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diff --git a/API_README.md b/API_README.md
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+++ b/API_README.md
@@ -0,0 +1,170 @@
+# GraphRAG API
+
+This README provides a detailed guide on the `api.py` file, which serves as the API interface for the GraphRAG (Graph Retrieval-Augmented Generation) system. GraphRAG is a powerful tool that combines graph-based knowledge representation with retrieval-augmented generation techniques to provide context-aware responses to queries.
+
+## Table of Contents
+
+1. [Overview](#overview)
+2. [Setup](#setup)
+3. [API Endpoints](#api-endpoints)
+4. [Data Models](#data-models)
+5. [Core Functionality](#core-functionality)
+6. [Usage Examples](#usage-examples)
+7. [Configuration](#configuration)
+8. [Troubleshooting](#troubleshooting)
+
+## Overview
+
+The `api.py` file implements a FastAPI-based server that provides various endpoints for interacting with the GraphRAG system. It supports different types of queries, including direct chat, GraphRAG-specific queries, DuckDuckGo searches, and a combined full-model search.
+
+Key features:
+- Multiple query types (local and global searches)
+- Context caching for improved performance
+- Background tasks for long-running operations
+- Customizable settings through environment variables and config files
+- Integration with external services (e.g., Ollama for LLM interactions)
+
+## Setup
+
+1. Install dependencies:
+   ```
+   pip install -r requirements.txt
+   ```
+
+2. Set up environment variables:
+   Create a `.env` file in the `indexing` directory with the following variables:
+   ```
+   LLM_API_BASE=<your_llm_api_base_url>
+   LLM_MODEL=<your_llm_model>
+   LLM_PROVIDER=<llm_provider>
+   EMBEDDINGS_API_BASE=<your_embeddings_api_base_url>
+   EMBEDDINGS_MODEL=<your_embeddings_model>
+   EMBEDDINGS_PROVIDER=<embeddings_provider>
+   INPUT_DIR=./indexing/output
+   ROOT_DIR=indexing
+   API_PORT=8012
+   ```
+
+3. Run the API server:
+   ```
+   python api.py --host 0.0.0.0 --port 8012
+   ```
+
+## API Endpoints
+
+### `/v1/chat/completions` (POST)
+Main endpoint for chat completions. Supports different models:
+- `direct-chat`: Direct interaction with the LLM
+- `graphrag-local-search:latest`: Local search using GraphRAG
+- `graphrag-global-search:latest`: Global search using GraphRAG
+- `duckduckgo-search:latest`: Web search using DuckDuckGo
+- `full-model:latest`: Combined search using all available models
+
+### `/v1/prompt_tune` (POST)
+Initiates prompt tuning process in the background.
+
+### `/v1/prompt_tune_status` (GET)
+Retrieves the status and logs of the prompt tuning process.
+
+### `/v1/index` (POST)
+Starts the indexing process for GraphRAG in the background.
+
+### `/v1/index_status` (GET)
+Retrieves the status and logs of the indexing process.
+
+### `/health` (GET)
+Health check endpoint.
+
+### `/v1/models` (GET)
+Lists available models.
+
+## Data Models
+
+The API uses several Pydantic models for request and response handling:
+
+- `Message`: Represents a chat message with role and content.
+- `QueryOptions`: Options for GraphRAG queries, including query type, preset, and community level.
+- `ChatCompletionRequest`: Request model for chat completions.
+- `ChatCompletionResponse`: Response model for chat completions.
+- `PromptTuneRequest`: Request model for prompt tuning.
+- `IndexingRequest`: Request model for indexing.
+
+## Core Functionality
+
+### Context Loading
+The `load_context` function loads necessary data for GraphRAG queries, including entities, relationships, reports, text units, and covariates.
+
+### Search Engine Setup
+`setup_search_engines` initializes both local and global search engines using the loaded context data.
+
+### Query Execution
+Different query types are handled by separate functions:
+- `run_direct_chat`: Sends queries directly to the LLM.
+- `run_graphrag_query`: Executes GraphRAG queries (local or global).
+- `run_duckduckgo_search`: Performs web searches using DuckDuckGo.
+- `run_full_model_search`: Combines results from all search types.
+
+### Background Tasks
+Long-running tasks like prompt tuning and indexing are executed as background tasks to prevent blocking the API.
+
+## Usage Examples
+
+### Sending a GraphRAG Query
+```python
+import requests
+
+url = "http://localhost:8012/v1/chat/completions"
+payload = {
+    "model": "graphrag-local-search:latest",
+    "messages": [{"role": "user", "content": "What is GraphRAG?"}],
+    "query_options": {
+        "query_type": "local-search",
+        "selected_folder": "your_indexed_folder",
+        "community_level": 2,
+        "response_type": "Multiple Paragraphs"
+    }
+}
+response = requests.post(url, json=payload)
+print(response.json())
+```
+
+### Starting Indexing Process
+```python
+import requests
+
+url = "http://localhost:8012/v1/index"
+payload = {
+    "llm_model": "your_llm_model",
+    "embed_model": "your_embed_model",
+    "root": "./indexing",
+    "verbose": True,
+    "emit": ["parquet", "csv"]
+}
+response = requests.post(url, json=payload)
+print(response.json())
+```
+
+## Configuration
+
+The API can be configured through:
+1. Environment variables
+2. A `config.yaml` file (path specified by `GRAPHRAG_CONFIG` environment variable)
+3. Command-line arguments when starting the server
+
+Key configuration options:
+- `llm_model`: The language model to use
+- `embedding_model`: The embedding model for vector representations
+- `community_level`: Depth of community analysis in GraphRAG
+- `token_limit`: Maximum tokens for context
+- `api_key`: API key for LLM service
+- `api_base`: Base URL for LLM API
+- `api_type`: Type of API (e.g., "openai")
+
+## Troubleshooting
+
+1. If you encounter connection errors with Ollama, ensure the service is running and accessible.
+2. For "context loading failed" errors, check that the indexed data is present in the specified output folder.
+3. If prompt tuning or indexing processes fail, review the logs using the respective status endpoints.
+4. For performance issues, consider adjusting the `community_level` and `token_limit` settings.
+
+For more detailed information on GraphRAG's indexing and querying processes, refer to the official GraphRAG documentation.
\ No newline at end of file
diff --git a/EMBEDDING_PROXY_README.md b/EMBEDDING_PROXY_README.md
new file mode 100644
index 0000000000000000000000000000000000000000..4bc1dff164b5c81288b6050f5550ac3b8a40b216
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+# Using Ollama Embeddings with GraphRAG: A Quick Guide
+
+## Problem
+
+GraphRAG is designed to work with OpenAI-compatible APIs for both language models and embeddings and Ollama currently has their own way of doing embeddings.
+
+## Solution: Embeddings Proxy
+
+To bridge this gap, let's use an embeddings proxy. This proxy acts as a middleware between GraphRAG and Ollama, translating Ollama's embedding responses into a format that GraphRAG expects.
+
+## Use the Embeddings Proxy
+
+1. **Set up the proxy:**
+   - Save the provided `embedding_proxy.py` script to your project directory.
+   - Install required dependencies (not needed if you've already done this in the normal setup): `pip install fastapi uvicorn httpx`
+
+2. **Run the proxy:**
+   ```bash
+   python embedding_proxy.py --port 11435 --host http://localhost:11434
+   ```
+   This starts the proxy on port 11435, connecting to Ollama at localhost:11434.
+
+3. **Configure GraphRAG:**
+   Update your `settings.yaml` file to use the proxy for embeddings:
+
+   ```yaml
+   embeddings:
+     llm:
+       api_key: ${GRAPHRAG_API_KEY}
+       type: openai_embedding
+       model: nomic-embed-text:latest
+       api_base: http://localhost:11435  # Point to your proxy
+   ```
+
+4. **Run GraphRAG:**
+   With the proxy running and the configuration updated, you can now run GraphRAG as usual. It will use Ollama for embeddings through the proxy.
diff --git a/INDEX_APP_README.md b/INDEX_APP_README.md
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index 0000000000000000000000000000000000000000..59ecc0d685aa3a32045c60e118af903c73cd14ea
--- /dev/null
+++ b/INDEX_APP_README.md
@@ -0,0 +1,127 @@
+# GraphRAG Indexer Application
+
+## Table of Contents
+1. [Introduction](#introduction)
+2. [Setup](#setup)
+3. [Application Structure](#application-structure)
+4. [Indexing](#indexing)
+5. [Prompt Tuning](#prompt-tuning)
+6. [Data Management](#data-management)
+7. [Configuration](#configuration)
+8. [API Integration](#api-integration)
+9. [Troubleshooting](#troubleshooting)
+
+## Introduction
+
+The GraphRAG Indexer Application is a Gradio-based user interface for managing the indexing and prompt tuning processes of the GraphRAG (Graph Retrieval-Augmented Generation) system. This application provides an intuitive way to configure, run, and monitor indexing and prompt tuning tasks, as well as manage related data files.
+
+## Setup
+
+1. Ensure you have Python 3.7+ installed.
+2. Install required dependencies:
+   ```
+   pip install gradio requests pydantic python-dotenv pyyaml pandas lancedb
+   ```
+3. Set up environment variables in `indexing/.env`:
+   ```
+   API_BASE_URL=http://localhost:8012
+   LLM_API_BASE=http://localhost:11434
+   EMBEDDINGS_API_BASE=http://localhost:11434
+   ROOT_DIR=indexing
+   ```
+4. Run the application:
+   ```
+   python index_app.py
+   ```
+
+## Application Structure
+
+The application is divided into three main tabs:
+1. Indexing
+2. Prompt Tuning
+3. Data Management
+
+Each tab provides specific functionality related to its purpose.
+
+## Indexing
+
+The Indexing tab allows users to configure and run the GraphRAG indexing process.
+
+### Features:
+- Select LLM and Embedding models
+- Set root directory for indexing
+- Configure verbose and cache options
+- Advanced options for resuming, reporting, and output formats
+- Run indexing and check status
+
+### Usage:
+1. Select the desired LLM and Embedding models from the dropdowns.
+2. Set the root directory for indexing.
+3. Configure additional options as needed.
+4. Click "Run Indexing" to start the process.
+5. Use "Check Indexing Status" to monitor progress.
+
+## Prompt Tuning
+
+The Prompt Tuning tab enables users to configure and run prompt tuning for GraphRAG.
+
+### Features:
+- Set root directory and domain
+- Choose tuning method (random, top, all)
+- Configure limit, language, max tokens, and chunk size
+- Option to exclude entity types
+- Run prompt tuning and check status
+
+### Usage:
+1. Set the root directory and optional domain.
+2. Choose the tuning method and configure parameters.
+3. Click "Run Prompt Tuning" to start the process.
+4. Use "Check Prompt Tuning Status" to monitor progress.
+
+## Data Management
+
+The Data Management tab provides tools for managing input files and viewing output folders.
+
+### Features:
+- File upload functionality
+- File list management (view, refresh, delete)
+- Output folder exploration
+- File content viewing and editing
+
+### Usage:
+1. Use the File Upload section to add new input files.
+2. Manage existing files in the File Management section.
+3. Explore output folders and their contents in the Output Folders section.
+
+## Configuration
+
+The application uses a combination of environment variables and a `config.yaml` file for configuration. Key settings include:
+
+- LLM and Embedding models
+- API endpoints
+- Community level for GraphRAG
+- Token limits
+- API keys and types
+
+To modify these settings, edit the `.env` file or create a `config.yaml` file in the root directory.
+
+## API Integration
+
+The application integrates with a backend API for executing indexing and prompt tuning tasks. Key API endpoints used:
+
+- `/v1/index`: Start indexing process
+- `/v1/index_status`: Check indexing status
+- `/v1/prompt_tune`: Start prompt tuning process
+- `/v1/prompt_tune_status`: Check prompt tuning status
+
+These endpoints are called using the `requests` library, with appropriate error handling and logging.
+
+## Troubleshooting
+
+Common issues and solutions:
+
+1. **Model loading fails**: Ensure the LLM_API_BASE is correctly set and the API is accessible.
+2. **Indexing or Prompt Tuning doesn't start**: Check API connectivity and verify that all required fields are filled.
+3. **File management issues**: Ensure proper read/write permissions in the ROOT_DIR.
+
+For any persistent issues, check the application logs (visible in the console) for detailed error messages.
\ No newline at end of file
diff --git a/LICENSE b/LICENSE
new file mode 100644
index 0000000000000000000000000000000000000000..d0f08b2b037f2b6c22beb433aa39156fa0cd8eee
--- /dev/null
+++ b/LICENSE
@@ -0,0 +1,21 @@
+MIT License
+
+Copyright (c) 2024 Beckett
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in all
+copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+SOFTWARE.
diff --git a/README.md b/README.md
index 54e8afb69937ea52560594d2f57e636332e13e58..1497a0081f160c0417b5049dbcf5c5bd65d8fe8c 100644
--- a/README.md
+++ b/README.md
@@ -1,12 +1,268 @@
 ---
-title: Graph Rag Local Ui Scl
-emoji: 📊
-colorFrom: yellow
-colorTo: indigo
+title: graph-rag-local-ui-scl
+app_file: index_app.py
 sdk: gradio
 sdk_version: 4.41.0
-app_file: app.py
-pinned: false
 ---
+#  🕸️ GraphRAG Local
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+Welcome to **GraphRAG Local with Index/Prompt-Tuning and Querying/Chat UIs**! This project is an adaptation of Microsoft's [GraphRAG](https://github.com/microsoft/graphrag), tailored to support local models and featuring a comprehensive interactive user interface ecosystem. 
+
+## 📄 Research Paper
+
+For more details on the original GraphRAG implementation, please refer to the [GraphRAG paper](https://arxiv.org/pdf/2404.16130).
+
+## 🌟 Features
+
+- **API-Centric Architecture:** A robust FastAPI-based server (`api.py`) serving as the core of the GraphRAG operations.
+- **Dedicated Indexing and Prompt Tuning UI:** A separate Gradio-based interface (`index_app.py`) for managing indexing and prompt tuning processes.
+- **Local Model Support:** Leverage local models for LLM and embeddings, including compatibility with Ollama and OpenAI-compatible APIs.
+- **Cost-Effective:** Eliminate dependency on costly cloud-based models by using your own local models.
+- **Interactive UI:** User-friendly interface for managing data, running queries, and visualizing results (main app).
+- **Real-time Graph Visualization:** Visualize your knowledge graph in 2D or 3D using Plotly (main app).
+- **File Management:** Upload, view, edit, and delete input files directly from the UI.
+- **Settings Management:** Easily update and manage your GraphRAG settings through the UI.
+- **Output Exploration:** Browse and view indexing outputs and artifacts.
+- **Logging:** Real-time logging for better debugging and monitoring.
+- **Flexible Querying:** Support for global, local, and direct chat queries with customizable parameters (main app).
+- **Customizable Visualization:** Adjust graph layout, node sizes, colors, and more to suit your preferences (main app).
+
+![GraphRAG UI](uiv3.png)
+
+## 🗺️ Roadmap
+
+### **Important Note:** *Updates have been slow due to the day job and lack of immediate time, but I promise I am working on errors/issues in the background when able to. Please feel free to contribute/create a PR if you want to help out and find a great solution to an issue presented.* 
+**The GraphRAG Local UI ecosystem is currently undergoing a major transition. While the main app remains functional, I am actively developing separate applications for Indexing/Prompt Tuning and Querying/Chat, all built around a robust central API. Users should expect some changes and potential instability during this transition period.**
+
+*While it is currently functional, it has only been primarily tested on a Mac Studio M2.*
+
+My vision for the GraphRAG Local UI ecosystem is to become the ultimate set of tools for working with GraphRAG and local LLMs, incorporating as many cool features and knowledge graph tools as possible. I am continuously working on improvements and new features.
+
+### Recent Updates
+- [x] New API-centric architecture (`api.py`)
+- [x] Dedicated Indexing and Prompt Tuning UI (`index_app.py`)
+- [x] Improved file management and output exploration
+- [x] Background task handling for long-running operations
+- [x] Enhanced configuration options through environment variables and YAML files
+
+### Upcoming Features
+- [ ] Dedicated Querying/Chat UI that interacts with the API
+- [ ] Dockerfile for easier deployment
+- [ ] Launch your own GraphRAG API server for use in external applications
+- [ ] Experimental: Mixture of Agents for Indexing/Query of knowledge graph
+- [ ] Support for more file formats (CSV, PDF, etc.)
+- [ ] Web search/Scraping capabilities
+- [ ] Advanced graph analysis tools
+- [ ] Integration with popular knowledge management tools
+- [ ] Collaborative features for team-based knowledge graph building
+
+I am committed to making the GraphRAG Local UI ecosystem the most comprehensive and user-friendly toolset for working with knowledge graphs and LLMs. Your feedback and suggestions are much needed in shaping the future of this project.
+
+Feel free to open an Issue if you run into an error, and I will try to address it as soon as possible to minimize any downtime you might experience.
+
+---
+
+## 📦 Installation and Setup
+
+Follow these steps to set up and run the GraphRAG Local UI ecosystem:
+
+1. **Create and activate a new conda environment:**
+    ```bash
+    conda create -n graphrag-local -y
+    conda activate graphrag-local
+    ```
+
+2. **Install the required packages:**
+
+    First install the GraphRAG dir from this repo (has changes not present in the Microsoft repo):
+
+    ```bash
+    pip install -e ./graphrag
+    ```
+
+    Then install the rest of the dependencies:
+
+    ```bash
+    pip install -r requirements.txt
+    ```
+
+3. **Launch the API server:**
+    ```bash
+    python api.py --host 0.0.0.0 --port 8012 --reload
+    ```
+
+4. **If using Ollama for embeddings, launch the embedding proxy:**
+    ```bash
+    python embedding_proxy.py --port 11435 --host http://localhost:11434
+    ```
+    Note: For detailed instructions on using Ollama embeddings with GraphRAG, refer to the EMBEDDING_PROXY_README.md file.
+
+5. **Launch the Indexing and Prompt Tuning UI:**
+    ```bash
+    gradio index_app.py
+    ```
+
+6. **Launch the main interactive UI (legacy app):**
+    ```bash
+    gradio app.py
+    ```
+    or
+    ```bash
+    python app.py
+    ```
+
+7. **Access the UIs:**
+    - Indexing and Prompt Tuning UI: Open your web browser and navigate to `http://localhost:7861`
+    - Main UI (legacy): Open your web browser and navigate to `http://localhost:7860`
+
+---
+
+## 🚀 Getting Started with GraphRAG Local
+
+GraphRAG is designed for flexibility, allowing you to quickly create and initialize your own indexing directory. Follow these steps to set up your environment:
+
+### 1. Create the Indexing Directory
+
+This repo comes with a pre-made Indexing folder but you may want to make your own, so here are the steps. First, create the required directory structure for your input data and indexing results:
+
+```bash
+mkdir -p ./indexing/input
+```
+
+This directory will store:
+- Input .txt files for indexing
+- Output results
+- Prompts for Prompt Tuning
+
+### 2. Add Sample Data (Optional)
+
+If you want to start with sample data, copy it to your new input directory:
+
+```bash
+cp input/* ./indexing/input
+```
+
+You can also add your own .txt files to this directory for indexing.
+
+### 3. Initialize the Indexing Folder
+
+Run the following command to initialize the ./indexing folder with the required files:
+
+```bash
+python -m graphrag.index --init --root ./indexing
+```
+
+### 4. Configure Settings
+
+Move the pre-configured `settings.yaml` file to your indexing directory:
+
+```bash
+mv settings.yaml ./indexing
+```
+
+This file contains the main configuration, pre-set for use with local models.
+
+### 5. Customization
+
+You can customize your setup by modifying the following environment variables:
+- `ROOT_DIR`: Points to your main indexing directory
+- `INPUT_DIR`: Specifies the location of your input files
+
+### 📚 Additional Resources
+
+For more detailed information and advanced usage, refer to the [official GraphRAG documentation](https://microsoft.github.io/graphrag/posts/get_started/).
+
+---
+
+## 🖥️ GraphRAG Application Ecosystem
+
+The GraphRAG Local UI ecosystem consists of three main components, each serving a specific purpose in the knowledge graph creation and querying process:
+
+### 1. Core API (`api.py`)
+
+The `api.py` file serves as the backbone of the GraphRAG system, providing a robust FastAPI-based server that handles all core operations.
+
+Key features:
+- Manages indexing and prompt tuning processes
+- Handles various query types (local, global, and direct chat)
+- Integrates with local LLM and embedding models
+- Provides endpoints for file management and system configuration
+
+Usage:
+```bash
+python api.py --host 0.0.0.0 --port 8012 --reload
+```
+
+Note: If using Ollama for embeddings, make sure to run the embedding proxy (`embedding_proxy.py`) alongside `api.py`. Refer to the EMBEDDING_PROXY_README.md for detailed instructions.
+
+### 2. Indexing and Prompt Tuning UI (`index_app.py`)
+
+#### Workflow Integration
+
+1. Start the Core API (`api.py`) to enable backend functionality.
+2. If using Ollama for embeddings, start the embedding proxy (`embedding_proxy.py`).
+3. Use the Indexing and Prompt Tuning UI (`index_app.py`) to prepare your data and fine-tune the system.
+4. (Optional) Use the Main Interactive UI (`app.py`) for visualization and legacy features.
+
+This modular approach allows for greater flexibility and easier maintenance of the GraphRAG system. As development continues, the functionality of `app.py` will be gradually integrated into new, specialized interfaces that interact with the core API.
+
+### 2. Indexing and Prompt Tuning UI (`index_app.py`)
+
+The `index_app.py` file provides a user-friendly Gradio interface for managing the indexing and prompt tuning processes.
+
+Key features:
+- Configure and run indexing tasks
+- Set up and execute prompt tuning
+- Manage input files and explore output data
+- Adjust LLM and embedding settings
+
+Usage:
+```bash
+python index_app.py
+```
+Access the UI at `http://localhost:7861`
+
+### 3. Main Interactive UI (Legacy App) (`app.py`)
+
+The `app.py` file is the pre-existing main application, which is being phased out but still provides useful functionality.
+
+Key features:
+- Visualize knowledge graphs in 2D or 3D
+- Run queries and view results
+- Manage GraphRAG settings
+- Explore indexed data
+
+Usage:
+```bash
+python app.py
+```
+or
+```bash
+gradio app.py
+```
+Access the UI at `http://localhost:7860`
+
+### Workflow Integration
+
+1. Start the Core API (`api.py`) to enable backend functionality.
+2. Use the Indexing and Prompt Tuning UI (`index_app.py`) to prepare your data and fine-tune the system.
+3. (Optional) Use the Main Interactive UI (`app.py`) for visualization and legacy features.
+
+This modular approach allows for greater flexibility and easier maintenance of the GraphRAG system. As development continues, the functionality of `app.py` will be gradually integrated into new, specialized interfaces that interact with the core API.
+
+---
+
+## 📚 Citations
+
+- Original GraphRAG repository by Microsoft: [GraphRAG](https://github.com/microsoft/graphrag)
+- This project took inspiration and used the GraphRAG4OpenWebUI repository by win4r (https://github.com/win4r/GraphRAG4OpenWebUI) as a starting point for the API implementation.
+
+---
+
+## Troubleshooting
+
+- If you encounter any issues with the new API or Indexing UI, please check the console logs for detailed error messages.
+- For the main app, if you can't run `gradio app.py`, try running `pip install --upgrade gradio` and then exit out and start a new terminal. It should then load and launch properly as a Gradio app.
+- On Windows, if you run into an encoding/UTF error, you can change it to the correct format in the YAML Settings menu.
+
+For any issues or feature requests, please open an issue on the GitHub repository. Happy knowledge graphing!
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@@ -0,0 +1,943 @@
+from dotenv import load_dotenv
+import os
+import asyncio
+import tempfile
+from collections import deque
+import time
+import uuid
+import json
+import re
+import pandas as pd
+import tiktoken
+import logging
+import yaml
+import shutil
+from fastapi import Body
+from fastapi import FastAPI, HTTPException, Request, BackgroundTasks, Depends
+from fastapi.responses import JSONResponse, StreamingResponse
+from pydantic import BaseModel, Field
+from typing import List, Optional, Dict, Any, Union
+from contextlib import asynccontextmanager
+from web import DuckDuckGoSearchAPIWrapper
+from functools import lru_cache
+import requests
+import subprocess
+import argparse
+
+# GraphRAG related imports
+from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey
+from graphrag.query.indexer_adapters import (
+    read_indexer_covariates,
+    read_indexer_entities,
+    read_indexer_relationships,
+    read_indexer_reports,
+    read_indexer_text_units,
+)
+from graphrag.query.input.loaders.dfs import store_entity_semantic_embeddings
+from graphrag.query.llm.oai.chat_openai import ChatOpenAI
+from graphrag.query.llm.oai.embedding import OpenAIEmbedding
+from graphrag.query.llm.oai.typing import OpenaiApiType
+from graphrag.query.question_gen.local_gen import LocalQuestionGen
+from graphrag.query.structured_search.local_search.mixed_context import LocalSearchMixedContext
+from graphrag.query.structured_search.local_search.search import LocalSearch
+from graphrag.query.structured_search.global_search.community_context import GlobalCommunityContext
+from graphrag.query.structured_search.global_search.search import GlobalSearch
+from graphrag.vector_stores.lancedb import LanceDBVectorStore
+
+# Set up logging
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
+logger = logging.getLogger(__name__)
+
+# Load environment variables
+load_dotenv('indexing/.env')
+LLM_API_BASE = os.getenv('LLM_API_BASE', '')
+LLM_MODEL = os.getenv('LLM_MODEL')
+LLM_PROVIDER = os.getenv('LLM_PROVIDER', 'openai').lower()
+EMBEDDINGS_API_BASE = os.getenv('EMBEDDINGS_API_BASE', '')
+EMBEDDINGS_MODEL = os.getenv('EMBEDDINGS_MODEL')
+EMBEDDINGS_PROVIDER = os.getenv('EMBEDDINGS_PROVIDER', 'openai').lower()
+INPUT_DIR = os.getenv('INPUT_DIR', './indexing/output')
+ROOT_DIR = os.getenv('ROOT_DIR', 'indexing')
+PORT = int(os.getenv('API_PORT', 8012))
+LANCEDB_URI = f"{INPUT_DIR}/lancedb"
+COMMUNITY_REPORT_TABLE = "create_final_community_reports"
+ENTITY_TABLE = "create_final_nodes"
+ENTITY_EMBEDDING_TABLE = "create_final_entities"
+RELATIONSHIP_TABLE = "create_final_relationships"
+COVARIATE_TABLE = "create_final_covariates"
+TEXT_UNIT_TABLE = "create_final_text_units"
+COMMUNITY_LEVEL = 2
+
+# Global variables for storing search engines and question generator
+local_search_engine = None
+global_search_engine = None
+question_generator = None
+
+# Data models
+class Message(BaseModel):
+    role: str
+    content: str
+
+class QueryOptions(BaseModel):
+    query_type: str
+    preset: Optional[str] = None
+    community_level: Optional[int] = None
+    response_type: Optional[str] = None
+    custom_cli_args: Optional[str] = None
+    selected_folder: Optional[str] = None
+
+class ChatCompletionRequest(BaseModel):
+    model: str
+    messages: List[Message]
+    temperature: Optional[float] = 0.7
+    max_tokens: Optional[int] = None
+    stream: Optional[bool] = False
+    query_options: Optional[QueryOptions] = None
+
+class ChatCompletionResponseChoice(BaseModel):
+    index: int
+    message: Message
+    finish_reason: Optional[str] = None
+
+class Usage(BaseModel):
+    prompt_tokens: int
+    completion_tokens: int
+    total_tokens: int
+
+class ChatCompletionResponse(BaseModel):
+    id: str = Field(default_factory=lambda: f"chatcmpl-{uuid.uuid4().hex}")
+    object: str = "chat.completion"
+    created: int = Field(default_factory=lambda: int(time.time()))
+    model: str
+    choices: List[ChatCompletionResponseChoice]
+    usage: Usage
+    system_fingerprint: Optional[str] = None
+
+def list_output_folders():
+    return [f for f in os.listdir(INPUT_DIR) if os.path.isdir(os.path.join(INPUT_DIR, f))]
+
+def list_folder_contents(folder_name):
+    folder_path = os.path.join(INPUT_DIR, folder_name, "artifacts")
+    if not os.path.exists(folder_path):
+        return []
+    return [item for item in os.listdir(folder_path) if item.endswith('.parquet')]
+
+def normalize_api_base(api_base: str) -> str:
+    """Normalize the API base URL by removing trailing slashes and /v1 or /api suffixes."""
+    api_base = api_base.rstrip('/')
+    if api_base.endswith('/v1') or api_base.endswith('/api'):
+        api_base = api_base[:-3]
+    return api_base
+
+def get_models_endpoint(api_base: str, api_type: str) -> str:
+    """Get the appropriate models endpoint based on the API type."""
+    normalized_base = normalize_api_base(api_base)
+    if api_type.lower() == 'openai':
+        return f"{normalized_base}/v1/models"
+    elif api_type.lower() == 'azure':
+        return f"{normalized_base}/openai/deployments?api-version=2022-12-01"
+    else:  # For other API types (e.g., local LLMs)
+        return f"{normalized_base}/models"
+
+async def fetch_available_models(settings: Dict[str, Any]) -> List[str]:
+    """Fetch available models from the API."""
+    api_base = settings['api_base']
+    api_type = settings['api_type']
+    api_key = settings['api_key']
+
+    models_endpoint = get_models_endpoint(api_base, api_type)
+    headers = {"Authorization": f"Bearer {api_key}"} if api_key else {}
+
+    try:
+        response = requests.get(models_endpoint, headers=headers, timeout=10)
+        response.raise_for_status()
+        data = response.json()
+
+        if api_type.lower() == 'openai':
+            return [model['id'] for model in data['data']]
+        elif api_type.lower() == 'azure':
+            return [model['id'] for model in data['value']]
+        else:
+            # Adjust this based on the actual response format of your local LLM API
+            return [model['name'] for model in data['models']]
+    except requests.exceptions.RequestException as e:
+        logger.error(f"Error fetching models: {str(e)}")
+        return []
+
+def load_settings():
+    config_path = os.getenv('GRAPHRAG_CONFIG', 'config.yaml')
+    if os.path.exists(config_path):
+        with open(config_path, 'r') as config_file:
+            config = yaml.safe_load(config_file)
+    else:
+        config = {}
+
+    settings = {
+        'llm_model': os.getenv('LLM_MODEL', config.get('llm_model')),
+        'embedding_model': os.getenv('EMBEDDINGS_MODEL', config.get('embedding_model')),
+        'community_level': int(os.getenv('COMMUNITY_LEVEL', config.get('community_level', 2))),
+        'token_limit': int(os.getenv('TOKEN_LIMIT', config.get('token_limit', 4096))),
+        'api_key': os.getenv('GRAPHRAG_API_KEY', config.get('api_key')),
+        'api_base': os.getenv('LLM_API_BASE', config.get('api_base')),
+        'embeddings_api_base': os.getenv('EMBEDDINGS_API_BASE', config.get('embeddings_api_base')),
+        'api_type': os.getenv('API_TYPE', config.get('api_type', 'openai')),
+    }
+
+    return settings
+
+    return settings
+
+async def setup_llm_and_embedder(settings):
+    logger.info("Setting up LLM and embedder")
+    try:
+        llm = ChatOpenAI(
+            api_key=settings['api_key'],
+            api_base=f"{settings['api_base']}/v1",
+            model=settings['llm_model'],
+            api_type=OpenaiApiType[settings['api_type'].capitalize()],
+            max_retries=20,
+        )
+
+        token_encoder = tiktoken.get_encoding("cl100k_base")
+
+        text_embedder = OpenAIEmbedding(
+            api_key=settings['api_key'],
+            api_base=f"{settings['embeddings_api_base']}/v1",
+            api_type=OpenaiApiType[settings['api_type'].capitalize()],
+            model=settings['embedding_model'],
+            deployment_name=settings['embedding_model'],
+            max_retries=20,
+        )
+
+        logger.info("LLM and embedder setup complete")
+        return llm, token_encoder, text_embedder
+    except Exception as e:
+        logger.error(f"Error setting up LLM and embedder: {str(e)}")
+        raise HTTPException(status_code=500, detail=f"Failed to set up LLM and embedder: {str(e)}")
+
+async def load_context(selected_folder, settings):
+    """
+    Load context data including entities, relationships, reports, text units, and covariates
+    """
+    logger.info("Loading context data")
+    try:
+        input_dir = os.path.join(INPUT_DIR, selected_folder, "artifacts")
+        entity_df = pd.read_parquet(f"{input_dir}/{ENTITY_TABLE}.parquet")
+        entity_embedding_df = pd.read_parquet(f"{input_dir}/{ENTITY_EMBEDDING_TABLE}.parquet")
+        entities = read_indexer_entities(entity_df, entity_embedding_df, settings['community_level'])
+
+        description_embedding_store = LanceDBVectorStore(collection_name="entity_description_embeddings")
+        description_embedding_store.connect(db_uri=LANCEDB_URI)
+        store_entity_semantic_embeddings(entities=entities, vectorstore=description_embedding_store)
+
+        relationship_df = pd.read_parquet(f"{input_dir}/{RELATIONSHIP_TABLE}.parquet")
+        relationships = read_indexer_relationships(relationship_df)
+
+        report_df = pd.read_parquet(f"{input_dir}/{COMMUNITY_REPORT_TABLE}.parquet")
+        reports = read_indexer_reports(report_df, entity_df, COMMUNITY_LEVEL)
+
+        text_unit_df = pd.read_parquet(f"{input_dir}/{TEXT_UNIT_TABLE}.parquet")
+        text_units = read_indexer_text_units(text_unit_df)
+
+        covariate_df = pd.read_parquet(f"{input_dir}/{COVARIATE_TABLE}.parquet")
+        claims = read_indexer_covariates(covariate_df)
+        logger.info(f"Number of claim records: {len(claims)}")
+        covariates = {"claims": claims}
+
+        logger.info("Context data loading complete")
+        return entities, relationships, reports, text_units, description_embedding_store, covariates
+    except Exception as e:
+        logger.error(f"Error loading context data: {str(e)}")
+        raise
+
+async def setup_search_engines(llm, token_encoder, text_embedder, entities, relationships, reports, text_units,
+                               description_embedding_store, covariates):
+    """
+    Set up local and global search engines
+    """
+    logger.info("Setting up search engines")
+
+    # Set up local search engine
+    local_context_builder = LocalSearchMixedContext(
+        community_reports=reports,
+        text_units=text_units,
+        entities=entities,
+        relationships=relationships,
+        covariates=covariates,
+        entity_text_embeddings=description_embedding_store,
+        embedding_vectorstore_key=EntityVectorStoreKey.ID,
+        text_embedder=text_embedder,
+        token_encoder=token_encoder,
+    )
+
+    local_context_params = {
+        "text_unit_prop": 0.5,
+        "community_prop": 0.1,
+        "conversation_history_max_turns": 5,
+        "conversation_history_user_turns_only": True,
+        "top_k_mapped_entities": 10,
+        "top_k_relationships": 10,
+        "include_entity_rank": True,
+        "include_relationship_weight": True,
+        "include_community_rank": False,
+        "return_candidate_context": False,
+        "embedding_vectorstore_key": EntityVectorStoreKey.ID,
+        "max_tokens": 12_000,
+    }
+
+    local_llm_params = {
+        "max_tokens": 2_000,
+        "temperature": 0.0,
+    }
+
+    local_search_engine = LocalSearch(
+        llm=llm,
+        context_builder=local_context_builder,
+        token_encoder=token_encoder,
+        llm_params=local_llm_params,
+        context_builder_params=local_context_params,
+        response_type="multiple paragraphs",
+    )
+
+    # Set up global search engine
+    global_context_builder = GlobalCommunityContext(
+        community_reports=reports,
+        entities=entities,
+        token_encoder=token_encoder,
+    )
+
+    global_context_builder_params = {
+        "use_community_summary": False,
+        "shuffle_data": True,
+        "include_community_rank": True,
+        "min_community_rank": 0,
+        "community_rank_name": "rank",
+        "include_community_weight": True,
+        "community_weight_name": "occurrence weight",
+        "normalize_community_weight": True,
+        "max_tokens": 12_000,
+        "context_name": "Reports",
+    }
+
+    map_llm_params = {
+        "max_tokens": 1000,
+        "temperature": 0.0,
+        "response_format": {"type": "json_object"},
+    }
+
+    reduce_llm_params = {
+        "max_tokens": 2000,
+        "temperature": 0.0,
+    }
+
+    global_search_engine = GlobalSearch(
+        llm=llm,
+        context_builder=global_context_builder,
+        token_encoder=token_encoder,
+        max_data_tokens=12_000,
+        map_llm_params=map_llm_params,
+        reduce_llm_params=reduce_llm_params,
+        allow_general_knowledge=False,
+        json_mode=True,
+        context_builder_params=global_context_builder_params,
+        concurrent_coroutines=32,
+        response_type="multiple paragraphs",
+    )
+
+    logger.info("Search engines setup complete")
+    return local_search_engine, global_search_engine, local_context_builder, local_llm_params, local_context_params
+
+def format_response(response):
+    """
+    Format the response by adding appropriate line breaks and paragraph separations.
+    """
+    paragraphs = re.split(r'\n{2,}', response)
+
+    formatted_paragraphs = []
+    for para in paragraphs:
+        if '```' in para:
+            parts = para.split('```')
+            for i, part in enumerate(parts):
+                if i % 2 == 1:  # This is a code block
+                    parts[i] = f"\n```\n{part.strip()}\n```\n"
+            para = ''.join(parts)
+        else:
+            para = para.replace('. ', '.\n')
+
+        formatted_paragraphs.append(para.strip())
+
+    return '\n\n'.join(formatted_paragraphs)
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    global settings
+    try:
+        logger.info("Loading settings...")
+        settings = load_settings()
+        logger.info("Settings loaded successfully.")
+    except Exception as e:
+        logger.error(f"Error loading settings: {str(e)}")
+        raise
+
+    yield
+
+    logger.info("Shutting down...")
+
+app = FastAPI(lifespan=lifespan)
+
+# Create a cache for loaded contexts
+context_cache = {}
+
+@lru_cache()
+def get_settings():
+    return load_settings()
+
+async def get_context(selected_folder: str, settings: dict = Depends(get_settings)):
+    if selected_folder not in context_cache:
+        try:
+            llm, token_encoder, text_embedder = await setup_llm_and_embedder(settings)
+            entities, relationships, reports, text_units, description_embedding_store, covariates = await load_context(selected_folder, settings)
+            local_search_engine, global_search_engine, local_context_builder, local_llm_params, local_context_params = await setup_search_engines(
+                llm, token_encoder, text_embedder, entities, relationships, reports, text_units,
+                description_embedding_store, covariates
+            )
+            question_generator = LocalQuestionGen(
+                llm=llm,
+                context_builder=local_context_builder,
+                token_encoder=token_encoder,
+                llm_params=local_llm_params,
+                context_builder_params=local_context_params,
+            )
+            context_cache[selected_folder] = {
+                "local_search_engine": local_search_engine,
+                "global_search_engine": global_search_engine,
+                "question_generator": question_generator
+            }
+        except Exception as e:
+            logger.error(f"Error loading context for folder {selected_folder}: {str(e)}")
+            raise HTTPException(status_code=500, detail=f"Failed to load context for folder {selected_folder}")
+    
+    return context_cache[selected_folder]
+
+@app.post("/v1/chat/completions")
+async def chat_completions(request: ChatCompletionRequest):
+    try:
+        logger.info(f"Received request for model: {request.model}")
+        if request.model == "direct-chat":
+            logger.info("Routing to direct chat")
+            return await run_direct_chat(request)
+        elif request.model.startswith("graphrag-"):
+            logger.info("Routing to GraphRAG query")
+            if not request.query_options or not request.query_options.selected_folder:
+                raise HTTPException(status_code=400, detail="Selected folder is required for GraphRAG queries")
+            return await run_graphrag_query(request)
+        elif request.model == "duckduckgo-search:latest":
+            logger.info("Routing to DuckDuckGo search")
+            return await run_duckduckgo_search(request)
+        elif request.model == "full-model:latest":
+            logger.info("Routing to full model search")
+            return await run_full_model_search(request)
+        else:
+            raise HTTPException(status_code=400, detail=f"Invalid model specified: {request.model}")
+    except HTTPException as he:
+        logger.error(f"HTTP Exception: {str(he)}")
+        raise he
+    except Exception as e:
+        logger.error(f"Error in chat completion: {str(e)}", exc_info=True)
+        raise HTTPException(status_code=500, detail=str(e))
+
+async def run_direct_chat(request: ChatCompletionRequest) -> ChatCompletionResponse:
+    try:
+        if not LLM_API_BASE:
+            raise ValueError("LLM_API_BASE environment variable is not set")
+        
+        headers = {"Content-Type": "application/json"}
+        
+        payload = {
+            "model": LLM_MODEL,
+            "messages": [{"role": msg.role, "content": msg.content} for msg in request.messages],
+            "stream": False
+        }
+        
+        # Optional parameters
+        if request.temperature is not None:
+            payload["temperature"] = request.temperature
+        if request.max_tokens is not None:
+            payload["max_tokens"] = request.max_tokens
+        
+        full_url = f"{normalize_api_base(LLM_API_BASE)}/v1/chat/completions"
+        
+        logger.info(f"Sending request to: {full_url}")
+        logger.info(f"Payload: {payload}")
+        
+        try:
+            response = requests.post(full_url, json=payload, headers=headers, timeout=10)
+            response.raise_for_status()
+        except requests.exceptions.RequestException as req_ex:
+            logger.error(f"Request to LLM API failed: {str(req_ex)}")
+            if isinstance(req_ex, requests.exceptions.ConnectionError):
+                raise HTTPException(status_code=503, detail="Unable to connect to LLM API. Please check your API settings.")
+            elif isinstance(req_ex, requests.exceptions.Timeout):
+                raise HTTPException(status_code=504, detail="Request to LLM API timed out")
+            else:
+                raise HTTPException(status_code=500, detail=f"Request to LLM API failed: {str(req_ex)}")
+        
+        result = response.json()
+        logger.info(f"Received response: {result}")
+        
+        content = result['choices'][0]['message']['content']
+        
+        return ChatCompletionResponse(
+            model=LLM_MODEL,
+            choices=[
+                ChatCompletionResponseChoice(
+                    index=0,
+                    message=Message(
+                        role="assistant",
+                        content=content
+                    ),
+                    finish_reason=None
+                )
+            ],
+            usage=None
+        )
+    except HTTPException as he:
+        logger.error(f"HTTP Exception in direct chat: {str(he)}")
+        raise he
+    except Exception as e:
+        logger.error(f"Unexpected error in direct chat: {str(e)}")
+        raise HTTPException(status_code=500, detail=f"An unexpected error occurred during the direct chat: {str(e)}")
+
+def get_embeddings(text: str) -> List[float]:
+    settings = load_settings()
+    embeddings_api_base = settings['embeddings_api_base']
+    
+    headers = {"Content-Type": "application/json"}
+    
+    if EMBEDDINGS_PROVIDER == 'ollama':
+        payload = {
+            "model": EMBEDDINGS_MODEL,
+            "prompt": text
+        }
+        full_url = f"{embeddings_api_base}/api/embeddings"
+    else:  # OpenAI-compatible API
+        payload = {
+            "model": EMBEDDINGS_MODEL,
+            "input": text
+        }
+        full_url = f"{embeddings_api_base}/v1/embeddings"
+    
+    try:
+        response = requests.post(full_url, json=payload, headers=headers)
+        response.raise_for_status()
+    except requests.exceptions.RequestException as req_ex:
+        logger.error(f"Request to Embeddings API failed: {str(req_ex)}")
+        raise HTTPException(status_code=500, detail=f"Failed to get embeddings: {str(req_ex)}")
+    
+    result = response.json()
+    
+    if EMBEDDINGS_PROVIDER == 'ollama':
+        return result['embedding']
+    else:
+        return result['data'][0]['embedding']
+    
+
+async def run_graphrag_query(request: ChatCompletionRequest) -> ChatCompletionResponse:
+    try:
+        query_options = request.query_options
+        query = request.messages[-1].content  # Get the last user message as the query
+        
+        cmd = ["python", "-m", "graphrag.query"]
+        cmd.extend(["--data", f"./indexing/output/{query_options.selected_folder}/artifacts"])
+        cmd.extend(["--method", query_options.query_type.split('-')[1]])  # 'global' or 'local'
+        
+        if query_options.community_level:
+            cmd.extend(["--community_level", str(query_options.community_level)])
+        if query_options.response_type:
+            cmd.extend(["--response_type", query_options.response_type])
+        
+        # Handle preset CLI args
+        if query_options.preset and query_options.preset != "Custom Query":
+            preset_args = get_preset_args(query_options.preset)
+            cmd.extend(preset_args)
+        
+        # Handle custom CLI args
+        if query_options.custom_cli_args:
+            cmd.extend(query_options.custom_cli_args.split())
+        
+        cmd.append(query)
+
+        logger.info(f"Executing GraphRAG query: {' '.join(cmd)}")
+        
+        result = subprocess.run(cmd, capture_output=True, text=True)
+        if result.returncode != 0:
+            raise Exception(f"GraphRAG query failed: {result.stderr}")
+
+        return ChatCompletionResponse(
+            model=request.model,
+            choices=[
+                ChatCompletionResponseChoice(
+                    index=0,
+                    message=Message(
+                        role="assistant",
+                        content=result.stdout
+                    ),
+                    finish_reason="stop"
+                )
+            ],
+            usage=Usage(
+                prompt_tokens=0,
+                completion_tokens=0,
+                total_tokens=0
+            )
+        )
+    except Exception as e:
+        logger.error(f"Error in GraphRAG query: {str(e)}")
+        raise HTTPException(status_code=500, detail=f"An error occurred during the GraphRAG query: {str(e)}")
+    
+
+def get_preset_args(preset: str) -> List[str]:
+    preset_args = {
+        "Default Global Search": ["--community_level", "2", "--response_type", "Multiple Paragraphs"],
+        "Default Local Search": ["--community_level", "2", "--response_type", "Multiple Paragraphs"],
+        "Detailed Global Analysis": ["--community_level", "3", "--response_type", "Multi-Page Report"],
+        "Detailed Local Analysis": ["--community_level", "3", "--response_type", "Multi-Page Report"],
+        "Quick Global Summary": ["--community_level", "1", "--response_type", "Single Paragraph"],
+        "Quick Local Summary": ["--community_level", "1", "--response_type", "Single Paragraph"],
+        "Global Bullet Points": ["--community_level", "2", "--response_type", "List of 3-7 Points"],
+        "Local Bullet Points": ["--community_level", "2", "--response_type", "List of 3-7 Points"],
+        "Comprehensive Global Report": ["--community_level", "4", "--response_type", "Multi-Page Report"],
+        "Comprehensive Local Report": ["--community_level", "4", "--response_type", "Multi-Page Report"],
+        "High-Level Global Overview": ["--community_level", "1", "--response_type", "Single Page"],
+        "High-Level Local Overview": ["--community_level", "1", "--response_type", "Single Page"],
+        "Focused Global Insight": ["--community_level", "3", "--response_type", "Single Paragraph"],
+        "Focused Local Insight": ["--community_level", "3", "--response_type", "Single Paragraph"],
+    }
+    return preset_args.get(preset, [])
+
+ddg_search = DuckDuckGoSearchAPIWrapper(max_results=5)
+
+async def run_duckduckgo_search(request: ChatCompletionRequest) -> ChatCompletionResponse:
+    query = request.messages[-1].content
+    results = ddg_search.results(query, max_results=5)
+    
+    if not results:
+        content = "No results found for the given query."
+    else:
+        content = "DuckDuckGo Search Results:\n\n"
+        for result in results:
+            content += f"Title: {result['title']}\n"
+            content += f"Snippet: {result['snippet']}\n"
+            content += f"Link: {result['link']}\n"
+            if 'date' in result:
+                content += f"Date: {result['date']}\n"
+            if 'source' in result:
+                content += f"Source: {result['source']}\n"
+            content += "\n"
+
+    return ChatCompletionResponse(
+        model=request.model,
+        choices=[
+            ChatCompletionResponseChoice(
+                index=0,
+                message=Message(
+                    role="assistant",
+                    content=content
+                ),
+                finish_reason="stop"
+            )
+        ],
+        usage=Usage(
+            prompt_tokens=0,
+            completion_tokens=0,
+            total_tokens=0
+        )
+    )
+
+async def run_full_model_search(request: ChatCompletionRequest) -> ChatCompletionResponse:
+    query = request.messages[-1].content
+    
+    # Run all search types
+    graphrag_global = await run_graphrag_query(ChatCompletionRequest(model="graphrag-global-search:latest", messages=request.messages, query_options=request.query_options))
+    graphrag_local = await run_graphrag_query(ChatCompletionRequest(model="graphrag-local-search:latest", messages=request.messages, query_options=request.query_options))
+    duckduckgo = await run_duckduckgo_search(request)
+    
+    # Combine results
+    combined_content = f"""Full Model Search Results:
+
+Global Search:
+{graphrag_global.choices[0].message.content}
+
+Local Search:
+{graphrag_local.choices[0].message.content}
+
+DuckDuckGo Search:
+{duckduckgo.choices[0].message.content}
+"""
+
+    return ChatCompletionResponse(
+        model=request.model,
+        choices=[
+            ChatCompletionResponseChoice(
+                index=0,
+                message=Message(
+                    role="assistant",
+                    content=combined_content
+                ),
+                finish_reason="stop"
+            )
+        ],
+        usage=Usage(
+            prompt_tokens=0,
+            completion_tokens=0,
+            total_tokens=0
+        )
+    )
+
+@app.get("/health")
+async def health_check():
+    return {"status": "ok"}
+
+@app.get("/v1/models")
+async def list_models():
+    settings = load_settings()
+    try:
+        api_models = await fetch_available_models(settings)
+    except Exception as e:
+        logger.error(f"Error fetching API models: {str(e)}")
+        api_models = []
+
+    # Include the hardcoded models
+    hardcoded_models = [
+        {"id": "graphrag-local-search:latest", "object": "model", "owned_by": "graphrag"},
+        {"id": "graphrag-global-search:latest", "object": "model", "owned_by": "graphrag"},
+        {"id": "duckduckgo-search:latest", "object": "model", "owned_by": "duckduckgo"},
+        {"id": "full-model:latest", "object": "model", "owned_by": "combined"},
+    ]
+
+    # Combine API models with hardcoded models
+    all_models = [{"id": model, "object": "model", "owned_by": "api"} for model in api_models] + hardcoded_models
+
+    return JSONResponse(content={"data": all_models})
+
+class PromptTuneRequest(BaseModel):
+    root: str = "./{ROOT_DIR}"
+    domain: Optional[str] = None
+    method: str = "random"
+    limit: int = 15
+    language: Optional[str] = None
+    max_tokens: int = 2000
+    chunk_size: int = 200
+    no_entity_types: bool = False
+    output: str = "./{ROOT_DIR}/prompts"
+
+class PromptTuneResponse(BaseModel):
+    status: str
+    message: str
+
+# Global variable to store the latest logs
+prompt_tune_logs = deque(maxlen=100) 
+
+async def run_prompt_tuning(request: PromptTuneRequest):
+    cmd = ["python", "-m", "graphrag.prompt_tune"]
+    
+    # Create a temporary directory for output
+    with tempfile.TemporaryDirectory() as temp_output:
+        # Expand environment variables in the root path
+        root_path = os.path.expandvars(request.root)
+        
+        cmd.extend(["--root", root_path])
+        cmd.extend(["--method", request.method])
+        cmd.extend(["--limit", str(request.limit)])
+        
+        if request.domain:
+            cmd.extend(["--domain", request.domain])
+        
+        if request.language:
+            cmd.extend(["--language", request.language])
+        
+        cmd.extend(["--max-tokens", str(request.max_tokens)])
+        cmd.extend(["--chunk-size", str(request.chunk_size)])
+        
+        if request.no_entity_types:
+            cmd.append("--no-entity-types")
+        
+        # Use the temporary directory for output
+        cmd.extend(["--output", temp_output])
+
+        logger.info(f"Executing prompt tuning command: {' '.join(cmd)}")
+        
+        try:
+            process = await asyncio.create_subprocess_exec(
+                *cmd,
+                stdout=asyncio.subprocess.PIPE,
+                stderr=asyncio.subprocess.PIPE
+            )
+
+            async def read_stream(stream):
+                while True:
+                    line = await stream.readline()
+                    if not line:
+                        break
+                    line = line.decode().strip()
+                    prompt_tune_logs.append(line)
+                    logger.info(line)
+
+            await asyncio.gather(
+                read_stream(process.stdout),
+                read_stream(process.stderr)
+            )
+
+            await process.wait()
+            
+            if process.returncode == 0:
+                logger.info("Prompt tuning completed successfully")
+                
+                # Replace the existing template files with the newly generated prompts
+                dest_dir = os.path.join(ROOT_DIR, "prompts")
+                
+                for filename in os.listdir(temp_output):
+                    if filename.endswith(".txt"):
+                        source_file = os.path.join(temp_output, filename)
+                        dest_file = os.path.join(dest_dir, filename)
+                        shutil.move(source_file, dest_file)
+                        logger.info(f"Replaced {filename} in {dest_file}")
+                
+                return PromptTuneResponse(status="success", message="Prompt tuning completed successfully. Existing prompts have been replaced.")
+            else:
+                logger.error("Prompt tuning failed")
+                return PromptTuneResponse(status="error", message="Prompt tuning failed. Check logs for details.")
+        except Exception as e:
+            logger.error(f"Prompt tuning failed: {str(e)}")
+            return PromptTuneResponse(status="error", message=f"Prompt tuning failed: {str(e)}")
+
+@app.post("/v1/prompt_tune")
+async def prompt_tune(request: PromptTuneRequest, background_tasks: BackgroundTasks):
+    background_tasks.add_task(run_prompt_tuning, request)
+    return {"status": "started", "message": "Prompt tuning process has been started in the background"}
+
+@app.get("/v1/prompt_tune_status")
+async def prompt_tune_status():
+    return {
+        "status": "running" if prompt_tune_logs else "idle",
+        "logs": list(prompt_tune_logs)
+    }
+
+class IndexingRequest(BaseModel):
+    llm_model: str
+    embed_model: str
+    llm_api_base: str
+    embed_api_base: str
+    root: str
+    verbose: bool = False
+    nocache: bool = False
+    resume: Optional[str] = None
+    reporter: str = "rich"
+    emit: List[str] = ["parquet"]
+    custom_args: Optional[str] = None
+    llm_params: Dict[str, Any] = Field(default_factory=dict)
+    embed_params: Dict[str, Any] = Field(default_factory=dict)
+
+# Global variable to store the latest indexing logs
+indexing_logs = deque(maxlen=100)
+
+async def run_indexing(request: IndexingRequest):
+    cmd = ["python", "-m", "graphrag.index"]
+    
+    cmd.extend(["--root", request.root])
+    
+    if request.verbose:
+        cmd.append("--verbose")
+    
+    if request.nocache:
+        cmd.append("--nocache")
+    
+    if request.resume:
+        cmd.extend(["--resume", request.resume])
+    
+    cmd.extend(["--reporter", request.reporter])
+    cmd.extend(["--emit", ",".join(request.emit)])
+    
+    # Set environment variables for LLM and embedding models
+    env: Dict[str, Any] = os.environ.copy()
+    env["GRAPHRAG_LLM_MODEL"] = request.llm_model
+    env["GRAPHRAG_EMBED_MODEL"] = request.embed_model
+    env["GRAPHRAG_LLM_API_BASE"] = LLM_API_BASE
+    env["GRAPHRAG_EMBED_API_BASE"] = EMBEDDINGS_API_BASE
+        
+    # Set environment variables for LLM parameters
+    for key, value in request.llm_params.items():
+        env[f"GRAPHRAG_LLM_{key.upper()}"] = str(value)
+    
+    # Set environment variables for embedding parameters
+    for key, value in request.embed_params.items():
+        env[f"GRAPHRAG_EMBED_{key.upper()}"] = str(value)
+    
+    # Add custom CLI arguments
+    if request.custom_args:
+        cmd.extend(request.custom_args.split())
+
+    logger.info(f"Executing indexing command: {' '.join(cmd)}")
+    logger.info(f"Environment variables: {env}")
+    
+    try:
+        process = await asyncio.create_subprocess_exec(
+            *cmd,
+            stdout=asyncio.subprocess.PIPE,
+            stderr=asyncio.subprocess.PIPE,
+            env=env
+        )
+
+        async def read_stream(stream):
+            while True:
+                line = await stream.readline()
+                if not line:
+                    break
+                line = line.decode().strip()
+                indexing_logs.append(line)
+                logger.info(line)
+
+        await asyncio.gather(
+            read_stream(process.stdout),
+            read_stream(process.stderr)
+        )
+
+        await process.wait()
+        
+        if process.returncode == 0:
+            logger.info("Indexing completed successfully")
+            return {"status": "success", "message": "Indexing completed successfully"}
+        else:
+            logger.error("Indexing failed")
+            return {"status": "error", "message": "Indexing failed. Check logs for details."}
+    except Exception as e:
+        logger.error(f"Indexing failed: {str(e)}")
+        return {"status": "error", "message": f"Indexing failed: {str(e)}"}
+
+
+@app.post("/v1/index")
+async def start_indexing(request: IndexingRequest, background_tasks: BackgroundTasks):
+    background_tasks.add_task(run_indexing, request)
+    return {"status": "started", "message": "Indexing process has been started in the background"}
+
+@app.get("/v1/index_status")
+async def indexing_status():
+    return {
+        "status": "running" if indexing_logs else "idle",
+        "logs": list(indexing_logs)
+    }
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Launch the GraphRAG API server")
+    parser.add_argument("--host", type=str, default="127.0.0.1", help="Host to bind the server to")
+    parser.add_argument("--port", type=int, default=PORT, help="Port to bind the server to")
+    parser.add_argument("--reload", action="store_true", help="Enable auto-reload mode")
+    args = parser.parse_args()
+
+    import uvicorn
+    uvicorn.run(
+        "api:app",
+        host=args.host,
+        port=args.port,
+        reload=args.reload
+    )
diff --git a/app.py b/app.py
new file mode 100644
index 0000000000000000000000000000000000000000..890e4568e215d52bd50d9d4f78231d9c8651ba27
--- /dev/null
+++ b/app.py
@@ -0,0 +1,1786 @@
+import gradio as gr
+from gradio.helpers import Progress
+import asyncio
+import subprocess
+import yaml
+import os
+import networkx as nx
+import plotly.graph_objects as go
+import numpy as np
+import plotly.io as pio
+import lancedb
+import random
+import io
+import shutil
+import logging
+import queue
+import threading
+import time
+from collections import deque
+import re
+import glob
+from datetime import datetime
+import json
+import requests
+import aiohttp
+from openai import OpenAI
+from openai import AsyncOpenAI
+import pyarrow.parquet as pq
+import pandas as pd
+import sys
+import colorsys
+from dotenv import load_dotenv, set_key
+import argparse
+import socket
+import tiktoken
+from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey
+from graphrag.query.indexer_adapters import (
+    read_indexer_covariates,
+    read_indexer_entities,
+    read_indexer_relationships,
+    read_indexer_reports,
+    read_indexer_text_units,
+)
+from graphrag.llm.openai import create_openai_chat_llm
+from graphrag.llm.openai.factories import create_openai_embedding_llm
+from graphrag.query.input.loaders.dfs import store_entity_semantic_embeddings
+from graphrag.query.llm.oai.chat_openai import ChatOpenAI
+from graphrag.llm.openai.openai_configuration import OpenAIConfiguration
+from graphrag.llm.openai.openai_embeddings_llm import OpenAIEmbeddingsLLM
+from graphrag.query.llm.oai.typing import OpenaiApiType
+from graphrag.query.structured_search.local_search.mixed_context import LocalSearchMixedContext
+from graphrag.query.structured_search.local_search.search import LocalSearch
+from graphrag.query.structured_search.global_search.community_context import GlobalCommunityContext
+from graphrag.query.structured_search.global_search.search import GlobalSearch
+from graphrag.vector_stores.lancedb import LanceDBVectorStore
+import textwrap
+
+
+
+# Suppress warnings
+import warnings
+warnings.filterwarnings("ignore", category=UserWarning, module="gradio_client.documentation")
+
+
+load_dotenv('indexing/.env')
+
+# Set default values for API-related environment variables
+os.environ.setdefault("LLM_API_BASE", os.getenv("LLM_API_BASE"))
+os.environ.setdefault("LLM_API_KEY", os.getenv("LLM_API_KEY"))
+os.environ.setdefault("LLM_MODEL", os.getenv("LLM_MODEL"))
+os.environ.setdefault("EMBEDDINGS_API_BASE", os.getenv("EMBEDDINGS_API_BASE"))
+os.environ.setdefault("EMBEDDINGS_API_KEY", os.getenv("EMBEDDINGS_API_KEY"))
+os.environ.setdefault("EMBEDDINGS_MODEL", os.getenv("EMBEDDINGS_MODEL"))
+
+# Add the project root to the Python path
+project_root = os.path.abspath(os.path.join(os.path.dirname(__file__), '..'))
+sys.path.insert(0, project_root)
+
+
+# Set up logging
+log_queue = queue.Queue()
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+
+
+llm = None
+text_embedder = None
+
+class QueueHandler(logging.Handler):
+    def __init__(self, log_queue):
+        super().__init__()
+        self.log_queue = log_queue
+
+    def emit(self, record):
+        self.log_queue.put(self.format(record))
+queue_handler = QueueHandler(log_queue)
+logging.getLogger().addHandler(queue_handler)
+
+
+
+def initialize_models():
+    global llm, text_embedder
+    
+    llm_api_base = os.getenv("LLM_API_BASE")
+    llm_api_key = os.getenv("LLM_API_KEY")
+    embeddings_api_base = os.getenv("EMBEDDINGS_API_BASE")
+    embeddings_api_key = os.getenv("EMBEDDINGS_API_KEY")
+    
+    llm_service_type = os.getenv("LLM_SERVICE_TYPE", "openai_chat").lower()  # Provide a default and lower it
+    embeddings_service_type = os.getenv("EMBEDDINGS_SERVICE_TYPE", "openai").lower()  # Provide a default and lower it
+    
+    llm_model = os.getenv("LLM_MODEL")
+    embeddings_model = os.getenv("EMBEDDINGS_MODEL")
+    
+    logging.info("Fetching models...")
+    models = fetch_models(llm_api_base, llm_api_key, llm_service_type)
+    
+    # Use the same models list for both LLM and embeddings
+    llm_models = models
+    embeddings_models = models
+    
+    # Initialize LLM
+    if llm_service_type == "openai_chat":
+        llm = ChatOpenAI(
+            api_key=llm_api_key,
+            api_base=f"{llm_api_base}/v1",
+            model=llm_model,
+            api_type=OpenaiApiType.OpenAI,
+            max_retries=20,
+        )
+    # Initialize OpenAI client for embeddings
+    openai_client = OpenAI(
+        api_key=embeddings_api_key or "dummy_key",
+        base_url=f"{embeddings_api_base}/v1"
+    )
+
+    # Initialize text embedder using OpenAIEmbeddingsLLM
+    text_embedder = OpenAIEmbeddingsLLM(
+        client=openai_client,
+        configuration={
+            "model": embeddings_model,
+            "api_type": "open_ai",
+            "api_base": embeddings_api_base,
+            "api_key": embeddings_api_key or None,
+            "provider": embeddings_service_type
+        }
+    )
+    
+    return llm_models, embeddings_models, llm_service_type, embeddings_service_type, llm_api_base, embeddings_api_base, text_embedder
+
+def find_latest_output_folder():
+    root_dir = "./indexing/output"
+    folders = [f for f in os.listdir(root_dir) if os.path.isdir(os.path.join(root_dir, f))]
+    
+    if not folders:
+        raise ValueError("No output folders found")
+    
+    # Sort folders by creation time, most recent first
+    sorted_folders = sorted(folders, key=lambda x: os.path.getctime(os.path.join(root_dir, x)), reverse=True)
+    
+    latest_folder = None
+    timestamp = None
+    
+    for folder in sorted_folders:
+        try:
+            # Try to parse the folder name as a timestamp
+            timestamp = datetime.strptime(folder, "%Y%m%d-%H%M%S")
+            latest_folder = folder
+            break
+        except ValueError:
+            # If the folder name is not a valid timestamp, skip it
+            continue
+    
+    if latest_folder is None:
+        raise ValueError("No valid timestamp folders found")
+    
+    latest_path = os.path.join(root_dir, latest_folder)
+    artifacts_path = os.path.join(latest_path, "artifacts")
+    
+    if not os.path.exists(artifacts_path):
+        raise ValueError(f"Artifacts folder not found in {latest_path}")
+    
+    return latest_path, latest_folder
+
+def initialize_data():
+    global entity_df, relationship_df, text_unit_df, report_df, covariate_df
+    
+    tables = {
+        "entity_df": "create_final_nodes",
+        "relationship_df": "create_final_edges",
+        "text_unit_df": "create_final_text_units",
+        "report_df": "create_final_reports",
+        "covariate_df": "create_final_covariates"
+    }
+    
+    timestamp = None  # Initialize timestamp to None
+    
+    try:
+        latest_output_folder, timestamp = find_latest_output_folder()
+        artifacts_folder = os.path.join(latest_output_folder, "artifacts")
+        
+        for df_name, file_prefix in tables.items():
+            file_pattern = os.path.join(artifacts_folder, f"{file_prefix}*.parquet")
+            matching_files = glob.glob(file_pattern)
+            
+            if matching_files:
+                latest_file = max(matching_files, key=os.path.getctime)
+                df = pd.read_parquet(latest_file)
+                globals()[df_name] = df
+                logging.info(f"Successfully loaded {df_name} from {latest_file}")
+            else:
+                logging.warning(f"No matching file found for {df_name} in {artifacts_folder}. Initializing as an empty DataFrame.")
+                globals()[df_name] = pd.DataFrame()
+    
+    except Exception as e:
+        logging.error(f"Error initializing data: {str(e)}")
+        for df_name in tables.keys():
+            globals()[df_name] = pd.DataFrame()
+
+    return timestamp
+
+# Call initialize_data and store the timestamp
+current_timestamp = initialize_data()
+
+
+def find_available_port(start_port, max_attempts=100):
+    for port in range(start_port, start_port + max_attempts):
+        with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
+            try:
+                s.bind(('', port))
+                return port
+            except OSError:
+                continue
+    raise IOError("No free ports found")
+
+def start_api_server(port):
+    subprocess.Popen([sys.executable, "api_server.py", "--port", str(port)])
+
+def wait_for_api_server(port):
+    max_retries = 30
+    for _ in range(max_retries):
+        try:
+            response = requests.get(f"http://localhost:{port}")
+            if response.status_code == 200:
+                print(f"API server is up and running on port {port}")
+                return
+            else:
+                print(f"Unexpected response from API server: {response.status_code}")
+        except requests.ConnectionError:
+            time.sleep(1)
+    print("Failed to connect to API server")
+
+def load_settings():
+    try:
+        with open("indexing/settings.yaml", "r") as f:
+            return yaml.safe_load(f) or {}
+    except FileNotFoundError:
+        return {}
+
+def update_setting(key, value):
+    settings = load_settings()
+    try:
+        settings[key] = json.loads(value)
+    except json.JSONDecodeError:
+        settings[key] = value
+    
+    try:
+        with open("indexing/settings.yaml", "w") as f:
+            yaml.dump(settings, f, default_flow_style=False)
+        return f"Setting '{key}' updated successfully"
+    except Exception as e:
+        return f"Error updating setting '{key}': {str(e)}"
+
+def create_setting_component(key, value):
+    with gr.Accordion(key, open=False):
+        if isinstance(value, (dict, list)):
+            value_str = json.dumps(value, indent=2)
+            lines = value_str.count('\n') + 1
+        else:
+            value_str = str(value)
+            lines = 1
+        
+        text_area = gr.TextArea(value=value_str, label="Value", lines=lines, max_lines=20)
+        update_btn = gr.Button("Update", variant="primary")
+        status = gr.Textbox(label="Status", visible=False)
+        
+        update_btn.click(
+            fn=update_setting,
+            inputs=[gr.Textbox(value=key, visible=False), text_area],
+            outputs=[status]
+        ).then(
+            fn=lambda: gr.update(visible=True),
+            outputs=[status]
+        )
+
+
+
+def get_openai_client():
+    return OpenAI(
+        base_url=os.getenv("LLM_API_BASE"),
+        api_key=os.getenv("LLM_API_KEY"),
+        llm_model = os.getenv("LLM_MODEL")
+    )
+
+async def chat_with_openai(messages, model, temperature, max_tokens, api_base):
+    client = AsyncOpenAI(
+        base_url=api_base,
+        api_key=os.getenv("LLM_API_KEY")
+    )
+
+    try:
+        response = await client.chat.completions.create(
+            model=model,
+            messages=messages,
+            temperature=temperature,
+            max_tokens=max_tokens
+        )
+        return response.choices[0].message.content
+    except Exception as e:
+        logging.error(f"Error in chat_with_openai: {str(e)}")
+        return f"An error occurred: {str(e)}"
+        return f"Error: {str(e)}"
+
+def chat_with_llm(query, history, system_message, temperature, max_tokens, model, api_base):
+    try:
+        messages = [{"role": "system", "content": system_message}]
+        for item in history:
+            if isinstance(item, tuple) and len(item) == 2:
+                human, ai = item
+                messages.append({"role": "user", "content": human})
+                messages.append({"role": "assistant", "content": ai})
+        messages.append({"role": "user", "content": query})
+
+        logging.info(f"Sending chat request to {api_base} with model {model}")
+        client = OpenAI(base_url=api_base, api_key=os.getenv("LLM_API_KEY", "dummy-key"))
+        response = client.chat.completions.create(
+            model=model,
+            messages=messages,
+            temperature=temperature,
+            max_tokens=max_tokens
+        )
+        return response.choices[0].message.content
+    except Exception as e:
+        logging.error(f"Error in chat_with_llm: {str(e)}")
+        logging.error(f"Attempted with model: {model}, api_base: {api_base}")
+        raise RuntimeError(f"Chat request failed: {str(e)}")
+
+def run_graphrag_query(cli_args):
+    try:
+        command = ' '.join(cli_args)
+        logging.info(f"Executing command: {command}")
+        result = subprocess.run(cli_args, capture_output=True, text=True, check=True)
+        return result.stdout.strip()
+    except subprocess.CalledProcessError as e:
+        logging.error(f"Error running GraphRAG query: {e}")
+        logging.error(f"Command output (stdout): {e.stdout}")
+        logging.error(f"Command output (stderr): {e.stderr}")
+        raise RuntimeError(f"GraphRAG query failed: {e.stderr}")
+
+def parse_query_response(response: str):
+    try:
+        # Split the response into metadata and content
+        parts = response.split("\n\n", 1)
+        if len(parts) < 2:
+            return response  # Return original response if it doesn't contain metadata
+
+        metadata_str, content = parts
+        metadata = json.loads(metadata_str)
+        
+        # Extract relevant information from metadata
+        query_type = metadata.get("query_type", "Unknown")
+        execution_time = metadata.get("execution_time", "N/A")
+        tokens_used = metadata.get("tokens_used", "N/A")
+        
+        # Remove unwanted lines from the content
+        content_lines = content.split('\n')
+        filtered_content = '\n'.join([line for line in content_lines if not line.startswith("INFO:") and not line.startswith("creating llm client")])
+        
+        # Format the parsed response
+        parsed_response = f"""
+Query Type: {query_type}
+Execution Time: {execution_time} seconds
+Tokens Used: {tokens_used}
+
+{filtered_content.strip()}
+"""
+        return parsed_response
+    except Exception as e:
+        print(f"Error parsing query response: {str(e)}")
+        return response 
+
+def send_message(query_type, query, history, system_message, temperature, max_tokens, preset, community_level, response_type, custom_cli_args, selected_folder):
+    try:
+        if query_type in ["global", "local"]:
+            cli_args = construct_cli_args(query_type, preset, community_level, response_type, custom_cli_args, query, selected_folder)
+            logging.info(f"Executing {query_type} search with command: {' '.join(cli_args)}")
+            result = run_graphrag_query(cli_args)
+            parsed_result = parse_query_response(result)
+            logging.info(f"Parsed query result: {parsed_result}")
+        else:  # Direct chat
+            llm_model = os.getenv("LLM_MODEL")
+            api_base = os.getenv("LLM_API_BASE")
+            logging.info(f"Executing direct chat with model: {llm_model}")
+            
+            try:
+                result = chat_with_llm(query, history, system_message, temperature, max_tokens, llm_model, api_base)
+                parsed_result = result  # No parsing needed for direct chat
+                logging.info(f"Direct chat result: {parsed_result[:100]}...")  # Log first 100 chars of result
+            except Exception as chat_error:
+                logging.error(f"Error in chat_with_llm: {str(chat_error)}")
+                raise RuntimeError(f"Direct chat failed: {str(chat_error)}")
+        
+        history.append((query, parsed_result))
+    except Exception as e:
+        error_message = f"An error occurred: {str(e)}"
+        logging.error(error_message)
+        logging.exception("Exception details:")
+        history.append((query, error_message))
+    
+    return history, gr.update(value=""), update_logs()
+
+def construct_cli_args(query_type, preset, community_level, response_type, custom_cli_args, query, selected_folder):
+    if not selected_folder:
+        raise ValueError("No folder selected. Please select an output folder before querying.")
+
+    artifacts_folder = os.path.join("./indexing/output", selected_folder, "artifacts")
+    if not os.path.exists(artifacts_folder):
+        raise ValueError(f"Artifacts folder not found in {artifacts_folder}")
+
+    base_args = [
+        "python", "-m", "graphrag.query",
+        "--data", artifacts_folder,
+        "--method", query_type,
+    ]
+
+    # Apply preset configurations
+    if preset.startswith("Default"):
+        base_args.extend(["--community_level", "2", "--response_type", "Multiple Paragraphs"])
+    elif preset.startswith("Detailed"):
+        base_args.extend(["--community_level", "4", "--response_type", "Multi-Page Report"])
+    elif preset.startswith("Quick"):
+        base_args.extend(["--community_level", "1", "--response_type", "Single Paragraph"])
+    elif preset.startswith("Bullet"):
+        base_args.extend(["--community_level", "2", "--response_type", "List of 3-7 Points"])
+    elif preset.startswith("Comprehensive"):
+        base_args.extend(["--community_level", "5", "--response_type", "Multi-Page Report"])
+    elif preset.startswith("High-Level"):
+        base_args.extend(["--community_level", "1", "--response_type", "Single Page"])
+    elif preset.startswith("Focused"):
+        base_args.extend(["--community_level", "3", "--response_type", "Multiple Paragraphs"])
+    elif preset == "Custom Query":
+        base_args.extend([
+            "--community_level", str(community_level),
+            "--response_type", f'"{response_type}"',
+        ])
+        if custom_cli_args:
+            base_args.extend(custom_cli_args.split())
+
+    # Add the query at the end
+    base_args.append(query)
+    
+    return base_args
+
+
+
+
+
+
+def upload_file(file):
+    if file is not None:
+        input_dir = os.path.join("indexing", "input")
+        os.makedirs(input_dir, exist_ok=True)
+        
+        # Get the original filename from the uploaded file
+        original_filename = file.name
+        
+        # Create the destination path
+        destination_path = os.path.join(input_dir, os.path.basename(original_filename))
+        
+        # Move the uploaded file to the destination path
+        shutil.move(file.name, destination_path)
+        
+        logging.info(f"File uploaded and moved to: {destination_path}")
+        status = f"File uploaded: {os.path.basename(original_filename)}"
+    else:
+        status = "No file uploaded"
+
+    # Get the updated file list
+    updated_file_list = [f["path"] for f in list_input_files()]
+    
+    return status, gr.update(choices=updated_file_list), update_logs()
+
+def list_input_files():
+    input_dir = os.path.join("indexing", "input")
+    files = []
+    if os.path.exists(input_dir):
+        files = os.listdir(input_dir)
+    return [{"name": f, "path": os.path.join(input_dir, f)} for f in files]
+
+def delete_file(file_path):
+    try:
+        os.remove(file_path)
+        logging.info(f"File deleted: {file_path}")
+        status = f"File deleted: {os.path.basename(file_path)}"
+    except Exception as e:
+        logging.error(f"Error deleting file: {str(e)}")
+        status = f"Error deleting file: {str(e)}"
+
+    # Get the updated file list
+    updated_file_list = [f["path"] for f in list_input_files()]
+    
+    return status, gr.update(choices=updated_file_list), update_logs()
+
+def read_file_content(file_path):
+    try:
+        if file_path.endswith('.parquet'):
+            df = pd.read_parquet(file_path)
+            
+            # Get basic information about the DataFrame
+            info = f"Parquet File: {os.path.basename(file_path)}\n"
+            info += f"Rows: {len(df)}, Columns: {len(df.columns)}\n\n"
+            info += "Column Names:\n" + "\n".join(df.columns) + "\n\n"
+            
+            # Display first few rows
+            info += "First 5 rows:\n"
+            info += df.head().to_string() + "\n\n"
+            
+            # Display basic statistics
+            info += "Basic Statistics:\n"
+            info += df.describe().to_string()
+            
+            return info
+        else:
+            with open(file_path, 'r', encoding='utf-8', errors='replace') as file:
+                content = file.read()
+        return content
+    except Exception as e:
+        logging.error(f"Error reading file: {str(e)}")
+        return f"Error reading file: {str(e)}"
+
+def save_file_content(file_path, content):
+    try:
+        with open(file_path, 'w') as file:
+            file.write(content)
+        logging.info(f"File saved: {file_path}")
+        status = f"File saved: {os.path.basename(file_path)}"
+    except Exception as e:
+        logging.error(f"Error saving file: {str(e)}")
+        status = f"Error saving file: {str(e)}"
+    return status, update_logs()
+
+def manage_data():
+    db = lancedb.connect("./indexing/lancedb")
+    tables = db.table_names()
+    table_info = ""
+    if tables:
+        table = db[tables[0]]
+        table_info = f"Table: {tables[0]}\nSchema: {table.schema}"
+    
+    input_files = list_input_files()
+    
+    return {
+        "database_info": f"Tables: {', '.join(tables)}\n\n{table_info}",
+        "input_files": input_files
+    }
+
+
+def find_latest_graph_file(root_dir):
+    pattern = os.path.join(root_dir, "output", "*", "artifacts", "*.graphml")
+    graph_files = glob.glob(pattern)
+    if not graph_files:
+        # If no files found, try excluding .DS_Store
+        output_dir = os.path.join(root_dir, "output")
+        run_dirs = [d for d in os.listdir(output_dir) if os.path.isdir(os.path.join(output_dir, d)) and d != ".DS_Store"]
+        if run_dirs:
+            latest_run = max(run_dirs)
+            pattern = os.path.join(root_dir, "output", latest_run, "artifacts", "*.graphml")
+            graph_files = glob.glob(pattern)
+    
+    if not graph_files:
+        return None
+    
+    # Sort files by modification time, most recent first
+    latest_file = max(graph_files, key=os.path.getmtime)
+    return latest_file
+
+def update_visualization(folder_name, file_name, layout_type, node_size, edge_width, node_color_attribute, color_scheme, show_labels, label_size):
+    root_dir = "./indexing"
+    if not folder_name or not file_name:
+        return None, "Please select a folder and a GraphML file."
+    file_name = file_name.split("] ")[1] if "]" in file_name else file_name  # Remove file type prefix
+    graph_path = os.path.join(root_dir, "output", folder_name, "artifacts", file_name)
+    if not graph_path.endswith('.graphml'):
+        return None, "Please select a GraphML file for visualization."
+    try:
+        # Load the GraphML file
+        graph = nx.read_graphml(graph_path)
+
+        # Create layout based on user selection
+        if layout_type == "3D Spring":
+            pos = nx.spring_layout(graph, dim=3, seed=42, k=0.5)
+        elif layout_type == "2D Spring":
+            pos = nx.spring_layout(graph, dim=2, seed=42, k=0.5)
+        else:  # Circular
+            pos = nx.circular_layout(graph)
+
+        # Extract node positions
+        if layout_type == "3D Spring":
+            x_nodes = [pos[node][0] for node in graph.nodes()]
+            y_nodes = [pos[node][1] for node in graph.nodes()]
+            z_nodes = [pos[node][2] for node in graph.nodes()]
+        else:
+            x_nodes = [pos[node][0] for node in graph.nodes()]
+            y_nodes = [pos[node][1] for node in graph.nodes()]
+            z_nodes = [0] * len(graph.nodes())  # Set all z-coordinates to 0 for 2D layouts
+
+        # Extract edge positions
+        x_edges, y_edges, z_edges = [], [], []
+        for edge in graph.edges():
+            x_edges.extend([pos[edge[0]][0], pos[edge[1]][0], None])
+            y_edges.extend([pos[edge[0]][1], pos[edge[1]][1], None])
+            if layout_type == "3D Spring":
+                z_edges.extend([pos[edge[0]][2], pos[edge[1]][2], None])
+            else:
+                z_edges.extend([0, 0, None])
+
+        # Generate node colors based on user selection
+        if node_color_attribute == "Degree":
+            node_colors = [graph.degree(node) for node in graph.nodes()]
+        else:  # Random
+            node_colors = [random.random() for _ in graph.nodes()]
+        node_colors = np.array(node_colors)
+        node_colors = (node_colors - node_colors.min()) / (node_colors.max() - node_colors.min())
+
+        # Create the trace for edges
+        edge_trace = go.Scatter3d(
+            x=x_edges, y=y_edges, z=z_edges,
+            mode='lines',
+            line=dict(color='lightgray', width=edge_width),
+            hoverinfo='none'
+        )
+
+        # Create the trace for nodes
+        node_trace = go.Scatter3d(
+            x=x_nodes, y=y_nodes, z=z_nodes,
+            mode='markers+text' if show_labels else 'markers',
+            marker=dict(
+                size=node_size,
+                color=node_colors,
+                colorscale=color_scheme,
+                colorbar=dict(
+                    title='Node Degree' if node_color_attribute == "Degree" else "Random Value",
+                    thickness=10,
+                    x=1.1,
+                    tickvals=[0, 1],
+                    ticktext=['Low', 'High']
+                ),
+                line=dict(width=1)
+            ),
+            text=[node for node in graph.nodes()],
+            textposition="top center",
+            textfont=dict(size=label_size, color='black'),
+            hoverinfo='text'
+        )
+
+        # Create the plot
+        fig = go.Figure(data=[edge_trace, node_trace])
+
+        # Update layout for better visualization
+        fig.update_layout(
+            title=f'{layout_type} Graph Visualization: {os.path.basename(graph_path)}',
+            showlegend=False,
+            scene=dict(
+                xaxis=dict(showbackground=False, showticklabels=False, title=''),
+                yaxis=dict(showbackground=False, showticklabels=False, title=''),
+                zaxis=dict(showbackground=False, showticklabels=False, title='')
+            ),
+            margin=dict(l=0, r=0, b=0, t=40),
+            annotations=[
+                dict(
+                    showarrow=False,
+                    text=f"Interactive {layout_type} visualization of GraphML data",
+                    xref="paper",
+                    yref="paper",
+                    x=0,
+                    y=0
+                )
+            ],
+            autosize=True
+        )
+
+        fig.update_layout(autosize=True)
+        fig.update_layout(height=600)  # Set a fixed height
+        return fig, f"Graph visualization generated successfully. Using file: {graph_path}"
+    except Exception as e:
+        return go.Figure(), f"Error visualizing graph: {str(e)}"
+
+
+
+
+
+def update_logs():
+    logs = []
+    while not log_queue.empty():
+        logs.append(log_queue.get())
+    return "\n".join(logs)
+
+
+
+def fetch_models(base_url, api_key, service_type):
+    try:
+        if service_type.lower() == "ollama":
+            response = requests.get(f"{base_url}/tags", timeout=10)
+        else:  # OpenAI Compatible
+            headers = {
+                "Authorization": f"Bearer {api_key}",
+                "Content-Type": "application/json"
+            }
+            response = requests.get(f"{base_url}/models", headers=headers, timeout=10)
+
+        logging.info(f"Raw API response: {response.text}")
+        
+        if response.status_code == 200:
+            data = response.json()
+            if service_type.lower() == "ollama":
+                models = [model.get('name', '') for model in data.get('models', data) if isinstance(model, dict)]
+            else:  # OpenAI Compatible
+                models = [model.get('id', '') for model in data.get('data', []) if isinstance(model, dict)]
+            
+            models = [model for model in models if model]  # Remove empty strings
+            
+            if not models:
+                logging.warning(f"No models found in {service_type} API response")
+                return ["No models available"]
+            
+            logging.info(f"Successfully fetched {service_type} models: {models}")
+            return models
+        else:
+            logging.error(f"Error fetching {service_type} models. Status code: {response.status_code}, Response: {response.text}")
+            return ["Error fetching models"]
+    except requests.RequestException as e:
+        logging.error(f"Exception while fetching {service_type} models: {str(e)}")
+        return ["Error: Connection failed"]
+    except Exception as e:
+        logging.error(f"Unexpected error in fetch_models: {str(e)}")
+        return ["Error: Unexpected issue"]
+
+def update_model_choices(base_url, api_key, service_type, settings_key):
+    models = fetch_models(base_url, api_key, service_type)
+    
+    if not models:
+        logging.warning(f"No models fetched for {service_type}.")
+
+    # Get the current model from settings
+    current_model = settings.get(settings_key, {}).get('llm', {}).get('model')
+    
+    # If the current model is not in the list, add it
+    if current_model and current_model not in models:
+        models.append(current_model)
+    
+    return gr.update(choices=models, value=current_model if current_model in models else (models[0] if models else None))
+
+def update_llm_model_choices(base_url, api_key, service_type):
+    return update_model_choices(base_url, api_key, service_type, 'llm')
+
+def update_embeddings_model_choices(base_url, api_key, service_type):
+    return update_model_choices(base_url, api_key, service_type, 'embeddings')
+
+
+
+
+def update_llm_settings(llm_model, embeddings_model, context_window, system_message, temperature, max_tokens, 
+                        llm_api_base, llm_api_key, 
+                        embeddings_api_base, embeddings_api_key, embeddings_service_type):
+    try:
+        # Update settings.yaml
+        settings = load_settings()
+        settings['llm'].update({
+            "type": "openai",  # Always set to "openai" since we removed the radio button
+            "model": llm_model,
+            "api_base": llm_api_base,
+            "api_key": "${GRAPHRAG_API_KEY}",
+            "temperature": temperature,
+            "max_tokens": max_tokens,
+            "provider": "openai_chat"  # Always set to "openai_chat"
+        })
+        settings['embeddings']['llm'].update({
+            "type": "openai_embedding",  # Always use OpenAIEmbeddingsLLM
+            "model": embeddings_model,
+            "api_base": embeddings_api_base,
+            "api_key": "${GRAPHRAG_API_KEY}",
+            "provider": embeddings_service_type
+        })
+        
+        with open("indexing/settings.yaml", 'w') as f:
+            yaml.dump(settings, f, default_flow_style=False)
+        
+        # Update .env file
+        update_env_file("LLM_API_BASE", llm_api_base)
+        update_env_file("LLM_API_KEY", llm_api_key)
+        update_env_file("LLM_MODEL", llm_model)
+        update_env_file("EMBEDDINGS_API_BASE", embeddings_api_base)
+        update_env_file("EMBEDDINGS_API_KEY", embeddings_api_key)
+        update_env_file("EMBEDDINGS_MODEL", embeddings_model)
+        update_env_file("CONTEXT_WINDOW", str(context_window))
+        update_env_file("SYSTEM_MESSAGE", system_message)
+        update_env_file("TEMPERATURE", str(temperature))
+        update_env_file("MAX_TOKENS", str(max_tokens))
+        update_env_file("LLM_SERVICE_TYPE", "openai_chat")
+        update_env_file("EMBEDDINGS_SERVICE_TYPE", embeddings_service_type)
+        
+        # Reload environment variables
+        load_dotenv(override=True)
+        
+        return "LLM and embeddings settings updated successfully in both settings.yaml and .env files."
+    except Exception as e:
+        return f"Error updating LLM and embeddings settings: {str(e)}"
+
+def update_env_file(key, value):
+    env_path = 'indexing/.env'
+    with open(env_path, 'r') as file:
+        lines = file.readlines()
+    
+    updated = False
+    for i, line in enumerate(lines):
+        if line.startswith(f"{key}="):
+            lines[i] = f"{key}={value}\n"
+            updated = True
+            break
+    
+    if not updated:
+        lines.append(f"{key}={value}\n")
+    
+    with open(env_path, 'w') as file:
+        file.writelines(lines)
+
+custom_css = """
+html, body {
+    margin: 0;
+    padding: 0;
+    height: 100vh;
+    overflow: hidden;
+}
+
+.gradio-container {
+    margin: 0 !important;
+    padding: 0 !important;
+    width: 100vw !important;
+    max-width: 100vw !important;
+    height: 100vh !important;
+    max-height: 100vh !important;
+    overflow: auto;
+    display: flex;
+    flex-direction: column;
+}
+
+#main-container {
+    flex: 1;
+    display: flex;
+    overflow: hidden;
+}
+
+#left-column, #right-column {
+    height: 100%;
+    overflow-y: auto;
+    padding: 10px;
+}
+
+#left-column {
+    flex: 1;
+}
+
+#right-column {
+    flex: 2;
+    display: flex;
+    flex-direction: column;
+}
+
+#chat-container {
+    flex: 0 0 auto;  /* Don't allow this to grow */
+    height: 100%;
+    display: flex;
+    flex-direction: column;
+    overflow: hidden;
+    border: 1px solid var(--color-accent);
+    border-radius: 8px;
+    padding: 10px;
+    overflow-y: auto;
+}
+
+#chatbot {
+    overflow-y: hidden;
+    height: 100%;
+}
+
+#chat-input-row {
+    margin-top: 10px;
+}
+
+#visualization-plot {
+    width: 100%;
+    aspect-ratio: 1 / 1;
+    max-height: 600px;  /* Adjust this value as needed */
+}
+
+#vis-controls-row {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    margin-top: 10px;
+}
+
+#vis-controls-row > * {
+    flex: 1;
+    margin: 0 5px;
+}
+
+#vis-status {
+    margin-top: 10px;
+}
+
+/* Chat input styling */
+#chat-input-row {
+    display: flex;
+    flex-direction: column;
+}
+
+#chat-input-row > div {
+    width: 100% !important;
+}
+
+#chat-input-row input[type="text"] {
+    width: 100% !important;
+}
+
+/* Adjust padding for all containers */
+.gr-box, .gr-form, .gr-panel {
+    padding: 10px !important;
+}
+
+/* Ensure all textboxes and textareas have full height */
+.gr-textbox, .gr-textarea {
+    height: auto !important;
+    min-height: 100px !important;
+}
+
+/* Ensure all dropdowns have full width */
+.gr-dropdown {
+    width: 100% !important;
+}
+
+:root {
+    --color-background: #2C3639;
+    --color-foreground: #3F4E4F;
+    --color-accent: #A27B5C;
+    --color-text: #DCD7C9;
+}
+
+body, .gradio-container {
+    background-color: var(--color-background);
+    color: var(--color-text);
+}
+
+.gr-button {
+    background-color: var(--color-accent);
+    color: var(--color-text);
+}
+
+.gr-input, .gr-textarea, .gr-dropdown {
+    background-color: var(--color-foreground);
+    color: var(--color-text);
+    border: 1px solid var(--color-accent);
+}
+
+.gr-panel {
+    background-color: var(--color-foreground);
+    border: 1px solid var(--color-accent);
+}
+
+.gr-box {
+    border-radius: 8px;
+    margin-bottom: 10px;
+    background-color: var(--color-foreground);
+}
+
+.gr-padded {
+    padding: 10px;
+}
+
+.gr-form {
+    background-color: var(--color-foreground);
+}
+
+.gr-input-label, .gr-radio-label {
+    color: var(--color-text);
+}
+
+.gr-checkbox-label {
+    color: var(--color-text);
+}
+
+.gr-markdown {
+    color: var(--color-text);
+}
+
+.gr-accordion {
+    background-color: var(--color-foreground);
+    border: 1px solid var(--color-accent);
+}
+
+.gr-accordion-header {
+    background-color: var(--color-accent);
+    color: var(--color-text);
+}
+
+#visualization-container {
+    display: flex;
+    flex-direction: column;
+    border: 2px solid var(--color-accent);
+    border-radius: 8px;
+    margin-top: 20px;
+    padding: 10px;
+    background-color: var(--color-foreground);
+    height: calc(100vh - 300px);  /* Adjust this value as needed */
+}
+
+#visualization-plot {
+    width: 100%;
+    height: 100%;
+}
+
+#vis-controls-row {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    margin-top: 10px;
+}
+
+#vis-controls-row > * {
+    flex: 1;
+    margin: 0 5px;
+}
+
+#vis-status {
+    margin-top: 10px;
+}
+
+#log-container {
+    background-color: var(--color-foreground);
+    border: 1px solid var(--color-accent);
+    border-radius: 8px;
+    padding: 10px;
+    margin-top: 20px;
+    max-height: auto;
+    overflow-y: auto;
+}
+
+.setting-accordion .label-wrap {
+    cursor: pointer;
+}
+
+.setting-accordion .icon {
+    transition: transform 0.3s ease;
+}
+
+.setting-accordion[open] .icon {
+    transform: rotate(90deg);
+}
+
+.gr-form.gr-box {
+    border: none !important;
+    background: none !important;
+}
+
+.model-params {
+    border-top: 1px solid var(--color-accent);
+    margin-top: 10px;
+    padding-top: 10px;
+}
+"""
+
+def list_output_files(root_dir):
+    output_dir = os.path.join(root_dir, "output")
+    files = []
+    for root, _, filenames in os.walk(output_dir):
+        for filename in filenames:
+            files.append(os.path.join(root, filename))
+    return files
+
+def update_file_list():
+    files = list_input_files()
+    return gr.update(choices=[f["path"] for f in files])
+
+def update_file_content(file_path):
+    if not file_path:
+        return ""
+    try:
+        with open(file_path, 'r', encoding='utf-8') as file:
+            content = file.read()
+        return content
+    except Exception as e:
+        logging.error(f"Error reading file: {str(e)}")
+        return f"Error reading file: {str(e)}"
+
+def list_output_folders(root_dir):
+    output_dir = os.path.join(root_dir, "output")
+    folders = [f for f in os.listdir(output_dir) if os.path.isdir(os.path.join(output_dir, f))]
+    return sorted(folders, reverse=True)
+
+def list_folder_contents(folder_path):
+    contents = []
+    for item in os.listdir(folder_path):
+        item_path = os.path.join(folder_path, item)
+        if os.path.isdir(item_path):
+            contents.append(f"[DIR] {item}")
+        else:
+            _, ext = os.path.splitext(item)
+            contents.append(f"[{ext[1:].upper()}] {item}")
+    return contents
+
+def update_output_folder_list():
+    root_dir = "./"
+    folders = list_output_folders(root_dir)
+    return gr.update(choices=folders, value=folders[0] if folders else None)
+
+def update_folder_content_list(folder_name):
+    root_dir = "./"
+    if not folder_name:
+        return gr.update(choices=[])
+    contents = list_folder_contents(os.path.join(root_dir, "output", folder_name, "artifacts"))
+    return gr.update(choices=contents)
+
+def handle_content_selection(folder_name, selected_item):
+    root_dir = "./"
+    if isinstance(selected_item, list) and selected_item:
+        selected_item = selected_item[0]  # Take the first item if it's a list
+    
+    if isinstance(selected_item, str) and selected_item.startswith("[DIR]"):
+        dir_name = selected_item[6:]  # Remove "[DIR] " prefix
+        sub_contents = list_folder_contents(os.path.join(root_dir, "output", folder_name, dir_name))
+        return gr.update(choices=sub_contents), "", ""
+    elif isinstance(selected_item, str):
+        file_name = selected_item.split("] ")[1] if "]" in selected_item else selected_item  # Remove file type prefix if present
+        file_path = os.path.join(root_dir, "output", folder_name, "artifacts", file_name)
+        file_size = os.path.getsize(file_path)
+        file_type = os.path.splitext(file_name)[1]
+        file_info = f"File: {file_name}\nSize: {file_size} bytes\nType: {file_type}"
+        content = read_file_content(file_path)
+        return gr.update(), file_info, content
+    else:
+        return gr.update(), "", ""
+
+def initialize_selected_folder(folder_name):
+    root_dir = "./"
+    if not folder_name:
+        return "Please select a folder first.", gr.update(choices=[])
+    folder_path = os.path.join(root_dir, "output", folder_name, "artifacts")
+    if not os.path.exists(folder_path):
+        return f"Artifacts folder not found in '{folder_name}'.", gr.update(choices=[])
+    contents = list_folder_contents(folder_path)
+    return f"Folder '{folder_name}/artifacts' initialized with {len(contents)} items.", gr.update(choices=contents)
+
+
+settings = load_settings()
+default_model = settings['llm']['model']
+cli_args = gr.State({})
+stop_indexing = threading.Event()
+indexing_thread = None
+
+def start_indexing(*args):
+    global indexing_thread, stop_indexing
+    stop_indexing = threading.Event()  # Reset the stop_indexing event
+    indexing_thread = threading.Thread(target=run_indexing, args=args)
+    indexing_thread.start()
+    return gr.update(interactive=False), gr.update(interactive=True), gr.update(interactive=False)
+
+def stop_indexing_process():
+    global indexing_thread
+    logging.info("Stop indexing requested")
+    stop_indexing.set()
+    if indexing_thread and indexing_thread.is_alive():
+        logging.info("Waiting for indexing thread to finish")
+        indexing_thread.join(timeout=10)
+        logging.info("Indexing thread finished" if not indexing_thread.is_alive() else "Indexing thread did not finish within timeout")
+    indexing_thread = None  # Reset the thread
+    return gr.update(interactive=True), gr.update(interactive=False), gr.update(interactive=True)
+
+def refresh_indexing():
+    global indexing_thread, stop_indexing
+    if indexing_thread and indexing_thread.is_alive():
+        logging.info("Cannot refresh: Indexing is still running")
+        return gr.update(interactive=False), gr.update(interactive=True), gr.update(interactive=False), "Cannot refresh: Indexing is still running"
+    else:
+        stop_indexing = threading.Event()  # Reset the stop_indexing event
+        indexing_thread = None  # Reset the thread
+        return gr.update(interactive=True), gr.update(interactive=False), gr.update(interactive=True), "Indexing process refreshed. You can start indexing again."
+
+
+
+def run_indexing(root_dir, config_file, verbose, nocache, resume, reporter, emit_formats, custom_args):
+    cmd = ["python", "-m", "graphrag.index", "--root", "./indexing"]
+    
+    # Add custom CLI arguments
+    if custom_args:
+        cmd.extend(custom_args.split())
+    
+    logging.info(f"Executing command: {' '.join(cmd)}")
+    
+    process = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT, text=True, bufsize=1, encoding='utf-8', universal_newlines=True)
+
+    
+    output = []
+    progress_value = 0
+    iterations_completed = 0
+    
+    while True:
+        if stop_indexing.is_set():
+            process.terminate()
+            process.wait(timeout=5)
+            if process.poll() is None:
+                process.kill()
+            return ("\n".join(output + ["Indexing stopped by user."]), 
+                    "Indexing stopped.", 
+                    100, 
+                    gr.update(interactive=True), 
+                    gr.update(interactive=False),
+                    gr.update(interactive=True),
+                    str(iterations_completed))
+
+        try:
+            line = process.stdout.readline()
+            if not line and process.poll() is not None:
+                break
+
+            if line:
+                line = line.strip()
+                output.append(line)
+                
+                if "Processing file" in line:
+                    progress_value += 1
+                    iterations_completed += 1
+                elif "Indexing completed" in line:
+                    progress_value = 100
+                elif "ERROR" in line:
+                    line = f"🚨 ERROR: {line}"
+                
+                yield ("\n".join(output), 
+                       line,
+                       progress_value, 
+                       gr.update(interactive=False), 
+                       gr.update(interactive=True),
+                       gr.update(interactive=False),
+                       str(iterations_completed))
+        except Exception as e:
+            logging.error(f"Error during indexing: {str(e)}")
+            return ("\n".join(output + [f"Error: {str(e)}"]), 
+                    "Error occurred during indexing.", 
+                    100, 
+                    gr.update(interactive=True), 
+                    gr.update(interactive=False),
+                    gr.update(interactive=True),
+                    str(iterations_completed))
+    
+    if process.returncode != 0 and not stop_indexing.is_set():
+        final_output = "\n".join(output + [f"Error: Process exited with return code {process.returncode}"])
+        final_progress = "Indexing failed. Check output for details."
+    else:
+        final_output = "\n".join(output)
+        final_progress = "Indexing completed successfully!"
+    
+    return (final_output, 
+            final_progress, 
+            100, 
+            gr.update(interactive=True), 
+            gr.update(interactive=False),
+            gr.update(interactive=True),
+            str(iterations_completed))
+
+global_vector_store_wrapper = None
+
+def create_gradio_interface():
+    global global_vector_store_wrapper
+    llm_models, embeddings_models, llm_service_type, embeddings_service_type, llm_api_base, embeddings_api_base, text_embedder = initialize_models()
+    settings = load_settings()
+
+
+    log_output = gr.TextArea(label="Logs", elem_id="log-output", interactive=False, visible=False)
+
+    with gr.Blocks(css=custom_css, theme=gr.themes.Base()) as demo:
+        gr.Markdown("# GraphRAG Local UI", elem_id="title")
+        
+        with gr.Row(elem_id="main-container"):
+            with gr.Column(scale=1, elem_id="left-column"):
+                with gr.Tabs():
+                    with gr.TabItem("Data Management"):
+                        with gr.Accordion("File Upload (.txt)", open=True):
+                            file_upload = gr.File(label="Upload .txt File", file_types=[".txt"])
+                            upload_btn = gr.Button("Upload File", variant="primary")
+                            upload_output = gr.Textbox(label="Upload Status", visible=False)
+                        
+                        with gr.Accordion("File Management", open=True):
+                            file_list = gr.Dropdown(label="Select File", choices=[], interactive=True)
+                            refresh_btn = gr.Button("Refresh File List", variant="secondary")
+                            
+                            file_content = gr.TextArea(label="File Content", lines=10)
+                            
+                            with gr.Row():
+                                delete_btn = gr.Button("Delete Selected File", variant="stop")
+                                save_btn = gr.Button("Save Changes", variant="primary")
+                            
+                            operation_status = gr.Textbox(label="Operation Status", visible=False)
+                        
+                        
+
+                    with gr.TabItem("Indexing"):
+                        root_dir = gr.Textbox(label="Root Directory", value="./")
+                        config_file = gr.File(label="Config File (optional)")
+                        with gr.Row():
+                            verbose = gr.Checkbox(label="Verbose", value=True)
+                            nocache = gr.Checkbox(label="No Cache", value=True)
+                        with gr.Row():
+                            resume = gr.Textbox(label="Resume Timestamp (optional)")
+                            reporter = gr.Dropdown(label="Reporter", choices=["rich", "print", "none"], value=None)
+                        with gr.Row():
+                            emit_formats = gr.CheckboxGroup(label="Emit Formats", choices=["json", "csv", "parquet"], value=None)
+                        with gr.Row():
+                            run_index_button = gr.Button("Run Indexing")
+                            stop_index_button = gr.Button("Stop Indexing", variant="stop")
+                            refresh_index_button = gr.Button("Refresh Indexing", variant="secondary")
+                        
+                        with gr.Accordion("Custom CLI Arguments", open=True):
+                            custom_cli_args = gr.Textbox(
+                                label="Custom CLI Arguments",
+                                placeholder="--arg1 value1 --arg2 value2",
+                                lines=3
+                            )
+                            cli_guide = gr.Markdown(
+                                textwrap.dedent("""
+                                ### CLI Argument Key Guide:
+                                - `--root <path>`: Set the root directory for the project
+                                - `--config <path>`: Specify a custom configuration file
+                                - `--verbose`: Enable verbose output
+                                - `--nocache`: Disable caching
+                                - `--resume <timestamp>`: Resume from a specific timestamp
+                                - `--reporter <type>`: Set the reporter type (rich, print, none)
+                                - `--emit <formats>`: Specify output formats (json, csv, parquet)
+                                
+                                Example: `--verbose --nocache --emit json,csv`
+                                """)
+                            )
+                        
+                        index_output = gr.Textbox(label="Indexing Output", lines=20, max_lines=30)
+                        index_progress = gr.Textbox(label="Indexing Progress", lines=3)
+                        iterations_completed = gr.Textbox(label="Iterations Completed", value="0")
+                        refresh_status = gr.Textbox(label="Refresh Status", visible=True)
+
+                        run_index_button.click(
+                            fn=start_indexing,
+                            inputs=[root_dir, config_file, verbose, nocache, resume, reporter, emit_formats, custom_cli_args],
+                            outputs=[run_index_button, stop_index_button, refresh_index_button]
+                        ).then(
+                            fn=run_indexing,
+                            inputs=[root_dir, config_file, verbose, nocache, resume, reporter, emit_formats, custom_cli_args],
+                            outputs=[index_output, index_progress, run_index_button, stop_index_button, refresh_index_button, iterations_completed]
+                        )
+
+                        stop_index_button.click(
+                            fn=stop_indexing_process,
+                            outputs=[run_index_button, stop_index_button, refresh_index_button]
+                        )
+
+                        refresh_index_button.click(
+                            fn=refresh_indexing,
+                            outputs=[run_index_button, stop_index_button, refresh_index_button, refresh_status]
+                        )
+
+                    with gr.TabItem("Indexing Outputs/Visuals"):
+                        output_folder_list = gr.Dropdown(label="Select Output Folder (Select GraphML File to Visualize)", choices=list_output_folders("./indexing"), interactive=True)
+                        refresh_folder_btn = gr.Button("Refresh Folder List", variant="secondary")
+                        initialize_folder_btn = gr.Button("Initialize Selected Folder", variant="primary")
+                        folder_content_list = gr.Dropdown(label="Select File or Directory", choices=[], interactive=True)
+                        file_info = gr.Textbox(label="File Information", interactive=False)
+                        output_content = gr.TextArea(label="File Content", lines=20, interactive=False)
+                        initialization_status = gr.Textbox(label="Initialization Status")
+                    
+                    with gr.TabItem("LLM Settings"):
+                        llm_base_url = gr.Textbox(label="LLM API Base URL", value=os.getenv("LLM_API_BASE"))
+                        llm_api_key = gr.Textbox(label="LLM API Key", value=os.getenv("LLM_API_KEY"), type="password")
+                        llm_service_type = gr.Radio(
+                            label="LLM Service Type",
+                            choices=["openai", "ollama"],
+                            value="openai",
+                            visible=False  # Hide this if you want to always use OpenAI
+                        )
+
+                        llm_model_dropdown = gr.Dropdown(
+                            label="LLM Model", 
+                            choices=[],  # Start with an empty list
+                            value=settings['llm'].get('model'),
+                            allow_custom_value=True
+                        )
+                        refresh_llm_models_btn = gr.Button("Refresh LLM Models", variant="secondary")
+                        
+                        embeddings_base_url = gr.Textbox(label="Embeddings API Base URL", value=os.getenv("EMBEDDINGS_API_BASE"))
+                        embeddings_api_key = gr.Textbox(label="Embeddings API Key", value=os.getenv("EMBEDDINGS_API_KEY"), type="password")
+                        embeddings_service_type = gr.Radio(
+                            label="Embeddings Service Type",
+                            choices=["openai", "ollama"],
+                            value=settings.get('embeddings', {}).get('llm', {}).get('type', 'openai'),
+                            visible=False,
+                        )
+
+                        embeddings_model_dropdown = gr.Dropdown(
+                            label="Embeddings Model",
+                            choices=[],
+                            value=settings.get('embeddings', {}).get('llm', {}).get('model'),
+                            allow_custom_value=True
+                        )
+                        refresh_embeddings_models_btn = gr.Button("Refresh Embedding Models", variant="secondary")
+                        system_message = gr.Textbox(
+                            lines=5,
+                            label="System Message",
+                            value=os.getenv("SYSTEM_MESSAGE", "You are a helpful AI assistant.")
+                        )
+                        context_window = gr.Slider(
+                            label="Context Window",
+                            minimum=512,
+                            maximum=32768,
+                            step=512,
+                            value=int(os.getenv("CONTEXT_WINDOW", 4096))
+                        )                        
+                        temperature = gr.Slider(
+                            label="Temperature",
+                            minimum=0.0,
+                            maximum=2.0,
+                            step=0.1,
+                            value=float(settings['llm'].get('TEMPERATURE', 0.5))
+                        )
+                        max_tokens = gr.Slider(
+                            label="Max Tokens",
+                            minimum=1,
+                            maximum=8192,
+                            step=1,
+                            value=int(settings['llm'].get('MAX_TOKENS', 1024))
+                        )
+                        update_settings_btn = gr.Button("Update LLM Settings", variant="primary")
+                        llm_settings_status = gr.Textbox(label="Status", interactive=False)
+
+                        llm_base_url.change(
+                            fn=update_model_choices,
+                            inputs=[llm_base_url, llm_api_key, llm_service_type, gr.Textbox(value='llm', visible=False)],
+                            outputs=llm_model_dropdown
+                        )
+                        # Update Embeddings model choices when service type or base URL changes
+                        embeddings_service_type.change(
+                            fn=update_embeddings_model_choices,
+                            inputs=[embeddings_base_url, embeddings_api_key, embeddings_service_type],
+                            outputs=embeddings_model_dropdown
+                        )
+
+                        embeddings_base_url.change(
+                            fn=update_model_choices,
+                            inputs=[embeddings_base_url, embeddings_api_key, embeddings_service_type, gr.Textbox(value='embeddings', visible=False)],
+                            outputs=embeddings_model_dropdown
+                        )
+
+                        update_settings_btn.click(
+                            fn=update_llm_settings,
+                            inputs=[
+                                llm_model_dropdown,
+                                embeddings_model_dropdown,
+                                context_window,
+                                system_message,
+                                temperature,
+                                max_tokens,
+                                llm_base_url, 
+                                llm_api_key,
+                                embeddings_base_url,
+                                embeddings_api_key,
+                                embeddings_service_type
+                            ],
+                            outputs=[llm_settings_status]
+                        )
+
+
+                        refresh_llm_models_btn.click(
+                            fn=update_model_choices,
+                            inputs=[llm_base_url, llm_api_key, llm_service_type, gr.Textbox(value='llm', visible=False)],
+                            outputs=[llm_model_dropdown]
+                        ).then(
+                            fn=update_logs,
+                            outputs=[log_output]
+                        )
+
+                        refresh_embeddings_models_btn.click(
+                            fn=update_model_choices,
+                            inputs=[embeddings_base_url, embeddings_api_key, embeddings_service_type, gr.Textbox(value='embeddings', visible=False)],
+                            outputs=[embeddings_model_dropdown]
+                        ).then(
+                            fn=update_logs,
+                            outputs=[log_output]
+                        )
+
+                    with gr.TabItem("YAML Settings"):
+                        settings = load_settings()
+                        with gr.Group():
+                            for key, value in settings.items():
+                                if key != 'llm':
+                                    create_setting_component(key, value)
+                
+                with gr.Group(elem_id="log-container"):
+                    gr.Markdown("### Logs")
+                    log_output = gr.TextArea(label="Logs", elem_id="log-output", interactive=False)
+
+            with gr.Column(scale=2, elem_id="right-column"):
+                with gr.Group(elem_id="chat-container"):
+                    chatbot = gr.Chatbot(label="Chat History", elem_id="chatbot")
+                    with gr.Row(elem_id="chat-input-row"):
+                        with gr.Column(scale=1):
+                            query_input = gr.Textbox(
+                                label="Input",
+                                placeholder="Enter your query here...",
+                                elem_id="query-input"
+                            )
+                            query_btn = gr.Button("Send Query", variant="primary")
+                        
+                    with gr.Accordion("Query Parameters", open=True):
+                        query_type = gr.Radio(
+                            ["global", "local", "direct"],
+                            label="Query Type",
+                            value="global",
+                            info="Global: community-based search, Local: entity-based search, Direct: LLM chat"
+                        )
+                        preset_dropdown = gr.Dropdown(
+                            label="Preset Query Options",
+                            choices=[
+                                "Default Global Search",
+                                "Default Local Search",
+                                "Detailed Global Analysis",
+                                "Detailed Local Analysis",
+                                "Quick Global Summary",
+                                "Quick Local Summary",
+                                "Global Bullet Points",
+                                "Local Bullet Points",
+                                "Comprehensive Global Report",
+                                "Comprehensive Local Report",
+                                "High-Level Global Overview",
+                                "High-Level Local Overview",
+                                "Focused Global Insight",
+                                "Focused Local Insight",
+                                "Custom Query"
+                            ],
+                            value="Default Global Search",
+                            info="Select a preset or choose 'Custom Query' for manual configuration"
+                        )
+                        selected_folder = gr.Dropdown(
+                            label="Select Index Folder to Chat With",
+                            choices=list_output_folders("./indexing"),
+                            value=None,
+                            interactive=True
+                        )
+                        refresh_folder_btn = gr.Button("Refresh Folders", variant="secondary")
+                        clear_chat_btn = gr.Button("Clear Chat", variant="secondary")
+                        
+                        with gr.Group(visible=False) as custom_options:
+                            community_level = gr.Slider(
+                                label="Community Level",
+                                minimum=1,
+                                maximum=10,
+                                value=2,
+                                step=1,
+                                info="Higher values use reports on smaller communities"
+                            )
+                            response_type = gr.Dropdown(
+                                label="Response Type",
+                                choices=[
+                                    "Multiple Paragraphs",
+                                    "Single Paragraph",
+                                    "Single Sentence",
+                                    "List of 3-7 Points",
+                                    "Single Page",
+                                    "Multi-Page Report"
+                                ],
+                                value="Multiple Paragraphs",
+                                info="Specify the desired format of the response"
+                            )
+                            custom_cli_args = gr.Textbox(
+                                label="Custom CLI Arguments",
+                                placeholder="--arg1 value1 --arg2 value2",
+                                info="Additional CLI arguments for advanced users"
+                            )
+
+                    def update_custom_options(preset):
+                        if preset == "Custom Query":
+                            return gr.update(visible=True)
+                        else:
+                            return gr.update(visible=False)
+
+                    preset_dropdown.change(fn=update_custom_options, inputs=[preset_dropdown], outputs=[custom_options])
+
+                
+                    
+
+                    with gr.Group(elem_id="visualization-container"):
+                        vis_output = gr.Plot(label="Graph Visualization", elem_id="visualization-plot")
+                        with gr.Row(elem_id="vis-controls-row"):
+                            vis_btn = gr.Button("Visualize Graph", variant="secondary")
+                        
+                        # Add new controls for customization
+                        with gr.Accordion("Visualization Settings", open=False):
+                            layout_type = gr.Dropdown(["3D Spring", "2D Spring", "Circular"], label="Layout Type", value="3D Spring")
+                            node_size = gr.Slider(1, 20, 7, label="Node Size", step=1)
+                            edge_width = gr.Slider(0.1, 5, 0.5, label="Edge Width", step=0.1)
+                            node_color_attribute = gr.Dropdown(["Degree", "Random"], label="Node Color Attribute", value="Degree")
+                            color_scheme = gr.Dropdown(["Viridis", "Plasma", "Inferno", "Magma", "Cividis"], label="Color Scheme", value="Viridis")
+                            show_labels = gr.Checkbox(label="Show Node Labels", value=True)
+                            label_size = gr.Slider(5, 20, 10, label="Label Size", step=1)
+                        
+
+        # Event handlers
+        upload_btn.click(fn=upload_file, inputs=[file_upload], outputs=[upload_output, file_list, log_output])
+        refresh_btn.click(fn=update_file_list, outputs=[file_list]).then(
+            fn=update_logs,
+            outputs=[log_output]
+        )
+        file_list.change(fn=update_file_content, inputs=[file_list], outputs=[file_content]).then(
+            fn=update_logs,
+            outputs=[log_output]
+        )
+        delete_btn.click(fn=delete_file, inputs=[file_list], outputs=[operation_status, file_list, log_output])
+        save_btn.click(fn=save_file_content, inputs=[file_list, file_content], outputs=[operation_status, log_output])
+
+        refresh_folder_btn.click(
+            fn=lambda: gr.update(choices=list_output_folders("./indexing")),
+            outputs=[selected_folder]
+        )
+
+        clear_chat_btn.click(
+            fn=lambda: ([], ""),
+            outputs=[chatbot, query_input]
+        )
+
+        refresh_folder_btn.click(
+            fn=update_output_folder_list,
+            outputs=[output_folder_list]
+        ).then(
+            fn=update_logs,
+            outputs=[log_output]
+        )
+
+        output_folder_list.change(
+            fn=update_folder_content_list,
+            inputs=[output_folder_list],
+            outputs=[folder_content_list]
+        ).then(
+            fn=update_logs,
+            outputs=[log_output]
+        )
+
+        folder_content_list.change(
+            fn=handle_content_selection,
+            inputs=[output_folder_list, folder_content_list],
+            outputs=[folder_content_list, file_info, output_content]
+        ).then(
+            fn=update_logs,
+            outputs=[log_output]
+        )
+
+        initialize_folder_btn.click(
+            fn=initialize_selected_folder,
+            inputs=[output_folder_list],
+            outputs=[initialization_status, folder_content_list]
+        ).then(
+            fn=update_logs,
+            outputs=[log_output]
+        )
+
+        vis_btn.click(
+            fn=update_visualization,
+            inputs=[
+                output_folder_list,
+                folder_content_list,
+                layout_type,
+                node_size,
+                edge_width,
+                node_color_attribute,
+                color_scheme,
+                show_labels,
+                label_size
+            ],
+            outputs=[vis_output, gr.Textbox(label="Visualization Status")]
+        )
+
+        query_btn.click(
+            fn=send_message,
+            inputs=[
+                query_type,
+                query_input,
+                chatbot,
+                system_message,
+                temperature,
+                max_tokens,
+                preset_dropdown,
+                community_level,
+                response_type,
+                custom_cli_args,
+                selected_folder
+            ],
+            outputs=[chatbot, query_input, log_output]
+        )
+
+        query_input.submit(
+            fn=send_message,
+            inputs=[
+                query_type,
+                query_input,
+                chatbot,
+                system_message,
+                temperature,
+                max_tokens,
+                preset_dropdown,
+                community_level,
+                response_type,
+                custom_cli_args,
+                selected_folder
+            ],
+            outputs=[chatbot, query_input, log_output]
+        )
+        refresh_llm_models_btn.click(
+            fn=update_model_choices,
+            inputs=[llm_base_url, llm_api_key, llm_service_type, gr.Textbox(value='llm', visible=False)],
+            outputs=[llm_model_dropdown]
+        )
+
+        # Update Embeddings model choices
+        refresh_embeddings_models_btn.click(
+            fn=update_model_choices,
+            inputs=[embeddings_base_url, embeddings_api_key, embeddings_service_type, gr.Textbox(value='embeddings', visible=False)],
+            outputs=[embeddings_model_dropdown]
+        )
+        
+        # Add this JavaScript to enable Shift+Enter functionality
+        demo.load(js="""
+        function addShiftEnterListener() {
+            const queryInput = document.getElementById('query-input');
+            if (queryInput) {
+                queryInput.addEventListener('keydown', function(event) {
+                    if (event.key === 'Enter' && event.shiftKey) {
+                        event.preventDefault();
+                        const submitButton = queryInput.closest('.gradio-container').querySelector('button.primary');
+                        if (submitButton) {
+                            submitButton.click();
+                        }
+                    }
+                });
+            }
+        }
+        document.addEventListener('DOMContentLoaded', addShiftEnterListener);
+        """)
+
+    return demo.queue()
+
+async def main():
+    api_port = 8088
+    gradio_port = 7860
+
+
+    print(f"Starting API server on port {api_port}")
+    start_api_server(api_port)
+
+    # Wait for the API server to start in a separate thread
+    threading.Thread(target=wait_for_api_server, args=(api_port,)).start()
+
+    # Create the Gradio app
+    demo = create_gradio_interface()
+
+    print(f"Starting Gradio app on port {gradio_port}")
+    # Launch the Gradio app
+    demo.launch(server_port=gradio_port, share=True)
+
+
+demo = create_gradio_interface()
+app = demo.app
+
+if __name__ == "__main__":
+    initialize_data()
+    demo.launch(server_port=7860, share=True)
diff --git a/css b/css
new file mode 100644
index 0000000000000000000000000000000000000000..6d6bac4ff3e77dd5918e31d1e12b1011a979fcf8
--- /dev/null
+++ b/css
@@ -0,0 +1,242 @@
+html, body {
+    margin: 0;
+    padding: 0;
+    height: 100vh;
+    overflow: hidden;
+}
+
+.gradio-container {
+    margin: 0 !important;
+    padding: 0 !important;
+    width: 100vw !important;
+    max-width: 100vw !important;
+    height: 100vh !important;
+    max-height: 100vh !important;
+    overflow: auto;
+    display: flex;
+    flex-direction: column;
+}
+
+#main-container {
+    flex: 1;
+    display: flex;
+    overflow: hidden;
+}
+
+#left-column, #right-column {
+    height: 100%;
+    overflow-y: auto;
+    padding: 10px;
+}
+
+#left-column {
+    flex: 1;
+}
+
+#right-column {
+    flex: 2;
+    display: flex;
+    flex-direction: column;
+}
+
+#chat-container {
+    flex: 0 0 auto;  /* Don't allow this to grow */
+    height: 100%;
+    display: flex;
+    flex-direction: column;
+    overflow: hidden;
+    border: 1px solid var(--color-accent);
+    border-radius: 8px;
+    padding: 10px;
+    overflow-y: auto;
+}
+
+#chatbot {
+    overflow-y: hidden;
+    height: 100%;
+}
+
+#chat-input-row {
+    margin-top: 10px;
+}
+
+#visualization-plot {
+    width: 100%;
+    aspect-ratio: 1 / 1;
+    max-height: 600px;  /* Adjust this value as needed */
+}
+
+#vis-controls-row {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    margin-top: 10px;
+}
+
+#vis-controls-row > * {
+    flex: 1;
+    margin: 0 5px;
+}
+
+#vis-status {
+    margin-top: 10px;
+}
+
+/* Chat input styling */
+#chat-input-row {
+    display: flex;
+    flex-direction: column;
+}
+
+#chat-input-row > div {
+    width: 100% !important;
+}
+
+#chat-input-row input[type="text"] {
+    width: 100% !important;
+}
+
+/* Adjust padding for all containers */
+.gr-box, .gr-form, .gr-panel {
+    padding: 10px !important;
+}
+
+/* Ensure all textboxes and textareas have full height */
+.gr-textbox, .gr-textarea {
+    height: auto !important;
+    min-height: 100px !important;
+}
+
+/* Ensure all dropdowns have full width */
+.gr-dropdown {
+    width: 100% !important;
+}
+
+:root {
+    --color-background: #2C3639;
+    --color-foreground: #3F4E4F;
+    --color-accent: #A27B5C;
+    --color-text: #DCD7C9;
+}
+
+body, .gradio-container {
+    background-color: var(--color-background);
+    color: var(--color-text);
+}
+
+.gr-button {
+    background-color: var(--color-accent);
+    color: var(--color-text);
+}
+
+.gr-input, .gr-textarea, .gr-dropdown {
+    background-color: var(--color-foreground);
+    color: var(--color-text);
+    border: 1px solid var(--color-accent);
+}
+
+.gr-panel {
+    background-color: var(--color-foreground);
+    border: 1px solid var(--color-accent);
+}
+
+.gr-box {
+    border-radius: 8px;
+    margin-bottom: 10px;
+    background-color: var(--color-foreground);
+}
+
+.gr-padded {
+    padding: 10px;
+}
+
+.gr-form {
+    background-color: var(--color-foreground);
+}
+
+.gr-input-label, .gr-radio-label {
+    color: var(--color-text);
+}
+
+.gr-checkbox-label {
+    color: var(--color-text);
+}
+
+.gr-markdown {
+    color: var(--color-text);
+}
+
+.gr-accordion {
+    background-color: var(--color-foreground);
+    border: 1px solid var(--color-accent);
+}
+
+.gr-accordion-header {
+    background-color: var(--color-accent);
+    color: var(--color-text);
+}
+
+#visualization-container {
+    display: flex;
+    flex-direction: column;
+    border: 2px solid var(--color-accent);
+    border-radius: 8px;
+    margin-top: 20px;
+    padding: 10px;
+    background-color: var(--color-foreground);
+    height: calc(100vh - 300px);  /* Adjust this value as needed */
+}
+
+#visualization-plot {
+    width: 100%;
+    height: 100%;
+}
+
+#vis-controls-row {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    margin-top: 10px;
+}
+
+#vis-controls-row > * {
+    flex: 1;
+    margin: 0 5px;
+}
+
+#vis-status {
+    margin-top: 10px;
+}
+
+#log-container {
+    background-color: var(--color-foreground);
+    border: 1px solid var(--color-accent);
+    border-radius: 8px;
+    padding: 10px;
+    margin-top: 20px;
+    max-height: auto;
+    overflow-y: auto;
+}
+
+.setting-accordion .label-wrap {
+    cursor: pointer;
+}
+
+.setting-accordion .icon {
+    transition: transform 0.3s ease;
+}
+
+.setting-accordion[open] .icon {
+    transform: rotate(90deg);
+}
+
+.gr-form.gr-box {
+    border: none !important;
+    background: none !important;
+}
+
+.model-params {
+    border-top: 1px solid var(--color-accent);
+    margin-top: 10px;
+    padding-top: 10px;
+}
\ No newline at end of file
diff --git a/embedding_proxy.py b/embedding_proxy.py
new file mode 100644
index 0000000000000000000000000000000000000000..c2d8f02049fbc504797f8e0d7d1c25e9d801c055
--- /dev/null
+++ b/embedding_proxy.py
@@ -0,0 +1,62 @@
+import json
+from fastapi import FastAPI, HTTPException
+import uvicorn
+import httpx
+from pydantic import BaseModel
+from typing import List, Union
+
+app = FastAPI()
+
+OLLAMA_URL = "http://localhost:11434"  # Default Ollama URL
+
+class EmbeddingRequest(BaseModel):
+    input: Union[str, List[str]]
+    model: str
+
+class EmbeddingResponse(BaseModel):
+    object: str
+    data: List[dict]
+    model: str
+    usage: dict
+
+@app.post("/v1/embeddings")
+async def create_embedding(request: EmbeddingRequest):
+    async with httpx.AsyncClient() as client:
+        if isinstance(request.input, str):
+            request.input = [request.input]
+
+        ollama_requests = [{"model": request.model, "prompt": text} for text in request.input]
+
+        embeddings = []
+
+
+        for i, ollama_request in enumerate(ollama_requests):
+            response = await client.post(f"{OLLAMA_URL}/api/embeddings", json=ollama_request)
+            if response.status_code != 200:
+                raise HTTPException(status_code=response.status_code, detail="Ollama API error")
+            
+            result = response.json()
+            embeddings.append({
+                "object": "embedding",
+                "embedding": result["embedding"],
+                "index": i
+            })
+            
+
+        return EmbeddingResponse(
+            object="list",
+            data=embeddings,
+            model=request.model,
+            
+        )
+
+if __name__ == "__main__":
+    import argparse
+    parser = argparse.ArgumentParser(description="Run the embedding proxy server")
+    parser.add_argument("--port", type=int, default=11435, help="Port to run the server on")
+    parser.add_argument("--host", type=str, default="http://localhost:11434", help="URL of the Ollama server")
+    parser.add_argument("--reload", action="store_true", help="Enable auto-reload for development")
+    args = parser.parse_args()
+
+    OLLAMA_URL = args.host
+    uvicorn.run("embedding_proxy:app", host="0.0.0.0", port=args.port, reload=args.reload)
diff --git a/env-example.txt b/env-example.txt
new file mode 100644
index 0000000000000000000000000000000000000000..c29658ada2722851eef3495ccf362b96e88a08db
--- /dev/null
+++ b/env-example.txt
@@ -0,0 +1,19 @@
+LLM_PROVIDER=openai
+LLM_API_BASE=http://localhost:11434/v1
+LLM_MODEL='mistral-large:123b-instruct-2407-q4_0'
+LLM_API_KEY=12345
+
+EMBEDDINGS_PROVIDER=openai
+EMBEDDINGS_API_BASE=http://localhost:11434
+EMBEDDINGS_MODEL='snowflake-arctic-embed:335m'
+EMBEDDINGS_API_KEY=12345
+
+
+GRAPHRAG_API_KEY=12345
+ROOT_DIR=indexing
+INPUT_DIR=${ROOT_DIR}/output/${timestamp}/artifacts
+LLM_SERVICE_TYPE=openai_chat
+EMBEDDINGS_SERVICE_TYPE=openai_embedding
+
+API_URL=http://localhost:8012
+API_PORT=8012
diff --git a/graphrag/.github/ISSUE_TEMPLATE.md b/graphrag/.github/ISSUE_TEMPLATE.md
new file mode 100644
index 0000000000000000000000000000000000000000..ac8e9a602071594e572b1f1523c87e37f28305e5
--- /dev/null
+++ b/graphrag/.github/ISSUE_TEMPLATE.md
@@ -0,0 +1,69 @@
+### Description
+
+<!-- A clear and concise description of the issue or feature request. -->
+
+### Environment
+
+- GraphRAG version: <!-- Specify the GraphRAG version (e.g., v0.1.1) -->
+- Python version: <!-- Specify the Python version (e.g., 3.8) -->
+- Operating System: <!-- Specify the OS (e.g., Windows 10, Ubuntu 20.04) -->
+
+### Steps to Reproduce (for bugs)
+
+<!-- Provide detailed steps to reproduce the issue. Include code snippets, configuration files, or any other relevant information. -->
+
+1. Step 1
+2. Step 2
+3. ...
+
+### Expected Behavior
+
+<!-- Describe what you expected to happen. -->
+
+### Actual Behavior
+
+<!-- Describe what actually happened. Include any error messages, stack traces, or unexpected behavior. -->
+
+### Screenshots / Logs (if applicable)
+
+<!-- If relevant, include screenshots or logs that help illustrate the issue. -->
+
+### GraphRAG Configuration
+
+<!-- Include the GraphRAG configuration used for this run. -->
+
+### Additional Information
+
+<!-- Include any additional information that might be helpful, such as specific configurations, data samples, or context about the environment. -->
+
+### Possible Solution (if you have one)
+
+<!-- If you have suggestions on how to address the issue, provide them here. -->
+
+### Is this a Bug or Feature Request?
+
+<!-- Choose one: Bug | Feature Request -->
+
+### Any related issues?
+
+<!-- If this is related to another issue, reference it here. -->
+
+### Any relevant discussions?
+
+<!-- If there are any discussions or forum threads related to this issue, provide links. -->
+
+### Checklist
+
+<!-- Please check the items that you have completed -->
+
+- [ ] I have searched for similar issues and didn't find any duplicates.
+- [ ] I have provided a clear and concise description of the issue.
+- [ ] I have included the necessary environment details.
+- [ ] I have outlined the steps to reproduce the issue.
+- [ ] I have included any relevant logs or screenshots.
+- [ ] I have included the GraphRAG configuration for this run.
+- [ ] I have indicated whether this is a bug or a feature request.
+
+### Additional Comments
+
+<!-- Any additional comments or context that you think would be helpful. -->
diff --git a/graphrag/.github/ISSUE_TEMPLATE/bug_report.yml b/graphrag/.github/ISSUE_TEMPLATE/bug_report.yml
new file mode 100644
index 0000000000000000000000000000000000000000..369a8a2564ef096e1b46e53c0cb19aaaba66dfe9
--- /dev/null
+++ b/graphrag/.github/ISSUE_TEMPLATE/bug_report.yml
@@ -0,0 +1,57 @@
+name: Bug Report
+description: File a bug report
+title: "[Bug]: <title>"
+labels: ["bug", "triage"]
+
+body:
+  - type: textarea
+    id: description
+    attributes:
+      label: Describe the bug
+      description: A clear and concise description of what the bug is.
+      placeholder: What went wrong?
+  - type: textarea
+    id: reproduce
+    attributes:
+      label: Steps to reproduce
+      description: |
+        Steps to reproduce the behavior:
+
+        1. Step 1
+        2. Step 2
+        3. ...
+        4. See error
+      placeholder: How can we replicate the issue?
+  - type: textarea
+    id: expected_behavior
+    attributes:
+      label: Expected Behavior
+      description: A clear and concise description of what you expected to happen.
+      placeholder: What should have happened?
+  - type: textarea
+    id: configused
+    attributes:
+      label: GraphRAG Config Used
+      description: The GraphRAG configuration used for the run.
+      placeholder: The settings.yaml content or GraphRAG configuration
+  - type: textarea
+    id: screenshotslogs
+    attributes:
+      label: Logs and screenshots
+      description: If applicable, add screenshots and logs to help explain your problem.
+      placeholder: Add logs and screenshots here
+  - type: textarea
+    id: additional_information
+    attributes:
+      label: Additional Information
+      description: |
+        - GraphRAG Version: e.g., v0.1.1
+        - Operating System: e.g., Windows 10, Ubuntu 20.04
+        - Python Version: e.g., 3.8
+        - Related Issues: e.g., #1
+        - Any other relevant information.
+      value: |
+        - GraphRAG Version:
+        - Operating System:
+        - Python Version:
+        - Related Issues:
diff --git a/graphrag/.github/ISSUE_TEMPLATE/config.yml b/graphrag/.github/ISSUE_TEMPLATE/config.yml
new file mode 100644
index 0000000000000000000000000000000000000000..0086358db1eb971c0cfa8739c27518bbc18a5ff4
--- /dev/null
+++ b/graphrag/.github/ISSUE_TEMPLATE/config.yml
@@ -0,0 +1 @@
+blank_issues_enabled: true
diff --git a/graphrag/.github/ISSUE_TEMPLATE/feature_request.yml b/graphrag/.github/ISSUE_TEMPLATE/feature_request.yml
new file mode 100644
index 0000000000000000000000000000000000000000..585d63aa75c7158bfa89da72f9c7c273c8940067
--- /dev/null
+++ b/graphrag/.github/ISSUE_TEMPLATE/feature_request.yml
@@ -0,0 +1,26 @@
+name: Feature Request
+description: File a feature request
+labels: ["enhancement"]
+title: "[Feature Request]: <title>"
+
+body:
+  - type: textarea
+    id: problem_description
+    attributes:
+      label: Is your feature request related to a problem? Please describe.
+      description: A clear and concise description of what the problem is.
+      placeholder: What problem are you trying to solve?
+
+  - type: textarea
+    id: solution_description
+    attributes:
+      label: Describe the solution you'd like
+      description: A clear and concise description of what you want to happen.
+      placeholder: How do you envision the solution?
+
+  - type: textarea
+    id: additional_context
+    attributes:
+      label: Additional context
+      description: Add any other context or screenshots about the feature request here.
+      placeholder: Any additional information
diff --git a/graphrag/.github/ISSUE_TEMPLATE/general_issue.yml b/graphrag/.github/ISSUE_TEMPLATE/general_issue.yml
new file mode 100644
index 0000000000000000000000000000000000000000..852bf9583a05eb55e25036e317e45261b8955c40
--- /dev/null
+++ b/graphrag/.github/ISSUE_TEMPLATE/general_issue.yml
@@ -0,0 +1,51 @@
+name: General Issue
+description: File a general issue
+title: "[Issue]: <title> "
+labels: ["triage"]
+
+body:
+  - type: textarea
+    id: description
+    attributes:
+      label: Describe the issue
+      description: A clear and concise description of what the issue is.
+      placeholder: What went wrong?
+  - type: textarea
+    id: reproduce
+    attributes:
+      label: Steps to reproduce
+      description: |
+        Steps to reproduce the behavior:
+
+        1. Step 1
+        2. Step 2
+        3. ...
+        4. See error
+      placeholder: How can we replicate the issue?
+  - type: textarea
+    id: configused
+    attributes:
+      label: GraphRAG Config Used
+      description: The GraphRAG configuration used for the run.
+      placeholder: The settings.yaml content or GraphRAG configuration
+  - type: textarea
+    id: screenshotslogs
+    attributes:
+      label: Logs and screenshots
+      description: If applicable, add screenshots and logs to help explain your problem.
+      placeholder: Add logs and screenshots here
+  - type: textarea
+    id: additional_information
+    attributes:
+      label: Additional Information
+      description: |
+        - GraphRAG Version: e.g., v0.1.1
+        - Operating System: e.g., Windows 10, Ubuntu 20.04
+        - Python Version: e.g., 3.8
+        - Related Issues: e.g., #1
+        - Any other relevant information.
+      value: |
+        - GraphRAG Version:
+        - Operating System:
+        - Python Version:
+        - Related Issues:
diff --git a/graphrag/.github/dependabot.yml b/graphrag/.github/dependabot.yml
new file mode 100644
index 0000000000000000000000000000000000000000..3da41ebe5e2e62c8c1067b68bececd7a438a8f55
--- /dev/null
+++ b/graphrag/.github/dependabot.yml
@@ -0,0 +1,19 @@
+# To get started with Dependabot version updates, you'll need to specify which
+# package ecosystems to update and where the package manifests are located.
+# Please see the documentation for all configuration options:
+# https://docs.github.com/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file
+version: 2
+updates:
+  - package-ecosystem: "npm" # See documentation for possible values
+    directory: "docsite/" # Location of package manifests
+    schedule:
+      interval: "weekly"
+  - package-ecosystem: "pip" # See documentation for possible values
+    directory: "/" # Location of package manifests
+    schedule:
+      interval: "weekly"
+  - package-ecosystem: "github-actions"
+    # Workflow files stored in the default location of `.github/workflows`. (You don't need to specify `/.github/workflows` for `directory`. You can use `directory: "/"`.)
+    directory: "/"
+    schedule:
+      interval: "weekly"
diff --git a/graphrag/.github/pull_request_template.md b/graphrag/.github/pull_request_template.md
new file mode 100644
index 0000000000000000000000000000000000000000..49ceff49e93f1ab3d5ad2de78e5075943cadeafc
--- /dev/null
+++ b/graphrag/.github/pull_request_template.md
@@ -0,0 +1,36 @@
+<!--
+Thanks for contributing to GraphRAG!
+
+Please do not make *Draft* pull requests, as they still notify anyone watching the repo.
+
+Create a pull request when it is ready for review and feedback.
+
+About this template
+
+The following template aims to help contributors write a good description for their pull requests.
+We'd like you to provide a description of the changes in your pull request (i.e. bugs fixed or features added), the motivation behind the changes, and complete the checklist below before opening a pull request.
+
+Feel free to discard it if you need to (e.g. when you just fix a typo). -->
+
+## Description
+
+[Provide a brief description of the changes made in this pull request.]
+
+## Related Issues
+
+[Reference any related issues or tasks that this pull request addresses.]
+
+## Proposed Changes
+
+[List the specific changes made in this pull request.]
+
+## Checklist
+
+- [ ] I have tested these changes locally.
+- [ ] I have reviewed the code changes.
+- [ ] I have updated the documentation (if necessary).
+- [ ] I have added appropriate unit tests (if applicable).
+
+## Additional Notes
+
+[Add any additional notes or context that may be helpful for the reviewer(s).]
diff --git a/graphrag/.github/workflows/gh-pages.yml b/graphrag/.github/workflows/gh-pages.yml
new file mode 100644
index 0000000000000000000000000000000000000000..5ca57231cfb3f25ca5ac7b1538695e26da34f02b
--- /dev/null
+++ b/graphrag/.github/workflows/gh-pages.yml
@@ -0,0 +1,97 @@
+name: gh-pages
+on:
+  push:
+    branches: [main]
+
+permissions:
+  contents: write
+
+env:
+  POETRY_VERSION: 1.8.3
+  PYTHON_VERSION: "3.11"
+  NODE_VERSION: 18.x
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    env:
+      GH_PAGES: 1
+      DEBUG: 1
+      GRAPHRAG_LLM_TYPE: "azure_openai_chat"
+      GRAPHRAG_EMBEDDING_TYPE: "azure_openai_embedding"
+      GRAPHRAG_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+      GRAPHRAG_API_BASE: ${{ secrets.GRAPHRAG_API_BASE }}
+      GRAPHRAG_API_VERSION: ${{ secrets.GRAPHRAG_API_VERSION }}
+      GRAPHRAG_LLM_DEPLOYMENT_NAME: ${{ secrets.GRAPHRAG_LLM_DEPLOYMENT_NAME }}
+      GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME: ${{ secrets.GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME }}
+      GRAPHRAG_CACHE_TYPE: "blob"
+      GRAPHRAG_CACHE_CONNECTION_STRING: ${{ secrets.BLOB_STORAGE_CONNECTION_STRING }}
+      GRAPHRAG_CACHE_CONTAINER_NAME: "cicache"
+      GRAPHRAG_CACHE_BASE_DIR": "cache"
+      GRAPHRAG_LLM_MODEL: gpt-3.5-turbo-16k
+      GRAPHRAG_EMBEDDING_MODEL: text-embedding-ada-002
+      # We have Windows + Linux runners in 3.10 and 3.11, so we need to divide the rate limits by 4
+      GRAPHRAG_LLM_TPM: 45_000 # 180,000 / 4
+      GRAPHRAG_LLM_RPM: 270 # 1,080 / 4
+      GRAPHRAG_EMBEDDING_TPM: 87_500 # 350,000 / 4
+      GRAPHRAG_EMBEDDING_RPM: 525 # 2,100 / 4
+      GRAPHRAG_CHUNK_SIZE: 1200
+      GRAPHRAG_CHUNK_OVERLAP: 0
+      # Azure AI Search config
+      AZURE_AI_SEARCH_URL_ENDPOINT: ${{ secrets.AZURE_AI_SEARCH_URL_ENDPOINT }}
+      AZURE_AI_SEARCH_API_KEY: ${{ secrets.AZURE_AI_SEARCH_API_KEY }}
+
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          persist-credentials: false
+
+      - name: Set up Python ${{ env.PYTHON_VERSION }}
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ env.PYTHON_VERSION }}
+
+      - name: Install Poetry ${{ env.POETRY_VERSION }}
+        uses: abatilo/actions-poetry@v3.0.0
+        with:
+          poetry-version: ${{ env.POETRY_VERSION }}
+
+      - name: Use Node ${{ env.NODE_VERSION }}
+        uses: actions/setup-node@v4
+        with:
+          node-version: ${{ env.NODE_VERSION }}
+
+      - name: Install Yarn dependencies
+        run: yarn install
+        working-directory: docsite
+
+      - name: Install Poetry dependencies
+        run: poetry install
+
+      - name: Install Azurite
+        id: azuright
+        uses: potatoqualitee/azuright@v1.1
+
+      - name: Generate Indexer Outputs
+        run: |
+          poetry run poe test_smoke
+          zip -jrm docsite/data/operation_dulce/dataset.zip tests/fixtures/min-csv/output/*/artifacts/*.parquet
+
+      - name: Build Jupyter Notebooks
+        run: poetry run poe convert_docsite_notebooks
+
+      - name: Build docsite
+        run: yarn build
+        working-directory: docsite
+        env:
+          DOCSITE_BASE_URL: "graphrag"
+
+      - name: List docsite files
+        run: find docsite/_site
+
+      - name: Deploy to GitHub Pages
+        uses: JamesIves/github-pages-deploy-action@v4.6.3
+        with:
+          branch: gh-pages
+          folder: docsite/_site
+          clean: true
diff --git a/graphrag/.github/workflows/javascript-ci.yml b/graphrag/.github/workflows/javascript-ci.yml
new file mode 100644
index 0000000000000000000000000000000000000000..e1d45c6fc04d14f1589bdcbea627519f79eba714
--- /dev/null
+++ b/graphrag/.github/workflows/javascript-ci.yml
@@ -0,0 +1,30 @@
+name: JavaScript CI
+on:
+  push:
+    branches: [main]
+  pull_request:
+    branches: [main]
+
+env:
+  NODE_VERSION: 18.x
+
+jobs:
+  javascript-ci:
+    runs-on: ubuntu-latest
+    strategy:
+      fail-fast: false
+    steps:
+      - name: Use Node ${{ env.NODE_VERSION }}
+        uses: actions/setup-node@v4
+        with:
+          node-version: ${{ env.NODE_VERSION }}
+
+      - uses: actions/checkout@v4
+
+      - run: yarn install
+        working-directory: docsite
+        name: Install Dependencies
+
+      - run: yarn build
+        working-directory: docsite
+        name: Build Docsite
\ No newline at end of file
diff --git a/graphrag/.github/workflows/python-ci.yml b/graphrag/.github/workflows/python-ci.yml
new file mode 100644
index 0000000000000000000000000000000000000000..243f2cf02b53172d933781aaa7ffda2822f537bb
--- /dev/null
+++ b/graphrag/.github/workflows/python-ci.yml
@@ -0,0 +1,122 @@
+name: Python CI
+on:
+  push:
+    branches: [main]
+  pull_request:
+    branches: [main]
+
+permissions:
+  contents: read
+  pull-requests: read
+
+concurrency:
+  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }}
+  # Only run the for the latest commit
+  cancel-in-progress: true
+
+env:
+  POETRY_VERSION: 1.8.3
+
+jobs:
+  python-ci:
+    strategy:
+      matrix:
+        python-version: ["3.10", "3.11", "3.12"]
+        os: [ubuntu-latest, windows-latest]
+    env:
+      DEBUG: 1
+      GRAPHRAG_LLM_TYPE: "azure_openai_chat"
+      GRAPHRAG_EMBEDDING_TYPE: "azure_openai_embedding"
+      GRAPHRAG_API_KEY: ${{ secrets.OPENAI_API_KEY }}
+      GRAPHRAG_API_BASE: ${{ secrets.GRAPHRAG_API_BASE }}
+      GRAPHRAG_API_VERSION: ${{ secrets.GRAPHRAG_API_VERSION }}
+      GRAPHRAG_LLM_DEPLOYMENT_NAME: ${{ secrets.GRAPHRAG_LLM_DEPLOYMENT_NAME }}
+      GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME: ${{ secrets.GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME }}
+      GRAPHRAG_CACHE_TYPE: "blob"
+      GRAPHRAG_CACHE_CONNECTION_STRING: ${{ secrets.BLOB_STORAGE_CONNECTION_STRING }}
+      GRAPHRAG_CACHE_CONTAINER_NAME: "cicache"
+      GRAPHRAG_CACHE_BASE_DIR": "cache"
+      GRAPHRAG_LLM_MODEL: gpt-3.5-turbo-16k
+      GRAPHRAG_EMBEDDING_MODEL: text-embedding-ada-002
+      # We have Windows + Linux runners in 3.10 and 3.11, so we need to divide the rate limits by 4
+      GRAPHRAG_LLM_TPM: 45_000 # 180,000 / 4
+      GRAPHRAG_LLM_RPM: 270 # 1,080 / 4
+      GRAPHRAG_EMBEDDING_TPM: 87_500 # 350,000 / 4
+      GRAPHRAG_EMBEDDING_RPM: 525 # 2,100 / 4
+      GRAPHRAG_CHUNK_SIZE: 1200
+      GRAPHRAG_CHUNK_OVERLAP: 0
+      # Azure AI Search config
+      AZURE_AI_SEARCH_URL_ENDPOINT: ${{ secrets.AZURE_AI_SEARCH_URL_ENDPOINT }}
+      AZURE_AI_SEARCH_API_KEY: ${{ secrets.AZURE_AI_SEARCH_API_KEY }}
+
+    runs-on: ${{ matrix.os }}
+    steps:
+      - uses: actions/checkout@v4
+
+      - uses: dorny/paths-filter@v3
+        id: changes
+        with:
+          filters: |
+            python:
+              - 'graphrag/**/*'
+              - 'poetry.lock'
+              - 'pyproject.toml'
+              - '**/*.py'
+              - '**/*.toml'
+              - '**/*.ipynb'
+              - '.github/workflows/python*.yml'
+              - 'tests/smoke/*'
+
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - name: Install Poetry
+        uses: abatilo/actions-poetry@v3.0.0
+        with:
+          poetry-version: $POETRY_VERSION
+
+      - name: Install dependencies
+        shell: bash
+        run: poetry self add setuptools && poetry run python -m pip install gensim && poetry install
+
+      - name: Check Semversioner
+        run: |
+          poetry run semversioner check
+
+      - name: Check
+        run: |
+          poetry run poe check
+
+      - name: Build
+        run: |
+          poetry build
+
+      - name: Install Azurite
+        id: azuright
+        uses: potatoqualitee/azuright@v1.1
+
+      - name: Unit Test
+        run: |
+          poetry run poe test_unit
+
+      - name: Integration Test
+        run: |
+          poetry run poe test_integration
+
+      - name: Smoke Test
+        if: steps.changes.outputs.python == 'true'
+        run: |
+          poetry run poe test_smoke
+
+      - uses: actions/upload-artifact@v4
+        if: always()
+        with:
+          name: smoke-test-artifacts-${{ matrix.python-version }}-${{ matrix.poetry-version }}-${{ runner.os }}
+          path: tests/fixtures/*/output
+
+      - name: E2E Test
+        if: steps.changes.outputs.python == 'true'
+        run: |
+          ./scripts/e2e-test.sh
diff --git a/graphrag/.github/workflows/python-publish.yml b/graphrag/.github/workflows/python-publish.yml
new file mode 100644
index 0000000000000000000000000000000000000000..b76d690564d164ffa842de5c0bbc0017322bf02b
--- /dev/null
+++ b/graphrag/.github/workflows/python-publish.yml
@@ -0,0 +1,52 @@
+name: Python Publish
+on:
+  release:
+    types: [created]
+  push:
+    branches: [main]
+
+env:
+  POETRY_VERSION: "1.8.3"
+  PYTHON_VERSION: "3.10"
+
+jobs:
+  publish:
+    name: Upload release to PyPI
+    if: github.ref == 'refs/heads/main'
+    runs-on: ubuntu-latest
+    environment:
+      name: pypi
+      url: https://pypi.org/p/graphrag
+    permissions:
+      id-token: write # IMPORTANT: this permission is mandatory for trusted publishing
+
+    steps:
+      - uses: actions/checkout@v4
+        with:
+          fetch-depth: 0
+          fetch-tags: true
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ env.PYTHON_VERSION }}
+
+      - name: Install Poetry
+        uses: abatilo/actions-poetry@v3.0.0
+        with:
+          poetry-version: ${{ env.POETRY_VERSION }}
+
+      - name: Install dependencies
+        shell: bash
+        run: poetry install
+
+      - name: Build Distributable
+        shell: bash
+        run: poetry build
+
+      - name: Publish package distributions to PyPI
+        uses: pypa/gh-action-pypi-publish@release/v1
+        with:
+          packages-dir: dist
+          skip-existing: true
+          verbose: true
diff --git a/graphrag/.github/workflows/semver.yml b/graphrag/.github/workflows/semver.yml
new file mode 100644
index 0000000000000000000000000000000000000000..139b759a4015b58d65f93ad074600f6b713e9384
--- /dev/null
+++ b/graphrag/.github/workflows/semver.yml
@@ -0,0 +1,15 @@
+name: Semver Check
+on:
+  pull_request:
+    branches: [main]
+
+jobs:
+    semver:
+        runs-on: ubuntu-latest
+        steps:
+        - uses: actions/checkout@v4
+          with:
+            fetch-depth: 0
+    
+        - name: Check Semver
+          run: ./scripts/semver-check.sh
\ No newline at end of file
diff --git a/graphrag/.github/workflows/spellcheck.yml b/graphrag/.github/workflows/spellcheck.yml
new file mode 100644
index 0000000000000000000000000000000000000000..bbf2be9dfc992a34845e8c858eece7b4d554b2d4
--- /dev/null
+++ b/graphrag/.github/workflows/spellcheck.yml
@@ -0,0 +1,15 @@
+name: Spellcheck
+on:
+  push:
+    branches: [main]
+  pull_request:
+    paths:
+      - '**/*'
+jobs:
+  spellcheck:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Spellcheck
+        run: ./scripts/spellcheck.sh
diff --git a/graphrag/.gitignore b/graphrag/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..bff8e24810d446d39878c2d1e71028b3a9299ed9
--- /dev/null
+++ b/graphrag/.gitignore
@@ -0,0 +1,68 @@
+# Node Artifacts
+*/node_modules/
+docsite/*/src/**/*.js
+docsite/*/lib/
+docsite/*/storybook-static/
+docsite/*/docsTemp/
+docsite/*/build/
+.swc/
+dist/
+.idea
+# https://yarnpkg.com/advanced/qa#which-files-should-be-gitignored
+docsite/.yarn/*
+!docsite/.yarn/patches
+!docsite/.yarn/releases
+!docsite/.yarn/plugins
+!docsite/.yarn/sdks
+!docsite/.yarn/versions
+docsite/.pnp.*
+
+.yarn/*
+!.yarn/patches
+!.yarn/releases
+!.yarn/plugins
+!.yarn/sdks
+!.yarn/versions
+.pnp.*
+
+# Python Artifacts
+python/*/lib/
+# Test Output
+.coverage
+coverage/
+licenses.txt
+examples_notebooks/*/lancedb
+examples_notebooks/*/data
+tests/fixtures/cache
+tests/fixtures/*/cache
+tests/fixtures/*/output
+lancedb/
+
+# Random
+.DS_Store
+*.log*
+.venv
+.conda
+.tmp
+
+
+.env
+build.zip
+
+.turbo
+
+__pycache__
+
+.pipeline
+
+# Azurite
+temp_azurite/
+__azurite*.json
+__blobstorage*.json
+__blobstorage__/
+
+# Getting started example
+ragtest/
+.ragtest/
+.pipelines
+.pipeline
\ No newline at end of file
diff --git a/graphrag/.semversioner/0.1.0.json b/graphrag/.semversioner/0.1.0.json
new file mode 100644
index 0000000000000000000000000000000000000000..d1551513affe03b851ae5b0513d370c7b24f470b
--- /dev/null
+++ b/graphrag/.semversioner/0.1.0.json
@@ -0,0 +1,10 @@
+{
+  "changes": [
+    {
+      "description": "Initial Release",
+      "type": "minor"
+    }
+  ],
+  "created_at": "2024-07-01T21:48:50+00:00",
+  "version": "0.1.0"
+}
\ No newline at end of file
diff --git a/graphrag/.semversioner/next-release/minor-20240710183748086411.json b/graphrag/.semversioner/next-release/minor-20240710183748086411.json
new file mode 100644
index 0000000000000000000000000000000000000000..8e0f3659ac74cd71f9254b0d4abc38b65cb2bb13
--- /dev/null
+++ b/graphrag/.semversioner/next-release/minor-20240710183748086411.json
@@ -0,0 +1,4 @@
+{
+  "type": "minor",
+  "description": "Add dynamic community report rating to the prompt tuning engine"
+}
diff --git a/graphrag/.semversioner/next-release/patch-20240701233152787373.json b/graphrag/.semversioner/next-release/patch-20240701233152787373.json
new file mode 100644
index 0000000000000000000000000000000000000000..d2b107511abaf1350626ee09a53682d85ec69f55
--- /dev/null
+++ b/graphrag/.semversioner/next-release/patch-20240701233152787373.json
@@ -0,0 +1,4 @@
+{
+  "type": "patch",
+  "description": "Fix docsite base url"
+}
diff --git a/graphrag/.semversioner/next-release/patch-20240703152422358587.json b/graphrag/.semversioner/next-release/patch-20240703152422358587.json
new file mode 100644
index 0000000000000000000000000000000000000000..37b415cc6d465642a429a03362d8bb595ae9eebd
--- /dev/null
+++ b/graphrag/.semversioner/next-release/patch-20240703152422358587.json
@@ -0,0 +1,4 @@
+{
+  "type": "patch",
+  "description": "Add cli flag to overlay default values onto a provided config."
+}
diff --git a/graphrag/.semversioner/next-release/patch-20240703182750529114.json b/graphrag/.semversioner/next-release/patch-20240703182750529114.json
new file mode 100644
index 0000000000000000000000000000000000000000..c36bb1f3b37a37a317df9bcb80b16cc5549a2e40
--- /dev/null
+++ b/graphrag/.semversioner/next-release/patch-20240703182750529114.json
@@ -0,0 +1,4 @@
+{
+  "type": "patch",
+  "description": "Fix broken prompt tuning link on docs"
+}
diff --git a/graphrag/.semversioner/next-release/patch-20240704181236015699.json b/graphrag/.semversioner/next-release/patch-20240704181236015699.json
new file mode 100644
index 0000000000000000000000000000000000000000..9e69b50c4be7d119dcf7463a543260e75fa6c7e2
--- /dev/null
+++ b/graphrag/.semversioner/next-release/patch-20240704181236015699.json
@@ -0,0 +1,4 @@
+{
+  "type": "patch",
+  "description": "Fix for --limit exceeding the dataframe lenght"
+}
diff --git a/graphrag/.semversioner/next-release/patch-20240705184142723331.json b/graphrag/.semversioner/next-release/patch-20240705184142723331.json
new file mode 100644
index 0000000000000000000000000000000000000000..8f4b32e9eaaac5eb9d395edf4cfac817991537b5
--- /dev/null
+++ b/graphrag/.semversioner/next-release/patch-20240705184142723331.json
@@ -0,0 +1,4 @@
+{
+  "type": "patch",
+  "description": "Add Minute-based Rate Limiting and fix rpm, tpm settings"
+}
diff --git a/graphrag/.semversioner/next-release/patch-20240705235656897489.json b/graphrag/.semversioner/next-release/patch-20240705235656897489.json
new file mode 100644
index 0000000000000000000000000000000000000000..bb76d7081560d5fa3380f8863790b466a4918787
--- /dev/null
+++ b/graphrag/.semversioner/next-release/patch-20240705235656897489.json
@@ -0,0 +1,4 @@
+{
+  "type": "patch",
+  "description": "Add N parameter support"
+}
diff --git a/graphrag/.semversioner/next-release/patch-20240707063053679262.json b/graphrag/.semversioner/next-release/patch-20240707063053679262.json
new file mode 100644
index 0000000000000000000000000000000000000000..51ebbc3ad182a416a68da5ca2be204133c693be2
--- /dev/null
+++ b/graphrag/.semversioner/next-release/patch-20240707063053679262.json
@@ -0,0 +1,4 @@
+{
+  "type": "patch",
+  "description": "fix community_report doesn't work in settings.yaml"
+}
diff --git a/graphrag/.semversioner/next-release/patch-20240709225514193665.json b/graphrag/.semversioner/next-release/patch-20240709225514193665.json
new file mode 100644
index 0000000000000000000000000000000000000000..dd8d6eecdf4df1686a4df7cfbe9bb689bf919baa
--- /dev/null
+++ b/graphrag/.semversioner/next-release/patch-20240709225514193665.json
@@ -0,0 +1,4 @@
+{
+  "type": "patch",
+  "description": "Add language support to prompt tuning"
+}
diff --git a/graphrag/.semversioner/next-release/patch-20240710114442871595.json b/graphrag/.semversioner/next-release/patch-20240710114442871595.json
new file mode 100644
index 0000000000000000000000000000000000000000..ccdf7d9a718fc95d5404eec96e1032e7eb007bfb
--- /dev/null
+++ b/graphrag/.semversioner/next-release/patch-20240710114442871595.json
@@ -0,0 +1,4 @@
+{
+  "type": "patch",
+  "description": "Modify defaults for CHUNK_SIZE, CHUNK_OVERLAP and GLEANINGS to reduce time and LLM calls"
+}
diff --git a/graphrag/.semversioner/next-release/patch-20240710165603516866.json b/graphrag/.semversioner/next-release/patch-20240710165603516866.json
new file mode 100644
index 0000000000000000000000000000000000000000..b5066cf1360f7ba9546b59441409b2df0310c86b
--- /dev/null
+++ b/graphrag/.semversioner/next-release/patch-20240710165603516866.json
@@ -0,0 +1,4 @@
+{
+  "type": "patch",
+  "description": "Fixed an issue where base OpenAI embeddings can't work with Azure OpenAI LLM"
+}
diff --git a/graphrag/.semversioner/next-release/patch-20240711004716103302.json b/graphrag/.semversioner/next-release/patch-20240711004716103302.json
new file mode 100644
index 0000000000000000000000000000000000000000..d912ee411975904810f89c0bf96adf076fd225f8
--- /dev/null
+++ b/graphrag/.semversioner/next-release/patch-20240711004716103302.json
@@ -0,0 +1,4 @@
+{
+  "type": "patch",
+  "description": "Fix encoding model parameter on prompt tune"
+}
diff --git a/graphrag/.semversioner/next-release/patch-20240711092703710242.json b/graphrag/.semversioner/next-release/patch-20240711092703710242.json
new file mode 100644
index 0000000000000000000000000000000000000000..7868b33b56e0cda10ed51b7a42e49064a1a83ea4
--- /dev/null
+++ b/graphrag/.semversioner/next-release/patch-20240711092703710242.json
@@ -0,0 +1,4 @@
+{
+  "type": "patch",
+  "description": "support non-open ai model config to prompt tune"
+}
diff --git a/graphrag/.semversioner/next-release/patch-20240711223132221685.json b/graphrag/.semversioner/next-release/patch-20240711223132221685.json
new file mode 100644
index 0000000000000000000000000000000000000000..130b65ba5607295b574f4dfb5b2a70c002a6cd54
--- /dev/null
+++ b/graphrag/.semversioner/next-release/patch-20240711223132221685.json
@@ -0,0 +1,4 @@
+{
+  "type": "patch",
+  "description": "Fix delta none on query calls"
+}
diff --git a/graphrag/.semversioner/next-release/patch-20240712035356859335.json b/graphrag/.semversioner/next-release/patch-20240712035356859335.json
new file mode 100644
index 0000000000000000000000000000000000000000..01e3d9a90268524703c43aa44398828fcaeb811b
--- /dev/null
+++ b/graphrag/.semversioner/next-release/patch-20240712035356859335.json
@@ -0,0 +1,4 @@
+{
+  "type": "patch",
+  "description": "fix llm response content is None in query"
+}
diff --git a/graphrag/.semversioner/next-release/patch-20240712210400518089.json b/graphrag/.semversioner/next-release/patch-20240712210400518089.json
new file mode 100644
index 0000000000000000000000000000000000000000..4cb39affd665e2dd29b9fb317c3d7761858cd4af
--- /dev/null
+++ b/graphrag/.semversioner/next-release/patch-20240712210400518089.json
@@ -0,0 +1,4 @@
+{
+  "type": "patch",
+  "description": "Add exception handling on file load"
+}
diff --git a/graphrag/.semversioner/next-release/patch-20240712235357550877.json b/graphrag/.semversioner/next-release/patch-20240712235357550877.json
new file mode 100644
index 0000000000000000000000000000000000000000..818d609809671b2a2155a7b4dbc536d457eefd0f
--- /dev/null
+++ b/graphrag/.semversioner/next-release/patch-20240712235357550877.json
@@ -0,0 +1,4 @@
+{
+  "type": "patch",
+  "description": "Add llm params to local and global search"
+}
diff --git a/graphrag/.semversioner/next-release/patch-20240716225953784804.json b/graphrag/.semversioner/next-release/patch-20240716225953784804.json
new file mode 100644
index 0000000000000000000000000000000000000000..f818ce537609e489f137b0ef4eaca7e19173269a
--- /dev/null
+++ b/graphrag/.semversioner/next-release/patch-20240716225953784804.json
@@ -0,0 +1,4 @@
+{
+  "type": "patch",
+  "description": "Fix for Ruff 0.5.2"
+}
\ No newline at end of file
diff --git a/graphrag/.vsts-ci.yml b/graphrag/.vsts-ci.yml
new file mode 100644
index 0000000000000000000000000000000000000000..2a1e0964ce770b13923d8c0525d073c03f0d787d
--- /dev/null
+++ b/graphrag/.vsts-ci.yml
@@ -0,0 +1,41 @@
+name: GraphRAG CI
+pool:
+  vmImage: ubuntu-latest
+
+trigger:
+  batch: true
+  branches:
+    include:
+      - main
+
+variables:
+  isMain: $[eq(variables['Build.SourceBranch'], 'refs/heads/main')]
+  pythonVersion: "3.10"
+  poetryVersion: "1.6.1"
+  nodeVersion: "18.x"
+  artifactsFullFeedName: "Resilience/resilience_python"
+
+stages:
+  - stage: Compliance
+    dependsOn: []
+    jobs:
+      - job: compliance
+        displayName: Compliance
+        pool:
+          vmImage: windows-latest
+        steps:
+          - task: CredScan@3
+            inputs:
+              outputFormat: sarif
+              debugMode: false
+
+          - task: ComponentGovernanceComponentDetection@0
+            inputs:
+              scanType: "Register"
+              verbosity: "Verbose"
+              alertWarningLevel: "High"
+
+          - task: PublishSecurityAnalysisLogs@3
+            inputs:
+              ArtifactName: "CodeAnalysisLogs"
+              ArtifactType: "Container"
\ No newline at end of file
diff --git a/graphrag/CODEOWNERS b/graphrag/CODEOWNERS
new file mode 100644
index 0000000000000000000000000000000000000000..47b118f4d84319f003648372580e2dc22f55056b
--- /dev/null
+++ b/graphrag/CODEOWNERS
@@ -0,0 +1,6 @@
+# These owners will be the default owners for everything in
+# the repo. Unless a later match takes precedence,
+# @global-owner1 and @global-owner2 will be requested for
+# review when someone opens a pull request.
+*       @microsoft/societal-resilience
+*       @microsoft/graphrag-core-team
diff --git a/graphrag/CODE_OF_CONDUCT.md b/graphrag/CODE_OF_CONDUCT.md
new file mode 100644
index 0000000000000000000000000000000000000000..f9ba8cf65f3e3104dd061c178066ec8247811f33
--- /dev/null
+++ b/graphrag/CODE_OF_CONDUCT.md
@@ -0,0 +1,9 @@
+# Microsoft Open Source Code of Conduct
+
+This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
+
+Resources:
+
+- [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/)
+- [Microsoft Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/)
+- Contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with questions or concerns
diff --git a/graphrag/CONTRIBUTING.md b/graphrag/CONTRIBUTING.md
new file mode 100644
index 0000000000000000000000000000000000000000..5f01e4bc362910523d8701379274c66685669733
--- /dev/null
+++ b/graphrag/CONTRIBUTING.md
@@ -0,0 +1,79 @@
+# Contributing to GraphRAG
+
+Thank you for your interest in contributing to GraphRAG! We welcome contributions from the community to help improve the project.
+
+## Code of Conduct
+
+This project welcomes contributions and suggestions. Most contributions require you to agree to a Contributor License Agreement (CLA)
+declaring that you have the right to, and actually do, grant us the rights to use your contribution.
+For details, visit https://cla.microsoft.com.
+
+When you submit a pull request, a CLA-bot will automatically determine whether you need
+to provide a CLA and decorate the PR appropriately (e.g., label, comment). Simply follow the
+instructions provided by the bot. You will only need to do this once across all repositories using our CLA.
+
+This project has adopted the [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct/).
+For more information see the [Code of Conduct FAQ](https://opensource.microsoft.com/codeofconduct/faq/)
+or contact [opencode@microsoft.com](mailto:opencode@microsoft.com) with any additional questions or comments.
+
+## How to Contribute
+
+1. Fork the repository and clone it to your local machine.
+2. Create a new branch for your contribution: `git checkout -b my-contribution`.
+3. Make your changes and ensure that the code passes all tests.
+4. Commit your changes: `git commit -m "Add my contribution"`.
+5. Create and commit a semver impact document by running `poetry run semversioner add-change -t <major|minor|patch> -d <description>`.
+6. Push your changes to your forked repository: `git push origin my-contribution`.
+7. Open a pull request to the main repository.
+
+## Reporting Security Issues
+
+**Please do not report security vulnerabilities through public GitHub issues.** Instead, please report them to the Microsoft Security Response Center (MSRC).
+See [SECURITY.md](./SECURITY.md) for more information.
+
+## Before you start, file an issue
+
+Please follow this simple rule to help us eliminate any unnecessary wasted effort & frustration, and ensure an efficient and effective use of everyone's time - yours, ours, and other community members':
+
+> 👉 If you have a question, think you've discovered an issue, would like to propose a new feature, etc., then find/file an issue **BEFORE** starting work to fix/implement it.
+
+### Search existing issues first
+
+Before filing a new issue, search existing open and closed issues first: This project is moving fast! It is likely someone else has found the problem you're seeing, and someone may be working on or have already contributed a fix!
+
+If no existing item describes your issue/feature, great - please file a new issue:
+
+### File a new Issue
+
+- Don't know whether you're reporting an issue or requesting a feature? File an issue
+- Have a question that you don't see answered in docs, videos, etc.? File an issue
+- Want to know if we're planning on building a particular feature? File an issue
+- Got a great idea for a new feature? File an issue/request/idea
+- Don't understand how to do something? File an issue
+- Found an existing issue that describes yours? Great - upvote and add additional commentary / info / repro-steps / etc.
+
+If from the previous guide you find yourself in the need of file an Issue please use the [issue tracker](https://github.com/microsoft/graphrag/issues).
+Provide as much detail as possible to help us understand and address the problem.
+
+### Add information
+
+**Complete the new Issue form, providing as much information as possible**. The more information you provide, the more likely your issue/ask will be understood and implemented. Helpful information includes:
+
+- What device you're running (inc. CPU type, memory, disk, etc.)
+- What OS your device is running
+- What tools and apps you're using (e.g. VS 2022, VSCode, etc.)
+- **We LOVE detailed repro steps!** What steps do we need to take to reproduce the issue? Assume we love to read repro steps. As much detail as you can stand is probably _barely_ enough detail for us!
+- Prefer error message text where possible or screenshots of errors if text cannot be captured
+- **If you intend to implement the fix/feature yourself then say so!** If you do not indicate otherwise we will assume that the issue is our to solve, or may label the issue as `Help-Wanted`.
+
+### DO NOT post "+1" comments
+
+> ⚠ DO NOT post "+1", "me too", or similar comments - they just add noise to an issue.
+
+If you don't have any additional info/context to add but would like to indicate that you're affected by the issue, upvote the original issue by clicking its [+😊] button and hitting 👍 (+1) icon. This way we can actually measure how impactful an issue is.
+
+---
+
+## Thank you
+
+We appreciate your contributions to GraphRAG!
diff --git a/graphrag/DEVELOPING.md b/graphrag/DEVELOPING.md
new file mode 100644
index 0000000000000000000000000000000000000000..dd1763efa9c3be217414dbb9a8a0c7fc79efc7cd
--- /dev/null
+++ b/graphrag/DEVELOPING.md
@@ -0,0 +1,85 @@
+# GraphRAG Development
+
+# Requirements
+
+| Name                | Installation                                                 | Purpose                                                                             |
+| ------------------- | ------------------------------------------------------------ | ----------------------------------------------------------------------------------- |
+| Python 3.10 or 3.11 | [Download](https://www.python.org/downloads/)                | The library is Python-based.                                                        |
+| Poetry              | [Instructions](https://python-poetry.org/docs/#installation) | Poetry is used for package management and virtualenv management in Python codebases |
+
+# Getting Started
+
+## Install Dependencies
+
+```sh
+# Install Python dependencies.
+poetry install
+```
+
+## Execute the Indexing Engine
+
+```sh
+poetry run poe index <...args>
+```
+
+## Executing Queries
+
+```sh
+poetry run poe query <...args>
+```
+
+# Azurite
+
+Some unit and smoke tests use Azurite to emulate Azure resources. This can be started by running:
+
+```sh
+./scripts/start-azurite.sh
+```
+
+or by simply running `azurite` in the terminal if already installed globally. See the [Azurite documentation](https://learn.microsoft.com/en-us/azure/storage/common/storage-use-azurite) for more information about how to install and use Azurite.
+
+# Lifecycle Scripts
+
+Our Python package utilizes Poetry to manage dependencies and [poethepoet](https://pypi.org/project/poethepoet/) to manage build scripts.
+
+Available scripts are:
+
+- `poetry run poe index` - Run the Indexing CLI
+- `poetry run poe query` - Run the Query CLI
+- `poetry build` - This invokes `poetry build`, which will build a wheel file and other distributable artifacts.
+- `poetry run poe test` - This will execute all tests.
+- `poetry run poe test_unit` - This will execute unit tests.
+- `poetry run poe test_integration` - This will execute integration tests.
+- `poetry run poe test_smoke` - This will execute smoke tests.
+- `poetry run poe check` - This will perform a suite of static checks across the package, including:
+  - formatting
+  - documentation formatting
+  - linting
+  - security patterns
+  - type-checking
+- `poetry run poe fix` - This will apply any available auto-fixes to the package. Usually this is just formatting fixes.
+- `poetry run poe fix_unsafe` - This will apply any available auto-fixes to the package, including those that may be unsafe.
+- `poetry run poe format` - Explicitly run the formatter across the package.
+
+## Troubleshooting
+
+### "RuntimeError: llvm-config failed executing, please point LLVM_CONFIG to the path for llvm-config" when running poetry install
+
+Make sure llvm-9 and llvm-9-dev are installed:
+
+`sudo apt-get install llvm-9 llvm-9-dev`
+
+and then in your bashrc, add
+
+`export LLVM_CONFIG=/usr/bin/llvm-config-9`
+
+### "numba/\_pymodule.h:6:10: fatal error: Python.h: No such file or directory" when running poetry install
+
+Make sure you have python3.10-dev installed or more generally `python<version>-dev`
+
+`sudo apt-get install python3.10-dev`
+
+### LLM call constantly exceeds TPM, RPM or time limits
+
+`GRAPHRAG_LLM_THREAD_COUNT` and `GRAPHRAG_EMBEDDING_THREAD_COUNT` are both set to 50 by default. You can modify this values
+to reduce concurrency. Please refer to the [Configuration Documents](https://microsoft.github.io/graphrag/posts/config/overview/)
diff --git a/graphrag/LICENSE b/graphrag/LICENSE
new file mode 100644
index 0000000000000000000000000000000000000000..9e841e7a26e4eb057b24511e7b92d42b257a80e5
--- /dev/null
+++ b/graphrag/LICENSE
@@ -0,0 +1,21 @@
+    MIT License
+
+    Copyright (c) Microsoft Corporation.
+
+    Permission is hereby granted, free of charge, to any person obtaining a copy
+    of this software and associated documentation files (the "Software"), to deal
+    in the Software without restriction, including without limitation the rights
+    to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+    copies of the Software, and to permit persons to whom the Software is
+    furnished to do so, subject to the following conditions:
+
+    The above copyright notice and this permission notice shall be included in all
+    copies or substantial portions of the Software.
+
+    THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+    IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+    FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+    AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+    LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+    OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+    SOFTWARE
diff --git a/graphrag/RAI_TRANSPARENCY.md b/graphrag/RAI_TRANSPARENCY.md
new file mode 100644
index 0000000000000000000000000000000000000000..1a789aede716938549844fbbf74ede0646828896
--- /dev/null
+++ b/graphrag/RAI_TRANSPARENCY.md
@@ -0,0 +1,41 @@
+# GraphRAG: Responsible AI FAQ 
+
+## What is GraphRAG? 
+
+GraphRAG is an AI-based content interpretation and search capability. Using LLMs, it parses data to create a knowledge graph and answer user questions about a user-provided private dataset. 
+
+## What can GraphRAG do?  
+
+GraphRAG is able to connect information across large volumes of information and use these connections to answer questions that are difficult or impossible to answer using keyword and vector-based search mechanisms. Building on the previous question, provide semi-technical, high-level information on how the system offers functionality for various uses.  This lets a system using GraphRAG to answer questions where the answers span many documents as well as thematic questions such as “what are the top themes in this dataset?.”
+
+## What are GraphRAG’s intended use(s)? 
+
+* GraphRAG is intended to support critical information discovery and analysis use cases where the information required to arrive at a useful insight spans many documents, is noisy, is mixed with mis and/or dis-information, or when the questions users aim to answer are more abstract or thematic than the underlying data can directly answer. 
+* GraphRAG is designed to be used in settings where users are already trained on responsible analytic approaches and critical reasoning is expected. GraphRAG is capable of providing high degrees of insight on complex information topics, however human analysis by a domain expert of the answers is needed in order to verify and augment GraphRAG’s generated responses. 
+* GraphRAG is intended to be deployed and used with a domain specific corpus of text data. GraphRAG itself does not collect user data, but users are encouraged to verify data privacy policies of the chosen LLM used to configure GraphRAG. 
+
+## How was GraphRAG evaluated? What metrics are used to measure performance? 
+
+GraphRAG has been evaluated in multiple ways.  The primary concerns are 1) accurate representation of the data set, 2) providing transparency and  groundedness of responses, 3) resilience to prompt and data corpus injection attacks, and 4) low hallucination rates.  Details on how each of these has been evaluated is outlined below by number. 
+
+1) Accurate representation of the dataset has been tested by both manual inspection and automated testing against a “gold answer” that is created from randomly selected subsets of a test corpus. 
+
+2) Transparency and groundedness of responses is tested via automated answer coverage evaluation and human inspection of the underlying context returned.  
+
+3) We test both user prompt injection attacks (“jailbreaks”) and cross prompt injection attacks (“data attacks”) using manual and semi-automated techniques. 
+
+4) Hallucination rates are evaluated using claim coverage metrics, manual inspection of answer and source, and adversarial attacks to attempt a forced hallucination through adversarial and exceptionally challenging datasets. 
+
+## What are the limitations of GraphRAG? How can users minimize the impact of GraphRAG’s limitations when using the system? 
+
+GraphRAG depends on a well-constructed indexing examples.  For general applications (e.g. content oriented around people, places, organizations, things, etc.) we provide example indexing prompts. For unique datasets effective indexing can depend on proper identification of domain-specific concepts.   
+
+Indexing is a relatively expensive operation; a best practice to mitigate indexing is to create a small test dataset in the target domain to ensure indexer performance prior to large indexing operations. 
+
+## What operational factors and settings allow for effective and responsible use of GraphRAG? 
+
+GraphRAG is designed for use by users with domain sophistication and experience working through difficult information challenges.  While the approach is generally robust to injection attacks and identifying conflicting sources of information, the system is designed for trusted users. Proper human analysis of responses is important to generate reliable insights, and the provenance of information should be traced to ensure human agreement with the inferences made as part of the answer generation. 
+
+GraphRAG yields the most effective results on natural language text data that is collectively focused on an overall topic or theme, and that is entity rich – entities being people, places, things, or objects that can be uniquely identified. 
+
+While GraphRAG has been evaluated for its resilience to prompt and data corpus injection attacks, and has been probed for specific types of harms, the LLM that the user configures with GraphRAG may produce inappropriate or offensive content, which may make it inappropriate to deploy for sensitive contexts without additional mitigations that are specific to the use case and model. Developers should assess outputs for their context and use available safety classifiers, model specific safety filters and features (such as https://azure.microsoft.com/en-us/products/ai-services/ai-content-safety), or custom solutions appropriate for their use case. 
\ No newline at end of file
diff --git a/graphrag/README.md b/graphrag/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..e60cb56fa43a1e0eed7992809348ccc03ee2986f
--- /dev/null
+++ b/graphrag/README.md
@@ -0,0 +1,71 @@
+# GraphRAG
+
+👉 [Use the GraphRAG Accelerator solution](https://github.com/Azure-Samples/graphrag-accelerator) <br/>
+👉 [Microsoft Research Blog Post](https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/)<br/>
+👉 [Read the docs](https://microsoft.github.io/graphrag)<br/>
+👉 [GraphRAG Arxiv](https://arxiv.org/pdf/2404.16130)
+
+<div align="left">
+  <a href="https://pypi.org/project/graphrag/">
+    <img alt="PyPI - Version" src="https://img.shields.io/pypi/v/graphrag">
+  </a>
+  <a href="https://pypi.org/project/graphrag/">
+    <img alt="PyPI - Downloads" src="https://img.shields.io/pypi/dm/graphrag">
+  </a>
+  <a href="https://github.com/microsoft/graphrag/issues">
+    <img alt="GitHub Issues" src="https://img.shields.io/github/issues/microsoft/graphrag">
+  </a>
+  <a href="https://github.com/microsoft/graphrag/discussions">
+    <img alt="GitHub Discussions" src="https://img.shields.io/github/discussions/microsoft/graphrag">
+  </a>
+</div>
+
+## Overview
+
+The GraphRAG project is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using the power of LLMs.
+
+To learn more about GraphRAG and how it can be used to enhance your LLMs ability to reason about your private data, please visit the <a href="https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/" target="_blank">Microsoft Research Blog Post.</a>
+
+## Quickstart
+
+To get started with the GraphRAG system we recommend trying the [Solution Accelerator](https://github.com/Azure-Samples/graphrag-accelerator) package. This provides a user-friendly end-to-end experience with Azure resources.
+
+## Repository Guidance
+
+This repository presents a methodology for using knowledge graph memory structures to enhance LLM outputs. Please note that the provided code serves as a demonstration and is not an officially supported Microsoft offering.
+
+⚠️ *Warning: GraphRAG indexing can be an expensive operation, please read all of the documentation to understand the process and costs involved, and start small.*
+
+## Diving Deeper
+
+- To learn about our contribution guidelines, see [CONTRIBUTING.md](./CONTRIBUTING.md)
+- To start developing _GraphRAG_, see [DEVELOPING.md](./DEVELOPING.md)
+- Join the conversation and provide feedback in the [GitHub Discussions tab!](https://github.com/microsoft/graphrag/discussions)
+
+## Prompt Tuning
+
+Using _GraphRAG_ with your data out of the box may not yield the best possible results.
+We strongly recommend to fine-tune your prompts following the [Prompt Tuning Guide](https://microsoft.github.io/graphrag/posts/prompt_tuning/overview/) in our documentation.
+
+## Responsible AI FAQ
+
+See [RAI_TRANSPARENCY.md](./RAI_TRANSPARENCY.md)
+
+- [What is GraphRAG?](./RAI_TRANSPARENCY.md#what-is-graphrag)
+- [What can GraphRAG do?](./RAI_TRANSPARENCY.md#what-can-graphrag-do)
+- [What are GraphRAG’s intended use(s)?](./RAI_TRANSPARENCY.md#what-are-graphrags-intended-uses)
+- [How was GraphRAG evaluated? What metrics are used to measure performance?](./RAI_TRANSPARENCY.md#how-was-graphrag-evaluated-what-metrics-are-used-to-measure-performance)
+- [What are the limitations of GraphRAG? How can users minimize the impact of GraphRAG’s limitations when using the system?](./RAI_TRANSPARENCY.md#what-are-the-limitations-of-graphrag-how-can-users-minimize-the-impact-of-graphrags-limitations-when-using-the-system)
+- [What operational factors and settings allow for effective and responsible use of GraphRAG?](./RAI_TRANSPARENCY.md#what-operational-factors-and-settings-allow-for-effective-and-responsible-use-of-graphrag)
+
+## Trademarks
+
+This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft
+trademarks or logos is subject to and must follow
+[Microsoft's Trademark & Brand Guidelines](https://www.microsoft.com/en-us/legal/intellectualproperty/trademarks/usage/general).
+Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship.
+Any use of third-party trademarks or logos are subject to those third-party's policies.
+
+## Privacy
+
+[Microsoft Privacy Statement](https://privacy.microsoft.com/en-us/privacystatement)
diff --git a/graphrag/SECURITY.md b/graphrag/SECURITY.md
new file mode 100644
index 0000000000000000000000000000000000000000..e5c7ae541b5634d57d75ffaaf2841c58b708f867
--- /dev/null
+++ b/graphrag/SECURITY.md
@@ -0,0 +1,37 @@
+## Security
+
+Microsoft takes the security of our software products and services seriously, which includes all source code repositories managed through our GitHub organizations, which include [Microsoft](https://github.com/Microsoft), [Azure](https://github.com/Azure), [DotNet](https://github.com/dotnet), [AspNet](https://github.com/aspnet), [Xamarin](https://github.com/xamarin), and [our GitHub organizations](https://opensource.microsoft.com/).
+
+If you believe you have found a security vulnerability in any Microsoft-owned repository that meets [Microsoft's definition of a security vulnerability](https://docs.microsoft.com/en-us/previous-versions/tn-archive/cc751383(v=technet.10)), please report it to us as described below.
+
+## Reporting Security Issues
+
+**Please do not report security vulnerabilities through public GitHub issues.**
+
+Instead, please report them to the Microsoft Security Response Center (MSRC) at [https://msrc.microsoft.com/create-report](https://msrc.microsoft.com/create-report).
+
+If you prefer to submit without logging in, send email to [secure@microsoft.com](mailto:secure@microsoft.com).  If possible, encrypt your message with our PGP key; please download it from the [Microsoft Security Response Center PGP Key page](https://www.microsoft.com/en-us/msrc/pgp-key-msrc).
+
+You should receive a response within 24 hours. If for some reason you do not, please follow up via email to ensure we received your original message. Additional information can be found at [microsoft.com/msrc](https://www.microsoft.com/msrc). 
+
+Please include the requested information listed below (as much as you can provide) to help us better understand the nature and scope of the possible issue:
+
+  * Type of issue (e.g. buffer overflow, SQL injection, cross-site scripting, etc.)
+  * Full paths of source file(s) related to the manifestation of the issue
+  * The location of the affected source code (tag/branch/commit or direct URL)
+  * Any special configuration required to reproduce the issue
+  * Step-by-step instructions to reproduce the issue
+  * Proof-of-concept or exploit code (if possible)
+  * Impact of the issue, including how an attacker might exploit the issue
+
+This information will help us triage your report more quickly.
+
+If you are reporting for a bug bounty, more complete reports can contribute to a higher bounty award. Please visit our [Microsoft Bug Bounty Program](https://microsoft.com/msrc/bounty) page for more details about our active programs.
+
+## Preferred Languages
+
+We prefer all communications to be in English.
+
+## Policy
+
+Microsoft follows the principle of [Coordinated Vulnerability Disclosure](https://www.microsoft.com/en-us/msrc/cvd).
\ No newline at end of file
diff --git a/graphrag/SUPPORT.md b/graphrag/SUPPORT.md
new file mode 100644
index 0000000000000000000000000000000000000000..2c18260cf9df61cb1de14f127373f2d36e155f93
--- /dev/null
+++ b/graphrag/SUPPORT.md
@@ -0,0 +1,27 @@
+# Support
+
+## How to file issues and get help
+
+This project uses GitHub Issues to track bugs and feature requests. Please search the existing
+issues before filing new issues to avoid duplicates. For new issues, file your bug or
+feature request as a new Issue.
+
+For help and questions about using this project, please create a GitHub issue with your question.
+
+## Microsoft Support Policy
+
+# Support for this **PROJECT or PRODUCT** is limited to the resources listed above.
+
+# Support
+
+## How to file issues and get help
+
+This project uses GitHub Issues to track bugs and feature requests. Please search the existing
+issues before filing new issues to avoid duplicates. For new issues, file your bug or
+feature request as a new Issue.
+
+For help and questions about using this project, please file an issue on the repo.
+
+## Microsoft Support Policy
+
+Support for this project is limited to the resources listed above.
diff --git a/graphrag/cspell.config.yaml b/graphrag/cspell.config.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..daa90e48256f299f8a1d1fa78c1ce46922c9c2fd
--- /dev/null
+++ b/graphrag/cspell.config.yaml
@@ -0,0 +1,33 @@
+$schema: https://raw.githubusercontent.com/streetsidesoftware/cspell/main/cspell.schema.json
+version: "0.2"
+allowCompoundWords: true
+dictionaryDefinitions:
+  - name: dictionary
+    path: "./dictionary.txt"
+    addWords: true
+dictionaries:
+  - dictionary
+ignorePaths:
+  - cspell.config.yaml
+  - node_modules
+  - _site
+  - /project-words.txt
+  - default_pipeline.yml
+  - .turbo
+  - output/
+  - dist/
+  - temp_azurite/
+  - __pycache__
+  - pyproject.toml
+  - entity_extraction.txt
+  - package.json
+  - tests/fixtures/
+  - docsite/data/
+  - docsite/nbdocsite_template/
+  - docsite/posts/query/notebooks/inputs/
+  - examples_notebooks/inputs/
+  - "*.csv"
+  - "*.parquet"
+  - "*.faiss"
+  - "*.ipynb"
+  - "*.log"
diff --git a/graphrag/dictionary.txt b/graphrag/dictionary.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f1cb4ce1921c91cdd4b31666abb8b4c5a8706f34
--- /dev/null
+++ b/graphrag/dictionary.txt
@@ -0,0 +1,146 @@
+# Team
+Alonso
+
+# Pythonisms
+PYTHONPATH
+pycache
+nopython
+virtualenv
+Pythonisms
+pyproject
+ipynb
+pymodule
+virtualenv
+virtualenvs
+signum
+ospath
+msecs
+asdict
+isna
+getcwd
+fillna
+noqa
+
+# Azure
+abfs
+Hnsw
+odata
+
+# NLTK Terms
+chunker
+wordnet
+maxent
+punkt
+
+# Libraries
+Langchain
+networkx
+graspologic
+graphml
+dataframe
+dataframes
+nltk
+datashaper
+numba
+graphintelligence
+dotenv
+tiktoken
+pydantic
+faiss
+pyarrow
+pyaml
+Chakra
+poethepoet
+pyodbc
+lancedb
+httpx
+pymongo
+uvloop
+aiofiles
+asyncio
+numpy
+pypi
+nbformat
+semversioner
+
+# Library Methods
+iterrows
+rprint
+ndarray
+nprobe
+astype
+monkeypatches
+nlist
+ntotal
+quantizer
+arun
+tiktokens
+dtype
+linewidths
+asearch
+iloc
+itertuples
+isin
+nocache
+nbconvert
+
+# Verbs
+binarize
+prechunked
+openai
+genid
+umap
+concat
+unhot
+groupby
+retryer
+agenerate
+aembed
+dedupe
+
+# LLM Terms
+AOAI
+embedder
+llm
+llms
+
+# Galaxy-Brain Terms
+Unipartite
+idempotently
+covariate
+covariates
+logit
+confusors
+
+# Charting
+plottable
+scatterplot
+
+# Resilience Team Terms
+megapipeline
+columnwise
+docstore
+datasource
+devcontainers
+codebases
+
+# Microsoft
+MSRC
+
+# Broken Upstream
+# TODO FIX IN DATASHAPER
+Arrary
+
+# Prompt Inputs
+dulce
+Asadi
+ABILA
+Abila
+POKRALLY
+
+# English
+skippable
+upvote
+
+# Misc
+Arxiv
diff --git a/graphrag/docsite/.eleventy.js b/graphrag/docsite/.eleventy.js
new file mode 100644
index 0000000000000000000000000000000000000000..11141917f355a112fe77e8b80a9651be90079d1b
--- /dev/null
+++ b/graphrag/docsite/.eleventy.js
@@ -0,0 +1,25 @@
+const { EleventyHtmlBasePlugin } = require("@11ty/eleventy");
+const syntaxHighlight = require("@11ty/eleventy-plugin-syntaxhighlight");
+const codeClipboard = require("eleventy-plugin-code-clipboard");
+const pluginMermaid = require("@kevingimbel/eleventy-plugin-mermaid");
+const markdownIt = require('markdown-it');
+
+module.exports = (eleventyConfig) => {
+  eleventyConfig.addPlugin(syntaxHighlight);
+  eleventyConfig.addPlugin(codeClipboard);
+  eleventyConfig.addPlugin(pluginMermaid);
+	eleventyConfig.addPlugin(EleventyHtmlBasePlugin, {
+    baseHref: process.env.DOCSITE_BASE_URL || ""
+  });
+  eleventyConfig.addPassthroughCopy("data");
+  eleventyConfig.addPassthroughCopy("img");
+  // Ignore auto-generated content
+  eleventyConfig.setUseGitIgnore(false);
+
+  const markdownLibrary = markdownIt({
+    html: true
+  }).use(codeClipboard.markdownItCopyButton);
+  
+  eleventyConfig.setLibrary("md", markdownLibrary);
+
+};
\ No newline at end of file
diff --git a/graphrag/docsite/.eleventyignore b/graphrag/docsite/.eleventyignore
new file mode 100644
index 0000000000000000000000000000000000000000..f4c3c5d9185cad65c1bccce9ffd918d40f93edf1
--- /dev/null
+++ b/graphrag/docsite/.eleventyignore
@@ -0,0 +1,2 @@
+!posts/index/verbs/*.md
+!posts/index/workflows/*.md
diff --git a/graphrag/docsite/.gitignore b/graphrag/docsite/.gitignore
new file mode 100644
index 0000000000000000000000000000000000000000..845c745ab60fc9cefa7f39d32457f02f55185f8e
--- /dev/null
+++ b/graphrag/docsite/.gitignore
@@ -0,0 +1,6 @@
+_site
+_posts
+posts/query/notebooks/*.ipynb
+posts/query/notebooks/*_nb.md
+*.parquet
+*.zip
\ No newline at end of file
diff --git a/graphrag/docsite/.yarn/releases/yarn-4.0.2.cjs b/graphrag/docsite/.yarn/releases/yarn-4.0.2.cjs
new file mode 100644
index 0000000000000000000000000000000000000000..f12c120ed1392adb0b6ba8e48a276fb91f502b18
--- /dev/null
+++ b/graphrag/docsite/.yarn/releases/yarn-4.0.2.cjs
@@ -0,0 +1,893 @@
+#!/usr/bin/env node
+/* eslint-disable */
+//prettier-ignore
+(()=>{var n_e=Object.create;var MT=Object.defineProperty;var i_e=Object.getOwnPropertyDescriptor;var s_e=Object.getOwnPropertyNames;var o_e=Object.getPrototypeOf,a_e=Object.prototype.hasOwnProperty;var Be=(t=>typeof require<"u"?require:typeof Proxy<"u"?new Proxy(t,{get:(e,r)=>(typeof require<"u"?require:e)[r]}):t)(function(t){if(typeof require<"u")return require.apply(this,arguments);throw new Error('Dynamic require of "'+t+'" is not supported')});var Et=(t,e)=>()=>(t&&(e=t(t=0)),e);var _=(t,e)=>()=>(e||t((e={exports:{}}).exports,e),e.exports),Kt=(t,e)=>{for(var r in e)MT(t,r,{get:e[r],enumerable:!0})},l_e=(t,e,r,o)=>{if(e&&typeof e=="object"||typeof e=="function")for(let a of s_e(e))!a_e.call(t,a)&&a!==r&&MT(t,a,{get:()=>e[a],enumerable:!(o=i_e(e,a))||o.enumerable});return t};var $e=(t,e,r)=>(r=t!=null?n_e(o_e(t)):{},l_e(e||!t||!t.__esModule?MT(r,"default",{value:t,enumerable:!0}):r,t));var vi={};Kt(vi,{SAFE_TIME:()=>F7,S_IFDIR:()=>wD,S_IFLNK:()=>ID,S_IFMT:()=>Mu,S_IFREG:()=>Hw});var 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Buffer.isBuffer(r)?this.changeFileBufferSync(e,r,o):this.changeFileTextSync(e,r,o)}changeFileBufferSync(e,r,{mode:o}={}){let a=Buffer.alloc(0);try{a=this.readFileSync(e)}catch{}Buffer.compare(a,r)!==0&&this.writeFileSync(e,r,{mode:o})}changeFileTextSync(e,r,{automaticNewlines:o=!1,mode:a}={}){let n="";try{n=this.readFileSync(e,"utf8")}catch{}let u=o?Ug(n,r):r;n!==u&&this.writeFileSync(e,u,{mode:a})}async movePromise(e,r){try{await this.renamePromise(e,r)}catch(o){if(o.code==="EXDEV")await this.copyPromise(r,e),await this.removePromise(e);else throw o}}moveSync(e,r){try{this.renameSync(e,r)}catch(o){if(o.code==="EXDEV")this.copySync(r,e),this.removeSync(e);else throw o}}async lockPromise(e,r){let o=`${e}.flock`,a=1e3/60,n=Date.now(),u=null,A=async()=>{let p;try{[p]=await this.readJsonPromise(o)}catch{return Date.now()-n<500}try{return process.kill(p,0),!0}catch{return!1}};for(;u===null;)try{u=await this.openPromise(o,"wx")}catch(p){if(p.code==="EEXIST"){if(!await A())try{await 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this.baseFs.accessPromise(this.mapToBase(e),r)}async statPromise(e,r){return this.baseFs.statPromise(this.mapToBase(e),r)}statSync(e,r){return this.baseFs.statSync(this.mapToBase(e),r)}async fstatPromise(e,r){return this.baseFs.fstatPromise(e,r)}fstatSync(e,r){return this.baseFs.fstatSync(e,r)}lstatPromise(e,r){return this.baseFs.lstatPromise(this.mapToBase(e),r)}lstatSync(e,r){return this.baseFs.lstatSync(this.mapToBase(e),r)}async fchmodPromise(e,r){return this.baseFs.fchmodPromise(e,r)}fchmodSync(e,r){return this.baseFs.fchmodSync(e,r)}async chmodPromise(e,r){return this.baseFs.chmodPromise(this.mapToBase(e),r)}chmodSync(e,r){return this.baseFs.chmodSync(this.mapToBase(e),r)}async fchownPromise(e,r,o){return this.baseFs.fchownPromise(e,r,o)}fchownSync(e,r,o){return this.baseFs.fchownSync(e,r,o)}async chownPromise(e,r,o){return this.baseFs.chownPromise(this.mapToBase(e),r,o)}chownSync(e,r,o){return this.baseFs.chownSync(this.mapToBase(e),r,o)}async renamePromise(e,r){return this.baseFs.renamePromise(this.mapToBase(e),this.mapToBase(r))}renameSync(e,r){return this.baseFs.renameSync(this.mapToBase(e),this.mapToBase(r))}async copyFilePromise(e,r,o=0){return this.baseFs.copyFilePromise(this.mapToBase(e),this.mapToBase(r),o)}copyFileSync(e,r,o=0){return this.baseFs.copyFileSync(this.mapToBase(e),this.mapToBase(r),o)}async appendFilePromise(e,r,o){return this.baseFs.appendFilePromise(this.fsMapToBase(e),r,o)}appendFileSync(e,r,o){return this.baseFs.appendFileSync(this.fsMapToBase(e),r,o)}async writeFilePromise(e,r,o){return this.baseFs.writeFilePromise(this.fsMapToBase(e),r,o)}writeFileSync(e,r,o){return this.baseFs.writeFileSync(this.fsMapToBase(e),r,o)}async unlinkPromise(e){return this.baseFs.unlinkPromise(this.mapToBase(e))}unlinkSync(e){return this.baseFs.unlinkSync(this.mapToBase(e))}async utimesPromise(e,r,o){return this.baseFs.utimesPromise(this.mapToBase(e),r,o)}utimesSync(e,r,o){return this.baseFs.utimesSync(this.mapToBase(e),r,o)}async lutimesPromise(e,r,o){return this.baseFs.lutimesPromise(this.mapToBase(e),r,o)}lutimesSync(e,r,o){return this.baseFs.lutimesSync(this.mapToBase(e),r,o)}async mkdirPromise(e,r){return this.baseFs.mkdirPromise(this.mapToBase(e),r)}mkdirSync(e,r){return this.baseFs.mkdirSync(this.mapToBase(e),r)}async rmdirPromise(e,r){return this.baseFs.rmdirPromise(this.mapToBase(e),r)}rmdirSync(e,r){return this.baseFs.rmdirSync(this.mapToBase(e),r)}async linkPromise(e,r){return this.baseFs.linkPromise(this.mapToBase(e),this.mapToBase(r))}linkSync(e,r){return this.baseFs.linkSync(this.mapToBase(e),this.mapToBase(r))}async symlinkPromise(e,r,o){let a=this.mapToBase(r);if(this.pathUtils.isAbsolute(e))return this.baseFs.symlinkPromise(this.mapToBase(e),a,o);let n=this.mapToBase(this.pathUtils.join(this.pathUtils.dirname(r),e)),u=this.baseFs.pathUtils.relative(this.baseFs.pathUtils.dirname(a),n);return this.baseFs.symlinkPromise(u,a,o)}symlinkSync(e,r,o){let a=this.mapToBase(r);if(this.pathUtils.isAbsolute(e))return this.baseFs.symlinkSync(this.mapToBase(e),a,o);let n=this.mapToBase(this.pathUtils.join(this.pathUtils.dirname(r),e)),u=this.baseFs.pathUtils.relative(this.baseFs.pathUtils.dirname(a),n);return this.baseFs.symlinkSync(u,a,o)}async readFilePromise(e,r){return this.baseFs.readFilePromise(this.fsMapToBase(e),r)}readFileSync(e,r){return this.baseFs.readFileSync(this.fsMapToBase(e),r)}readdirPromise(e,r){return this.baseFs.readdirPromise(this.mapToBase(e),r)}readdirSync(e,r){return this.baseFs.readdirSync(this.mapToBase(e),r)}async readlinkPromise(e){return this.mapFromBase(await this.baseFs.readlinkPromise(this.mapToBase(e)))}readlinkSync(e){return this.mapFromBase(this.baseFs.readlinkSync(this.mapToBase(e)))}async truncatePromise(e,r){return this.baseFs.truncatePromise(this.mapToBase(e),r)}truncateSync(e,r){return this.baseFs.truncateSync(this.mapToBase(e),r)}async ftruncatePromise(e,r){return this.baseFs.ftruncatePromise(e,r)}ftruncateSync(e,r){return this.baseFs.ftruncateSync(e,r)}watch(e,r,o){return this.baseFs.watch(this.mapToBase(e),r,o)}watchFile(e,r,o){return this.baseFs.watchFile(this.mapToBase(e),r,o)}unwatchFile(e,r){return this.baseFs.unwatchFile(this.mapToBase(e),r)}fsMapToBase(e){return typeof e=="number"?e:this.mapToBase(e)}}});var Uu,Y7=Et(()=>{gf();Uu=class extends Ps{constructor(r,{baseFs:o,pathUtils:a}){super(a);this.target=r,this.baseFs=o}getRealPath(){return this.target}getBaseFs(){return this.baseFs}mapFromBase(r){return r}mapToBase(r){return r}}});function W7(t){let e=t;return typeof t.path=="string"&&(e.path=ue.toPortablePath(t.path)),e}var V7,Rn,Hg=Et(()=>{V7=$e(Be("fs"));_g();Ca();Rn=class extends Ou{constructor(r=V7.default){super();this.realFs=r}getExtractHint(){return!1}getRealPath(){return Bt.root}resolve(r){return K.resolve(r)}async openPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.open(ue.fromPortablePath(r),o,a,this.makeCallback(n,u))})}openSync(r,o,a){return this.realFs.openSync(ue.fromPortablePath(r),o,a)}async opendirPromise(r,o){return await new Promise((a,n)=>{typeof o<"u"?this.realFs.opendir(ue.fromPortablePath(r),o,this.makeCallback(a,n)):this.realFs.opendir(ue.fromPortablePath(r),this.makeCallback(a,n))}).then(a=>{let n=a;return Object.defineProperty(n,"path",{value:r,configurable:!0,writable:!0}),n})}opendirSync(r,o){let n=typeof o<"u"?this.realFs.opendirSync(ue.fromPortablePath(r),o):this.realFs.opendirSync(ue.fromPortablePath(r));return Object.defineProperty(n,"path",{value:r,configurable:!0,writable:!0}),n}async readPromise(r,o,a=0,n=0,u=-1){return await new Promise((A,p)=>{this.realFs.read(r,o,a,n,u,(h,E)=>{h?p(h):A(E)})})}readSync(r,o,a,n,u){return this.realFs.readSync(r,o,a,n,u)}async writePromise(r,o,a,n,u){return await new Promise((A,p)=>typeof o=="string"?this.realFs.write(r,o,a,this.makeCallback(A,p)):this.realFs.write(r,o,a,n,u,this.makeCallback(A,p)))}writeSync(r,o,a,n,u){return typeof o=="string"?this.realFs.writeSync(r,o,a):this.realFs.writeSync(r,o,a,n,u)}async closePromise(r){await new Promise((o,a)=>{this.realFs.close(r,this.makeCallback(o,a))})}closeSync(r){this.realFs.closeSync(r)}createReadStream(r,o){let a=r!==null?ue.fromPortablePath(r):r;return this.realFs.createReadStream(a,o)}createWriteStream(r,o){let a=r!==null?ue.fromPortablePath(r):r;return this.realFs.createWriteStream(a,o)}async realpathPromise(r){return await new Promise((o,a)=>{this.realFs.realpath(ue.fromPortablePath(r),{},this.makeCallback(o,a))}).then(o=>ue.toPortablePath(o))}realpathSync(r){return ue.toPortablePath(this.realFs.realpathSync(ue.fromPortablePath(r),{}))}async existsPromise(r){return await new Promise(o=>{this.realFs.exists(ue.fromPortablePath(r),o)})}accessSync(r,o){return this.realFs.accessSync(ue.fromPortablePath(r),o)}async accessPromise(r,o){return await new Promise((a,n)=>{this.realFs.access(ue.fromPortablePath(r),o,this.makeCallback(a,n))})}existsSync(r){return this.realFs.existsSync(ue.fromPortablePath(r))}async statPromise(r,o){return await new Promise((a,n)=>{o?this.realFs.stat(ue.fromPortablePath(r),o,this.makeCallback(a,n)):this.realFs.stat(ue.fromPortablePath(r),this.makeCallback(a,n))})}statSync(r,o){return o?this.realFs.statSync(ue.fromPortablePath(r),o):this.realFs.statSync(ue.fromPortablePath(r))}async fstatPromise(r,o){return await new Promise((a,n)=>{o?this.realFs.fstat(r,o,this.makeCallback(a,n)):this.realFs.fstat(r,this.makeCallback(a,n))})}fstatSync(r,o){return o?this.realFs.fstatSync(r,o):this.realFs.fstatSync(r)}async lstatPromise(r,o){return await new Promise((a,n)=>{o?this.realFs.lstat(ue.fromPortablePath(r),o,this.makeCallback(a,n)):this.realFs.lstat(ue.fromPortablePath(r),this.makeCallback(a,n))})}lstatSync(r,o){return o?this.realFs.lstatSync(ue.fromPortablePath(r),o):this.realFs.lstatSync(ue.fromPortablePath(r))}async fchmodPromise(r,o){return await new Promise((a,n)=>{this.realFs.fchmod(r,o,this.makeCallback(a,n))})}fchmodSync(r,o){return this.realFs.fchmodSync(r,o)}async chmodPromise(r,o){return await new Promise((a,n)=>{this.realFs.chmod(ue.fromPortablePath(r),o,this.makeCallback(a,n))})}chmodSync(r,o){return this.realFs.chmodSync(ue.fromPortablePath(r),o)}async fchownPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.fchown(r,o,a,this.makeCallback(n,u))})}fchownSync(r,o,a){return this.realFs.fchownSync(r,o,a)}async chownPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.chown(ue.fromPortablePath(r),o,a,this.makeCallback(n,u))})}chownSync(r,o,a){return this.realFs.chownSync(ue.fromPortablePath(r),o,a)}async renamePromise(r,o){return await new Promise((a,n)=>{this.realFs.rename(ue.fromPortablePath(r),ue.fromPortablePath(o),this.makeCallback(a,n))})}renameSync(r,o){return this.realFs.renameSync(ue.fromPortablePath(r),ue.fromPortablePath(o))}async copyFilePromise(r,o,a=0){return await new Promise((n,u)=>{this.realFs.copyFile(ue.fromPortablePath(r),ue.fromPortablePath(o),a,this.makeCallback(n,u))})}copyFileSync(r,o,a=0){return this.realFs.copyFileSync(ue.fromPortablePath(r),ue.fromPortablePath(o),a)}async appendFilePromise(r,o,a){return await new Promise((n,u)=>{let A=typeof r=="string"?ue.fromPortablePath(r):r;a?this.realFs.appendFile(A,o,a,this.makeCallback(n,u)):this.realFs.appendFile(A,o,this.makeCallback(n,u))})}appendFileSync(r,o,a){let n=typeof r=="string"?ue.fromPortablePath(r):r;a?this.realFs.appendFileSync(n,o,a):this.realFs.appendFileSync(n,o)}async writeFilePromise(r,o,a){return await new Promise((n,u)=>{let A=typeof r=="string"?ue.fromPortablePath(r):r;a?this.realFs.writeFile(A,o,a,this.makeCallback(n,u)):this.realFs.writeFile(A,o,this.makeCallback(n,u))})}writeFileSync(r,o,a){let n=typeof r=="string"?ue.fromPortablePath(r):r;a?this.realFs.writeFileSync(n,o,a):this.realFs.writeFileSync(n,o)}async unlinkPromise(r){return await new Promise((o,a)=>{this.realFs.unlink(ue.fromPortablePath(r),this.makeCallback(o,a))})}unlinkSync(r){return this.realFs.unlinkSync(ue.fromPortablePath(r))}async utimesPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.utimes(ue.fromPortablePath(r),o,a,this.makeCallback(n,u))})}utimesSync(r,o,a){this.realFs.utimesSync(ue.fromPortablePath(r),o,a)}async lutimesPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.lutimes(ue.fromPortablePath(r),o,a,this.makeCallback(n,u))})}lutimesSync(r,o,a){this.realFs.lutimesSync(ue.fromPortablePath(r),o,a)}async mkdirPromise(r,o){return await new Promise((a,n)=>{this.realFs.mkdir(ue.fromPortablePath(r),o,this.makeCallback(a,n))})}mkdirSync(r,o){return this.realFs.mkdirSync(ue.fromPortablePath(r),o)}async rmdirPromise(r,o){return await new Promise((a,n)=>{o?this.realFs.rmdir(ue.fromPortablePath(r),o,this.makeCallback(a,n)):this.realFs.rmdir(ue.fromPortablePath(r),this.makeCallback(a,n))})}rmdirSync(r,o){return this.realFs.rmdirSync(ue.fromPortablePath(r),o)}async linkPromise(r,o){return await new Promise((a,n)=>{this.realFs.link(ue.fromPortablePath(r),ue.fromPortablePath(o),this.makeCallback(a,n))})}linkSync(r,o){return this.realFs.linkSync(ue.fromPortablePath(r),ue.fromPortablePath(o))}async symlinkPromise(r,o,a){return await new Promise((n,u)=>{this.realFs.symlink(ue.fromPortablePath(r.replace(/\/+$/,"")),ue.fromPortablePath(o),a,this.makeCallback(n,u))})}symlinkSync(r,o,a){return this.realFs.symlinkSync(ue.fromPortablePath(r.replace(/\/+$/,"")),ue.fromPortablePath(o),a)}async readFilePromise(r,o){return await new Promise((a,n)=>{let u=typeof r=="string"?ue.fromPortablePath(r):r;this.realFs.readFile(u,o,this.makeCallback(a,n))})}readFileSync(r,o){let a=typeof r=="string"?ue.fromPortablePath(r):r;return this.realFs.readFileSync(a,o)}async readdirPromise(r,o){return await new Promise((a,n)=>{o?o.recursive&&process.platform==="win32"?o.withFileTypes?this.realFs.readdir(ue.fromPortablePath(r),o,this.makeCallback(u=>a(u.map(W7)),n)):this.realFs.readdir(ue.fromPortablePath(r),o,this.makeCallback(u=>a(u.map(ue.toPortablePath)),n)):this.realFs.readdir(ue.fromPortablePath(r),o,this.makeCallback(a,n)):this.realFs.readdir(ue.fromPortablePath(r),this.makeCallback(a,n))})}readdirSync(r,o){return o?o.recursive&&process.platform==="win32"?o.withFileTypes?this.realFs.readdirSync(ue.fromPortablePath(r),o).map(W7):this.realFs.readdirSync(ue.fromPortablePath(r),o).map(ue.toPortablePath):this.realFs.readdirSync(ue.fromPortablePath(r),o):this.realFs.readdirSync(ue.fromPortablePath(r))}async readlinkPromise(r){return await new Promise((o,a)=>{this.realFs.readlink(ue.fromPortablePath(r),this.makeCallback(o,a))}).then(o=>ue.toPortablePath(o))}readlinkSync(r){return ue.toPortablePath(this.realFs.readlinkSync(ue.fromPortablePath(r)))}async truncatePromise(r,o){return await new Promise((a,n)=>{this.realFs.truncate(ue.fromPortablePath(r),o,this.makeCallback(a,n))})}truncateSync(r,o){return this.realFs.truncateSync(ue.fromPortablePath(r),o)}async ftruncatePromise(r,o){return await new Promise((a,n)=>{this.realFs.ftruncate(r,o,this.makeCallback(a,n))})}ftruncateSync(r,o){return this.realFs.ftruncateSync(r,o)}watch(r,o,a){return this.realFs.watch(ue.fromPortablePath(r),o,a)}watchFile(r,o,a){return this.realFs.watchFile(ue.fromPortablePath(r),o,a)}unwatchFile(r,o){return this.realFs.unwatchFile(ue.fromPortablePath(r),o)}makeCallback(r,o){return(a,n)=>{a?o(a):r(n)}}}});var gn,K7=Et(()=>{Hg();gf();Ca();gn=class extends Ps{constructor(r,{baseFs:o=new Rn}={}){super(K);this.target=this.pathUtils.normalize(r),this.baseFs=o}getRealPath(){return this.pathUtils.resolve(this.baseFs.getRealPath(),this.target)}resolve(r){return this.pathUtils.isAbsolute(r)?K.normalize(r):this.baseFs.resolve(K.join(this.target,r))}mapFromBase(r){return r}mapToBase(r){return this.pathUtils.isAbsolute(r)?r:this.pathUtils.join(this.target,r)}}});var J7,_u,z7=Et(()=>{Hg();gf();Ca();J7=Bt.root,_u=class extends Ps{constructor(r,{baseFs:o=new Rn}={}){super(K);this.target=this.pathUtils.resolve(Bt.root,r),this.baseFs=o}getRealPath(){return this.pathUtils.resolve(this.baseFs.getRealPath(),this.pathUtils.relative(Bt.root,this.target))}getTarget(){return this.target}getBaseFs(){return this.baseFs}mapToBase(r){let o=this.pathUtils.normalize(r);if(this.pathUtils.isAbsolute(r))return this.pathUtils.resolve(this.target,this.pathUtils.relative(J7,r));if(o.match(/^\.\.\/?/))throw new Error(`Resolving this path (${r}) would escape the jail`);return this.pathUtils.resolve(this.target,r)}mapFromBase(r){return this.pathUtils.resolve(J7,this.pathUtils.relative(this.target,r))}}});var ny,X7=Et(()=>{gf();ny=class extends Ps{constructor(r,o){super(o);this.instance=null;this.factory=r}get baseFs(){return this.instance||(this.instance=this.factory()),this.instance}set baseFs(r){this.instance=r}mapFromBase(r){return r}mapToBase(r){return r}}});var jg,wa,_p,Z7=Et(()=>{jg=Be("fs");_g();Hg();VT();BD();Ca();wa=4278190080,_p=class extends Ou{constructor({baseFs:r=new Rn,filter:o=null,magicByte:a=42,maxOpenFiles:n=1/0,useCache:u=!0,maxAge:A=5e3,typeCheck:p=jg.constants.S_IFREG,getMountPoint:h,factoryPromise:E,factorySync:I}){if(Math.floor(a)!==a||!(a>1&&a<=127))throw new Error("The magic byte must be set to a round value between 1 and 127 included");super();this.fdMap=new Map;this.nextFd=3;this.isMount=new Set;this.notMount=new Set;this.realPaths=new Map;this.limitOpenFilesTimeout=null;this.baseFs=r,this.mountInstances=u?new Map:null,this.factoryPromise=E,this.factorySync=I,this.filter=o,this.getMountPoint=h,this.magic=a<<24,this.maxAge=A,this.maxOpenFiles=n,this.typeCheck=p}getExtractHint(r){return this.baseFs.getExtractHint(r)}getRealPath(){return this.baseFs.getRealPath()}saveAndClose(){if(Og(this),this.mountInstances)for(let[r,{childFs:o}]of this.mountInstances.entries())o.saveAndClose?.(),this.mountInstances.delete(r)}discardAndClose(){if(Og(this),this.mountInstances)for(let[r,{childFs:o}]of this.mountInstances.entries())o.discardAndClose?.(),this.mountInstances.delete(r)}resolve(r){return this.baseFs.resolve(r)}remapFd(r,o){let a=this.nextFd++|this.magic;return this.fdMap.set(a,[r,o]),a}async openPromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.openPromise(r,o,a),async(n,{subPath:u})=>this.remapFd(n,await n.openPromise(u,o,a)))}openSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.openSync(r,o,a),(n,{subPath:u})=>this.remapFd(n,n.openSync(u,o,a)))}async opendirPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.opendirPromise(r,o),async(a,{subPath:n})=>await a.opendirPromise(n,o),{requireSubpath:!1})}opendirSync(r,o){return this.makeCallSync(r,()=>this.baseFs.opendirSync(r,o),(a,{subPath:n})=>a.opendirSync(n,o),{requireSubpath:!1})}async readPromise(r,o,a,n,u){if((r&wa)!==this.magic)return await this.baseFs.readPromise(r,o,a,n,u);let A=this.fdMap.get(r);if(typeof A>"u")throw Io("read");let[p,h]=A;return await p.readPromise(h,o,a,n,u)}readSync(r,o,a,n,u){if((r&wa)!==this.magic)return this.baseFs.readSync(r,o,a,n,u);let A=this.fdMap.get(r);if(typeof A>"u")throw Io("readSync");let[p,h]=A;return p.readSync(h,o,a,n,u)}async writePromise(r,o,a,n,u){if((r&wa)!==this.magic)return typeof o=="string"?await this.baseFs.writePromise(r,o,a):await this.baseFs.writePromise(r,o,a,n,u);let A=this.fdMap.get(r);if(typeof A>"u")throw Io("write");let[p,h]=A;return typeof o=="string"?await p.writePromise(h,o,a):await p.writePromise(h,o,a,n,u)}writeSync(r,o,a,n,u){if((r&wa)!==this.magic)return typeof o=="string"?this.baseFs.writeSync(r,o,a):this.baseFs.writeSync(r,o,a,n,u);let A=this.fdMap.get(r);if(typeof A>"u")throw Io("writeSync");let[p,h]=A;return typeof o=="string"?p.writeSync(h,o,a):p.writeSync(h,o,a,n,u)}async closePromise(r){if((r&wa)!==this.magic)return await this.baseFs.closePromise(r);let o=this.fdMap.get(r);if(typeof o>"u")throw Io("close");this.fdMap.delete(r);let[a,n]=o;return await a.closePromise(n)}closeSync(r){if((r&wa)!==this.magic)return this.baseFs.closeSync(r);let o=this.fdMap.get(r);if(typeof o>"u")throw Io("closeSync");this.fdMap.delete(r);let[a,n]=o;return a.closeSync(n)}createReadStream(r,o){return r===null?this.baseFs.createReadStream(r,o):this.makeCallSync(r,()=>this.baseFs.createReadStream(r,o),(a,{archivePath:n,subPath:u})=>{let A=a.createReadStream(u,o);return A.path=ue.fromPortablePath(this.pathUtils.join(n,u)),A})}createWriteStream(r,o){return r===null?this.baseFs.createWriteStream(r,o):this.makeCallSync(r,()=>this.baseFs.createWriteStream(r,o),(a,{subPath:n})=>a.createWriteStream(n,o))}async realpathPromise(r){return await this.makeCallPromise(r,async()=>await this.baseFs.realpathPromise(r),async(o,{archivePath:a,subPath:n})=>{let u=this.realPaths.get(a);return typeof u>"u"&&(u=await this.baseFs.realpathPromise(a),this.realPaths.set(a,u)),this.pathUtils.join(u,this.pathUtils.relative(Bt.root,await o.realpathPromise(n)))})}realpathSync(r){return this.makeCallSync(r,()=>this.baseFs.realpathSync(r),(o,{archivePath:a,subPath:n})=>{let u=this.realPaths.get(a);return typeof u>"u"&&(u=this.baseFs.realpathSync(a),this.realPaths.set(a,u)),this.pathUtils.join(u,this.pathUtils.relative(Bt.root,o.realpathSync(n)))})}async existsPromise(r){return await this.makeCallPromise(r,async()=>await this.baseFs.existsPromise(r),async(o,{subPath:a})=>await o.existsPromise(a))}existsSync(r){return this.makeCallSync(r,()=>this.baseFs.existsSync(r),(o,{subPath:a})=>o.existsSync(a))}async accessPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.accessPromise(r,o),async(a,{subPath:n})=>await a.accessPromise(n,o))}accessSync(r,o){return this.makeCallSync(r,()=>this.baseFs.accessSync(r,o),(a,{subPath:n})=>a.accessSync(n,o))}async statPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.statPromise(r,o),async(a,{subPath:n})=>await a.statPromise(n,o))}statSync(r,o){return this.makeCallSync(r,()=>this.baseFs.statSync(r,o),(a,{subPath:n})=>a.statSync(n,o))}async fstatPromise(r,o){if((r&wa)!==this.magic)return this.baseFs.fstatPromise(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("fstat");let[n,u]=a;return n.fstatPromise(u,o)}fstatSync(r,o){if((r&wa)!==this.magic)return this.baseFs.fstatSync(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("fstatSync");let[n,u]=a;return n.fstatSync(u,o)}async lstatPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.lstatPromise(r,o),async(a,{subPath:n})=>await a.lstatPromise(n,o))}lstatSync(r,o){return this.makeCallSync(r,()=>this.baseFs.lstatSync(r,o),(a,{subPath:n})=>a.lstatSync(n,o))}async fchmodPromise(r,o){if((r&wa)!==this.magic)return this.baseFs.fchmodPromise(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("fchmod");let[n,u]=a;return n.fchmodPromise(u,o)}fchmodSync(r,o){if((r&wa)!==this.magic)return this.baseFs.fchmodSync(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("fchmodSync");let[n,u]=a;return n.fchmodSync(u,o)}async chmodPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.chmodPromise(r,o),async(a,{subPath:n})=>await a.chmodPromise(n,o))}chmodSync(r,o){return this.makeCallSync(r,()=>this.baseFs.chmodSync(r,o),(a,{subPath:n})=>a.chmodSync(n,o))}async fchownPromise(r,o,a){if((r&wa)!==this.magic)return this.baseFs.fchownPromise(r,o,a);let n=this.fdMap.get(r);if(typeof n>"u")throw Io("fchown");let[u,A]=n;return u.fchownPromise(A,o,a)}fchownSync(r,o,a){if((r&wa)!==this.magic)return this.baseFs.fchownSync(r,o,a);let n=this.fdMap.get(r);if(typeof n>"u")throw Io("fchownSync");let[u,A]=n;return u.fchownSync(A,o,a)}async chownPromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.chownPromise(r,o,a),async(n,{subPath:u})=>await n.chownPromise(u,o,a))}chownSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.chownSync(r,o,a),(n,{subPath:u})=>n.chownSync(u,o,a))}async renamePromise(r,o){return await this.makeCallPromise(r,async()=>await this.makeCallPromise(o,async()=>await this.baseFs.renamePromise(r,o),async()=>{throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"})}),async(a,{subPath:n})=>await this.makeCallPromise(o,async()=>{throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"})},async(u,{subPath:A})=>{if(a!==u)throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"});return await a.renamePromise(n,A)}))}renameSync(r,o){return this.makeCallSync(r,()=>this.makeCallSync(o,()=>this.baseFs.renameSync(r,o),()=>{throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"})}),(a,{subPath:n})=>this.makeCallSync(o,()=>{throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"})},(u,{subPath:A})=>{if(a!==u)throw Object.assign(new Error("EEXDEV: cross-device link not permitted"),{code:"EEXDEV"});return a.renameSync(n,A)}))}async copyFilePromise(r,o,a=0){let n=async(u,A,p,h)=>{if((a&jg.constants.COPYFILE_FICLONE_FORCE)!==0)throw Object.assign(new Error(`EXDEV: cross-device clone not permitted, copyfile '${A}' -> ${h}'`),{code:"EXDEV"});if(a&jg.constants.COPYFILE_EXCL&&await this.existsPromise(A))throw Object.assign(new Error(`EEXIST: file already exists, copyfile '${A}' -> '${h}'`),{code:"EEXIST"});let E;try{E=await u.readFilePromise(A)}catch{throw Object.assign(new Error(`EINVAL: invalid argument, copyfile '${A}' -> '${h}'`),{code:"EINVAL"})}await p.writeFilePromise(h,E)};return await this.makeCallPromise(r,async()=>await this.makeCallPromise(o,async()=>await this.baseFs.copyFilePromise(r,o,a),async(u,{subPath:A})=>await n(this.baseFs,r,u,A)),async(u,{subPath:A})=>await this.makeCallPromise(o,async()=>await n(u,A,this.baseFs,o),async(p,{subPath:h})=>u!==p?await n(u,A,p,h):await u.copyFilePromise(A,h,a)))}copyFileSync(r,o,a=0){let n=(u,A,p,h)=>{if((a&jg.constants.COPYFILE_FICLONE_FORCE)!==0)throw Object.assign(new Error(`EXDEV: cross-device clone not permitted, copyfile '${A}' -> ${h}'`),{code:"EXDEV"});if(a&jg.constants.COPYFILE_EXCL&&this.existsSync(A))throw Object.assign(new Error(`EEXIST: file already exists, copyfile '${A}' -> '${h}'`),{code:"EEXIST"});let E;try{E=u.readFileSync(A)}catch{throw Object.assign(new Error(`EINVAL: invalid argument, copyfile '${A}' -> '${h}'`),{code:"EINVAL"})}p.writeFileSync(h,E)};return this.makeCallSync(r,()=>this.makeCallSync(o,()=>this.baseFs.copyFileSync(r,o,a),(u,{subPath:A})=>n(this.baseFs,r,u,A)),(u,{subPath:A})=>this.makeCallSync(o,()=>n(u,A,this.baseFs,o),(p,{subPath:h})=>u!==p?n(u,A,p,h):u.copyFileSync(A,h,a)))}async appendFilePromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.appendFilePromise(r,o,a),async(n,{subPath:u})=>await n.appendFilePromise(u,o,a))}appendFileSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.appendFileSync(r,o,a),(n,{subPath:u})=>n.appendFileSync(u,o,a))}async writeFilePromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.writeFilePromise(r,o,a),async(n,{subPath:u})=>await n.writeFilePromise(u,o,a))}writeFileSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.writeFileSync(r,o,a),(n,{subPath:u})=>n.writeFileSync(u,o,a))}async unlinkPromise(r){return await this.makeCallPromise(r,async()=>await this.baseFs.unlinkPromise(r),async(o,{subPath:a})=>await o.unlinkPromise(a))}unlinkSync(r){return this.makeCallSync(r,()=>this.baseFs.unlinkSync(r),(o,{subPath:a})=>o.unlinkSync(a))}async utimesPromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.utimesPromise(r,o,a),async(n,{subPath:u})=>await n.utimesPromise(u,o,a))}utimesSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.utimesSync(r,o,a),(n,{subPath:u})=>n.utimesSync(u,o,a))}async lutimesPromise(r,o,a){return await this.makeCallPromise(r,async()=>await this.baseFs.lutimesPromise(r,o,a),async(n,{subPath:u})=>await n.lutimesPromise(u,o,a))}lutimesSync(r,o,a){return this.makeCallSync(r,()=>this.baseFs.lutimesSync(r,o,a),(n,{subPath:u})=>n.lutimesSync(u,o,a))}async mkdirPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.mkdirPromise(r,o),async(a,{subPath:n})=>await a.mkdirPromise(n,o))}mkdirSync(r,o){return this.makeCallSync(r,()=>this.baseFs.mkdirSync(r,o),(a,{subPath:n})=>a.mkdirSync(n,o))}async rmdirPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.rmdirPromise(r,o),async(a,{subPath:n})=>await a.rmdirPromise(n,o))}rmdirSync(r,o){return this.makeCallSync(r,()=>this.baseFs.rmdirSync(r,o),(a,{subPath:n})=>a.rmdirSync(n,o))}async linkPromise(r,o){return await this.makeCallPromise(o,async()=>await this.baseFs.linkPromise(r,o),async(a,{subPath:n})=>await a.linkPromise(r,n))}linkSync(r,o){return this.makeCallSync(o,()=>this.baseFs.linkSync(r,o),(a,{subPath:n})=>a.linkSync(r,n))}async symlinkPromise(r,o,a){return await this.makeCallPromise(o,async()=>await this.baseFs.symlinkPromise(r,o,a),async(n,{subPath:u})=>await n.symlinkPromise(r,u))}symlinkSync(r,o,a){return this.makeCallSync(o,()=>this.baseFs.symlinkSync(r,o,a),(n,{subPath:u})=>n.symlinkSync(r,u))}async readFilePromise(r,o){return this.makeCallPromise(r,async()=>await this.baseFs.readFilePromise(r,o),async(a,{subPath:n})=>await a.readFilePromise(n,o))}readFileSync(r,o){return this.makeCallSync(r,()=>this.baseFs.readFileSync(r,o),(a,{subPath:n})=>a.readFileSync(n,o))}async readdirPromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.readdirPromise(r,o),async(a,{subPath:n})=>await a.readdirPromise(n,o),{requireSubpath:!1})}readdirSync(r,o){return this.makeCallSync(r,()=>this.baseFs.readdirSync(r,o),(a,{subPath:n})=>a.readdirSync(n,o),{requireSubpath:!1})}async readlinkPromise(r){return await this.makeCallPromise(r,async()=>await this.baseFs.readlinkPromise(r),async(o,{subPath:a})=>await o.readlinkPromise(a))}readlinkSync(r){return this.makeCallSync(r,()=>this.baseFs.readlinkSync(r),(o,{subPath:a})=>o.readlinkSync(a))}async truncatePromise(r,o){return await this.makeCallPromise(r,async()=>await this.baseFs.truncatePromise(r,o),async(a,{subPath:n})=>await a.truncatePromise(n,o))}truncateSync(r,o){return this.makeCallSync(r,()=>this.baseFs.truncateSync(r,o),(a,{subPath:n})=>a.truncateSync(n,o))}async ftruncatePromise(r,o){if((r&wa)!==this.magic)return this.baseFs.ftruncatePromise(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("ftruncate");let[n,u]=a;return n.ftruncatePromise(u,o)}ftruncateSync(r,o){if((r&wa)!==this.magic)return this.baseFs.ftruncateSync(r,o);let a=this.fdMap.get(r);if(typeof a>"u")throw Io("ftruncateSync");let[n,u]=a;return n.ftruncateSync(u,o)}watch(r,o,a){return this.makeCallSync(r,()=>this.baseFs.watch(r,o,a),(n,{subPath:u})=>n.watch(u,o,a))}watchFile(r,o,a){return this.makeCallSync(r,()=>this.baseFs.watchFile(r,o,a),()=>ry(this,r,o,a))}unwatchFile(r,o){return this.makeCallSync(r,()=>this.baseFs.unwatchFile(r,o),()=>Mg(this,r,o))}async makeCallPromise(r,o,a,{requireSubpath:n=!0}={}){if(typeof r!="string")return await o();let u=this.resolve(r),A=this.findMount(u);return A?n&&A.subPath==="/"?await o():await this.getMountPromise(A.archivePath,async p=>await a(p,A)):await o()}makeCallSync(r,o,a,{requireSubpath:n=!0}={}){if(typeof r!="string")return o();let u=this.resolve(r),A=this.findMount(u);return!A||n&&A.subPath==="/"?o():this.getMountSync(A.archivePath,p=>a(p,A))}findMount(r){if(this.filter&&!this.filter.test(r))return null;let o="";for(;;){let a=r.substring(o.length),n=this.getMountPoint(a,o);if(!n)return null;if(o=this.pathUtils.join(o,n),!this.isMount.has(o)){if(this.notMount.has(o))continue;try{if(this.typeCheck!==null&&(this.baseFs.lstatSync(o).mode&jg.constants.S_IFMT)!==this.typeCheck){this.notMount.add(o);continue}}catch{return null}this.isMount.add(o)}return{archivePath:o,subPath:this.pathUtils.join(Bt.root,r.substring(o.length))}}}limitOpenFiles(r){if(this.mountInstances===null)return;let o=Date.now(),a=o+this.maxAge,n=r===null?0:this.mountInstances.size-r;for(let[u,{childFs:A,expiresAt:p,refCount:h}]of this.mountInstances.entries())if(!(h!==0||A.hasOpenFileHandles?.())){if(o>=p){A.saveAndClose?.(),this.mountInstances.delete(u),n-=1;continue}else 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a||(a={childFs:this.factorySync(this.baseFs,r),expiresAt:0,refCount:0}),this.mountInstances.delete(r),this.limitOpenFiles(this.maxOpenFiles-1),this.mountInstances.set(r,a),a.expiresAt=Date.now()+this.maxAge,o(a.childFs)}else{let a=this.factorySync(this.baseFs,r);try{return o(a)}finally{a.saveAndClose?.()}}}}});var Zt,KT,Gw,$7=Et(()=>{_g();Ca();Zt=()=>Object.assign(new Error("ENOSYS: unsupported filesystem access"),{code:"ENOSYS"}),KT=class extends hf{constructor(){super(K)}getExtractHint(){throw Zt()}getRealPath(){throw Zt()}resolve(){throw Zt()}async openPromise(){throw Zt()}openSync(){throw Zt()}async opendirPromise(){throw Zt()}opendirSync(){throw Zt()}async readPromise(){throw Zt()}readSync(){throw Zt()}async writePromise(){throw Zt()}writeSync(){throw Zt()}async closePromise(){throw Zt()}closeSync(){throw Zt()}createWriteStream(){throw Zt()}createReadStream(){throw Zt()}async realpathPromise(){throw Zt()}realpathSync(){throw Zt()}async readdirPromise(){throw 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BGe=ZR(),vGe=$R(),DGe=dI(),PGe=EP(),SGe=yP(),xGe=CP(),bGe=(t,e,r,o)=>{switch(e){case"===":return typeof t=="object"&&(t=t.version),typeof r=="object"&&(r=r.version),t===r;case"!==":return typeof t=="object"&&(t=t.version),typeof r=="object"&&(r=r.version),t!==r;case"":case"=":case"==":return BGe(t,r,o);case"!=":return vGe(t,r,o);case">":return DGe(t,r,o);case">=":return PGe(t,r,o);case"<":return SGe(t,r,o);case"<=":return xGe(t,r,o);default:throw new TypeError(`Invalid operator: ${e}`)}};$J.exports=bGe});var tz=_((oQt,ez)=>{var kGe=Po(),QGe=id(),{safeRe:wP,t:IP}=By(),FGe=(t,e)=>{if(t instanceof kGe)return t;if(typeof t=="number"&&(t=String(t)),typeof t!="string")return null;e=e||{};let r=null;if(!e.rtl)r=t.match(wP[IP.COERCE]);else{let o;for(;(o=wP[IP.COERCERTL].exec(t))&&(!r||r.index+r[0].length!==t.length);)(!r||o.index+o[0].length!==r.index+r[0].length)&&(r=o),wP[IP.COERCERTL].lastIndex=o.index+o[1].length+o[2].length;wP[IP.COERCERTL].lastIndex=-1}return r===null?null:QGe(`${r[2]}.${r[3]||"0"}.${r[4]||"0"}`,e)};ez.exports=FGe});var nz=_((aQt,rz)=>{"use strict";rz.exports=function(t){t.prototype[Symbol.iterator]=function*(){for(let e=this.head;e;e=e.next)yield e.value}}});var BP=_((lQt,iz)=>{"use strict";iz.exports=Cn;Cn.Node=sd;Cn.create=Cn;function Cn(t){var e=this;if(e instanceof Cn||(e=new Cn),e.tail=null,e.head=null,e.length=0,t&&typeof t.forEach=="function")t.forEach(function(a){e.push(a)});else if(arguments.length>0)for(var r=0,o=arguments.length;r<o;r++)e.push(arguments[r]);return e}Cn.prototype.removeNode=function(t){if(t.list!==this)throw new Error("removing node which does not belong to this list");var e=t.next,r=t.prev;return e&&(e.prev=r),r&&(r.next=e),t===this.head&&(this.head=e),t===this.tail&&(this.tail=r),t.list.length--,t.next=null,t.prev=null,t.list=null,e};Cn.prototype.unshiftNode=function(t){if(t!==this.head){t.list&&t.list.removeNode(t);var e=this.head;t.list=this,t.next=e,e&&(e.prev=t),this.head=t,this.tail||(this.tail=t),this.length++}};Cn.prototype.pushNode=function(t){if(t!==this.tail){t.list&&t.list.removeNode(t);var e=this.tail;t.list=this,t.prev=e,e&&(e.next=t),this.tail=t,this.head||(this.head=t),this.length++}};Cn.prototype.push=function(){for(var t=0,e=arguments.length;t<e;t++)RGe(this,arguments[t]);return this.length};Cn.prototype.unshift=function(){for(var t=0,e=arguments.length;t<e;t++)NGe(this,arguments[t]);return this.length};Cn.prototype.pop=function(){if(!!this.tail){var t=this.tail.value;return this.tail=this.tail.prev,this.tail?this.tail.next=null:this.head=null,this.length--,t}};Cn.prototype.shift=function(){if(!!this.head){var t=this.head.value;return this.head=this.head.next,this.head?this.head.prev=null:this.tail=null,this.length--,t}};Cn.prototype.forEach=function(t,e){e=e||this;for(var 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r};Cn.prototype.reduceReverse=function(t,e){var r,o=this.tail;if(arguments.length>1)r=e;else if(this.tail)o=this.tail.prev,r=this.tail.value;else throw new TypeError("Reduce of empty list with no initial value");for(var a=this.length-1;o!==null;a--)r=t(r,o.value,a),o=o.prev;return r};Cn.prototype.toArray=function(){for(var t=new Array(this.length),e=0,r=this.head;r!==null;e++)t[e]=r.value,r=r.next;return t};Cn.prototype.toArrayReverse=function(){for(var t=new Array(this.length),e=0,r=this.tail;r!==null;e++)t[e]=r.value,r=r.prev;return t};Cn.prototype.slice=function(t,e){e=e||this.length,e<0&&(e+=this.length),t=t||0,t<0&&(t+=this.length);var r=new Cn;if(e<t||e<0)return r;t<0&&(t=0),e>this.length&&(e=this.length);for(var o=0,a=this.head;a!==null&&o<t;o++)a=a.next;for(;a!==null&&o<e;o++,a=a.next)r.push(a.value);return r};Cn.prototype.sliceReverse=function(t,e){e=e||this.length,e<0&&(e+=this.length),t=t||0,t<0&&(t+=this.length);var r=new Cn;if(e<t||e<0)return r;t<0&&(t=0),e>this.length&&(e=this.length);for(var o=this.length,a=this.tail;a!==null&&o>e;o--)a=a.prev;for(;a!==null&&o>t;o--,a=a.prev)r.push(a.value);return r};Cn.prototype.splice=function(t,e,...r){t>this.length&&(t=this.length-1),t<0&&(t=this.length+t);for(var o=0,a=this.head;a!==null&&o<t;o++)a=a.next;for(var n=[],o=0;a&&o<e;o++)n.push(a.value),a=this.removeNode(a);a===null&&(a=this.tail),a!==this.head&&a!==this.tail&&(a=a.prev);for(var o=0;o<r.length;o++)a=TGe(this,a,r[o]);return n};Cn.prototype.reverse=function(){for(var t=this.head,e=this.tail,r=t;r!==null;r=r.prev){var o=r.prev;r.prev=r.next,r.next=o}return this.head=e,this.tail=t,this};function TGe(t,e,r){var o=e===t.head?new sd(r,null,e,t):new sd(r,e,e.next,t);return o.next===null&&(t.tail=o),o.prev===null&&(t.head=o),t.length++,o}function RGe(t,e){t.tail=new sd(e,t.tail,null,t),t.head||(t.head=t.tail),t.length++}function NGe(t,e){t.head=new sd(e,null,t.head,t),t.tail||(t.tail=t.head),t.length++}function 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MGe({max:1e3}),OGe=hP(),sN=EI(),ci=gI(),UGe=Po(),{safeRe:Da,t:zo,comparatorTrimReplace:_Ge,tildeTrimReplace:HGe,caretTrimReplace:jGe}=By(),{FLAG_INCLUDE_PRERELEASE:qGe,FLAG_LOOSE:GGe}=hI(),Az=t=>t.value==="<0.0.0-0",YGe=t=>t.value==="",fz=(t,e)=>{let r=!0,o=t.slice(),a=o.pop();for(;r&&o.length;)r=o.every(n=>a.intersects(n,e)),a=o.pop();return r},WGe=(t,e)=>(ci("comp",t,e),t=JGe(t,e),ci("caret",t),t=VGe(t,e),ci("tildes",t),t=XGe(t,e),ci("xrange",t),t=$Ge(t,e),ci("stars",t),t),Xo=t=>!t||t.toLowerCase()==="x"||t==="*",VGe=(t,e)=>t.trim().split(/\s+/).map(r=>KGe(r,e)).join(" "),KGe=(t,e)=>{let r=e.loose?Da[zo.TILDELOOSE]:Da[zo.TILDE];return t.replace(r,(o,a,n,u,A)=>{ci("tilde",t,o,a,n,u,A);let p;return Xo(a)?p="":Xo(n)?p=`>=${a}.0.0 <${+a+1}.0.0-0`:Xo(u)?p=`>=${a}.${n}.0 <${a}.${+n+1}.0-0`:A?(ci("replaceTilde pr",A),p=`>=${a}.${n}.${u}-${A} <${a}.${+n+1}.0-0`):p=`>=${a}.${n}.${u} <${a}.${+n+1}.0-0`,ci("tilde return",p),p})},JGe=(t,e)=>t.trim().split(/\s+/).map(r=>zGe(r,e)).join(" 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n5e=Ml(),i5e=(t,e,r)=>{try{e=new n5e(e,r)}catch{return!1}return e.test(t)};Cz.exports=i5e});var Iz=_((pQt,wz)=>{var s5e=Ml(),o5e=(t,e)=>new s5e(t,e).set.map(r=>r.map(o=>o.value).join(" ").trim().split(" "));wz.exports=o5e});var vz=_((hQt,Bz)=>{var a5e=Po(),l5e=Ml(),c5e=(t,e,r)=>{let o=null,a=null,n=null;try{n=new l5e(e,r)}catch{return null}return t.forEach(u=>{n.test(u)&&(!o||a.compare(u)===-1)&&(o=u,a=new a5e(o,r))}),o};Bz.exports=c5e});var Pz=_((gQt,Dz)=>{var u5e=Po(),A5e=Ml(),f5e=(t,e,r)=>{let o=null,a=null,n=null;try{n=new A5e(e,r)}catch{return null}return t.forEach(u=>{n.test(u)&&(!o||a.compare(u)===1)&&(o=u,a=new u5e(o,r))}),o};Dz.exports=f5e});var bz=_((dQt,xz)=>{var lN=Po(),p5e=Ml(),Sz=dI(),h5e=(t,e)=>{t=new p5e(t,e);let r=new lN("0.0.0");if(t.test(r)||(r=new lN("0.0.0-0"),t.test(r)))return r;r=null;for(let o=0;o<t.set.length;++o){let a=t.set[o],n=null;a.forEach(u=>{let A=new 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pN=_((xQt,oX)=>{var BI=iX(),sX={};for(let t of Object.keys(BI))sX[BI[t]]=t;var Ar={rgb:{channels:3,labels:"rgb"},hsl:{channels:3,labels:"hsl"},hsv:{channels:3,labels:"hsv"},hwb:{channels:3,labels:"hwb"},cmyk:{channels:4,labels:"cmyk"},xyz:{channels:3,labels:"xyz"},lab:{channels:3,labels:"lab"},lch:{channels:3,labels:"lch"},hex:{channels:1,labels:["hex"]},keyword:{channels:1,labels:["keyword"]},ansi16:{channels:1,labels:["ansi16"]},ansi256:{channels:1,labels:["ansi256"]},hcg:{channels:3,labels:["h","c","g"]},apple:{channels:3,labels:["r16","g16","b16"]},gray:{channels:1,labels:["gray"]}};oX.exports=Ar;for(let t of Object.keys(Ar)){if(!("channels"in Ar[t]))throw new Error("missing channels property: "+t);if(!("labels"in Ar[t]))throw new Error("missing channel labels property: "+t);if(Ar[t].labels.length!==Ar[t].channels)throw new Error("channel and label counts mismatch: "+t);let{channels:e,labels:r}=Ar[t];delete Ar[t].channels,delete 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e=t[0]/255,r=t[1]/255,o=t[2]/255,a=Math.min(1-e,1-r,1-o),n=(1-e-a)/(1-a)||0,u=(1-r-a)/(1-a)||0,A=(1-o-a)/(1-a)||0;return[n*100,u*100,A*100,a*100]};function w9e(t,e){return(t[0]-e[0])**2+(t[1]-e[1])**2+(t[2]-e[2])**2}Ar.rgb.keyword=function(t){let e=sX[t];if(e)return e;let r=1/0,o;for(let a of Object.keys(BI)){let n=BI[a],u=w9e(t,n);u<r&&(r=u,o=a)}return o};Ar.keyword.rgb=function(t){return BI[t]};Ar.rgb.xyz=function(t){let e=t[0]/255,r=t[1]/255,o=t[2]/255;e=e>.04045?((e+.055)/1.055)**2.4:e/12.92,r=r>.04045?((r+.055)/1.055)**2.4:r/12.92,o=o>.04045?((o+.055)/1.055)**2.4:o/12.92;let a=e*.4124+r*.3576+o*.1805,n=e*.2126+r*.7152+o*.0722,u=e*.0193+r*.1192+o*.9505;return[a*100,n*100,u*100]};Ar.rgb.lab=function(t){let e=Ar.rgb.xyz(t),r=e[0],o=e[1],a=e[2];r/=95.047,o/=100,a/=108.883,r=r>.008856?r**(1/3):7.787*r+16/116,o=o>.008856?o**(1/3):7.787*o+16/116,a=a>.008856?a**(1/3):7.787*a+16/116;let n=116*o-16,u=500*(r-o),A=200*(o-a);return[n,u,A]};Ar.hsl.rgb=function(t){let e=t[0]/360,r=t[1]/100,o=t[2]/100,a,n,u;if(r===0)return u=o*255,[u,u,u];o<.5?a=o*(1+r):a=o+r-o*r;let A=2*o-a,p=[0,0,0];for(let h=0;h<3;h++)n=e+1/3*-(h-1),n<0&&n++,n>1&&n--,6*n<1?u=A+(a-A)*6*n:2*n<1?u=a:3*n<2?u=A+(a-A)*(2/3-n)*6:u=A,p[h]=u*255;return p};Ar.hsl.hsv=function(t){let e=t[0],r=t[1]/100,o=t[2]/100,a=r,n=Math.max(o,.01);o*=2,r*=o<=1?o:2-o,a*=n<=1?n:2-n;let u=(o+r)/2,A=o===0?2*a/(n+a):2*r/(o+r);return[e,A*100,u*100]};Ar.hsv.rgb=function(t){let e=t[0]/60,r=t[1]/100,o=t[2]/100,a=Math.floor(e)%6,n=e-Math.floor(e),u=255*o*(1-r),A=255*o*(1-r*n),p=255*o*(1-r*(1-n));switch(o*=255,a){case 0:return[o,p,u];case 1:return[A,o,u];case 2:return[u,o,p];case 3:return[u,A,o];case 4:return[p,u,o];case 5:return[o,u,A]}};Ar.hsv.hsl=function(t){let e=t[0],r=t[1]/100,o=t[2]/100,a=Math.max(o,.01),n,u;u=(2-r)*o;let A=(2-r)*a;return n=r*a,n/=A<=1?A:2-A,n=n||0,u/=2,[e,n*100,u*100]};Ar.hwb.rgb=function(t){let e=t[0]/360,r=t[1]/100,o=t[2]/100,a=r+o,n;a>1&&(r/=a,o/=a);let u=Math.floor(6*e),A=1-o;n=6*e-u,(u&1)!==0&&(n=1-n);let p=r+n*(A-r),h,E,I;switch(u){default:case 6:case 0:h=A,E=p,I=r;break;case 1:h=p,E=A,I=r;break;case 2:h=r,E=A,I=p;break;case 3:h=r,E=p,I=A;break;case 4:h=p,E=r,I=A;break;case 5:h=A,E=r,I=p;break}return[h*255,E*255,I*255]};Ar.cmyk.rgb=function(t){let e=t[0]/100,r=t[1]/100,o=t[2]/100,a=t[3]/100,n=1-Math.min(1,e*(1-a)+a),u=1-Math.min(1,r*(1-a)+a),A=1-Math.min(1,o*(1-a)+a);return[n*255,u*255,A*255]};Ar.xyz.rgb=function(t){let e=t[0]/100,r=t[1]/100,o=t[2]/100,a,n,u;return a=e*3.2406+r*-1.5372+o*-.4986,n=e*-.9689+r*1.8758+o*.0415,u=e*.0557+r*-.204+o*1.057,a=a>.0031308?1.055*a**(1/2.4)-.055:a*12.92,n=n>.0031308?1.055*n**(1/2.4)-.055:n*12.92,u=u>.0031308?1.055*u**(1/2.4)-.055:u*12.92,a=Math.min(Math.max(0,a),1),n=Math.min(Math.max(0,n),1),u=Math.min(Math.max(0,u),1),[a*255,n*255,u*255]};Ar.xyz.lab=function(t){let e=t[0],r=t[1],o=t[2];e/=95.047,r/=100,o/=108.883,e=e>.008856?e**(1/3):7.787*e+16/116,r=r>.008856?r**(1/3):7.787*r+16/116,o=o>.008856?o**(1/3):7.787*o+16/116;let a=116*r-16,n=500*(e-r),u=200*(r-o);return[a,n,u]};Ar.lab.xyz=function(t){let e=t[0],r=t[1],o=t[2],a,n,u;n=(e+16)/116,a=r/500+n,u=n-o/200;let A=n**3,p=a**3,h=u**3;return n=A>.008856?A:(n-16/116)/7.787,a=p>.008856?p:(a-16/116)/7.787,u=h>.008856?h:(u-16/116)/7.787,a*=95.047,n*=100,u*=108.883,[a,n,u]};Ar.lab.lch=function(t){let e=t[0],r=t[1],o=t[2],a;a=Math.atan2(o,r)*360/2/Math.PI,a<0&&(a+=360);let u=Math.sqrt(r*r+o*o);return[e,u,a]};Ar.lch.lab=function(t){let e=t[0],r=t[1],a=t[2]/360*2*Math.PI,n=r*Math.cos(a),u=r*Math.sin(a);return[e,n,u]};Ar.rgb.ansi16=function(t,e=null){let[r,o,a]=t,n=e===null?Ar.rgb.hsv(t)[2]:e;if(n=Math.round(n/50),n===0)return 30;let u=30+(Math.round(a/255)<<2|Math.round(o/255)<<1|Math.round(r/255));return n===2&&(u+=60),u};Ar.hsv.ansi16=function(t){return 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o=parseInt(r,16),a=o>>16&255,n=o>>8&255,u=o&255;return[a,n,u]};Ar.rgb.hcg=function(t){let e=t[0]/255,r=t[1]/255,o=t[2]/255,a=Math.max(Math.max(e,r),o),n=Math.min(Math.min(e,r),o),u=a-n,A,p;return u<1?A=n/(1-u):A=0,u<=0?p=0:a===e?p=(r-o)/u%6:a===r?p=2+(o-e)/u:p=4+(e-r)/u,p/=6,p%=1,[p*360,u*100,A*100]};Ar.hsl.hcg=function(t){let e=t[1]/100,r=t[2]/100,o=r<.5?2*e*r:2*e*(1-r),a=0;return o<1&&(a=(r-.5*o)/(1-o)),[t[0],o*100,a*100]};Ar.hsv.hcg=function(t){let e=t[1]/100,r=t[2]/100,o=e*r,a=0;return o<1&&(a=(r-o)/(1-o)),[t[0],o*100,a*100]};Ar.hcg.rgb=function(t){let e=t[0]/360,r=t[1]/100,o=t[2]/100;if(r===0)return[o*255,o*255,o*255];let a=[0,0,0],n=e%1*6,u=n%1,A=1-u,p=0;switch(Math.floor(n)){case 0:a[0]=1,a[1]=u,a[2]=0;break;case 1:a[0]=A,a[1]=1,a[2]=0;break;case 2:a[0]=0,a[1]=1,a[2]=u;break;case 3:a[0]=0,a[1]=A,a[2]=1;break;case 4:a[0]=u,a[1]=0,a[2]=1;break;default:a[0]=1,a[1]=0,a[2]=A}return p=(1-r)*o,[(r*a[0]+p)*255,(r*a[1]+p)*255,(r*a[2]+p)*255]};Ar.hcg.hsv=function(t){let 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e=="object"?this.weakMap.set(e,r):this.map.set(e,r)}get(e){return typeof e=="object"?this.weakMap.get(e):this.map.get(e)}has(e){return typeof e=="object"?this.weakMap.has(e):this.map.has(e)}};m4.default=d4});var E4=_(y4=>{"use strict";Object.defineProperty(y4,"__esModule",{value:!0});var qit=async t=>{let e=[],r=0;for await(let o of t)e.push(o),r+=Buffer.byteLength(o);return Buffer.isBuffer(e[0])?Buffer.concat(e,r):Buffer.from(e.join(""))};y4.default=qit});var Fae=_(Pd=>{"use strict";Object.defineProperty(Pd,"__esModule",{value:!0});Pd.dnsLookupIpVersionToFamily=Pd.isDnsLookupIpVersion=void 0;var Qae={auto:0,ipv4:4,ipv6:6};Pd.isDnsLookupIpVersion=t=>t in Qae;Pd.dnsLookupIpVersionToFamily=t=>{if(Pd.isDnsLookupIpVersion(t))return Qae[t];throw new Error("Invalid DNS lookup IP version")}});var C4=_(ox=>{"use strict";Object.defineProperty(ox,"__esModule",{value:!0});ox.isResponseOk=void 0;ox.isResponseOk=t=>{let{statusCode:e}=t,r=t.request.options.followRedirect?299:399;return e>=200&&e<=r||e===304}});var Rae=_(w4=>{"use strict";Object.defineProperty(w4,"__esModule",{value:!0});var Tae=new Set;w4.default=t=>{Tae.has(t)||(Tae.add(t),process.emitWarning(`Got: ${t}`,{type:"DeprecationWarning"}))}});var Nae=_(I4=>{"use strict";Object.defineProperty(I4,"__esModule",{value:!0});var Ai=Tf(),Git=(t,e)=>{if(Ai.default.null_(t.encoding))throw new TypeError("To get a Buffer, set `options.responseType` to `buffer` instead");Ai.assert.any([Ai.default.string,Ai.default.undefined],t.encoding),Ai.assert.any([Ai.default.boolean,Ai.default.undefined],t.resolveBodyOnly),Ai.assert.any([Ai.default.boolean,Ai.default.undefined],t.methodRewriting),Ai.assert.any([Ai.default.boolean,Ai.default.undefined],t.isStream),Ai.assert.any([Ai.default.string,Ai.default.undefined],t.responseType),t.responseType===void 0&&(t.responseType="text");let{retry:r}=t;if(e?t.retry={...e.retry}:t.retry={calculateDelay:o=>o.computedValue,limit:0,methods:[],statusCodes:[],errorCodes:[],maxRetryAfter:void 0},Ai.default.object(r)?(t.retry={...t.retry,...r},t.retry.methods=[...new Set(t.retry.methods.map(o=>o.toUpperCase()))],t.retry.statusCodes=[...new Set(t.retry.statusCodes)],t.retry.errorCodes=[...new Set(t.retry.errorCodes)]):Ai.default.number(r)&&(t.retry.limit=r),Ai.default.undefined(t.retry.maxRetryAfter)&&(t.retry.maxRetryAfter=Math.min(...[t.timeout.request,t.timeout.connect].filter(Ai.default.number))),Ai.default.object(t.pagination)){e&&(t.pagination={...e.pagination,...t.pagination});let{pagination:o}=t;if(!Ai.default.function_(o.transform))throw new Error("`options.pagination.transform` must be implemented");if(!Ai.default.function_(o.shouldContinue))throw new Error("`options.pagination.shouldContinue` must be implemented");if(!Ai.default.function_(o.filter))throw new TypeError("`options.pagination.filter` must be implemented");if(!Ai.default.function_(o.paginate))throw new Error("`options.pagination.paginate` must be implemented")}return t.responseType==="json"&&t.headers.accept===void 0&&(t.headers.accept="application/json"),t};I4.default=Git});var Lae=_(d1=>{"use strict";Object.defineProperty(d1,"__esModule",{value:!0});d1.retryAfterStatusCodes=void 0;d1.retryAfterStatusCodes=new Set([413,429,503]);var Yit=({attemptCount:t,retryOptions:e,error:r,retryAfter:o})=>{if(t>e.limit)return 0;let a=e.methods.includes(r.options.method),n=e.errorCodes.includes(r.code),u=r.response&&e.statusCodes.includes(r.response.statusCode);if(!a||!n&&!u)return 0;if(r.response){if(o)return e.maxRetryAfter===void 0||o>e.maxRetryAfter?0:o;if(r.response.statusCode===413)return 0}let A=Math.random()*100;return 2**(t-1)*1e3+A};d1.default=Yit});var E1=_(Bn=>{"use strict";Object.defineProperty(Bn,"__esModule",{value:!0});Bn.UnsupportedProtocolError=Bn.ReadError=Bn.TimeoutError=Bn.UploadError=Bn.CacheError=Bn.HTTPError=Bn.MaxRedirectsError=Bn.RequestError=Bn.setNonEnumerableProperties=Bn.knownHookEvents=Bn.withoutBody=Bn.kIsNormalizedAlready=void 0;var Mae=Be("util"),Oae=Be("stream"),Wit=Be("fs"),oh=Be("url"),Uae=Be("http"),B4=Be("http"),Vit=Be("https"),Kit=eoe(),Jit=aoe(),_ae=Uoe(),zit=qoe(),Xit=yae(),Zit=tx(),st=Tf(),$it=Bae(),Hae=c4(),est=f4(),jae=Pae(),tst=xae(),qae=bae(),rst=kae(),nst=E4(),Gae=Fae(),ist=C4(),ah=Rae(),sst=Nae(),ost=Lae(),v4,Zs=Symbol("request"),cx=Symbol("response"),PE=Symbol("responseSize"),SE=Symbol("downloadedSize"),xE=Symbol("bodySize"),bE=Symbol("uploadedSize"),ax=Symbol("serverResponsesPiped"),Yae=Symbol("unproxyEvents"),Wae=Symbol("isFromCache"),D4=Symbol("cancelTimeouts"),Vae=Symbol("startedReading"),kE=Symbol("stopReading"),lx=Symbol("triggerRead"),lh=Symbol("body"),m1=Symbol("jobs"),Kae=Symbol("originalResponse"),Jae=Symbol("retryTimeout");Bn.kIsNormalizedAlready=Symbol("isNormalizedAlready");var ast=st.default.string(process.versions.brotli);Bn.withoutBody=new Set(["GET","HEAD"]);Bn.knownHookEvents=["init","beforeRequest","beforeRedirect","beforeError","beforeRetry","afterResponse"];function lst(t){for(let e in t){let r=t[e];if(!st.default.string(r)&&!st.default.number(r)&&!st.default.boolean(r)&&!st.default.null_(r)&&!st.default.undefined(r))throw new TypeError(`The \`searchParams\` value '${String(r)}' must be a string, number, boolean or null`)}}function cst(t){return st.default.object(t)&&!("statusCode"in t)}var P4=new rst.default,ust=async t=>new Promise((e,r)=>{let o=a=>{r(a)};t.pending||e(),t.once("error",o),t.once("ready",()=>{t.off("error",o),e()})}),Ast=new Set([300,301,302,303,304,307,308]),fst=["context","body","json","form"];Bn.setNonEnumerableProperties=(t,e)=>{let r={};for(let o of t)if(!!o)for(let a of fst)a in o&&(r[a]={writable:!0,configurable:!0,enumerable:!1,value:o[a]});Object.defineProperties(e,r)};var Ki=class extends Error{constructor(e,r,o){var a;if(super(e),Error.captureStackTrace(this,this.constructor),this.name="RequestError",this.code=r.code,o instanceof dx?(Object.defineProperty(this,"request",{enumerable:!1,value:o}),Object.defineProperty(this,"response",{enumerable:!1,value:o[cx]}),Object.defineProperty(this,"options",{enumerable:!1,value:o.options})):Object.defineProperty(this,"options",{enumerable:!1,value:o}),this.timings=(a=this.request)===null||a===void 0?void 0:a.timings,st.default.string(r.stack)&&st.default.string(this.stack)){let n=this.stack.indexOf(this.message)+this.message.length,u=this.stack.slice(n).split(`
+`).reverse(),A=r.stack.slice(r.stack.indexOf(r.message)+r.message.length).split(`
+`).reverse();for(;A.length!==0&&A[0]===u[0];)u.shift();this.stack=`${this.stack.slice(0,n)}${u.reverse().join(`
+`)}${A.reverse().join(`
+`)}`}}};Bn.RequestError=Ki;var ux=class extends Ki{constructor(e){super(`Redirected ${e.options.maxRedirects} times. Aborting.`,{},e),this.name="MaxRedirectsError"}};Bn.MaxRedirectsError=ux;var Ax=class extends Ki{constructor(e){super(`Response code ${e.statusCode} (${e.statusMessage})`,{},e.request),this.name="HTTPError"}};Bn.HTTPError=Ax;var fx=class extends Ki{constructor(e,r){super(e.message,e,r),this.name="CacheError"}};Bn.CacheError=fx;var px=class extends Ki{constructor(e,r){super(e.message,e,r),this.name="UploadError"}};Bn.UploadError=px;var hx=class extends Ki{constructor(e,r,o){super(e.message,e,o),this.name="TimeoutError",this.event=e.event,this.timings=r}};Bn.TimeoutError=hx;var y1=class extends Ki{constructor(e,r){super(e.message,e,r),this.name="ReadError"}};Bn.ReadError=y1;var gx=class extends Ki{constructor(e){super(`Unsupported protocol "${e.url.protocol}"`,{},e),this.name="UnsupportedProtocolError"}};Bn.UnsupportedProtocolError=gx;var pst=["socket","connect","continue","information","upgrade","timeout"],dx=class extends Oae.Duplex{constructor(e,r={},o){super({autoDestroy:!1,highWaterMark:0}),this[SE]=0,this[bE]=0,this.requestInitialized=!1,this[ax]=new Set,this.redirects=[],this[kE]=!1,this[lx]=!1,this[m1]=[],this.retryCount=0,this._progressCallbacks=[];let a=()=>this._unlockWrite(),n=()=>this._lockWrite();this.on("pipe",h=>{h.prependListener("data",a),h.on("data",n),h.prependListener("end",a),h.on("end",n)}),this.on("unpipe",h=>{h.off("data",a),h.off("data",n),h.off("end",a),h.off("end",n)}),this.on("pipe",h=>{h instanceof B4.IncomingMessage&&(this.options.headers={...h.headers,...this.options.headers})});let{json:u,body:A,form:p}=r;if((u||A||p)&&this._lockWrite(),Bn.kIsNormalizedAlready in r)this.options=r;else try{this.options=this.constructor.normalizeArguments(e,r,o)}catch(h){st.default.nodeStream(r.body)&&r.body.destroy(),this.destroy(h);return}(async()=>{var h;try{this.options.body instanceof Wit.ReadStream&&await ust(this.options.body);let{url:E}=this.options;if(!E)throw new TypeError("Missing `url` property");if(this.requestUrl=E.toString(),decodeURI(this.requestUrl),await this._finalizeBody(),await this._makeRequest(),this.destroyed){(h=this[Zs])===null||h===void 0||h.destroy();return}for(let I of this[m1])I();this[m1].length=0,this.requestInitialized=!0}catch(E){if(E instanceof Ki){this._beforeError(E);return}this.destroyed||this.destroy(E)}})()}static normalizeArguments(e,r,o){var a,n,u,A,p;let h=r;if(st.default.object(e)&&!st.default.urlInstance(e))r={...o,...e,...r};else{if(e&&r&&r.url!==void 0)throw new TypeError("The `url` option is mutually exclusive with the `input` argument");r={...o,...r},e!==void 0&&(r.url=e),st.default.urlInstance(r.url)&&(r.url=new oh.URL(r.url.toString()))}if(r.cache===!1&&(r.cache=void 0),r.dnsCache===!1&&(r.dnsCache=void 0),st.assert.any([st.default.string,st.default.undefined],r.method),st.assert.any([st.default.object,st.default.undefined],r.headers),st.assert.any([st.default.string,st.default.urlInstance,st.default.undefined],r.prefixUrl),st.assert.any([st.default.object,st.default.undefined],r.cookieJar),st.assert.any([st.default.object,st.default.string,st.default.undefined],r.searchParams),st.assert.any([st.default.object,st.default.string,st.default.undefined],r.cache),st.assert.any([st.default.object,st.default.number,st.default.undefined],r.timeout),st.assert.any([st.default.object,st.default.undefined],r.context),st.assert.any([st.default.object,st.default.undefined],r.hooks),st.assert.any([st.default.boolean,st.default.undefined],r.decompress),st.assert.any([st.default.boolean,st.default.undefined],r.ignoreInvalidCookies),st.assert.any([st.default.boolean,st.default.undefined],r.followRedirect),st.assert.any([st.default.number,st.default.undefined],r.maxRedirects),st.assert.any([st.default.boolean,st.default.undefined],r.throwHttpErrors),st.assert.any([st.default.boolean,st.default.undefined],r.http2),st.assert.any([st.default.boolean,st.default.undefined],r.allowGetBody),st.assert.any([st.default.string,st.default.undefined],r.localAddress),st.assert.any([Gae.isDnsLookupIpVersion,st.default.undefined],r.dnsLookupIpVersion),st.assert.any([st.default.object,st.default.undefined],r.https),st.assert.any([st.default.boolean,st.default.undefined],r.rejectUnauthorized),r.https&&(st.assert.any([st.default.boolean,st.default.undefined],r.https.rejectUnauthorized),st.assert.any([st.default.function_,st.default.undefined],r.https.checkServerIdentity),st.assert.any([st.default.string,st.default.object,st.default.array,st.default.undefined],r.https.certificateAuthority),st.assert.any([st.default.string,st.default.object,st.default.array,st.default.undefined],r.https.key),st.assert.any([st.default.string,st.default.object,st.default.array,st.default.undefined],r.https.certificate),st.assert.any([st.default.string,st.default.undefined],r.https.passphrase),st.assert.any([st.default.string,st.default.buffer,st.default.array,st.default.undefined],r.https.pfx)),st.assert.any([st.default.object,st.default.undefined],r.cacheOptions),st.default.string(r.method)?r.method=r.method.toUpperCase():r.method="GET",r.headers===o?.headers?r.headers={...r.headers}:r.headers=Zit({...o?.headers,...r.headers}),"slashes"in r)throw new TypeError("The legacy `url.Url` has been deprecated. Use `URL` instead.");if("auth"in r)throw new TypeError("Parameter `auth` is deprecated. Use `username` / `password` instead.");if("searchParams"in r&&r.searchParams&&r.searchParams!==o?.searchParams){let b;if(st.default.string(r.searchParams)||r.searchParams instanceof oh.URLSearchParams)b=new oh.URLSearchParams(r.searchParams);else{lst(r.searchParams),b=new oh.URLSearchParams;for(let C in r.searchParams){let T=r.searchParams[C];T===null?b.append(C,""):T!==void 0&&b.append(C,T)}}(a=o?.searchParams)===null||a===void 0||a.forEach((C,T)=>{b.has(T)||b.append(T,C)}),r.searchParams=b}if(r.username=(n=r.username)!==null&&n!==void 0?n:"",r.password=(u=r.password)!==null&&u!==void 0?u:"",st.default.undefined(r.prefixUrl)?r.prefixUrl=(A=o?.prefixUrl)!==null&&A!==void 0?A:"":(r.prefixUrl=r.prefixUrl.toString(),r.prefixUrl!==""&&!r.prefixUrl.endsWith("/")&&(r.prefixUrl+="/")),st.default.string(r.url)){if(r.url.startsWith("/"))throw new Error("`input` must not start with a slash when using `prefixUrl`");r.url=qae.default(r.prefixUrl+r.url,r)}else(st.default.undefined(r.url)&&r.prefixUrl!==""||r.protocol)&&(r.url=qae.default(r.prefixUrl,r));if(r.url){"port"in r&&delete r.port;let{prefixUrl:b}=r;Object.defineProperty(r,"prefixUrl",{set:T=>{let L=r.url;if(!L.href.startsWith(T))throw new Error(`Cannot change \`prefixUrl\` from ${b} to ${T}: ${L.href}`);r.url=new oh.URL(T+L.href.slice(b.length)),b=T},get:()=>b});let{protocol:C}=r.url;if(C==="unix:"&&(C="http:",r.url=new oh.URL(`http://unix${r.url.pathname}${r.url.search}`)),r.searchParams&&(r.url.search=r.searchParams.toString()),C!=="http:"&&C!=="https:")throw new gx(r);r.username===""?r.username=r.url.username:r.url.username=r.username,r.password===""?r.password=r.url.password:r.url.password=r.password}let{cookieJar:E}=r;if(E){let{setCookie:b,getCookieString:C}=E;st.assert.function_(b),st.assert.function_(C),b.length===4&&C.length===0&&(b=Mae.promisify(b.bind(r.cookieJar)),C=Mae.promisify(C.bind(r.cookieJar)),r.cookieJar={setCookie:b,getCookieString:C})}let{cache:I}=r;if(I&&(P4.has(I)||P4.set(I,new _ae((b,C)=>{let T=b[Zs](b,C);return st.default.promise(T)&&(T.once=(L,U)=>{if(L==="error")T.catch(U);else if(L==="abort")(async()=>{try{(await T).once("abort",U)}catch{}})();else throw new Error(`Unknown HTTP2 promise event: ${L}`);return T}),T},I))),r.cacheOptions={...r.cacheOptions},r.dnsCache===!0)v4||(v4=new Jit.default),r.dnsCache=v4;else if(!st.default.undefined(r.dnsCache)&&!r.dnsCache.lookup)throw new TypeError(`Parameter \`dnsCache\` must be a CacheableLookup instance or a boolean, got ${st.default(r.dnsCache)}`);st.default.number(r.timeout)?r.timeout={request:r.timeout}:o&&r.timeout!==o.timeout?r.timeout={...o.timeout,...r.timeout}:r.timeout={...r.timeout},r.context||(r.context={});let v=r.hooks===o?.hooks;r.hooks={...r.hooks};for(let b of Bn.knownHookEvents)if(b in r.hooks)if(st.default.array(r.hooks[b]))r.hooks[b]=[...r.hooks[b]];else throw new TypeError(`Parameter \`${b}\` must be an Array, got ${st.default(r.hooks[b])}`);else r.hooks[b]=[];if(o&&!v)for(let b of Bn.knownHookEvents)o.hooks[b].length>0&&(r.hooks[b]=[...o.hooks[b],...r.hooks[b]]);if("family"in r&&ah.default('"options.family" was never documented, please use "options.dnsLookupIpVersion"'),o?.https&&(r.https={...o.https,...r.https}),"rejectUnauthorized"in r&&ah.default('"options.rejectUnauthorized" is now deprecated, please use "options.https.rejectUnauthorized"'),"checkServerIdentity"in r&&ah.default('"options.checkServerIdentity" was never documented, please use "options.https.checkServerIdentity"'),"ca"in r&&ah.default('"options.ca" was never documented, please use "options.https.certificateAuthority"'),"key"in r&&ah.default('"options.key" was never documented, please use "options.https.key"'),"cert"in r&&ah.default('"options.cert" was never documented, please use "options.https.certificate"'),"passphrase"in r&&ah.default('"options.passphrase" was never documented, please use "options.https.passphrase"'),"pfx"in r&&ah.default('"options.pfx" was never documented, please use "options.https.pfx"'),"followRedirects"in r)throw new TypeError("The `followRedirects` option does not exist. Use `followRedirect` instead.");if(r.agent){for(let b in r.agent)if(b!=="http"&&b!=="https"&&b!=="http2")throw new TypeError(`Expected the \`options.agent\` properties to be \`http\`, \`https\` or \`http2\`, got \`${b}\``)}return r.maxRedirects=(p=r.maxRedirects)!==null&&p!==void 0?p:0,Bn.setNonEnumerableProperties([o,h],r),sst.default(r,o)}_lockWrite(){let e=()=>{throw new TypeError("The payload has been already provided")};this.write=e,this.end=e}_unlockWrite(){this.write=super.write,this.end=super.end}async _finalizeBody(){let{options:e}=this,{headers:r}=e,o=!st.default.undefined(e.form),a=!st.default.undefined(e.json),n=!st.default.undefined(e.body),u=o||a||n,A=Bn.withoutBody.has(e.method)&&!(e.method==="GET"&&e.allowGetBody);if(this._cannotHaveBody=A,u){if(A)throw new TypeError(`The \`${e.method}\` method cannot be used with a body`);if([n,o,a].filter(p=>p).length>1)throw new TypeError("The `body`, `json` and `form` options are mutually exclusive");if(n&&!(e.body instanceof 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Error("Unreachable")}getUnixMode(r,o){if(this.libzip.file.getExternalAttributes(this.zip,r,0,0,this.libzip.uint08S,this.libzip.uint32S)===-1)throw this.makeLibzipError(this.libzip.getError(this.zip));return this.libzip.getValue(this.libzip.uint08S,"i8")>>>0!==this.libzip.ZIP_OPSYS_UNIX?o:this.libzip.getValue(this.libzip.uint32S,"i32")>>>16}registerListing(r){let o=this.listings.get(r);if(o)return o;this.registerListing(K.dirname(r)).add(K.basename(r));let n=new Set;return this.listings.set(r,n),n}registerEntry(r,o){this.registerListing(K.dirname(r)).add(K.basename(r)),this.entries.set(r,o)}unregisterListing(r){this.listings.delete(r),this.listings.get(K.dirname(r))?.delete(K.basename(r))}unregisterEntry(r){this.unregisterListing(r);let o=this.entries.get(r);this.entries.delete(r),!(typeof o>"u")&&(this.fileSources.delete(o),this.isSymbolicLink(o)&&this.symlinkCount--)}deleteEntry(r,o){if(this.unregisterEntry(r),this.libzip.delete(this.zip,o)===-1)throw this.makeLibzipError(this.libzip.getError(this.zip))}resolveFilename(r,o,a=!0,n=!0){if(!this.ready)throw ar.EBUSY(`archive closed, ${r}`);let u=K.resolve(Bt.root,o);if(u==="/")return Bt.root;let A=this.entries.get(u);if(a&&A!==void 0)if(this.symlinkCount!==0&&this.isSymbolicLink(A)){let p=this.getFileSource(A).toString();return this.resolveFilename(r,K.resolve(K.dirname(u),p),!0,n)}else return u;for(;;){let p=this.resolveFilename(r,K.dirname(u),!0,n);if(p===void 0)return p;let h=this.listings.has(p),E=this.entries.has(p);if(!h&&!E){if(n===!1)return;throw ar.ENOENT(r)}if(!h)throw ar.ENOTDIR(r);if(u=K.resolve(p,K.basename(u)),!a||this.symlinkCount===0)break;let I=this.libzip.name.locate(this.zip,u.slice(1),0);if(I===-1)break;if(this.isSymbolicLink(I)){let v=this.getFileSource(I).toString();u=K.resolve(K.dirname(u),v)}else break}return u}allocateBuffer(r){Buffer.isBuffer(r)||(r=Buffer.from(r));let o=this.libzip.malloc(r.byteLength);if(!o)throw new Error("Couldn't allocate enough 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this.makeLibzipError(this.libzip.getError(this.zip))}return this.fileSources.set(A,a),A}catch(A){throw this.libzip.source.free(u),A}}isSymbolicLink(r){if(this.symlinkCount===0)return!1;if(this.libzip.file.getExternalAttributes(this.zip,r,0,0,this.libzip.uint08S,this.libzip.uint32S)===-1)throw this.makeLibzipError(this.libzip.getError(this.zip));return this.libzip.getValue(this.libzip.uint08S,"i8")>>>0!==this.libzip.ZIP_OPSYS_UNIX?!1:(this.libzip.getValue(this.libzip.uint32S,"i32")>>>16&ta.constants.S_IFMT)===ta.constants.S_IFLNK}getFileSource(r,o={asyncDecompress:!1}){let a=this.fileSources.get(r);if(typeof a<"u")return a;let n=this.libzip.struct.statS();if(this.libzip.statIndex(this.zip,r,0,0,n)===-1)throw this.makeLibzipError(this.libzip.getError(this.zip));let A=this.libzip.struct.statCompSize(n),p=this.libzip.struct.statCompMethod(n),h=this.libzip.malloc(A);try{let E=this.libzip.fopenIndex(this.zip,r,0,this.libzip.ZIP_FL_COMPRESSED);if(E===0)throw 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a>"u"?a={flag:"a"}:typeof a=="string"?a={flag:"a",encoding:a}:typeof a.flag>"u"&&(a={flag:"a",...a}),this.writeFilePromise(r,o,a)}appendFileSync(r,o,a={}){if(this.readOnly)throw ar.EROFS(`open '${r}'`);return typeof a>"u"?a={flag:"a"}:typeof a=="string"?a={flag:"a",encoding:a}:typeof a.flag>"u"&&(a={flag:"a",...a}),this.writeFileSync(r,o,a)}fdToPath(r,o){let a=this.fds.get(r)?.p;if(typeof a>"u")throw ar.EBADF(o);return a}async writeFilePromise(r,o,a){let{encoding:n,mode:u,index:A,resolvedP:p}=this.prepareWriteFile(r,a);A!==void 0&&typeof a=="object"&&a.flag&&a.flag.includes("a")&&(o=Buffer.concat([await this.getFileSource(A,{asyncDecompress:!0}),Buffer.from(o)])),n!==null&&(o=o.toString(n));let h=this.setFileSource(p,o);h!==A&&this.registerEntry(p,h),u!==null&&await this.chmodPromise(p,u)}writeFileSync(r,o,a){let{encoding:n,mode:u,index:A,resolvedP:p}=this.prepareWriteFile(r,a);A!==void 0&&typeof 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this.utimesSync(r,o,a)}utimesSync(r,o,a){if(this.readOnly)throw ar.EROFS(`utimes '${r}'`);let n=this.resolveFilename(`utimes '${r}'`,r);this.utimesImpl(n,a)}async lutimesPromise(r,o,a){return this.lutimesSync(r,o,a)}lutimesSync(r,o,a){if(this.readOnly)throw ar.EROFS(`lutimes '${r}'`);let n=this.resolveFilename(`utimes '${r}'`,r,!1);this.utimesImpl(n,a)}utimesImpl(r,o){this.listings.has(r)&&(this.entries.has(r)||this.hydrateDirectory(r));let a=this.entries.get(r);if(a===void 0)throw new Error("Unreachable");if(this.libzip.file.setMtime(this.zip,a,0,pot(o),0)===-1)throw this.makeLibzipError(this.libzip.getError(this.zip))}async mkdirPromise(r,o){return this.mkdirSync(r,o)}mkdirSync(r,{mode:o=493,recursive:a=!1}={}){if(a)return this.mkdirpSync(r,{chmod:o});if(this.readOnly)throw ar.EROFS(`mkdir '${r}'`);let n=this.resolveFilename(`mkdir '${r}'`,r);if(this.entries.has(n)||this.listings.has(n))throw ar.EEXIST(`mkdir '${r}'`);this.hydrateDirectory(n),this.chmodSync(n,o)}async rmdirPromise(r,o){return this.rmdirSync(r,o)}rmdirSync(r,{recursive:o=!1}={}){if(this.readOnly)throw ar.EROFS(`rmdir '${r}'`);if(o){this.removeSync(r);return}let a=this.resolveFilename(`rmdir '${r}'`,r),n=this.listings.get(a);if(!n)throw ar.ENOTDIR(`rmdir '${r}'`);if(n.size>0)throw ar.ENOTEMPTY(`rmdir '${r}'`);let u=this.entries.get(a);if(typeof u>"u")throw ar.EINVAL(`rmdir '${r}'`);this.deleteEntry(r,u)}hydrateDirectory(r){let o=this.libzip.dir.add(this.zip,K.relative(Bt.root,r));if(o===-1)throw this.makeLibzipError(this.libzip.getError(this.zip));return this.registerListing(r),this.registerEntry(r,o),o}async linkPromise(r,o){return this.linkSync(r,o)}linkSync(r,o){throw ar.EOPNOTSUPP(`link '${r}' -> '${o}'`)}async symlinkPromise(r,o){return this.symlinkSync(r,o)}symlinkSync(r,o){if(this.readOnly)throw ar.EROFS(`symlink '${r}' -> '${o}'`);let a=this.resolveFilename(`symlink '${r}' -> '${o}'`,o);if(this.listings.has(a))throw ar.EISDIR(`symlink '${r}' -> '${o}'`);if(this.entries.has(a))throw ar.EEXIST(`symlink '${r}' -> '${o}'`);let n=this.setFileSource(a,r);if(this.registerEntry(a,n),this.libzip.file.setExternalAttributes(this.zip,n,0,0,this.libzip.ZIP_OPSYS_UNIX,(ta.constants.S_IFLNK|511)<<16)===-1)throw this.makeLibzipError(this.libzip.getError(this.zip));this.symlinkCount+=1}async readFilePromise(r,o){typeof o=="object"&&(o=o?o.encoding:void 0);let a=await this.readFileBuffer(r,{asyncDecompress:!0});return o?a.toString(o):a}readFileSync(r,o){typeof o=="object"&&(o=o?o.encoding:void 0);let a=this.readFileBuffer(r);return o?a.toString(o):a}readFileBuffer(r,o={asyncDecompress:!1}){typeof r=="number"&&(r=this.fdToPath(r,"read"));let a=this.resolveFilename(`open '${r}'`,r);if(!this.entries.has(a)&&!this.listings.has(a))throw ar.ENOENT(`open '${r}'`);if(r[r.length-1]==="/"&&!this.listings.has(a))throw ar.ENOTDIR(`open '${r}'`);if(this.listings.has(a))throw ar.EISDIR("read");let n=this.entries.get(a);if(n===void 0)throw new Error("Unreachable");return this.getFileSource(n,o)}async readdirPromise(r,o){return this.readdirSync(r,o)}readdirSync(r,o){let a=this.resolveFilename(`scandir '${r}'`,r);if(!this.entries.has(a)&&!this.listings.has(a))throw ar.ENOENT(`scandir '${r}'`);let n=this.listings.get(a);if(!n)throw ar.ENOTDIR(`scandir '${r}'`);if(o?.recursive)if(o?.withFileTypes){let u=Array.from(n,A=>Object.assign(this.statImpl("lstat",K.join(r,A)),{name:A,path:Bt.dot}));for(let A of u){if(!A.isDirectory())continue;let p=K.join(A.path,A.name),h=this.listings.get(K.join(a,p));for(let E of h)u.push(Object.assign(this.statImpl("lstat",K.join(r,p,E)),{name:E,path:p}))}return u}else{let u=[...n];for(let A of u){let p=this.listings.get(K.join(a,A));if(!(typeof p>"u"))for(let h of p)u.push(K.join(A,h))}return u}else return o?.withFileTypes?Array.from(n,u=>Object.assign(this.statImpl("lstat",K.join(r,u)),{name:u,path:void 0})):[...n]}async readlinkPromise(r){let o=this.prepareReadlink(r);return(await this.getFileSource(o,{asyncDecompress:!0})).toString()}readlinkSync(r){let o=this.prepareReadlink(r);return this.getFileSource(o).toString()}prepareReadlink(r){let o=this.resolveFilename(`readlink '${r}'`,r,!1);if(!this.entries.has(o)&&!this.listings.has(o))throw ar.ENOENT(`readlink '${r}'`);if(r[r.length-1]==="/"&&!this.listings.has(o))throw ar.ENOTDIR(`open '${r}'`);if(this.listings.has(o))throw ar.EINVAL(`readlink '${r}'`);let a=this.entries.get(o);if(a===void 0)throw new Error("Unreachable");if(!this.isSymbolicLink(a))throw ar.EINVAL(`readlink '${r}'`);return a}async truncatePromise(r,o=0){let a=this.resolveFilename(`open '${r}'`,r),n=this.entries.get(a);if(typeof n>"u")throw ar.EINVAL(`open '${r}'`);let u=await this.getFileSource(n,{asyncDecompress:!0}),A=Buffer.alloc(o,0);return u.copy(A),await this.writeFilePromise(r,A)}truncateSync(r,o=0){let a=this.resolveFilename(`open '${r}'`,r),n=this.entries.get(a);if(typeof n>"u")throw ar.EINVAL(`open '${r}'`);let u=this.getFileSource(n),A=Buffer.alloc(o,0);return u.copy(A),this.writeFileSync(r,A)}async ftruncatePromise(r,o){return this.truncatePromise(this.fdToPath(r,"ftruncate"),o)}ftruncateSync(r,o){return this.truncateSync(this.fdToPath(r,"ftruncateSync"),o)}watch(r,o,a){let n;switch(typeof o){case"function":case"string":case"undefined":n=!0;break;default:({persistent:n=!0}=o);break}if(!n)return{on:()=>{},close:()=>{}};let u=setInterval(()=>{},24*60*60*1e3);return{on:()=>{},close:()=>{clearInterval(u)}}}watchFile(r,o,a){let n=K.resolve(Bt.root,r);return ry(this,n,o,a)}unwatchFile(r,o){let a=K.resolve(Bt.root,r);return Mg(this,a,o)}}});function jle(t,e,r=Buffer.alloc(0),o){let a=new zi(r),n=I=>I===e||I.startsWith(`${e}/`)?I.slice(0,e.length):null,u=async(I,v)=>()=>a,A=(I,v)=>a,p={...t},h=new Rn(p),E=new _p({baseFs:h,getMountPoint:n,factoryPromise:u,factorySync:A,magicByte:21,maxAge:1/0,typeCheck:o?.typeCheck});return Ww(Hle.default,new Hp(E)),a}var Hle,qle=Et(()=>{Pt();Hle=$e(Be("fs"));aU()});var Gle=Et(()=>{Ole();aU();qle()});var x1={};Kt(x1,{DEFAULT_COMPRESSION_LEVEL:()=>_le,LibzipError:()=>Rx,ZipFS:()=>zi,ZipOpenFS:()=>Jl,getArchivePart:()=>iU,getLibzipPromise:()=>got,getLibzipSync:()=>hot,makeEmptyArchive:()=>Tx,mountMemoryDrive:()=>jle});function hot(){return S1()}async function got(){return S1()}var Yle,nA=Et(()=>{tU();Yle=$e(Rle());Mle();Gle();Tle(()=>{let t=(0,Yle.default)();return Lle(t)})});var FE,Wle=Et(()=>{Pt();qt();b1();FE=class extends nt{constructor(){super(...arguments);this.cwd=ge.String("--cwd",process.cwd(),{description:"The directory to run the command in"});this.commandName=ge.String();this.args=ge.Proxy()}async execute(){let r=this.args.length>0?`${this.commandName} ${this.args.join(" ")}`:this.commandName;return await TE(r,[],{cwd:ue.toPortablePath(this.cwd),stdin:this.context.stdin,stdout:this.context.stdout,stderr:this.context.stderr})}};FE.usage={description:"run a command using yarn's portable shell",details:`
+      This command will run a command using Yarn's portable shell.
+
+      Make sure to escape glob patterns, redirections, and other features that might be expanded by your own shell.
+
+      Note: To escape something from Yarn's shell, you might have to escape it twice, the first time from your own shell.
+
+      Note: Don't use this command in Yarn scripts, as Yarn's shell is automatically used.
+
+      For a list of features, visit: https://github.com/yarnpkg/berry/blob/master/packages/yarnpkg-shell/README.md.
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|55177<=g&&g<=55203?E:g==9757||g==9977||9994<=g&&g<=9997||g==127877||127938<=g&&g<=127940||g==127943||127946<=g&&g<=127948||128066<=g&&g<=128067||128070<=g&&g<=128080||g==128110||128112<=g&&g<=128120||g==128124||128129<=g&&g<=128131||128133<=g&&g<=128135||g==128170||128372<=g&&g<=128373||g==128378||g==128400||128405<=g&&g<=128406||128581<=g&&g<=128583||128587<=g&&g<=128591||g==128675||128692<=g&&g<=128694||g==128704||g==128716||129304<=g&&g<=129308||129310<=g&&g<=129311||g==129318||129328<=g&&g<=129337||129341<=g&&g<=129342||129489<=g&&g<=129501?b:127995<=g&&g<=127999?C:g==8205?T:g==9792||g==9794||9877<=g&&g<=9878||g==9992||g==10084||g==127752||g==127806||g==127859||g==127891||g==127908||g==127912||g==127979||g==127981||g==128139||128187<=g&&g<=128188||g==128295||g==128300||g==128488||g==128640||g==128658?L:128102<=g&&g<=128105?U:I}return 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Flt.Unzip,this[Fa].on("data",n=>this[bb](n)),this[Fa].on("error",n=>this.abort(n)),this[Fa].on("end",n=>{this[Od]=!0,this[bb]()}),this[V1]=!0;let a=this[Fa][o?"end":"write"](e);return this[V1]=!1,a}}this[V1]=!0,this[Fa]?this[Fa].write(e):this[bb](e),this[V1]=!1;let r=this[Gf].length?!1:this[qf]?this[qf].flowing:!0;return!r&&!this[Gf].length&&this[qf].once("drain",o=>this.emit("drain")),r}[R3](e){e&&!this[Ih]&&(this[fi]=this[fi]?Buffer.concat([this[fi],e]):e)}[N3](){if(this[Od]&&!this[AAe]&&!this[Ih]&&!this[Qb]){this[AAe]=!0;let e=this[Md];if(e&&e.blockRemain){let r=this[fi]?this[fi].length:0;this.warn("TAR_BAD_ARCHIVE",`Truncated input (needed ${e.blockRemain} more bytes, only ${r} available)`,{entry:e}),this[fi]&&e.write(this[fi]),e.end()}this[Ud](Fb)}}[bb](e){if(this[Qb])this[R3](e);else if(!e&&!this[fi])this[N3]();else{if(this[Qb]=!0,this[fi]){this[R3](e);let r=this[fi];this[fi]=null,this[kb](r)}else this[kb](e);for(;this[fi]&&this[fi].length>=512&&!this[Ih]&&!this[Rb];){let 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Uct=Be("assert"),_ct=Nb(),vn=Be("fs"),Hct=$E(),Yf=Be("path"),Rfe=gfe(),vfe=r3(),jct=Cfe(),qct=n3(),fl=HE(),Gct=GE(),Yct=V3(),Dfe=Symbol("onEntry"),z3=Symbol("checkFs"),Pfe=Symbol("checkFs2"),Wb=Symbol("pruneCache"),X3=Symbol("isReusable"),tc=Symbol("makeFs"),Z3=Symbol("file"),$3=Symbol("directory"),Vb=Symbol("link"),Sfe=Symbol("symlink"),xfe=Symbol("hardlink"),bfe=Symbol("unsupported"),kfe=Symbol("checkPath"),vh=Symbol("mkdir"),Ro=Symbol("onError"),Gb=Symbol("pending"),Qfe=Symbol("pend"),iC=Symbol("unpend"),K3=Symbol("ended"),J3=Symbol("maybeClose"),e_=Symbol("skip"),J1=Symbol("doChown"),z1=Symbol("uid"),X1=Symbol("gid"),Z1=Symbol("checkedCwd"),Nfe=Be("crypto"),Lfe=Bfe(),Wct=process.env.TESTING_TAR_FAKE_PLATFORM||process.platform,$1=Wct==="win32",Vct=(t,e)=>{if(!$1)return vn.unlink(t,e);let r=t+".DELETE."+Nfe.randomBytes(16).toString("hex");vn.rename(t,r,o=>{if(o)return e(o);vn.unlink(r,e)})},Kct=t=>{if(!$1)return vn.unlinkSync(t);let e=t+".DELETE."+Nfe.randomBytes(16).toString("hex");vn.renameSync(t,e),vn.unlinkSync(e)},Ffe=(t,e,r)=>t===t>>>0?t:e===e>>>0?e:r,Tfe=t=>Yct(Gct(fl(t))).toLowerCase(),Jct=(t,e)=>{e=Tfe(e);for(let r of t.keys()){let o=Tfe(r);(o===e||o.indexOf(e+"/")===0)&&t.delete(r)}},zct=t=>{for(let e of t.keys())t.delete(e)},e2=class extends _ct{constructor(e){if(e||(e={}),e.ondone=r=>{this[K3]=!0,this[J3]()},super(e),this[Z1]=!1,this.reservations=jct(),this.transform=typeof e.transform=="function"?e.transform:null,this.writable=!0,this.readable=!1,this[Gb]=0,this[K3]=!1,this.dirCache=e.dirCache||new Map,typeof e.uid=="number"||typeof e.gid=="number"){if(typeof e.uid!="number"||typeof e.gid!="number")throw new TypeError("cannot set owner without number uid and gid");if(e.preserveOwner)throw new TypeError("cannot preserve owner in archive and also set owner explicitly");this.uid=e.uid,this.gid=e.gid,this.setOwner=!0}else this.uid=null,this.gid=null,this.setOwner=!1;e.preserveOwner===void 0&&typeof e.uid!="number"?this.preserveOwner=process.getuid&&process.getuid()===0:this.preserveOwner=!!e.preserveOwner,this.processUid=(this.preserveOwner||this.setOwner)&&process.getuid?process.getuid():null,this.processGid=(this.preserveOwner||this.setOwner)&&process.getgid?process.getgid():null,this.forceChown=e.forceChown===!0,this.win32=!!e.win32||$1,this.newer=!!e.newer,this.keep=!!e.keep,this.noMtime=!!e.noMtime,this.preservePaths=!!e.preservePaths,this.unlink=!!e.unlink,this.cwd=fl(Yf.resolve(e.cwd||process.cwd())),this.strip=+e.strip||0,this.processUmask=e.noChmod?0:process.umask(),this.umask=typeof e.umask=="number"?e.umask:this.processUmask,this.dmode=e.dmode||511&~this.umask,this.fmode=e.fmode||438&~this.umask,this.on("entry",r=>this[Dfe](r))}warn(e,r,o={}){return(e==="TAR_BAD_ARCHIVE"||e==="TAR_ABORT")&&(o.recoverable=!1),super.warn(e,r,o)}[J3](){this[K3]&&this[Gb]===0&&(this.emit("prefinish"),this.emit("finish"),this.emit("end"),this.emit("close"))}[kfe](e){if(this.strip){let r=fl(e.path).split("/");if(r.length<this.strip)return!1;if(e.path=r.slice(this.strip).join("/"),e.type==="Link"){let o=fl(e.linkpath).split("/");if(o.length>=this.strip)e.linkpath=o.slice(this.strip).join("/");else return!1}}if(!this.preservePaths){let r=fl(e.path),o=r.split("/");if(o.includes("..")||$1&&/^[a-z]:\.\.$/i.test(o[0]))return this.warn("TAR_ENTRY_ERROR","path contains '..'",{entry:e,path:r}),!1;let[a,n]=qct(r);a&&(e.path=n,this.warn("TAR_ENTRY_INFO",`stripping ${a} from absolute path`,{entry:e,path:r}))}if(Yf.isAbsolute(e.path)?e.absolute=fl(Yf.resolve(e.path)):e.absolute=fl(Yf.resolve(this.cwd,e.path)),!this.preservePaths&&e.absolute.indexOf(this.cwd+"/")!==0&&e.absolute!==this.cwd)return this.warn("TAR_ENTRY_ERROR","path escaped extraction target",{entry:e,path:fl(e.path),resolvedPath:e.absolute,cwd:this.cwd}),!1;if(e.absolute===this.cwd&&e.type!=="Directory"&&e.type!=="GNUDumpDir")return!1;if(this.win32){let{root:r}=Yf.win32.parse(e.absolute);e.absolute=r+vfe.encode(e.absolute.substr(r.length));let{root:o}=Yf.win32.parse(e.path);e.path=o+vfe.encode(e.path.substr(o.length))}return!0}[Dfe](e){if(!this[kfe](e))return e.resume();switch(Uct.equal(typeof e.absolute,"string"),e.type){case"Directory":case"GNUDumpDir":e.mode&&(e.mode=e.mode|448);case"File":case"OldFile":case"ContiguousFile":case"Link":case"SymbolicLink":return this[z3](e);case"CharacterDevice":case"BlockDevice":case"FIFO":default:return this[bfe](e)}}[Ro](e,r){e.name==="CwdError"?this.emit("error",e):(this.warn("TAR_ENTRY_ERROR",e,{entry:r}),this[iC](),r.resume())}[vh](e,r,o){Rfe(fl(e),{uid:this.uid,gid:this.gid,processUid:this.processUid,processGid:this.processGid,umask:this.processUmask,preserve:this.preservePaths,unlink:this.unlink,cache:this.dirCache,cwd:this.cwd,mode:r,noChmod:this.noChmod},o)}[J1](e){return this.forceChown||this.preserveOwner&&(typeof e.uid=="number"&&e.uid!==this.processUid||typeof e.gid=="number"&&e.gid!==this.processGid)||typeof this.uid=="number"&&this.uid!==this.processUid||typeof this.gid=="number"&&this.gid!==this.processGid}[z1](e){return Ffe(this.uid,e.uid,this.processUid)}[X1](e){return Ffe(this.gid,e.gid,this.processGid)}[Z3](e,r){let o=e.mode&4095||this.fmode,a=new Hct.WriteStream(e.absolute,{flags:Lfe(e.size),mode:o,autoClose:!1});a.on("error",p=>{a.fd&&vn.close(a.fd,()=>{}),a.write=()=>!0,this[Ro](p,e),r()});let n=1,u=p=>{if(p){a.fd&&vn.close(a.fd,()=>{}),this[Ro](p,e),r();return}--n===0&&vn.close(a.fd,h=>{h?this[Ro](h,e):this[iC](),r()})};a.on("finish",p=>{let h=e.absolute,E=a.fd;if(e.mtime&&!this.noMtime){n++;let I=e.atime||new Date,v=e.mtime;vn.futimes(E,I,v,b=>b?vn.utimes(h,I,v,C=>u(C&&b)):u())}if(this[J1](e)){n++;let I=this[z1](e),v=this[X1](e);vn.fchown(E,I,v,b=>b?vn.chown(h,I,v,C=>u(C&&b)):u())}u()});let A=this.transform&&this.transform(e)||e;A!==e&&(A.on("error",p=>{this[Ro](p,e),r()}),e.pipe(A)),A.pipe(a)}[$3](e,r){let o=e.mode&4095||this.dmode;this[vh](e.absolute,o,a=>{if(a){this[Ro](a,e),r();return}let n=1,u=A=>{--n===0&&(r(),this[iC](),e.resume())};e.mtime&&!this.noMtime&&(n++,vn.utimes(e.absolute,e.atime||new Date,e.mtime,u)),this[J1](e)&&(n++,vn.chown(e.absolute,this[z1](e),this[X1](e),u)),u()})}[bfe](e){e.unsupported=!0,this.warn("TAR_ENTRY_UNSUPPORTED",`unsupported entry type: ${e.type}`,{entry:e}),e.resume()}[Sfe](e,r){this[Vb](e,e.linkpath,"symlink",r)}[xfe](e,r){let o=fl(Yf.resolve(this.cwd,e.linkpath));this[Vb](e,o,"link",r)}[Qfe](){this[Gb]++}[iC](){this[Gb]--,this[J3]()}[e_](e){this[iC](),e.resume()}[X3](e,r){return e.type==="File"&&!this.unlink&&r.isFile()&&r.nlink<=1&&!$1}[z3](e){this[Qfe]();let r=[e.path];e.linkpath&&r.push(e.linkpath),this.reservations.reserve(r,o=>this[Pfe](e,o))}[Wb](e){e.type==="SymbolicLink"?zct(this.dirCache):e.type!=="Directory"&&Jct(this.dirCache,e.absolute)}[Pfe](e,r){this[Wb](e);let o=A=>{this[Wb](e),r(A)},a=()=>{this[vh](this.cwd,this.dmode,A=>{if(A){this[Ro](A,e),o();return}this[Z1]=!0,n()})},n=()=>{if(e.absolute!==this.cwd){let A=fl(Yf.dirname(e.absolute));if(A!==this.cwd)return this[vh](A,this.dmode,p=>{if(p){this[Ro](p,e),o();return}u()})}u()},u=()=>{vn.lstat(e.absolute,(A,p)=>{if(p&&(this.keep||this.newer&&p.mtime>e.mtime)){this[e_](e),o();return}if(A||this[X3](e,p))return this[tc](null,e,o);if(p.isDirectory()){if(e.type==="Directory"){let h=!this.noChmod&&e.mode&&(p.mode&4095)!==e.mode,E=I=>this[tc](I,e,o);return h?vn.chmod(e.absolute,e.mode,E):E()}if(e.absolute!==this.cwd)return vn.rmdir(e.absolute,h=>this[tc](h,e,o))}if(e.absolute===this.cwd)return this[tc](null,e,o);Vct(e.absolute,h=>this[tc](h,e,o))})};this[Z1]?n():a()}[tc](e,r,o){if(e){this[Ro](e,r),o();return}switch(r.type){case"File":case"OldFile":case"ContiguousFile":return this[Z3](r,o);case"Link":return this[xfe](r,o);case"SymbolicLink":return this[Sfe](r,o);case"Directory":case"GNUDumpDir":return this[$3](r,o)}}[Vb](e,r,o,a){vn[o](r,e.absolute,n=>{n?this[Ro](n,e):(this[iC](),e.resume()),a()})}},Yb=t=>{try{return[null,t()]}catch(e){return[e,null]}},t_=class extends e2{[tc](e,r){return super[tc](e,r,()=>{})}[z3](e){if(this[Wb](e),!this[Z1]){let n=this[vh](this.cwd,this.dmode);if(n)return this[Ro](n,e);this[Z1]=!0}if(e.absolute!==this.cwd){let n=fl(Yf.dirname(e.absolute));if(n!==this.cwd){let u=this[vh](n,this.dmode);if(u)return this[Ro](u,e)}}let[r,o]=Yb(()=>vn.lstatSync(e.absolute));if(o&&(this.keep||this.newer&&o.mtime>e.mtime))return this[e_](e);if(r||this[X3](e,o))return this[tc](null,e);if(o.isDirectory()){if(e.type==="Directory"){let u=!this.noChmod&&e.mode&&(o.mode&4095)!==e.mode,[A]=u?Yb(()=>{vn.chmodSync(e.absolute,e.mode)}):[];return this[tc](A,e)}let[n]=Yb(()=>vn.rmdirSync(e.absolute));this[tc](n,e)}let[a]=e.absolute===this.cwd?[]:Yb(()=>Kct(e.absolute));this[tc](a,e)}[Z3](e,r){let o=e.mode&4095||this.fmode,a=A=>{let p;try{vn.closeSync(n)}catch(h){p=h}(A||p)&&this[Ro](A||p,e),r()},n;try{n=vn.openSync(e.absolute,Lfe(e.size),o)}catch(A){return a(A)}let u=this.transform&&this.transform(e)||e;u!==e&&(u.on("error",A=>this[Ro](A,e)),e.pipe(u)),u.on("data",A=>{try{vn.writeSync(n,A,0,A.length)}catch(p){a(p)}}),u.on("end",A=>{let p=null;if(e.mtime&&!this.noMtime){let h=e.atime||new Date,E=e.mtime;try{vn.futimesSync(n,h,E)}catch(I){try{vn.utimesSync(e.absolute,h,E)}catch{p=I}}}if(this[J1](e)){let h=this[z1](e),E=this[X1](e);try{vn.fchownSync(n,h,E)}catch(I){try{vn.chownSync(e.absolute,h,E)}catch{p=p||I}}}a(p)})}[$3](e,r){let o=e.mode&4095||this.dmode,a=this[vh](e.absolute,o);if(a){this[Ro](a,e),r();return}if(e.mtime&&!this.noMtime)try{vn.utimesSync(e.absolute,e.atime||new Date,e.mtime)}catch{}if(this[J1](e))try{vn.chownSync(e.absolute,this[z1](e),this[X1](e))}catch{}r(),e.resume()}[vh](e,r){try{return Rfe.sync(fl(e),{uid:this.uid,gid:this.gid,processUid:this.processUid,processGid:this.processGid,umask:this.processUmask,preserve:this.preservePaths,unlink:this.unlink,cache:this.dirCache,cwd:this.cwd,mode:r})}catch(o){return o}}[Vb](e,r,o,a){try{vn[o+"Sync"](r,e.absolute),a(),e.resume()}catch(n){return this[Ro](n,e)}}};e2.Sync=t_;Mfe.exports=e2});var jfe=_((SUt,Hfe)=>{"use strict";var Xct=LE(),Kb=r_(),Ufe=Be("fs"),_fe=$E(),Ofe=Be("path"),n_=GE();Hfe.exports=(t,e,r)=>{typeof t=="function"?(r=t,e=null,t={}):Array.isArray(t)&&(e=t,t={}),typeof e=="function"&&(r=e,e=null),e?e=Array.from(e):e=[];let o=Xct(t);if(o.sync&&typeof r=="function")throw new TypeError("callback not supported for sync tar functions");if(!o.file&&typeof r=="function")throw new TypeError("callback only supported with file option");return e.length&&Zct(o,e),o.file&&o.sync?$ct(o):o.file?eut(o,r):o.sync?tut(o):rut(o)};var Zct=(t,e)=>{let r=new Map(e.map(n=>[n_(n),!0])),o=t.filter,a=(n,u)=>{let A=u||Ofe.parse(n).root||".",p=n===A?!1:r.has(n)?r.get(n):a(Ofe.dirname(n),A);return r.set(n,p),p};t.filter=o?(n,u)=>o(n,u)&&a(n_(n)):n=>a(n_(n))},$ct=t=>{let e=new Kb.Sync(t),r=t.file,o=Ufe.statSync(r),a=t.maxReadSize||16*1024*1024;new _fe.ReadStreamSync(r,{readSize:a,size:o.size}).pipe(e)},eut=(t,e)=>{let r=new Kb(t),o=t.maxReadSize||16*1024*1024,a=t.file,n=new Promise((u,A)=>{r.on("error",A),r.on("close",u),Ufe.stat(a,(p,h)=>{if(p)A(p);else{let E=new _fe.ReadStream(a,{readSize:o,size:h.size});E.on("error",A),E.pipe(r)}})});return e?n.then(e,e):n},tut=t=>new Kb.Sync(t),rut=t=>new Kb(t)});var qfe=_(us=>{"use strict";us.c=us.create=vAe();us.r=us.replace=O3();us.t=us.list=Lb();us.u=us.update=TAe();us.x=us.extract=jfe();us.Pack=wb();us.Unpack=r_();us.Parse=Nb();us.ReadEntry=nb();us.WriteEntry=p3();us.Header=qE();us.Pax=sb();us.types=JU()});var i_,Gfe,Dh,t2,r2,Yfe=Et(()=>{i_=$e(nd()),Gfe=Be("worker_threads"),Dh=Symbol("kTaskInfo"),t2=class{constructor(e,r){this.fn=e;this.limit=(0,i_.default)(r.poolSize)}run(e){return this.limit(()=>this.fn(e))}},r2=class{constructor(e,r){this.source=e;this.workers=[];this.limit=(0,i_.default)(r.poolSize),this.cleanupInterval=setInterval(()=>{if(this.limit.pendingCount===0&&this.limit.activeCount===0){let o=this.workers.pop();o?o.terminate():clearInterval(this.cleanupInterval)}},5e3).unref()}createWorker(){this.cleanupInterval.refresh();let e=new Gfe.Worker(this.source,{eval:!0,execArgv:[...process.execArgv,"--unhandled-rejections=strict"]});return e.on("message",r=>{if(!e[Dh])throw new Error("Assertion failed: Worker sent a result without having a task assigned");e[Dh].resolve(r),e[Dh]=null,e.unref(),this.workers.push(e)}),e.on("error",r=>{e[Dh]?.reject(r),e[Dh]=null}),e.on("exit",r=>{r!==0&&e[Dh]?.reject(new Error(`Worker exited with code ${r}`)),e[Dh]=null}),e}run(e){return this.limit(()=>{let r=this.workers.pop()??this.createWorker();return r.ref(),new Promise((o,a)=>{r[Dh]={resolve:o,reject:a},r.postMessage(e)})})}}});var Vfe=_((QUt,Wfe)=>{var s_;Wfe.exports.getContent=()=>(typeof s_>"u"&&(s_=Be("zlib").brotliDecompressSync(Buffer.from("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ek,tk,rk,Xpe,F_,Q_,T_,nk,kAt,QAt,Jpe,FAt,TAt,RAt,pl,k_,ik,zpe,St,Zpe=Et(()=>{Pt();Pt();Nl();qt();ek=Be("crypto");w_();tk=$e(S_()),rk=$e(nd()),Xpe=$e(zn()),F_=Be("util"),Q_=$e(Be("v8")),T_=$e(Be("zlib"));f_();D1();p_();h_();AE();fO();Yl();Vpe();L1();x_();Bd();b_();VS();ql();rh();jl();Dx();DU();kf();xo();nk=Ky(process.env.YARN_LOCKFILE_VERSION_OVERRIDE??8),kAt=3,QAt=/ *, */g,Jpe=/\/$/,FAt=32,TAt=(0,F_.promisify)(T_.default.gzip),RAt=(0,F_.promisify)(T_.default.gunzip),pl=(r=>(r.UpdateLockfile="update-lockfile",r.SkipBuild="skip-build",r))(pl||{}),k_={restoreLinkersCustomData:["linkersCustomData"],restoreResolutions:["accessibleLocators","conditionalLocators","disabledLocators","optionalBuilds","storedDescriptors","storedResolutions","storedPackages","lockFileChecksum"],restoreBuildState:["skippedBuilds","storedBuildState"]},ik=(o=>(o[o.NotProvided=0]="NotProvided",o[o.NotCompatible=1]="NotCompatible",o[o.NotCompatibleAggregate=2]="NotCompatibleAggregate",o))(ik||{}),zpe=t=>zs(`${kAt}`,t),St=class{constructor(e,{configuration:r}){this.resolutionAliases=new Map;this.workspaces=[];this.workspacesByCwd=new Map;this.workspacesByIdent=new Map;this.storedResolutions=new Map;this.storedDescriptors=new Map;this.storedPackages=new Map;this.storedChecksums=new Map;this.storedBuildState=new Map;this.accessibleLocators=new Set;this.conditionalLocators=new Set;this.disabledLocators=new Set;this.originalPackages=new Map;this.optionalBuilds=new Set;this.skippedBuilds=new Set;this.lockfileLastVersion=null;this.lockfileNeedsRefresh=!1;this.peerRequirements=new Map;this.peerWarnings=[];this.linkersCustomData=new Map;this.lockFileChecksum=null;this.installStateChecksum=null;this.configuration=r,this.cwd=e}static async find(e,r){if(!e.projectCwd)throw new it(`No project found in ${r}`);let o=e.projectCwd,a=r,n=null;for(;n!==e.projectCwd;){if(n=a,oe.existsSync(K.join(n,dr.manifest))){o=n;break}a=K.dirname(n)}let u=new St(e.projectCwd,{configuration:e});Ve.telemetry?.reportProject(u.cwd),await u.setupResolutions(),await u.setupWorkspaces(),Ve.telemetry?.reportWorkspaceCount(u.workspaces.length),Ve.telemetry?.reportDependencyCount(u.workspaces.reduce((C,T)=>C+T.manifest.dependencies.size+T.manifest.devDependencies.size,0));let A=u.tryWorkspaceByCwd(o);if(A)return{project:u,workspace:A,locator:A.anchoredLocator};let p=await u.findLocatorForLocation(`${o}/`,{strict:!0});if(p)return{project:u,locator:p,workspace:null};let h=Ot(e,u.cwd,yt.PATH),E=Ot(e,K.relative(u.cwd,o),yt.PATH),I=`- If ${h} isn't intended to be a project, remove any yarn.lock and/or package.json file there.`,v=`- If ${h} is intended to be a project, it might be that you forgot to list ${E} in its workspace configuration.`,b=`- Finally, if ${h} is fine and you intend ${E} to be treated as a completely separate project (not even a workspace), create an empty yarn.lock file in it.`;throw new it(`The nearest package directory (${Ot(e,o,yt.PATH)}) doesn't seem to be part of the project declared in ${Ot(e,u.cwd,yt.PATH)}.
+
+${[I,v,b].join(`
+`)}`)}async setupResolutions(){this.storedResolutions=new Map,this.storedDescriptors=new Map,this.storedPackages=new Map,this.lockFileChecksum=null;let e=K.join(this.cwd,dr.lockfile),r=this.configuration.get("defaultLanguageName");if(oe.existsSync(e)){let o=await oe.readFilePromise(e,"utf8");this.lockFileChecksum=zpe(o);let a=Vi(o);if(a.__metadata){let n=a.__metadata.version,u=a.__metadata.cacheKey;this.lockfileLastVersion=n,this.lockfileNeedsRefresh=n<nk;for(let A of Object.keys(a)){if(A==="__metadata")continue;let p=a[A];if(typeof p.resolution>"u")throw new Error(`Assertion failed: Expected the lockfile entry to have a resolution field (${A})`);let h=xf(p.resolution,!0),E=new Mt;E.load(p,{yamlCompatibilityMode:!0});let I=E.version,v=E.languageName||r,b=p.linkType.toUpperCase(),C=p.conditions??null,T=E.dependencies,L=E.peerDependencies,U=E.dependenciesMeta,J=E.peerDependenciesMeta,te=E.bin;if(p.checksum!=null){let pe=typeof u<"u"&&!p.checksum.includes("/")?`${u}/${p.checksum}`:p.checksum;this.storedChecksums.set(h.locatorHash,pe)}let le={...h,version:I,languageName:v,linkType:b,conditions:C,dependencies:T,peerDependencies:L,dependenciesMeta:U,peerDependenciesMeta:J,bin:te};this.originalPackages.set(le.locatorHash,le);for(let pe of A.split(QAt)){let Ae=nh(pe);n<=6&&(Ae=this.configuration.normalizeDependency(Ae),Ae=In(Ae,Ae.range.replace(/^patch:[^@]+@(?!npm(:|%3A))/,"$1npm%3A"))),this.storedDescriptors.set(Ae.descriptorHash,Ae),this.storedResolutions.set(Ae.descriptorHash,h.locatorHash)}}}else o.includes("yarn lockfile v1")&&(this.lockfileLastVersion=-1)}}async setupWorkspaces(){this.workspaces=[],this.workspacesByCwd=new Map,this.workspacesByIdent=new Map;let e=new Set,r=(0,rk.default)(4),o=async(a,n)=>{if(e.has(n))return a;e.add(n);let u=new lC(n,{project:this});await r(()=>u.setup());let A=a.then(()=>{this.addWorkspace(u)});return Array.from(u.workspacesCwds).reduce(o,A)};await o(Promise.resolve(),this.cwd)}addWorkspace(e){let r=this.workspacesByIdent.get(e.anchoredLocator.identHash);if(typeof r<"u")throw new Error(`Duplicate workspace name ${cs(this.configuration,e.anchoredLocator)}: ${ue.fromPortablePath(e.cwd)} conflicts with ${ue.fromPortablePath(r.cwd)}`);this.workspaces.push(e),this.workspacesByCwd.set(e.cwd,e),this.workspacesByIdent.set(e.anchoredLocator.identHash,e)}get topLevelWorkspace(){return this.getWorkspaceByCwd(this.cwd)}tryWorkspaceByCwd(e){K.isAbsolute(e)||(e=K.resolve(this.cwd,e)),e=K.normalize(e).replace(/\/+$/,"");let r=this.workspacesByCwd.get(e);return r||null}getWorkspaceByCwd(e){let r=this.tryWorkspaceByCwd(e);if(!r)throw new Error(`Workspace not found (${e})`);return r}tryWorkspaceByFilePath(e){let r=null;for(let o of this.workspaces)K.relative(o.cwd,e).startsWith("../")||r&&r.cwd.length>=o.cwd.length||(r=o);return r||null}getWorkspaceByFilePath(e){let r=this.tryWorkspaceByFilePath(e);if(!r)throw new Error(`Workspace not found (${e})`);return r}tryWorkspaceByIdent(e){let r=this.workspacesByIdent.get(e.identHash);return typeof r>"u"?null:r}getWorkspaceByIdent(e){let r=this.tryWorkspaceByIdent(e);if(!r)throw new Error(`Workspace not found (${cs(this.configuration,e)})`);return r}tryWorkspaceByDescriptor(e){if(e.range.startsWith(Xn.protocol)){let o=e.range.slice(Xn.protocol.length);if(o!=="^"&&o!=="~"&&o!=="*"&&!ba(o))return this.tryWorkspaceByCwd(o)}let r=this.tryWorkspaceByIdent(e);return r===null||(Sf(e)&&(e=e1(e)),!r.accepts(e.range))?null:r}getWorkspaceByDescriptor(e){let r=this.tryWorkspaceByDescriptor(e);if(r===null)throw new Error(`Workspace not found (${qn(this.configuration,e)})`);return r}tryWorkspaceByLocator(e){let r=this.tryWorkspaceByIdent(e);return r===null||(Hc(e)&&(e=t1(e)),r.anchoredLocator.locatorHash!==e.locatorHash)?null:r}getWorkspaceByLocator(e){let r=this.tryWorkspaceByLocator(e);if(!r)throw new Error(`Workspace not found (${jr(this.configuration,e)})`);return r}deleteDescriptor(e){this.storedResolutions.delete(e),this.storedDescriptors.delete(e)}deleteLocator(e){this.originalPackages.delete(e),this.storedPackages.delete(e),this.accessibleLocators.delete(e)}forgetResolution(e){if("descriptorHash"in e){let r=this.storedResolutions.get(e.descriptorHash);this.deleteDescriptor(e.descriptorHash);let o=new Set(this.storedResolutions.values());typeof r<"u"&&!o.has(r)&&this.deleteLocator(r)}if("locatorHash"in e){this.deleteLocator(e.locatorHash);for(let[r,o]of this.storedResolutions)o===e.locatorHash&&this.deleteDescriptor(r)}}forgetTransientResolutions(){let e=this.configuration.makeResolver(),r=new Map;for(let[o,a]of this.storedResolutions.entries()){let n=r.get(a);n||r.set(a,n=new Set),n.add(o)}for(let o of this.originalPackages.values()){let a;try{a=e.shouldPersistResolution(o,{project:this,resolver:e})}catch{a=!1}if(!a){this.deleteLocator(o.locatorHash);let n=r.get(o.locatorHash);if(n){r.delete(o.locatorHash);for(let u of n)this.deleteDescriptor(u)}}}}forgetVirtualResolutions(){for(let e of this.storedPackages.values())for(let[r,o]of e.dependencies)Sf(o)&&e.dependencies.set(r,e1(o))}getDependencyMeta(e,r){let o={},n=this.topLevelWorkspace.manifest.dependenciesMeta.get(fn(e));if(!n)return o;let u=n.get(null);if(u&&Object.assign(o,u),r===null||!Xpe.default.valid(r))return o;for(let[A,p]of n)A!==null&&A===r&&Object.assign(o,p);return o}async findLocatorForLocation(e,{strict:r=!1}={}){let o=new Qi,a=this.configuration.getLinkers(),n={project:this,report:o};for(let u of a){let A=await u.findPackageLocator(e,n);if(A){if(r&&(await u.findPackageLocation(A,n)).replace(Jpe,"")!==e.replace(Jpe,""))continue;return A}}return null}async loadUserConfig(){let e=K.join(this.cwd,".pnp.cjs");await oe.existsPromise(e)&&vf(e).setup();let r=K.join(this.cwd,"yarn.config.cjs");return await oe.existsPromise(r)?vf(r):null}async preparePackage(e,{resolver:r,resolveOptions:o}){let a=await this.configuration.getPackageExtensions(),n=this.configuration.normalizePackage(e,{packageExtensions:a});for(let[u,A]of n.dependencies){let p=await this.configuration.reduceHook(E=>E.reduceDependency,A,this,n,A,{resolver:r,resolveOptions:o});if(!r1(A,p))throw new Error("Assertion failed: The descriptor ident cannot be changed through aliases");let h=r.bindDescriptor(p,n,o);n.dependencies.set(u,h)}return n}async resolveEverything(e){if(!this.workspacesByCwd||!this.workspacesByIdent)throw new Error("Workspaces must have been setup before calling this function");this.forgetVirtualResolutions();let r=new Map(this.originalPackages),o=[];e.lockfileOnly||this.forgetTransientResolutions();let a=e.resolver||this.configuration.makeResolver(),n=new sC(a);await n.setup(this,{report:e.report});let u=e.lockfileOnly?[new $b(a)]:[n,a],A=new vd([new oC(a),...u]),p=new vd([...u]),h=this.configuration.makeFetcher(),E=e.lockfileOnly?{project:this,report:e.report,resolver:A}:{project:this,report:e.report,resolver:A,fetchOptions:{project:this,cache:e.cache,checksums:this.storedChecksums,report:e.report,fetcher:h,cacheOptions:{mirrorWriteOnly:!0}}},I=new Map,v=new Map,b=new Map,C=new Map,T=new Map,L=new Map,U=this.topLevelWorkspace.anchoredLocator,J=new Set,te=[],le=_4(),pe=this.configuration.getSupportedArchitectures();await e.report.startProgressPromise(Xs.progressViaTitle(),async ce=>{let ne=async H=>{let lt=await Wy(async()=>await A.resolve(H,E),_e=>`${jr(this.configuration,H)}: ${_e}`);if(!n1(H,lt))throw new Error(`Assertion failed: The locator cannot be changed by the resolver (went from ${jr(this.configuration,H)} to ${jr(this.configuration,lt)})`);C.set(lt.locatorHash,lt),!r.delete(lt.locatorHash)&&!this.tryWorkspaceByLocator(lt)&&o.push(lt);let Qe=await this.preparePackage(lt,{resolver:A,resolveOptions:E}),be=Uc([...Qe.dependencies.values()].map(_e=>ht(_e)));return te.push(be),be.catch(()=>{}),v.set(Qe.locatorHash,Qe),Qe},ee=async H=>{let lt=T.get(H.locatorHash);if(typeof lt<"u")return lt;let Re=Promise.resolve().then(()=>ne(H));return T.set(H.locatorHash,Re),Re},Ie=async(H,lt)=>{let Re=await ht(lt);return I.set(H.descriptorHash,H),b.set(H.descriptorHash,Re.locatorHash),Re},ke=async H=>{ce.setTitle(qn(this.configuration,H));let lt=this.resolutionAliases.get(H.descriptorHash);if(typeof lt<"u")return Ie(H,this.storedDescriptors.get(lt));let Re=A.getResolutionDependencies(H,E),Qe=Object.fromEntries(await Uc(Object.entries(Re).map(async([Te,Je])=>{let He=A.bindDescriptor(Je,U,E),x=await ht(He);return J.add(x.locatorHash),[Te,x]}))),_e=(await Wy(async()=>await A.getCandidates(H,Qe,E),Te=>`${qn(this.configuration,H)}: ${Te}`))[0];if(typeof _e>"u")throw new zt(82,`${qn(this.configuration,H)}: No candidates found`);if(e.checkResolutions){let{locators:Te}=await p.getSatisfying(H,Qe,[_e],{...E,resolver:p});if(!Te.find(Je=>Je.locatorHash===_e.locatorHash))throw new zt(78,`Invalid resolution ${XI(this.configuration,H,_e)}`)}return I.set(H.descriptorHash,H),b.set(H.descriptorHash,_e.locatorHash),ee(_e)},ht=H=>{let lt=L.get(H.descriptorHash);if(typeof lt<"u")return lt;I.set(H.descriptorHash,H);let Re=Promise.resolve().then(()=>ke(H));return L.set(H.descriptorHash,Re),Re};for(let H of this.workspaces){let lt=H.anchoredDescriptor;te.push(ht(lt))}for(;te.length>0;){let H=[...te];te.length=0,await Uc(H)}});let Ae=sl(r.values(),ce=>this.tryWorkspaceByLocator(ce)?sl.skip:ce);if(o.length>0||Ae.length>0){let ce=new Set(this.workspaces.flatMap(H=>{let lt=v.get(H.anchoredLocator.locatorHash);if(!lt)throw new Error("Assertion failed: The workspace should have been resolved");return Array.from(lt.dependencies.values(),Re=>{let Qe=b.get(Re.descriptorHash);if(!Qe)throw new Error("Assertion failed: The resolution should have been registered");return Qe})})),ne=H=>ce.has(H.locatorHash)?"0":"1",ee=H=>xa(H),Ie=ks(o,[ne,ee]),ke=ks(Ae,[ne,ee]),ht=e.report.getRecommendedLength();Ie.length>0&&e.report.reportInfo(85,`${Ot(this.configuration,"+",yt.ADDED)} ${cS(this.configuration,Ie,ht)}`),ke.length>0&&e.report.reportInfo(85,`${Ot(this.configuration,"-",yt.REMOVED)} ${cS(this.configuration,ke,ht)}`)}let ye=new Set(this.resolutionAliases.values()),ae=new Set(v.keys()),we=new Set,Pe=new Map,g=[];NAt({project:this,accessibleLocators:we,volatileDescriptors:ye,optionalBuilds:ae,peerRequirements:Pe,peerWarnings:g,allDescriptors:I,allResolutions:b,allPackages:v});for(let ce of J)ae.delete(ce);for(let ce of ye)I.delete(ce),b.delete(ce);let Ee=new Set,De=new Set;for(let ce of v.values())ce.conditions!=null&&(!ae.has(ce.locatorHash)||(qS(ce,pe)||(qS(ce,le)&&e.report.reportWarningOnce(77,`${jr(this.configuration,ce)}: Your current architecture (${process.platform}-${process.arch}) is supported by this package, but is missing from the ${Ot(this.configuration,"supportedArchitectures",yt.SETTING)} setting`),De.add(ce.locatorHash)),Ee.add(ce.locatorHash)));this.storedResolutions=b,this.storedDescriptors=I,this.storedPackages=v,this.accessibleLocators=we,this.conditionalLocators=Ee,this.disabledLocators=De,this.originalPackages=C,this.optionalBuilds=ae,this.peerRequirements=Pe,this.peerWarnings=g}async fetchEverything({cache:e,report:r,fetcher:o,mode:a,persistProject:n=!0}){let u={mockedPackages:this.disabledLocators,unstablePackages:this.conditionalLocators},A=o||this.configuration.makeFetcher(),p={checksums:this.storedChecksums,project:this,cache:e,fetcher:A,report:r,cacheOptions:u},h=Array.from(new Set(ks(this.storedResolutions.values(),[C=>{let T=this.storedPackages.get(C);if(!T)throw new Error("Assertion failed: The locator should have been registered");return xa(T)}])));a==="update-lockfile"&&(h=h.filter(C=>!this.storedChecksums.has(C)));let E=!1,I=Xs.progressViaCounter(h.length);await r.reportProgress(I);let v=(0,rk.default)(FAt);if(await Uc(h.map(C=>v(async()=>{let T=this.storedPackages.get(C);if(!T)throw new Error("Assertion failed: The locator should have been registered");if(Hc(T))return;let L;try{L=await A.fetch(T,p)}catch(U){U.message=`${jr(this.configuration,T)}: ${U.message}`,r.reportExceptionOnce(U),E=U;return}L.checksum!=null?this.storedChecksums.set(T.locatorHash,L.checksum):this.storedChecksums.delete(T.locatorHash),L.releaseFs&&L.releaseFs()}).finally(()=>{I.tick()}))),E)throw E;let b=n&&a!=="update-lockfile"?await this.cacheCleanup({cache:e,report:r}):null;if(r.cacheMisses.size>0||b){let T=(await Promise.all([...r.cacheMisses].map(async Ae=>{let ye=this.storedPackages.get(Ae),ae=this.storedChecksums.get(Ae)??null,we=e.getLocatorPath(ye,ae);return(await oe.statPromise(we)).size}))).reduce((Ae,ye)=>Ae+ye,0)-(b?.size??0),L=r.cacheMisses.size,U=b?.count??0,J=`${nS(L,{zero:"No new packages",one:"A package was",more:`${Ot(this.configuration,L,yt.NUMBER)} packages were`})} added to the project`,te=`${nS(U,{zero:"none were",one:"one was",more:`${Ot(this.configuration,U,yt.NUMBER)} were`})} removed`,le=T!==0?` (${Ot(this.configuration,T,yt.SIZE_DIFF)})`:"",pe=U>0?L>0?`${J}, and ${te}${le}.`:`${J}, but ${te}${le}.`:`${J}${le}.`;r.reportInfo(13,pe)}}async linkEverything({cache:e,report:r,fetcher:o,mode:a}){let n={mockedPackages:this.disabledLocators,unstablePackages:this.conditionalLocators,skipIntegrityCheck:!0},u=o||this.configuration.makeFetcher(),A={checksums:this.storedChecksums,project:this,cache:e,fetcher:u,report:r,cacheOptions:n},p=this.configuration.getLinkers(),h={project:this,report:r},E=new Map(p.map(ce=>{let ne=ce.makeInstaller(h),ee=ce.getCustomDataKey(),Ie=this.linkersCustomData.get(ee);return typeof Ie<"u"&&ne.attachCustomData(Ie),[ce,ne]})),I=new Map,v=new Map,b=new Map,C=new Map(await Uc([...this.accessibleLocators].map(async ce=>{let ne=this.storedPackages.get(ce);if(!ne)throw new Error("Assertion failed: The locator should have been registered");return[ce,await u.fetch(ne,A)]}))),T=[],L=new Set,U=[];for(let ce of this.accessibleLocators){let ne=this.storedPackages.get(ce);if(typeof ne>"u")throw new Error("Assertion failed: The locator should have been registered");let ee=C.get(ne.locatorHash);if(typeof ee>"u")throw new Error("Assertion failed: The fetch result should have been registered");let Ie=[],ke=H=>{Ie.push(H)},ht=this.tryWorkspaceByLocator(ne);if(ht!==null){let H=[],{scripts:lt}=ht.manifest;for(let Qe of["preinstall","install","postinstall"])lt.has(Qe)&&H.push({type:0,script:Qe});try{for(let[Qe,be]of E)if(Qe.supportsPackage(ne,h)&&(await be.installPackage(ne,ee,{holdFetchResult:ke})).buildRequest!==null)throw new Error("Assertion failed: Linkers can't return build directives for workspaces; this responsibility befalls to the Yarn core")}finally{Ie.length===0?ee.releaseFs?.():T.push(Uc(Ie).catch(()=>{}).then(()=>{ee.releaseFs?.()}))}let Re=K.join(ee.packageFs.getRealPath(),ee.prefixPath);v.set(ne.locatorHash,Re),!Hc(ne)&&H.length>0&&b.set(ne.locatorHash,{buildDirectives:H,buildLocations:[Re]})}else{let H=p.find(Qe=>Qe.supportsPackage(ne,h));if(!H)throw new zt(12,`${jr(this.configuration,ne)} isn't supported by any available linker`);let lt=E.get(H);if(!lt)throw new Error("Assertion failed: The installer should have been registered");let Re;try{Re=await lt.installPackage(ne,ee,{holdFetchResult:ke})}finally{Ie.length===0?ee.releaseFs?.():T.push(Uc(Ie).then(()=>{}).then(()=>{ee.releaseFs?.()}))}I.set(ne.locatorHash,H),v.set(ne.locatorHash,Re.packageLocation),Re.buildRequest&&Re.packageLocation&&(Re.buildRequest.skipped?(L.add(ne.locatorHash),this.skippedBuilds.has(ne.locatorHash)||U.push([ne,Re.buildRequest.explain])):b.set(ne.locatorHash,{buildDirectives:Re.buildRequest.directives,buildLocations:[Re.packageLocation]}))}}let J=new Map;for(let ce of this.accessibleLocators){let ne=this.storedPackages.get(ce);if(!ne)throw new Error("Assertion failed: The locator should have been registered");let ee=this.tryWorkspaceByLocator(ne)!==null,Ie=async(ke,ht)=>{let H=v.get(ne.locatorHash);if(typeof H>"u")throw new Error(`Assertion failed: The package (${jr(this.configuration,ne)}) should have been registered`);let lt=[];for(let Re of ne.dependencies.values()){let Qe=this.storedResolutions.get(Re.descriptorHash);if(typeof Qe>"u")throw new Error(`Assertion failed: The resolution (${qn(this.configuration,Re)}, from ${jr(this.configuration,ne)})should have been registered`);let be=this.storedPackages.get(Qe);if(typeof be>"u")throw new Error(`Assertion failed: The package (${Qe}, resolved from ${qn(this.configuration,Re)}) should have been registered`);let _e=this.tryWorkspaceByLocator(be)===null?I.get(Qe):null;if(typeof _e>"u")throw new Error(`Assertion failed: The package (${Qe}, resolved from ${qn(this.configuration,Re)}) should have been registered`);_e===ke||_e===null?v.get(be.locatorHash)!==null&&lt.push([Re,be]):!ee&&H!==null&&Gy(J,Qe).push(H)}H!==null&&await ht.attachInternalDependencies(ne,lt)};if(ee)for(let[ke,ht]of E)ke.supportsPackage(ne,h)&&await Ie(ke,ht);else{let ke=I.get(ne.locatorHash);if(!ke)throw new Error("Assertion failed: The linker should have been found");let ht=E.get(ke);if(!ht)throw new Error("Assertion failed: The installer should have been registered");await Ie(ke,ht)}}for(let[ce,ne]of J){let ee=this.storedPackages.get(ce);if(!ee)throw new Error("Assertion failed: The package should have been registered");let Ie=I.get(ee.locatorHash);if(!Ie)throw new Error("Assertion failed: The linker should have been found");let ke=E.get(Ie);if(!ke)throw new Error("Assertion failed: The installer should have been registered");await ke.attachExternalDependents(ee,ne)}let te=new Map;for(let[ce,ne]of E){let ee=await ne.finalizeInstall();for(let Ie of ee?.records??[])Ie.buildRequest.skipped?(L.add(Ie.locator.locatorHash),this.skippedBuilds.has(Ie.locator.locatorHash)||U.push([Ie.locator,Ie.buildRequest.explain])):b.set(Ie.locator.locatorHash,{buildDirectives:Ie.buildRequest.directives,buildLocations:Ie.buildLocations});typeof ee?.customData<"u"&&te.set(ce.getCustomDataKey(),ee.customData)}if(this.linkersCustomData=te,await Uc(T),a==="skip-build")return;for(let[,ce]of ks(U,([ne])=>xa(ne)))ce(r);let le=new Set(this.storedPackages.keys()),pe=new Set(b.keys());for(let ce of pe)le.delete(ce);let Ae=(0,ek.createHash)("sha512");Ae.update(process.versions.node),await this.configuration.triggerHook(ce=>ce.globalHashGeneration,this,ce=>{Ae.update("\0"),Ae.update(ce)});let ye=Ae.digest("hex"),ae=new Map,we=ce=>{let ne=ae.get(ce.locatorHash);if(typeof ne<"u")return ne;let ee=this.storedPackages.get(ce.locatorHash);if(typeof ee>"u")throw new Error("Assertion failed: The package should have been registered");let Ie=(0,ek.createHash)("sha512");Ie.update(ce.locatorHash),ae.set(ce.locatorHash,"<recursive>");for(let ke of ee.dependencies.values()){let ht=this.storedResolutions.get(ke.descriptorHash);if(typeof ht>"u")throw new Error(`Assertion failed: The resolution (${qn(this.configuration,ke)}) should have been registered`);let H=this.storedPackages.get(ht);if(typeof H>"u")throw new Error("Assertion failed: The package should have been registered");Ie.update(we(H))}return ne=Ie.digest("hex"),ae.set(ce.locatorHash,ne),ne},Pe=(ce,ne)=>{let ee=(0,ek.createHash)("sha512");ee.update(ye),ee.update(we(ce));for(let Ie of ne)ee.update(Ie);return ee.digest("hex")},g=new Map,Ee=!1,De=ce=>{let ne=new Set([ce.locatorHash]);for(let ee of ne){let Ie=this.storedPackages.get(ee);if(!Ie)throw new Error("Assertion failed: The package should have been registered");for(let ke of Ie.dependencies.values()){let ht=this.storedResolutions.get(ke.descriptorHash);if(!ht)throw new Error(`Assertion failed: The resolution (${qn(this.configuration,ke)}) should have been registered`);if(ht!==ce.locatorHash&&pe.has(ht))return!1;let H=this.storedPackages.get(ht);if(!H)throw new Error("Assertion failed: The package should have been registered");let lt=this.tryWorkspaceByLocator(H);if(lt){if(lt.anchoredLocator.locatorHash!==ce.locatorHash&&pe.has(lt.anchoredLocator.locatorHash))return!1;ne.add(lt.anchoredLocator.locatorHash)}ne.add(ht)}}return!0};for(;pe.size>0;){let ce=pe.size,ne=[];for(let ee of pe){let Ie=this.storedPackages.get(ee);if(!Ie)throw new Error("Assertion failed: The package should have been registered");if(!De(Ie))continue;let ke=b.get(Ie.locatorHash);if(!ke)throw new Error("Assertion failed: The build directive should have been registered");let ht=Pe(Ie,ke.buildLocations);if(this.storedBuildState.get(Ie.locatorHash)===ht){g.set(Ie.locatorHash,ht),pe.delete(ee);continue}Ee||(await this.persistInstallStateFile(),Ee=!0),this.storedBuildState.has(Ie.locatorHash)?r.reportInfo(8,`${jr(this.configuration,Ie)} must be rebuilt because its dependency tree changed`):r.reportInfo(7,`${jr(this.configuration,Ie)} must be built because it never has been before or the last one failed`);let H=ke.buildLocations.map(async lt=>{if(!K.isAbsolute(lt))throw new Error(`Assertion failed: Expected the build location to be absolute (not ${lt})`);for(let Re of ke.buildDirectives){let Qe=`# This file contains the result of Yarn building a package (${xa(Ie)})
+`;switch(Re.type){case 0:Qe+=`# Script name: ${Re.script}
+`;break;case 1:Qe+=`# Script code: ${Re.script}
+`;break}let be=null;if(!await oe.mktempPromise(async Te=>{let Je=K.join(Te,"build.log"),{stdout:He,stderr:x}=this.configuration.getSubprocessStreams(Je,{header:Qe,prefix:jr(this.configuration,Ie),report:r}),w;try{switch(Re.type){case 0:w=await Vx(Ie,Re.script,[],{cwd:lt,project:this,stdin:be,stdout:He,stderr:x});break;case 1:w=await wU(Ie,Re.script,[],{cwd:lt,project:this,stdin:be,stdout:He,stderr:x});break}}catch(F){x.write(F.stack),w=1}if(He.end(),x.end(),w===0)return!0;oe.detachTemp(Te);let S=`${jr(this.configuration,Ie)} couldn't be built successfully (exit code ${Ot(this.configuration,w,yt.NUMBER)}, logs can be found here: ${Ot(this.configuration,Je,yt.PATH)})`,y=this.optionalBuilds.has(Ie.locatorHash);return y?r.reportInfo(9,S):r.reportError(9,S),Jce&&r.reportFold(ue.fromPortablePath(Je),oe.readFileSync(Je,"utf8")),y}))return!1}return!0});ne.push(...H,Promise.allSettled(H).then(lt=>{pe.delete(ee),lt.every(Re=>Re.status==="fulfilled"&&Re.value===!0)&&g.set(Ie.locatorHash,ht)}))}if(await Uc(ne),ce===pe.size){let ee=Array.from(pe).map(Ie=>{let ke=this.storedPackages.get(Ie);if(!ke)throw new Error("Assertion failed: The package should have been registered");return jr(this.configuration,ke)}).join(", ");r.reportError(3,`Some packages have circular dependencies that make their build order unsatisfiable - as a result they won't be built (affected packages are: ${ee})`);break}}this.storedBuildState=g,this.skippedBuilds=L}async installWithNewReport(e,r){return(await Nt.start({configuration:this.configuration,json:e.json,stdout:e.stdout,forceSectionAlignment:!0,includeLogs:!e.json&&!e.quiet,includeVersion:!0},async a=>{await this.install({...r,report:a})})).exitCode()}async install(e){let r=this.configuration.get("nodeLinker");Ve.telemetry?.reportInstall(r);let o=!1;if(await e.report.startTimerPromise("Project validation",{skipIfEmpty:!0},async()=>{this.configuration.get("enableOfflineMode")&&e.report.reportWarning(90,"Offline work is enabled; Yarn won't fetch packages from the remote registry if it can avoid it"),await this.configuration.triggerHook(E=>E.validateProject,this,{reportWarning:(E,I)=>{e.report.reportWarning(E,I)},reportError:(E,I)=>{e.report.reportError(E,I),o=!0}})}),o)return;let a=await this.configuration.getPackageExtensions();for(let E of a.values())for(let[,I]of E)for(let v of I)v.status="inactive";let n=K.join(this.cwd,dr.lockfile),u=null;if(e.immutable)try{u=await oe.readFilePromise(n,"utf8")}catch(E){throw E.code==="ENOENT"?new zt(28,"The lockfile would have been created by this install, which is explicitly forbidden."):E}await e.report.startTimerPromise("Resolution step",async()=>{await this.resolveEverything(e)}),await e.report.startTimerPromise("Post-resolution validation",{skipIfEmpty:!0},async()=>{LAt(this,e.report);for(let[,E]of a)for(let[,I]of E)for(let v of I)if(v.userProvided){let b=Ot(this.configuration,v,yt.PACKAGE_EXTENSION);switch(v.status){case"inactive":e.report.reportWarning(68,`${b}: No matching package in the dependency tree; you may not need this rule anymore.`);break;case"redundant":e.report.reportWarning(69,`${b}: This rule seems redundant when applied on the original package; the extension may have been applied upstream.`);break}}if(u!==null){let E=Ug(u,this.generateLockfile());if(E!==u){let I=ppe(n,n,u,E,void 0,void 0,{maxEditLength:100});if(I){e.report.reportSeparator();for(let v of I.hunks){e.report.reportInfo(null,`@@ -${v.oldStart},${v.oldLines} +${v.newStart},${v.newLines} @@`);for(let b of v.lines)b.startsWith("+")?e.report.reportError(28,Ot(this.configuration,b,yt.ADDED)):b.startsWith("-")?e.report.reportError(28,Ot(this.configuration,b,yt.REMOVED)):e.report.reportInfo(null,Ot(this.configuration,b,"grey"))}e.report.reportSeparator()}throw new zt(28,"The lockfile would have been modified by this install, which is explicitly forbidden.")}}});for(let E of a.values())for(let[,I]of E)for(let v of I)v.userProvided&&v.status==="active"&&Ve.telemetry?.reportPackageExtension(yd(v,yt.PACKAGE_EXTENSION));await e.report.startTimerPromise("Fetch step",async()=>{await this.fetchEverything(e)});let A=e.immutable?[...new Set(this.configuration.get("immutablePatterns"))].sort():[],p=await Promise.all(A.map(async E=>MS(E,{cwd:this.cwd})));(typeof e.persistProject>"u"||e.persistProject)&&await this.persist(),await e.report.startTimerPromise("Link step",async()=>{if(e.mode==="update-lockfile"){e.report.reportWarning(73,`Skipped due to ${Ot(this.configuration,"mode=update-lockfile",yt.CODE)}`);return}await this.linkEverything(e);let E=await Promise.all(A.map(async I=>MS(I,{cwd:this.cwd})));for(let I=0;I<A.length;++I)p[I]!==E[I]&&e.report.reportError(64,`The checksum for ${A[I]} has been modified by this install, which is explicitly forbidden.`)}),await this.persistInstallStateFile();let h=!1;await e.report.startTimerPromise("Post-install validation",{skipIfEmpty:!0},async()=>{await this.configuration.triggerHook(E=>E.validateProjectAfterInstall,this,{reportWarning:(E,I)=>{e.report.reportWarning(E,I)},reportError:(E,I)=>{e.report.reportError(E,I),h=!0}})}),!h&&await this.configuration.triggerHook(E=>E.afterAllInstalled,this,e)}generateLockfile(){let e=new Map;for(let[n,u]of this.storedResolutions.entries()){let A=e.get(u);A||e.set(u,A=new Set),A.add(n)}let r={},{cacheKey:o}=Lr.getCacheKey(this.configuration);r.__metadata={version:nk,cacheKey:o};for(let[n,u]of e.entries()){let A=this.originalPackages.get(n);if(!A)continue;let p=[];for(let b of u){let C=this.storedDescriptors.get(b);if(!C)throw new Error("Assertion failed: The descriptor should have been registered");p.push(C)}let h=p.map(b=>Sa(b)).sort().join(", "),E=new Mt;E.version=A.linkType==="HARD"?A.version:"0.0.0-use.local",E.languageName=A.languageName,E.dependencies=new Map(A.dependencies),E.peerDependencies=new Map(A.peerDependencies),E.dependenciesMeta=new Map(A.dependenciesMeta),E.peerDependenciesMeta=new Map(A.peerDependenciesMeta),E.bin=new Map(A.bin);let I,v=this.storedChecksums.get(A.locatorHash);if(typeof v<"u"){let b=v.indexOf("/");if(b===-1)throw new Error("Assertion failed: Expected the checksum to reference its cache key");let C=v.slice(0,b),T=v.slice(b+1);C===o?I=T:I=v}r[h]={...E.exportTo({},{compatibilityMode:!1}),linkType:A.linkType.toLowerCase(),resolution:xa(A),checksum:I,conditions:A.conditions||void 0}}return`${[`# This file is generated by running "yarn install" inside your project.
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+`+Ba(r)}async persistLockfile(){let e=K.join(this.cwd,dr.lockfile),r="";try{r=await oe.readFilePromise(e,"utf8")}catch{}let o=this.generateLockfile(),a=Ug(r,o);a!==r&&(await oe.writeFilePromise(e,a),this.lockFileChecksum=zpe(a),this.lockfileNeedsRefresh=!1)}async persistInstallStateFile(){let e=[];for(let u of Object.values(k_))e.push(...u);let r=(0,tk.default)(this,e),o=Q_.default.serialize(r),a=zs(o);if(this.installStateChecksum===a)return;let n=this.configuration.get("installStatePath");await oe.mkdirPromise(K.dirname(n),{recursive:!0}),await oe.writeFilePromise(n,await TAt(o)),this.installStateChecksum=a}async restoreInstallState({restoreLinkersCustomData:e=!0,restoreResolutions:r=!0,restoreBuildState:o=!0}={}){let a=this.configuration.get("installStatePath"),n;try{let u=await RAt(await oe.readFilePromise(a));n=Q_.default.deserialize(u),this.installStateChecksum=zs(u)}catch{r&&await this.applyLightResolution();return}e&&typeof n.linkersCustomData<"u"&&(this.linkersCustomData=n.linkersCustomData),o&&Object.assign(this,(0,tk.default)(n,k_.restoreBuildState)),r&&(n.lockFileChecksum===this.lockFileChecksum?Object.assign(this,(0,tk.default)(n,k_.restoreResolutions)):await this.applyLightResolution())}async applyLightResolution(){await this.resolveEverything({lockfileOnly:!0,report:new Qi}),await this.persistInstallStateFile()}async persist(){let e=(0,rk.default)(4);await Promise.all([this.persistLockfile(),...this.workspaces.map(r=>e(()=>r.persistManifest()))])}async cacheCleanup({cache:e,report:r}){if(this.configuration.get("enableGlobalCache"))return null;let o=new Set([".gitignore"]);if(!IO(e.cwd,this.cwd)||!await oe.existsPromise(e.cwd))return null;let a=[];for(let u of await oe.readdirPromise(e.cwd)){if(o.has(u))continue;let A=K.resolve(e.cwd,u);e.markedFiles.has(A)||(e.immutable?r.reportError(56,`${Ot(this.configuration,K.basename(A),"magenta")} appears to be unused and would be marked for deletion, but the cache is immutable`):a.push(oe.lstatPromise(A).then(async p=>(await oe.removePromise(A),p.size))))}if(a.length===0)return null;let n=await Promise.all(a);return{count:a.length,size:n.reduce((u,A)=>u+A,0)}}}});function MAt(t){let o=Math.floor(t.timeNow/864e5),a=t.updateInterval*864e5,n=t.state.lastUpdate??t.timeNow+a+Math.floor(a*t.randomInitialInterval),u=n+a,A=t.state.lastTips??o*864e5,p=A+864e5+8*36e5-t.timeZone,h=u<=t.timeNow,E=p<=t.timeNow,I=null;return(h||E||!t.state.lastUpdate||!t.state.lastTips)&&(I={},I.lastUpdate=h?t.timeNow:n,I.lastTips=A,I.blocks=h?{}:t.state.blocks,I.displayedTips=t.state.displayedTips),{nextState:I,triggerUpdate:h,triggerTips:E,nextTips:E?o*864e5:A}}var cC,$pe=Et(()=>{Pt();N1();rh();Bx();jl();kf();cC=class{constructor(e,r){this.values=new Map;this.hits=new Map;this.enumerators=new Map;this.nextTips=0;this.displayedTips=[];this.shouldCommitTips=!1;this.configuration=e;let o=this.getRegistryPath();this.isNew=!oe.existsSync(o),this.shouldShowTips=!1,this.sendReport(r),this.startBuffer()}commitTips(){this.shouldShowTips&&(this.shouldCommitTips=!0)}selectTip(e){let r=new Set(this.displayedTips),o=A=>A&&tn?bf(tn,A):!1,a=e.map((A,p)=>p).filter(A=>e[A]&&o(e[A]?.selector));if(a.length===0)return null;let n=a.filter(A=>!r.has(A));if(n.length===0){let A=Math.floor(a.length*.2);this.displayedTips=A>0?this.displayedTips.slice(-A):[],n=a.filter(p=>!r.has(p))}let u=n[Math.floor(Math.random()*n.length)];return 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".repeat(e.level-1):"":e.indent}dispatch(e,r){if(this.multiple&&this[r.name])return this[r.name]();this.alert()}focus(e,r){return typeof r!="boolean"&&(r=e.enabled),r&&!e.enabled&&this.selected.length>=this.maxSelected?this.alert():(this.index=e.index,e.enabled=r&&!this.isDisabled(e),e)}space(){return this.multiple?(this.toggle(this.focused),this.render()):this.alert()}a(){if(this.maxSelected<this.choices.length)return this.alert();let e=this.selectable.every(r=>r.enabled);return this.choices.forEach(r=>r.enabled=!e),this.render()}i(){return this.choices.length-this.selected.length>this.maxSelected?this.alert():(this.choices.forEach(e=>e.enabled=!e.enabled),this.render())}g(e=this.focused){return this.choices.some(r=>!!r.parent)?(this.toggle(e.parent&&!e.choices?e.parent:e),this.render()):this.a()}toggle(e,r){if(!e.enabled&&this.selected.length>=this.maxSelected)return this.alert();typeof r!="boolean"&&(r=!e.enabled),e.enabled=r,e.choices&&e.choices.forEach(a=>this.toggle(a,r));let o=e.parent;for(;o;){let a=o.choices.filter(n=>this.isDisabled(n));o.enabled=a.every(n=>n.enabled===!0),o=o.parent}return Rhe(this,this.choices),this.emit("toggle",e,this),e}enable(e){return this.selected.length>=this.maxSelected?this.alert():(e.enabled=!this.isDisabled(e),e.choices&&e.choices.forEach(this.enable.bind(this)),e)}disable(e){return e.enabled=!1,e.choices&&e.choices.forEach(this.disable.bind(this)),e}number(e){this.num+=e;let r=o=>{let a=Number(o);if(a>this.choices.length-1)return this.alert();let n=this.focused,u=this.choices.find(A=>a===A.index);if(!u.enabled&&this.selected.length>=this.maxSelected)return this.alert();if(this.visible.indexOf(u)===-1){let A=W_(this.choices),p=A.indexOf(u);if(n.index>p){let h=A.slice(p,p+this.limit),E=A.filter(I=>!h.includes(I));this.choices=h.concat(E)}else{let h=p-this.limit+1;this.choices=A.slice(h).concat(A.slice(0,h))}}return this.index=this.choices.indexOf(u),this.toggle(this.focused),this.render()};return clearTimeout(this.numberTimeout),new Promise(o=>{let a=this.choices.length,n=this.num,u=(A=!1,p)=>{clearTimeout(this.numberTimeout),A&&(p=r(n)),this.num="",o(p)};if(n==="0"||n.length===1&&Number(n+"0")>a)return u(!0);if(Number(n)>a)return u(!1,this.alert());this.numberTimeout=setTimeout(()=>u(!0),this.delay)})}home(){return this.choices=W_(this.choices),this.index=0,this.render()}end(){let e=this.choices.length-this.limit,r=W_(this.choices);return this.choices=r.slice(e).concat(r.slice(0,e)),this.index=this.limit-1,this.render()}first(){return this.index=0,this.render()}last(){return this.index=this.visible.length-1,this.render()}prev(){return this.visible.length<=1?this.alert():this.up()}next(){return this.visible.length<=1?this.alert():this.down()}right(){return this.cursor>=this.input.length?this.alert():(this.cursor++,this.render())}left(){return this.cursor<=0?this.alert():(this.cursor--,this.render())}up(){let e=this.choices.length,r=this.visible.length,o=this.index;return this.options.scroll===!1&&o===0?this.alert():e>r&&o===0?this.scrollUp():(this.index=(o-1%e+e)%e,this.isDisabled()?this.up():this.render())}down(){let e=this.choices.length,r=this.visible.length,o=this.index;return this.options.scroll===!1&&o===r-1?this.alert():e>r&&o===r-1?this.scrollDown():(this.index=(o+1)%e,this.isDisabled()?this.down():this.render())}scrollUp(e=0){return this.choices=hft(this.choices),this.index=e,this.isDisabled()?this.up():this.render()}scrollDown(e=this.visible.length-1){return this.choices=gft(this.choices),this.index=e,this.isDisabled()?this.down():this.render()}async shiftUp(){if(this.options.sort===!0){this.sorting=!0,this.swap(this.index-1),await this.up(),this.sorting=!1;return}return this.scrollUp(this.index)}async shiftDown(){if(this.options.sort===!0){this.sorting=!0,this.swap(this.index+1),await this.down(),this.sorting=!1;return}return this.scrollDown(this.index)}pageUp(){return this.visible.length<=1?this.alert():(this.limit=Math.max(this.limit-1,0),this.index=Math.min(this.limit-1,this.index),this._limit=this.limit,this.isDisabled()?this.up():this.render())}pageDown(){return this.visible.length>=this.choices.length?this.alert():(this.index=Math.max(0,this.index),this.limit=Math.min(this.limit+1,this.choices.length),this._limit=this.limit,this.isDisabled()?this.down():this.render())}swap(e){dft(this.choices,this.index,e)}isDisabled(e=this.focused){return e&&["disabled","collapsed","hidden","completing","readonly"].some(o=>e[o]===!0)?!0:e&&e.role==="heading"}isEnabled(e=this.focused){if(Array.isArray(e))return e.every(r=>this.isEnabled(r));if(e.choices){let r=e.choices.filter(o=>!this.isDisabled(o));return e.enabled&&r.every(o=>this.isEnabled(o))}return e.enabled&&!this.isDisabled(e)}isChoice(e,r){return e.name===r||e.index===Number(r)}isSelected(e){return Array.isArray(this.initial)?this.initial.some(r=>this.isChoice(e,r)):this.isChoice(e,this.initial)}map(e=[],r="value"){return[].concat(e||[]).reduce((o,a)=>(o[a]=this.find(a,r),o),{})}filter(e,r){let a=typeof e=="function"?e:(A,p)=>[A.name,p].includes(e),u=(this.options.multiple?this.state._choices:this.choices).filter(a);return r?u.map(A=>A[r]):u}find(e,r){if(The(e))return r?e[r]:e;let a=typeof e=="function"?e:(u,A)=>[u.name,A].includes(e),n=this.choices.find(a);if(n)return r?n[r]:n}findIndex(e){return this.choices.indexOf(this.find(e))}async submit(){let e=this.focused;if(!e)return this.alert();if(e.newChoice)return e.input?(e.updateChoice(),this.render()):this.alert();if(this.choices.some(u=>u.newChoice))return this.alert();let{reorder:r,sort:o}=this.options,a=this.multiple===!0,n=this.selected;return n===void 0?this.alert():(Array.isArray(n)&&r!==!1&&o!==!0&&(n=lk.reorder(n)),this.value=a?n.map(u=>u.name):n.name,super.submit())}set choices(e=[]){this.state._choices=this.state._choices||[],this.state.choices=e;for(let r of e)this.state._choices.some(o=>o.name===r.name)||this.state._choices.push(r);if(!this._initial&&this.options.initial){this._initial=!0;let r=this.initial;if(typeof r=="string"||typeof r=="number"){let o=this.find(r);o&&(this.initial=o.index,this.focus(o,!0))}}}get choices(){return Rhe(this,this.state.choices||[])}set visible(e){this.state.visible=e}get visible(){return(this.state.visible||this.choices).slice(0,this.limit)}set limit(e){this.state.limit=e}get limit(){let{state:e,options:r,choices:o}=this,a=e.limit||this._limit||r.limit||o.length;return Math.min(a,this.height)}set value(e){super.value=e}get value(){return typeof super.value!="string"&&super.value===this.initial?this.input:super.value}set index(e){this.state.index=e}get index(){return Math.max(0,this.state?this.state.index:0)}get enabled(){return this.filter(this.isEnabled.bind(this))}get focused(){let e=this.choices[this.index];return e&&this.state.submitted&&this.multiple!==!0&&(e.enabled=!0),e}get selectable(){return this.choices.filter(e=>!this.isDisabled(e))}get selected(){return this.multiple?this.enabled:this.focused}};function Rhe(t,e){if(e instanceof Promise)return e;if(typeof e=="function"){if(lk.isAsyncFn(e))return e;e=e.call(t,t)}for(let r of e){if(Array.isArray(r.choices)){let o=r.choices.filter(a=>!t.isDisabled(a));r.enabled=o.every(a=>a.enabled===!0)}t.isDisabled(r)===!0&&delete r.enabled}return e}Nhe.exports=V_});var Sh=_((a8t,Lhe)=>{"use strict";var mft=c2(),K_=No(),J_=class extends mft{constructor(e){super(e),this.emptyError=this.options.emptyError||"No items were selected"}async dispatch(e,r){if(this.multiple)return this[r.name]?await this[r.name](e,r):await super.dispatch(e,r);this.alert()}separator(){if(this.options.separator)return super.separator();let e=this.styles.muted(this.symbols.ellipsis);return this.state.submitted?super.separator():e}pointer(e,r){return!this.multiple||this.options.pointer?super.pointer(e,r):""}indicator(e,r){return this.multiple?super.indicator(e,r):""}choiceMessage(e,r){let o=this.resolve(e.message,this.state,e,r);return e.role==="heading"&&!K_.hasColor(o)&&(o=this.styles.strong(o)),this.resolve(o,this.state,e,r)}choiceSeparator(){return":"}async renderChoice(e,r){await this.onChoice(e,r);let o=this.index===r,a=await this.pointer(e,r),n=await this.indicator(e,r)+(e.pad||""),u=await this.resolve(e.hint,this.state,e,r);u&&!K_.hasColor(u)&&(u=this.styles.muted(u));let A=this.indent(e),p=await this.choiceMessage(e,r),h=()=>[this.margin[3],A+a+n,p,this.margin[1],u].filter(Boolean).join(" ");return e.role==="heading"?h():e.disabled?(K_.hasColor(p)||(p=this.styles.disabled(p)),h()):(o&&(p=this.styles.em(p)),h())}async renderChoices(){if(this.state.loading==="choices")return this.styles.warning("Loading choices");if(this.state.submitted)return"";let e=this.visible.map(async(n,u)=>await this.renderChoice(n,u)),r=await Promise.all(e);r.length||r.push(this.styles.danger("No matching choices"));let o=this.margin[0]+r.join(`
+`),a;return this.options.choicesHeader&&(a=await this.resolve(this.options.choicesHeader,this.state)),[a,o].filter(Boolean).join(`
+`)}format(){return!this.state.submitted||this.state.cancelled?"":Array.isArray(this.selected)?this.selected.map(e=>this.styles.primary(e.name)).join(", "):this.styles.primary(this.selected.name)}async render(){let{submitted:e,size:r}=this.state,o="",a=await this.header(),n=await this.prefix(),u=await this.separator(),A=await this.message();this.options.promptLine!==!1&&(o=[n,A,u,""].join(" "),this.state.prompt=o);let p=await this.format(),h=await this.error()||await this.hint(),E=await this.renderChoices(),I=await this.footer();p&&(o+=p),h&&!o.includes(h)&&(o+=" "+h),e&&!p&&!E.trim()&&this.multiple&&this.emptyError!=null&&(o+=this.styles.danger(this.emptyError)),this.clear(r),this.write([a,o,E,I].filter(Boolean).join(`
+`)),this.write(this.margin[2]),this.restore()}};Lhe.exports=J_});var Ohe=_((l8t,Mhe)=>{"use strict";var yft=Sh(),Eft=(t,e)=>{let r=t.toLowerCase();return o=>{let n=o.toLowerCase().indexOf(r),u=e(o.slice(n,n+r.length));return n>=0?o.slice(0,n)+u+o.slice(n+r.length):o}},z_=class extends yft{constructor(e){super(e),this.cursorShow()}moveCursor(e){this.state.cursor+=e}dispatch(e){return this.append(e)}space(e){return this.options.multiple?super.space(e):this.append(e)}append(e){let{cursor:r,input:o}=this.state;return this.input=o.slice(0,r)+e+o.slice(r),this.moveCursor(1),this.complete()}delete(){let{cursor:e,input:r}=this.state;return r?(this.input=r.slice(0,e-1)+r.slice(e),this.moveCursor(-1),this.complete()):this.alert()}deleteForward(){let{cursor:e,input:r}=this.state;return r[e]===void 0?this.alert():(this.input=`${r}`.slice(0,e)+`${r}`.slice(e+1),this.complete())}number(e){return this.append(e)}async complete(){this.completing=!0,this.choices=await this.suggest(this.input,this.state._choices),this.state.limit=void 0,this.index=Math.min(Math.max(this.visible.length-1,0),this.index),await this.render(),this.completing=!1}suggest(e=this.input,r=this.state._choices){if(typeof this.options.suggest=="function")return this.options.suggest.call(this,e,r);let o=e.toLowerCase();return r.filter(a=>a.message.toLowerCase().includes(o))}pointer(){return""}format(){if(!this.focused)return this.input;if(this.options.multiple&&this.state.submitted)return this.selected.map(e=>this.styles.primary(e.message)).join(", ");if(this.state.submitted){let e=this.value=this.input=this.focused.value;return this.styles.primary(e)}return this.input}async render(){if(this.state.status!=="pending")return super.render();let e=this.options.highlight?this.options.highlight.bind(this):this.styles.placeholder,r=Eft(this.input,e),o=this.choices;this.choices=o.map(a=>({...a,message:r(a.message)})),await super.render(),this.choices=o}submit(){return this.options.multiple&&(this.value=this.selected.map(e=>e.name)),super.submit()}};Mhe.exports=z_});var Z_=_((c8t,Uhe)=>{"use strict";var X_=No();Uhe.exports=(t,e={})=>{t.cursorHide();let{input:r="",initial:o="",pos:a,showCursor:n=!0,color:u}=e,A=u||t.styles.placeholder,p=X_.inverse(t.styles.primary),h=T=>p(t.styles.black(T)),E=r,I=" ",v=h(I);if(t.blink&&t.blink.off===!0&&(h=T=>T,v=""),n&&a===0&&o===""&&r==="")return h(I);if(n&&a===0&&(r===o||r===""))return h(o[0])+A(o.slice(1));o=X_.isPrimitive(o)?`${o}`:"",r=X_.isPrimitive(r)?`${r}`:"";let b=o&&o.startsWith(r)&&o!==r,C=b?h(o[r.length]):v;if(a!==r.length&&n===!0&&(E=r.slice(0,a)+h(r[a])+r.slice(a+1),C=""),n===!1&&(C=""),b){let T=t.styles.unstyle(E+C);return E+C+A(o.slice(T.length))}return E+C}});var ck=_((u8t,_he)=>{"use strict";var Cft=Vc(),wft=Sh(),Ift=Z_(),$_=class extends wft{constructor(e){super({...e,multiple:!0}),this.type="form",this.initial=this.options.initial,this.align=[this.options.align,"right"].find(r=>r!=null),this.emptyError="",this.values={}}async reset(e){return await super.reset(),e===!0&&(this._index=this.index),this.index=this._index,this.values={},this.choices.forEach(r=>r.reset&&r.reset()),this.render()}dispatch(e){return!!e&&this.append(e)}append(e){let r=this.focused;if(!r)return this.alert();let{cursor:o,input:a}=r;return r.value=r.input=a.slice(0,o)+e+a.slice(o),r.cursor++,this.render()}delete(){let e=this.focused;if(!e||e.cursor<=0)return this.alert();let{cursor:r,input:o}=e;return e.value=e.input=o.slice(0,r-1)+o.slice(r),e.cursor--,this.render()}deleteForward(){let e=this.focused;if(!e)return this.alert();let{cursor:r,input:o}=e;if(o[r]===void 0)return this.alert();let a=`${o}`.slice(0,r)+`${o}`.slice(r+1);return e.value=e.input=a,this.render()}right(){let e=this.focused;return e?e.cursor>=e.input.length?this.alert():(e.cursor++,this.render()):this.alert()}left(){let e=this.focused;return e?e.cursor<=0?this.alert():(e.cursor--,this.render()):this.alert()}space(e,r){return this.dispatch(e,r)}number(e,r){return this.dispatch(e,r)}next(){let e=this.focused;if(!e)return this.alert();let{initial:r,input:o}=e;return r&&r.startsWith(o)&&o!==r?(e.value=e.input=r,e.cursor=e.value.length,this.render()):super.next()}prev(){let e=this.focused;return e?e.cursor===0?super.prev():(e.value=e.input="",e.cursor=0,this.render()):this.alert()}separator(){return""}format(e){return this.state.submitted?"":super.format(e)}pointer(){return""}indicator(e){return e.input?"\u29BF":"\u2299"}async choiceSeparator(e,r){let o=await this.resolve(e.separator,this.state,e,r)||":";return o?" "+this.styles.disabled(o):""}async renderChoice(e,r){await this.onChoice(e,r);let{state:o,styles:a}=this,{cursor:n,initial:u="",name:A,hint:p,input:h=""}=e,{muted:E,submitted:I,primary:v,danger:b}=a,C=p,T=this.index===r,L=e.validate||(()=>!0),U=await this.choiceSeparator(e,r),J=e.message;this.align==="right"&&(J=J.padStart(this.longest+1," ")),this.align==="left"&&(J=J.padEnd(this.longest+1," "));let te=this.values[A]=h||u,le=h?"success":"dark";await L.call(e,te,this.state)!==!0&&(le="danger");let pe=a[le],Ae=pe(await this.indicator(e,r))+(e.pad||""),ye=this.indent(e),ae=()=>[ye,Ae,J+U,h,C].filter(Boolean).join(" ");if(o.submitted)return J=Cft.unstyle(J),h=I(h),C="",ae();if(e.format)h=await e.format.call(this,h,e,r);else{let we=this.styles.muted;h=Ift(this,{input:h,initial:u,pos:n,showCursor:T,color:we})}return this.isValue(h)||(h=this.styles.muted(this.symbols.ellipsis)),e.result&&(this.values[A]=await e.result.call(this,te,e,r)),T&&(J=v(J)),e.error?h+=(h?" ":"")+b(e.error.trim()):e.hint&&(h+=(h?" ":"")+E(e.hint.trim())),ae()}async submit(){return this.value=this.values,super.base.submit.call(this)}};_he.exports=$_});var e8=_((A8t,jhe)=>{"use strict";var Bft=ck(),vft=()=>{throw new Error("expected prompt to have a custom authenticate method")},Hhe=(t=vft)=>{class e extends Bft{constructor(o){super(o)}async submit(){this.value=await t.call(this,this.values,this.state),super.base.submit.call(this)}static create(o){return Hhe(o)}}return e};jhe.exports=Hhe()});var Yhe=_((f8t,Ghe)=>{"use strict";var Dft=e8();function Pft(t,e){return t.username===this.options.username&&t.password===this.options.password}var qhe=(t=Pft)=>{let e=[{name:"username",message:"username"},{name:"password",message:"password",format(o){return this.options.showPassword?o:(this.state.submitted?this.styles.primary:this.styles.muted)(this.symbols.asterisk.repeat(o.length))}}];class r extends Dft.create(t){constructor(a){super({...a,choices:e})}static create(a){return qhe(a)}}return r};Ghe.exports=qhe()});var uk=_((p8t,Whe)=>{"use strict";var Sft=hC(),{isPrimitive:xft,hasColor:bft}=No(),t8=class extends Sft{constructor(e){super(e),this.cursorHide()}async initialize(){let e=await this.resolve(this.initial,this.state);this.input=await this.cast(e),await super.initialize()}dispatch(e){return this.isValue(e)?(this.input=e,this.submit()):this.alert()}format(e){let{styles:r,state:o}=this;return o.submitted?r.success(e):r.primary(e)}cast(e){return this.isTrue(e)}isTrue(e){return/^[ty1]/i.test(e)}isFalse(e){return/^[fn0]/i.test(e)}isValue(e){return xft(e)&&(this.isTrue(e)||this.isFalse(e))}async hint(){if(this.state.status==="pending"){let e=await this.element("hint");return bft(e)?e:this.styles.muted(e)}}async render(){let{input:e,size:r}=this.state,o=await this.prefix(),a=await this.separator(),n=await this.message(),u=this.styles.muted(this.default),A=[o,n,u,a].filter(Boolean).join(" ");this.state.prompt=A;let p=await this.header(),h=this.value=this.cast(e),E=await this.format(h),I=await this.error()||await this.hint(),v=await this.footer();I&&!A.includes(I)&&(E+=" "+I),A+=" "+E,this.clear(r),this.write([p,A,v].filter(Boolean).join(`
+`)),this.restore()}set value(e){super.value=e}get value(){return this.cast(super.value)}};Whe.exports=t8});var Khe=_((h8t,Vhe)=>{"use strict";var kft=uk(),r8=class extends kft{constructor(e){super(e),this.default=this.options.default||(this.initial?"(Y/n)":"(y/N)")}};Vhe.exports=r8});var zhe=_((g8t,Jhe)=>{"use strict";var Qft=Sh(),Fft=ck(),gC=Fft.prototype,n8=class extends Qft{constructor(e){super({...e,multiple:!0}),this.align=[this.options.align,"left"].find(r=>r!=null),this.emptyError="",this.values={}}dispatch(e,r){let o=this.focused,a=o.parent||{};return!o.editable&&!a.editable&&(e==="a"||e==="i")?super[e]():gC.dispatch.call(this,e,r)}append(e,r){return gC.append.call(this,e,r)}delete(e,r){return gC.delete.call(this,e,r)}space(e){return this.focused.editable?this.append(e):super.space()}number(e){return this.focused.editable?this.append(e):super.number(e)}next(){return this.focused.editable?gC.next.call(this):super.next()}prev(){return this.focused.editable?gC.prev.call(this):super.prev()}async indicator(e,r){let o=e.indicator||"",a=e.editable?o:super.indicator(e,r);return await this.resolve(a,this.state,e,r)||""}indent(e){return e.role==="heading"?"":e.editable?" ":"  "}async renderChoice(e,r){return e.indent="",e.editable?gC.renderChoice.call(this,e,r):super.renderChoice(e,r)}error(){return""}footer(){return this.state.error}async validate(){let e=!0;for(let r of this.choices){if(typeof r.validate!="function"||r.role==="heading")continue;let o=r.parent?this.value[r.parent.name]:this.value;if(r.editable?o=r.value===r.name?r.initial||"":r.value:this.isDisabled(r)||(o=r.enabled===!0),e=await r.validate(o,this.state),e!==!0)break}return e!==!0&&(this.state.error=typeof e=="string"?e:"Invalid Input"),e}submit(){if(this.focused.newChoice===!0)return super.submit();if(this.choices.some(e=>e.newChoice))return this.alert();this.value={};for(let e of this.choices){let r=e.parent?this.value[e.parent.name]:this.value;if(e.role==="heading"){this.value[e.name]={};continue}e.editable?r[e.name]=e.value===e.name?e.initial||"":e.value:this.isDisabled(e)||(r[e.name]=e.enabled===!0)}return this.base.submit.call(this)}};Jhe.exports=n8});var Yd=_((d8t,Xhe)=>{"use strict";var Tft=hC(),Rft=Z_(),{isPrimitive:Nft}=No(),i8=class extends Tft{constructor(e){super(e),this.initial=Nft(this.initial)?String(this.initial):"",this.initial&&this.cursorHide(),this.state.prevCursor=0,this.state.clipboard=[]}async keypress(e,r={}){let o=this.state.prevKeypress;return this.state.prevKeypress=r,this.options.multiline===!0&&r.name==="return"&&(!o||o.name!=="return")?this.append(`
+`,r):super.keypress(e,r)}moveCursor(e){this.cursor+=e}reset(){return this.input=this.value="",this.cursor=0,this.render()}dispatch(e,r){if(!e||r.ctrl||r.code)return this.alert();this.append(e)}append(e){let{cursor:r,input:o}=this.state;this.input=`${o}`.slice(0,r)+e+`${o}`.slice(r),this.moveCursor(String(e).length),this.render()}insert(e){this.append(e)}delete(){let{cursor:e,input:r}=this.state;if(e<=0)return this.alert();this.input=`${r}`.slice(0,e-1)+`${r}`.slice(e),this.moveCursor(-1),this.render()}deleteForward(){let{cursor:e,input:r}=this.state;if(r[e]===void 0)return this.alert();this.input=`${r}`.slice(0,e)+`${r}`.slice(e+1),this.render()}cutForward(){let e=this.cursor;if(this.input.length<=e)return this.alert();this.state.clipboard.push(this.input.slice(e)),this.input=this.input.slice(0,e),this.render()}cutLeft(){let e=this.cursor;if(e===0)return this.alert();let r=this.input.slice(0,e),o=this.input.slice(e),a=r.split(" ");this.state.clipboard.push(a.pop()),this.input=a.join(" "),this.cursor=this.input.length,this.input+=o,this.render()}paste(){if(!this.state.clipboard.length)return this.alert();this.insert(this.state.clipboard.pop()),this.render()}toggleCursor(){this.state.prevCursor?(this.cursor=this.state.prevCursor,this.state.prevCursor=0):(this.state.prevCursor=this.cursor,this.cursor=0),this.render()}first(){this.cursor=0,this.render()}last(){this.cursor=this.input.length-1,this.render()}next(){let e=this.initial!=null?String(this.initial):"";if(!e||!e.startsWith(this.input))return this.alert();this.input=this.initial,this.cursor=this.initial.length,this.render()}prev(){if(!this.input)return this.alert();this.reset()}backward(){return this.left()}forward(){return this.right()}right(){return this.cursor>=this.input.length?this.alert():(this.moveCursor(1),this.render())}left(){return this.cursor<=0?this.alert():(this.moveCursor(-1),this.render())}isValue(e){return!!e}async format(e=this.value){let r=await this.resolve(this.initial,this.state);return this.state.submitted?this.styles.submitted(e||r):Rft(this,{input:e,initial:r,pos:this.cursor})}async render(){let e=this.state.size,r=await this.prefix(),o=await this.separator(),a=await this.message(),n=[r,a,o].filter(Boolean).join(" ");this.state.prompt=n;let u=await this.header(),A=await this.format(),p=await this.error()||await this.hint(),h=await this.footer();p&&!A.includes(p)&&(A+=" "+p),n+=" "+A,this.clear(e),this.write([u,n,h].filter(Boolean).join(`
+`)),this.restore()}};Xhe.exports=i8});var $he=_((m8t,Zhe)=>{"use strict";var Lft=t=>t.filter((e,r)=>t.lastIndexOf(e)===r),Ak=t=>Lft(t).filter(Boolean);Zhe.exports=(t,e={},r="")=>{let{past:o=[],present:a=""}=e,n,u;switch(t){case"prev":case"undo":return n=o.slice(0,o.length-1),u=o[o.length-1]||"",{past:Ak([r,...n]),present:u};case"next":case"redo":return n=o.slice(1),u=o[0]||"",{past:Ak([...n,r]),present:u};case"save":return{past:Ak([...o,r]),present:""};case"remove":return u=Ak(o.filter(A=>A!==r)),a="",u.length&&(a=u.pop()),{past:u,present:a};default:throw new Error(`Invalid action: "${t}"`)}}});var o8=_((y8t,t0e)=>{"use strict";var Mft=Yd(),e0e=$he(),s8=class extends Mft{constructor(e){super(e);let r=this.options.history;if(r&&r.store){let o=r.values||this.initial;this.autosave=!!r.autosave,this.store=r.store,this.data=this.store.get("values")||{past:[],present:o},this.initial=this.data.present||this.data.past[this.data.past.length-1]}}completion(e){return this.store?(this.data=e0e(e,this.data,this.input),this.data.present?(this.input=this.data.present,this.cursor=this.input.length,this.render()):this.alert()):this.alert()}altUp(){return this.completion("prev")}altDown(){return this.completion("next")}prev(){return this.save(),super.prev()}save(){!this.store||(this.data=e0e("save",this.data,this.input),this.store.set("values",this.data))}submit(){return this.store&&this.autosave===!0&&this.save(),super.submit()}};t0e.exports=s8});var n0e=_((E8t,r0e)=>{"use strict";var Oft=Yd(),a8=class extends Oft{format(){return""}};r0e.exports=a8});var s0e=_((C8t,i0e)=>{"use strict";var Uft=Yd(),l8=class extends Uft{constructor(e={}){super(e),this.sep=this.options.separator||/, */,this.initial=e.initial||""}split(e=this.value){return e?String(e).split(this.sep):[]}format(){let e=this.state.submitted?this.styles.primary:r=>r;return this.list.map(e).join(", ")}async submit(e){let r=this.state.error||await this.validate(this.list,this.state);return r!==!0?(this.state.error=r,super.submit()):(this.value=this.list,super.submit())}get list(){return this.split()}};i0e.exports=l8});var a0e=_((w8t,o0e)=>{"use strict";var _ft=Sh(),c8=class extends _ft{constructor(e){super({...e,multiple:!0})}};o0e.exports=c8});var A8=_((I8t,l0e)=>{"use strict";var Hft=Yd(),u8=class extends Hft{constructor(e={}){super({style:"number",...e}),this.min=this.isValue(e.min)?this.toNumber(e.min):-1/0,this.max=this.isValue(e.max)?this.toNumber(e.max):1/0,this.delay=e.delay!=null?e.delay:1e3,this.float=e.float!==!1,this.round=e.round===!0||e.float===!1,this.major=e.major||10,this.minor=e.minor||1,this.initial=e.initial!=null?e.initial:"",this.input=String(this.initial),this.cursor=this.input.length,this.cursorShow()}append(e){return!/[-+.]/.test(e)||e==="."&&this.input.includes(".")?this.alert("invalid number"):super.append(e)}number(e){return super.append(e)}next(){return this.input&&this.input!==this.initial?this.alert():this.isValue(this.initial)?(this.input=this.initial,this.cursor=String(this.initial).length,this.render()):this.alert()}up(e){let r=e||this.minor,o=this.toNumber(this.input);return o>this.max+r?this.alert():(this.input=`${o+r}`,this.render())}down(e){let r=e||this.minor,o=this.toNumber(this.input);return o<this.min-r?this.alert():(this.input=`${o-r}`,this.render())}shiftDown(){return this.down(this.major)}shiftUp(){return this.up(this.major)}format(e=this.input){return typeof this.options.format=="function"?this.options.format.call(this,e):this.styles.info(e)}toNumber(e=""){return this.float?+e:Math.round(+e)}isValue(e){return/^[-+]?[0-9]+((\.)|(\.[0-9]+))?$/.test(e)}submit(){let e=[this.input,this.initial].find(r=>this.isValue(r));return this.value=this.toNumber(e||0),super.submit()}};l0e.exports=u8});var u0e=_((B8t,c0e)=>{c0e.exports=A8()});var f0e=_((v8t,A0e)=>{"use strict";var jft=Yd(),f8=class extends jft{constructor(e){super(e),this.cursorShow()}format(e=this.input){return this.keypressed?(this.state.submitted?this.styles.primary:this.styles.muted)(this.symbols.asterisk.repeat(e.length)):""}};A0e.exports=f8});var g0e=_((D8t,h0e)=>{"use strict";var qft=Vc(),Gft=c2(),p0e=No(),p8=class extends Gft{constructor(e={}){super(e),this.widths=[].concat(e.messageWidth||50),this.align=[].concat(e.align||"left"),this.linebreak=e.linebreak||!1,this.edgeLength=e.edgeLength||3,this.newline=e.newline||`
+   `;let r=e.startNumber||1;typeof this.scale=="number"&&(this.scaleKey=!1,this.scale=Array(this.scale).fill(0).map((o,a)=>({name:a+r})))}async reset(){return this.tableized=!1,await super.reset(),this.render()}tableize(){if(this.tableized===!0)return;this.tableized=!0;let e=0;for(let r of this.choices){e=Math.max(e,r.message.length),r.scaleIndex=r.initial||2,r.scale=[];for(let o=0;o<this.scale.length;o++)r.scale.push({index:o})}this.widths[0]=Math.min(this.widths[0],e+3)}async dispatch(e,r){if(this.multiple)return this[r.name]?await this[r.name](e,r):await super.dispatch(e,r);this.alert()}heading(e,r,o){return this.styles.strong(e)}separator(){return this.styles.muted(this.symbols.ellipsis)}right(){let e=this.focused;return e.scaleIndex>=this.scale.length-1?this.alert():(e.scaleIndex++,this.render())}left(){let e=this.focused;return e.scaleIndex<=0?this.alert():(e.scaleIndex--,this.render())}indent(){return""}format(){return this.state.submitted?this.choices.map(r=>this.styles.info(r.index)).join(", "):""}pointer(){return""}renderScaleKey(){return this.scaleKey===!1||this.state.submitted?"":["",...this.scale.map(o=>`   ${o.name} - ${o.message}`)].map(o=>this.styles.muted(o)).join(`
+`)}renderScaleHeading(e){let r=this.scale.map(p=>p.name);typeof this.options.renderScaleHeading=="function"&&(r=this.options.renderScaleHeading.call(this,e));let o=this.scaleLength-r.join("").length,a=Math.round(o/(r.length-1)),u=r.map(p=>this.styles.strong(p)).join(" ".repeat(a)),A=" ".repeat(this.widths[0]);return this.margin[3]+A+this.margin[1]+u}scaleIndicator(e,r,o){if(typeof this.options.scaleIndicator=="function")return this.options.scaleIndicator.call(this,e,r,o);let a=e.scaleIndex===r.index;return r.disabled?this.styles.hint(this.symbols.radio.disabled):a?this.styles.success(this.symbols.radio.on):this.symbols.radio.off}renderScale(e,r){let o=e.scale.map(n=>this.scaleIndicator(e,n,r)),a=this.term==="Hyper"?"":" ";return o.join(a+this.symbols.line.repeat(this.edgeLength))}async renderChoice(e,r){await this.onChoice(e,r);let o=this.index===r,a=await this.pointer(e,r),n=await e.hint;n&&!p0e.hasColor(n)&&(n=this.styles.muted(n));let u=C=>this.margin[3]+C.replace(/\s+$/,"").padEnd(this.widths[0]," "),A=this.newline,p=this.indent(e),h=await this.resolve(e.message,this.state,e,r),E=await this.renderScale(e,r),I=this.margin[1]+this.margin[3];this.scaleLength=qft.unstyle(E).length,this.widths[0]=Math.min(this.widths[0],this.width-this.scaleLength-I.length);let b=p0e.wordWrap(h,{width:this.widths[0],newline:A}).split(`
+`).map(C=>u(C)+this.margin[1]);return o&&(E=this.styles.info(E),b=b.map(C=>this.styles.info(C))),b[0]+=E,this.linebreak&&b.push(""),[p+a,b.join(`
+`)].filter(Boolean)}async renderChoices(){if(this.state.submitted)return"";this.tableize();let e=this.visible.map(async(a,n)=>await this.renderChoice(a,n)),r=await Promise.all(e),o=await this.renderScaleHeading();return this.margin[0]+[o,...r.map(a=>a.join(" "))].join(`
+`)}async render(){let{submitted:e,size:r}=this.state,o=await this.prefix(),a=await this.separator(),n=await this.message(),u="";this.options.promptLine!==!1&&(u=[o,n,a,""].join(" "),this.state.prompt=u);let A=await this.header(),p=await this.format(),h=await this.renderScaleKey(),E=await this.error()||await this.hint(),I=await this.renderChoices(),v=await this.footer(),b=this.emptyError;p&&(u+=p),E&&!u.includes(E)&&(u+=" "+E),e&&!p&&!I.trim()&&this.multiple&&b!=null&&(u+=this.styles.danger(b)),this.clear(r),this.write([A,u,h,I,v].filter(Boolean).join(`
+`)),this.state.submitted||this.write(this.margin[2]),this.restore()}submit(){this.value={};for(let e of this.choices)this.value[e.name]=e.scaleIndex;return this.base.submit.call(this)}};h0e.exports=p8});var y0e=_((P8t,m0e)=>{"use strict";var d0e=Vc(),Yft=(t="")=>typeof t=="string"?t.replace(/^['"]|['"]$/g,""):"",g8=class{constructor(e){this.name=e.key,this.field=e.field||{},this.value=Yft(e.initial||this.field.initial||""),this.message=e.message||this.name,this.cursor=0,this.input="",this.lines=[]}},Wft=async(t={},e={},r=o=>o)=>{let o=new Set,a=t.fields||[],n=t.template,u=[],A=[],p=[],h=1;typeof n=="function"&&(n=await n());let E=-1,I=()=>n[++E],v=()=>n[E+1],b=C=>{C.line=h,u.push(C)};for(b({type:"bos",value:""});E<n.length-1;){let C=I();if(/^[^\S\n ]$/.test(C)){b({type:"text",value:C});continue}if(C===`
+`){b({type:"newline",value:C}),h++;continue}if(C==="\\"){C+=I(),b({type:"text",value:C});continue}if((C==="$"||C==="#"||C==="{")&&v()==="{"){let L=I();C+=L;let U={type:"template",open:C,inner:"",close:"",value:C},J;for(;J=I();){if(J==="}"){v()==="}"&&(J+=I()),U.value+=J,U.close=J;break}J===":"?(U.initial="",U.key=U.inner):U.initial!==void 0&&(U.initial+=J),U.value+=J,U.inner+=J}U.template=U.open+(U.initial||U.inner)+U.close,U.key=U.key||U.inner,e.hasOwnProperty(U.key)&&(U.initial=e[U.key]),U=r(U),b(U),p.push(U.key),o.add(U.key);let te=A.find(le=>le.name===U.key);U.field=a.find(le=>le.name===U.key),te||(te=new g8(U),A.push(te)),te.lines.push(U.line-1);continue}let T=u[u.length-1];T.type==="text"&&T.line===h?T.value+=C:b({type:"text",value:C})}return b({type:"eos",value:""}),{input:n,tabstops:u,unique:o,keys:p,items:A}};m0e.exports=async t=>{let e=t.options,r=new Set(e.required===!0?[]:e.required||[]),o={...e.values,...e.initial},{tabstops:a,items:n,keys:u}=await Wft(e,o),A=h8("result",t,e),p=h8("format",t,e),h=h8("validate",t,e,!0),E=t.isValue.bind(t);return async(I={},v=!1)=>{let b=0;I.required=r,I.items=n,I.keys=u,I.output="";let C=async(J,te,le,pe)=>{let Ae=await h(J,te,le,pe);return Ae===!1?"Invalid field "+le.name:Ae};for(let J of a){let te=J.value,le=J.key;if(J.type!=="template"){te&&(I.output+=te);continue}if(J.type==="template"){let pe=n.find(Pe=>Pe.name===le);e.required===!0&&I.required.add(pe.name);let Ae=[pe.input,I.values[pe.value],pe.value,te].find(E),ae=(pe.field||{}).message||J.inner;if(v){let Pe=await C(I.values[le],I,pe,b);if(Pe&&typeof Pe=="string"||Pe===!1){I.invalid.set(le,Pe);continue}I.invalid.delete(le);let g=await A(I.values[le],I,pe,b);I.output+=d0e.unstyle(g);continue}pe.placeholder=!1;let we=te;te=await p(te,I,pe,b),Ae!==te?(I.values[le]=Ae,te=t.styles.typing(Ae),I.missing.delete(ae)):(I.values[le]=void 0,Ae=`<${ae}>`,te=t.styles.primary(Ae),pe.placeholder=!0,I.required.has(le)&&I.missing.add(ae)),I.missing.has(ae)&&I.validating&&(te=t.styles.warning(Ae)),I.invalid.has(le)&&I.validating&&(te=t.styles.danger(Ae)),b===I.index&&(we!==te?te=t.styles.underline(te):te=t.styles.heading(d0e.unstyle(te))),b++}te&&(I.output+=te)}let T=I.output.split(`
+`).map(J=>" "+J),L=n.length,U=0;for(let J of n)I.invalid.has(J.name)&&J.lines.forEach(te=>{T[te][0]===" "&&(T[te]=I.styles.danger(I.symbols.bullet)+T[te].slice(1))}),t.isValue(I.values[J.name])&&U++;return I.completed=(U/L*100).toFixed(0),I.output=T.join(`
+`),I.output}};function h8(t,e,r,o){return(a,n,u,A)=>typeof u.field[t]=="function"?u.field[t].call(e,a,n,u,A):[o,a].find(p=>e.isValue(p))}});var C0e=_((S8t,E0e)=>{"use strict";var Vft=Vc(),Kft=y0e(),Jft=hC(),d8=class extends Jft{constructor(e){super(e),this.cursorHide(),this.reset(!0)}async initialize(){this.interpolate=await Kft(this),await super.initialize()}async reset(e){this.state.keys=[],this.state.invalid=new Map,this.state.missing=new Set,this.state.completed=0,this.state.values={},e!==!0&&(await this.initialize(),await this.render())}moveCursor(e){let r=this.getItem();this.cursor+=e,r.cursor+=e}dispatch(e,r){if(!r.code&&!r.ctrl&&e!=null&&this.getItem()){this.append(e,r);return}this.alert()}append(e,r){let o=this.getItem(),a=o.input.slice(0,this.cursor),n=o.input.slice(this.cursor);this.input=o.input=`${a}${e}${n}`,this.moveCursor(1),this.render()}delete(){let e=this.getItem();if(this.cursor<=0||!e.input)return this.alert();let r=e.input.slice(this.cursor),o=e.input.slice(0,this.cursor-1);this.input=e.input=`${o}${r}`,this.moveCursor(-1),this.render()}increment(e){return e>=this.state.keys.length-1?0:e+1}decrement(e){return e<=0?this.state.keys.length-1:e-1}first(){this.state.index=0,this.render()}last(){this.state.index=this.state.keys.length-1,this.render()}right(){if(this.cursor>=this.input.length)return this.alert();this.moveCursor(1),this.render()}left(){if(this.cursor<=0)return this.alert();this.moveCursor(-1),this.render()}prev(){this.state.index=this.decrement(this.state.index),this.getItem(),this.render()}next(){this.state.index=this.increment(this.state.index),this.getItem(),this.render()}up(){this.prev()}down(){this.next()}format(e){let r=this.state.completed<100?this.styles.warning:this.styles.success;return this.state.submitted===!0&&this.state.completed!==100&&(r=this.styles.danger),r(`${this.state.completed}% completed`)}async render(){let{index:e,keys:r=[],submitted:o,size:a}=this.state,n=[this.options.newline,`
+`].find(J=>J!=null),u=await this.prefix(),A=await this.separator(),p=await this.message(),h=[u,p,A].filter(Boolean).join(" ");this.state.prompt=h;let E=await this.header(),I=await this.error()||"",v=await this.hint()||"",b=o?"":await this.interpolate(this.state),C=this.state.key=r[e]||"",T=await this.format(C),L=await this.footer();T&&(h+=" "+T),v&&!T&&this.state.completed===0&&(h+=" "+v),this.clear(a);let U=[E,h,b,L,I.trim()];this.write(U.filter(Boolean).join(n)),this.restore()}getItem(e){let{items:r,keys:o,index:a}=this.state,n=r.find(u=>u.name===o[a]);return n&&n.input!=null&&(this.input=n.input,this.cursor=n.cursor),n}async submit(){typeof this.interpolate!="function"&&await this.initialize(),await this.interpolate(this.state,!0);let{invalid:e,missing:r,output:o,values:a}=this.state;if(e.size){let A="";for(let[p,h]of e)A+=`Invalid ${p}: ${h}
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u.call(this,A,p,h)}),Vyt({Config:e.Config,Node:e.Node,Layout:t("Layout",Kyt),Size:t("Size",TEe),Value:t("Value",REe),getInstanceCount:function(){return e.getInstanceCount.apply(e,arguments)}},tu)}});var MEe=_((exports,module)=>{(function(t,e){typeof define=="function"&&define.amd?define([],function(){return e}):typeof module=="object"&&module.exports?module.exports=e:(t.nbind=t.nbind||{}).init=e})(exports,function(Module,cb){typeof Module=="function"&&(cb=Module,Module={}),Module.onRuntimeInitialized=function(t,e){return function(){t&&t.apply(this,arguments);try{Module.ccall("nbind_init")}catch(r){e(r);return}e(null,{bind:Module._nbind_value,reflect:Module.NBind.reflect,queryType:Module.NBind.queryType,toggleLightGC:Module.toggleLightGC,lib:Module})}}(Module.onRuntimeInitialized,cb);var Module;Module||(Module=(typeof Module<"u"?Module:null)||{});var moduleOverrides={};for(var key in Module)Module.hasOwnProperty(key)&&(moduleOverrides[key]=Module[key]);var ENVIRONMENT_IS_WEB=!1,ENVIRONMENT_IS_WORKER=!1,ENVIRONMENT_IS_NODE=!1,ENVIRONMENT_IS_SHELL=!1;if(Module.ENVIRONMENT)if(Module.ENVIRONMENT==="WEB")ENVIRONMENT_IS_WEB=!0;else if(Module.ENVIRONMENT==="WORKER")ENVIRONMENT_IS_WORKER=!0;else if(Module.ENVIRONMENT==="NODE")ENVIRONMENT_IS_NODE=!0;else if(Module.ENVIRONMENT==="SHELL")ENVIRONMENT_IS_SHELL=!0;else throw new Error("The provided Module['ENVIRONMENT'] value is not valid. It must be one of: WEB|WORKER|NODE|SHELL.");else ENVIRONMENT_IS_WEB=typeof window=="object",ENVIRONMENT_IS_WORKER=typeof importScripts=="function",ENVIRONMENT_IS_NODE=typeof process=="object"&&typeof Be=="function"&&!ENVIRONMENT_IS_WEB&&!ENVIRONMENT_IS_WORKER,ENVIRONMENT_IS_SHELL=!ENVIRONMENT_IS_WEB&&!ENVIRONMENT_IS_NODE&&!ENVIRONMENT_IS_WORKER;if(ENVIRONMENT_IS_NODE){Module.print||(Module.print=console.log),Module.printErr||(Module.printErr=console.warn);var nodeFS,nodePath;Module.read=function(e,r){nodeFS||(nodeFS={}("")),nodePath||(nodePath={}("")),e=nodePath.normalize(e);var o=nodeFS.readFileSync(e);return r?o:o.toString()},Module.readBinary=function(e){var r=Module.read(e,!0);return r.buffer||(r=new Uint8Array(r)),assert(r.buffer),r},Module.load=function(e){globalEval(read(e))},Module.thisProgram||(process.argv.length>1?Module.thisProgram=process.argv[1].replace(/\\/g,"/"):Module.thisProgram="unknown-program"),Module.arguments=process.argv.slice(2),typeof module<"u"&&(module.exports=Module),Module.inspect=function(){return"[Emscripten Module object]"}}else if(ENVIRONMENT_IS_SHELL)Module.print||(Module.print=print),typeof printErr<"u"&&(Module.printErr=printErr),typeof read<"u"?Module.read=read:Module.read=function(){throw"no read() available"},Module.readBinary=function(e){if(typeof readbuffer=="function")return new Uint8Array(readbuffer(e));var r=read(e,"binary");return assert(typeof r=="object"),r},typeof scriptArgs<"u"?Module.arguments=scriptArgs:typeof arguments<"u"&&(Module.arguments=arguments),typeof quit=="function"&&(Module.quit=function(t,e){quit(t)});else if(ENVIRONMENT_IS_WEB||ENVIRONMENT_IS_WORKER){if(Module.read=function(e){var r=new XMLHttpRequest;return r.open("GET",e,!1),r.send(null),r.responseText},ENVIRONMENT_IS_WORKER&&(Module.readBinary=function(e){var r=new XMLHttpRequest;return r.open("GET",e,!1),r.responseType="arraybuffer",r.send(null),new Uint8Array(r.response)}),Module.readAsync=function(e,r,o){var a=new XMLHttpRequest;a.open("GET",e,!0),a.responseType="arraybuffer",a.onload=function(){a.status==200||a.status==0&&a.response?r(a.response):o()},a.onerror=o,a.send(null)},typeof arguments<"u"&&(Module.arguments=arguments),typeof console<"u")Module.print||(Module.print=function(e){console.log(e)}),Module.printErr||(Module.printErr=function(e){console.warn(e)});else{var TRY_USE_DUMP=!1;Module.print||(Module.print=TRY_USE_DUMP&&typeof dump<"u"?function(t){dump(t)}:function(t){})}ENVIRONMENT_IS_WORKER&&(Module.load=importScripts),typeof Module.setWindowTitle>"u"&&(Module.setWindowTitle=function(t){document.title=t})}else throw"Unknown runtime environment. Where are we?";function globalEval(t){eval.call(null,t)}!Module.load&&Module.read&&(Module.load=function(e){globalEval(Module.read(e))}),Module.print||(Module.print=function(){}),Module.printErr||(Module.printErr=Module.print),Module.arguments||(Module.arguments=[]),Module.thisProgram||(Module.thisProgram="./this.program"),Module.quit||(Module.quit=function(t,e){throw e}),Module.print=Module.print,Module.printErr=Module.printErr,Module.preRun=[],Module.postRun=[];for(var key in moduleOverrides)moduleOverrides.hasOwnProperty(key)&&(Module[key]=moduleOverrides[key]);moduleOverrides=void 0;var Runtime={setTempRet0:function(t){return tempRet0=t,t},getTempRet0:function(){return tempRet0},stackSave:function(){return STACKTOP},stackRestore:function(t){STACKTOP=t},getNativeTypeSize:function(t){switch(t){case"i1":case"i8":return 1;case"i16":return 2;case"i32":return 4;case"i64":return 8;case"float":return 4;case"double":return 8;default:{if(t[t.length-1]==="*")return Runtime.QUANTUM_SIZE;if(t[0]==="i"){var e=parseInt(t.substr(1));return assert(e%8===0),e/8}else return 0}}},getNativeFieldSize:function(t){return Math.max(Runtime.getNativeTypeSize(t),Runtime.QUANTUM_SIZE)},STACK_ALIGN:16,prepVararg:function(t,e){return e==="double"||e==="i64"?t&7&&(assert((t&7)===4),t+=4):assert((t&3)===0),t},getAlignSize:function(t,e,r){return!r&&(t=="i64"||t=="double")?8:t?Math.min(e||(t?Runtime.getNativeFieldSize(t):0),Runtime.QUANTUM_SIZE):Math.min(e,8)},dynCall:function(t,e,r){return r&&r.length?Module["dynCall_"+t].apply(null,[e].concat(r)):Module["dynCall_"+t].call(null,e)},functionPointers:[],addFunction:function(t){for(var e=0;e<Runtime.functionPointers.length;e++)if(!Runtime.functionPointers[e])return Runtime.functionPointers[e]=t,2*(1+e);throw"Finished up all reserved function pointers. Use a higher value for RESERVED_FUNCTION_POINTERS."},removeFunction:function(t){Runtime.functionPointers[(t-2)/2]=null},warnOnce:function(t){Runtime.warnOnce.shown||(Runtime.warnOnce.shown={}),Runtime.warnOnce.shown[t]||(Runtime.warnOnce.shown[t]=1,Module.printErr(t))},funcWrappers:{},getFuncWrapper:function(t,e){if(!!t){assert(e),Runtime.funcWrappers[e]||(Runtime.funcWrappers[e]={});var r=Runtime.funcWrappers[e];return r[t]||(e.length===1?r[t]=function(){return Runtime.dynCall(e,t)}:e.length===2?r[t]=function(a){return Runtime.dynCall(e,t,[a])}:r[t]=function(){return Runtime.dynCall(e,t,Array.prototype.slice.call(arguments))}),r[t]}},getCompilerSetting:function(t){throw"You must build with -s RETAIN_COMPILER_SETTINGS=1 for Runtime.getCompilerSetting or emscripten_get_compiler_setting to work"},stackAlloc:function(t){var e=STACKTOP;return STACKTOP=STACKTOP+t|0,STACKTOP=STACKTOP+15&-16,e},staticAlloc:function(t){var e=STATICTOP;return STATICTOP=STATICTOP+t|0,STATICTOP=STATICTOP+15&-16,e},dynamicAlloc:function(t){var e=HEAP32[DYNAMICTOP_PTR>>2],r=(e+t+15|0)&-16;if(HEAP32[DYNAMICTOP_PTR>>2]=r,r>=TOTAL_MEMORY){var o=enlargeMemory();if(!o)return HEAP32[DYNAMICTOP_PTR>>2]=e,0}return e},alignMemory:function(t,e){var r=t=Math.ceil(t/(e||16))*(e||16);return r},makeBigInt:function(t,e,r){var o=r?+(t>>>0)+ +(e>>>0)*4294967296:+(t>>>0)+ +(e|0)*4294967296;return o},GLOBAL_BASE:8,QUANTUM_SIZE:4,__dummy__:0};Module.Runtime=Runtime;var ABORT=0,EXITSTATUS=0;function assert(t,e){t||abort("Assertion failed: "+e)}function getCFunc(ident){var func=Module["_"+ident];if(!func)try{func=eval("_"+ident)}catch(t){}return assert(func,"Cannot call unknown function "+ident+" (perhaps LLVM optimizations or closure removed it?)"),func}var cwrap,ccall;(function(){var JSfuncs={stackSave:function(){Runtime.stackSave()},stackRestore:function(){Runtime.stackRestore()},arrayToC:function(t){var e=Runtime.stackAlloc(t.length);return writeArrayToMemory(t,e),e},stringToC:function(t){var e=0;if(t!=null&&t!==0){var r=(t.length<<2)+1;e=Runtime.stackAlloc(r),stringToUTF8(t,e,r)}return e}},toC={string:JSfuncs.stringToC,array:JSfuncs.arrayToC};ccall=function(e,r,o,a,n){var u=getCFunc(e),A=[],p=0;if(a)for(var h=0;h<a.length;h++){var E=toC[o[h]];E?(p===0&&(p=Runtime.stackSave()),A[h]=E(a[h])):A[h]=a[h]}var I=u.apply(null,A);if(r==="string"&&(I=Pointer_stringify(I)),p!==0){if(n&&n.async){EmterpreterAsync.asyncFinalizers.push(function(){Runtime.stackRestore(p)});return}Runtime.stackRestore(p)}return I};var sourceRegex=/^function\s*[a-zA-Z$_0-9]*\s*\(([^)]*)\)\s*{\s*([^*]*?)[\s;]*(?:return\s*(.*?)[;\s]*)?}$/;function parseJSFunc(t){var e=t.toString().match(sourceRegex).slice(1);return{arguments:e[0],body:e[1],returnValue:e[2]}}var JSsource=null;function ensureJSsource(){if(!JSsource){JSsource={};for(var t in JSfuncs)JSfuncs.hasOwnProperty(t)&&(JSsource[t]=parseJSFunc(JSfuncs[t]))}}cwrap=function cwrap(ident,returnType,argTypes){argTypes=argTypes||[];var cfunc=getCFunc(ident),numericArgs=argTypes.every(function(t){return t==="number"}),numericRet=returnType!=="string";if(numericRet&&numericArgs)return cfunc;var argNames=argTypes.map(function(t,e){return"$"+e}),funcstr="(function("+argNames.join(",")+") {",nargs=argTypes.length;if(!numericArgs){ensureJSsource(),funcstr+="var stack = "+JSsource.stackSave.body+";";for(var i=0;i<nargs;i++){var arg=argNames[i],type=argTypes[i];if(type!=="number"){var convertCode=JSsource[type+"ToC"];funcstr+="var "+convertCode.arguments+" = "+arg+";",funcstr+=convertCode.body+";",funcstr+=arg+"=("+convertCode.returnValue+");"}}}var cfuncname=parseJSFunc(function(){return cfunc}).returnValue;if(funcstr+="var ret = "+cfuncname+"("+argNames.join(",")+");",!numericRet){var strgfy=parseJSFunc(function(){return Pointer_stringify}).returnValue;funcstr+="ret = "+strgfy+"(ret);"}return numericArgs||(ensureJSsource(),funcstr+=JSsource.stackRestore.body.replace("()","(stack)")+";"),funcstr+="return ret})",eval(funcstr)}})(),Module.ccall=ccall,Module.cwrap=cwrap;function setValue(t,e,r,o){switch(r=r||"i8",r.charAt(r.length-1)==="*"&&(r="i32"),r){case"i1":HEAP8[t>>0]=e;break;case"i8":HEAP8[t>>0]=e;break;case"i16":HEAP16[t>>1]=e;break;case"i32":HEAP32[t>>2]=e;break;case"i64":tempI64=[e>>>0,(tempDouble=e,+Math_abs(tempDouble)>=1?tempDouble>0?(Math_min(+Math_floor(tempDouble/4294967296),4294967295)|0)>>>0:~~+Math_ceil((tempDouble-+(~~tempDouble>>>0))/4294967296)>>>0:0)],HEAP32[t>>2]=tempI64[0],HEAP32[t+4>>2]=tempI64[1];break;case"float":HEAPF32[t>>2]=e;break;case"double":HEAPF64[t>>3]=e;break;default:abort("invalid type for setValue: "+r)}}Module.setValue=setValue;function getValue(t,e,r){switch(e=e||"i8",e.charAt(e.length-1)==="*"&&(e="i32"),e){case"i1":return HEAP8[t>>0];case"i8":return HEAP8[t>>0];case"i16":return HEAP16[t>>1];case"i32":return HEAP32[t>>2];case"i64":return HEAP32[t>>2];case"float":return HEAPF32[t>>2];case"double":return HEAPF64[t>>3];default:abort("invalid type for setValue: "+e)}return null}Module.getValue=getValue;var ALLOC_NORMAL=0,ALLOC_STACK=1,ALLOC_STATIC=2,ALLOC_DYNAMIC=3,ALLOC_NONE=4;Module.ALLOC_NORMAL=ALLOC_NORMAL,Module.ALLOC_STACK=ALLOC_STACK,Module.ALLOC_STATIC=ALLOC_STATIC,Module.ALLOC_DYNAMIC=ALLOC_DYNAMIC,Module.ALLOC_NONE=ALLOC_NONE;function allocate(t,e,r,o){var a,n;typeof t=="number"?(a=!0,n=t):(a=!1,n=t.length);var u=typeof e=="string"?e:null,A;if(r==ALLOC_NONE?A=o:A=[typeof _malloc=="function"?_malloc:Runtime.staticAlloc,Runtime.stackAlloc,Runtime.staticAlloc,Runtime.dynamicAlloc][r===void 0?ALLOC_STATIC:r](Math.max(n,u?1:e.length)),a){var o=A,p;for(assert((A&3)==0),p=A+(n&-4);o<p;o+=4)HEAP32[o>>2]=0;for(p=A+n;o<p;)HEAP8[o++>>0]=0;return A}if(u==="i8")return t.subarray||t.slice?HEAPU8.set(t,A):HEAPU8.set(new Uint8Array(t),A),A;for(var h=0,E,I,v;h<n;){var b=t[h];if(typeof b=="function"&&(b=Runtime.getFunctionIndex(b)),E=u||e[h],E===0){h++;continue}E=="i64"&&(E="i32"),setValue(A+h,b,E),v!==E&&(I=Runtime.getNativeTypeSize(E),v=E),h+=I}return A}Module.allocate=allocate;function getMemory(t){return staticSealed?runtimeInitialized?_malloc(t):Runtime.dynamicAlloc(t):Runtime.staticAlloc(t)}Module.getMemory=getMemory;function Pointer_stringify(t,e){if(e===0||!t)return"";for(var r=0,o,a=0;o=HEAPU8[t+a>>0],r|=o,!(o==0&&!e||(a++,e&&a==e)););e||(e=a);var n="";if(r<128){for(var u=1024,A;e>0;)A=String.fromCharCode.apply(String,HEAPU8.subarray(t,t+Math.min(e,u))),n=n?n+A:A,t+=u,e-=u;return n}return Module.UTF8ToString(t)}Module.Pointer_stringify=Pointer_stringify;function AsciiToString(t){for(var e="";;){var r=HEAP8[t++>>0];if(!r)return e;e+=String.fromCharCode(r)}}Module.AsciiToString=AsciiToString;function stringToAscii(t,e){return writeAsciiToMemory(t,e,!1)}Module.stringToAscii=stringToAscii;var UTF8Decoder=typeof TextDecoder<"u"?new TextDecoder("utf8"):void 0;function UTF8ArrayToString(t,e){for(var r=e;t[r];)++r;if(r-e>16&&t.subarray&&UTF8Decoder)return UTF8Decoder.decode(t.subarray(e,r));for(var o,a,n,u,A,p,h="";;){if(o=t[e++],!o)return h;if(!(o&128)){h+=String.fromCharCode(o);continue}if(a=t[e++]&63,(o&224)==192){h+=String.fromCharCode((o&31)<<6|a);continue}if(n=t[e++]&63,(o&240)==224?o=(o&15)<<12|a<<6|n:(u=t[e++]&63,(o&248)==240?o=(o&7)<<18|a<<12|n<<6|u:(A=t[e++]&63,(o&252)==248?o=(o&3)<<24|a<<18|n<<12|u<<6|A:(p=t[e++]&63,o=(o&1)<<30|a<<24|n<<18|u<<12|A<<6|p))),o<65536)h+=String.fromCharCode(o);else{var E=o-65536;h+=String.fromCharCode(55296|E>>10,56320|E&1023)}}}Module.UTF8ArrayToString=UTF8ArrayToString;function UTF8ToString(t){return UTF8ArrayToString(HEAPU8,t)}Module.UTF8ToString=UTF8ToString;function stringToUTF8Array(t,e,r,o){if(!(o>0))return 0;for(var a=r,n=r+o-1,u=0;u<t.length;++u){var A=t.charCodeAt(u);if(A>=55296&&A<=57343&&(A=65536+((A&1023)<<10)|t.charCodeAt(++u)&1023),A<=127){if(r>=n)break;e[r++]=A}else if(A<=2047){if(r+1>=n)break;e[r++]=192|A>>6,e[r++]=128|A&63}else if(A<=65535){if(r+2>=n)break;e[r++]=224|A>>12,e[r++]=128|A>>6&63,e[r++]=128|A&63}else if(A<=2097151){if(r+3>=n)break;e[r++]=240|A>>18,e[r++]=128|A>>12&63,e[r++]=128|A>>6&63,e[r++]=128|A&63}else if(A<=67108863){if(r+4>=n)break;e[r++]=248|A>>24,e[r++]=128|A>>18&63,e[r++]=128|A>>12&63,e[r++]=128|A>>6&63,e[r++]=128|A&63}else{if(r+5>=n)break;e[r++]=252|A>>30,e[r++]=128|A>>24&63,e[r++]=128|A>>18&63,e[r++]=128|A>>12&63,e[r++]=128|A>>6&63,e[r++]=128|A&63}}return e[r]=0,r-a}Module.stringToUTF8Array=stringToUTF8Array;function stringToUTF8(t,e,r){return stringToUTF8Array(t,HEAPU8,e,r)}Module.stringToUTF8=stringToUTF8;function lengthBytesUTF8(t){for(var e=0,r=0;r<t.length;++r){var o=t.charCodeAt(r);o>=55296&&o<=57343&&(o=65536+((o&1023)<<10)|t.charCodeAt(++r)&1023),o<=127?++e:o<=2047?e+=2:o<=65535?e+=3:o<=2097151?e+=4:o<=67108863?e+=5:e+=6}return e}Module.lengthBytesUTF8=lengthBytesUTF8;var UTF16Decoder=typeof TextDecoder<"u"?new TextDecoder("utf-16le"):void 0;function demangle(t){var e=Module.___cxa_demangle||Module.__cxa_demangle;if(e){try{var r=t.substr(1),o=lengthBytesUTF8(r)+1,a=_malloc(o);stringToUTF8(r,a,o);var n=_malloc(4),u=e(a,0,0,n);if(getValue(n,"i32")===0&&u)return Pointer_stringify(u)}catch{}finally{a&&_free(a),n&&_free(n),u&&_free(u)}return t}return Runtime.warnOnce("warning: build with  -s DEMANGLE_SUPPORT=1  to link in libcxxabi demangling"),t}function demangleAll(t){var e=/__Z[\w\d_]+/g;return t.replace(e,function(r){var o=demangle(r);return r===o?r:r+" ["+o+"]"})}function jsStackTrace(){var t=new Error;if(!t.stack){try{throw new Error(0)}catch(e){t=e}if(!t.stack)return"(no stack trace available)"}return t.stack.toString()}function stackTrace(){var t=jsStackTrace();return Module.extraStackTrace&&(t+=`
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Either (1) compile with  -s TOTAL_MEMORY=X  with X higher than the current value "+TOTAL_MEMORY+", (2) compile with  -s ALLOW_MEMORY_GROWTH=1  which allows increasing the size at runtime but prevents some optimizations, (3) set Module.TOTAL_MEMORY to a higher value before the program runs, or (4) if you want malloc to return NULL (0) instead of this abort, compile with  -s ABORTING_MALLOC=0 ")}function enlargeMemory(){abortOnCannotGrowMemory()}var TOTAL_STACK=Module.TOTAL_STACK||5242880,TOTAL_MEMORY=Module.TOTAL_MEMORY||134217728;TOTAL_MEMORY<TOTAL_STACK&&Module.printErr("TOTAL_MEMORY should be larger than TOTAL_STACK, was "+TOTAL_MEMORY+"! 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Browser.mainLoop.timingMode==0&&(Browser.mainLoop.tickStartTime=_emscripten_get_now());Browser.mainLoop.method==="timeout"&&Module.ctx&&(Module.printErr("Looks like you are rendering without using requestAnimationFrame for the main loop. You should use 0 for the frame rate in emscripten_set_main_loop in order to use requestAnimationFrame, as that can greatly improve your frame rates!"),Browser.mainLoop.method=""),Browser.mainLoop.runIter(n),!(u<Browser.mainLoop.currentlyRunningMainloop)&&(typeof SDL=="object"&&SDL.audio&&SDL.audio.queueNewAudioData&&SDL.audio.queueNewAudioData(),Browser.mainLoop.scheduler())}}},a||(e&&e>0?_emscripten_set_main_loop_timing(0,1e3/e):_emscripten_set_main_loop_timing(1,1),Browser.mainLoop.scheduler()),r)throw"SimulateInfiniteLoop"}var Browser={mainLoop:{scheduler:null,method:"",currentlyRunningMainloop:0,func:null,arg:0,timingMode:0,timingValue:0,currentFrameNumber:0,queue:[],pause:function(){Browser.mainLoop.scheduler=null,Browser.mainLoop.currentlyRunningMainloop++},resume:function(){Browser.mainLoop.currentlyRunningMainloop++;var t=Browser.mainLoop.timingMode,e=Browser.mainLoop.timingValue,r=Browser.mainLoop.func;Browser.mainLoop.func=null,_emscripten_set_main_loop(r,0,!1,Browser.mainLoop.arg,!0),_emscripten_set_main_loop_timing(t,e),Browser.mainLoop.scheduler()},updateStatus:function(){if(Module.setStatus){var t=Module.statusMessage||"Please wait...",e=Browser.mainLoop.remainingBlockers,r=Browser.mainLoop.expectedBlockers;e?e<r?Module.setStatus(t+" ("+(r-e)+"/"+r+")"):Module.setStatus(t):Module.setStatus("")}},runIter:function(t){if(!ABORT){if(Module.preMainLoop){var e=Module.preMainLoop();if(e===!1)return}try{t()}catch(r){if(r instanceof ExitStatus)return;throw r&&typeof r=="object"&&r.stack&&Module.printErr("exception thrown: "+[r,r.stack]),r}Module.postMainLoop&&Module.postMainLoop()}}},isFullscreen:!1,pointerLock:!1,moduleContextCreatedCallbacks:[],workers:[],init:function(){if(Module.preloadPlugins||(Module.preloadPlugins=[]),Browser.initted)return;Browser.initted=!0;try{new Blob,Browser.hasBlobConstructor=!0}catch{Browser.hasBlobConstructor=!1,console.log("warning: no blob constructor, cannot create blobs with mimetypes")}Browser.BlobBuilder=typeof MozBlobBuilder<"u"?MozBlobBuilder:typeof WebKitBlobBuilder<"u"?WebKitBlobBuilder:Browser.hasBlobConstructor?null:console.log("warning: no BlobBuilder"),Browser.URLObject=typeof window<"u"?window.URL?window.URL:window.webkitURL:void 0,!Module.noImageDecoding&&typeof Browser.URLObject>"u"&&(console.log("warning: Browser does not support creating object URLs. Built-in browser image decoding will not be available."),Module.noImageDecoding=!0);var t={};t.canHandle=function(n){return!Module.noImageDecoding&&/\.(jpg|jpeg|png|bmp)$/i.test(n)},t.handle=function(n,u,A,p){var h=null;if(Browser.hasBlobConstructor)try{h=new Blob([n],{type:Browser.getMimetype(u)}),h.size!==n.length&&(h=new Blob([new Uint8Array(n).buffer],{type:Browser.getMimetype(u)}))}catch(b){Runtime.warnOnce("Blob constructor present but fails: "+b+"; falling back to blob builder")}if(!h){var E=new Browser.BlobBuilder;E.append(new Uint8Array(n).buffer),h=E.getBlob()}var I=Browser.URLObject.createObjectURL(h),v=new Image;v.onload=function(){assert(v.complete,"Image "+u+" could not be decoded");var C=document.createElement("canvas");C.width=v.width,C.height=v.height;var T=C.getContext("2d");T.drawImage(v,0,0),Module.preloadedImages[u]=C,Browser.URLObject.revokeObjectURL(I),A&&A(n)},v.onerror=function(C){console.log("Image "+I+" could not be decoded"),p&&p()},v.src=I},Module.preloadPlugins.push(t);var e={};e.canHandle=function(n){return!Module.noAudioDecoding&&n.substr(-4)in{".ogg":1,".wav":1,".mp3":1}},e.handle=function(n,u,A,p){var h=!1;function E(T){h||(h=!0,Module.preloadedAudios[u]=T,A&&A(n))}function I(){h||(h=!0,Module.preloadedAudios[u]=new Audio,p&&p())}if(Browser.hasBlobConstructor){try{var v=new Blob([n],{type:Browser.getMimetype(u)})}catch{return I()}var b=Browser.URLObject.createObjectURL(v),C=new Audio;C.addEventListener("canplaythrough",function(){E(C)},!1),C.onerror=function(L){if(h)return;console.log("warning: browser could not fully decode audio "+u+", trying slower base64 approach");function U(J){for(var te="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/",le="=",pe="",Ae=0,ye=0,ae=0;ae<J.length;ae++)for(Ae=Ae<<8|J[ae],ye+=8;ye>=6;){var we=Ae>>ye-6&63;ye-=6,pe+=te[we]}return ye==2?(pe+=te[(Ae&3)<<4],pe+=le+le):ye==4&&(pe+=te[(Ae&15)<<2],pe+=le),pe}C.src="data:audio/x-"+u.substr(-3)+";base64,"+U(n),E(C)},C.src=b,Browser.safeSetTimeout(function(){E(C)},1e4)}else return I()},Module.preloadPlugins.push(e);function r(){Browser.pointerLock=document.pointerLockElement===Module.canvas||document.mozPointerLockElement===Module.canvas||document.webkitPointerLockElement===Module.canvas||document.msPointerLockElement===Module.canvas}var o=Module.canvas;o&&(o.requestPointerLock=o.requestPointerLock||o.mozRequestPointerLock||o.webkitRequestPointerLock||o.msRequestPointerLock||function(){},o.exitPointerLock=document.exitPointerLock||document.mozExitPointerLock||document.webkitExitPointerLock||document.msExitPointerLock||function(){},o.exitPointerLock=o.exitPointerLock.bind(document),document.addEventListener("pointerlockchange",r,!1),document.addEventListener("mozpointerlockchange",r,!1),document.addEventListener("webkitpointerlockchange",r,!1),document.addEventListener("mspointerlockchange",r,!1),Module.elementPointerLock&&o.addEventListener("click",function(a){!Browser.pointerLock&&Module.canvas.requestPointerLock&&(Module.canvas.requestPointerLock(),a.preventDefault())},!1))},createContext:function(t,e,r,o){if(e&&Module.ctx&&t==Module.canvas)return Module.ctx;var a,n;if(e){var u={antialias:!1,alpha:!1};if(o)for(var A in o)u[A]=o[A];n=GL.createContext(t,u),n&&(a=GL.getContext(n).GLctx)}else a=t.getContext("2d");return a?(r&&(e||assert(typeof GLctx>"u","cannot set in module if GLctx is used, but we are a non-GL context that would replace it"),Module.ctx=a,e&&GL.makeContextCurrent(n),Module.useWebGL=e,Browser.moduleContextCreatedCallbacks.forEach(function(p){p()}),Browser.init()),a):null},destroyContext:function(t,e,r){},fullscreenHandlersInstalled:!1,lockPointer:void 0,resizeCanvas:void 0,requestFullscreen:function(t,e,r){Browser.lockPointer=t,Browser.resizeCanvas=e,Browser.vrDevice=r,typeof Browser.lockPointer>"u"&&(Browser.lockPointer=!0),typeof Browser.resizeCanvas>"u"&&(Browser.resizeCanvas=!1),typeof Browser.vrDevice>"u"&&(Browser.vrDevice=null);var o=Module.canvas;function a(){Browser.isFullscreen=!1;var u=o.parentNode;(document.fullscreenElement||document.mozFullScreenElement||document.msFullscreenElement||document.webkitFullscreenElement||document.webkitCurrentFullScreenElement)===u?(o.exitFullscreen=document.exitFullscreen||document.cancelFullScreen||document.mozCancelFullScreen||document.msExitFullscreen||document.webkitCancelFullScreen||function(){},o.exitFullscreen=o.exitFullscreen.bind(document),Browser.lockPointer&&o.requestPointerLock(),Browser.isFullscreen=!0,Browser.resizeCanvas&&Browser.setFullscreenCanvasSize()):(u.parentNode.insertBefore(o,u),u.parentNode.removeChild(u),Browser.resizeCanvas&&Browser.setWindowedCanvasSize()),Module.onFullScreen&&Module.onFullScreen(Browser.isFullscreen),Module.onFullscreen&&Module.onFullscreen(Browser.isFullscreen),Browser.updateCanvasDimensions(o)}Browser.fullscreenHandlersInstalled||(Browser.fullscreenHandlersInstalled=!0,document.addEventListener("fullscreenchange",a,!1),document.addEventListener("mozfullscreenchange",a,!1),document.addEventListener("webkitfullscreenchange",a,!1),document.addEventListener("MSFullscreenChange",a,!1));var n=document.createElement("div");o.parentNode.insertBefore(n,o),n.appendChild(o),n.requestFullscreen=n.requestFullscreen||n.mozRequestFullScreen||n.msRequestFullscreen||(n.webkitRequestFullscreen?function(){n.webkitRequestFullscreen(Element.ALLOW_KEYBOARD_INPUT)}:null)||(n.webkitRequestFullScreen?function(){n.webkitRequestFullScreen(Element.ALLOW_KEYBOARD_INPUT)}:null),r?n.requestFullscreen({vrDisplay:r}):n.requestFullscreen()},requestFullScreen:function(t,e,r){return Module.printErr("Browser.requestFullScreen() is deprecated. Please call Browser.requestFullscreen instead."),Browser.requestFullScreen=function(o,a,n){return Browser.requestFullscreen(o,a,n)},Browser.requestFullscreen(t,e,r)},nextRAF:0,fakeRequestAnimationFrame:function(t){var e=Date.now();if(Browser.nextRAF===0)Browser.nextRAF=e+1e3/60;else for(;e+2>=Browser.nextRAF;)Browser.nextRAF+=1e3/60;var r=Math.max(Browser.nextRAF-e,0);setTimeout(t,r)},requestAnimationFrame:function t(e){typeof window>"u"?Browser.fakeRequestAnimationFrame(e):(window.requestAnimationFrame||(window.requestAnimationFrame=window.requestAnimationFrame||window.mozRequestAnimationFrame||window.webkitRequestAnimationFrame||window.msRequestAnimationFrame||window.oRequestAnimationFrame||Browser.fakeRequestAnimationFrame),window.requestAnimationFrame(e))},safeCallback:function(t){return function(){if(!ABORT)return t.apply(null,arguments)}},allowAsyncCallbacks:!0,queuedAsyncCallbacks:[],pauseAsyncCallbacks:function(){Browser.allowAsyncCallbacks=!1},resumeAsyncCallbacks:function(){if(Browser.allowAsyncCallbacks=!0,Browser.queuedAsyncCallbacks.length>0){var t=Browser.queuedAsyncCallbacks;Browser.queuedAsyncCallbacks=[],t.forEach(function(e){e()})}},safeRequestAnimationFrame:function(t){return Browser.requestAnimationFrame(function(){ABORT||(Browser.allowAsyncCallbacks?t():Browser.queuedAsyncCallbacks.push(t))})},safeSetTimeout:function(t,e){return Module.noExitRuntime=!0,setTimeout(function(){ABORT||(Browser.allowAsyncCallbacks?t():Browser.queuedAsyncCallbacks.push(t))},e)},safeSetInterval:function(t,e){return Module.noExitRuntime=!0,setInterval(function(){ABORT||Browser.allowAsyncCallbacks&&t()},e)},getMimetype:function(t){return{jpg:"image/jpeg",jpeg:"image/jpeg",png:"image/png",bmp:"image/bmp",ogg:"audio/ogg",wav:"audio/wav",mp3:"audio/mpeg"}[t.substr(t.lastIndexOf(".")+1)]},getUserMedia:function(t){window.getUserMedia||(window.getUserMedia=navigator.getUserMedia||navigator.mozGetUserMedia),window.getUserMedia(t)},getMovementX:function(t){return t.movementX||t.mozMovementX||t.webkitMovementX||0},getMovementY:function(t){return t.movementY||t.mozMovementY||t.webkitMovementY||0},getMouseWheelDelta:function(t){var e=0;switch(t.type){case"DOMMouseScroll":e=t.detail;break;case"mousewheel":e=t.wheelDelta;break;case"wheel":e=t.deltaY;break;default:throw"unrecognized mouse wheel event: "+t.type}return e},mouseX:0,mouseY:0,mouseMovementX:0,mouseMovementY:0,touches:{},lastTouches:{},calculateMouseEvent:function(t){if(Browser.pointerLock)t.type!="mousemove"&&"mozMovementX"in t?Browser.mouseMovementX=Browser.mouseMovementY=0:(Browser.mouseMovementX=Browser.getMovementX(t),Browser.mouseMovementY=Browser.getMovementY(t)),typeof SDL<"u"?(Browser.mouseX=SDL.mouseX+Browser.mouseMovementX,Browser.mouseY=SDL.mouseY+Browser.mouseMovementY):(Browser.mouseX+=Browser.mouseMovementX,Browser.mouseY+=Browser.mouseMovementY);else{var e=Module.canvas.getBoundingClientRect(),r=Module.canvas.width,o=Module.canvas.height,a=typeof window.scrollX<"u"?window.scrollX:window.pageXOffset,n=typeof window.scrollY<"u"?window.scrollY:window.pageYOffset;if(t.type==="touchstart"||t.type==="touchend"||t.type==="touchmove"){var u=t.touch;if(u===void 0)return;var A=u.pageX-(a+e.left),p=u.pageY-(n+e.top);A=A*(r/e.width),p=p*(o/e.height);var h={x:A,y:p};if(t.type==="touchstart")Browser.lastTouches[u.identifier]=h,Browser.touches[u.identifier]=h;else if(t.type==="touchend"||t.type==="touchmove"){var E=Browser.touches[u.identifier];E||(E=h),Browser.lastTouches[u.identifier]=E,Browser.touches[u.identifier]=h}return}var I=t.pageX-(a+e.left),v=t.pageY-(n+e.top);I=I*(r/e.width),v=v*(o/e.height),Browser.mouseMovementX=I-Browser.mouseX,Browser.mouseMovementY=v-Browser.mouseY,Browser.mouseX=I,Browser.mouseY=v}},asyncLoad:function(t,e,r,o){var a=o?"":"al "+t;Module.readAsync(t,function(n){assert(n,'Loading data file "'+t+'" failed (no arrayBuffer).'),e(new Uint8Array(n)),a&&removeRunDependency(a)},function(n){if(r)r();else throw'Loading data file "'+t+'" failed.'}),a&&addRunDependency(a)},resizeListeners:[],updateResizeListeners:function(){var t=Module.canvas;Browser.resizeListeners.forEach(function(e){e(t.width,t.height)})},setCanvasSize:function(t,e,r){var o=Module.canvas;Browser.updateCanvasDimensions(o,t,e),r||Browser.updateResizeListeners()},windowedWidth:0,windowedHeight:0,setFullscreenCanvasSize:function(){if(typeof SDL<"u"){var t=HEAPU32[SDL.screen+Runtime.QUANTUM_SIZE*0>>2];t=t|8388608,HEAP32[SDL.screen+Runtime.QUANTUM_SIZE*0>>2]=t}Browser.updateResizeListeners()},setWindowedCanvasSize:function(){if(typeof SDL<"u"){var t=HEAPU32[SDL.screen+Runtime.QUANTUM_SIZE*0>>2];t=t&-8388609,HEAP32[SDL.screen+Runtime.QUANTUM_SIZE*0>>2]=t}Browser.updateResizeListeners()},updateCanvasDimensions:function(t,e,r){e&&r?(t.widthNative=e,t.heightNative=r):(e=t.widthNative,r=t.heightNative);var o=e,a=r;if(Module.forcedAspectRatio&&Module.forcedAspectRatio>0&&(o/a<Module.forcedAspectRatio?o=Math.round(a*Module.forcedAspectRatio):a=Math.round(o/Module.forcedAspectRatio)),(document.fullscreenElement||document.mozFullScreenElement||document.msFullscreenElement||document.webkitFullscreenElement||document.webkitCurrentFullScreenElement)===t.parentNode&&typeof screen<"u"){var n=Math.min(screen.width/o,screen.height/a);o=Math.round(o*n),a=Math.round(a*n)}Browser.resizeCanvas?(t.width!=o&&(t.width=o),t.height!=a&&(t.height=a),typeof t.style<"u"&&(t.style.removeProperty("width"),t.style.removeProperty("height"))):(t.width!=e&&(t.width=e),t.height!=r&&(t.height=r),typeof t.style<"u"&&(o!=e||a!=r?(t.style.setProperty("width",o+"px","important"),t.style.setProperty("height",a+"px","important")):(t.style.removeProperty("width"),t.style.removeProperty("height"))))},wgetRequests:{},nextWgetRequestHandle:0,getNextWgetRequestHandle:function(){var t=Browser.nextWgetRequestHandle;return Browser.nextWgetRequestHandle++,t}},SYSCALLS={varargs:0,get:function(t){SYSCALLS.varargs+=4;var e=HEAP32[SYSCALLS.varargs-4>>2];return e},getStr:function(){var t=Pointer_stringify(SYSCALLS.get());return t},get64:function(){var t=SYSCALLS.get(),e=SYSCALLS.get();return t>=0?assert(e===0):assert(e===-1),t},getZero:function(){assert(SYSCALLS.get()===0)}};function ___syscall6(t,e){SYSCALLS.varargs=e;try{var r=SYSCALLS.getStreamFromFD();return FS.close(r),0}catch(o){return(typeof FS>"u"||!(o instanceof FS.ErrnoError))&&abort(o),-o.errno}}function ___syscall54(t,e){SYSCALLS.varargs=e;try{return 0}catch(r){return(typeof FS>"u"||!(r instanceof FS.ErrnoError))&&abort(r),-r.errno}}function _typeModule(t){var e=[[0,1,"X"],[1,1,"const X"],[128,1,"X *"],[256,1,"X &"],[384,1,"X &&"],[512,1,"std::shared_ptr<X>"],[640,1,"std::unique_ptr<X>"],[5120,1,"std::vector<X>"],[6144,2,"std::array<X, Y>"],[9216,-1,"std::function<X (Y)>"]];function r(p,h,E,I,v,b){if(h==1){var C=I&896;(C==128||C==256||C==384)&&(p="X const")}var T;return b?T=E.replace("X",p).replace("Y",v):T=p.replace("X",E).replace("Y",v),T.replace(/([*&]) (?=[*&])/g,"$1")}function o(p,h,E,I,v){throw new Error(p+" type "+E.replace("X",h+"?")+(I?" with flag "+I:"")+" in "+v)}function a(p,h,E,I,v,b,C,T){b===void 0&&(b="X"),T===void 0&&(T=1);var L=E(p);if(L)return L;var U=I(p),J=U.placeholderFlag,te=e[J];C&&te&&(b=r(C[2],C[0],b,te[0],"?",!0));var le;J==0&&(le="Unbound"),J>=10&&(le="Corrupt"),T>20&&(le="Deeply nested"),le&&o(le,p,b,J,v||"?");var 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A=_nbind.readAsciiString(u),p=_nbind.readPolicyList(e),h=HEAPU32.subarray(t/4,t/4+2),E={flags:2048|(p.Value?2:0),id:h[0],name:A},I=_nbind.makeType(_nbind.constructType,E);I.ptrType=_nbind.getComplexType(h[1],_nbind.constructType,_nbind.getType,_nbind.queryType),I.destroy=_nbind.makeMethodCaller(I.ptrType,{boundID:E.id,flags:0,name:"destroy",num:0,ptr:n,title:I.name+".free",typeList:["void","uint32_t","uint32_t"]}),a&&(I.superIdList=Array.prototype.slice.call(HEAPU32.subarray(r/4,r/4+a)),I.upcastList=Array.prototype.slice.call(HEAPU32.subarray(o/4,o/4+a))),Module[I.name]=I.makeBound(p),_nbind.BindClass.list.push(I)}function _removeAccessorPrefix(t){var e=/^[Gg]et_?([A-Z]?([A-Z]?))/;return t.replace(e,function(r,o,a){return a?o:o.toLowerCase()})}function __nbind_register_function(t,e,r,o,a,n,u,A,p,h){var E=_nbind.getType(t),I=_nbind.readPolicyList(e),v=_nbind.readTypeIdList(r,o),b;if(u==5)b=[{direct:a,name:"__nbindConstructor",ptr:0,title:E.name+" constructor",typeList:["uint32_t"].concat(v.slice(1))},{direct:n,name:"__nbindValueConstructor",ptr:0,title:E.name+" value constructor",typeList:["void","uint32_t"].concat(v.slice(1))}];else{var C=_nbind.readAsciiString(A),T=(E.name&&E.name+".")+C;(u==3||u==4)&&(C=_removeAccessorPrefix(C)),b=[{boundID:t,direct:n,name:C,ptr:a,title:T,typeList:v}]}for(var L=0,U=b;L<U.length;L++){var J=U[L];J.signatureType=u,J.policyTbl=I,J.num=p,J.flags=h,E.addMethod(J)}}function _nbind_value(t,e){_nbind.typeNameTbl[t]||_nbind.throwError("Unknown value type "+t),Module.NBind.bind_value(t,e),_defineHidden(_nbind.typeNameTbl[t].proto.prototype.__nbindValueConstructor)(e.prototype,"__nbindValueConstructor")}Module._nbind_value=_nbind_value;function __nbind_get_value_object(t,e){var r=_nbind.popValue(t);if(!r.fromJS)throw new Error("Object "+r+" has no fromJS function");r.fromJS(function(){r.__nbindValueConstructor.apply(this,Array.prototype.concat.apply([e],arguments))})}function _emscripten_memcpy_big(t,e,r){return HEAPU8.set(HEAPU8.subarray(e,e+r),t),t}function __nbind_register_primitive(t,e,r){var o={flags:1024|r,id:t,ptrSize:e};_nbind.makeType(_nbind.constructType,o)}var cttz_i8=allocate([8,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,5,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,6,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,5,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,7,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,5,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,6,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,5,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0,4,0,1,0,2,0,1,0,3,0,1,0,2,0,1,0],"i8",ALLOC_STATIC);function ___setErrNo(t){return Module.___errno_location&&(HEAP32[Module.___errno_location()>>2]=t),t}function _llvm_stacksave(){var t=_llvm_stacksave;return t.LLVM_SAVEDSTACKS||(t.LLVM_SAVEDSTACKS=[]),t.LLVM_SAVEDSTACKS.push(Runtime.stackSave()),t.LLVM_SAVEDSTACKS.length-1}function ___syscall140(t,e){SYSCALLS.varargs=e;try{var r=SYSCALLS.getStreamFromFD(),o=SYSCALLS.get(),a=SYSCALLS.get(),n=SYSCALLS.get(),u=SYSCALLS.get(),A=a;return FS.llseek(r,A,u),HEAP32[n>>2]=r.position,r.getdents&&A===0&&u===0&&(r.getdents=null),0}catch(p){return(typeof FS>"u"||!(p instanceof FS.ErrnoError))&&abort(p),-p.errno}}function ___syscall146(t,e){SYSCALLS.varargs=e;try{var r=SYSCALLS.get(),o=SYSCALLS.get(),a=SYSCALLS.get(),n=0;___syscall146.buffer||(___syscall146.buffers=[null,[],[]],___syscall146.printChar=function(E,I){var v=___syscall146.buffers[E];assert(v),I===0||I===10?((E===1?Module.print:Module.printErr)(UTF8ArrayToString(v,0)),v.length=0):v.push(I)});for(var u=0;u<a;u++){for(var A=HEAP32[o+u*8>>2],p=HEAP32[o+(u*8+4)>>2],h=0;h<p;h++)___syscall146.printChar(r,HEAPU8[A+h]);n+=p}return n}catch(E){return(typeof FS>"u"||!(E instanceof FS.ErrnoError))&&abort(E),-E.errno}}function __nbind_finish(){for(var t=0,e=_nbind.BindClass.list;t<e.length;t++){var r=e[t];r.finish()}}var ___dso_handle=STATICTOP;STATICTOP+=16,function(_nbind){var typeIdTbl={};_nbind.typeNameTbl={};var Pool=function(){function t(){}return t.lalloc=function(e){e=e+7&-8;var r=HEAPU32[t.usedPtr];if(e>t.pageSize/2||e>t.pageSize-r){var o=_nbind.typeNameTbl.NBind.proto;return o.lalloc(e)}else return HEAPU32[t.usedPtr]=r+e,t.rootPtr+r},t.lreset=function(e,r){var o=HEAPU32[t.pagePtr];if(o){var a=_nbind.typeNameTbl.NBind.proto;a.lreset(e,r)}else HEAPU32[t.usedPtr]=e},t}();_nbind.Pool=Pool;function constructType(t,e){var r=t==10240?_nbind.makeTypeNameTbl[e.name]||_nbind.BindType:_nbind.makeTypeKindTbl[t],o=new r(e);return typeIdTbl[e.id]=o,_nbind.typeNameTbl[e.name]=o,o}_nbind.constructType=constructType;function getType(t){return typeIdTbl[t]}_nbind.getType=getType;function queryType(t){var e=HEAPU8[t],r=_nbind.structureList[e][1];t/=4,r<0&&(++t,r=HEAPU32[t]+1);var o=Array.prototype.slice.call(HEAPU32.subarray(t+1,t+1+r));return e==9&&(o=[o[0],o.slice(1)]),{paramList:o,placeholderFlag:e}}_nbind.queryType=queryType;function getTypes(t,e){return t.map(function(r){return typeof r=="number"?_nbind.getComplexType(r,constructType,getType,queryType,e):_nbind.typeNameTbl[r]})}_nbind.getTypes=getTypes;function readTypeIdList(t,e){return Array.prototype.slice.call(HEAPU32,t/4,t/4+e)}_nbind.readTypeIdList=readTypeIdList;function readAsciiString(t){for(var e=t;HEAPU8[e++];);return String.fromCharCode.apply("",HEAPU8.subarray(t,e-1))}_nbind.readAsciiString=readAsciiString;function readPolicyList(t){var e={};if(t)for(;;){var r=HEAPU32[t/4];if(!r)break;e[readAsciiString(r)]=!0,t+=4}return e}_nbind.readPolicyList=readPolicyList;function getDynCall(t,e){var r={float32_t:"d",float64_t:"d",int64_t:"d",uint64_t:"d",void:"v"},o=t.map(function(n){return r[n.name]||"i"}).join(""),a=Module["dynCall_"+o];if(!a)throw new Error("dynCall_"+o+" not found for "+e+"("+t.map(function(n){return n.name}).join(", ")+")");return a}_nbind.getDynCall=getDynCall;function addMethod(t,e,r,o){var a=t[e];t.hasOwnProperty(e)&&a?((a.arity||a.arity===0)&&(a=_nbind.makeOverloader(a,a.arity),t[e]=a),a.addMethod(r,o)):(r.arity=o,t[e]=r)}_nbind.addMethod=addMethod;function throwError(t){throw new Error(t)}_nbind.throwError=throwError,_nbind.bigEndian=!1,_a=_typeModule(_typeModule),_nbind.Type=_a.Type,_nbind.makeType=_a.makeType,_nbind.getComplexType=_a.getComplexType,_nbind.structureList=_a.structureList;var BindType=function(t){__extends(e,t);function e(){var r=t!==null&&t.apply(this,arguments)||this;return r.heap=HEAPU32,r.ptrSize=4,r}return e.prototype.needsWireRead=function(r){return!!this.wireRead||!!this.makeWireRead},e.prototype.needsWireWrite=function(r){return!!this.wireWrite||!!this.makeWireWrite},e}(_nbind.Type);_nbind.BindType=BindType;var PrimitiveType=function(t){__extends(e,t);function e(r){var o=t.call(this,r)||this,a=r.flags&32?{32:HEAPF32,64:HEAPF64}:r.flags&8?{8:HEAPU8,16:HEAPU16,32:HEAPU32}:{8:HEAP8,16:HEAP16,32:HEAP32};return o.heap=a[r.ptrSize*8],o.ptrSize=r.ptrSize,o}return e.prototype.needsWireWrite=function(r){return!!r&&!!r.Strict},e.prototype.makeWireWrite=function(r,o){return o&&o.Strict&&function(a){if(typeof a=="number")return a;throw new Error("Type mismatch")}},e}(BindType);_nbind.PrimitiveType=PrimitiveType;function pushCString(t,e){if(t==null){if(e&&e.Nullable)return 0;throw new Error("Type mismatch")}if(e&&e.Strict){if(typeof t!="string")throw new Error("Type mismatch")}else t=t.toString();var r=Module.lengthBytesUTF8(t)+1,o=_nbind.Pool.lalloc(r);return Module.stringToUTF8Array(t,HEAPU8,o,r),o}_nbind.pushCString=pushCString;function popCString(t){return t===0?null:Module.Pointer_stringify(t)}_nbind.popCString=popCString;var CStringType=function(t){__extends(e,t);function e(){var r=t!==null&&t.apply(this,arguments)||this;return r.wireRead=popCString,r.wireWrite=pushCString,r.readResources=[_nbind.resources.pool],r.writeResources=[_nbind.resources.pool],r}return e.prototype.makeWireWrite=function(r,o){return function(a){return pushCString(a,o)}},e}(BindType);_nbind.CStringType=CStringType;var BooleanType=function(t){__extends(e,t);function e(){var r=t!==null&&t.apply(this,arguments)||this;return r.wireRead=function(o){return!!o},r}return e.prototype.needsWireWrite=function(r){return!!r&&!!r.Strict},e.prototype.makeWireRead=function(r){return"!!("+r+")"},e.prototype.makeWireWrite=function(r,o){return o&&o.Strict&&function(a){if(typeof a=="boolean")return a;throw new Error("Type mismatch")}||r},e}(BindType);_nbind.BooleanType=BooleanType;var Wrapper=function(){function t(){}return t.prototype.persist=function(){this.__nbindState|=1},t}();_nbind.Wrapper=Wrapper;function makeBound(t,e){var r=function(o){__extends(a,o);function a(n,u,A,p){var h=o.call(this)||this;if(!(h instanceof a))return new(Function.prototype.bind.apply(a,Array.prototype.concat.apply([null],arguments)));var E=u,I=A,v=p;if(n!==_nbind.ptrMarker){var b=h.__nbindConstructor.apply(h,arguments);E=4608,v=HEAPU32[b/4],I=HEAPU32[b/4+1]}var C={configurable:!0,enumerable:!1,value:null,writable:!1},T={__nbindFlags:E,__nbindPtr:I};v&&(T.__nbindShared=v,_nbind.mark(h));for(var L=0,U=Object.keys(T);L<U.length;L++){var J=U[L];C.value=T[J],Object.defineProperty(h,J,C)}return _defineHidden(0)(h,"__nbindState"),h}return a.prototype.free=function(){e.destroy.call(this,this.__nbindShared,this.__nbindFlags),this.__nbindState|=2,disableMember(this,"__nbindShared"),disableMember(this,"__nbindPtr")},a}(Wrapper);return __decorate([_defineHidden()],r.prototype,"__nbindConstructor",void 0),__decorate([_defineHidden()],r.prototype,"__nbindValueConstructor",void 0),__decorate([_defineHidden(t)],r.prototype,"__nbindPolicies",void 0),r}_nbind.makeBound=makeBound;function disableMember(t,e){function r(){throw new Error("Accessing deleted object")}Object.defineProperty(t,e,{configurable:!1,enumerable:!1,get:r,set:r})}_nbind.ptrMarker={};var BindClass=function(t){__extends(e,t);function e(r){var o=t.call(this,r)||this;return o.wireRead=function(a){return _nbind.popValue(a,o.ptrType)},o.wireWrite=function(a){return pushPointer(a,o.ptrType,!0)},o.pendingSuperCount=0,o.ready=!1,o.methodTbl={},r.paramList?(o.classType=r.paramList[0].classType,o.proto=o.classType.proto):o.classType=o,o}return e.prototype.makeBound=function(r){var o=_nbind.makeBound(r,this);return this.proto=o,this.ptrType.proto=o,o},e.prototype.addMethod=function(r){var o=this.methodTbl[r.name]||[];o.push(r),this.methodTbl[r.name]=o},e.prototype.registerMethods=function(r,o){for(var a,n=0,u=Object.keys(r.methodTbl);n<u.length;n++)for(var A=u[n],p=r.methodTbl[A],h=0,E=p;h<E.length;h++){var I=E[h],v=void 0,b=void 0;if(v=this.proto.prototype,!(o&&I.signatureType!=1))switch(I.signatureType){case 1:v=this.proto;case 5:b=_nbind.makeCaller(I),_nbind.addMethod(v,I.name,b,I.typeList.length-1);break;case 4:a=_nbind.makeMethodCaller(r.ptrType,I);break;case 3:Object.defineProperty(v,I.name,{configurable:!0,enumerable:!1,get:_nbind.makeMethodCaller(r.ptrType,I),set:a});break;case 2:b=_nbind.makeMethodCaller(r.ptrType,I),_nbind.addMethod(v,I.name,b,I.typeList.length-1);break;default:break}}},e.prototype.registerSuperMethods=function(r,o,a){if(!a[r.name]){a[r.name]=!0;for(var n=0,u,A=0,p=r.superIdList||[];A<p.length;A++){var h=p[A],E=_nbind.getType(h);n++<o||o<0?u=-1:u=0,this.registerSuperMethods(E,u,a)}this.registerMethods(r,o<0)}},e.prototype.finish=function(){if(this.ready)return this;this.ready=!0,this.superList=(this.superIdList||[]).map(function(a){return _nbind.getType(a).finish()});var r=this.proto;if(this.superList.length){var o=function(){this.constructor=r};o.prototype=this.superList[0].proto.prototype,r.prototype=new o}return r!=Module&&(r.prototype.__nbindType=this),this.registerSuperMethods(this,1,{}),this},e.prototype.upcastStep=function(r,o){if(r==this)return o;for(var a=0;a<this.superList.length;++a){var n=this.superList[a].upcastStep(r,_nbind.callUpcast(this.upcastList[a],o));if(n)return n}return 0},e}(_nbind.BindType);BindClass.list=[],_nbind.BindClass=BindClass;function popPointer(t,e){return t?new e.proto(_nbind.ptrMarker,e.flags,t):null}_nbind.popPointer=popPointer;function pushPointer(t,e,r){if(!(t instanceof _nbind.Wrapper)){if(r)return _nbind.pushValue(t);throw new Error("Type mismatch")}var o=t.__nbindPtr,a=t.__nbindType.classType,n=e.classType;if(t instanceof e.proto)for(;a!=n;)o=_nbind.callUpcast(a.upcastList[0],o),a=a.superList[0];else if(o=a.upcastStep(n,o),!o)throw new Error("Type mismatch");return o}_nbind.pushPointer=pushPointer;function pushMutablePointer(t,e){var r=pushPointer(t,e);if(t.__nbindFlags&1)throw new Error("Passing a const value as a non-const argument");return r}var BindClassPtr=function(t){__extends(e,t);function e(r){var o=t.call(this,r)||this;o.classType=r.paramList[0].classType,o.proto=o.classType.proto;var a=r.flags&1,n=(o.flags&896)==256&&r.flags&2,u=a?pushPointer:pushMutablePointer,A=n?_nbind.popValue:popPointer;return o.makeWireWrite=function(p,h){return h.Nullable?function(E){return E?u(E,o):0}:function(E){return u(E,o)}},o.wireRead=function(p){return A(p,o)},o.wireWrite=function(p){return u(p,o)},o}return e}(_nbind.BindType);_nbind.BindClassPtr=BindClassPtr;function popShared(t,e){var r=HEAPU32[t/4],o=HEAPU32[t/4+1];return o?new e.proto(_nbind.ptrMarker,e.flags,o,r):null}_nbind.popShared=popShared;function pushShared(t,e){if(!(t instanceof e.proto))throw new Error("Type mismatch");return t.__nbindShared}function pushMutableShared(t,e){if(!(t instanceof e.proto))throw new Error("Type mismatch");if(t.__nbindFlags&1)throw new Error("Passing a const value as a non-const argument");return t.__nbindShared}var SharedClassPtr=function(t){__extends(e,t);function e(r){var o=t.call(this,r)||this;o.readResources=[_nbind.resources.pool],o.classType=r.paramList[0].classType,o.proto=o.classType.proto;var a=r.flags&1,n=a?pushShared:pushMutableShared;return o.wireRead=function(u){return popShared(u,o)},o.wireWrite=function(u){return n(u,o)},o}return e}(_nbind.BindType);_nbind.SharedClassPtr=SharedClassPtr,_nbind.externalList=[0];var firstFreeExternal=0,External=function(){function t(e){this.refCount=1,this.data=e}return t.prototype.register=function(){var e=firstFreeExternal;return e?firstFreeExternal=_nbind.externalList[e]:e=_nbind.externalList.length,_nbind.externalList[e]=this,e},t.prototype.reference=function(){++this.refCount},t.prototype.dereference=function(e){--this.refCount==0&&(this.free&&this.free(),_nbind.externalList[e]=firstFreeExternal,firstFreeExternal=e)},t}();_nbind.External=External;function popExternal(t){var e=_nbind.externalList[t];return e.dereference(t),e.data}function pushExternal(t){var e=new External(t);return e.reference(),e.register()}var ExternalType=function(t){__extends(e,t);function e(){var r=t!==null&&t.apply(this,arguments)||this;return r.wireRead=popExternal,r.wireWrite=pushExternal,r}return e}(_nbind.BindType);_nbind.ExternalType=ExternalType,_nbind.callbackSignatureList=[];var CallbackType=function(t){__extends(e,t);function e(){var r=t!==null&&t.apply(this,arguments)||this;return r.wireWrite=function(o){return typeof o!="function"&&_nbind.throwError("Type mismatch"),new _nbind.External(o).register()},r}return e}(_nbind.BindType);_nbind.CallbackType=CallbackType,_nbind.valueList=[0];var firstFreeValue=0;function pushValue(t){var e=firstFreeValue;return e?firstFreeValue=_nbind.valueList[e]:e=_nbind.valueList.length,_nbind.valueList[e]=t,e*2+1}_nbind.pushValue=pushValue;function popValue(t,e){if(t||_nbind.throwError("Value type JavaScript class is missing or not registered"),t&1){t>>=1;var r=_nbind.valueList[t];return _nbind.valueList[t]=firstFreeValue,firstFreeValue=t,r}else{if(e)return _nbind.popShared(t,e);throw new Error("Invalid value slot "+t)}}_nbind.popValue=popValue;var valueBase=18446744073709552e3;function push64(t){return typeof t=="number"?t:pushValue(t)*4096+valueBase}function pop64(t){return t<valueBase?t:popValue((t-valueBase)/4096)}var CreateValueType=function(t){__extends(e,t);function e(){return t!==null&&t.apply(this,arguments)||this}return e.prototype.makeWireWrite=function(r){return"(_nbind.pushValue(new "+r+"))"},e}(_nbind.BindType);_nbind.CreateValueType=CreateValueType;var Int64Type=function(t){__extends(e,t);function e(){var r=t!==null&&t.apply(this,arguments)||this;return r.wireWrite=push64,r.wireRead=pop64,r}return e}(_nbind.BindType);_nbind.Int64Type=Int64Type;function pushArray(t,e){if(!t)return 0;var r=t.length;if((e.size||e.size===0)&&r<e.size)throw new Error("Type mismatch");var o=e.memberType.ptrSize,a=_nbind.Pool.lalloc(4+r*o);HEAPU32[a/4]=r;var n=e.memberType.heap,u=(a+4)/o,A=e.memberType.wireWrite,p=0;if(A)for(;p<r;)n[u++]=A(t[p++]);else for(;p<r;)n[u++]=t[p++];return a}_nbind.pushArray=pushArray;function popArray(t,e){if(t===0)return null;var r=HEAPU32[t/4],o=new Array(r),a=e.memberType.heap;t=(t+4)/e.memberType.ptrSize;var n=e.memberType.wireRead,u=0;if(n)for(;u<r;)o[u++]=n(a[t++]);else for(;u<r;)o[u++]=a[t++];return o}_nbind.popArray=popArray;var ArrayType=function(t){__extends(e,t);function e(r){var o=t.call(this,r)||this;return o.wireRead=function(a){return popArray(a,o)},o.wireWrite=function(a){return pushArray(a,o)},o.readResources=[_nbind.resources.pool],o.writeResources=[_nbind.resources.pool],o.memberType=r.paramList[0],r.paramList[1]&&(o.size=r.paramList[1]),o}return e}(_nbind.BindType);_nbind.ArrayType=ArrayType;function pushString(t,e){if(t==null)if(e&&e.Nullable)t="";else throw new Error("Type mismatch");if(e&&e.Strict){if(typeof t!="string")throw new Error("Type mismatch")}else t=t.toString();var r=Module.lengthBytesUTF8(t),o=_nbind.Pool.lalloc(4+r+1);return HEAPU32[o/4]=r,Module.stringToUTF8Array(t,HEAPU8,o+4,r+1),o}_nbind.pushString=pushString;function popString(t){if(t===0)return null;var e=HEAPU32[t/4];return Module.Pointer_stringify(t+4,e)}_nbind.popString=popString;var StringType=function(t){__extends(e,t);function e(){var r=t!==null&&t.apply(this,arguments)||this;return r.wireRead=popString,r.wireWrite=pushString,r.readResources=[_nbind.resources.pool],r.writeResources=[_nbind.resources.pool],r}return e.prototype.makeWireWrite=function(r,o){return function(a){return pushString(a,o)}},e}(_nbind.BindType);_nbind.StringType=StringType;function makeArgList(t){return Array.apply(null,Array(t)).map(function(e,r){return"a"+(r+1)})}function anyNeedsWireWrite(t,e){return t.reduce(function(r,o){return r||o.needsWireWrite(e)},!1)}function anyNeedsWireRead(t,e){return t.reduce(function(r,o){return r||!!o.needsWireRead(e)},!1)}function makeWireRead(t,e,r,o){var a=t.length;return r.makeWireRead?r.makeWireRead(o,t,a):r.wireRead?(t[a]=r.wireRead,"(convertParamList["+a+"]("+o+"))"):o}function makeWireWrite(t,e,r,o){var a,n=t.length;return r.makeWireWrite?a=r.makeWireWrite(o,e,t,n):a=r.wireWrite,a?typeof a=="string"?a:(t[n]=a,"(convertParamList["+n+"]("+o+"))"):o}function buildCallerFunction(dynCall,ptrType,ptr,num,policyTbl,needsWireWrite,prefix,returnType,argTypeList,mask,err){var argList=makeArgList(argTypeList.length),convertParamList=[],callExpression=makeWireRead(convertParamList,policyTbl,returnType,"dynCall("+[prefix].concat(argList.map(function(t,e){return makeWireWrite(convertParamList,policyTbl,argTypeList[e],t)})).join(",")+")"),resourceSet=_nbind.listResources([returnType],argTypeList),sourceCode="function("+argList.join(",")+"){"+(mask?"this.__nbindFlags&mask&&err();":"")+resourceSet.makeOpen()+"var r="+callExpression+";"+resourceSet.makeClose()+"return r;}";return eval("("+sourceCode+")")}function buildJSCallerFunction(returnType,argTypeList){var argList=makeArgList(argTypeList.length),convertParamList=[],callExpression=makeWireWrite(convertParamList,null,returnType,"_nbind.externalList[num].data("+argList.map(function(t,e){return makeWireRead(convertParamList,null,argTypeList[e],t)}).join(",")+")"),resourceSet=_nbind.listResources(argTypeList,[returnType]);resourceSet.remove(_nbind.resources.pool);var sourceCode="function("+["dummy","num"].concat(argList).join(",")+"){"+resourceSet.makeOpen()+"var r="+callExpression+";"+resourceSet.makeClose()+"return r;}";return eval("("+sourceCode+")")}_nbind.buildJSCallerFunction=buildJSCallerFunction;function makeJSCaller(t){var e=t.length-1,r=_nbind.getTypes(t,"callback"),o=r[0],a=r.slice(1),n=anyNeedsWireRead(a,null),u=o.needsWireWrite(null);if(!u&&!n)switch(e){case 0:return function(A,p){return _nbind.externalList[p].data()};case 1:return function(A,p,h){return _nbind.externalList[p].data(h)};case 2:return function(A,p,h,E){return _nbind.externalList[p].data(h,E)};case 3:return function(A,p,h,E,I){return _nbind.externalList[p].data(h,E,I)};default:break}return buildJSCallerFunction(o,a)}_nbind.makeJSCaller=makeJSCaller;function makeMethodCaller(t,e){var r=e.typeList.length-1,o=e.typeList.slice(0);o.splice(1,0,"uint32_t",e.boundID);var a=_nbind.getTypes(o,e.title),n=a[0],u=a.slice(3),A=n.needsWireRead(e.policyTbl),p=anyNeedsWireWrite(u,e.policyTbl),h=e.ptr,E=e.num,I=_nbind.getDynCall(a,e.title),v=~e.flags&1;function b(){throw new Error("Calling a non-const method on a const object")}if(!A&&!p)switch(r){case 0:return function(){return this.__nbindFlags&v?b():I(h,E,_nbind.pushPointer(this,t))};case 1:return function(C){return this.__nbindFlags&v?b():I(h,E,_nbind.pushPointer(this,t),C)};case 2:return function(C,T){return this.__nbindFlags&v?b():I(h,E,_nbind.pushPointer(this,t),C,T)};case 3:return function(C,T,L){return this.__nbindFlags&v?b():I(h,E,_nbind.pushPointer(this,t),C,T,L)};default:break}return buildCallerFunction(I,t,h,E,e.policyTbl,p,"ptr,num,pushPointer(this,ptrType)",n,u,v,b)}_nbind.makeMethodCaller=makeMethodCaller;function makeCaller(t){var e=t.typeList.length-1,r=_nbind.getTypes(t.typeList,t.title),o=r[0],a=r.slice(1),n=o.needsWireRead(t.policyTbl),u=anyNeedsWireWrite(a,t.policyTbl),A=t.direct,p=t.ptr;if(t.direct&&!n&&!u){var h=_nbind.getDynCall(r,t.title);switch(e){case 0:return function(){return h(A)};case 1:return function(b){return h(A,b)};case 2:return function(b,C){return h(A,b,C)};case 3:return function(b,C,T){return h(A,b,C,T)};default:break}p=0}var E;if(p){var I=t.typeList.slice(0);I.splice(1,0,"uint32_t"),r=_nbind.getTypes(I,t.title),E="ptr,num"}else p=A,E="ptr";var v=_nbind.getDynCall(r,t.title);return buildCallerFunction(v,null,p,t.num,t.policyTbl,u,E,o,a)}_nbind.makeCaller=makeCaller;function makeOverloader(t,e){var r=[];function o(){return r[arguments.length].apply(this,arguments)}return o.addMethod=function(a,n){r[n]=a},o.addMethod(t,e),o}_nbind.makeOverloader=makeOverloader;var Resource=function(){function t(e,r){var o=this;this.makeOpen=function(){return Object.keys(o.openTbl).join("")},this.makeClose=function(){return Object.keys(o.closeTbl).join("")},this.openTbl={},this.closeTbl={},e&&(this.openTbl[e]=!0),r&&(this.closeTbl[r]=!0)}return t.prototype.add=function(e){for(var r=0,o=Object.keys(e.openTbl);r<o.length;r++){var a=o[r];this.openTbl[a]=!0}for(var n=0,u=Object.keys(e.closeTbl);n<u.length;n++){var a=u[n];this.closeTbl[a]=!0}},t.prototype.remove=function(e){for(var r=0,o=Object.keys(e.openTbl);r<o.length;r++){var a=o[r];delete this.openTbl[a]}for(var n=0,u=Object.keys(e.closeTbl);n<u.length;n++){var a=u[n];delete this.closeTbl[a]}},t}();_nbind.Resource=Resource;function listResources(t,e){for(var r=new Resource,o=0,a=t;o<a.length;o++)for(var n=a[o],u=0,A=n.readResources||[];u<A.length;u++){var p=A[u];r.add(p)}for(var h=0,E=e;h<E.length;h++)for(var n=E[h],I=0,v=n.writeResources||[];I<v.length;I++){var p=v[I];r.add(p)}return r}_nbind.listResources=listResources,_nbind.resources={pool:new Resource("var used=HEAPU32[_nbind.Pool.usedPtr],page=HEAPU32[_nbind.Pool.pagePtr];","_nbind.Pool.lreset(used,page);")};var ExternalBuffer=function(t){__extends(e,t);function e(r,o){var a=t.call(this,r)||this;return a.ptr=o,a}return e.prototype.free=function(){_free(this.ptr)},e}(_nbind.External);function getBuffer(t){return t instanceof ArrayBuffer?new Uint8Array(t):t instanceof DataView?new Uint8Array(t.buffer,t.byteOffset,t.byteLength):t}function pushBuffer(t,e){if(t==null&&e&&e.Nullable&&(t=[]),typeof t!="object")throw new Error("Type mismatch");var r=t,o=r.byteLength||r.length;if(!o&&o!==0&&r.byteLength!==0)throw new Error("Type mismatch");var a=_nbind.Pool.lalloc(8),n=_malloc(o),u=a/4;return HEAPU32[u++]=o,HEAPU32[u++]=n,HEAPU32[u++]=new ExternalBuffer(t,n).register(),HEAPU8.set(getBuffer(t),n),a}var BufferType=function(t){__extends(e,t);function e(){var r=t!==null&&t.apply(this,arguments)||this;return r.wireWrite=pushBuffer,r.readResources=[_nbind.resources.pool],r.writeResources=[_nbind.resources.pool],r}return e.prototype.makeWireWrite=function(r,o){return function(a){return pushBuffer(a,o)}},e}(_nbind.BindType);_nbind.BufferType=BufferType;function commitBuffer(t,e,r){var o=_nbind.externalList[t].data,a=Buffer;if(typeof Buffer!="function"&&(a=function(){}),!(o instanceof Array)){var n=HEAPU8.subarray(e,e+r);if(o instanceof a){var u=void 0;typeof Buffer.from=="function"&&Buffer.from.length>=3?u=Buffer.from(n):u=new Buffer(n),u.copy(o)}else getBuffer(o).set(n)}}_nbind.commitBuffer=commitBuffer;var dirtyList=[],gcTimer=0;function sweep(){for(var t=0,e=dirtyList;t<e.length;t++){var r=e[t];r.__nbindState&3||r.free()}dirtyList=[],gcTimer=0}_nbind.mark=function(t){};function toggleLightGC(t){t?_nbind.mark=function(e){dirtyList.push(e),gcTimer||(gcTimer=setTimeout(sweep,0))}:_nbind.mark=function(e){}}_nbind.toggleLightGC=toggleLightGC}(_nbind),Module.requestFullScreen=function t(e,r,o){Module.printErr("Module.requestFullScreen is deprecated. Please call Module.requestFullscreen instead."),Module.requestFullScreen=Module.requestFullscreen,Browser.requestFullScreen(e,r,o)},Module.requestFullscreen=function t(e,r,o){Browser.requestFullscreen(e,r,o)},Module.requestAnimationFrame=function t(e){Browser.requestAnimationFrame(e)},Module.setCanvasSize=function t(e,r,o){Browser.setCanvasSize(e,r,o)},Module.pauseMainLoop=function t(){Browser.mainLoop.pause()},Module.resumeMainLoop=function t(){Browser.mainLoop.resume()},Module.getUserMedia=function t(){Browser.getUserMedia()},Module.createContext=function t(e,r,o,a){return Browser.createContext(e,r,o,a)},ENVIRONMENT_IS_NODE?_emscripten_get_now=function(){var e=process.hrtime();return e[0]*1e3+e[1]/1e6}:typeof dateNow<"u"?_emscripten_get_now=dateNow:typeof self=="object"&&self.performance&&typeof self.performance.now=="function"?_emscripten_get_now=function(){return self.performance.now()}:typeof performance=="object"&&typeof performance.now=="function"?_emscripten_get_now=function(){return performance.now()}:_emscripten_get_now=Date.now,__ATEXIT__.push(function(){var t=Module._fflush;t&&t(0);var e=___syscall146.printChar;if(!!e){var r=___syscall146.buffers;r[1].length&&e(1,10),r[2].length&&e(2,10)}}),DYNAMICTOP_PTR=allocate(1,"i32",ALLOC_STATIC),STACK_BASE=STACKTOP=Runtime.alignMemory(STATICTOP),STACK_MAX=STACK_BASE+TOTAL_STACK,DYNAMIC_BASE=Runtime.alignMemory(STACK_MAX),HEAP32[DYNAMICTOP_PTR>>2]=DYNAMIC_BASE,staticSealed=!0;function invoke_viiiii(t,e,r,o,a,n){try{Module.dynCall_viiiii(t,e,r,o,a,n)}catch(u){if(typeof u!="number"&&u!=="longjmp")throw u;Module.setThrew(1,0)}}function invoke_vif(t,e,r){try{Module.dynCall_vif(t,e,r)}catch(o){if(typeof o!="number"&&o!=="longjmp")throw o;Module.setThrew(1,0)}}function invoke_vid(t,e,r){try{Module.dynCall_vid(t,e,r)}catch(o){if(typeof o!="number"&&o!=="longjmp")throw o;Module.setThrew(1,0)}}function invoke_fiff(t,e,r,o){try{return Module.dynCall_fiff(t,e,r,o)}catch(a){if(typeof a!="number"&&a!=="longjmp")throw a;Module.setThrew(1,0)}}function invoke_vi(t,e){try{Module.dynCall_vi(t,e)}catch(r){if(typeof r!="number"&&r!=="longjmp")throw r;Module.setThrew(1,0)}}function invoke_vii(t,e,r){try{Module.dynCall_vii(t,e,r)}catch(o){if(typeof o!="number"&&o!=="longjmp")throw o;Module.setThrew(1,0)}}function invoke_ii(t,e){try{return Module.dynCall_ii(t,e)}catch(r){if(typeof r!="number"&&r!=="longjmp")throw r;Module.setThrew(1,0)}}function invoke_viddi(t,e,r,o,a){try{Module.dynCall_viddi(t,e,r,o,a)}catch(n){if(typeof n!="number"&&n!=="longjmp")throw n;Module.setThrew(1,0)}}function invoke_vidd(t,e,r,o){try{Module.dynCall_vidd(t,e,r,o)}catch(a){if(typeof a!="number"&&a!=="longjmp")throw a;Module.setThrew(1,0)}}function invoke_iiii(t,e,r,o){try{return Module.dynCall_iiii(t,e,r,o)}catch(a){if(typeof a!="number"&&a!=="longjmp")throw a;Module.setThrew(1,0)}}function invoke_diii(t,e,r,o){try{return Module.dynCall_diii(t,e,r,o)}catch(a){if(typeof a!="number"&&a!=="longjmp")throw a;Module.setThrew(1,0)}}function invoke_di(t,e){try{return Module.dynCall_di(t,e)}catch(r){if(typeof r!="number"&&r!=="longjmp")throw r;Module.setThrew(1,0)}}function invoke_iid(t,e,r){try{return Module.dynCall_iid(t,e,r)}catch(o){if(typeof o!="number"&&o!=="longjmp")throw o;Module.setThrew(1,0)}}function invoke_iii(t,e,r){try{return Module.dynCall_iii(t,e,r)}catch(o){if(typeof o!="number"&&o!=="longjmp")throw o;Module.setThrew(1,0)}}function invoke_viiddi(t,e,r,o,a,n){try{Module.dynCall_viiddi(t,e,r,o,a,n)}catch(u){if(typeof u!="number"&&u!=="longjmp")throw u;Module.setThrew(1,0)}}function invoke_viiiiii(t,e,r,o,a,n,u){try{Module.dynCall_viiiiii(t,e,r,o,a,n,u)}catch(A){if(typeof A!="number"&&A!=="longjmp")throw A;Module.setThrew(1,0)}}function invoke_dii(t,e,r){try{return Module.dynCall_dii(t,e,r)}catch(o){if(typeof o!="number"&&o!=="longjmp")throw o;Module.setThrew(1,0)}}function invoke_i(t){try{return Module.dynCall_i(t)}catch(e){if(typeof e!="number"&&e!=="longjmp")throw e;Module.setThrew(1,0)}}function invoke_iiiiii(t,e,r,o,a,n){try{return Module.dynCall_iiiiii(t,e,r,o,a,n)}catch(u){if(typeof u!="number"&&u!=="longjmp")throw u;Module.setThrew(1,0)}}function invoke_viiid(t,e,r,o,a){try{Module.dynCall_viiid(t,e,r,o,a)}catch(n){if(typeof n!="number"&&n!=="longjmp")throw n;Module.setThrew(1,0)}}function invoke_viififi(t,e,r,o,a,n,u){try{Module.dynCall_viififi(t,e,r,o,a,n,u)}catch(A){if(typeof A!="number"&&A!=="longjmp")throw A;Module.setThrew(1,0)}}function invoke_viii(t,e,r,o){try{Module.dynCall_viii(t,e,r,o)}catch(a){if(typeof a!="number"&&a!=="longjmp")throw a;Module.setThrew(1,0)}}function invoke_v(t){try{Module.dynCall_v(t)}catch(e){if(typeof e!="number"&&e!=="longjmp")throw e;Module.setThrew(1,0)}}function invoke_viid(t,e,r,o){try{Module.dynCall_viid(t,e,r,o)}catch(a){if(typeof a!="number"&&a!=="longjmp")throw a;Module.setThrew(1,0)}}function invoke_idd(t,e,r){try{return Module.dynCall_idd(t,e,r)}catch(o){if(typeof o!="number"&&o!=="longjmp")throw o;Module.setThrew(1,0)}}function invoke_viiii(t,e,r,o,a){try{Module.dynCall_viiii(t,e,r,o,a)}catch(n){if(typeof n!="number"&&n!=="longjmp")throw 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Ze=y(0);function lo(s){s=s|0;var l=0;return l=C,C=C+s|0,C=C+15&-16,l|0}function gc(){return C|0}function pu(s){s=s|0,C=s}function ji(s,l){s=s|0,l=l|0,C=s,T=l}function hu(s,l){s=s|0,l=l|0,J||(J=s,te=l)}function xA(s){s=s|0,De=s}function Ua(){return De|0}function dc(){var s=0,l=0;Dr(8104,8,400)|0,Dr(8504,408,540)|0,s=9044,l=s+44|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));o[9088]=0,o[9089]=1,n[2273]=0,n[2274]=948,n[2275]=948,tr(17,8104,U|0)|0}function hs(s){s=s|0,ft(s+948|0)}function _t(s){return s=y(s),((Du(s)|0)&2147483647)>>>0>2139095040|0}function Fn(s,l,c){s=s|0,l=l|0,c=c|0;e:do if(n[s+(l<<3)+4>>2]|0)s=s+(l<<3)|0;else{if((l|2|0)==3&&n[s+60>>2]|0){s=s+56|0;break}switch(l|0){case 0:case 2:case 4:case 5:{if(n[s+52>>2]|0){s=s+48|0;break e}break}default:}if(n[s+68>>2]|0){s=s+64|0;break}else{s=(l|1|0)==5?948:c;break}}while(0);return s|0}function Ci(s){s=s|0;var l=0;return l=pD(1e3)|0,oa(s,(l|0)!=0,2456),n[2276]=(n[2276]|0)+1,Dr(l|0,8104,1e3)|0,o[s+2>>0]|0&&(n[l+4>>2]=2,n[l+12>>2]=4),n[l+976>>2]=s,l|0}function oa(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;d=C,C=C+16|0,f=d,l||(n[f>>2]=c,yg(s,5,3197,f)),C=d}function co(){return Ci(956)|0}function Us(s){s=s|0;var l=0;return l=Vt(1e3)|0,aa(l,s),oa(n[s+976>>2]|0,1,2456),n[2276]=(n[2276]|0)+1,n[l+944>>2]=0,l|0}function aa(s,l){s=s|0,l=l|0;var c=0;Dr(s|0,l|0,948)|0,Fm(s+948|0,l+948|0),c=s+960|0,s=l+960|0,l=c+40|0;do n[c>>2]=n[s>>2],c=c+4|0,s=s+4|0;while((c|0)<(l|0))}function la(s){s=s|0;var l=0,c=0,f=0,d=0;if(l=s+944|0,c=n[l>>2]|0,c|0&&(Ho(c+948|0,s)|0,n[l>>2]=0),c=wi(s)|0,c|0){l=0;do n[(gs(s,l)|0)+944>>2]=0,l=l+1|0;while((l|0)!=(c|0))}c=s+948|0,f=n[c>>2]|0,d=s+952|0,l=n[d>>2]|0,(l|0)!=(f|0)&&(n[d>>2]=l+(~((l+-4-f|0)>>>2)<<2)),ds(c),hD(s),n[2276]=(n[2276]|0)+-1}function Ho(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0;f=n[s>>2]|0,k=s+4|0,c=n[k>>2]|0,m=c;e:do if((f|0)==(c|0))d=f,B=4;else for(s=f;;){if((n[s>>2]|0)==(l|0)){d=s,B=4;break e}if(s=s+4|0,(s|0)==(c|0)){s=0;break}}while(0);return(B|0)==4&&((d|0)!=(c|0)?(f=d+4|0,s=m-f|0,l=s>>2,l&&(Mw(d|0,f|0,s|0)|0,c=n[k>>2]|0),s=d+(l<<2)|0,(c|0)==(s|0)||(n[k>>2]=c+(~((c+-4-s|0)>>>2)<<2)),s=1):s=0),s|0}function wi(s){return s=s|0,(n[s+952>>2]|0)-(n[s+948>>2]|0)>>2|0}function gs(s,l){s=s|0,l=l|0;var c=0;return c=n[s+948>>2]|0,(n[s+952>>2]|0)-c>>2>>>0>l>>>0?s=n[c+(l<<2)>>2]|0:s=0,s|0}function ds(s){s=s|0;var l=0,c=0,f=0,d=0;f=C,C=C+32|0,l=f,d=n[s>>2]|0,c=(n[s+4>>2]|0)-d|0,((n[s+8>>2]|0)-d|0)>>>0>c>>>0&&(d=c>>2,wp(l,d,d,s+8|0),Ig(s,l),UA(l)),C=f}function ms(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0;O=wi(s)|0;do if(O|0){if((n[(gs(s,0)|0)+944>>2]|0)==(s|0)){if(!(Ho(s+948|0,l)|0))break;Dr(l+400|0,8504,540)|0,n[l+944>>2]=0,Le(s);break}B=n[(n[s+976>>2]|0)+12>>2]|0,k=s+948|0,Q=(B|0)==0,c=0,m=0;do f=n[(n[k>>2]|0)+(m<<2)>>2]|0,(f|0)==(l|0)?Le(s):(d=Us(f)|0,n[(n[k>>2]|0)+(c<<2)>>2]=d,n[d+944>>2]=s,Q||LT[B&15](f,d,s,c),c=c+1|0),m=m+1|0;while((m|0)!=(O|0));if(c>>>0<O>>>0){Q=s+948|0,k=s+952|0,B=c,c=n[k>>2]|0;do m=(n[Q>>2]|0)+(B<<2)|0,f=m+4|0,d=c-f|0,l=d>>2,l&&(Mw(m|0,f|0,d|0)|0,c=n[k>>2]|0),d=c,f=m+(l<<2)|0,(d|0)!=(f|0)&&(c=d+(~((d+-4-f|0)>>>2)<<2)|0,n[k>>2]=c),B=B+1|0;while((B|0)!=(O|0))}}while(0)}function _s(s){s=s|0;var l=0,c=0,f=0,d=0;Un(s,(wi(s)|0)==0,2491),Un(s,(n[s+944>>2]|0)==0,2545),l=s+948|0,c=n[l>>2]|0,f=s+952|0,d=n[f>>2]|0,(d|0)!=(c|0)&&(n[f>>2]=d+(~((d+-4-c|0)>>>2)<<2)),ds(l),l=s+976|0,c=n[l>>2]|0,Dr(s|0,8104,1e3)|0,o[c+2>>0]|0&&(n[s+4>>2]=2,n[s+12>>2]=4),n[l>>2]=c}function Un(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;d=C,C=C+16|0,f=d,l||(n[f>>2]=c,Ao(s,5,3197,f)),C=d}function Pn(){return n[2276]|0}function ys(){var s=0;return s=pD(20)|0,We((s|0)!=0,2592),n[2277]=(n[2277]|0)+1,n[s>>2]=n[239],n[s+4>>2]=n[240],n[s+8>>2]=n[241],n[s+12>>2]=n[242],n[s+16>>2]=n[243],s|0}function We(s,l){s=s|0,l=l|0;var c=0,f=0;f=C,C=C+16|0,c=f,s||(n[c>>2]=l,Ao(0,5,3197,c)),C=f}function tt(s){s=s|0,hD(s),n[2277]=(n[2277]|0)+-1}function It(s,l){s=s|0,l=l|0;var c=0;l?(Un(s,(wi(s)|0)==0,2629),c=1):(c=0,l=0),n[s+964>>2]=l,n[s+988>>2]=c}function nr(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,m=f+8|0,d=f+4|0,B=f,n[d>>2]=l,Un(s,(n[l+944>>2]|0)==0,2709),Un(s,(n[s+964>>2]|0)==0,2763),$(s),l=s+948|0,n[B>>2]=(n[l>>2]|0)+(c<<2),n[m>>2]=n[B>>2],me(l,m,d)|0,n[(n[d>>2]|0)+944>>2]=s,Le(s),C=f}function $(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0;if(c=wi(s)|0,c|0&&(n[(gs(s,0)|0)+944>>2]|0)!=(s|0)){f=n[(n[s+976>>2]|0)+12>>2]|0,d=s+948|0,m=(f|0)==0,l=0;do B=n[(n[d>>2]|0)+(l<<2)>>2]|0,k=Us(B)|0,n[(n[d>>2]|0)+(l<<2)>>2]=k,n[k+944>>2]=s,m||LT[f&15](B,k,s,l),l=l+1|0;while((l|0)!=(c|0))}}function me(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0,et=0,Xe=0;et=C,C=C+64|0,q=et+52|0,k=et+48|0,se=et+28|0,Ge=et+24|0,Oe=et+20|0,Fe=et,f=n[s>>2]|0,m=f,l=f+((n[l>>2]|0)-m>>2<<2)|0,f=s+4|0,d=n[f>>2]|0,B=s+8|0;do if(d>>>0<(n[B>>2]|0)>>>0){if((l|0)==(d|0)){n[l>>2]=n[c>>2],n[f>>2]=(n[f>>2]|0)+4;break}_A(s,l,d,l+4|0),l>>>0<=c>>>0&&(c=(n[f>>2]|0)>>>0>c>>>0?c+4|0:c),n[l>>2]=n[c>>2]}else{f=(d-m>>2)+1|0,d=N(s)|0,d>>>0<f>>>0&&zr(s),M=n[s>>2]|0,O=(n[B>>2]|0)-M|0,m=O>>1,wp(Fe,O>>2>>>0<d>>>1>>>0?m>>>0<f>>>0?f:m:d,l-M>>2,s+8|0),M=Fe+8|0,f=n[M>>2]|0,m=Fe+12|0,O=n[m>>2]|0,B=O,Q=f;do if((f|0)==(O|0)){if(O=Fe+4|0,f=n[O>>2]|0,Xe=n[Fe>>2]|0,d=Xe,f>>>0<=Xe>>>0){f=B-d>>1,f=(f|0)==0?1:f,wp(se,f,f>>>2,n[Fe+16>>2]|0),n[Ge>>2]=n[O>>2],n[Oe>>2]=n[M>>2],n[k>>2]=n[Ge>>2],n[q>>2]=n[Oe>>2],vw(se,k,q),f=n[Fe>>2]|0,n[Fe>>2]=n[se>>2],n[se>>2]=f,f=se+4|0,Xe=n[O>>2]|0,n[O>>2]=n[f>>2],n[f>>2]=Xe,f=se+8|0,Xe=n[M>>2]|0,n[M>>2]=n[f>>2],n[f>>2]=Xe,f=se+12|0,Xe=n[m>>2]|0,n[m>>2]=n[f>>2],n[f>>2]=Xe,UA(se),f=n[M>>2]|0;break}m=f,B=((m-d>>2)+1|0)/-2|0,k=f+(B<<2)|0,d=Q-m|0,m=d>>2,m&&(Mw(k|0,f|0,d|0)|0,f=n[O>>2]|0),Xe=k+(m<<2)|0,n[M>>2]=Xe,n[O>>2]=f+(B<<2),f=Xe}while(0);n[f>>2]=n[c>>2],n[M>>2]=(n[M>>2]|0)+4,l=Bg(s,Fe,l)|0,UA(Fe)}while(0);return C=et,l|0}function Le(s){s=s|0;var l=0;do{if(l=s+984|0,o[l>>0]|0)break;o[l>>0]=1,h[s+504>>2]=y(Ae),s=n[s+944>>2]|0}while((s|0)!=0)}function ft(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-4-f|0)>>>2)<<2)),gt(c))}function pt(s){return s=s|0,n[s+944>>2]|0}function Rt(s){s=s|0,Un(s,(n[s+964>>2]|0)!=0,2832),Le(s)}function er(s){return s=s|0,(o[s+984>>0]|0)!=0|0}function Zr(s,l){s=s|0,l=l|0,LUe(s,l,400)|0&&(Dr(s|0,l|0,400)|0,Le(s))}function qi(s){s=s|0;var l=Ze;return l=y(h[s+44>>2]),s=_t(l)|0,y(s?y(0):l)}function es(s){s=s|0;var l=Ze;return l=y(h[s+48>>2]),_t(l)|0&&(l=o[(n[s+976>>2]|0)+2>>0]|0?y(1):y(0)),y(l)}function xi(s,l){s=s|0,l=l|0,n[s+980>>2]=l}function jo(s){return s=s|0,n[s+980>>2]|0}function bA(s,l){s=s|0,l=l|0;var c=0;c=s+4|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function kA(s){return s=s|0,n[s+4>>2]|0}function up(s,l){s=s|0,l=l|0;var c=0;c=s+8|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function ng(s){return s=s|0,n[s+8>>2]|0}function gu(s,l){s=s|0,l=l|0;var c=0;c=s+12|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function ig(s){return s=s|0,n[s+12>>2]|0}function du(s,l){s=s|0,l=l|0;var c=0;c=s+16|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function uo(s){return s=s|0,n[s+16>>2]|0}function QA(s,l){s=s|0,l=l|0;var c=0;c=s+20|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function mc(s){return s=s|0,n[s+20>>2]|0}function ca(s,l){s=s|0,l=l|0;var c=0;c=s+24|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function sg(s){return s=s|0,n[s+24>>2]|0}function yc(s,l){s=s|0,l=l|0;var c=0;c=s+28|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function Pm(s){return s=s|0,n[s+28>>2]|0}function og(s,l){s=s|0,l=l|0;var c=0;c=s+32|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function $n(s){return s=s|0,n[s+32>>2]|0}function Ap(s,l){s=s|0,l=l|0;var c=0;c=s+36|0,(n[c>>2]|0)!=(l|0)&&(n[c>>2]=l,Le(s))}function ag(s){return s=s|0,n[s+36>>2]|0}function FA(s,l){s=s|0,l=y(l);var c=0;c=s+40|0,y(h[c>>2])!=l&&(h[c>>2]=l,Le(s))}function Hs(s,l){s=s|0,l=y(l);var c=0;c=s+44|0,y(h[c>>2])!=l&&(h[c>>2]=l,Le(s))}function mu(s,l){s=s|0,l=y(l);var c=0;c=s+48|0,y(h[c>>2])!=l&&(h[c>>2]=l,Le(s))}function Ha(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+52|0,d=s+56|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function Gi(s,l){s=s|0,l=y(l);var c=0,f=0;f=s+52|0,c=s+56|0,y(h[f>>2])==l&&(n[c>>2]|0)==2||(h[f>>2]=l,f=_t(l)|0,n[c>>2]=f?3:2,Le(s))}function ua(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+52|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function yu(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=(m^1)&1,d=s+132+(l<<3)|0,l=s+132+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function Es(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=m?0:2,d=s+132+(l<<3)|0,l=s+132+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function Ec(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=l+132+(c<<3)|0,l=n[f+4>>2]|0,c=s,n[c>>2]=n[f>>2],n[c+4>>2]=l}function Cc(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=(m^1)&1,d=s+60+(l<<3)|0,l=s+60+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function G(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=m?0:2,d=s+60+(l<<3)|0,l=s+60+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function Dt(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=l+60+(c<<3)|0,l=n[f+4>>2]|0,c=s,n[c>>2]=n[f>>2],n[c+4>>2]=l}function wl(s,l){s=s|0,l=l|0;var c=0;c=s+60+(l<<3)+4|0,(n[c>>2]|0)!=3&&(h[s+60+(l<<3)>>2]=y(Ae),n[c>>2]=3,Le(s))}function bi(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=(m^1)&1,d=s+204+(l<<3)|0,l=s+204+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function wc(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=m?0:2,d=s+204+(l<<3)|0,l=s+204+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function ct(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=l+204+(c<<3)|0,l=n[f+4>>2]|0,c=s,n[c>>2]=n[f>>2],n[c+4>>2]=l}function Eu(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0,m=0;m=_t(c)|0,f=(m^1)&1,d=s+276+(l<<3)|0,l=s+276+(l<<3)+4|0,m|y(h[d>>2])==c&&(n[l>>2]|0)==(f|0)||(h[d>>2]=c,n[l>>2]=f,Le(s))}function lg(s,l){return s=s|0,l=l|0,y(h[s+276+(l<<3)>>2])}function mw(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+348|0,d=s+352|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function TA(s,l){s=s|0,l=y(l);var c=0,f=0;f=s+348|0,c=s+352|0,y(h[f>>2])==l&&(n[c>>2]|0)==2||(h[f>>2]=l,f=_t(l)|0,n[c>>2]=f?3:2,Le(s))}function fp(s){s=s|0;var l=0;l=s+352|0,(n[l>>2]|0)!=3&&(h[s+348>>2]=y(Ae),n[l>>2]=3,Le(s))}function Br(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+348|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function Cs(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+356|0,d=s+360|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function cg(s,l){s=s|0,l=y(l);var c=0,f=0;f=s+356|0,c=s+360|0,y(h[f>>2])==l&&(n[c>>2]|0)==2||(h[f>>2]=l,f=_t(l)|0,n[c>>2]=f?3:2,Le(s))}function ug(s){s=s|0;var l=0;l=s+360|0,(n[l>>2]|0)!=3&&(h[s+356>>2]=y(Ae),n[l>>2]=3,Le(s))}function Ag(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+356|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function pp(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+364|0,d=s+368|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function Ic(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=m?0:2,f=s+364|0,d=s+368|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function Ct(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+364|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function Sm(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+372|0,d=s+376|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function fg(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=m?0:2,f=s+372|0,d=s+376|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function pg(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+372|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function Cu(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+380|0,d=s+384|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function xm(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=m?0:2,f=s+380|0,d=s+384|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function hg(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+380|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function wu(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=(m^1)&1,f=s+388|0,d=s+392|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function yw(s,l){s=s|0,l=y(l);var c=0,f=0,d=0,m=0;m=_t(l)|0,c=m?0:2,f=s+388|0,d=s+392|0,m|y(h[f>>2])==l&&(n[d>>2]|0)==(c|0)||(h[f>>2]=l,n[d>>2]=c,Le(s))}function bm(s,l){s=s|0,l=l|0;var c=0,f=0;f=l+388|0,c=n[f+4>>2]|0,l=s,n[l>>2]=n[f>>2],n[l+4>>2]=c}function Aa(s,l){s=s|0,l=y(l);var c=0;c=s+396|0,y(h[c>>2])!=l&&(h[c>>2]=l,Le(s))}function Bc(s){return s=s|0,y(h[s+396>>2])}function Il(s){return s=s|0,y(h[s+400>>2])}function Iu(s){return s=s|0,y(h[s+404>>2])}function gg(s){return s=s|0,y(h[s+408>>2])}function RA(s){return s=s|0,y(h[s+412>>2])}function hp(s){return s=s|0,y(h[s+416>>2])}function ja(s){return s=s|0,y(h[s+420>>2])}function dg(s,l){switch(s=s|0,l=l|0,Un(s,(l|0)<6,2918),l|0){case 0:{l=(n[s+496>>2]|0)==2?5:4;break}case 2:{l=(n[s+496>>2]|0)==2?4:5;break}default:}return y(h[s+424+(l<<2)>>2])}function gp(s,l){switch(s=s|0,l=l|0,Un(s,(l|0)<6,2918),l|0){case 0:{l=(n[s+496>>2]|0)==2?5:4;break}case 2:{l=(n[s+496>>2]|0)==2?4:5;break}default:}return y(h[s+448+(l<<2)>>2])}function qo(s,l){switch(s=s|0,l=l|0,Un(s,(l|0)<6,2918),l|0){case 0:{l=(n[s+496>>2]|0)==2?5:4;break}case 2:{l=(n[s+496>>2]|0)==2?4:5;break}default:}return y(h[s+472+(l<<2)>>2])}function ws(s,l){s=s|0,l=l|0;var c=0,f=Ze;return c=n[s+4>>2]|0,(c|0)==(n[l+4>>2]|0)?c?(f=y(h[s>>2]),s=y(ne(y(f-y(h[l>>2]))))<y(999999974e-13)):s=1:s=0,s|0}function Ii(s,l){s=y(s),l=y(l);var c=0;return _t(s)|0?c=_t(l)|0:c=y(ne(y(s-l)))<y(999999974e-13),c|0}function km(s,l){s=s|0,l=l|0,Qm(s,l)}function Qm(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c+4|0,n[f>>2]=0,n[f+4>>2]=0,n[f+8>>2]=0,Oa(f|0,s|0,l|0,0),Ao(s,3,(o[f+11>>0]|0)<0?n[f>>2]|0:f,c),s3e(f),C=c}function Go(s,l,c,f){s=y(s),l=y(l),c=c|0,f=f|0;var d=Ze;s=y(s*l),d=y(kT(s,y(1)));do if(Ii(d,y(0))|0)s=y(s-d);else{if(s=y(s-d),Ii(d,y(1))|0){s=y(s+y(1));break}if(c){s=y(s+y(1));break}f||(d>y(.5)?d=y(1):(f=Ii(d,y(.5))|0,d=y(f?1:0)),s=y(s+d))}while(0);return y(s/l)}function NA(s,l,c,f,d,m,B,k,Q,O,M,q,se){s=s|0,l=y(l),c=c|0,f=y(f),d=d|0,m=y(m),B=B|0,k=y(k),Q=y(Q),O=y(O),M=y(M),q=y(q),se=se|0;var Ge=0,Oe=Ze,Fe=Ze,et=Ze,Xe=Ze,at=Ze,Ue=Ze;return Q<y(0)|O<y(0)?se=0:((se|0)!=0&&(Oe=y(h[se+4>>2]),Oe!=y(0))?(et=y(Go(l,Oe,0,0)),Xe=y(Go(f,Oe,0,0)),Fe=y(Go(m,Oe,0,0)),Oe=y(Go(k,Oe,0,0))):(Fe=m,et=l,Oe=k,Xe=f),(d|0)==(s|0)?Ge=Ii(Fe,et)|0:Ge=0,(B|0)==(c|0)?se=Ii(Oe,Xe)|0:se=0,!Ge&&(at=y(l-M),!(dp(s,at,Q)|0))&&!(mp(s,at,d,Q)|0)?Ge=mg(s,at,d,m,Q)|0:Ge=1,!se&&(Ue=y(f-q),!(dp(c,Ue,O)|0))&&!(mp(c,Ue,B,O)|0)?se=mg(c,Ue,B,k,O)|0:se=1,se=Ge&se),se|0}function dp(s,l,c){return s=s|0,l=y(l),c=y(c),(s|0)==1?s=Ii(l,c)|0:s=0,s|0}function mp(s,l,c,f){return s=s|0,l=y(l),c=c|0,f=y(f),(s|0)==2&(c|0)==0?l>=f?s=1:s=Ii(l,f)|0:s=0,s|0}function mg(s,l,c,f,d){return s=s|0,l=y(l),c=c|0,f=y(f),d=y(d),(s|0)==2&(c|0)==2&f>l?d<=l?s=1:s=Ii(l,d)|0:s=0,s|0}function fa(s,l,c,f,d,m,B,k,Q,O,M){s=s|0,l=y(l),c=y(c),f=f|0,d=d|0,m=m|0,B=y(B),k=y(k),Q=Q|0,O=O|0,M=M|0;var q=0,se=0,Ge=0,Oe=0,Fe=Ze,et=Ze,Xe=0,at=0,Ue=0,qe=0,Lt=0,Or=0,or=0,Xt=0,Pr=0,Nr=0,ir=0,bn=Ze,go=Ze,mo=Ze,yo=0,ya=0;ir=C,C=C+160|0,Xt=ir+152|0,or=ir+120|0,Or=ir+104|0,Ue=ir+72|0,Oe=ir+56|0,Lt=ir+8|0,at=ir,qe=(n[2279]|0)+1|0,n[2279]=qe,Pr=s+984|0,(o[Pr>>0]|0)!=0&&(n[s+512>>2]|0)!=(n[2278]|0)?Xe=4:(n[s+516>>2]|0)==(f|0)?Nr=0:Xe=4,(Xe|0)==4&&(n[s+520>>2]=0,n[s+924>>2]=-1,n[s+928>>2]=-1,h[s+932>>2]=y(-1),h[s+936>>2]=y(-1),Nr=1);e:do if(n[s+964>>2]|0)if(Fe=y(ln(s,2,B)),et=y(ln(s,0,B)),q=s+916|0,mo=y(h[q>>2]),go=y(h[s+920>>2]),bn=y(h[s+932>>2]),NA(d,l,m,c,n[s+924>>2]|0,mo,n[s+928>>2]|0,go,bn,y(h[s+936>>2]),Fe,et,M)|0)Xe=22;else if(Ge=n[s+520>>2]|0,!Ge)Xe=21;else for(se=0;;){if(q=s+524+(se*24|0)|0,bn=y(h[q>>2]),go=y(h[s+524+(se*24|0)+4>>2]),mo=y(h[s+524+(se*24|0)+16>>2]),NA(d,l,m,c,n[s+524+(se*24|0)+8>>2]|0,bn,n[s+524+(se*24|0)+12>>2]|0,go,mo,y(h[s+524+(se*24|0)+20>>2]),Fe,et,M)|0){Xe=22;break e}if(se=se+1|0,se>>>0>=Ge>>>0){Xe=21;break}}else{if(Q){if(q=s+916|0,!(Ii(y(h[q>>2]),l)|0)){Xe=21;break}if(!(Ii(y(h[s+920>>2]),c)|0)){Xe=21;break}if((n[s+924>>2]|0)!=(d|0)){Xe=21;break}q=(n[s+928>>2]|0)==(m|0)?q:0,Xe=22;break}if(Ge=n[s+520>>2]|0,!Ge)Xe=21;else for(se=0;;){if(q=s+524+(se*24|0)|0,Ii(y(h[q>>2]),l)|0&&Ii(y(h[s+524+(se*24|0)+4>>2]),c)|0&&(n[s+524+(se*24|0)+8>>2]|0)==(d|0)&&(n[s+524+(se*24|0)+12>>2]|0)==(m|0)){Xe=22;break e}if(se=se+1|0,se>>>0>=Ge>>>0){Xe=21;break}}}while(0);do if((Xe|0)==21)o[11697]|0?(q=0,Xe=28):(q=0,Xe=31);else if((Xe|0)==22){if(se=(o[11697]|0)!=0,!((q|0)!=0&(Nr^1)))if(se){Xe=28;break}else{Xe=31;break}Oe=q+16|0,n[s+908>>2]=n[Oe>>2],Ge=q+20|0,n[s+912>>2]=n[Ge>>2],(o[11698]|0)==0|se^1||(n[at>>2]=LA(qe)|0,n[at+4>>2]=qe,Ao(s,4,2972,at),se=n[s+972>>2]|0,se|0&&ef[se&127](s),d=qa(d,Q)|0,m=qa(m,Q)|0,ya=+y(h[Oe>>2]),yo=+y(h[Ge>>2]),n[Lt>>2]=d,n[Lt+4>>2]=m,E[Lt+8>>3]=+l,E[Lt+16>>3]=+c,E[Lt+24>>3]=ya,E[Lt+32>>3]=yo,n[Lt+40>>2]=O,Ao(s,4,2989,Lt))}while(0);return(Xe|0)==28&&(se=LA(qe)|0,n[Oe>>2]=se,n[Oe+4>>2]=qe,n[Oe+8>>2]=Nr?3047:11699,Ao(s,4,3038,Oe),se=n[s+972>>2]|0,se|0&&ef[se&127](s),Lt=qa(d,Q)|0,Xe=qa(m,Q)|0,n[Ue>>2]=Lt,n[Ue+4>>2]=Xe,E[Ue+8>>3]=+l,E[Ue+16>>3]=+c,n[Ue+24>>2]=O,Ao(s,4,3049,Ue),Xe=31),(Xe|0)==31&&(si(s,l,c,f,d,m,B,k,Q,M),o[11697]|0&&(se=n[2279]|0,Lt=LA(se)|0,n[Or>>2]=Lt,n[Or+4>>2]=se,n[Or+8>>2]=Nr?3047:11699,Ao(s,4,3083,Or),se=n[s+972>>2]|0,se|0&&ef[se&127](s),Lt=qa(d,Q)|0,Or=qa(m,Q)|0,yo=+y(h[s+908>>2]),ya=+y(h[s+912>>2]),n[or>>2]=Lt,n[or+4>>2]=Or,E[or+8>>3]=yo,E[or+16>>3]=ya,n[or+24>>2]=O,Ao(s,4,3092,or)),n[s+516>>2]=f,q||(se=s+520|0,q=n[se>>2]|0,(q|0)==16&&(o[11697]|0&&Ao(s,4,3124,Xt),n[se>>2]=0,q=0),Q?q=s+916|0:(n[se>>2]=q+1,q=s+524+(q*24|0)|0),h[q>>2]=l,h[q+4>>2]=c,n[q+8>>2]=d,n[q+12>>2]=m,n[q+16>>2]=n[s+908>>2],n[q+20>>2]=n[s+912>>2],q=0)),Q&&(n[s+416>>2]=n[s+908>>2],n[s+420>>2]=n[s+912>>2],o[s+985>>0]=1,o[Pr>>0]=0),n[2279]=(n[2279]|0)+-1,n[s+512>>2]=n[2278],C=ir,Nr|(q|0)==0|0}function ln(s,l,c){s=s|0,l=l|0,c=y(c);var f=Ze;return f=y(V(s,l,c)),y(f+y(re(s,l,c)))}function Ao(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=C,C=C+16|0,d=m,n[d>>2]=f,s?f=n[s+976>>2]|0:f=0,Eg(f,s,l,c,d),C=m}function LA(s){return s=s|0,(s>>>0>60?3201:3201+(60-s)|0)|0}function qa(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;return d=C,C=C+32|0,c=d+12|0,f=d,n[c>>2]=n[254],n[c+4>>2]=n[255],n[c+8>>2]=n[256],n[f>>2]=n[257],n[f+4>>2]=n[258],n[f+8>>2]=n[259],(s|0)>2?s=11699:s=n[(l?f:c)+(s<<2)>>2]|0,C=d,s|0}function si(s,l,c,f,d,m,B,k,Q,O){s=s|0,l=y(l),c=y(c),f=f|0,d=d|0,m=m|0,B=y(B),k=y(k),Q=Q|0,O=O|0;var M=0,q=0,se=0,Ge=0,Oe=Ze,Fe=Ze,et=Ze,Xe=Ze,at=Ze,Ue=Ze,qe=Ze,Lt=0,Or=0,or=0,Xt=Ze,Pr=Ze,Nr=0,ir=Ze,bn=0,go=0,mo=0,yo=0,ya=0,Qp=0,Fp=0,xl=0,Tp=0,Fu=0,Tu=0,Rp=0,Np=0,Lp=0,Xr=0,bl=0,Mp=0,bc=0,Op=Ze,Up=Ze,Ru=Ze,Nu=Ze,kc=Ze,qs=0,za=0,Wo=0,kl=0,rf=0,nf=Ze,Lu=Ze,sf=Ze,of=Ze,Gs=Ze,vs=Ze,Ql=0,Tn=Ze,af=Ze,Eo=Ze,Qc=Ze,Co=Ze,Fc=Ze,lf=0,cf=0,Tc=Ze,Ys=Ze,Fl=0,uf=0,Af=0,ff=0,br=Ze,Jn=0,Ds=0,wo=0,Ws=0,Tr=0,ur=0,Tl=0,Jt=Ze,pf=0,li=0;Tl=C,C=C+16|0,qs=Tl+12|0,za=Tl+8|0,Wo=Tl+4|0,kl=Tl,Un(s,(d|0)==0|(_t(l)|0)^1,3326),Un(s,(m|0)==0|(_t(c)|0)^1,3406),Ds=mt(s,f)|0,n[s+496>>2]=Ds,Tr=fr(2,Ds)|0,ur=fr(0,Ds)|0,h[s+440>>2]=y(V(s,Tr,B)),h[s+444>>2]=y(re(s,Tr,B)),h[s+428>>2]=y(V(s,ur,B)),h[s+436>>2]=y(re(s,ur,B)),h[s+464>>2]=y(Cr(s,Tr)),h[s+468>>2]=y(yn(s,Tr)),h[s+452>>2]=y(Cr(s,ur)),h[s+460>>2]=y(yn(s,ur)),h[s+488>>2]=y(oi(s,Tr,B)),h[s+492>>2]=y(Mi(s,Tr,B)),h[s+476>>2]=y(oi(s,ur,B)),h[s+484>>2]=y(Mi(s,ur,B));do if(n[s+964>>2]|0)wg(s,l,c,d,m,B,k);else{if(wo=s+948|0,Ws=(n[s+952>>2]|0)-(n[wo>>2]|0)>>2,!Ws){Gv(s,l,c,d,m,B,k);break}if(!Q&&Yv(s,l,c,d,m,B,k)|0)break;$(s),bl=s+508|0,o[bl>>0]=0,Tr=fr(n[s+4>>2]|0,Ds)|0,ur=Cw(Tr,Ds)|0,Jn=he(Tr)|0,Mp=n[s+8>>2]|0,uf=s+28|0,bc=(n[uf>>2]|0)!=0,Co=Jn?B:k,Tc=Jn?k:B,Op=y(Ep(s,Tr,B)),Up=y(ww(s,Tr,B)),Oe=y(Ep(s,ur,B)),Fc=y(En(s,Tr,B)),Ys=y(En(s,ur,B)),or=Jn?d:m,Fl=Jn?m:d,br=Jn?Fc:Ys,at=Jn?Ys:Fc,Qc=y(ln(s,2,B)),Xe=y(ln(s,0,B)),Fe=y(y(Gr(s+364|0,B))-br),et=y(y(Gr(s+380|0,B))-br),Ue=y(y(Gr(s+372|0,k))-at),qe=y(y(Gr(s+388|0,k))-at),Ru=Jn?Fe:Ue,Nu=Jn?et:qe,Qc=y(l-Qc),l=y(Qc-br),_t(l)|0?br=l:br=y(_n(y(Tg(l,et)),Fe)),af=y(c-Xe),l=y(af-at),_t(l)|0?Eo=l:Eo=y(_n(y(Tg(l,qe)),Ue)),Fe=Jn?br:Eo,Tn=Jn?Eo:br;e:do if((or|0)==1)for(f=0,q=0;;){if(M=gs(s,q)|0,!f)y(rs(M))>y(0)&&y(js(M))>y(0)?f=M:f=0;else if(Tm(M)|0){Ge=0;break e}if(q=q+1|0,q>>>0>=Ws>>>0){Ge=f;break}}else Ge=0;while(0);Lt=Ge+500|0,Or=Ge+504|0,f=0,M=0,l=y(0),se=0;do{if(q=n[(n[wo>>2]|0)+(se<<2)>>2]|0,(n[q+36>>2]|0)==1)Bu(q),o[q+985>>0]=1,o[q+984>>0]=0;else{Bl(q),Q&&yp(q,mt(q,Ds)|0,Fe,Tn,br);do if((n[q+24>>2]|0)!=1)if((q|0)==(Ge|0)){n[Lt>>2]=n[2278],h[Or>>2]=y(0);break}else{Rm(s,q,br,d,Eo,br,Eo,m,Ds,O);break}else M|0&&(n[M+960>>2]=q),n[q+960>>2]=0,M=q,f=(f|0)==0?q:f;while(0);vs=y(h[q+504>>2]),l=y(l+y(vs+y(ln(q,Tr,br))))}se=se+1|0}while((se|0)!=(Ws|0));for(mo=l>Fe,Ql=bc&((or|0)==2&mo)?1:or,bn=(Fl|0)==1,ya=bn&(Q^1),Qp=(Ql|0)==1,Fp=(Ql|0)==2,xl=976+(Tr<<2)|0,Tp=(Fl|2|0)==2,Lp=bn&(bc^1),Fu=1040+(ur<<2)|0,Tu=1040+(Tr<<2)|0,Rp=976+(ur<<2)|0,Np=(Fl|0)!=1,mo=bc&((or|0)!=0&mo),go=s+976|0,bn=bn^1,l=Fe,Nr=0,yo=0,vs=y(0),kc=y(0);;){e:do if(Nr>>>0<Ws>>>0)for(Or=n[wo>>2]|0,se=0,qe=y(0),Ue=y(0),et=y(0),Fe=y(0),q=0,M=0,Ge=Nr;;){if(Lt=n[Or+(Ge<<2)>>2]|0,(n[Lt+36>>2]|0)!=1&&(n[Lt+940>>2]=yo,(n[Lt+24>>2]|0)!=1)){if(Xe=y(ln(Lt,Tr,br)),Xr=n[xl>>2]|0,c=y(Gr(Lt+380+(Xr<<3)|0,Co)),at=y(h[Lt+504>>2]),c=y(Tg(c,at)),c=y(_n(y(Gr(Lt+364+(Xr<<3)|0,Co)),c)),bc&(se|0)!=0&y(Xe+y(Ue+c))>l){m=se,Xe=qe,or=Ge;break e}Xe=y(Xe+c),c=y(Ue+Xe),Xe=y(qe+Xe),Tm(Lt)|0&&(et=y(et+y(rs(Lt))),Fe=y(Fe-y(at*y(js(Lt))))),M|0&&(n[M+960>>2]=Lt),n[Lt+960>>2]=0,se=se+1|0,M=Lt,q=(q|0)==0?Lt:q}else Xe=qe,c=Ue;if(Ge=Ge+1|0,Ge>>>0<Ws>>>0)qe=Xe,Ue=c;else{m=se,or=Ge;break}}else m=0,Xe=y(0),et=y(0),Fe=y(0),q=0,or=Nr;while(0);Xr=et>y(0)&et<y(1),Xt=Xr?y(1):et,Xr=Fe>y(0)&Fe<y(1),qe=Xr?y(1):Fe;do if(Qp)Xr=51;else if(Xe<Ru&((_t(Ru)|0)^1))l=Ru,Xr=51;else if(Xe>Nu&((_t(Nu)|0)^1))l=Nu,Xr=51;else if(o[(n[go>>2]|0)+3>>0]|0)Xr=51;else{if(Xt!=y(0)&&y(rs(s))!=y(0)){Xr=53;break}l=Xe,Xr=53}while(0);if((Xr|0)==51&&(Xr=0,_t(l)|0?Xr=53:(Pr=y(l-Xe),ir=l)),(Xr|0)==53&&(Xr=0,Xe<y(0)?(Pr=y(-Xe),ir=l):(Pr=y(0),ir=l)),!ya&&(rf=(q|0)==0,!rf)){se=n[xl>>2]|0,Ge=Pr<y(0),at=y(Pr/qe),Lt=Pr>y(0),Ue=y(Pr/Xt),et=y(0),Xe=y(0),l=y(0),M=q;do c=y(Gr(M+380+(se<<3)|0,Co)),Fe=y(Gr(M+364+(se<<3)|0,Co)),Fe=y(Tg(c,y(_n(Fe,y(h[M+504>>2]))))),Ge?(c=y(Fe*y(js(M))),c!=y(-0)&&(Jt=y(Fe-y(at*c)),nf=y(Bi(M,Tr,Jt,ir,br)),Jt!=nf)&&(et=y(et-y(nf-Fe)),l=y(l+c))):Lt&&(Lu=y(rs(M)),Lu!=y(0))&&(Jt=y(Fe+y(Ue*Lu)),sf=y(Bi(M,Tr,Jt,ir,br)),Jt!=sf)&&(et=y(et-y(sf-Fe)),Xe=y(Xe-Lu)),M=n[M+960>>2]|0;while((M|0)!=0);if(l=y(qe+l),Fe=y(Pr+et),rf)l=y(0);else{at=y(Xt+Xe),Ge=n[xl>>2]|0,Lt=Fe<y(0),Or=l==y(0),Ue=y(Fe/l),se=Fe>y(0),at=y(Fe/at),l=y(0);do{Jt=y(Gr(q+380+(Ge<<3)|0,Co)),et=y(Gr(q+364+(Ge<<3)|0,Co)),et=y(Tg(Jt,y(_n(et,y(h[q+504>>2]))))),Lt?(Jt=y(et*y(js(q))),Fe=y(-Jt),Jt!=y(-0)?(Jt=y(Ue*Fe),Fe=y(Bi(q,Tr,y(et+(Or?Fe:Jt)),ir,br))):Fe=et):se&&(of=y(rs(q)),of!=y(0))?Fe=y(Bi(q,Tr,y(et+y(at*of)),ir,br)):Fe=et,l=y(l-y(Fe-et)),Xe=y(ln(q,Tr,br)),c=y(ln(q,ur,br)),Fe=y(Fe+Xe),h[za>>2]=Fe,n[kl>>2]=1,et=y(h[q+396>>2]);e:do if(_t(et)|0){M=_t(Tn)|0;do if(!M){if(mo|(ts(q,ur,Tn)|0|bn)||(ha(s,q)|0)!=4||(n[(vl(q,ur)|0)+4>>2]|0)==3||(n[(Pc(q,ur)|0)+4>>2]|0)==3)break;h[qs>>2]=Tn,n[Wo>>2]=1;break e}while(0);if(ts(q,ur,Tn)|0){M=n[q+992+(n[Rp>>2]<<2)>>2]|0,Jt=y(c+y(Gr(M,Tn))),h[qs>>2]=Jt,M=Np&(n[M+4>>2]|0)==2,n[Wo>>2]=((_t(Jt)|0|M)^1)&1;break}else{h[qs>>2]=Tn,n[Wo>>2]=M?0:2;break}}else Jt=y(Fe-Xe),Xt=y(Jt/et),Jt=y(et*Jt),n[Wo>>2]=1,h[qs>>2]=y(c+(Jn?Xt:Jt));while(0);yr(q,Tr,ir,br,kl,za),yr(q,ur,Tn,br,Wo,qs);do if(!(ts(q,ur,Tn)|0)&&(ha(s,q)|0)==4){if((n[(vl(q,ur)|0)+4>>2]|0)==3){M=0;break}M=(n[(Pc(q,ur)|0)+4>>2]|0)!=3}else M=0;while(0);Jt=y(h[za>>2]),Xt=y(h[qs>>2]),pf=n[kl>>2]|0,li=n[Wo>>2]|0,fa(q,Jn?Jt:Xt,Jn?Xt:Jt,Ds,Jn?pf:li,Jn?li:pf,br,Eo,Q&(M^1),3488,O)|0,o[bl>>0]=o[bl>>0]|o[q+508>>0],q=n[q+960>>2]|0}while((q|0)!=0)}}else l=y(0);if(l=y(Pr+l),li=l<y(0)&1,o[bl>>0]=li|u[bl>>0],Fp&l>y(0)?(M=n[xl>>2]|0,(n[s+364+(M<<3)+4>>2]|0)!=0&&(Gs=y(Gr(s+364+(M<<3)|0,Co)),Gs>=y(0))?Fe=y(_n(y(0),y(Gs-y(ir-l)))):Fe=y(0)):Fe=l,Lt=Nr>>>0<or>>>0,Lt){Ge=n[wo>>2]|0,se=Nr,M=0;do q=n[Ge+(se<<2)>>2]|0,n[q+24>>2]|0||(M=((n[(vl(q,Tr)|0)+4>>2]|0)==3&1)+M|0,M=M+((n[(Pc(q,Tr)|0)+4>>2]|0)==3&1)|0),se=se+1|0;while((se|0)!=(or|0));M?(Xe=y(0),c=y(0)):Xr=101}else Xr=101;e:do if((Xr|0)==101)switch(Xr=0,Mp|0){case 1:{M=0,Xe=y(Fe*y(.5)),c=y(0);break e}case 2:{M=0,Xe=Fe,c=y(0);break e}case 3:{if(m>>>0<=1){M=0,Xe=y(0),c=y(0);break e}c=y((m+-1|0)>>>0),M=0,Xe=y(0),c=y(y(_n(Fe,y(0)))/c);break e}case 5:{c=y(Fe/y((m+1|0)>>>0)),M=0,Xe=c;break e}case 4:{c=y(Fe/y(m>>>0)),M=0,Xe=y(c*y(.5));break e}default:{M=0,Xe=y(0),c=y(0);break e}}while(0);if(l=y(Op+Xe),Lt){et=y(Fe/y(M|0)),se=n[wo>>2]|0,q=Nr,Fe=y(0);do{M=n[se+(q<<2)>>2]|0;e:do if((n[M+36>>2]|0)!=1){switch(n[M+24>>2]|0){case 1:{if(gi(M,Tr)|0){if(!Q)break e;Jt=y(Mr(M,Tr,ir)),Jt=y(Jt+y(Cr(s,Tr))),Jt=y(Jt+y(V(M,Tr,br))),h[M+400+(n[Tu>>2]<<2)>>2]=Jt;break e}break}case 0:if(li=(n[(vl(M,Tr)|0)+4>>2]|0)==3,Jt=y(et+l),l=li?Jt:l,Q&&(li=M+400+(n[Tu>>2]<<2)|0,h[li>>2]=y(l+y(h[li>>2]))),li=(n[(Pc(M,Tr)|0)+4>>2]|0)==3,Jt=y(et+l),l=li?Jt:l,ya){Jt=y(c+y(ln(M,Tr,br))),Fe=Tn,l=y(l+y(Jt+y(h[M+504>>2])));break e}else{l=y(l+y(c+y(ns(M,Tr,br)))),Fe=y(_n(Fe,y(ns(M,ur,br))));break e}default:}Q&&(Jt=y(Xe+y(Cr(s,Tr))),li=M+400+(n[Tu>>2]<<2)|0,h[li>>2]=y(Jt+y(h[li>>2])))}while(0);q=q+1|0}while((q|0)!=(or|0))}else Fe=y(0);if(c=y(Up+l),Tp?Xe=y(y(Bi(s,ur,y(Ys+Fe),Tc,B))-Ys):Xe=Tn,et=y(y(Bi(s,ur,y(Ys+(Lp?Tn:Fe)),Tc,B))-Ys),Lt&Q){q=Nr;do{se=n[(n[wo>>2]|0)+(q<<2)>>2]|0;do if((n[se+36>>2]|0)!=1){if((n[se+24>>2]|0)==1){if(gi(se,ur)|0){if(Jt=y(Mr(se,ur,Tn)),Jt=y(Jt+y(Cr(s,ur))),Jt=y(Jt+y(V(se,ur,br))),M=n[Fu>>2]|0,h[se+400+(M<<2)>>2]=Jt,!(_t(Jt)|0))break}else M=n[Fu>>2]|0;Jt=y(Cr(s,ur)),h[se+400+(M<<2)>>2]=y(Jt+y(V(se,ur,br)));break}M=ha(s,se)|0;do if((M|0)==4){if((n[(vl(se,ur)|0)+4>>2]|0)==3){Xr=139;break}if((n[(Pc(se,ur)|0)+4>>2]|0)==3){Xr=139;break}if(ts(se,ur,Tn)|0){l=Oe;break}pf=n[se+908+(n[xl>>2]<<2)>>2]|0,n[qs>>2]=pf,l=y(h[se+396>>2]),li=_t(l)|0,Fe=(n[v>>2]=pf,y(h[v>>2])),li?l=et:(Pr=y(ln(se,ur,br)),Jt=y(Fe/l),l=y(l*Fe),l=y(Pr+(Jn?Jt:l))),h[za>>2]=l,h[qs>>2]=y(y(ln(se,Tr,br))+Fe),n[Wo>>2]=1,n[kl>>2]=1,yr(se,Tr,ir,br,Wo,qs),yr(se,ur,Tn,br,kl,za),l=y(h[qs>>2]),Pr=y(h[za>>2]),Jt=Jn?l:Pr,l=Jn?Pr:l,li=((_t(Jt)|0)^1)&1,fa(se,Jt,l,Ds,li,((_t(l)|0)^1)&1,br,Eo,1,3493,O)|0,l=Oe}else Xr=139;while(0);e:do if((Xr|0)==139){Xr=0,l=y(Xe-y(ns(se,ur,br)));do if((n[(vl(se,ur)|0)+4>>2]|0)==3){if((n[(Pc(se,ur)|0)+4>>2]|0)!=3)break;l=y(Oe+y(_n(y(0),y(l*y(.5)))));break e}while(0);if((n[(Pc(se,ur)|0)+4>>2]|0)==3){l=Oe;break}if((n[(vl(se,ur)|0)+4>>2]|0)==3){l=y(Oe+y(_n(y(0),l)));break}switch(M|0){case 1:{l=Oe;break e}case 2:{l=y(Oe+y(l*y(.5)));break e}default:{l=y(Oe+l);break e}}}while(0);Jt=y(vs+l),li=se+400+(n[Fu>>2]<<2)|0,h[li>>2]=y(Jt+y(h[li>>2]))}while(0);q=q+1|0}while((q|0)!=(or|0))}if(vs=y(vs+et),kc=y(_n(kc,c)),m=yo+1|0,or>>>0>=Ws>>>0)break;l=ir,Nr=or,yo=m}do if(Q){if(M=m>>>0>1,!M&&!(Yi(s)|0))break;if(!(_t(Tn)|0)){l=y(Tn-vs);e:do switch(n[s+12>>2]|0){case 3:{Oe=y(Oe+l),Ue=y(0);break}case 2:{Oe=y(Oe+y(l*y(.5))),Ue=y(0);break}case 4:{Tn>vs?Ue=y(l/y(m>>>0)):Ue=y(0);break}case 7:if(Tn>vs){Oe=y(Oe+y(l/y(m<<1>>>0))),Ue=y(l/y(m>>>0)),Ue=M?Ue:y(0);break e}else{Oe=y(Oe+y(l*y(.5))),Ue=y(0);break e}case 6:{Ue=y(l/y(yo>>>0)),Ue=Tn>vs&M?Ue:y(0);break}default:Ue=y(0)}while(0);if(m|0)for(Lt=1040+(ur<<2)|0,Or=976+(ur<<2)|0,Ge=0,q=0;;){e:do if(q>>>0<Ws>>>0)for(Fe=y(0),et=y(0),l=y(0),se=q;;){M=n[(n[wo>>2]|0)+(se<<2)>>2]|0;do if((n[M+36>>2]|0)!=1&&(n[M+24>>2]|0)==0){if((n[M+940>>2]|0)!=(Ge|0))break e;if(Nm(M,ur)|0&&(Jt=y(h[M+908+(n[Or>>2]<<2)>>2]),l=y(_n(l,y(Jt+y(ln(M,ur,br)))))),(ha(s,M)|0)!=5)break;Gs=y(Ya(M)),Gs=y(Gs+y(V(M,0,br))),Jt=y(h[M+912>>2]),Jt=y(y(Jt+y(ln(M,0,br)))-Gs),Gs=y(_n(et,Gs)),Jt=y(_n(Fe,Jt)),Fe=Jt,et=Gs,l=y(_n(l,y(Gs+Jt)))}while(0);if(M=se+1|0,M>>>0<Ws>>>0)se=M;else{se=M;break}}else et=y(0),l=y(0),se=q;while(0);if(at=y(Ue+l),c=Oe,Oe=y(Oe+at),q>>>0<se>>>0){Xe=y(c+et),M=q;do{q=n[(n[wo>>2]|0)+(M<<2)>>2]|0;e:do if((n[q+36>>2]|0)!=1&&(n[q+24>>2]|0)==0)switch(ha(s,q)|0){case 1:{Jt=y(c+y(V(q,ur,br))),h[q+400+(n[Lt>>2]<<2)>>2]=Jt;break e}case 3:{Jt=y(y(Oe-y(re(q,ur,br)))-y(h[q+908+(n[Or>>2]<<2)>>2])),h[q+400+(n[Lt>>2]<<2)>>2]=Jt;break e}case 2:{Jt=y(c+y(y(at-y(h[q+908+(n[Or>>2]<<2)>>2]))*y(.5))),h[q+400+(n[Lt>>2]<<2)>>2]=Jt;break e}case 4:{if(Jt=y(c+y(V(q,ur,br))),h[q+400+(n[Lt>>2]<<2)>>2]=Jt,ts(q,ur,Tn)|0||(Jn?(Fe=y(h[q+908>>2]),l=y(Fe+y(ln(q,Tr,br))),et=at):(et=y(h[q+912>>2]),et=y(et+y(ln(q,ur,br))),l=at,Fe=y(h[q+908>>2])),Ii(l,Fe)|0&&Ii(et,y(h[q+912>>2]))|0))break e;fa(q,l,et,Ds,1,1,br,Eo,1,3501,O)|0;break e}case 5:{h[q+404>>2]=y(y(Xe-y(Ya(q)))+y(Mr(q,0,Tn)));break e}default:break e}while(0);M=M+1|0}while((M|0)!=(se|0))}if(Ge=Ge+1|0,(Ge|0)==(m|0))break;q=se}}}while(0);if(h[s+908>>2]=y(Bi(s,2,Qc,B,B)),h[s+912>>2]=y(Bi(s,0,af,k,B)),(Ql|0)!=0&&(lf=n[s+32>>2]|0,cf=(Ql|0)==2,!(cf&(lf|0)!=2))?cf&(lf|0)==2&&(l=y(Fc+ir),l=y(_n(y(Tg(l,y(MA(s,Tr,kc,Co)))),Fc)),Xr=198):(l=y(Bi(s,Tr,kc,Co,B)),Xr=198),(Xr|0)==198&&(h[s+908+(n[976+(Tr<<2)>>2]<<2)>>2]=l),(Fl|0)!=0&&(Af=n[s+32>>2]|0,ff=(Fl|0)==2,!(ff&(Af|0)!=2))?ff&(Af|0)==2&&(l=y(Ys+Tn),l=y(_n(y(Tg(l,y(MA(s,ur,y(Ys+vs),Tc)))),Ys)),Xr=204):(l=y(Bi(s,ur,y(Ys+vs),Tc,B)),Xr=204),(Xr|0)==204&&(h[s+908+(n[976+(ur<<2)>>2]<<2)>>2]=l),Q){if((n[uf>>2]|0)==2){q=976+(ur<<2)|0,se=1040+(ur<<2)|0,M=0;do Ge=gs(s,M)|0,n[Ge+24>>2]|0||(pf=n[q>>2]|0,Jt=y(h[s+908+(pf<<2)>>2]),li=Ge+400+(n[se>>2]<<2)|0,Jt=y(Jt-y(h[li>>2])),h[li>>2]=y(Jt-y(h[Ge+908+(pf<<2)>>2]))),M=M+1|0;while((M|0)!=(Ws|0))}if(f|0){M=Jn?Ql:d;do Lm(s,f,br,M,Eo,Ds,O),f=n[f+960>>2]|0;while((f|0)!=0)}if(M=(Tr|2|0)==3,q=(ur|2|0)==3,M|q){f=0;do se=n[(n[wo>>2]|0)+(f<<2)>>2]|0,(n[se+36>>2]|0)!=1&&(M&&Cp(s,se,Tr),q&&Cp(s,se,ur)),f=f+1|0;while((f|0)!=(Ws|0))}}}while(0);C=Tl}function pa(s,l){s=s|0,l=y(l);var c=0;oa(s,l>=y(0),3147),c=l==y(0),h[s+4>>2]=c?y(0):l}function vc(s,l,c,f){s=s|0,l=y(l),c=y(c),f=f|0;var d=Ze,m=Ze,B=0,k=0,Q=0;n[2278]=(n[2278]|0)+1,Bl(s),ts(s,2,l)|0?(d=y(Gr(n[s+992>>2]|0,l)),Q=1,d=y(d+y(ln(s,2,l)))):(d=y(Gr(s+380|0,l)),d>=y(0)?Q=2:(Q=((_t(l)|0)^1)&1,d=l)),ts(s,0,c)|0?(m=y(Gr(n[s+996>>2]|0,c)),k=1,m=y(m+y(ln(s,0,l)))):(m=y(Gr(s+388|0,c)),m>=y(0)?k=2:(k=((_t(c)|0)^1)&1,m=c)),B=s+976|0,fa(s,d,m,f,Q,k,l,c,1,3189,n[B>>2]|0)|0&&(yp(s,n[s+496>>2]|0,l,c,l),Dc(s,y(h[(n[B>>2]|0)+4>>2]),y(0),y(0)),o[11696]|0)&&km(s,7)}function Bl(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;k=C,C=C+32|0,B=k+24|0,m=k+16|0,f=k+8|0,d=k,c=0;do l=s+380+(c<<3)|0,(n[s+380+(c<<3)+4>>2]|0)!=0&&(Q=l,O=n[Q+4>>2]|0,M=f,n[M>>2]=n[Q>>2],n[M+4>>2]=O,M=s+364+(c<<3)|0,O=n[M+4>>2]|0,Q=d,n[Q>>2]=n[M>>2],n[Q+4>>2]=O,n[m>>2]=n[f>>2],n[m+4>>2]=n[f+4>>2],n[B>>2]=n[d>>2],n[B+4>>2]=n[d+4>>2],ws(m,B)|0)||(l=s+348+(c<<3)|0),n[s+992+(c<<2)>>2]=l,c=c+1|0;while((c|0)!=2);C=k}function ts(s,l,c){s=s|0,l=l|0,c=y(c);var f=0;switch(s=n[s+992+(n[976+(l<<2)>>2]<<2)>>2]|0,n[s+4>>2]|0){case 0:case 3:{s=0;break}case 1:{y(h[s>>2])<y(0)?s=0:f=5;break}case 2:{y(h[s>>2])<y(0)?s=0:s=(_t(c)|0)^1;break}default:f=5}return(f|0)==5&&(s=1),s|0}function Gr(s,l){switch(s=s|0,l=y(l),n[s+4>>2]|0){case 2:{l=y(y(y(h[s>>2])*l)/y(100));break}case 1:{l=y(h[s>>2]);break}default:l=y(Ae)}return y(l)}function yp(s,l,c,f,d){s=s|0,l=l|0,c=y(c),f=y(f),d=y(d);var m=0,B=Ze;l=n[s+944>>2]|0?l:1,m=fr(n[s+4>>2]|0,l)|0,l=Cw(m,l)|0,c=y(Mm(s,m,c)),f=y(Mm(s,l,f)),B=y(c+y(V(s,m,d))),h[s+400+(n[1040+(m<<2)>>2]<<2)>>2]=B,c=y(c+y(re(s,m,d))),h[s+400+(n[1e3+(m<<2)>>2]<<2)>>2]=c,c=y(f+y(V(s,l,d))),h[s+400+(n[1040+(l<<2)>>2]<<2)>>2]=c,d=y(f+y(re(s,l,d))),h[s+400+(n[1e3+(l<<2)>>2]<<2)>>2]=d}function Dc(s,l,c,f){s=s|0,l=y(l),c=y(c),f=y(f);var d=0,m=0,B=Ze,k=Ze,Q=0,O=0,M=Ze,q=0,se=Ze,Ge=Ze,Oe=Ze,Fe=Ze;if(l!=y(0)&&(d=s+400|0,Fe=y(h[d>>2]),m=s+404|0,Oe=y(h[m>>2]),q=s+416|0,Ge=y(h[q>>2]),O=s+420|0,B=y(h[O>>2]),se=y(Fe+c),M=y(Oe+f),f=y(se+Ge),k=y(M+B),Q=(n[s+988>>2]|0)==1,h[d>>2]=y(Go(Fe,l,0,Q)),h[m>>2]=y(Go(Oe,l,0,Q)),c=y(kT(y(Ge*l),y(1))),Ii(c,y(0))|0?m=0:m=(Ii(c,y(1))|0)^1,c=y(kT(y(B*l),y(1))),Ii(c,y(0))|0?d=0:d=(Ii(c,y(1))|0)^1,Fe=y(Go(f,l,Q&m,Q&(m^1))),h[q>>2]=y(Fe-y(Go(se,l,0,Q))),Fe=y(Go(k,l,Q&d,Q&(d^1))),h[O>>2]=y(Fe-y(Go(M,l,0,Q))),m=(n[s+952>>2]|0)-(n[s+948>>2]|0)>>2,m|0)){d=0;do Dc(gs(s,d)|0,l,se,M),d=d+1|0;while((d|0)!=(m|0))}}function Ew(s,l,c,f,d){switch(s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,c|0){case 5:case 0:{s=a7(n[489]|0,f,d)|0;break}default:s=t3e(f,d)|0}return s|0}function yg(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;d=C,C=C+16|0,m=d,n[m>>2]=f,Eg(s,0,l,c,m),C=d}function Eg(s,l,c,f,d){if(s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,s=s|0?s:956,x7[n[s+8>>2]&1](s,l,c,f,d)|0,(c|0)==5)Tt();else return}function Ga(s,l,c){s=s|0,l=l|0,c=c|0,o[s+l>>0]=c&1}function Fm(s,l){s=s|0,l=l|0;var c=0,f=0;n[s>>2]=0,n[s+4>>2]=0,n[s+8>>2]=0,c=l+4|0,f=(n[c>>2]|0)-(n[l>>2]|0)>>2,f|0&&(Cg(s,f),Qt(s,n[l>>2]|0,n[c>>2]|0,f))}function Cg(s,l){s=s|0,l=l|0;var c=0;if((N(s)|0)>>>0<l>>>0&&zr(s),l>>>0>1073741823)Tt();else{c=Vt(l<<2)|0,n[s+4>>2]=c,n[s>>2]=c,n[s+8>>2]=c+(l<<2);return}}function Qt(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,f=s+4|0,s=c-l|0,(s|0)>0&&(Dr(n[f>>2]|0,l|0,s|0)|0,n[f>>2]=(n[f>>2]|0)+(s>>>2<<2))}function N(s){return s=s|0,1073741823}function V(s,l,c){return s=s|0,l=l|0,c=y(c),he(l)|0&&(n[s+96>>2]|0)!=0?s=s+92|0:s=Fn(s+60|0,n[1040+(l<<2)>>2]|0,992)|0,y(ze(s,c))}function re(s,l,c){return s=s|0,l=l|0,c=y(c),he(l)|0&&(n[s+104>>2]|0)!=0?s=s+100|0:s=Fn(s+60|0,n[1e3+(l<<2)>>2]|0,992)|0,y(ze(s,c))}function he(s){return s=s|0,(s|1|0)==3|0}function ze(s,l){return s=s|0,l=y(l),(n[s+4>>2]|0)==3?l=y(0):l=y(Gr(s,l)),y(l)}function mt(s,l){return s=s|0,l=l|0,s=n[s>>2]|0,((s|0)==0?(l|0)>1?l:1:s)|0}function fr(s,l){s=s|0,l=l|0;var c=0;e:do if((l|0)==2){switch(s|0){case 2:{s=3;break e}case 3:break;default:{c=4;break e}}s=2}else c=4;while(0);return s|0}function Cr(s,l){s=s|0,l=l|0;var c=Ze;return he(l)|0&&(n[s+312>>2]|0)!=0&&(c=y(h[s+308>>2]),c>=y(0))||(c=y(_n(y(h[(Fn(s+276|0,n[1040+(l<<2)>>2]|0,992)|0)>>2]),y(0)))),y(c)}function yn(s,l){s=s|0,l=l|0;var c=Ze;return he(l)|0&&(n[s+320>>2]|0)!=0&&(c=y(h[s+316>>2]),c>=y(0))||(c=y(_n(y(h[(Fn(s+276|0,n[1e3+(l<<2)>>2]|0,992)|0)>>2]),y(0)))),y(c)}function oi(s,l,c){s=s|0,l=l|0,c=y(c);var f=Ze;return he(l)|0&&(n[s+240>>2]|0)!=0&&(f=y(Gr(s+236|0,c)),f>=y(0))||(f=y(_n(y(Gr(Fn(s+204|0,n[1040+(l<<2)>>2]|0,992)|0,c)),y(0)))),y(f)}function Mi(s,l,c){s=s|0,l=l|0,c=y(c);var f=Ze;return he(l)|0&&(n[s+248>>2]|0)!=0&&(f=y(Gr(s+244|0,c)),f>=y(0))||(f=y(_n(y(Gr(Fn(s+204|0,n[1e3+(l<<2)>>2]|0,992)|0,c)),y(0)))),y(f)}function wg(s,l,c,f,d,m,B){s=s|0,l=y(l),c=y(c),f=f|0,d=d|0,m=y(m),B=y(B);var k=Ze,Q=Ze,O=Ze,M=Ze,q=Ze,se=Ze,Ge=0,Oe=0,Fe=0;Fe=C,C=C+16|0,Ge=Fe,Oe=s+964|0,Un(s,(n[Oe>>2]|0)!=0,3519),k=y(En(s,2,l)),Q=y(En(s,0,l)),O=y(ln(s,2,l)),M=y(ln(s,0,l)),_t(l)|0?q=l:q=y(_n(y(0),y(y(l-O)-k))),_t(c)|0?se=c:se=y(_n(y(0),y(y(c-M)-Q))),(f|0)==1&(d|0)==1?(h[s+908>>2]=y(Bi(s,2,y(l-O),m,m)),l=y(Bi(s,0,y(c-M),B,m))):(b7[n[Oe>>2]&1](Ge,s,q,f,se,d),q=y(k+y(h[Ge>>2])),se=y(l-O),h[s+908>>2]=y(Bi(s,2,(f|2|0)==2?q:se,m,m)),se=y(Q+y(h[Ge+4>>2])),l=y(c-M),l=y(Bi(s,0,(d|2|0)==2?se:l,B,m))),h[s+912>>2]=l,C=Fe}function Gv(s,l,c,f,d,m,B){s=s|0,l=y(l),c=y(c),f=f|0,d=d|0,m=y(m),B=y(B);var k=Ze,Q=Ze,O=Ze,M=Ze;O=y(En(s,2,m)),k=y(En(s,0,m)),M=y(ln(s,2,m)),Q=y(ln(s,0,m)),l=y(l-M),h[s+908>>2]=y(Bi(s,2,(f|2|0)==2?O:l,m,m)),c=y(c-Q),h[s+912>>2]=y(Bi(s,0,(d|2|0)==2?k:c,B,m))}function Yv(s,l,c,f,d,m,B){s=s|0,l=y(l),c=y(c),f=f|0,d=d|0,m=y(m),B=y(B);var k=0,Q=Ze,O=Ze;return k=(f|0)==2,!(l<=y(0)&k)&&!(c<=y(0)&(d|0)==2)&&!((f|0)==1&(d|0)==1)?s=0:(Q=y(ln(s,0,m)),O=y(ln(s,2,m)),k=l<y(0)&k|(_t(l)|0),l=y(l-O),h[s+908>>2]=y(Bi(s,2,k?y(0):l,m,m)),l=y(c-Q),k=c<y(0)&(d|0)==2|(_t(c)|0),h[s+912>>2]=y(Bi(s,0,k?y(0):l,B,m)),s=1),s|0}function Cw(s,l){return s=s|0,l=l|0,OA(s)|0?s=fr(2,l)|0:s=0,s|0}function Ep(s,l,c){return s=s|0,l=l|0,c=y(c),c=y(oi(s,l,c)),y(c+y(Cr(s,l)))}function ww(s,l,c){return s=s|0,l=l|0,c=y(c),c=y(Mi(s,l,c)),y(c+y(yn(s,l)))}function En(s,l,c){s=s|0,l=l|0,c=y(c);var f=Ze;return f=y(Ep(s,l,c)),y(f+y(ww(s,l,c)))}function Tm(s){return s=s|0,n[s+24>>2]|0?s=0:y(rs(s))!=y(0)?s=1:s=y(js(s))!=y(0),s|0}function rs(s){s=s|0;var l=Ze;if(n[s+944>>2]|0){if(l=y(h[s+44>>2]),_t(l)|0)return l=y(h[s+40>>2]),s=l>y(0)&((_t(l)|0)^1),y(s?l:y(0))}else l=y(0);return y(l)}function js(s){s=s|0;var l=Ze,c=0,f=Ze;do if(n[s+944>>2]|0){if(l=y(h[s+48>>2]),_t(l)|0){if(c=o[(n[s+976>>2]|0)+2>>0]|0,c<<24>>24==0&&(f=y(h[s+40>>2]),f<y(0)&((_t(f)|0)^1))){l=y(-f);break}l=c<<24>>24?y(1):y(0)}}else l=y(0);while(0);return y(l)}function Bu(s){s=s|0;var l=0,c=0;if(zm(s+400|0,0,540)|0,o[s+985>>0]=1,$(s),c=wi(s)|0,c|0){l=s+948|0,s=0;do Bu(n[(n[l>>2]|0)+(s<<2)>>2]|0),s=s+1|0;while((s|0)!=(c|0))}}function Rm(s,l,c,f,d,m,B,k,Q,O){s=s|0,l=l|0,c=y(c),f=f|0,d=y(d),m=y(m),B=y(B),k=k|0,Q=Q|0,O=O|0;var M=0,q=Ze,se=0,Ge=0,Oe=Ze,Fe=Ze,et=0,Xe=Ze,at=0,Ue=Ze,qe=0,Lt=0,Or=0,or=0,Xt=0,Pr=0,Nr=0,ir=0,bn=0,go=0;bn=C,C=C+16|0,Or=bn+12|0,or=bn+8|0,Xt=bn+4|0,Pr=bn,ir=fr(n[s+4>>2]|0,Q)|0,qe=he(ir)|0,q=y(Gr(Iw(l)|0,qe?m:B)),Lt=ts(l,2,m)|0,Nr=ts(l,0,B)|0;do if(!(_t(q)|0)&&!(_t(qe?c:d)|0)){if(M=l+504|0,!(_t(y(h[M>>2]))|0)&&(!(Bw(n[l+976>>2]|0,0)|0)||(n[l+500>>2]|0)==(n[2278]|0)))break;h[M>>2]=y(_n(q,y(En(l,ir,m))))}else se=7;while(0);do if((se|0)==7){if(at=qe^1,!(at|Lt^1)){B=y(Gr(n[l+992>>2]|0,m)),h[l+504>>2]=y(_n(B,y(En(l,2,m))));break}if(!(qe|Nr^1)){B=y(Gr(n[l+996>>2]|0,B)),h[l+504>>2]=y(_n(B,y(En(l,0,m))));break}h[Or>>2]=y(Ae),h[or>>2]=y(Ae),n[Xt>>2]=0,n[Pr>>2]=0,Xe=y(ln(l,2,m)),Ue=y(ln(l,0,m)),Lt?(Oe=y(Xe+y(Gr(n[l+992>>2]|0,m))),h[Or>>2]=Oe,n[Xt>>2]=1,Ge=1):(Ge=0,Oe=y(Ae)),Nr?(q=y(Ue+y(Gr(n[l+996>>2]|0,B))),h[or>>2]=q,n[Pr>>2]=1,M=1):(M=0,q=y(Ae)),se=n[s+32>>2]|0,qe&(se|0)==2?se=2:_t(Oe)|0&&!(_t(c)|0)&&(h[Or>>2]=c,n[Xt>>2]=2,Ge=2,Oe=c),!((se|0)==2&at)&&_t(q)|0&&!(_t(d)|0)&&(h[or>>2]=d,n[Pr>>2]=2,M=2,q=d),Fe=y(h[l+396>>2]),et=_t(Fe)|0;do if(et)se=Ge;else{if((Ge|0)==1&at){h[or>>2]=y(y(Oe-Xe)/Fe),n[Pr>>2]=1,M=1,se=1;break}qe&(M|0)==1?(h[Or>>2]=y(Fe*y(q-Ue)),n[Xt>>2]=1,M=1,se=1):se=Ge}while(0);go=_t(c)|0,Ge=(ha(s,l)|0)!=4,!(qe|Lt|((f|0)!=1|go)|(Ge|(se|0)==1))&&(h[Or>>2]=c,n[Xt>>2]=1,!et)&&(h[or>>2]=y(y(c-Xe)/Fe),n[Pr>>2]=1,M=1),!(Nr|at|((k|0)!=1|(_t(d)|0))|(Ge|(M|0)==1))&&(h[or>>2]=d,n[Pr>>2]=1,!et)&&(h[Or>>2]=y(Fe*y(d-Ue)),n[Xt>>2]=1),yr(l,2,m,m,Xt,Or),yr(l,0,B,m,Pr,or),c=y(h[Or>>2]),d=y(h[or>>2]),fa(l,c,d,Q,n[Xt>>2]|0,n[Pr>>2]|0,m,B,0,3565,O)|0,B=y(h[l+908+(n[976+(ir<<2)>>2]<<2)>>2]),h[l+504>>2]=y(_n(B,y(En(l,ir,m))))}while(0);n[l+500>>2]=n[2278],C=bn}function Bi(s,l,c,f,d){return s=s|0,l=l|0,c=y(c),f=y(f),d=y(d),f=y(MA(s,l,c,f)),y(_n(f,y(En(s,l,d))))}function ha(s,l){return s=s|0,l=l|0,l=l+20|0,l=n[((n[l>>2]|0)==0?s+16|0:l)>>2]|0,(l|0)==5&&OA(n[s+4>>2]|0)|0&&(l=1),l|0}function vl(s,l){return s=s|0,l=l|0,he(l)|0&&(n[s+96>>2]|0)!=0?l=4:l=n[1040+(l<<2)>>2]|0,s+60+(l<<3)|0}function Pc(s,l){return s=s|0,l=l|0,he(l)|0&&(n[s+104>>2]|0)!=0?l=5:l=n[1e3+(l<<2)>>2]|0,s+60+(l<<3)|0}function yr(s,l,c,f,d,m){switch(s=s|0,l=l|0,c=y(c),f=y(f),d=d|0,m=m|0,c=y(Gr(s+380+(n[976+(l<<2)>>2]<<3)|0,c)),c=y(c+y(ln(s,l,f))),n[d>>2]|0){case 2:case 1:{d=_t(c)|0,f=y(h[m>>2]),h[m>>2]=d|f<c?f:c;break}case 0:{_t(c)|0||(n[d>>2]=2,h[m>>2]=c);break}default:}}function gi(s,l){return s=s|0,l=l|0,s=s+132|0,he(l)|0&&(n[(Fn(s,4,948)|0)+4>>2]|0)!=0?s=1:s=(n[(Fn(s,n[1040+(l<<2)>>2]|0,948)|0)+4>>2]|0)!=0,s|0}function Mr(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0;return s=s+132|0,he(l)|0&&(f=Fn(s,4,948)|0,(n[f+4>>2]|0)!=0)?d=4:(f=Fn(s,n[1040+(l<<2)>>2]|0,948)|0,n[f+4>>2]|0?d=4:c=y(0)),(d|0)==4&&(c=y(Gr(f,c))),y(c)}function ns(s,l,c){s=s|0,l=l|0,c=y(c);var f=Ze;return f=y(h[s+908+(n[976+(l<<2)>>2]<<2)>>2]),f=y(f+y(V(s,l,c))),y(f+y(re(s,l,c)))}function Yi(s){s=s|0;var l=0,c=0,f=0;e:do if(OA(n[s+4>>2]|0)|0)l=0;else if((n[s+16>>2]|0)!=5)if(c=wi(s)|0,!c)l=0;else for(l=0;;){if(f=gs(s,l)|0,(n[f+24>>2]|0)==0&&(n[f+20>>2]|0)==5){l=1;break e}if(l=l+1|0,l>>>0>=c>>>0){l=0;break}}else l=1;while(0);return l|0}function Nm(s,l){s=s|0,l=l|0;var c=Ze;return c=y(h[s+908+(n[976+(l<<2)>>2]<<2)>>2]),c>=y(0)&((_t(c)|0)^1)|0}function Ya(s){s=s|0;var l=Ze,c=0,f=0,d=0,m=0,B=0,k=0,Q=Ze;if(c=n[s+968>>2]|0,c)Q=y(h[s+908>>2]),l=y(h[s+912>>2]),l=y(v7[c&0](s,Q,l)),Un(s,(_t(l)|0)^1,3573);else{m=wi(s)|0;do if(m|0){for(c=0,d=0;;){if(f=gs(s,d)|0,n[f+940>>2]|0){B=8;break}if((n[f+24>>2]|0)!=1)if(k=(ha(s,f)|0)==5,k){c=f;break}else c=(c|0)==0?f:c;if(d=d+1|0,d>>>0>=m>>>0){B=8;break}}if((B|0)==8&&!c)break;return l=y(Ya(c)),y(l+y(h[c+404>>2]))}while(0);l=y(h[s+912>>2])}return y(l)}function MA(s,l,c,f){s=s|0,l=l|0,c=y(c),f=y(f);var d=Ze,m=0;return OA(l)|0?(l=1,m=3):he(l)|0?(l=0,m=3):(f=y(Ae),d=y(Ae)),(m|0)==3&&(d=y(Gr(s+364+(l<<3)|0,f)),f=y(Gr(s+380+(l<<3)|0,f))),m=f<c&(f>=y(0)&((_t(f)|0)^1)),c=m?f:c,m=d>=y(0)&((_t(d)|0)^1)&c<d,y(m?d:c)}function Lm(s,l,c,f,d,m,B){s=s|0,l=l|0,c=y(c),f=f|0,d=y(d),m=m|0,B=B|0;var k=Ze,Q=Ze,O=0,M=0,q=Ze,se=Ze,Ge=Ze,Oe=0,Fe=0,et=0,Xe=0,at=Ze,Ue=0;et=fr(n[s+4>>2]|0,m)|0,Oe=Cw(et,m)|0,Fe=he(et)|0,q=y(ln(l,2,c)),se=y(ln(l,0,c)),ts(l,2,c)|0?k=y(q+y(Gr(n[l+992>>2]|0,c))):gi(l,2)|0&&sr(l,2)|0?(k=y(h[s+908>>2]),Q=y(Cr(s,2)),Q=y(k-y(Q+y(yn(s,2)))),k=y(Mr(l,2,c)),k=y(Bi(l,2,y(Q-y(k+y(vu(l,2,c)))),c,c))):k=y(Ae),ts(l,0,d)|0?Q=y(se+y(Gr(n[l+996>>2]|0,d))):gi(l,0)|0&&sr(l,0)|0?(Q=y(h[s+912>>2]),at=y(Cr(s,0)),at=y(Q-y(at+y(yn(s,0)))),Q=y(Mr(l,0,d)),Q=y(Bi(l,0,y(at-y(Q+y(vu(l,0,d)))),d,c))):Q=y(Ae),O=_t(k)|0,M=_t(Q)|0;do if(O^M&&(Ge=y(h[l+396>>2]),!(_t(Ge)|0)))if(O){k=y(q+y(y(Q-se)*Ge));break}else{at=y(se+y(y(k-q)/Ge)),Q=M?at:Q;break}while(0);M=_t(k)|0,O=_t(Q)|0,M|O&&(Ue=(M^1)&1,f=c>y(0)&((f|0)!=0&M),k=Fe?k:f?c:k,fa(l,k,Q,m,Fe?Ue:f?2:Ue,M&(O^1)&1,k,Q,0,3623,B)|0,k=y(h[l+908>>2]),k=y(k+y(ln(l,2,c))),Q=y(h[l+912>>2]),Q=y(Q+y(ln(l,0,c)))),fa(l,k,Q,m,1,1,k,Q,1,3635,B)|0,sr(l,et)|0&&!(gi(l,et)|0)?(Ue=n[976+(et<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(at-y(h[l+908+(Ue<<2)>>2])),at=y(at-y(yn(s,et))),at=y(at-y(re(l,et,c))),at=y(at-y(vu(l,et,Fe?c:d))),h[l+400+(n[1040+(et<<2)>>2]<<2)>>2]=at):Xe=21;do if((Xe|0)==21){if(!(gi(l,et)|0)&&(n[s+8>>2]|0)==1){Ue=n[976+(et<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(y(at-y(h[l+908+(Ue<<2)>>2]))*y(.5)),h[l+400+(n[1040+(et<<2)>>2]<<2)>>2]=at;break}!(gi(l,et)|0)&&(n[s+8>>2]|0)==2&&(Ue=n[976+(et<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(at-y(h[l+908+(Ue<<2)>>2])),h[l+400+(n[1040+(et<<2)>>2]<<2)>>2]=at)}while(0);sr(l,Oe)|0&&!(gi(l,Oe)|0)?(Ue=n[976+(Oe<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(at-y(h[l+908+(Ue<<2)>>2])),at=y(at-y(yn(s,Oe))),at=y(at-y(re(l,Oe,c))),at=y(at-y(vu(l,Oe,Fe?d:c))),h[l+400+(n[1040+(Oe<<2)>>2]<<2)>>2]=at):Xe=30;do if((Xe|0)==30&&!(gi(l,Oe)|0)){if((ha(s,l)|0)==2){Ue=n[976+(Oe<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(y(at-y(h[l+908+(Ue<<2)>>2]))*y(.5)),h[l+400+(n[1040+(Oe<<2)>>2]<<2)>>2]=at;break}Ue=(ha(s,l)|0)==3,Ue^(n[s+28>>2]|0)==2&&(Ue=n[976+(Oe<<2)>>2]|0,at=y(h[s+908+(Ue<<2)>>2]),at=y(at-y(h[l+908+(Ue<<2)>>2])),h[l+400+(n[1040+(Oe<<2)>>2]<<2)>>2]=at)}while(0)}function Cp(s,l,c){s=s|0,l=l|0,c=c|0;var f=Ze,d=0;d=n[976+(c<<2)>>2]|0,f=y(h[l+908+(d<<2)>>2]),f=y(y(h[s+908+(d<<2)>>2])-f),f=y(f-y(h[l+400+(n[1040+(c<<2)>>2]<<2)>>2])),h[l+400+(n[1e3+(c<<2)>>2]<<2)>>2]=f}function OA(s){return s=s|0,(s|1|0)==1|0}function Iw(s){s=s|0;var l=Ze;switch(n[s+56>>2]|0){case 0:case 3:{l=y(h[s+40>>2]),l>y(0)&((_t(l)|0)^1)?s=o[(n[s+976>>2]|0)+2>>0]|0?1056:992:s=1056;break}default:s=s+52|0}return s|0}function Bw(s,l){return s=s|0,l=l|0,(o[s+l>>0]|0)!=0|0}function sr(s,l){return s=s|0,l=l|0,s=s+132|0,he(l)|0&&(n[(Fn(s,5,948)|0)+4>>2]|0)!=0?s=1:s=(n[(Fn(s,n[1e3+(l<<2)>>2]|0,948)|0)+4>>2]|0)!=0,s|0}function vu(s,l,c){s=s|0,l=l|0,c=y(c);var f=0,d=0;return s=s+132|0,he(l)|0&&(f=Fn(s,5,948)|0,(n[f+4>>2]|0)!=0)?d=4:(f=Fn(s,n[1e3+(l<<2)>>2]|0,948)|0,n[f+4>>2]|0?d=4:c=y(0)),(d|0)==4&&(c=y(Gr(f,c))),y(c)}function Mm(s,l,c){return s=s|0,l=l|0,c=y(c),gi(s,l)|0?c=y(Mr(s,l,c)):c=y(-y(vu(s,l,c))),y(c)}function Du(s){return s=y(s),h[v>>2]=s,n[v>>2]|0|0}function wp(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>1073741823)Tt();else{d=Vt(l<<2)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<2)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<2)}function Ig(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>2)<<2)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function UA(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-4-l|0)>>>2)<<2)),s=n[s>>2]|0,s|0&&gt(s)}function _A(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;if(B=s+4|0,k=n[B>>2]|0,d=k-f|0,m=d>>2,s=l+(m<<2)|0,s>>>0<c>>>0){f=k;do n[f>>2]=n[s>>2],s=s+4|0,f=(n[B>>2]|0)+4|0,n[B>>2]=f;while(s>>>0<c>>>0)}m|0&&Mw(k+(0-m<<2)|0,l|0,d|0)|0}function Bg(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0;return k=l+4|0,Q=n[k>>2]|0,d=n[s>>2]|0,B=c,m=B-d|0,f=Q+(0-(m>>2)<<2)|0,n[k>>2]=f,(m|0)>0&&Dr(f|0,d|0,m|0)|0,d=s+4|0,m=l+8|0,f=(n[d>>2]|0)-B|0,(f|0)>0&&(Dr(n[m>>2]|0,c|0,f|0)|0,n[m>>2]=(n[m>>2]|0)+(f>>>2<<2)),B=n[s>>2]|0,n[s>>2]=n[k>>2],n[k>>2]=B,B=n[d>>2]|0,n[d>>2]=n[m>>2],n[m>>2]=B,B=s+8|0,c=l+12|0,s=n[B>>2]|0,n[B>>2]=n[c>>2],n[c>>2]=s,n[l>>2]=n[k>>2],Q|0}function vw(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;if(B=n[l>>2]|0,m=n[c>>2]|0,(B|0)!=(m|0)){d=s+8|0,c=((m+-4-B|0)>>>2)+1|0,s=B,f=n[d>>2]|0;do n[f>>2]=n[s>>2],f=(n[d>>2]|0)+4|0,n[d>>2]=f,s=s+4|0;while((s|0)!=(m|0));n[l>>2]=B+(c<<2)}}function Om(){dc()}function ga(){var s=0;return s=Vt(4)|0,HA(s),s|0}function HA(s){s=s|0,n[s>>2]=ys()|0}function Sc(s){s=s|0,s|0&&(vg(s),gt(s))}function vg(s){s=s|0,tt(n[s>>2]|0)}function Um(s,l,c){s=s|0,l=l|0,c=c|0,Ga(n[s>>2]|0,l,c)}function fo(s,l){s=s|0,l=y(l),pa(n[s>>2]|0,l)}function Wv(s,l){return s=s|0,l=l|0,Bw(n[s>>2]|0,l)|0}function Dw(){var s=0;return s=Vt(8)|0,Vv(s,0),s|0}function Vv(s,l){s=s|0,l=l|0,l?l=Ci(n[l>>2]|0)|0:l=co()|0,n[s>>2]=l,n[s+4>>2]=0,xi(l,s)}function pF(s){s=s|0;var l=0;return l=Vt(8)|0,Vv(l,s),l|0}function Kv(s){s=s|0,s|0&&(Pu(s),gt(s))}function Pu(s){s=s|0;var l=0;la(n[s>>2]|0),l=s+4|0,s=n[l>>2]|0,n[l>>2]=0,s|0&&(jA(s),gt(s))}function jA(s){s=s|0,qA(s)}function qA(s){s=s|0,s=n[s>>2]|0,s|0&&PA(s|0)}function Pw(s){return s=s|0,jo(s)|0}function _m(s){s=s|0;var l=0,c=0;c=s+4|0,l=n[c>>2]|0,n[c>>2]=0,l|0&&(jA(l),gt(l)),_s(n[s>>2]|0)}function hF(s,l){s=s|0,l=l|0,Zr(n[s>>2]|0,n[l>>2]|0)}function gF(s,l){s=s|0,l=l|0,ca(n[s>>2]|0,l)}function Jv(s,l,c){s=s|0,l=l|0,c=+c,yu(n[s>>2]|0,l,y(c))}function zv(s,l,c){s=s|0,l=l|0,c=+c,Es(n[s>>2]|0,l,y(c))}function Sw(s,l){s=s|0,l=l|0,gu(n[s>>2]|0,l)}function Su(s,l){s=s|0,l=l|0,du(n[s>>2]|0,l)}function dF(s,l){s=s|0,l=l|0,QA(n[s>>2]|0,l)}function mF(s,l){s=s|0,l=l|0,bA(n[s>>2]|0,l)}function Ip(s,l){s=s|0,l=l|0,yc(n[s>>2]|0,l)}function yF(s,l){s=s|0,l=l|0,up(n[s>>2]|0,l)}function Xv(s,l,c){s=s|0,l=l|0,c=+c,Cc(n[s>>2]|0,l,y(c))}function GA(s,l,c){s=s|0,l=l|0,c=+c,G(n[s>>2]|0,l,y(c))}function EF(s,l){s=s|0,l=l|0,wl(n[s>>2]|0,l)}function CF(s,l){s=s|0,l=l|0,og(n[s>>2]|0,l)}function Zv(s,l){s=s|0,l=l|0,Ap(n[s>>2]|0,l)}function xw(s,l){s=s|0,l=+l,FA(n[s>>2]|0,y(l))}function bw(s,l){s=s|0,l=+l,Ha(n[s>>2]|0,y(l))}function wF(s,l){s=s|0,l=+l,Gi(n[s>>2]|0,y(l))}function IF(s,l){s=s|0,l=+l,Hs(n[s>>2]|0,y(l))}function Dl(s,l){s=s|0,l=+l,mu(n[s>>2]|0,y(l))}function kw(s,l){s=s|0,l=+l,mw(n[s>>2]|0,y(l))}function BF(s,l){s=s|0,l=+l,TA(n[s>>2]|0,y(l))}function YA(s){s=s|0,fp(n[s>>2]|0)}function Hm(s,l){s=s|0,l=+l,Cs(n[s>>2]|0,y(l))}function xu(s,l){s=s|0,l=+l,cg(n[s>>2]|0,y(l))}function Qw(s){s=s|0,ug(n[s>>2]|0)}function Fw(s,l){s=s|0,l=+l,pp(n[s>>2]|0,y(l))}function vF(s,l){s=s|0,l=+l,Ic(n[s>>2]|0,y(l))}function $v(s,l){s=s|0,l=+l,Sm(n[s>>2]|0,y(l))}function WA(s,l){s=s|0,l=+l,fg(n[s>>2]|0,y(l))}function eD(s,l){s=s|0,l=+l,Cu(n[s>>2]|0,y(l))}function jm(s,l){s=s|0,l=+l,xm(n[s>>2]|0,y(l))}function tD(s,l){s=s|0,l=+l,wu(n[s>>2]|0,y(l))}function rD(s,l){s=s|0,l=+l,yw(n[s>>2]|0,y(l))}function qm(s,l){s=s|0,l=+l,Aa(n[s>>2]|0,y(l))}function nD(s,l,c){s=s|0,l=l|0,c=+c,Eu(n[s>>2]|0,l,y(c))}function DF(s,l,c){s=s|0,l=l|0,c=+c,bi(n[s>>2]|0,l,y(c))}function P(s,l,c){s=s|0,l=l|0,c=+c,wc(n[s>>2]|0,l,y(c))}function D(s){return s=s|0,sg(n[s>>2]|0)|0}function R(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;f=C,C=C+16|0,d=f,Ec(d,n[l>>2]|0,c),j(s,d),C=f}function j(s,l){s=s|0,l=l|0,Y(s,n[l+4>>2]|0,+y(h[l>>2]))}function Y(s,l,c){s=s|0,l=l|0,c=+c,n[s>>2]=l,E[s+8>>3]=c}function fe(s){return s=s|0,ig(n[s>>2]|0)|0}function ve(s){return s=s|0,uo(n[s>>2]|0)|0}function vt(s){return s=s|0,mc(n[s>>2]|0)|0}function wt(s){return s=s|0,kA(n[s>>2]|0)|0}function bt(s){return s=s|0,Pm(n[s>>2]|0)|0}function _r(s){return s=s|0,ng(n[s>>2]|0)|0}function is(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;f=C,C=C+16|0,d=f,Dt(d,n[l>>2]|0,c),j(s,d),C=f}function di(s){return s=s|0,$n(n[s>>2]|0)|0}function po(s){return s=s|0,ag(n[s>>2]|0)|0}function VA(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,ua(f,n[l>>2]|0),j(s,f),C=c}function Yo(s){return s=s|0,+ +y(qi(n[s>>2]|0))}function rt(s){return s=s|0,+ +y(es(n[s>>2]|0))}function Ke(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,Br(f,n[l>>2]|0),j(s,f),C=c}function At(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,Ag(f,n[l>>2]|0),j(s,f),C=c}function Wt(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,Ct(f,n[l>>2]|0),j(s,f),C=c}function vr(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,pg(f,n[l>>2]|0),j(s,f),C=c}function Sn(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,hg(f,n[l>>2]|0),j(s,f),C=c}function Fr(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,bm(f,n[l>>2]|0),j(s,f),C=c}function xn(s){return s=s|0,+ +y(Bc(n[s>>2]|0))}function ai(s,l){return s=s|0,l=l|0,+ +y(lg(n[s>>2]|0,l))}function en(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;f=C,C=C+16|0,d=f,ct(d,n[l>>2]|0,c),j(s,d),C=f}function ho(s,l,c){s=s|0,l=l|0,c=c|0,nr(n[s>>2]|0,n[l>>2]|0,c)}function PF(s,l){s=s|0,l=l|0,ms(n[s>>2]|0,n[l>>2]|0)}function sve(s){return s=s|0,wi(n[s>>2]|0)|0}function ove(s){return s=s|0,s=pt(n[s>>2]|0)|0,s?s=Pw(s)|0:s=0,s|0}function ave(s,l){return s=s|0,l=l|0,s=gs(n[s>>2]|0,l)|0,s?s=Pw(s)|0:s=0,s|0}function lve(s,l){s=s|0,l=l|0;var c=0,f=0;f=Vt(4)|0,$G(f,l),c=s+4|0,l=n[c>>2]|0,n[c>>2]=f,l|0&&(jA(l),gt(l)),It(n[s>>2]|0,1)}function $G(s,l){s=s|0,l=l|0,Cve(s,l)}function cve(s,l,c,f,d,m){s=s|0,l=l|0,c=y(c),f=f|0,d=y(d),m=m|0;var B=0,k=0;B=C,C=C+16|0,k=B,uve(k,jo(l)|0,+c,f,+d,m),h[s>>2]=y(+E[k>>3]),h[s+4>>2]=y(+E[k+8>>3]),C=B}function uve(s,l,c,f,d,m){s=s|0,l=l|0,c=+c,f=f|0,d=+d,m=m|0;var B=0,k=0,Q=0,O=0,M=0;B=C,C=C+32|0,M=B+8|0,O=B+20|0,Q=B,k=B+16|0,E[M>>3]=c,n[O>>2]=f,E[Q>>3]=d,n[k>>2]=m,Ave(s,n[l+4>>2]|0,M,O,Q,k),C=B}function Ave(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0,k=0;B=C,C=C+16|0,k=B,Va(k),l=da(l)|0,fve(s,l,+E[c>>3],n[f>>2]|0,+E[d>>3],n[m>>2]|0),Ka(k),C=B}function da(s){return s=s|0,n[s>>2]|0}function fve(s,l,c,f,d,m){s=s|0,l=l|0,c=+c,f=f|0,d=+d,m=m|0;var B=0;B=Pl(pve()|0)|0,c=+KA(c),f=SF(f)|0,d=+KA(d),hve(s,hi(0,B|0,l|0,+c,f|0,+d,SF(m)|0)|0)}function pve(){var s=0;return o[7608]|0||(yve(9120),s=7608,n[s>>2]=1,n[s+4>>2]=0),9120}function Pl(s){return s=s|0,n[s+8>>2]|0}function KA(s){return s=+s,+ +xF(s)}function SF(s){return s=s|0,t5(s)|0}function hve(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;d=C,C=C+32|0,c=d,f=l,f&1?(gve(c,0),ii(f|0,c|0)|0,dve(s,c),mve(c)):(n[s>>2]=n[l>>2],n[s+4>>2]=n[l+4>>2],n[s+8>>2]=n[l+8>>2],n[s+12>>2]=n[l+12>>2]),C=d}function gve(s,l){s=s|0,l=l|0,e5(s,l),n[s+8>>2]=0,o[s+24>>0]=0}function dve(s,l){s=s|0,l=l|0,l=l+8|0,n[s>>2]=n[l>>2],n[s+4>>2]=n[l+4>>2],n[s+8>>2]=n[l+8>>2],n[s+12>>2]=n[l+12>>2]}function mve(s){s=s|0,o[s+24>>0]=0}function e5(s,l){s=s|0,l=l|0,n[s>>2]=l}function t5(s){return s=s|0,s|0}function xF(s){return s=+s,+s}function yve(s){s=s|0,Sl(s,Eve()|0,4)}function Eve(){return 1064}function Sl(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c,n[s+8>>2]=cp(l|0,c+1|0)|0}function Cve(s,l){s=s|0,l=l|0,l=n[l>>2]|0,n[s>>2]=l,yl(l|0)}function wve(s){s=s|0;var l=0,c=0;c=s+4|0,l=n[c>>2]|0,n[c>>2]=0,l|0&&(jA(l),gt(l)),It(n[s>>2]|0,0)}function Ive(s){s=s|0,Rt(n[s>>2]|0)}function Bve(s){return s=s|0,er(n[s>>2]|0)|0}function vve(s,l,c,f){s=s|0,l=+l,c=+c,f=f|0,vc(n[s>>2]|0,y(l),y(c),f)}function Dve(s){return s=s|0,+ +y(Il(n[s>>2]|0))}function Pve(s){return s=s|0,+ +y(gg(n[s>>2]|0))}function Sve(s){return s=s|0,+ +y(Iu(n[s>>2]|0))}function xve(s){return s=s|0,+ +y(RA(n[s>>2]|0))}function bve(s){return s=s|0,+ +y(hp(n[s>>2]|0))}function kve(s){return s=s|0,+ +y(ja(n[s>>2]|0))}function Qve(s,l){s=s|0,l=l|0,E[s>>3]=+y(Il(n[l>>2]|0)),E[s+8>>3]=+y(gg(n[l>>2]|0)),E[s+16>>3]=+y(Iu(n[l>>2]|0)),E[s+24>>3]=+y(RA(n[l>>2]|0)),E[s+32>>3]=+y(hp(n[l>>2]|0)),E[s+40>>3]=+y(ja(n[l>>2]|0))}function Fve(s,l){return s=s|0,l=l|0,+ +y(dg(n[s>>2]|0,l))}function Tve(s,l){return s=s|0,l=l|0,+ +y(gp(n[s>>2]|0,l))}function Rve(s,l){return s=s|0,l=l|0,+ +y(qo(n[s>>2]|0,l))}function Nve(){return Pn()|0}function Lve(){Mve(),Ove(),Uve(),_ve(),Hve(),jve()}function Mve(){HNe(11713,4938,1)}function Ove(){oNe(10448)}function Uve(){HRe(10408)}function _ve(){uRe(10324)}function Hve(){yFe(10096)}function jve(){qve(9132)}function qve(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0,et=0,Xe=0,at=0,Ue=0,qe=0,Lt=0,Or=0,or=0,Xt=0,Pr=0,Nr=0,ir=0,bn=0,go=0,mo=0,yo=0,ya=0,Qp=0,Fp=0,xl=0,Tp=0,Fu=0,Tu=0,Rp=0,Np=0,Lp=0,Xr=0,bl=0,Mp=0,bc=0,Op=0,Up=0,Ru=0,Nu=0,kc=0,qs=0,za=0,Wo=0,kl=0,rf=0,nf=0,Lu=0,sf=0,of=0,Gs=0,vs=0,Ql=0,Tn=0,af=0,Eo=0,Qc=0,Co=0,Fc=0,lf=0,cf=0,Tc=0,Ys=0,Fl=0,uf=0,Af=0,ff=0,br=0,Jn=0,Ds=0,wo=0,Ws=0,Tr=0,ur=0,Tl=0;l=C,C=C+672|0,c=l+656|0,Tl=l+648|0,ur=l+640|0,Tr=l+632|0,Ws=l+624|0,wo=l+616|0,Ds=l+608|0,Jn=l+600|0,br=l+592|0,ff=l+584|0,Af=l+576|0,uf=l+568|0,Fl=l+560|0,Ys=l+552|0,Tc=l+544|0,cf=l+536|0,lf=l+528|0,Fc=l+520|0,Co=l+512|0,Qc=l+504|0,Eo=l+496|0,af=l+488|0,Tn=l+480|0,Ql=l+472|0,vs=l+464|0,Gs=l+456|0,of=l+448|0,sf=l+440|0,Lu=l+432|0,nf=l+424|0,rf=l+416|0,kl=l+408|0,Wo=l+400|0,za=l+392|0,qs=l+384|0,kc=l+376|0,Nu=l+368|0,Ru=l+360|0,Up=l+352|0,Op=l+344|0,bc=l+336|0,Mp=l+328|0,bl=l+320|0,Xr=l+312|0,Lp=l+304|0,Np=l+296|0,Rp=l+288|0,Tu=l+280|0,Fu=l+272|0,Tp=l+264|0,xl=l+256|0,Fp=l+248|0,Qp=l+240|0,ya=l+232|0,yo=l+224|0,mo=l+216|0,go=l+208|0,bn=l+200|0,ir=l+192|0,Nr=l+184|0,Pr=l+176|0,Xt=l+168|0,or=l+160|0,Or=l+152|0,Lt=l+144|0,qe=l+136|0,Ue=l+128|0,at=l+120|0,Xe=l+112|0,et=l+104|0,Fe=l+96|0,Oe=l+88|0,Ge=l+80|0,se=l+72|0,q=l+64|0,M=l+56|0,O=l+48|0,Q=l+40|0,k=l+32|0,B=l+24|0,m=l+16|0,d=l+8|0,f=l,Gve(s,3646),Yve(s,3651,2)|0,Wve(s,3665,2)|0,Vve(s,3682,18)|0,n[Tl>>2]=19,n[Tl+4>>2]=0,n[c>>2]=n[Tl>>2],n[c+4>>2]=n[Tl+4>>2],Tw(s,3690,c)|0,n[ur>>2]=1,n[ur+4>>2]=0,n[c>>2]=n[ur>>2],n[c+4>>2]=n[ur+4>>2],Kve(s,3696,c)|0,n[Tr>>2]=2,n[Tr+4>>2]=0,n[c>>2]=n[Tr>>2],n[c+4>>2]=n[Tr+4>>2],bu(s,3706,c)|0,n[Ws>>2]=1,n[Ws+4>>2]=0,n[c>>2]=n[Ws>>2],n[c+4>>2]=n[Ws+4>>2],Dg(s,3722,c)|0,n[wo>>2]=2,n[wo+4>>2]=0,n[c>>2]=n[wo>>2],n[c+4>>2]=n[wo+4>>2],Dg(s,3734,c)|0,n[Ds>>2]=3,n[Ds+4>>2]=0,n[c>>2]=n[Ds>>2],n[c+4>>2]=n[Ds+4>>2],bu(s,3753,c)|0,n[Jn>>2]=4,n[Jn+4>>2]=0,n[c>>2]=n[Jn>>2],n[c+4>>2]=n[Jn+4>>2],bu(s,3769,c)|0,n[br>>2]=5,n[br+4>>2]=0,n[c>>2]=n[br>>2],n[c+4>>2]=n[br+4>>2],bu(s,3783,c)|0,n[ff>>2]=6,n[ff+4>>2]=0,n[c>>2]=n[ff>>2],n[c+4>>2]=n[ff+4>>2],bu(s,3796,c)|0,n[Af>>2]=7,n[Af+4>>2]=0,n[c>>2]=n[Af>>2],n[c+4>>2]=n[Af+4>>2],bu(s,3813,c)|0,n[uf>>2]=8,n[uf+4>>2]=0,n[c>>2]=n[uf>>2],n[c+4>>2]=n[uf+4>>2],bu(s,3825,c)|0,n[Fl>>2]=3,n[Fl+4>>2]=0,n[c>>2]=n[Fl>>2],n[c+4>>2]=n[Fl+4>>2],Dg(s,3843,c)|0,n[Ys>>2]=4,n[Ys+4>>2]=0,n[c>>2]=n[Ys>>2],n[c+4>>2]=n[Ys+4>>2],Dg(s,3853,c)|0,n[Tc>>2]=9,n[Tc+4>>2]=0,n[c>>2]=n[Tc>>2],n[c+4>>2]=n[Tc+4>>2],bu(s,3870,c)|0,n[cf>>2]=10,n[cf+4>>2]=0,n[c>>2]=n[cf>>2],n[c+4>>2]=n[cf+4>>2],bu(s,3884,c)|0,n[lf>>2]=11,n[lf+4>>2]=0,n[c>>2]=n[lf>>2],n[c+4>>2]=n[lf+4>>2],bu(s,3896,c)|0,n[Fc>>2]=1,n[Fc+4>>2]=0,n[c>>2]=n[Fc>>2],n[c+4>>2]=n[Fc+4>>2],Is(s,3907,c)|0,n[Co>>2]=2,n[Co+4>>2]=0,n[c>>2]=n[Co>>2],n[c+4>>2]=n[Co+4>>2],Is(s,3915,c)|0,n[Qc>>2]=3,n[Qc+4>>2]=0,n[c>>2]=n[Qc>>2],n[c+4>>2]=n[Qc+4>>2],Is(s,3928,c)|0,n[Eo>>2]=4,n[Eo+4>>2]=0,n[c>>2]=n[Eo>>2],n[c+4>>2]=n[Eo+4>>2],Is(s,3948,c)|0,n[af>>2]=5,n[af+4>>2]=0,n[c>>2]=n[af>>2],n[c+4>>2]=n[af+4>>2],Is(s,3960,c)|0,n[Tn>>2]=6,n[Tn+4>>2]=0,n[c>>2]=n[Tn>>2],n[c+4>>2]=n[Tn+4>>2],Is(s,3974,c)|0,n[Ql>>2]=7,n[Ql+4>>2]=0,n[c>>2]=n[Ql>>2],n[c+4>>2]=n[Ql+4>>2],Is(s,3983,c)|0,n[vs>>2]=20,n[vs+4>>2]=0,n[c>>2]=n[vs>>2],n[c+4>>2]=n[vs+4>>2],Tw(s,3999,c)|0,n[Gs>>2]=8,n[Gs+4>>2]=0,n[c>>2]=n[Gs>>2],n[c+4>>2]=n[Gs+4>>2],Is(s,4012,c)|0,n[of>>2]=9,n[of+4>>2]=0,n[c>>2]=n[of>>2],n[c+4>>2]=n[of+4>>2],Is(s,4022,c)|0,n[sf>>2]=21,n[sf+4>>2]=0,n[c>>2]=n[sf>>2],n[c+4>>2]=n[sf+4>>2],Tw(s,4039,c)|0,n[Lu>>2]=10,n[Lu+4>>2]=0,n[c>>2]=n[Lu>>2],n[c+4>>2]=n[Lu+4>>2],Is(s,4053,c)|0,n[nf>>2]=11,n[nf+4>>2]=0,n[c>>2]=n[nf>>2],n[c+4>>2]=n[nf+4>>2],Is(s,4065,c)|0,n[rf>>2]=12,n[rf+4>>2]=0,n[c>>2]=n[rf>>2],n[c+4>>2]=n[rf+4>>2],Is(s,4084,c)|0,n[kl>>2]=13,n[kl+4>>2]=0,n[c>>2]=n[kl>>2],n[c+4>>2]=n[kl+4>>2],Is(s,4097,c)|0,n[Wo>>2]=14,n[Wo+4>>2]=0,n[c>>2]=n[Wo>>2],n[c+4>>2]=n[Wo+4>>2],Is(s,4117,c)|0,n[za>>2]=15,n[za+4>>2]=0,n[c>>2]=n[za>>2],n[c+4>>2]=n[za+4>>2],Is(s,4129,c)|0,n[qs>>2]=16,n[qs+4>>2]=0,n[c>>2]=n[qs>>2],n[c+4>>2]=n[qs+4>>2],Is(s,4148,c)|0,n[kc>>2]=17,n[kc+4>>2]=0,n[c>>2]=n[kc>>2],n[c+4>>2]=n[kc+4>>2],Is(s,4161,c)|0,n[Nu>>2]=18,n[Nu+4>>2]=0,n[c>>2]=n[Nu>>2],n[c+4>>2]=n[Nu+4>>2],Is(s,4181,c)|0,n[Ru>>2]=5,n[Ru+4>>2]=0,n[c>>2]=n[Ru>>2],n[c+4>>2]=n[Ru+4>>2],Dg(s,4196,c)|0,n[Up>>2]=6,n[Up+4>>2]=0,n[c>>2]=n[Up>>2],n[c+4>>2]=n[Up+4>>2],Dg(s,4206,c)|0,n[Op>>2]=7,n[Op+4>>2]=0,n[c>>2]=n[Op>>2],n[c+4>>2]=n[Op+4>>2],Dg(s,4217,c)|0,n[bc>>2]=3,n[bc+4>>2]=0,n[c>>2]=n[bc>>2],n[c+4>>2]=n[bc+4>>2],JA(s,4235,c)|0,n[Mp>>2]=1,n[Mp+4>>2]=0,n[c>>2]=n[Mp>>2],n[c+4>>2]=n[Mp+4>>2],bF(s,4251,c)|0,n[bl>>2]=4,n[bl+4>>2]=0,n[c>>2]=n[bl>>2],n[c+4>>2]=n[bl+4>>2],JA(s,4263,c)|0,n[Xr>>2]=5,n[Xr+4>>2]=0,n[c>>2]=n[Xr>>2],n[c+4>>2]=n[Xr+4>>2],JA(s,4279,c)|0,n[Lp>>2]=6,n[Lp+4>>2]=0,n[c>>2]=n[Lp>>2],n[c+4>>2]=n[Lp+4>>2],JA(s,4293,c)|0,n[Np>>2]=7,n[Np+4>>2]=0,n[c>>2]=n[Np>>2],n[c+4>>2]=n[Np+4>>2],JA(s,4306,c)|0,n[Rp>>2]=8,n[Rp+4>>2]=0,n[c>>2]=n[Rp>>2],n[c+4>>2]=n[Rp+4>>2],JA(s,4323,c)|0,n[Tu>>2]=9,n[Tu+4>>2]=0,n[c>>2]=n[Tu>>2],n[c+4>>2]=n[Tu+4>>2],JA(s,4335,c)|0,n[Fu>>2]=2,n[Fu+4>>2]=0,n[c>>2]=n[Fu>>2],n[c+4>>2]=n[Fu+4>>2],bF(s,4353,c)|0,n[Tp>>2]=12,n[Tp+4>>2]=0,n[c>>2]=n[Tp>>2],n[c+4>>2]=n[Tp+4>>2],Pg(s,4363,c)|0,n[xl>>2]=1,n[xl+4>>2]=0,n[c>>2]=n[xl>>2],n[c+4>>2]=n[xl+4>>2],zA(s,4376,c)|0,n[Fp>>2]=2,n[Fp+4>>2]=0,n[c>>2]=n[Fp>>2],n[c+4>>2]=n[Fp+4>>2],zA(s,4388,c)|0,n[Qp>>2]=13,n[Qp+4>>2]=0,n[c>>2]=n[Qp>>2],n[c+4>>2]=n[Qp+4>>2],Pg(s,4402,c)|0,n[ya>>2]=14,n[ya+4>>2]=0,n[c>>2]=n[ya>>2],n[c+4>>2]=n[ya+4>>2],Pg(s,4411,c)|0,n[yo>>2]=15,n[yo+4>>2]=0,n[c>>2]=n[yo>>2],n[c+4>>2]=n[yo+4>>2],Pg(s,4421,c)|0,n[mo>>2]=16,n[mo+4>>2]=0,n[c>>2]=n[mo>>2],n[c+4>>2]=n[mo+4>>2],Pg(s,4433,c)|0,n[go>>2]=17,n[go+4>>2]=0,n[c>>2]=n[go>>2],n[c+4>>2]=n[go+4>>2],Pg(s,4446,c)|0,n[bn>>2]=18,n[bn+4>>2]=0,n[c>>2]=n[bn>>2],n[c+4>>2]=n[bn+4>>2],Pg(s,4458,c)|0,n[ir>>2]=3,n[ir+4>>2]=0,n[c>>2]=n[ir>>2],n[c+4>>2]=n[ir+4>>2],zA(s,4471,c)|0,n[Nr>>2]=1,n[Nr+4>>2]=0,n[c>>2]=n[Nr>>2],n[c+4>>2]=n[Nr+4>>2],iD(s,4486,c)|0,n[Pr>>2]=10,n[Pr+4>>2]=0,n[c>>2]=n[Pr>>2],n[c+4>>2]=n[Pr+4>>2],JA(s,4496,c)|0,n[Xt>>2]=11,n[Xt+4>>2]=0,n[c>>2]=n[Xt>>2],n[c+4>>2]=n[Xt+4>>2],JA(s,4508,c)|0,n[or>>2]=3,n[or+4>>2]=0,n[c>>2]=n[or>>2],n[c+4>>2]=n[or+4>>2],bF(s,4519,c)|0,n[Or>>2]=4,n[Or+4>>2]=0,n[c>>2]=n[Or>>2],n[c+4>>2]=n[Or+4>>2],Jve(s,4530,c)|0,n[Lt>>2]=19,n[Lt+4>>2]=0,n[c>>2]=n[Lt>>2],n[c+4>>2]=n[Lt+4>>2],zve(s,4542,c)|0,n[qe>>2]=12,n[qe+4>>2]=0,n[c>>2]=n[qe>>2],n[c+4>>2]=n[qe+4>>2],Xve(s,4554,c)|0,n[Ue>>2]=13,n[Ue+4>>2]=0,n[c>>2]=n[Ue>>2],n[c+4>>2]=n[Ue+4>>2],Zve(s,4568,c)|0,n[at>>2]=2,n[at+4>>2]=0,n[c>>2]=n[at>>2],n[c+4>>2]=n[at+4>>2],$ve(s,4578,c)|0,n[Xe>>2]=20,n[Xe+4>>2]=0,n[c>>2]=n[Xe>>2],n[c+4>>2]=n[Xe+4>>2],eDe(s,4587,c)|0,n[et>>2]=22,n[et+4>>2]=0,n[c>>2]=n[et>>2],n[c+4>>2]=n[et+4>>2],Tw(s,4602,c)|0,n[Fe>>2]=23,n[Fe+4>>2]=0,n[c>>2]=n[Fe>>2],n[c+4>>2]=n[Fe+4>>2],Tw(s,4619,c)|0,n[Oe>>2]=14,n[Oe+4>>2]=0,n[c>>2]=n[Oe>>2],n[c+4>>2]=n[Oe+4>>2],tDe(s,4629,c)|0,n[Ge>>2]=1,n[Ge+4>>2]=0,n[c>>2]=n[Ge>>2],n[c+4>>2]=n[Ge+4>>2],rDe(s,4637,c)|0,n[se>>2]=4,n[se+4>>2]=0,n[c>>2]=n[se>>2],n[c+4>>2]=n[se+4>>2],zA(s,4653,c)|0,n[q>>2]=5,n[q+4>>2]=0,n[c>>2]=n[q>>2],n[c+4>>2]=n[q+4>>2],zA(s,4669,c)|0,n[M>>2]=6,n[M+4>>2]=0,n[c>>2]=n[M>>2],n[c+4>>2]=n[M+4>>2],zA(s,4686,c)|0,n[O>>2]=7,n[O+4>>2]=0,n[c>>2]=n[O>>2],n[c+4>>2]=n[O+4>>2],zA(s,4701,c)|0,n[Q>>2]=8,n[Q+4>>2]=0,n[c>>2]=n[Q>>2],n[c+4>>2]=n[Q+4>>2],zA(s,4719,c)|0,n[k>>2]=9,n[k+4>>2]=0,n[c>>2]=n[k>>2],n[c+4>>2]=n[k+4>>2],zA(s,4736,c)|0,n[B>>2]=21,n[B+4>>2]=0,n[c>>2]=n[B>>2],n[c+4>>2]=n[B+4>>2],nDe(s,4754,c)|0,n[m>>2]=2,n[m+4>>2]=0,n[c>>2]=n[m>>2],n[c+4>>2]=n[m+4>>2],iD(s,4772,c)|0,n[d>>2]=3,n[d+4>>2]=0,n[c>>2]=n[d>>2],n[c+4>>2]=n[d+4>>2],iD(s,4790,c)|0,n[f>>2]=4,n[f+4>>2]=0,n[c>>2]=n[f>>2],n[c+4>>2]=n[f+4>>2],iD(s,4808,c)|0,C=l}function Gve(s,l){s=s|0,l=l|0;var c=0;c=cFe()|0,n[s>>2]=c,uFe(c,l),xp(n[s>>2]|0)}function Yve(s,l,c){return s=s|0,l=l|0,c=c|0,JQe(s,pn(l)|0,c,0),s|0}function Wve(s,l,c){return s=s|0,l=l|0,c=c|0,TQe(s,pn(l)|0,c,0),s|0}function Vve(s,l,c){return s=s|0,l=l|0,c=c|0,EQe(s,pn(l)|0,c,0),s|0}function Tw(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],nQe(s,l,d),C=f,s|0}function Kve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Oke(s,l,d),C=f,s|0}function bu(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Ike(s,l,d),C=f,s|0}function Dg(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],oke(s,l,d),C=f,s|0}function Is(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Gbe(s,l,d),C=f,s|0}function JA(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],xbe(s,l,d),C=f,s|0}function bF(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],fbe(s,l,d),C=f,s|0}function Pg(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Oxe(s,l,d),C=f,s|0}function zA(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Ixe(s,l,d),C=f,s|0}function iD(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],oxe(s,l,d),C=f,s|0}function Jve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],GSe(s,l,d),C=f,s|0}function zve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],xSe(s,l,d),C=f,s|0}function Xve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],pSe(s,l,d),C=f,s|0}function Zve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],ZPe(s,l,d),C=f,s|0}function $ve(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],NPe(s,l,d),C=f,s|0}function eDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],yPe(s,l,d),C=f,s|0}function tDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],rPe(s,l,d),C=f,s|0}function rDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],ODe(s,l,d),C=f,s|0}function nDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],iDe(s,l,d),C=f,s|0}function iDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],sDe(s,c,d,1),C=f}function pn(s){return s=s|0,s|0}function sDe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=kF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=oDe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,aDe(m,f)|0,f),C=d}function kF(){var s=0,l=0;if(o[7616]|0||(i5(9136),tr(24,9136,U|0)|0,l=7616,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9136)|0)){s=9136,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));i5(9136)}return 9136}function oDe(s){return s=s|0,0}function aDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=kF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],n5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(uDe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function hn(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0;B=C,C=C+32|0,se=B+24|0,q=B+20|0,Q=B+16|0,M=B+12|0,O=B+8|0,k=B+4|0,Ge=B,n[q>>2]=l,n[Q>>2]=c,n[M>>2]=f,n[O>>2]=d,n[k>>2]=m,m=s+28|0,n[Ge>>2]=n[m>>2],n[se>>2]=n[Ge>>2],lDe(s+24|0,se,q,M,O,Q,k)|0,n[m>>2]=n[n[m>>2]>>2],C=B}function lDe(s,l,c,f,d,m,B){return s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,B=B|0,s=cDe(l)|0,l=Vt(24)|0,r5(l+4|0,n[c>>2]|0,n[f>>2]|0,n[d>>2]|0,n[m>>2]|0,n[B>>2]|0),n[l>>2]=n[s>>2],n[s>>2]=l,l|0}function cDe(s){return s=s|0,n[s>>2]|0}function r5(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,n[s>>2]=l,n[s+4>>2]=c,n[s+8>>2]=f,n[s+12>>2]=d,n[s+16>>2]=m}function gr(s,l){return s=s|0,l=l|0,l|s|0}function n5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function uDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=ADe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,fDe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],n5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,pDe(s,k),hDe(k),C=O;return}}function ADe(s){return s=s|0,357913941}function fDe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function pDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function hDe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&&gt(s)}function i5(s){s=s|0,mDe(s)}function gDe(s){s=s|0,dDe(s+24|0)}function Rr(s){return s=s|0,n[s>>2]|0}function dDe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function mDe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,3,l,yDe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function Vr(){return 9228}function yDe(){return 1140}function EDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=C,C=C+16|0,f=c+8|0,d=c,m=CDe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=wDe(l,f)|0,C=c,l|0}function Kr(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,n[s>>2]=l,n[s+4>>2]=c,n[s+8>>2]=f,n[s+12>>2]=d,n[s+16>>2]=m}function CDe(s){return s=s|0,(n[(kF()|0)+24>>2]|0)+(s*12|0)|0}function wDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;return d=C,C=C+48|0,f=d,c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),tf[c&31](f,s),f=IDe(f)|0,C=d,f|0}function IDe(s){s=s|0;var l=0,c=0,f=0,d=0;return d=C,C=C+32|0,l=d+12|0,c=d,f=QF(s5()|0)|0,f?(FF(l,f),TF(c,l),BDe(s,c),s=RF(l)|0):s=vDe(s)|0,C=d,s|0}function s5(){var s=0;return o[7632]|0||(RDe(9184),tr(25,9184,U|0)|0,s=7632,n[s>>2]=1,n[s+4>>2]=0),9184}function QF(s){return s=s|0,n[s+36>>2]|0}function FF(s,l){s=s|0,l=l|0,n[s>>2]=l,n[s+4>>2]=s,n[s+8>>2]=0}function TF(s,l){s=s|0,l=l|0,n[s>>2]=n[l>>2],n[s+4>>2]=n[l+4>>2],n[s+8>>2]=0}function BDe(s,l){s=s|0,l=l|0,xDe(l,s,s+8|0,s+16|0,s+24|0,s+32|0,s+40|0)|0}function RF(s){return s=s|0,n[(n[s+4>>2]|0)+8>>2]|0}function vDe(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0;Q=C,C=C+16|0,c=Q+4|0,f=Q,d=Wa(8)|0,m=d,B=Vt(48)|0,k=B,l=k+48|0;do n[k>>2]=n[s>>2],k=k+4|0,s=s+4|0;while((k|0)<(l|0));return l=m+4|0,n[l>>2]=B,k=Vt(8)|0,B=n[l>>2]|0,n[f>>2]=0,n[c>>2]=n[f>>2],o5(k,B,c),n[d>>2]=k,C=Q,m|0}function o5(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,c=Vt(16)|0,n[c+4>>2]=0,n[c+8>>2]=0,n[c>>2]=1092,n[c+12>>2]=l,n[s+4>>2]=c}function DDe(s){s=s|0,Jm(s),gt(s)}function PDe(s){s=s|0,s=n[s+12>>2]|0,s|0&&gt(s)}function SDe(s){s=s|0,gt(s)}function xDe(s,l,c,f,d,m,B){return s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,B=B|0,m=bDe(n[s>>2]|0,l,c,f,d,m,B)|0,B=s+4|0,n[(n[B>>2]|0)+8>>2]=m,n[(n[B>>2]|0)+8>>2]|0}function bDe(s,l,c,f,d,m,B){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,B=B|0;var k=0,Q=0;return k=C,C=C+16|0,Q=k,Va(Q),s=da(s)|0,B=kDe(s,+E[l>>3],+E[c>>3],+E[f>>3],+E[d>>3],+E[m>>3],+E[B>>3])|0,Ka(Q),C=k,B|0}function kDe(s,l,c,f,d,m,B){s=s|0,l=+l,c=+c,f=+f,d=+d,m=+m,B=+B;var k=0;return k=Pl(QDe()|0)|0,l=+KA(l),c=+KA(c),f=+KA(f),d=+KA(d),m=+KA(m),Os(0,k|0,s|0,+l,+c,+f,+d,+m,+ +KA(B))|0}function QDe(){var s=0;return o[7624]|0||(FDe(9172),s=7624,n[s>>2]=1,n[s+4>>2]=0),9172}function FDe(s){s=s|0,Sl(s,TDe()|0,6)}function TDe(){return 1112}function RDe(s){s=s|0,Bp(s)}function NDe(s){s=s|0,a5(s+24|0),l5(s+16|0)}function a5(s){s=s|0,MDe(s)}function l5(s){s=s|0,LDe(s)}function LDe(s){s=s|0;var l=0,c=0;if(l=n[s>>2]|0,l|0)do c=l,l=n[l>>2]|0,gt(c);while((l|0)!=0);n[s>>2]=0}function MDe(s){s=s|0;var l=0,c=0;if(l=n[s>>2]|0,l|0)do c=l,l=n[l>>2]|0,gt(c);while((l|0)!=0);n[s>>2]=0}function Bp(s){s=s|0;var l=0;n[s+16>>2]=0,n[s+20>>2]=0,l=s+24|0,n[l>>2]=0,n[s+28>>2]=l,n[s+36>>2]=0,o[s+40>>0]=0,o[s+41>>0]=0}function ODe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],UDe(s,c,d,0),C=f}function UDe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=NF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=_De(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,HDe(m,f)|0,f),C=d}function NF(){var s=0,l=0;if(o[7640]|0||(u5(9232),tr(26,9232,U|0)|0,l=7640,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9232)|0)){s=9232,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));u5(9232)}return 9232}function _De(s){return s=s|0,0}function HDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=NF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],c5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(jDe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function c5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function jDe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=qDe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,GDe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],c5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,YDe(s,k),WDe(k),C=O;return}}function qDe(s){return s=s|0,357913941}function GDe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function YDe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function WDe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&&gt(s)}function u5(s){s=s|0,JDe(s)}function VDe(s){s=s|0,KDe(s+24|0)}function KDe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function JDe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,1,l,zDe()|0,3),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function zDe(){return 1144}function XDe(s,l,c,f,d){s=s|0,l=l|0,c=+c,f=+f,d=d|0;var m=0,B=0,k=0,Q=0;m=C,C=C+16|0,B=m+8|0,k=m,Q=ZDe(s)|0,s=n[Q+4>>2]|0,n[k>>2]=n[Q>>2],n[k+4>>2]=s,n[B>>2]=n[k>>2],n[B+4>>2]=n[k+4>>2],$De(l,B,c,f,d),C=m}function ZDe(s){return s=s|0,(n[(NF()|0)+24>>2]|0)+(s*12|0)|0}function $De(s,l,c,f,d){s=s|0,l=l|0,c=+c,f=+f,d=d|0;var m=0,B=0,k=0,Q=0,O=0;O=C,C=C+16|0,B=O+2|0,k=O+1|0,Q=O,m=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(m=n[(n[s>>2]|0)+m>>2]|0),ku(B,c),c=+Qu(B,c),ku(k,f),f=+Qu(k,f),XA(Q,d),Q=ZA(Q,d)|0,D7[m&1](s,c,f,Q),C=O}function ku(s,l){s=s|0,l=+l}function Qu(s,l){return s=s|0,l=+l,+ +tPe(l)}function XA(s,l){s=s|0,l=l|0}function ZA(s,l){return s=s|0,l=l|0,ePe(l)|0}function ePe(s){return s=s|0,s|0}function tPe(s){return s=+s,+s}function rPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],nPe(s,c,d,1),C=f}function nPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=LF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=iPe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,sPe(m,f)|0,f),C=d}function LF(){var s=0,l=0;if(o[7648]|0||(f5(9268),tr(27,9268,U|0)|0,l=7648,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9268)|0)){s=9268,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));f5(9268)}return 9268}function iPe(s){return s=s|0,0}function sPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=LF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],A5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(oPe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function A5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function oPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=aPe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,lPe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],A5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,cPe(s,k),uPe(k),C=O;return}}function aPe(s){return s=s|0,357913941}function lPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function cPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function uPe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&&gt(s)}function f5(s){s=s|0,pPe(s)}function APe(s){s=s|0,fPe(s+24|0)}function fPe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function pPe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,4,l,hPe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function hPe(){return 1160}function gPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=C,C=C+16|0,f=c+8|0,d=c,m=dPe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=mPe(l,f)|0,C=c,l|0}function dPe(s){return s=s|0,(n[(LF()|0)+24>>2]|0)+(s*12|0)|0}function mPe(s,l){s=s|0,l=l|0;var c=0;return c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),p5(Ng[c&31](s)|0)|0}function p5(s){return s=s|0,s&1|0}function yPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],EPe(s,c,d,0),C=f}function EPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=MF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=CPe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,wPe(m,f)|0,f),C=d}function MF(){var s=0,l=0;if(o[7656]|0||(g5(9304),tr(28,9304,U|0)|0,l=7656,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9304)|0)){s=9304,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));g5(9304)}return 9304}function CPe(s){return s=s|0,0}function wPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=MF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],h5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(IPe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function h5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function IPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=BPe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,vPe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],h5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,DPe(s,k),PPe(k),C=O;return}}function BPe(s){return s=s|0,357913941}function vPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function DPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function PPe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&&gt(s)}function g5(s){s=s|0,bPe(s)}function SPe(s){s=s|0,xPe(s+24|0)}function xPe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function bPe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,5,l,kPe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function kPe(){return 1164}function QPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,d=f+8|0,m=f,B=FPe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],TPe(l,d,c),C=f}function FPe(s){return s=s|0,(n[(MF()|0)+24>>2]|0)+(s*12|0)|0}function TPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),vp(d,c),c=Dp(d,c)|0,tf[f&31](s,c),Pp(d),C=m}function vp(s,l){s=s|0,l=l|0,RPe(s,l)}function Dp(s,l){return s=s|0,l=l|0,s|0}function Pp(s){s=s|0,jA(s)}function RPe(s,l){s=s|0,l=l|0,OF(s,l)}function OF(s,l){s=s|0,l=l|0,n[s>>2]=l}function NPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],LPe(s,c,d,0),C=f}function LPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=UF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=MPe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,OPe(m,f)|0,f),C=d}function UF(){var s=0,l=0;if(o[7664]|0||(m5(9340),tr(29,9340,U|0)|0,l=7664,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9340)|0)){s=9340,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));m5(9340)}return 9340}function MPe(s){return s=s|0,0}function OPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=UF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],d5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(UPe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function d5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function UPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=_Pe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,HPe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],d5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,jPe(s,k),qPe(k),C=O;return}}function _Pe(s){return s=s|0,357913941}function HPe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function jPe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function qPe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&&gt(s)}function m5(s){s=s|0,WPe(s)}function GPe(s){s=s|0,YPe(s+24|0)}function YPe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function WPe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,4,l,VPe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function VPe(){return 1180}function KPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=JPe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],c=zPe(l,d,c)|0,C=f,c|0}function JPe(s){return s=s|0,(n[(UF()|0)+24>>2]|0)+(s*12|0)|0}function zPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;return m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),Sg(d,c),d=xg(d,c)|0,d=sD(NT[f&15](s,d)|0)|0,C=m,d|0}function Sg(s,l){s=s|0,l=l|0}function xg(s,l){return s=s|0,l=l|0,XPe(l)|0}function sD(s){return s=s|0,s|0}function XPe(s){return s=s|0,s|0}function ZPe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],$Pe(s,c,d,0),C=f}function $Pe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=_F()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=eSe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,tSe(m,f)|0,f),C=d}function _F(){var s=0,l=0;if(o[7672]|0||(E5(9376),tr(30,9376,U|0)|0,l=7672,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9376)|0)){s=9376,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));E5(9376)}return 9376}function eSe(s){return s=s|0,0}function tSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=_F()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],y5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(rSe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function y5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function rSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=nSe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,iSe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],y5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,sSe(s,k),oSe(k),C=O;return}}function nSe(s){return s=s|0,357913941}function iSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function sSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function oSe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&&gt(s)}function E5(s){s=s|0,cSe(s)}function aSe(s){s=s|0,lSe(s+24|0)}function lSe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function cSe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,5,l,C5()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function C5(){return 1196}function uSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=C,C=C+16|0,f=c+8|0,d=c,m=ASe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=fSe(l,f)|0,C=c,l|0}function ASe(s){return s=s|0,(n[(_F()|0)+24>>2]|0)+(s*12|0)|0}function fSe(s,l){s=s|0,l=l|0;var c=0;return c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),sD(Ng[c&31](s)|0)|0}function pSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],hSe(s,c,d,1),C=f}function hSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=HF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=gSe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,dSe(m,f)|0,f),C=d}function HF(){var s=0,l=0;if(o[7680]|0||(I5(9412),tr(31,9412,U|0)|0,l=7680,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9412)|0)){s=9412,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));I5(9412)}return 9412}function gSe(s){return s=s|0,0}function dSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=HF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],w5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(mSe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function w5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function mSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=ySe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,ESe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],w5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,CSe(s,k),wSe(k),C=O;return}}function ySe(s){return s=s|0,357913941}function ESe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function CSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function wSe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&&gt(s)}function I5(s){s=s|0,vSe(s)}function ISe(s){s=s|0,BSe(s+24|0)}function BSe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function vSe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,6,l,B5()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function B5(){return 1200}function DSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=C,C=C+16|0,f=c+8|0,d=c,m=PSe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=SSe(l,f)|0,C=c,l|0}function PSe(s){return s=s|0,(n[(HF()|0)+24>>2]|0)+(s*12|0)|0}function SSe(s,l){s=s|0,l=l|0;var c=0;return c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),oD(Ng[c&31](s)|0)|0}function oD(s){return s=s|0,s|0}function xSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],bSe(s,c,d,0),C=f}function bSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=jF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=kSe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,QSe(m,f)|0,f),C=d}function jF(){var s=0,l=0;if(o[7688]|0||(D5(9448),tr(32,9448,U|0)|0,l=7688,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9448)|0)){s=9448,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));D5(9448)}return 9448}function kSe(s){return s=s|0,0}function QSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=jF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],v5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(FSe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function v5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function FSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=TSe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,RSe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],v5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,NSe(s,k),LSe(k),C=O;return}}function TSe(s){return s=s|0,357913941}function RSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function NSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function LSe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&&gt(s)}function D5(s){s=s|0,USe(s)}function MSe(s){s=s|0,OSe(s+24|0)}function OSe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function USe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,6,l,P5()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function P5(){return 1204}function _Se(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,d=f+8|0,m=f,B=HSe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],jSe(l,d,c),C=f}function HSe(s){return s=s|0,(n[(jF()|0)+24>>2]|0)+(s*12|0)|0}function jSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),qF(d,c),d=GF(d,c)|0,tf[f&31](s,d),C=m}function qF(s,l){s=s|0,l=l|0}function GF(s,l){return s=s|0,l=l|0,qSe(l)|0}function qSe(s){return s=s|0,s|0}function GSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],YSe(s,c,d,0),C=f}function YSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=YF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=WSe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,VSe(m,f)|0,f),C=d}function YF(){var s=0,l=0;if(o[7696]|0||(x5(9484),tr(33,9484,U|0)|0,l=7696,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9484)|0)){s=9484,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));x5(9484)}return 9484}function WSe(s){return s=s|0,0}function VSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=YF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],S5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(KSe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function S5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function KSe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=JSe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,zSe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],S5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,XSe(s,k),ZSe(k),C=O;return}}function JSe(s){return s=s|0,357913941}function zSe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function XSe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function ZSe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&&gt(s)}function x5(s){s=s|0,txe(s)}function $Se(s){s=s|0,exe(s+24|0)}function exe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function txe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,1,l,rxe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function rxe(){return 1212}function nxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=C,C=C+16|0,m=d+8|0,B=d,k=ixe(s)|0,s=n[k+4>>2]|0,n[B>>2]=n[k>>2],n[B+4>>2]=s,n[m>>2]=n[B>>2],n[m+4>>2]=n[B+4>>2],sxe(l,m,c,f),C=d}function ixe(s){return s=s|0,(n[(YF()|0)+24>>2]|0)+(s*12|0)|0}function sxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;k=C,C=C+16|0,m=k+1|0,B=k,d=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(d=n[(n[s>>2]|0)+d>>2]|0),qF(m,c),m=GF(m,c)|0,Sg(B,f),B=xg(B,f)|0,_w[d&15](s,m,B),C=k}function oxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],axe(s,c,d,1),C=f}function axe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=WF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=lxe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,cxe(m,f)|0,f),C=d}function WF(){var s=0,l=0;if(o[7704]|0||(k5(9520),tr(34,9520,U|0)|0,l=7704,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9520)|0)){s=9520,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));k5(9520)}return 9520}function lxe(s){return s=s|0,0}function cxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=WF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],b5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(uxe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function b5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function uxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Axe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,fxe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],b5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,pxe(s,k),hxe(k),C=O;return}}function Axe(s){return s=s|0,357913941}function fxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function pxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function hxe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&&gt(s)}function k5(s){s=s|0,mxe(s)}function gxe(s){s=s|0,dxe(s+24|0)}function dxe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function mxe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,1,l,yxe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function yxe(){return 1224}function Exe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;return d=C,C=C+16|0,m=d+8|0,B=d,k=Cxe(s)|0,s=n[k+4>>2]|0,n[B>>2]=n[k>>2],n[B+4>>2]=s,n[m>>2]=n[B>>2],n[m+4>>2]=n[B+4>>2],f=+wxe(l,m,c),C=d,+f}function Cxe(s){return s=s|0,(n[(WF()|0)+24>>2]|0)+(s*12|0)|0}function wxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),XA(d,c),d=ZA(d,c)|0,B=+xF(+S7[f&7](s,d)),C=m,+B}function Ixe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Bxe(s,c,d,1),C=f}function Bxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=VF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=vxe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Dxe(m,f)|0,f),C=d}function VF(){var s=0,l=0;if(o[7712]|0||(F5(9556),tr(35,9556,U|0)|0,l=7712,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9556)|0)){s=9556,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));F5(9556)}return 9556}function vxe(s){return s=s|0,0}function Dxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=VF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],Q5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(Pxe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function Q5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function Pxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Sxe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,xxe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],Q5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,bxe(s,k),kxe(k),C=O;return}}function Sxe(s){return s=s|0,357913941}function xxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function bxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function kxe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&&gt(s)}function F5(s){s=s|0,Txe(s)}function Qxe(s){s=s|0,Fxe(s+24|0)}function Fxe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function Txe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,5,l,Rxe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function Rxe(){return 1232}function Nxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=Lxe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],c=+Mxe(l,d),C=f,+c}function Lxe(s){return s=s|0,(n[(VF()|0)+24>>2]|0)+(s*12|0)|0}function Mxe(s,l){s=s|0,l=l|0;var c=0;return c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),+ +xF(+P7[c&15](s))}function Oxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Uxe(s,c,d,1),C=f}function Uxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=KF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=_xe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Hxe(m,f)|0,f),C=d}function KF(){var s=0,l=0;if(o[7720]|0||(R5(9592),tr(36,9592,U|0)|0,l=7720,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9592)|0)){s=9592,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));R5(9592)}return 9592}function _xe(s){return s=s|0,0}function Hxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=KF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],T5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(jxe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function T5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function jxe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=qxe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,Gxe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],T5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,Yxe(s,k),Wxe(k),C=O;return}}function qxe(s){return s=s|0,357913941}function Gxe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function Yxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function Wxe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&&gt(s)}function R5(s){s=s|0,Jxe(s)}function Vxe(s){s=s|0,Kxe(s+24|0)}function Kxe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function Jxe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,7,l,zxe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function zxe(){return 1276}function Xxe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=C,C=C+16|0,f=c+8|0,d=c,m=Zxe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=$xe(l,f)|0,C=c,l|0}function Zxe(s){return s=s|0,(n[(KF()|0)+24>>2]|0)+(s*12|0)|0}function $xe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;return d=C,C=C+16|0,f=d,c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),tf[c&31](f,s),f=N5(f)|0,C=d,f|0}function N5(s){s=s|0;var l=0,c=0,f=0,d=0;return d=C,C=C+32|0,l=d+12|0,c=d,f=QF(L5()|0)|0,f?(FF(l,f),TF(c,l),ebe(s,c),s=RF(l)|0):s=tbe(s)|0,C=d,s|0}function L5(){var s=0;return o[7736]|0||(Abe(9640),tr(25,9640,U|0)|0,s=7736,n[s>>2]=1,n[s+4>>2]=0),9640}function ebe(s,l){s=s|0,l=l|0,sbe(l,s,s+8|0)|0}function tbe(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0;return c=C,C=C+16|0,d=c+4|0,B=c,f=Wa(8)|0,l=f,k=Vt(16)|0,n[k>>2]=n[s>>2],n[k+4>>2]=n[s+4>>2],n[k+8>>2]=n[s+8>>2],n[k+12>>2]=n[s+12>>2],m=l+4|0,n[m>>2]=k,s=Vt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],JF(s,m,d),n[f>>2]=s,C=c,l|0}function JF(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,c=Vt(16)|0,n[c+4>>2]=0,n[c+8>>2]=0,n[c>>2]=1244,n[c+12>>2]=l,n[s+4>>2]=c}function rbe(s){s=s|0,Jm(s),gt(s)}function nbe(s){s=s|0,s=n[s+12>>2]|0,s|0&&gt(s)}function ibe(s){s=s|0,gt(s)}function sbe(s,l,c){return s=s|0,l=l|0,c=c|0,l=obe(n[s>>2]|0,l,c)|0,c=s+4|0,n[(n[c>>2]|0)+8>>2]=l,n[(n[c>>2]|0)+8>>2]|0}function obe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;return f=C,C=C+16|0,d=f,Va(d),s=da(s)|0,c=abe(s,n[l>>2]|0,+E[c>>3])|0,Ka(d),C=f,c|0}function abe(s,l,c){s=s|0,l=l|0,c=+c;var f=0;return f=Pl(lbe()|0)|0,l=SF(l)|0,ml(0,f|0,s|0,l|0,+ +KA(c))|0}function lbe(){var s=0;return o[7728]|0||(cbe(9628),s=7728,n[s>>2]=1,n[s+4>>2]=0),9628}function cbe(s){s=s|0,Sl(s,ube()|0,2)}function ube(){return 1264}function Abe(s){s=s|0,Bp(s)}function fbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],pbe(s,c,d,1),C=f}function pbe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=zF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=hbe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,gbe(m,f)|0,f),C=d}function zF(){var s=0,l=0;if(o[7744]|0||(O5(9684),tr(37,9684,U|0)|0,l=7744,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9684)|0)){s=9684,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));O5(9684)}return 9684}function hbe(s){return s=s|0,0}function gbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=zF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],M5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(dbe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function M5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function dbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=mbe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,ybe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],M5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,Ebe(s,k),Cbe(k),C=O;return}}function mbe(s){return s=s|0,357913941}function ybe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function Ebe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function Cbe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&&gt(s)}function O5(s){s=s|0,Bbe(s)}function wbe(s){s=s|0,Ibe(s+24|0)}function Ibe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function Bbe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,5,l,vbe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function vbe(){return 1280}function Dbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=Pbe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],c=Sbe(l,d,c)|0,C=f,c|0}function Pbe(s){return s=s|0,(n[(zF()|0)+24>>2]|0)+(s*12|0)|0}function Sbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return B=C,C=C+32|0,d=B,m=B+16|0,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),XA(m,c),m=ZA(m,c)|0,_w[f&15](d,s,m),m=N5(d)|0,C=B,m|0}function xbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],bbe(s,c,d,1),C=f}function bbe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=XF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=kbe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Qbe(m,f)|0,f),C=d}function XF(){var s=0,l=0;if(o[7752]|0||(_5(9720),tr(38,9720,U|0)|0,l=7752,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9720)|0)){s=9720,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));_5(9720)}return 9720}function kbe(s){return s=s|0,0}function Qbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=XF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],U5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(Fbe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function U5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function Fbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Tbe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,Rbe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],U5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,Nbe(s,k),Lbe(k),C=O;return}}function Tbe(s){return s=s|0,357913941}function Rbe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function Nbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function Lbe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&&gt(s)}function _5(s){s=s|0,Ube(s)}function Mbe(s){s=s|0,Obe(s+24|0)}function Obe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function Ube(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,8,l,_be()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function _be(){return 1288}function Hbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;return c=C,C=C+16|0,f=c+8|0,d=c,m=jbe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],l=qbe(l,f)|0,C=c,l|0}function jbe(s){return s=s|0,(n[(XF()|0)+24>>2]|0)+(s*12|0)|0}function qbe(s,l){s=s|0,l=l|0;var c=0;return c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),t5(Ng[c&31](s)|0)|0}function Gbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Ybe(s,c,d,0),C=f}function Ybe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=ZF()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=Wbe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Vbe(m,f)|0,f),C=d}function ZF(){var s=0,l=0;if(o[7760]|0||(j5(9756),tr(39,9756,U|0)|0,l=7760,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9756)|0)){s=9756,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));j5(9756)}return 9756}function Wbe(s){return s=s|0,0}function Vbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=ZF()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],H5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(Kbe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function H5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function Kbe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Jbe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,zbe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],H5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,Xbe(s,k),Zbe(k),C=O;return}}function Jbe(s){return s=s|0,357913941}function zbe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function Xbe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function Zbe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&&gt(s)}function j5(s){s=s|0,tke(s)}function $be(s){s=s|0,eke(s+24|0)}function eke(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function tke(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,8,l,rke()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function rke(){return 1292}function nke(s,l,c){s=s|0,l=l|0,c=+c;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,d=f+8|0,m=f,B=ike(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],ske(l,d,c),C=f}function ike(s){return s=s|0,(n[(ZF()|0)+24>>2]|0)+(s*12|0)|0}function ske(s,l,c){s=s|0,l=l|0,c=+c;var f=0,d=0,m=0;m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),ku(d,c),c=+Qu(d,c),B7[f&31](s,c),C=m}function oke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],ake(s,c,d,0),C=f}function ake(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=$F()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=lke(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,cke(m,f)|0,f),C=d}function $F(){var s=0,l=0;if(o[7768]|0||(G5(9792),tr(40,9792,U|0)|0,l=7768,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9792)|0)){s=9792,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));G5(9792)}return 9792}function lke(s){return s=s|0,0}function cke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=$F()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],q5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(uke(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function q5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function uke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Ake(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,fke(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],q5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,pke(s,k),hke(k),C=O;return}}function Ake(s){return s=s|0,357913941}function fke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function pke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function hke(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&&gt(s)}function G5(s){s=s|0,mke(s)}function gke(s){s=s|0,dke(s+24|0)}function dke(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function mke(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,1,l,yke()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function yke(){return 1300}function Eke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=+f;var d=0,m=0,B=0,k=0;d=C,C=C+16|0,m=d+8|0,B=d,k=Cke(s)|0,s=n[k+4>>2]|0,n[B>>2]=n[k>>2],n[B+4>>2]=s,n[m>>2]=n[B>>2],n[m+4>>2]=n[B+4>>2],wke(l,m,c,f),C=d}function Cke(s){return s=s|0,(n[($F()|0)+24>>2]|0)+(s*12|0)|0}function wke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=+f;var d=0,m=0,B=0,k=0;k=C,C=C+16|0,m=k+1|0,B=k,d=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(d=n[(n[s>>2]|0)+d>>2]|0),XA(m,c),m=ZA(m,c)|0,ku(B,f),f=+Qu(B,f),Q7[d&15](s,m,f),C=k}function Ike(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Bke(s,c,d,0),C=f}function Bke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=eT()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=vke(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Dke(m,f)|0,f),C=d}function eT(){var s=0,l=0;if(o[7776]|0||(W5(9828),tr(41,9828,U|0)|0,l=7776,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9828)|0)){s=9828,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));W5(9828)}return 9828}function vke(s){return s=s|0,0}function Dke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=eT()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],Y5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(Pke(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function Y5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function Pke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=Ske(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,xke(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],Y5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,bke(s,k),kke(k),C=O;return}}function Ske(s){return s=s|0,357913941}function xke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function bke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function kke(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&&gt(s)}function W5(s){s=s|0,Tke(s)}function Qke(s){s=s|0,Fke(s+24|0)}function Fke(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function Tke(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,7,l,Rke()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function Rke(){return 1312}function Nke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,d=f+8|0,m=f,B=Lke(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Mke(l,d,c),C=f}function Lke(s){return s=s|0,(n[(eT()|0)+24>>2]|0)+(s*12|0)|0}function Mke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),XA(d,c),d=ZA(d,c)|0,tf[f&31](s,d),C=m}function Oke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],Uke(s,c,d,0),C=f}function Uke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=tT()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=_ke(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,Hke(m,f)|0,f),C=d}function tT(){var s=0,l=0;if(o[7784]|0||(K5(9864),tr(42,9864,U|0)|0,l=7784,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9864)|0)){s=9864,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));K5(9864)}return 9864}function _ke(s){return s=s|0,0}function Hke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=tT()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],V5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(jke(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function V5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function jke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=qke(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,Gke(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],V5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,Yke(s,k),Wke(k),C=O;return}}function qke(s){return s=s|0,357913941}function Gke(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function Yke(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function Wke(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&&gt(s)}function K5(s){s=s|0,Jke(s)}function Vke(s){s=s|0,Kke(s+24|0)}function Kke(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function Jke(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,8,l,zke()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function zke(){return 1320}function Xke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,d=f+8|0,m=f,B=Zke(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],$ke(l,d,c),C=f}function Zke(s){return s=s|0,(n[(tT()|0)+24>>2]|0)+(s*12|0)|0}function $ke(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),eQe(d,c),d=tQe(d,c)|0,tf[f&31](s,d),C=m}function eQe(s,l){s=s|0,l=l|0}function tQe(s,l){return s=s|0,l=l|0,rQe(l)|0}function rQe(s){return s=s|0,s|0}function nQe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],iQe(s,c,d,0),C=f}function iQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=rT()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=sQe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,oQe(m,f)|0,f),C=d}function rT(){var s=0,l=0;if(o[7792]|0||(z5(9900),tr(43,9900,U|0)|0,l=7792,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9900)|0)){s=9900,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));z5(9900)}return 9900}function sQe(s){return s=s|0,0}function oQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=rT()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],J5(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(aQe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function J5(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function aQe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=lQe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,cQe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],J5(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,uQe(s,k),AQe(k),C=O;return}}function lQe(s){return s=s|0,357913941}function cQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function uQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function AQe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&&gt(s)}function z5(s){s=s|0,hQe(s)}function fQe(s){s=s|0,pQe(s+24|0)}function pQe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function hQe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,22,l,gQe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function gQe(){return 1344}function dQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0;c=C,C=C+16|0,f=c+8|0,d=c,m=mQe(s)|0,s=n[m+4>>2]|0,n[d>>2]=n[m>>2],n[d+4>>2]=s,n[f>>2]=n[d>>2],n[f+4>>2]=n[d+4>>2],yQe(l,f),C=c}function mQe(s){return s=s|0,(n[(rT()|0)+24>>2]|0)+(s*12|0)|0}function yQe(s,l){s=s|0,l=l|0;var c=0;c=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(c=n[(n[s>>2]|0)+c>>2]|0),ef[c&127](s)}function EQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=nT()|0,s=CQe(c)|0,hn(m,l,d,s,wQe(c,f)|0,f)}function nT(){var s=0,l=0;if(o[7800]|0||(Z5(9936),tr(44,9936,U|0)|0,l=7800,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9936)|0)){s=9936,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));Z5(9936)}return 9936}function CQe(s){return s=s|0,s|0}function wQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=nT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(X5(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(IQe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function X5(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function IQe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=BQe(s)|0,f>>>0<B>>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,vQe(d,M>>3>>>0<f>>>1>>>0?O>>>0<B>>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,X5(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,DQe(s,d),PQe(d),C=k;return}}function BQe(s){return s=s|0,536870911}function vQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function DQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function PQe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&&gt(s)}function Z5(s){s=s|0,bQe(s)}function SQe(s){s=s|0,xQe(s+24|0)}function xQe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function bQe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,23,l,P5()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function kQe(s,l){s=s|0,l=l|0,FQe(n[(QQe(s)|0)>>2]|0,l)}function QQe(s){return s=s|0,(n[(nT()|0)+24>>2]|0)+(s<<3)|0}function FQe(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,qF(f,l),l=GF(f,l)|0,ef[s&127](l),C=c}function TQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=iT()|0,s=RQe(c)|0,hn(m,l,d,s,NQe(c,f)|0,f)}function iT(){var s=0,l=0;if(o[7808]|0||(e9(9972),tr(45,9972,U|0)|0,l=7808,n[l>>2]=1,n[l+4>>2]=0),!(Rr(9972)|0)){s=9972,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));e9(9972)}return 9972}function RQe(s){return s=s|0,s|0}function NQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=iT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?($5(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(LQe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function $5(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function LQe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=MQe(s)|0,f>>>0<B>>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,OQe(d,M>>3>>>0<f>>>1>>>0?O>>>0<B>>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,$5(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,UQe(s,d),_Qe(d),C=k;return}}function MQe(s){return s=s|0,536870911}function OQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function UQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function _Qe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&&gt(s)}function e9(s){s=s|0,qQe(s)}function HQe(s){s=s|0,jQe(s+24|0)}function jQe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function qQe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,9,l,GQe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function GQe(){return 1348}function YQe(s,l){return s=s|0,l=l|0,VQe(n[(WQe(s)|0)>>2]|0,l)|0}function WQe(s){return s=s|0,(n[(iT()|0)+24>>2]|0)+(s<<3)|0}function VQe(s,l){s=s|0,l=l|0;var c=0,f=0;return c=C,C=C+16|0,f=c,t9(f,l),l=r9(f,l)|0,l=sD(Ng[s&31](l)|0)|0,C=c,l|0}function t9(s,l){s=s|0,l=l|0}function r9(s,l){return s=s|0,l=l|0,KQe(l)|0}function KQe(s){return s=s|0,s|0}function JQe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=sT()|0,s=zQe(c)|0,hn(m,l,d,s,XQe(c,f)|0,f)}function sT(){var s=0,l=0;if(o[7816]|0||(i9(10008),tr(46,10008,U|0)|0,l=7816,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10008)|0)){s=10008,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));i9(10008)}return 10008}function zQe(s){return s=s|0,s|0}function XQe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=sT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(n9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(ZQe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function n9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function ZQe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=$Qe(s)|0,f>>>0<B>>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,eFe(d,M>>3>>>0<f>>>1>>>0?O>>>0<B>>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,n9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,tFe(s,d),rFe(d),C=k;return}}function $Qe(s){return s=s|0,536870911}function eFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function tFe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function rFe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&&gt(s)}function i9(s){s=s|0,sFe(s)}function nFe(s){s=s|0,iFe(s+24|0)}function iFe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function sFe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,15,l,C5()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function oFe(s){return s=s|0,lFe(n[(aFe(s)|0)>>2]|0)|0}function aFe(s){return s=s|0,(n[(sT()|0)+24>>2]|0)+(s<<3)|0}function lFe(s){return s=s|0,sD(CD[s&7]()|0)|0}function cFe(){var s=0;return o[7832]|0||(mFe(10052),tr(25,10052,U|0)|0,s=7832,n[s>>2]=1,n[s+4>>2]=0),10052}function uFe(s,l){s=s|0,l=l|0,n[s>>2]=AFe()|0,n[s+4>>2]=fFe()|0,n[s+12>>2]=l,n[s+8>>2]=pFe()|0,n[s+32>>2]=2}function AFe(){return 11709}function fFe(){return 1188}function pFe(){return aD()|0}function hFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(gFe(c),gt(c)):l|0&&(Pu(l),gt(l))}function Sp(s,l){return s=s|0,l=l|0,l&s|0}function gFe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function aD(){var s=0;return o[7824]|0||(n[2511]=dFe()|0,n[2512]=0,s=7824,n[s>>2]=1,n[s+4>>2]=0),10044}function dFe(){return 0}function mFe(s){s=s|0,Bp(s)}function yFe(s){s=s|0;var l=0,c=0,f=0,d=0,m=0;l=C,C=C+32|0,c=l+24|0,m=l+16|0,d=l+8|0,f=l,EFe(s,4827),CFe(s,4834,3)|0,wFe(s,3682,47)|0,n[m>>2]=9,n[m+4>>2]=0,n[c>>2]=n[m>>2],n[c+4>>2]=n[m+4>>2],IFe(s,4841,c)|0,n[d>>2]=1,n[d+4>>2]=0,n[c>>2]=n[d>>2],n[c+4>>2]=n[d+4>>2],BFe(s,4871,c)|0,n[f>>2]=10,n[f+4>>2]=0,n[c>>2]=n[f>>2],n[c+4>>2]=n[f+4>>2],vFe(s,4891,c)|0,C=l}function EFe(s,l){s=s|0,l=l|0;var c=0;c=rRe()|0,n[s>>2]=c,nRe(c,l),xp(n[s>>2]|0)}function CFe(s,l,c){return s=s|0,l=l|0,c=c|0,_Te(s,pn(l)|0,c,0),s|0}function wFe(s,l,c){return s=s|0,l=l|0,c=c|0,DTe(s,pn(l)|0,c,0),s|0}function IFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],oTe(s,l,d),C=f,s|0}function BFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],HFe(s,l,d),C=f,s|0}function vFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=n[c+4>>2]|0,n[m>>2]=n[c>>2],n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],DFe(s,l,d),C=f,s|0}function DFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],PFe(s,c,d,1),C=f}function PFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=oT()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=SFe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,xFe(m,f)|0,f),C=d}function oT(){var s=0,l=0;if(o[7840]|0||(o9(10100),tr(48,10100,U|0)|0,l=7840,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10100)|0)){s=10100,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));o9(10100)}return 10100}function SFe(s){return s=s|0,0}function xFe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=oT()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],s9(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(bFe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function s9(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function bFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=kFe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,QFe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],s9(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,FFe(s,k),TFe(k),C=O;return}}function kFe(s){return s=s|0,357913941}function QFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function FFe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function TFe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&&gt(s)}function o9(s){s=s|0,LFe(s)}function RFe(s){s=s|0,NFe(s+24|0)}function NFe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function LFe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,6,l,MFe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function MFe(){return 1364}function OFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;return f=C,C=C+16|0,d=f+8|0,m=f,B=UFe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],c=_Fe(l,d,c)|0,C=f,c|0}function UFe(s){return s=s|0,(n[(oT()|0)+24>>2]|0)+(s*12|0)|0}function _Fe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;return m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),XA(d,c),d=ZA(d,c)|0,d=p5(NT[f&15](s,d)|0)|0,C=m,d|0}function HFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],jFe(s,c,d,0),C=f}function jFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=aT()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=qFe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,GFe(m,f)|0,f),C=d}function aT(){var s=0,l=0;if(o[7848]|0||(l9(10136),tr(49,10136,U|0)|0,l=7848,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10136)|0)){s=10136,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));l9(10136)}return 10136}function qFe(s){return s=s|0,0}function GFe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=aT()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],a9(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(YFe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function a9(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function YFe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=WFe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,VFe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],a9(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,KFe(s,k),JFe(k),C=O;return}}function WFe(s){return s=s|0,357913941}function VFe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function KFe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function JFe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&&gt(s)}function l9(s){s=s|0,ZFe(s)}function zFe(s){s=s|0,XFe(s+24|0)}function XFe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function ZFe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,9,l,$Fe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function $Fe(){return 1372}function eTe(s,l,c){s=s|0,l=l|0,c=+c;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,d=f+8|0,m=f,B=tTe(s)|0,s=n[B+4>>2]|0,n[m>>2]=n[B>>2],n[m+4>>2]=s,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],rTe(l,d,c),C=f}function tTe(s){return s=s|0,(n[(aT()|0)+24>>2]|0)+(s*12|0)|0}function rTe(s,l,c){s=s|0,l=l|0,c=+c;var f=0,d=0,m=0,B=Ze;m=C,C=C+16|0,d=m,f=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(f=n[(n[s>>2]|0)+f>>2]|0),nTe(d,c),B=y(iTe(d,c)),I7[f&1](s,B),C=m}function nTe(s,l){s=s|0,l=+l}function iTe(s,l){return s=s|0,l=+l,y(sTe(l))}function sTe(s){return s=+s,y(s)}function oTe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,d=f+8|0,m=f,k=n[c>>2]|0,B=n[c+4>>2]|0,c=pn(l)|0,n[m>>2]=k,n[m+4>>2]=B,n[d>>2]=n[m>>2],n[d+4>>2]=n[m+4>>2],aTe(s,c,d,0),C=f}function aTe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0,Q=0,O=0,M=0;d=C,C=C+32|0,m=d+16|0,M=d+8|0,k=d,O=n[c>>2]|0,Q=n[c+4>>2]|0,B=n[s>>2]|0,s=lT()|0,n[M>>2]=O,n[M+4>>2]=Q,n[m>>2]=n[M>>2],n[m+4>>2]=n[M+4>>2],c=lTe(m)|0,n[k>>2]=O,n[k+4>>2]=Q,n[m>>2]=n[k>>2],n[m+4>>2]=n[k+4>>2],hn(B,l,s,c,cTe(m,f)|0,f),C=d}function lT(){var s=0,l=0;if(o[7856]|0||(u9(10172),tr(50,10172,U|0)|0,l=7856,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10172)|0)){s=10172,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));u9(10172)}return 10172}function lTe(s){return s=s|0,0}function cTe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0;return M=C,C=C+32|0,d=M+24|0,B=M+16|0,k=M,Q=M+8|0,m=n[s>>2]|0,f=n[s+4>>2]|0,n[k>>2]=m,n[k+4>>2]=f,q=lT()|0,O=q+24|0,s=gr(l,4)|0,n[Q>>2]=s,l=q+28|0,c=n[l>>2]|0,c>>>0<(n[q+32>>2]|0)>>>0?(n[B>>2]=m,n[B+4>>2]=f,n[d>>2]=n[B>>2],n[d+4>>2]=n[B+4>>2],c9(c,d,s),s=(n[l>>2]|0)+12|0,n[l>>2]=s):(uTe(O,k,Q),s=n[l>>2]|0),C=M,((s-(n[O>>2]|0)|0)/12|0)+-1|0}function c9(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=n[l+4>>2]|0,n[s>>2]=n[l>>2],n[s+4>>2]=f,n[s+8>>2]=c}function uTe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;if(O=C,C=C+48|0,f=O+32|0,B=O+24|0,k=O,Q=s+4|0,d=(((n[Q>>2]|0)-(n[s>>2]|0)|0)/12|0)+1|0,m=ATe(s)|0,m>>>0<d>>>0)zr(s);else{M=n[s>>2]|0,se=((n[s+8>>2]|0)-M|0)/12|0,q=se<<1,fTe(k,se>>>0<m>>>1>>>0?q>>>0<d>>>0?d:q:m,((n[Q>>2]|0)-M|0)/12|0,s+8|0),Q=k+8|0,m=n[Q>>2]|0,d=n[l+4>>2]|0,c=n[c>>2]|0,n[B>>2]=n[l>>2],n[B+4>>2]=d,n[f>>2]=n[B>>2],n[f+4>>2]=n[B+4>>2],c9(m,f,c),n[Q>>2]=(n[Q>>2]|0)+12,pTe(s,k),hTe(k),C=O;return}}function ATe(s){return s=s|0,357913941}function fTe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>357913941)Tt();else{d=Vt(l*12|0)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c*12|0)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l*12|0)}function pTe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(((d|0)/-12|0)*12|0)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function hTe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~(((f+-12-l|0)>>>0)/12|0)*12|0)),s=n[s>>2]|0,s|0&&gt(s)}function u9(s){s=s|0,mTe(s)}function gTe(s){s=s|0,dTe(s+24|0)}function dTe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~(((l+-12-f|0)>>>0)/12|0)*12|0)),gt(c))}function mTe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,2,3,l,yTe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function yTe(){return 1380}function ETe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=C,C=C+16|0,m=d+8|0,B=d,k=CTe(s)|0,s=n[k+4>>2]|0,n[B>>2]=n[k>>2],n[B+4>>2]=s,n[m>>2]=n[B>>2],n[m+4>>2]=n[B+4>>2],wTe(l,m,c,f),C=d}function CTe(s){return s=s|0,(n[(lT()|0)+24>>2]|0)+(s*12|0)|0}function wTe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;k=C,C=C+16|0,m=k+1|0,B=k,d=n[l>>2]|0,l=n[l+4>>2]|0,s=s+(l>>1)|0,l&1&&(d=n[(n[s>>2]|0)+d>>2]|0),XA(m,c),m=ZA(m,c)|0,ITe(B,f),B=BTe(B,f)|0,_w[d&15](s,m,B),C=k}function ITe(s,l){s=s|0,l=l|0}function BTe(s,l){return s=s|0,l=l|0,vTe(l)|0}function vTe(s){return s=s|0,(s|0)!=0|0}function DTe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=cT()|0,s=PTe(c)|0,hn(m,l,d,s,STe(c,f)|0,f)}function cT(){var s=0,l=0;if(o[7864]|0||(f9(10208),tr(51,10208,U|0)|0,l=7864,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10208)|0)){s=10208,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));f9(10208)}return 10208}function PTe(s){return s=s|0,s|0}function STe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=cT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(A9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(xTe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function A9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function xTe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=bTe(s)|0,f>>>0<B>>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,kTe(d,M>>3>>>0<f>>>1>>>0?O>>>0<B>>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,A9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,QTe(s,d),FTe(d),C=k;return}}function bTe(s){return s=s|0,536870911}function kTe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function QTe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function FTe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&&gt(s)}function f9(s){s=s|0,NTe(s)}function TTe(s){s=s|0,RTe(s+24|0)}function RTe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function NTe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,24,l,LTe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function LTe(){return 1392}function MTe(s,l){s=s|0,l=l|0,UTe(n[(OTe(s)|0)>>2]|0,l)}function OTe(s){return s=s|0,(n[(cT()|0)+24>>2]|0)+(s<<3)|0}function UTe(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,t9(f,l),l=r9(f,l)|0,ef[s&127](l),C=c}function _Te(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=uT()|0,s=HTe(c)|0,hn(m,l,d,s,jTe(c,f)|0,f)}function uT(){var s=0,l=0;if(o[7872]|0||(h9(10244),tr(52,10244,U|0)|0,l=7872,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10244)|0)){s=10244,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));h9(10244)}return 10244}function HTe(s){return s=s|0,s|0}function jTe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=uT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(p9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(qTe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function p9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function qTe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=GTe(s)|0,f>>>0<B>>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,YTe(d,M>>3>>>0<f>>>1>>>0?O>>>0<B>>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,p9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,WTe(s,d),VTe(d),C=k;return}}function GTe(s){return s=s|0,536870911}function YTe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function WTe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function VTe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&&gt(s)}function h9(s){s=s|0,zTe(s)}function KTe(s){s=s|0,JTe(s+24|0)}function JTe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function zTe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,16,l,XTe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function XTe(){return 1400}function ZTe(s){return s=s|0,eRe(n[($Te(s)|0)>>2]|0)|0}function $Te(s){return s=s|0,(n[(uT()|0)+24>>2]|0)+(s<<3)|0}function eRe(s){return s=s|0,tRe(CD[s&7]()|0)|0}function tRe(s){return s=s|0,s|0}function rRe(){var s=0;return o[7880]|0||(cRe(10280),tr(25,10280,U|0)|0,s=7880,n[s>>2]=1,n[s+4>>2]=0),10280}function nRe(s,l){s=s|0,l=l|0,n[s>>2]=iRe()|0,n[s+4>>2]=sRe()|0,n[s+12>>2]=l,n[s+8>>2]=oRe()|0,n[s+32>>2]=4}function iRe(){return 11711}function sRe(){return 1356}function oRe(){return aD()|0}function aRe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(lRe(c),gt(c)):l|0&&(vg(l),gt(l))}function lRe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function cRe(s){s=s|0,Bp(s)}function uRe(s){s=s|0,ARe(s,4920),fRe(s)|0,pRe(s)|0}function ARe(s,l){s=s|0,l=l|0;var c=0;c=L5()|0,n[s>>2]=c,RRe(c,l),xp(n[s>>2]|0)}function fRe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,vRe()|0),s|0}function pRe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,hRe()|0),s|0}function hRe(){var s=0;return o[7888]|0||(g9(10328),tr(53,10328,U|0)|0,s=7888,n[s>>2]=1,n[s+4>>2]=0),Rr(10328)|0||g9(10328),10328}function bg(s,l){s=s|0,l=l|0,hn(s,0,l,0,0,0)}function g9(s){s=s|0,mRe(s),kg(s,10)}function gRe(s){s=s|0,dRe(s+24|0)}function dRe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function mRe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,5,1,l,wRe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function yRe(s,l,c){s=s|0,l=l|0,c=+c,ERe(s,l,c)}function kg(s,l){s=s|0,l=l|0,n[s+20>>2]=l}function ERe(s,l,c){s=s|0,l=l|0,c=+c;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+16|0,m=f+8|0,k=f+13|0,d=f,B=f+12|0,XA(k,l),n[m>>2]=ZA(k,l)|0,ku(B,c),E[d>>3]=+Qu(B,c),CRe(s,m,d),C=f}function CRe(s,l,c){s=s|0,l=l|0,c=c|0,Y(s+8|0,n[l>>2]|0,+E[c>>3]),o[s+24>>0]=1}function wRe(){return 1404}function IRe(s,l){return s=s|0,l=+l,BRe(s,l)|0}function BRe(s,l){s=s|0,l=+l;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return f=C,C=C+16|0,m=f+4|0,B=f+8|0,k=f,d=Wa(8)|0,c=d,Q=Vt(16)|0,XA(m,s),s=ZA(m,s)|0,ku(B,l),Y(Q,s,+Qu(B,l)),B=c+4|0,n[B>>2]=Q,s=Vt(8)|0,B=n[B>>2]|0,n[k>>2]=0,n[m>>2]=n[k>>2],JF(s,B,m),n[d>>2]=s,C=f,c|0}function vRe(){var s=0;return o[7896]|0||(d9(10364),tr(54,10364,U|0)|0,s=7896,n[s>>2]=1,n[s+4>>2]=0),Rr(10364)|0||d9(10364),10364}function d9(s){s=s|0,SRe(s),kg(s,55)}function DRe(s){s=s|0,PRe(s+24|0)}function PRe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function SRe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,5,4,l,QRe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function xRe(s){s=s|0,bRe(s)}function bRe(s){s=s|0,kRe(s)}function kRe(s){s=s|0,m9(s+8|0),o[s+24>>0]=1}function m9(s){s=s|0,n[s>>2]=0,E[s+8>>3]=0}function QRe(){return 1424}function FRe(){return TRe()|0}function TRe(){var s=0,l=0,c=0,f=0,d=0,m=0,B=0;return l=C,C=C+16|0,d=l+4|0,B=l,c=Wa(8)|0,s=c,f=Vt(16)|0,m9(f),m=s+4|0,n[m>>2]=f,f=Vt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],JF(f,m,d),n[c>>2]=f,C=l,s|0}function RRe(s,l){s=s|0,l=l|0,n[s>>2]=NRe()|0,n[s+4>>2]=LRe()|0,n[s+12>>2]=l,n[s+8>>2]=MRe()|0,n[s+32>>2]=5}function NRe(){return 11710}function LRe(){return 1416}function MRe(){return lD()|0}function ORe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(URe(c),gt(c)):l|0&&gt(l)}function URe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function lD(){var s=0;return o[7904]|0||(n[2600]=_Re()|0,n[2601]=0,s=7904,n[s>>2]=1,n[s+4>>2]=0),10400}function _Re(){return n[357]|0}function HRe(s){s=s|0,jRe(s,4926),qRe(s)|0}function jRe(s,l){s=s|0,l=l|0;var c=0;c=s5()|0,n[s>>2]=c,eNe(c,l),xp(n[s>>2]|0)}function qRe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,GRe()|0),s|0}function GRe(){var s=0;return o[7912]|0||(y9(10412),tr(56,10412,U|0)|0,s=7912,n[s>>2]=1,n[s+4>>2]=0),Rr(10412)|0||y9(10412),10412}function y9(s){s=s|0,VRe(s),kg(s,57)}function YRe(s){s=s|0,WRe(s+24|0)}function WRe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function VRe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,5,5,l,XRe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function KRe(s){s=s|0,JRe(s)}function JRe(s){s=s|0,zRe(s)}function zRe(s){s=s|0;var l=0,c=0;l=s+8|0,c=l+48|0;do n[l>>2]=0,l=l+4|0;while((l|0)<(c|0));o[s+56>>0]=1}function XRe(){return 1432}function ZRe(){return $Re()|0}function $Re(){var s=0,l=0,c=0,f=0,d=0,m=0,B=0,k=0;B=C,C=C+16|0,s=B+4|0,l=B,c=Wa(8)|0,f=c,d=Vt(48)|0,m=d,k=m+48|0;do n[m>>2]=0,m=m+4|0;while((m|0)<(k|0));return m=f+4|0,n[m>>2]=d,k=Vt(8)|0,m=n[m>>2]|0,n[l>>2]=0,n[s>>2]=n[l>>2],o5(k,m,s),n[c>>2]=k,C=B,f|0}function eNe(s,l){s=s|0,l=l|0,n[s>>2]=tNe()|0,n[s+4>>2]=rNe()|0,n[s+12>>2]=l,n[s+8>>2]=nNe()|0,n[s+32>>2]=6}function tNe(){return 11704}function rNe(){return 1436}function nNe(){return lD()|0}function iNe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(sNe(c),gt(c)):l|0&&gt(l)}function sNe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function oNe(s){s=s|0,aNe(s,4933),lNe(s)|0,cNe(s)|0}function aNe(s,l){s=s|0,l=l|0;var c=0;c=TNe()|0,n[s>>2]=c,RNe(c,l),xp(n[s>>2]|0)}function lNe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,BNe()|0),s|0}function cNe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,uNe()|0),s|0}function uNe(){var s=0;return o[7920]|0||(E9(10452),tr(58,10452,U|0)|0,s=7920,n[s>>2]=1,n[s+4>>2]=0),Rr(10452)|0||E9(10452),10452}function E9(s){s=s|0,pNe(s),kg(s,1)}function ANe(s){s=s|0,fNe(s+24|0)}function fNe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function pNe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,5,1,l,mNe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function hNe(s,l,c){s=s|0,l=+l,c=+c,gNe(s,l,c)}function gNe(s,l,c){s=s|0,l=+l,c=+c;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+32|0,m=f+8|0,k=f+17|0,d=f,B=f+16|0,ku(k,l),E[m>>3]=+Qu(k,l),ku(B,c),E[d>>3]=+Qu(B,c),dNe(s,m,d),C=f}function dNe(s,l,c){s=s|0,l=l|0,c=c|0,C9(s+8|0,+E[l>>3],+E[c>>3]),o[s+24>>0]=1}function C9(s,l,c){s=s|0,l=+l,c=+c,E[s>>3]=l,E[s+8>>3]=c}function mNe(){return 1472}function yNe(s,l){return s=+s,l=+l,ENe(s,l)|0}function ENe(s,l){s=+s,l=+l;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return f=C,C=C+16|0,B=f+4|0,k=f+8|0,Q=f,d=Wa(8)|0,c=d,m=Vt(16)|0,ku(B,s),s=+Qu(B,s),ku(k,l),C9(m,s,+Qu(k,l)),k=c+4|0,n[k>>2]=m,m=Vt(8)|0,k=n[k>>2]|0,n[Q>>2]=0,n[B>>2]=n[Q>>2],w9(m,k,B),n[d>>2]=m,C=f,c|0}function w9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,c=Vt(16)|0,n[c+4>>2]=0,n[c+8>>2]=0,n[c>>2]=1452,n[c+12>>2]=l,n[s+4>>2]=c}function CNe(s){s=s|0,Jm(s),gt(s)}function wNe(s){s=s|0,s=n[s+12>>2]|0,s|0&&gt(s)}function INe(s){s=s|0,gt(s)}function BNe(){var s=0;return o[7928]|0||(I9(10488),tr(59,10488,U|0)|0,s=7928,n[s>>2]=1,n[s+4>>2]=0),Rr(10488)|0||I9(10488),10488}function I9(s){s=s|0,PNe(s),kg(s,60)}function vNe(s){s=s|0,DNe(s+24|0)}function DNe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function PNe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,5,6,l,kNe()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function SNe(s){s=s|0,xNe(s)}function xNe(s){s=s|0,bNe(s)}function bNe(s){s=s|0,B9(s+8|0),o[s+24>>0]=1}function B9(s){s=s|0,n[s>>2]=0,n[s+4>>2]=0,n[s+8>>2]=0,n[s+12>>2]=0}function kNe(){return 1492}function QNe(){return FNe()|0}function FNe(){var s=0,l=0,c=0,f=0,d=0,m=0,B=0;return l=C,C=C+16|0,d=l+4|0,B=l,c=Wa(8)|0,s=c,f=Vt(16)|0,B9(f),m=s+4|0,n[m>>2]=f,f=Vt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],w9(f,m,d),n[c>>2]=f,C=l,s|0}function TNe(){var s=0;return o[7936]|0||(_Ne(10524),tr(25,10524,U|0)|0,s=7936,n[s>>2]=1,n[s+4>>2]=0),10524}function RNe(s,l){s=s|0,l=l|0,n[s>>2]=NNe()|0,n[s+4>>2]=LNe()|0,n[s+12>>2]=l,n[s+8>>2]=MNe()|0,n[s+32>>2]=7}function NNe(){return 11700}function LNe(){return 1484}function MNe(){return lD()|0}function ONe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(UNe(c),gt(c)):l|0&&gt(l)}function UNe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function _Ne(s){s=s|0,Bp(s)}function HNe(s,l,c){s=s|0,l=l|0,c=c|0,s=pn(l)|0,l=jNe(c)|0,c=qNe(c,0)|0,ELe(s,l,c,AT()|0,0)}function jNe(s){return s=s|0,s|0}function qNe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=AT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(D9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(zNe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function AT(){var s=0,l=0;if(o[7944]|0||(v9(10568),tr(61,10568,U|0)|0,l=7944,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10568)|0)){s=10568,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));v9(10568)}return 10568}function v9(s){s=s|0,WNe(s)}function GNe(s){s=s|0,YNe(s+24|0)}function YNe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function WNe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,17,l,B5()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function VNe(s){return s=s|0,JNe(n[(KNe(s)|0)>>2]|0)|0}function KNe(s){return s=s|0,(n[(AT()|0)+24>>2]|0)+(s<<3)|0}function JNe(s){return s=s|0,oD(CD[s&7]()|0)|0}function D9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function zNe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=XNe(s)|0,f>>>0<B>>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,ZNe(d,M>>3>>>0<f>>>1>>>0?O>>>0<B>>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,D9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,$Ne(s,d),eLe(d),C=k;return}}function XNe(s){return s=s|0,536870911}function ZNe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function $Ne(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function eLe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&&gt(s)}function tLe(){rLe()}function rLe(){nLe(10604)}function nLe(s){s=s|0,iLe(s,4955)}function iLe(s,l){s=s|0,l=l|0;var c=0;c=sLe()|0,n[s>>2]=c,oLe(c,l),xp(n[s>>2]|0)}function sLe(){var s=0;return o[7952]|0||(gLe(10612),tr(25,10612,U|0)|0,s=7952,n[s>>2]=1,n[s+4>>2]=0),10612}function oLe(s,l){s=s|0,l=l|0,n[s>>2]=uLe()|0,n[s+4>>2]=ALe()|0,n[s+12>>2]=l,n[s+8>>2]=fLe()|0,n[s+32>>2]=8}function xp(s){s=s|0;var l=0,c=0;l=C,C=C+16|0,c=l,Gm()|0,n[c>>2]=s,aLe(10608,c),C=l}function Gm(){return o[11714]|0||(n[2652]=0,tr(62,10608,U|0)|0,o[11714]=1),10608}function aLe(s,l){s=s|0,l=l|0;var c=0;c=Vt(8)|0,n[c+4>>2]=n[l>>2],n[c>>2]=n[s>>2],n[s>>2]=c}function lLe(s){s=s|0,cLe(s)}function cLe(s){s=s|0;var l=0,c=0;if(l=n[s>>2]|0,l|0)do c=l,l=n[l>>2]|0,gt(c);while((l|0)!=0);n[s>>2]=0}function uLe(){return 11715}function ALe(){return 1496}function fLe(){return aD()|0}function pLe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(hLe(c),gt(c)):l|0&&gt(l)}function hLe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function gLe(s){s=s|0,Bp(s)}function dLe(s,l){s=s|0,l=l|0;var c=0,f=0;Gm()|0,c=n[2652]|0;e:do if(c|0){for(;f=n[c+4>>2]|0,!(f|0&&(o7(fT(f)|0,s)|0)==0);)if(c=n[c>>2]|0,!c)break e;mLe(f,l)}while(0)}function fT(s){return s=s|0,n[s+12>>2]|0}function mLe(s,l){s=s|0,l=l|0;var c=0;s=s+36|0,c=n[s>>2]|0,c|0&&(jA(c),gt(c)),c=Vt(4)|0,$G(c,l),n[s>>2]=c}function pT(){return o[11716]|0||(n[2664]=0,tr(63,10656,U|0)|0,o[11716]=1),10656}function P9(){var s=0;return o[11717]|0?s=n[2665]|0:(yLe(),n[2665]=1504,o[11717]=1,s=1504),s|0}function yLe(){o[11740]|0||(o[11718]=gr(gr(8,0)|0,0)|0,o[11719]=gr(gr(0,0)|0,0)|0,o[11720]=gr(gr(0,16)|0,0)|0,o[11721]=gr(gr(8,0)|0,0)|0,o[11722]=gr(gr(0,0)|0,0)|0,o[11723]=gr(gr(8,0)|0,0)|0,o[11724]=gr(gr(0,0)|0,0)|0,o[11725]=gr(gr(8,0)|0,0)|0,o[11726]=gr(gr(0,0)|0,0)|0,o[11727]=gr(gr(8,0)|0,0)|0,o[11728]=gr(gr(0,0)|0,0)|0,o[11729]=gr(gr(0,0)|0,32)|0,o[11730]=gr(gr(0,0)|0,32)|0,o[11740]=1)}function S9(){return 1572}function ELe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0,O=0,M=0;m=C,C=C+32|0,M=m+16|0,O=m+12|0,Q=m+8|0,k=m+4|0,B=m,n[M>>2]=s,n[O>>2]=l,n[Q>>2]=c,n[k>>2]=f,n[B>>2]=d,pT()|0,CLe(10656,M,O,Q,k,B),C=m}function CLe(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0;B=Vt(24)|0,r5(B+4|0,n[l>>2]|0,n[c>>2]|0,n[f>>2]|0,n[d>>2]|0,n[m>>2]|0),n[B>>2]=n[s>>2],n[s>>2]=B}function x9(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0,et=0,Xe=0,at=0;if(at=C,C=C+32|0,Oe=at+20|0,Fe=at+8|0,et=at+4|0,Xe=at,l=n[l>>2]|0,l|0){Ge=Oe+4|0,Q=Oe+8|0,O=Fe+4|0,M=Fe+8|0,q=Fe+8|0,se=Oe+8|0;do{if(B=l+4|0,k=hT(B)|0,k|0){if(d=Rw(k)|0,n[Oe>>2]=0,n[Ge>>2]=0,n[Q>>2]=0,f=(Nw(k)|0)+1|0,wLe(Oe,f),f|0)for(;f=f+-1|0,xc(Fe,n[d>>2]|0),m=n[Ge>>2]|0,m>>>0<(n[se>>2]|0)>>>0?(n[m>>2]=n[Fe>>2],n[Ge>>2]=(n[Ge>>2]|0)+4):gT(Oe,Fe),f;)d=d+4|0;f=Lw(k)|0,n[Fe>>2]=0,n[O>>2]=0,n[M>>2]=0;e:do if(n[f>>2]|0)for(d=0,m=0;;){if((d|0)==(m|0)?ILe(Fe,f):(n[d>>2]=n[f>>2],n[O>>2]=(n[O>>2]|0)+4),f=f+4|0,!(n[f>>2]|0))break e;d=n[O>>2]|0,m=n[q>>2]|0}while(0);n[et>>2]=cD(B)|0,n[Xe>>2]=Rr(k)|0,BLe(c,s,et,Xe,Oe,Fe),dT(Fe),$A(Oe)}l=n[l>>2]|0}while((l|0)!=0)}C=at}function hT(s){return s=s|0,n[s+12>>2]|0}function Rw(s){return s=s|0,n[s+12>>2]|0}function Nw(s){return s=s|0,n[s+16>>2]|0}function wLe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;d=C,C=C+32|0,c=d,f=n[s>>2]|0,(n[s+8>>2]|0)-f>>2>>>0<l>>>0&&(L9(c,l,(n[s+4>>2]|0)-f>>2,s+8|0),M9(s,c),O9(c)),C=d}function gT(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0;if(B=C,C=C+32|0,c=B,f=s+4|0,d=((n[f>>2]|0)-(n[s>>2]|0)>>2)+1|0,m=N9(s)|0,m>>>0<d>>>0)zr(s);else{k=n[s>>2]|0,O=(n[s+8>>2]|0)-k|0,Q=O>>1,L9(c,O>>2>>>0<m>>>1>>>0?Q>>>0<d>>>0?d:Q:m,(n[f>>2]|0)-k>>2,s+8|0),m=c+8|0,n[n[m>>2]>>2]=n[l>>2],n[m>>2]=(n[m>>2]|0)+4,M9(s,c),O9(c),C=B;return}}function Lw(s){return s=s|0,n[s+8>>2]|0}function ILe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0;if(B=C,C=C+32|0,c=B,f=s+4|0,d=((n[f>>2]|0)-(n[s>>2]|0)>>2)+1|0,m=R9(s)|0,m>>>0<d>>>0)zr(s);else{k=n[s>>2]|0,O=(n[s+8>>2]|0)-k|0,Q=O>>1,jLe(c,O>>2>>>0<m>>>1>>>0?Q>>>0<d>>>0?d:Q:m,(n[f>>2]|0)-k>>2,s+8|0),m=c+8|0,n[n[m>>2]>>2]=n[l>>2],n[m>>2]=(n[m>>2]|0)+4,qLe(s,c),GLe(c),C=B;return}}function cD(s){return s=s|0,n[s>>2]|0}function BLe(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,vLe(s,l,c,f,d,m)}function dT(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-4-f|0)>>>2)<<2)),gt(c))}function $A(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-4-f|0)>>>2)<<2)),gt(c))}function vLe(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0,k=0,Q=0,O=0,M=0,q=0;B=C,C=C+48|0,M=B+40|0,k=B+32|0,q=B+24|0,Q=B+12|0,O=B,Va(k),s=da(s)|0,n[q>>2]=n[l>>2],c=n[c>>2]|0,f=n[f>>2]|0,mT(Q,d),DLe(O,m),n[M>>2]=n[q>>2],PLe(s,M,c,f,Q,O),dT(O),$A(Q),Ka(k),C=B}function mT(s,l){s=s|0,l=l|0;var c=0,f=0;n[s>>2]=0,n[s+4>>2]=0,n[s+8>>2]=0,c=l+4|0,f=(n[c>>2]|0)-(n[l>>2]|0)>>2,f|0&&(_Le(s,f),HLe(s,n[l>>2]|0,n[c>>2]|0,f))}function DLe(s,l){s=s|0,l=l|0;var c=0,f=0;n[s>>2]=0,n[s+4>>2]=0,n[s+8>>2]=0,c=l+4|0,f=(n[c>>2]|0)-(n[l>>2]|0)>>2,f|0&&(OLe(s,f),ULe(s,n[l>>2]|0,n[c>>2]|0,f))}function PLe(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0,k=0,Q=0,O=0,M=0,q=0;B=C,C=C+32|0,M=B+28|0,q=B+24|0,k=B+12|0,Q=B,O=Pl(SLe()|0)|0,n[q>>2]=n[l>>2],n[M>>2]=n[q>>2],l=Qg(M)|0,c=b9(c)|0,f=yT(f)|0,n[k>>2]=n[d>>2],M=d+4|0,n[k+4>>2]=n[M>>2],q=d+8|0,n[k+8>>2]=n[q>>2],n[q>>2]=0,n[M>>2]=0,n[d>>2]=0,d=ET(k)|0,n[Q>>2]=n[m>>2],M=m+4|0,n[Q+4>>2]=n[M>>2],q=m+8|0,n[Q+8>>2]=n[q>>2],n[q>>2]=0,n[M>>2]=0,n[m>>2]=0,ao(0,O|0,s|0,l|0,c|0,f|0,d|0,xLe(Q)|0)|0,dT(Q),$A(k),C=B}function SLe(){var s=0;return o[7968]|0||(LLe(10708),s=7968,n[s>>2]=1,n[s+4>>2]=0),10708}function Qg(s){return s=s|0,Q9(s)|0}function b9(s){return s=s|0,k9(s)|0}function yT(s){return s=s|0,oD(s)|0}function ET(s){return s=s|0,kLe(s)|0}function xLe(s){return s=s|0,bLe(s)|0}function bLe(s){s=s|0;var l=0,c=0,f=0;if(f=(n[s+4>>2]|0)-(n[s>>2]|0)|0,c=f>>2,f=Wa(f+4|0)|0,n[f>>2]=c,c|0){l=0;do n[f+4+(l<<2)>>2]=k9(n[(n[s>>2]|0)+(l<<2)>>2]|0)|0,l=l+1|0;while((l|0)!=(c|0))}return f|0}function k9(s){return s=s|0,s|0}function kLe(s){s=s|0;var l=0,c=0,f=0;if(f=(n[s+4>>2]|0)-(n[s>>2]|0)|0,c=f>>2,f=Wa(f+4|0)|0,n[f>>2]=c,c|0){l=0;do n[f+4+(l<<2)>>2]=Q9((n[s>>2]|0)+(l<<2)|0)|0,l=l+1|0;while((l|0)!=(c|0))}return f|0}function Q9(s){s=s|0;var l=0,c=0,f=0,d=0;return d=C,C=C+32|0,l=d+12|0,c=d,f=QF(F9()|0)|0,f?(FF(l,f),TF(c,l),fUe(s,c),s=RF(l)|0):s=QLe(s)|0,C=d,s|0}function F9(){var s=0;return o[7960]|0||(NLe(10664),tr(25,10664,U|0)|0,s=7960,n[s>>2]=1,n[s+4>>2]=0),10664}function QLe(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0;return c=C,C=C+16|0,d=c+4|0,B=c,f=Wa(8)|0,l=f,k=Vt(4)|0,n[k>>2]=n[s>>2],m=l+4|0,n[m>>2]=k,s=Vt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],T9(s,m,d),n[f>>2]=s,C=c,l|0}function T9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,c=Vt(16)|0,n[c+4>>2]=0,n[c+8>>2]=0,n[c>>2]=1656,n[c+12>>2]=l,n[s+4>>2]=c}function FLe(s){s=s|0,Jm(s),gt(s)}function TLe(s){s=s|0,s=n[s+12>>2]|0,s|0&&gt(s)}function RLe(s){s=s|0,gt(s)}function NLe(s){s=s|0,Bp(s)}function LLe(s){s=s|0,Sl(s,MLe()|0,5)}function MLe(){return 1676}function OLe(s,l){s=s|0,l=l|0;var c=0;if((R9(s)|0)>>>0<l>>>0&&zr(s),l>>>0>1073741823)Tt();else{c=Vt(l<<2)|0,n[s+4>>2]=c,n[s>>2]=c,n[s+8>>2]=c+(l<<2);return}}function ULe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,f=s+4|0,s=c-l|0,(s|0)>0&&(Dr(n[f>>2]|0,l|0,s|0)|0,n[f>>2]=(n[f>>2]|0)+(s>>>2<<2))}function R9(s){return s=s|0,1073741823}function _Le(s,l){s=s|0,l=l|0;var c=0;if((N9(s)|0)>>>0<l>>>0&&zr(s),l>>>0>1073741823)Tt();else{c=Vt(l<<2)|0,n[s+4>>2]=c,n[s>>2]=c,n[s+8>>2]=c+(l<<2);return}}function HLe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,f=s+4|0,s=c-l|0,(s|0)>0&&(Dr(n[f>>2]|0,l|0,s|0)|0,n[f>>2]=(n[f>>2]|0)+(s>>>2<<2))}function N9(s){return s=s|0,1073741823}function jLe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>1073741823)Tt();else{d=Vt(l<<2)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<2)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<2)}function qLe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>2)<<2)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function GLe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-4-l|0)>>>2)<<2)),s=n[s>>2]|0,s|0&&gt(s)}function L9(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>1073741823)Tt();else{d=Vt(l<<2)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<2)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<2)}function M9(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>2)<<2)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function O9(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-4-l|0)>>>2)<<2)),s=n[s>>2]|0,s|0&&gt(s)}function YLe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0;if(Fe=C,C=C+32|0,M=Fe+20|0,q=Fe+12|0,O=Fe+16|0,se=Fe+4|0,Ge=Fe,Oe=Fe+8|0,k=P9()|0,m=n[k>>2]|0,B=n[m>>2]|0,B|0)for(Q=n[k+8>>2]|0,k=n[k+4>>2]|0;xc(M,B),WLe(s,M,k,Q),m=m+4|0,B=n[m>>2]|0,B;)Q=Q+1|0,k=k+1|0;if(m=S9()|0,B=n[m>>2]|0,B|0)do xc(M,B),n[q>>2]=n[m+4>>2],VLe(l,M,q),m=m+8|0,B=n[m>>2]|0;while((B|0)!=0);if(m=n[(Gm()|0)>>2]|0,m|0)do l=n[m+4>>2]|0,xc(M,n[(Ym(l)|0)>>2]|0),n[q>>2]=fT(l)|0,KLe(c,M,q),m=n[m>>2]|0;while((m|0)!=0);if(xc(O,0),m=pT()|0,n[M>>2]=n[O>>2],x9(M,m,d),m=n[(Gm()|0)>>2]|0,m|0){s=M+4|0,l=M+8|0,c=M+8|0;do{if(Q=n[m+4>>2]|0,xc(q,n[(Ym(Q)|0)>>2]|0),JLe(se,U9(Q)|0),B=n[se>>2]|0,B|0){n[M>>2]=0,n[s>>2]=0,n[l>>2]=0;do xc(Ge,n[(Ym(n[B+4>>2]|0)|0)>>2]|0),k=n[s>>2]|0,k>>>0<(n[c>>2]|0)>>>0?(n[k>>2]=n[Ge>>2],n[s>>2]=(n[s>>2]|0)+4):gT(M,Ge),B=n[B>>2]|0;while((B|0)!=0);zLe(f,q,M),$A(M)}n[Oe>>2]=n[q>>2],O=_9(Q)|0,n[M>>2]=n[Oe>>2],x9(M,O,d),l5(se),m=n[m>>2]|0}while((m|0)!=0)}C=Fe}function WLe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,lMe(s,l,c,f)}function VLe(s,l,c){s=s|0,l=l|0,c=c|0,aMe(s,l,c)}function Ym(s){return s=s|0,s|0}function KLe(s,l,c){s=s|0,l=l|0,c=c|0,nMe(s,l,c)}function U9(s){return s=s|0,s+16|0}function JLe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;if(m=C,C=C+16|0,d=m+8|0,c=m,n[s>>2]=0,f=n[l>>2]|0,n[d>>2]=f,n[c>>2]=s,c=rMe(c)|0,f|0){if(f=Vt(12)|0,B=(H9(d)|0)+4|0,s=n[B+4>>2]|0,l=f+4|0,n[l>>2]=n[B>>2],n[l+4>>2]=s,l=n[n[d>>2]>>2]|0,n[d>>2]=l,!l)s=f;else for(l=f;s=Vt(12)|0,Q=(H9(d)|0)+4|0,k=n[Q+4>>2]|0,B=s+4|0,n[B>>2]=n[Q>>2],n[B+4>>2]=k,n[l>>2]=s,B=n[n[d>>2]>>2]|0,n[d>>2]=B,B;)l=s;n[s>>2]=n[c>>2],n[c>>2]=f}C=m}function zLe(s,l,c){s=s|0,l=l|0,c=c|0,XLe(s,l,c)}function _9(s){return s=s|0,s+24|0}function XLe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+32|0,B=f+24|0,d=f+16|0,k=f+12|0,m=f,Va(d),s=da(s)|0,n[k>>2]=n[l>>2],mT(m,c),n[B>>2]=n[k>>2],ZLe(s,B,m),$A(m),Ka(d),C=f}function ZLe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=C,C=C+32|0,B=f+16|0,k=f+12|0,d=f,m=Pl($Le()|0)|0,n[k>>2]=n[l>>2],n[B>>2]=n[k>>2],l=Qg(B)|0,n[d>>2]=n[c>>2],B=c+4|0,n[d+4>>2]=n[B>>2],k=c+8|0,n[d+8>>2]=n[k>>2],n[k>>2]=0,n[B>>2]=0,n[c>>2]=0,oo(0,m|0,s|0,l|0,ET(d)|0)|0,$A(d),C=f}function $Le(){var s=0;return o[7976]|0||(eMe(10720),s=7976,n[s>>2]=1,n[s+4>>2]=0),10720}function eMe(s){s=s|0,Sl(s,tMe()|0,2)}function tMe(){return 1732}function rMe(s){return s=s|0,n[s>>2]|0}function H9(s){return s=s|0,n[s>>2]|0}function nMe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+32|0,m=f+16|0,d=f+8|0,B=f,Va(d),s=da(s)|0,n[B>>2]=n[l>>2],c=n[c>>2]|0,n[m>>2]=n[B>>2],j9(s,m,c),Ka(d),C=f}function j9(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+16|0,m=f+4|0,B=f,d=Pl(iMe()|0)|0,n[B>>2]=n[l>>2],n[m>>2]=n[B>>2],l=Qg(m)|0,oo(0,d|0,s|0,l|0,b9(c)|0)|0,C=f}function iMe(){var s=0;return o[7984]|0||(sMe(10732),s=7984,n[s>>2]=1,n[s+4>>2]=0),10732}function sMe(s){s=s|0,Sl(s,oMe()|0,2)}function oMe(){return 1744}function aMe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;f=C,C=C+32|0,m=f+16|0,d=f+8|0,B=f,Va(d),s=da(s)|0,n[B>>2]=n[l>>2],c=n[c>>2]|0,n[m>>2]=n[B>>2],j9(s,m,c),Ka(d),C=f}function lMe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=C,C=C+32|0,B=d+16|0,m=d+8|0,k=d,Va(m),s=da(s)|0,n[k>>2]=n[l>>2],c=o[c>>0]|0,f=o[f>>0]|0,n[B>>2]=n[k>>2],cMe(s,B,c,f),Ka(m),C=d}function cMe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=C,C=C+16|0,B=d+4|0,k=d,m=Pl(uMe()|0)|0,n[k>>2]=n[l>>2],n[B>>2]=n[k>>2],l=Qg(B)|0,c=Wm(c)|0,pc(0,m|0,s|0,l|0,c|0,Wm(f)|0)|0,C=d}function uMe(){var s=0;return o[7992]|0||(fMe(10744),s=7992,n[s>>2]=1,n[s+4>>2]=0),10744}function Wm(s){return s=s|0,AMe(s)|0}function AMe(s){return s=s|0,s&255|0}function fMe(s){s=s|0,Sl(s,pMe()|0,3)}function pMe(){return 1756}function hMe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;switch(se=C,C=C+32|0,k=se+8|0,Q=se+4|0,O=se+20|0,M=se,OF(s,0),f=AUe(l)|0,n[k>>2]=0,q=k+4|0,n[q>>2]=0,n[k+8>>2]=0,f<<24>>24){case 0:{o[O>>0]=0,gMe(Q,c,O),uD(s,Q)|0,qA(Q);break}case 8:{q=DT(l)|0,o[O>>0]=8,xc(M,n[q+4>>2]|0),dMe(Q,c,O,M,q+8|0),uD(s,Q)|0,qA(Q);break}case 9:{if(m=DT(l)|0,l=n[m+4>>2]|0,l|0)for(B=k+8|0,d=m+12|0;l=l+-1|0,xc(Q,n[d>>2]|0),f=n[q>>2]|0,f>>>0<(n[B>>2]|0)>>>0?(n[f>>2]=n[Q>>2],n[q>>2]=(n[q>>2]|0)+4):gT(k,Q),l;)d=d+4|0;o[O>>0]=9,xc(M,n[m+8>>2]|0),mMe(Q,c,O,M,k),uD(s,Q)|0,qA(Q);break}default:q=DT(l)|0,o[O>>0]=f,xc(M,n[q+4>>2]|0),yMe(Q,c,O,M),uD(s,Q)|0,qA(Q)}$A(k),C=se}function gMe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;f=C,C=C+16|0,d=f,Va(d),l=da(l)|0,QMe(s,l,o[c>>0]|0),Ka(d),C=f}function uD(s,l){s=s|0,l=l|0;var c=0;return c=n[s>>2]|0,c|0&&PA(c|0),n[s>>2]=n[l>>2],n[l>>2]=0,s|0}function dMe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0;m=C,C=C+32|0,k=m+16|0,B=m+8|0,Q=m,Va(B),l=da(l)|0,c=o[c>>0]|0,n[Q>>2]=n[f>>2],d=n[d>>2]|0,n[k>>2]=n[Q>>2],SMe(s,l,c,k,d),Ka(B),C=m}function mMe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0,O=0;m=C,C=C+32|0,Q=m+24|0,B=m+16|0,O=m+12|0,k=m,Va(B),l=da(l)|0,c=o[c>>0]|0,n[O>>2]=n[f>>2],mT(k,d),n[Q>>2]=n[O>>2],BMe(s,l,c,Q,k),$A(k),Ka(B),C=m}function yMe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=C,C=C+32|0,B=d+16|0,m=d+8|0,k=d,Va(m),l=da(l)|0,c=o[c>>0]|0,n[k>>2]=n[f>>2],n[B>>2]=n[k>>2],EMe(s,l,c,B),Ka(m),C=d}function EMe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0,B=0,k=0;d=C,C=C+16|0,m=d+4|0,k=d,B=Pl(CMe()|0)|0,c=Wm(c)|0,n[k>>2]=n[f>>2],n[m>>2]=n[k>>2],AD(s,oo(0,B|0,l|0,c|0,Qg(m)|0)|0),C=d}function CMe(){var s=0;return o[8e3]|0||(wMe(10756),s=8e3,n[s>>2]=1,n[s+4>>2]=0),10756}function AD(s,l){s=s|0,l=l|0,OF(s,l)}function wMe(s){s=s|0,Sl(s,IMe()|0,2)}function IMe(){return 1772}function BMe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0,O=0;m=C,C=C+32|0,Q=m+16|0,O=m+12|0,B=m,k=Pl(vMe()|0)|0,c=Wm(c)|0,n[O>>2]=n[f>>2],n[Q>>2]=n[O>>2],f=Qg(Q)|0,n[B>>2]=n[d>>2],Q=d+4|0,n[B+4>>2]=n[Q>>2],O=d+8|0,n[B+8>>2]=n[O>>2],n[O>>2]=0,n[Q>>2]=0,n[d>>2]=0,AD(s,pc(0,k|0,l|0,c|0,f|0,ET(B)|0)|0),$A(B),C=m}function vMe(){var s=0;return o[8008]|0||(DMe(10768),s=8008,n[s>>2]=1,n[s+4>>2]=0),10768}function DMe(s){s=s|0,Sl(s,PMe()|0,3)}function PMe(){return 1784}function SMe(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0;m=C,C=C+16|0,k=m+4|0,Q=m,B=Pl(xMe()|0)|0,c=Wm(c)|0,n[Q>>2]=n[f>>2],n[k>>2]=n[Q>>2],f=Qg(k)|0,AD(s,pc(0,B|0,l|0,c|0,f|0,yT(d)|0)|0),C=m}function xMe(){var s=0;return o[8016]|0||(bMe(10780),s=8016,n[s>>2]=1,n[s+4>>2]=0),10780}function bMe(s){s=s|0,Sl(s,kMe()|0,3)}function kMe(){return 1800}function QMe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;f=Pl(FMe()|0)|0,AD(s,Qn(0,f|0,l|0,Wm(c)|0)|0)}function FMe(){var s=0;return o[8024]|0||(TMe(10792),s=8024,n[s>>2]=1,n[s+4>>2]=0),10792}function TMe(s){s=s|0,Sl(s,RMe()|0,1)}function RMe(){return 1816}function NMe(){LMe(),MMe(),OMe()}function LMe(){n[2702]=d7(65536)|0}function MMe(){iOe(10856)}function OMe(){UMe(10816)}function UMe(s){s=s|0,_Me(s,5044),HMe(s)|0}function _Me(s,l){s=s|0,l=l|0;var c=0;c=F9()|0,n[s>>2]=c,ZMe(c,l),xp(n[s>>2]|0)}function HMe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,jMe()|0),s|0}function jMe(){var s=0;return o[8032]|0||(q9(10820),tr(64,10820,U|0)|0,s=8032,n[s>>2]=1,n[s+4>>2]=0),Rr(10820)|0||q9(10820),10820}function q9(s){s=s|0,YMe(s),kg(s,25)}function qMe(s){s=s|0,GMe(s+24|0)}function GMe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function YMe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,5,18,l,JMe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function WMe(s,l){s=s|0,l=l|0,VMe(s,l)}function VMe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;c=C,C=C+16|0,f=c,d=c+4|0,Sg(d,l),n[f>>2]=xg(d,l)|0,KMe(s,f),C=c}function KMe(s,l){s=s|0,l=l|0,G9(s+4|0,n[l>>2]|0),o[s+8>>0]=1}function G9(s,l){s=s|0,l=l|0,n[s>>2]=l}function JMe(){return 1824}function zMe(s){return s=s|0,XMe(s)|0}function XMe(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0;return c=C,C=C+16|0,d=c+4|0,B=c,f=Wa(8)|0,l=f,k=Vt(4)|0,Sg(d,s),G9(k,xg(d,s)|0),m=l+4|0,n[m>>2]=k,s=Vt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],T9(s,m,d),n[f>>2]=s,C=c,l|0}function Wa(s){s=s|0;var l=0,c=0;return s=s+7&-8,s>>>0<=32768&&(l=n[2701]|0,s>>>0<=(65536-l|0)>>>0)?(c=(n[2702]|0)+l|0,n[2701]=l+s,s=c):(s=d7(s+8|0)|0,n[s>>2]=n[2703],n[2703]=s,s=s+8|0),s|0}function ZMe(s,l){s=s|0,l=l|0,n[s>>2]=$Me()|0,n[s+4>>2]=eOe()|0,n[s+12>>2]=l,n[s+8>>2]=tOe()|0,n[s+32>>2]=9}function $Me(){return 11744}function eOe(){return 1832}function tOe(){return lD()|0}function rOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(nOe(c),gt(c)):l|0&&gt(l)}function nOe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function iOe(s){s=s|0,sOe(s,5052),oOe(s)|0,aOe(s,5058,26)|0,lOe(s,5069,1)|0,cOe(s,5077,10)|0,uOe(s,5087,19)|0,AOe(s,5094,27)|0}function sOe(s,l){s=s|0,l=l|0;var c=0;c=nUe()|0,n[s>>2]=c,iUe(c,l),xp(n[s>>2]|0)}function oOe(s){s=s|0;var l=0;return l=n[s>>2]|0,bg(l,q4e()|0),s|0}function aOe(s,l,c){return s=s|0,l=l|0,c=c|0,D4e(s,pn(l)|0,c,0),s|0}function lOe(s,l,c){return s=s|0,l=l|0,c=c|0,u4e(s,pn(l)|0,c,0),s|0}function cOe(s,l,c){return s=s|0,l=l|0,c=c|0,jOe(s,pn(l)|0,c,0),s|0}function uOe(s,l,c){return s=s|0,l=l|0,c=c|0,SOe(s,pn(l)|0,c,0),s|0}function Y9(s,l){s=s|0,l=l|0;var c=0,f=0;e:for(;;){for(c=n[2703]|0;;){if((c|0)==(l|0))break e;if(f=n[c>>2]|0,n[2703]=f,!c)c=f;else break}gt(c)}n[2701]=s}function AOe(s,l,c){return s=s|0,l=l|0,c=c|0,fOe(s,pn(l)|0,c,0),s|0}function fOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=CT()|0,s=pOe(c)|0,hn(m,l,d,s,hOe(c,f)|0,f)}function CT(){var s=0,l=0;if(o[8040]|0||(V9(10860),tr(65,10860,U|0)|0,l=8040,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10860)|0)){s=10860,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));V9(10860)}return 10860}function pOe(s){return s=s|0,s|0}function hOe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=CT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(W9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(gOe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function W9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function gOe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=dOe(s)|0,f>>>0<B>>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,mOe(d,M>>3>>>0<f>>>1>>>0?O>>>0<B>>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,W9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,yOe(s,d),EOe(d),C=k;return}}function dOe(s){return s=s|0,536870911}function mOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function yOe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function EOe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&&gt(s)}function V9(s){s=s|0,IOe(s)}function COe(s){s=s|0,wOe(s+24|0)}function wOe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function IOe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,11,l,BOe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function BOe(){return 1840}function vOe(s,l,c){s=s|0,l=l|0,c=c|0,POe(n[(DOe(s)|0)>>2]|0,l,c)}function DOe(s){return s=s|0,(n[(CT()|0)+24>>2]|0)+(s<<3)|0}function POe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;f=C,C=C+16|0,m=f+1|0,d=f,Sg(m,l),l=xg(m,l)|0,Sg(d,c),c=xg(d,c)|0,tf[s&31](l,c),C=f}function SOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=wT()|0,s=xOe(c)|0,hn(m,l,d,s,bOe(c,f)|0,f)}function wT(){var s=0,l=0;if(o[8048]|0||(J9(10896),tr(66,10896,U|0)|0,l=8048,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10896)|0)){s=10896,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));J9(10896)}return 10896}function xOe(s){return s=s|0,s|0}function bOe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=wT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(K9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(kOe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function K9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function kOe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=QOe(s)|0,f>>>0<B>>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,FOe(d,M>>3>>>0<f>>>1>>>0?O>>>0<B>>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,K9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,TOe(s,d),ROe(d),C=k;return}}function QOe(s){return s=s|0,536870911}function FOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function TOe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function ROe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&&gt(s)}function J9(s){s=s|0,MOe(s)}function NOe(s){s=s|0,LOe(s+24|0)}function LOe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function MOe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,11,l,OOe()|0,1),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function OOe(){return 1852}function UOe(s,l){return s=s|0,l=l|0,HOe(n[(_Oe(s)|0)>>2]|0,l)|0}function _Oe(s){return s=s|0,(n[(wT()|0)+24>>2]|0)+(s<<3)|0}function HOe(s,l){s=s|0,l=l|0;var c=0,f=0;return c=C,C=C+16|0,f=c,Sg(f,l),l=xg(f,l)|0,l=oD(Ng[s&31](l)|0)|0,C=c,l|0}function jOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=IT()|0,s=qOe(c)|0,hn(m,l,d,s,GOe(c,f)|0,f)}function IT(){var s=0,l=0;if(o[8056]|0||(X9(10932),tr(67,10932,U|0)|0,l=8056,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10932)|0)){s=10932,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));X9(10932)}return 10932}function qOe(s){return s=s|0,s|0}function GOe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=IT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(z9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(YOe(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function z9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function YOe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=WOe(s)|0,f>>>0<B>>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,VOe(d,M>>3>>>0<f>>>1>>>0?O>>>0<B>>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,z9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,KOe(s,d),JOe(d),C=k;return}}function WOe(s){return s=s|0,536870911}function VOe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function KOe(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function JOe(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&&gt(s)}function X9(s){s=s|0,ZOe(s)}function zOe(s){s=s|0,XOe(s+24|0)}function XOe(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function ZOe(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,7,l,$Oe()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function $Oe(){return 1860}function e4e(s,l,c){return s=s|0,l=l|0,c=c|0,r4e(n[(t4e(s)|0)>>2]|0,l,c)|0}function t4e(s){return s=s|0,(n[(IT()|0)+24>>2]|0)+(s<<3)|0}function r4e(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0;return f=C,C=C+32|0,B=f+12|0,m=f+8|0,k=f,Q=f+16|0,d=f+4|0,n4e(Q,l),i4e(k,Q,l),vp(d,c),c=Dp(d,c)|0,n[B>>2]=n[k>>2],_w[s&15](m,B,c),c=s4e(m)|0,qA(m),Pp(d),C=f,c|0}function n4e(s,l){s=s|0,l=l|0}function i4e(s,l,c){s=s|0,l=l|0,c=c|0,o4e(s,c)}function s4e(s){return s=s|0,da(s)|0}function o4e(s,l){s=s|0,l=l|0;var c=0,f=0,d=0;d=C,C=C+16|0,c=d,f=l,f&1?(a4e(c,0),ii(f|0,c|0)|0,l4e(s,c),c4e(c)):n[s>>2]=n[l>>2],C=d}function a4e(s,l){s=s|0,l=l|0,e5(s,l),n[s+4>>2]=0,o[s+8>>0]=0}function l4e(s,l){s=s|0,l=l|0,n[s>>2]=n[l+4>>2]}function c4e(s){s=s|0,o[s+8>>0]=0}function u4e(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=BT()|0,s=A4e(c)|0,hn(m,l,d,s,f4e(c,f)|0,f)}function BT(){var s=0,l=0;if(o[8064]|0||($9(10968),tr(68,10968,U|0)|0,l=8064,n[l>>2]=1,n[l+4>>2]=0),!(Rr(10968)|0)){s=10968,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));$9(10968)}return 10968}function A4e(s){return s=s|0,s|0}function f4e(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=BT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(Z9(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(p4e(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function Z9(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function p4e(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=h4e(s)|0,f>>>0<B>>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,g4e(d,M>>3>>>0<f>>>1>>>0?O>>>0<B>>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,Z9(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,d4e(s,d),m4e(d),C=k;return}}function h4e(s){return s=s|0,536870911}function g4e(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function d4e(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function m4e(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&&gt(s)}function $9(s){s=s|0,C4e(s)}function y4e(s){s=s|0,E4e(s+24|0)}function E4e(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function C4e(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,1,l,w4e()|0,5),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function w4e(){return 1872}function I4e(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0,v4e(n[(B4e(s)|0)>>2]|0,l,c,f,d,m)}function B4e(s){return s=s|0,(n[(BT()|0)+24>>2]|0)+(s<<3)|0}function v4e(s,l,c,f,d,m){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0,m=m|0;var B=0,k=0,Q=0,O=0,M=0,q=0;B=C,C=C+32|0,k=B+16|0,Q=B+12|0,O=B+8|0,M=B+4|0,q=B,vp(k,l),l=Dp(k,l)|0,vp(Q,c),c=Dp(Q,c)|0,vp(O,f),f=Dp(O,f)|0,vp(M,d),d=Dp(M,d)|0,vp(q,m),m=Dp(q,m)|0,w7[s&1](l,c,f,d,m),Pp(q),Pp(M),Pp(O),Pp(Q),Pp(k),C=B}function D4e(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0,m=0;m=n[s>>2]|0,d=vT()|0,s=P4e(c)|0,hn(m,l,d,s,S4e(c,f)|0,f)}function vT(){var s=0,l=0;if(o[8072]|0||(t7(11004),tr(69,11004,U|0)|0,l=8072,n[l>>2]=1,n[l+4>>2]=0),!(Rr(11004)|0)){s=11004,l=s+36|0;do n[s>>2]=0,s=s+4|0;while((s|0)<(l|0));t7(11004)}return 11004}function P4e(s){return s=s|0,s|0}function S4e(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0,k=0,Q=0;return k=C,C=C+16|0,d=k,m=k+4|0,n[d>>2]=s,Q=vT()|0,B=Q+24|0,l=gr(l,4)|0,n[m>>2]=l,c=Q+28|0,f=n[c>>2]|0,f>>>0<(n[Q+32>>2]|0)>>>0?(e7(f,s,l),l=(n[c>>2]|0)+8|0,n[c>>2]=l):(x4e(B,d,m),l=n[c>>2]|0),C=k,(l-(n[B>>2]|0)>>3)+-1|0}function e7(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,n[s+4>>2]=c}function x4e(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0;if(k=C,C=C+32|0,d=k,m=s+4|0,B=((n[m>>2]|0)-(n[s>>2]|0)>>3)+1|0,f=b4e(s)|0,f>>>0<B>>>0)zr(s);else{Q=n[s>>2]|0,M=(n[s+8>>2]|0)-Q|0,O=M>>2,k4e(d,M>>3>>>0<f>>>1>>>0?O>>>0<B>>>0?B:O:f,(n[m>>2]|0)-Q>>3,s+8|0),B=d+8|0,e7(n[B>>2]|0,n[l>>2]|0,n[c>>2]|0),n[B>>2]=(n[B>>2]|0)+8,Q4e(s,d),F4e(d),C=k;return}}function b4e(s){return s=s|0,536870911}function k4e(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0;var d=0;n[s+12>>2]=0,n[s+16>>2]=f;do if(l)if(l>>>0>536870911)Tt();else{d=Vt(l<<3)|0;break}else d=0;while(0);n[s>>2]=d,f=d+(c<<3)|0,n[s+8>>2]=f,n[s+4>>2]=f,n[s+12>>2]=d+(l<<3)}function Q4e(s,l){s=s|0,l=l|0;var c=0,f=0,d=0,m=0,B=0;f=n[s>>2]|0,B=s+4|0,m=l+4|0,d=(n[B>>2]|0)-f|0,c=(n[m>>2]|0)+(0-(d>>3)<<3)|0,n[m>>2]=c,(d|0)>0?(Dr(c|0,f|0,d|0)|0,f=m,c=n[m>>2]|0):f=m,m=n[s>>2]|0,n[s>>2]=c,n[f>>2]=m,m=l+8|0,d=n[B>>2]|0,n[B>>2]=n[m>>2],n[m>>2]=d,m=s+8|0,B=l+12|0,s=n[m>>2]|0,n[m>>2]=n[B>>2],n[B>>2]=s,n[l>>2]=n[f>>2]}function F4e(s){s=s|0;var l=0,c=0,f=0;l=n[s+4>>2]|0,c=s+8|0,f=n[c>>2]|0,(f|0)!=(l|0)&&(n[c>>2]=f+(~((f+-8-l|0)>>>3)<<3)),s=n[s>>2]|0,s|0&&gt(s)}function t7(s){s=s|0,N4e(s)}function T4e(s){s=s|0,R4e(s+24|0)}function R4e(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function N4e(s){s=s|0;var l=0;l=Vr()|0,Kr(s,1,12,l,L4e()|0,2),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function L4e(){return 1896}function M4e(s,l,c){s=s|0,l=l|0,c=c|0,U4e(n[(O4e(s)|0)>>2]|0,l,c)}function O4e(s){return s=s|0,(n[(vT()|0)+24>>2]|0)+(s<<3)|0}function U4e(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;f=C,C=C+16|0,m=f+4|0,d=f,_4e(m,l),l=H4e(m,l)|0,vp(d,c),c=Dp(d,c)|0,tf[s&31](l,c),Pp(d),C=f}function _4e(s,l){s=s|0,l=l|0}function H4e(s,l){return s=s|0,l=l|0,j4e(l)|0}function j4e(s){return s=s|0,s|0}function q4e(){var s=0;return o[8080]|0||(r7(11040),tr(70,11040,U|0)|0,s=8080,n[s>>2]=1,n[s+4>>2]=0),Rr(11040)|0||r7(11040),11040}function r7(s){s=s|0,W4e(s),kg(s,71)}function G4e(s){s=s|0,Y4e(s+24|0)}function Y4e(s){s=s|0;var l=0,c=0,f=0;c=n[s>>2]|0,f=c,c|0&&(s=s+4|0,l=n[s>>2]|0,(l|0)!=(c|0)&&(n[s>>2]=l+(~((l+-8-f|0)>>>3)<<3)),gt(c))}function W4e(s){s=s|0;var l=0;l=Vr()|0,Kr(s,5,7,l,z4e()|0,0),n[s+24>>2]=0,n[s+28>>2]=0,n[s+32>>2]=0}function V4e(s){s=s|0,K4e(s)}function K4e(s){s=s|0,J4e(s)}function J4e(s){s=s|0,o[s+8>>0]=1}function z4e(){return 1936}function X4e(){return Z4e()|0}function Z4e(){var s=0,l=0,c=0,f=0,d=0,m=0,B=0;return l=C,C=C+16|0,d=l+4|0,B=l,c=Wa(8)|0,s=c,m=s+4|0,n[m>>2]=Vt(1)|0,f=Vt(8)|0,m=n[m>>2]|0,n[B>>2]=0,n[d>>2]=n[B>>2],$4e(f,m,d),n[c>>2]=f,C=l,s|0}function $4e(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]=l,c=Vt(16)|0,n[c+4>>2]=0,n[c+8>>2]=0,n[c>>2]=1916,n[c+12>>2]=l,n[s+4>>2]=c}function eUe(s){s=s|0,Jm(s),gt(s)}function tUe(s){s=s|0,s=n[s+12>>2]|0,s|0&&gt(s)}function rUe(s){s=s|0,gt(s)}function nUe(){var s=0;return o[8088]|0||(uUe(11076),tr(25,11076,U|0)|0,s=8088,n[s>>2]=1,n[s+4>>2]=0),11076}function iUe(s,l){s=s|0,l=l|0,n[s>>2]=sUe()|0,n[s+4>>2]=oUe()|0,n[s+12>>2]=l,n[s+8>>2]=aUe()|0,n[s+32>>2]=10}function sUe(){return 11745}function oUe(){return 1940}function aUe(){return aD()|0}function lUe(s,l,c,f){s=s|0,l=l|0,c=c|0,f=f|0,(Sp(f,896)|0)==512?c|0&&(cUe(c),gt(c)):l|0&&gt(l)}function cUe(s){s=s|0,s=n[s+4>>2]|0,s|0&&bp(s)}function uUe(s){s=s|0,Bp(s)}function xc(s,l){s=s|0,l=l|0,n[s>>2]=l}function DT(s){return s=s|0,n[s>>2]|0}function AUe(s){return s=s|0,o[n[s>>2]>>0]|0}function fUe(s,l){s=s|0,l=l|0;var c=0,f=0;c=C,C=C+16|0,f=c,n[f>>2]=n[s>>2],pUe(l,f)|0,C=c}function pUe(s,l){s=s|0,l=l|0;var c=0;return c=hUe(n[s>>2]|0,l)|0,l=s+4|0,n[(n[l>>2]|0)+8>>2]=c,n[(n[l>>2]|0)+8>>2]|0}function hUe(s,l){s=s|0,l=l|0;var c=0,f=0;return c=C,C=C+16|0,f=c,Va(f),s=da(s)|0,l=gUe(s,n[l>>2]|0)|0,Ka(f),C=c,l|0}function Va(s){s=s|0,n[s>>2]=n[2701],n[s+4>>2]=n[2703]}function gUe(s,l){s=s|0,l=l|0;var c=0;return c=Pl(dUe()|0)|0,Qn(0,c|0,s|0,yT(l)|0)|0}function Ka(s){s=s|0,Y9(n[s>>2]|0,n[s+4>>2]|0)}function dUe(){var s=0;return o[8096]|0||(mUe(11120),s=8096,n[s>>2]=1,n[s+4>>2]=0),11120}function mUe(s){s=s|0,Sl(s,yUe()|0,1)}function yUe(){return 1948}function EUe(){CUe()}function CUe(){var s=0,l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0;if(Oe=C,C=C+16|0,M=Oe+4|0,q=Oe,Ni(65536,10804,n[2702]|0,10812),c=P9()|0,l=n[c>>2]|0,s=n[l>>2]|0,s|0)for(f=n[c+8>>2]|0,c=n[c+4>>2]|0;uc(s|0,u[c>>0]|0|0,o[f>>0]|0),l=l+4|0,s=n[l>>2]|0,s;)f=f+1|0,c=c+1|0;if(s=S9()|0,l=n[s>>2]|0,l|0)do uu(l|0,n[s+4>>2]|0),s=s+8|0,l=n[s>>2]|0;while((l|0)!=0);uu(wUe()|0,5167),O=Gm()|0,s=n[O>>2]|0;e:do if(s|0){do IUe(n[s+4>>2]|0),s=n[s>>2]|0;while((s|0)!=0);if(s=n[O>>2]|0,s|0){Q=O;do{for(;d=s,s=n[s>>2]|0,d=n[d+4>>2]|0,!!(BUe(d)|0);)if(n[q>>2]=Q,n[M>>2]=n[q>>2],vUe(O,M)|0,!s)break e;if(DUe(d),Q=n[Q>>2]|0,l=n7(d)|0,m=Hi()|0,B=C,C=C+((1*(l<<2)|0)+15&-16)|0,k=C,C=C+((1*(l<<2)|0)+15&-16)|0,l=n[(U9(d)|0)>>2]|0,l|0)for(c=B,f=k;n[c>>2]=n[(Ym(n[l+4>>2]|0)|0)>>2],n[f>>2]=n[l+8>>2],l=n[l>>2]|0,l;)c=c+4|0,f=f+4|0;Fe=Ym(d)|0,l=PUe(d)|0,c=n7(d)|0,f=SUe(d)|0,Au(Fe|0,l|0,B|0,k|0,c|0,f|0,fT(d)|0),_i(m|0)}while((s|0)!=0)}}while(0);if(s=n[(pT()|0)>>2]|0,s|0)do Fe=s+4|0,O=hT(Fe)|0,d=Lw(O)|0,m=Rw(O)|0,B=(Nw(O)|0)+1|0,k=fD(O)|0,Q=i7(Fe)|0,O=Rr(O)|0,M=cD(Fe)|0,q=PT(Fe)|0,El(0,d|0,m|0,B|0,k|0,Q|0,O|0,M|0,q|0,ST(Fe)|0),s=n[s>>2]|0;while((s|0)!=0);s=n[(Gm()|0)>>2]|0;e:do if(s|0){t:for(;;){if(l=n[s+4>>2]|0,l|0&&(se=n[(Ym(l)|0)>>2]|0,Ge=n[(_9(l)|0)>>2]|0,Ge|0)){c=Ge;do{l=c+4|0,f=hT(l)|0;r:do if(f|0)switch(Rr(f)|0){case 0:break t;case 4:case 3:case 2:{k=Lw(f)|0,Q=Rw(f)|0,O=(Nw(f)|0)+1|0,M=fD(f)|0,q=Rr(f)|0,Fe=cD(l)|0,El(se|0,k|0,Q|0,O|0,M|0,0,q|0,Fe|0,PT(l)|0,ST(l)|0);break r}case 1:{B=Lw(f)|0,k=Rw(f)|0,Q=(Nw(f)|0)+1|0,O=fD(f)|0,M=i7(l)|0,q=Rr(f)|0,Fe=cD(l)|0,El(se|0,B|0,k|0,Q|0,O|0,M|0,q|0,Fe|0,PT(l)|0,ST(l)|0);break r}case 5:{O=Lw(f)|0,M=Rw(f)|0,q=(Nw(f)|0)+1|0,Fe=fD(f)|0,El(se|0,O|0,M|0,q|0,Fe|0,xUe(f)|0,Rr(f)|0,0,0,0);break r}default:break r}while(0);c=n[c>>2]|0}while((c|0)!=0)}if(s=n[s>>2]|0,!s)break e}Tt()}while(0);Ce(),C=Oe}function wUe(){return 11703}function IUe(s){s=s|0,o[s+40>>0]=0}function BUe(s){return s=s|0,(o[s+40>>0]|0)!=0|0}function vUe(s,l){return s=s|0,l=l|0,l=bUe(l)|0,s=n[l>>2]|0,n[l>>2]=n[s>>2],gt(s),n[l>>2]|0}function DUe(s){s=s|0,o[s+40>>0]=1}function n7(s){return s=s|0,n[s+20>>2]|0}function PUe(s){return s=s|0,n[s+8>>2]|0}function SUe(s){return s=s|0,n[s+32>>2]|0}function fD(s){return s=s|0,n[s+4>>2]|0}function i7(s){return s=s|0,n[s+4>>2]|0}function PT(s){return s=s|0,n[s+8>>2]|0}function ST(s){return s=s|0,n[s+16>>2]|0}function xUe(s){return s=s|0,n[s+20>>2]|0}function bUe(s){return s=s|0,n[s>>2]|0}function pD(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0,et=0,Xe=0,at=0,Ue=0,qe=0,Lt=0;Lt=C,C=C+16|0,se=Lt;do if(s>>>0<245){if(O=s>>>0<11?16:s+11&-8,s=O>>>3,q=n[2783]|0,c=q>>>s,c&3|0)return l=(c&1^1)+s|0,s=11172+(l<<1<<2)|0,c=s+8|0,f=n[c>>2]|0,d=f+8|0,m=n[d>>2]|0,(s|0)==(m|0)?n[2783]=q&~(1<<l):(n[m+12>>2]=s,n[c>>2]=m),qe=l<<3,n[f+4>>2]=qe|3,qe=f+qe+4|0,n[qe>>2]=n[qe>>2]|1,qe=d,C=Lt,qe|0;if(M=n[2785]|0,O>>>0>M>>>0){if(c|0)return l=2<<s,l=c<<s&(l|0-l),l=(l&0-l)+-1|0,B=l>>>12&16,l=l>>>B,c=l>>>5&8,l=l>>>c,d=l>>>2&4,l=l>>>d,s=l>>>1&2,l=l>>>s,f=l>>>1&1,f=(c|B|d|s|f)+(l>>>f)|0,l=11172+(f<<1<<2)|0,s=l+8|0,d=n[s>>2]|0,B=d+8|0,c=n[B>>2]|0,(l|0)==(c|0)?(s=q&~(1<<f),n[2783]=s):(n[c+12>>2]=l,n[s>>2]=c,s=q),m=(f<<3)-O|0,n[d+4>>2]=O|3,f=d+O|0,n[f+4>>2]=m|1,n[f+m>>2]=m,M|0&&(d=n[2788]|0,l=M>>>3,c=11172+(l<<1<<2)|0,l=1<<l,s&l?(s=c+8|0,l=n[s>>2]|0):(n[2783]=s|l,l=c,s=c+8|0),n[s>>2]=d,n[l+12>>2]=d,n[d+8>>2]=l,n[d+12>>2]=c),n[2785]=m,n[2788]=f,qe=B,C=Lt,qe|0;if(k=n[2784]|0,k){if(c=(k&0-k)+-1|0,B=c>>>12&16,c=c>>>B,m=c>>>5&8,c=c>>>m,Q=c>>>2&4,c=c>>>Q,f=c>>>1&2,c=c>>>f,s=c>>>1&1,s=n[11436+((m|B|Q|f|s)+(c>>>s)<<2)>>2]|0,c=(n[s+4>>2]&-8)-O|0,f=n[s+16+(((n[s+16>>2]|0)==0&1)<<2)>>2]|0,!f)Q=s,m=c;else{do B=(n[f+4>>2]&-8)-O|0,Q=B>>>0<c>>>0,c=Q?B:c,s=Q?f:s,f=n[f+16+(((n[f+16>>2]|0)==0&1)<<2)>>2]|0;while((f|0)!=0);Q=s,m=c}if(B=Q+O|0,Q>>>0<B>>>0){d=n[Q+24>>2]|0,l=n[Q+12>>2]|0;do if((l|0)==(Q|0)){if(s=Q+20|0,l=n[s>>2]|0,!l&&(s=Q+16|0,l=n[s>>2]|0,!l)){c=0;break}for(;;){if(c=l+20|0,f=n[c>>2]|0,f|0){l=f,s=c;continue}if(c=l+16|0,f=n[c>>2]|0,f)l=f,s=c;else break}n[s>>2]=0,c=l}else c=n[Q+8>>2]|0,n[c+12>>2]=l,n[l+8>>2]=c,c=l;while(0);do if(d|0){if(l=n[Q+28>>2]|0,s=11436+(l<<2)|0,(Q|0)==(n[s>>2]|0)){if(n[s>>2]=c,!c){n[2784]=k&~(1<<l);break}}else if(n[d+16+(((n[d+16>>2]|0)!=(Q|0)&1)<<2)>>2]=c,!c)break;n[c+24>>2]=d,l=n[Q+16>>2]|0,l|0&&(n[c+16>>2]=l,n[l+24>>2]=c),l=n[Q+20>>2]|0,l|0&&(n[c+20>>2]=l,n[l+24>>2]=c)}while(0);return m>>>0<16?(qe=m+O|0,n[Q+4>>2]=qe|3,qe=Q+qe+4|0,n[qe>>2]=n[qe>>2]|1):(n[Q+4>>2]=O|3,n[B+4>>2]=m|1,n[B+m>>2]=m,M|0&&(f=n[2788]|0,l=M>>>3,c=11172+(l<<1<<2)|0,l=1<<l,q&l?(s=c+8|0,l=n[s>>2]|0):(n[2783]=q|l,l=c,s=c+8|0),n[s>>2]=f,n[l+12>>2]=f,n[f+8>>2]=l,n[f+12>>2]=c),n[2785]=m,n[2788]=B),qe=Q+8|0,C=Lt,qe|0}else q=O}else q=O}else q=O}else if(s>>>0<=4294967231)if(s=s+11|0,O=s&-8,Q=n[2784]|0,Q){f=0-O|0,s=s>>>8,s?O>>>0>16777215?k=31:(q=(s+1048320|0)>>>16&8,Ue=s<<q,M=(Ue+520192|0)>>>16&4,Ue=Ue<<M,k=(Ue+245760|0)>>>16&2,k=14-(M|q|k)+(Ue<<k>>>15)|0,k=O>>>(k+7|0)&1|k<<1):k=0,c=n[11436+(k<<2)>>2]|0;e:do if(!c)c=0,s=0,Ue=57;else for(s=0,B=O<<((k|0)==31?0:25-(k>>>1)|0),m=0;;){if(d=(n[c+4>>2]&-8)-O|0,d>>>0<f>>>0)if(d)s=c,f=d;else{s=c,f=0,d=c,Ue=61;break e}if(d=n[c+20>>2]|0,c=n[c+16+(B>>>31<<2)>>2]|0,m=(d|0)==0|(d|0)==(c|0)?m:d,d=(c|0)==0,d){c=m,Ue=57;break}else B=B<<((d^1)&1)}while(0);if((Ue|0)==57){if((c|0)==0&(s|0)==0){if(s=2<<k,s=Q&(s|0-s),!s){q=O;break}q=(s&0-s)+-1|0,B=q>>>12&16,q=q>>>B,m=q>>>5&8,q=q>>>m,k=q>>>2&4,q=q>>>k,M=q>>>1&2,q=q>>>M,c=q>>>1&1,s=0,c=n[11436+((m|B|k|M|c)+(q>>>c)<<2)>>2]|0}c?(d=c,Ue=61):(k=s,B=f)}if((Ue|0)==61)for(;;)if(Ue=0,c=(n[d+4>>2]&-8)-O|0,q=c>>>0<f>>>0,c=q?c:f,s=q?d:s,d=n[d+16+(((n[d+16>>2]|0)==0&1)<<2)>>2]|0,d)f=c,Ue=61;else{k=s,B=c;break}if((k|0)!=0&&B>>>0<((n[2785]|0)-O|0)>>>0){if(m=k+O|0,k>>>0>=m>>>0)return qe=0,C=Lt,qe|0;d=n[k+24>>2]|0,l=n[k+12>>2]|0;do if((l|0)==(k|0)){if(s=k+20|0,l=n[s>>2]|0,!l&&(s=k+16|0,l=n[s>>2]|0,!l)){l=0;break}for(;;){if(c=l+20|0,f=n[c>>2]|0,f|0){l=f,s=c;continue}if(c=l+16|0,f=n[c>>2]|0,f)l=f,s=c;else break}n[s>>2]=0}else qe=n[k+8>>2]|0,n[qe+12>>2]=l,n[l+8>>2]=qe;while(0);do if(d){if(s=n[k+28>>2]|0,c=11436+(s<<2)|0,(k|0)==(n[c>>2]|0)){if(n[c>>2]=l,!l){f=Q&~(1<<s),n[2784]=f;break}}else if(n[d+16+(((n[d+16>>2]|0)!=(k|0)&1)<<2)>>2]=l,!l){f=Q;break}n[l+24>>2]=d,s=n[k+16>>2]|0,s|0&&(n[l+16>>2]=s,n[s+24>>2]=l),s=n[k+20>>2]|0,s&&(n[l+20>>2]=s,n[s+24>>2]=l),f=Q}else f=Q;while(0);do if(B>>>0>=16){if(n[k+4>>2]=O|3,n[m+4>>2]=B|1,n[m+B>>2]=B,l=B>>>3,B>>>0<256){c=11172+(l<<1<<2)|0,s=n[2783]|0,l=1<<l,s&l?(s=c+8|0,l=n[s>>2]|0):(n[2783]=s|l,l=c,s=c+8|0),n[s>>2]=m,n[l+12>>2]=m,n[m+8>>2]=l,n[m+12>>2]=c;break}if(l=B>>>8,l?B>>>0>16777215?l=31:(Ue=(l+1048320|0)>>>16&8,qe=l<<Ue,at=(qe+520192|0)>>>16&4,qe=qe<<at,l=(qe+245760|0)>>>16&2,l=14-(at|Ue|l)+(qe<<l>>>15)|0,l=B>>>(l+7|0)&1|l<<1):l=0,c=11436+(l<<2)|0,n[m+28>>2]=l,s=m+16|0,n[s+4>>2]=0,n[s>>2]=0,s=1<<l,!(f&s)){n[2784]=f|s,n[c>>2]=m,n[m+24>>2]=c,n[m+12>>2]=m,n[m+8>>2]=m;break}for(s=B<<((l|0)==31?0:25-(l>>>1)|0),c=n[c>>2]|0;;){if((n[c+4>>2]&-8|0)==(B|0)){Ue=97;break}if(f=c+16+(s>>>31<<2)|0,l=n[f>>2]|0,l)s=s<<1,c=l;else{Ue=96;break}}if((Ue|0)==96){n[f>>2]=m,n[m+24>>2]=c,n[m+12>>2]=m,n[m+8>>2]=m;break}else if((Ue|0)==97){Ue=c+8|0,qe=n[Ue>>2]|0,n[qe+12>>2]=m,n[Ue>>2]=m,n[m+8>>2]=qe,n[m+12>>2]=c,n[m+24>>2]=0;break}}else qe=B+O|0,n[k+4>>2]=qe|3,qe=k+qe+4|0,n[qe>>2]=n[qe>>2]|1;while(0);return qe=k+8|0,C=Lt,qe|0}else q=O}else q=O;else q=-1;while(0);if(c=n[2785]|0,c>>>0>=q>>>0)return l=c-q|0,s=n[2788]|0,l>>>0>15?(qe=s+q|0,n[2788]=qe,n[2785]=l,n[qe+4>>2]=l|1,n[qe+l>>2]=l,n[s+4>>2]=q|3):(n[2785]=0,n[2788]=0,n[s+4>>2]=c|3,qe=s+c+4|0,n[qe>>2]=n[qe>>2]|1),qe=s+8|0,C=Lt,qe|0;if(B=n[2786]|0,B>>>0>q>>>0)return at=B-q|0,n[2786]=at,qe=n[2789]|0,Ue=qe+q|0,n[2789]=Ue,n[Ue+4>>2]=at|1,n[qe+4>>2]=q|3,qe=qe+8|0,C=Lt,qe|0;if(n[2901]|0?s=n[2903]|0:(n[2903]=4096,n[2902]=4096,n[2904]=-1,n[2905]=-1,n[2906]=0,n[2894]=0,s=se&-16^1431655768,n[se>>2]=s,n[2901]=s,s=4096),k=q+48|0,Q=q+47|0,m=s+Q|0,d=0-s|0,O=m&d,O>>>0<=q>>>0||(s=n[2893]|0,s|0&&(M=n[2891]|0,se=M+O|0,se>>>0<=M>>>0|se>>>0>s>>>0)))return qe=0,C=Lt,qe|0;e:do if(n[2894]&4)l=0,Ue=133;else{c=n[2789]|0;t:do if(c){for(f=11580;s=n[f>>2]|0,!(s>>>0<=c>>>0&&(Fe=f+4|0,(s+(n[Fe>>2]|0)|0)>>>0>c>>>0));)if(s=n[f+8>>2]|0,s)f=s;else{Ue=118;break t}if(l=m-B&d,l>>>0<2147483647)if(s=kp(l|0)|0,(s|0)==((n[f>>2]|0)+(n[Fe>>2]|0)|0)){if((s|0)!=-1){B=l,m=s,Ue=135;break e}}else f=s,Ue=126;else l=0}else Ue=118;while(0);do if((Ue|0)==118)if(c=kp(0)|0,(c|0)!=-1&&(l=c,Ge=n[2902]|0,Oe=Ge+-1|0,l=((Oe&l|0)==0?0:(Oe+l&0-Ge)-l|0)+O|0,Ge=n[2891]|0,Oe=l+Ge|0,l>>>0>q>>>0&l>>>0<2147483647)){if(Fe=n[2893]|0,Fe|0&&Oe>>>0<=Ge>>>0|Oe>>>0>Fe>>>0){l=0;break}if(s=kp(l|0)|0,(s|0)==(c|0)){B=l,m=c,Ue=135;break e}else f=s,Ue=126}else l=0;while(0);do if((Ue|0)==126){if(c=0-l|0,!(k>>>0>l>>>0&(l>>>0<2147483647&(f|0)!=-1)))if((f|0)==-1){l=0;break}else{B=l,m=f,Ue=135;break e}if(s=n[2903]|0,s=Q-l+s&0-s,s>>>0>=2147483647){B=l,m=f,Ue=135;break e}if((kp(s|0)|0)==-1){kp(c|0)|0,l=0;break}else{B=s+l|0,m=f,Ue=135;break e}}while(0);n[2894]=n[2894]|4,Ue=133}while(0);if((Ue|0)==133&&O>>>0<2147483647&&(at=kp(O|0)|0,Fe=kp(0)|0,et=Fe-at|0,Xe=et>>>0>(q+40|0)>>>0,!((at|0)==-1|Xe^1|at>>>0<Fe>>>0&((at|0)!=-1&(Fe|0)!=-1)^1))&&(B=Xe?et:l,m=at,Ue=135),(Ue|0)==135){l=(n[2891]|0)+B|0,n[2891]=l,l>>>0>(n[2892]|0)>>>0&&(n[2892]=l),Q=n[2789]|0;do if(Q){for(l=11580;;){if(s=n[l>>2]|0,c=l+4|0,f=n[c>>2]|0,(m|0)==(s+f|0)){Ue=145;break}if(d=n[l+8>>2]|0,d)l=d;else break}if((Ue|0)==145&&(n[l+12>>2]&8|0)==0&&Q>>>0<m>>>0&Q>>>0>=s>>>0){n[c>>2]=f+B,qe=Q+8|0,qe=(qe&7|0)==0?0:0-qe&7,Ue=Q+qe|0,qe=(n[2786]|0)+(B-qe)|0,n[2789]=Ue,n[2786]=qe,n[Ue+4>>2]=qe|1,n[Ue+qe+4>>2]=40,n[2790]=n[2905];break}for(m>>>0<(n[2787]|0)>>>0&&(n[2787]=m),c=m+B|0,l=11580;;){if((n[l>>2]|0)==(c|0)){Ue=153;break}if(s=n[l+8>>2]|0,s)l=s;else break}if((Ue|0)==153&&(n[l+12>>2]&8|0)==0){n[l>>2]=m,M=l+4|0,n[M>>2]=(n[M>>2]|0)+B,M=m+8|0,M=m+((M&7|0)==0?0:0-M&7)|0,l=c+8|0,l=c+((l&7|0)==0?0:0-l&7)|0,O=M+q|0,k=l-M-q|0,n[M+4>>2]=q|3;do if((l|0)!=(Q|0)){if((l|0)==(n[2788]|0)){qe=(n[2785]|0)+k|0,n[2785]=qe,n[2788]=O,n[O+4>>2]=qe|1,n[O+qe>>2]=qe;break}if(s=n[l+4>>2]|0,(s&3|0)==1){B=s&-8,f=s>>>3;e:do if(s>>>0<256)if(s=n[l+8>>2]|0,c=n[l+12>>2]|0,(c|0)==(s|0)){n[2783]=n[2783]&~(1<<f);break}else{n[s+12>>2]=c,n[c+8>>2]=s;break}else{m=n[l+24>>2]|0,s=n[l+12>>2]|0;do if((s|0)==(l|0)){if(f=l+16|0,c=f+4|0,s=n[c>>2]|0,!s)if(s=n[f>>2]|0,s)c=f;else{s=0;break}for(;;){if(f=s+20|0,d=n[f>>2]|0,d|0){s=d,c=f;continue}if(f=s+16|0,d=n[f>>2]|0,d)s=d,c=f;else break}n[c>>2]=0}else qe=n[l+8>>2]|0,n[qe+12>>2]=s,n[s+8>>2]=qe;while(0);if(!m)break;c=n[l+28>>2]|0,f=11436+(c<<2)|0;do if((l|0)!=(n[f>>2]|0)){if(n[m+16+(((n[m+16>>2]|0)!=(l|0)&1)<<2)>>2]=s,!s)break e}else{if(n[f>>2]=s,s|0)break;n[2784]=n[2784]&~(1<<c);break e}while(0);if(n[s+24>>2]=m,c=l+16|0,f=n[c>>2]|0,f|0&&(n[s+16>>2]=f,n[f+24>>2]=s),c=n[c+4>>2]|0,!c)break;n[s+20>>2]=c,n[c+24>>2]=s}while(0);l=l+B|0,d=B+k|0}else d=k;if(l=l+4|0,n[l>>2]=n[l>>2]&-2,n[O+4>>2]=d|1,n[O+d>>2]=d,l=d>>>3,d>>>0<256){c=11172+(l<<1<<2)|0,s=n[2783]|0,l=1<<l,s&l?(s=c+8|0,l=n[s>>2]|0):(n[2783]=s|l,l=c,s=c+8|0),n[s>>2]=O,n[l+12>>2]=O,n[O+8>>2]=l,n[O+12>>2]=c;break}l=d>>>8;do if(!l)l=0;else{if(d>>>0>16777215){l=31;break}Ue=(l+1048320|0)>>>16&8,qe=l<<Ue,at=(qe+520192|0)>>>16&4,qe=qe<<at,l=(qe+245760|0)>>>16&2,l=14-(at|Ue|l)+(qe<<l>>>15)|0,l=d>>>(l+7|0)&1|l<<1}while(0);if(f=11436+(l<<2)|0,n[O+28>>2]=l,s=O+16|0,n[s+4>>2]=0,n[s>>2]=0,s=n[2784]|0,c=1<<l,!(s&c)){n[2784]=s|c,n[f>>2]=O,n[O+24>>2]=f,n[O+12>>2]=O,n[O+8>>2]=O;break}for(s=d<<((l|0)==31?0:25-(l>>>1)|0),c=n[f>>2]|0;;){if((n[c+4>>2]&-8|0)==(d|0)){Ue=194;break}if(f=c+16+(s>>>31<<2)|0,l=n[f>>2]|0,l)s=s<<1,c=l;else{Ue=193;break}}if((Ue|0)==193){n[f>>2]=O,n[O+24>>2]=c,n[O+12>>2]=O,n[O+8>>2]=O;break}else if((Ue|0)==194){Ue=c+8|0,qe=n[Ue>>2]|0,n[qe+12>>2]=O,n[Ue>>2]=O,n[O+8>>2]=qe,n[O+12>>2]=c,n[O+24>>2]=0;break}}else qe=(n[2786]|0)+k|0,n[2786]=qe,n[2789]=O,n[O+4>>2]=qe|1;while(0);return qe=M+8|0,C=Lt,qe|0}for(l=11580;s=n[l>>2]|0,!(s>>>0<=Q>>>0&&(qe=s+(n[l+4>>2]|0)|0,qe>>>0>Q>>>0));)l=n[l+8>>2]|0;d=qe+-47|0,s=d+8|0,s=d+((s&7|0)==0?0:0-s&7)|0,d=Q+16|0,s=s>>>0<d>>>0?Q:s,l=s+8|0,c=m+8|0,c=(c&7|0)==0?0:0-c&7,Ue=m+c|0,c=B+-40-c|0,n[2789]=Ue,n[2786]=c,n[Ue+4>>2]=c|1,n[Ue+c+4>>2]=40,n[2790]=n[2905],c=s+4|0,n[c>>2]=27,n[l>>2]=n[2895],n[l+4>>2]=n[2896],n[l+8>>2]=n[2897],n[l+12>>2]=n[2898],n[2895]=m,n[2896]=B,n[2898]=0,n[2897]=l,l=s+24|0;do Ue=l,l=l+4|0,n[l>>2]=7;while((Ue+8|0)>>>0<qe>>>0);if((s|0)!=(Q|0)){if(m=s-Q|0,n[c>>2]=n[c>>2]&-2,n[Q+4>>2]=m|1,n[s>>2]=m,l=m>>>3,m>>>0<256){c=11172+(l<<1<<2)|0,s=n[2783]|0,l=1<<l,s&l?(s=c+8|0,l=n[s>>2]|0):(n[2783]=s|l,l=c,s=c+8|0),n[s>>2]=Q,n[l+12>>2]=Q,n[Q+8>>2]=l,n[Q+12>>2]=c;break}if(l=m>>>8,l?m>>>0>16777215?c=31:(Ue=(l+1048320|0)>>>16&8,qe=l<<Ue,at=(qe+520192|0)>>>16&4,qe=qe<<at,c=(qe+245760|0)>>>16&2,c=14-(at|Ue|c)+(qe<<c>>>15)|0,c=m>>>(c+7|0)&1|c<<1):c=0,f=11436+(c<<2)|0,n[Q+28>>2]=c,n[Q+20>>2]=0,n[d>>2]=0,l=n[2784]|0,s=1<<c,!(l&s)){n[2784]=l|s,n[f>>2]=Q,n[Q+24>>2]=f,n[Q+12>>2]=Q,n[Q+8>>2]=Q;break}for(s=m<<((c|0)==31?0:25-(c>>>1)|0),c=n[f>>2]|0;;){if((n[c+4>>2]&-8|0)==(m|0)){Ue=216;break}if(f=c+16+(s>>>31<<2)|0,l=n[f>>2]|0,l)s=s<<1,c=l;else{Ue=215;break}}if((Ue|0)==215){n[f>>2]=Q,n[Q+24>>2]=c,n[Q+12>>2]=Q,n[Q+8>>2]=Q;break}else if((Ue|0)==216){Ue=c+8|0,qe=n[Ue>>2]|0,n[qe+12>>2]=Q,n[Ue>>2]=Q,n[Q+8>>2]=qe,n[Q+12>>2]=c,n[Q+24>>2]=0;break}}}else{qe=n[2787]|0,(qe|0)==0|m>>>0<qe>>>0&&(n[2787]=m),n[2895]=m,n[2896]=B,n[2898]=0,n[2792]=n[2901],n[2791]=-1,l=0;do qe=11172+(l<<1<<2)|0,n[qe+12>>2]=qe,n[qe+8>>2]=qe,l=l+1|0;while((l|0)!=32);qe=m+8|0,qe=(qe&7|0)==0?0:0-qe&7,Ue=m+qe|0,qe=B+-40-qe|0,n[2789]=Ue,n[2786]=qe,n[Ue+4>>2]=qe|1,n[Ue+qe+4>>2]=40,n[2790]=n[2905]}while(0);if(l=n[2786]|0,l>>>0>q>>>0)return at=l-q|0,n[2786]=at,qe=n[2789]|0,Ue=qe+q|0,n[2789]=Ue,n[Ue+4>>2]=at|1,n[qe+4>>2]=q|3,qe=qe+8|0,C=Lt,qe|0}return n[(Vm()|0)>>2]=12,qe=0,C=Lt,qe|0}function hD(s){s=s|0;var l=0,c=0,f=0,d=0,m=0,B=0,k=0,Q=0;if(!!s){c=s+-8|0,d=n[2787]|0,s=n[s+-4>>2]|0,l=s&-8,Q=c+l|0;do if(s&1)k=c,B=c;else{if(f=n[c>>2]|0,!(s&3)||(B=c+(0-f)|0,m=f+l|0,B>>>0<d>>>0))return;if((B|0)==(n[2788]|0)){if(s=Q+4|0,l=n[s>>2]|0,(l&3|0)!=3){k=B,l=m;break}n[2785]=m,n[s>>2]=l&-2,n[B+4>>2]=m|1,n[B+m>>2]=m;return}if(c=f>>>3,f>>>0<256)if(s=n[B+8>>2]|0,l=n[B+12>>2]|0,(l|0)==(s|0)){n[2783]=n[2783]&~(1<<c),k=B,l=m;break}else{n[s+12>>2]=l,n[l+8>>2]=s,k=B,l=m;break}d=n[B+24>>2]|0,s=n[B+12>>2]|0;do if((s|0)==(B|0)){if(c=B+16|0,l=c+4|0,s=n[l>>2]|0,!s)if(s=n[c>>2]|0,s)l=c;else{s=0;break}for(;;){if(c=s+20|0,f=n[c>>2]|0,f|0){s=f,l=c;continue}if(c=s+16|0,f=n[c>>2]|0,f)s=f,l=c;else break}n[l>>2]=0}else k=n[B+8>>2]|0,n[k+12>>2]=s,n[s+8>>2]=k;while(0);if(d){if(l=n[B+28>>2]|0,c=11436+(l<<2)|0,(B|0)==(n[c>>2]|0)){if(n[c>>2]=s,!s){n[2784]=n[2784]&~(1<<l),k=B,l=m;break}}else if(n[d+16+(((n[d+16>>2]|0)!=(B|0)&1)<<2)>>2]=s,!s){k=B,l=m;break}n[s+24>>2]=d,l=B+16|0,c=n[l>>2]|0,c|0&&(n[s+16>>2]=c,n[c+24>>2]=s),l=n[l+4>>2]|0,l?(n[s+20>>2]=l,n[l+24>>2]=s,k=B,l=m):(k=B,l=m)}else k=B,l=m}while(0);if(!(B>>>0>=Q>>>0)&&(s=Q+4|0,f=n[s>>2]|0,!!(f&1))){if(f&2)n[s>>2]=f&-2,n[k+4>>2]=l|1,n[B+l>>2]=l,d=l;else{if(s=n[2788]|0,(Q|0)==(n[2789]|0)){if(Q=(n[2786]|0)+l|0,n[2786]=Q,n[2789]=k,n[k+4>>2]=Q|1,(k|0)!=(s|0))return;n[2788]=0,n[2785]=0;return}if((Q|0)==(s|0)){Q=(n[2785]|0)+l|0,n[2785]=Q,n[2788]=B,n[k+4>>2]=Q|1,n[B+Q>>2]=Q;return}d=(f&-8)+l|0,c=f>>>3;do if(f>>>0<256)if(l=n[Q+8>>2]|0,s=n[Q+12>>2]|0,(s|0)==(l|0)){n[2783]=n[2783]&~(1<<c);break}else{n[l+12>>2]=s,n[s+8>>2]=l;break}else{m=n[Q+24>>2]|0,s=n[Q+12>>2]|0;do if((s|0)==(Q|0)){if(c=Q+16|0,l=c+4|0,s=n[l>>2]|0,!s)if(s=n[c>>2]|0,s)l=c;else{c=0;break}for(;;){if(c=s+20|0,f=n[c>>2]|0,f|0){s=f,l=c;continue}if(c=s+16|0,f=n[c>>2]|0,f)s=f,l=c;else break}n[l>>2]=0,c=s}else c=n[Q+8>>2]|0,n[c+12>>2]=s,n[s+8>>2]=c,c=s;while(0);if(m|0){if(s=n[Q+28>>2]|0,l=11436+(s<<2)|0,(Q|0)==(n[l>>2]|0)){if(n[l>>2]=c,!c){n[2784]=n[2784]&~(1<<s);break}}else if(n[m+16+(((n[m+16>>2]|0)!=(Q|0)&1)<<2)>>2]=c,!c)break;n[c+24>>2]=m,s=Q+16|0,l=n[s>>2]|0,l|0&&(n[c+16>>2]=l,n[l+24>>2]=c),s=n[s+4>>2]|0,s|0&&(n[c+20>>2]=s,n[s+24>>2]=c)}}while(0);if(n[k+4>>2]=d|1,n[B+d>>2]=d,(k|0)==(n[2788]|0)){n[2785]=d;return}}if(s=d>>>3,d>>>0<256){c=11172+(s<<1<<2)|0,l=n[2783]|0,s=1<<s,l&s?(l=c+8|0,s=n[l>>2]|0):(n[2783]=l|s,s=c,l=c+8|0),n[l>>2]=k,n[s+12>>2]=k,n[k+8>>2]=s,n[k+12>>2]=c;return}s=d>>>8,s?d>>>0>16777215?s=31:(B=(s+1048320|0)>>>16&8,Q=s<<B,m=(Q+520192|0)>>>16&4,Q=Q<<m,s=(Q+245760|0)>>>16&2,s=14-(m|B|s)+(Q<<s>>>15)|0,s=d>>>(s+7|0)&1|s<<1):s=0,f=11436+(s<<2)|0,n[k+28>>2]=s,n[k+20>>2]=0,n[k+16>>2]=0,l=n[2784]|0,c=1<<s;do if(l&c){for(l=d<<((s|0)==31?0:25-(s>>>1)|0),c=n[f>>2]|0;;){if((n[c+4>>2]&-8|0)==(d|0)){s=73;break}if(f=c+16+(l>>>31<<2)|0,s=n[f>>2]|0,s)l=l<<1,c=s;else{s=72;break}}if((s|0)==72){n[f>>2]=k,n[k+24>>2]=c,n[k+12>>2]=k,n[k+8>>2]=k;break}else if((s|0)==73){B=c+8|0,Q=n[B>>2]|0,n[Q+12>>2]=k,n[B>>2]=k,n[k+8>>2]=Q,n[k+12>>2]=c,n[k+24>>2]=0;break}}else n[2784]=l|c,n[f>>2]=k,n[k+24>>2]=f,n[k+12>>2]=k,n[k+8>>2]=k;while(0);if(Q=(n[2791]|0)+-1|0,n[2791]=Q,!Q)s=11588;else return;for(;s=n[s>>2]|0,s;)s=s+8|0;n[2791]=-1}}}function kUe(){return 11628}function QUe(s){s=s|0;var l=0,c=0;return l=C,C=C+16|0,c=l,n[c>>2]=RUe(n[s+60>>2]|0)|0,s=gD(hc(6,c|0)|0)|0,C=l,s|0}function s7(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0;q=C,C=C+48|0,O=q+16|0,m=q,d=q+32|0,k=s+28|0,f=n[k>>2]|0,n[d>>2]=f,Q=s+20|0,f=(n[Q>>2]|0)-f|0,n[d+4>>2]=f,n[d+8>>2]=l,n[d+12>>2]=c,f=f+c|0,B=s+60|0,n[m>>2]=n[B>>2],n[m+4>>2]=d,n[m+8>>2]=2,m=gD(Li(146,m|0)|0)|0;e:do if((f|0)!=(m|0)){for(l=2;!((m|0)<0);)if(f=f-m|0,Ge=n[d+4>>2]|0,se=m>>>0>Ge>>>0,d=se?d+8|0:d,l=(se<<31>>31)+l|0,Ge=m-(se?Ge:0)|0,n[d>>2]=(n[d>>2]|0)+Ge,se=d+4|0,n[se>>2]=(n[se>>2]|0)-Ge,n[O>>2]=n[B>>2],n[O+4>>2]=d,n[O+8>>2]=l,m=gD(Li(146,O|0)|0)|0,(f|0)==(m|0)){M=3;break e}n[s+16>>2]=0,n[k>>2]=0,n[Q>>2]=0,n[s>>2]=n[s>>2]|32,(l|0)==2?c=0:c=c-(n[d+4>>2]|0)|0}else M=3;while(0);return(M|0)==3&&(Ge=n[s+44>>2]|0,n[s+16>>2]=Ge+(n[s+48>>2]|0),n[k>>2]=Ge,n[Q>>2]=Ge),C=q,c|0}function FUe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;return d=C,C=C+32|0,m=d,f=d+20|0,n[m>>2]=n[s+60>>2],n[m+4>>2]=0,n[m+8>>2]=l,n[m+12>>2]=f,n[m+16>>2]=c,(gD(sa(140,m|0)|0)|0)<0?(n[f>>2]=-1,s=-1):s=n[f>>2]|0,C=d,s|0}function gD(s){return s=s|0,s>>>0>4294963200&&(n[(Vm()|0)>>2]=0-s,s=-1),s|0}function Vm(){return(TUe()|0)+64|0}function TUe(){return xT()|0}function xT(){return 2084}function RUe(s){return s=s|0,s|0}function NUe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;return d=C,C=C+32|0,f=d,n[s+36>>2]=1,(n[s>>2]&64|0)==0&&(n[f>>2]=n[s+60>>2],n[f+4>>2]=21523,n[f+8>>2]=d+16,fu(54,f|0)|0)&&(o[s+75>>0]=-1),f=s7(s,l,c)|0,C=d,f|0}function o7(s,l){s=s|0,l=l|0;var c=0,f=0;if(c=o[s>>0]|0,f=o[l>>0]|0,c<<24>>24==0||c<<24>>24!=f<<24>>24)s=f;else{do s=s+1|0,l=l+1|0,c=o[s>>0]|0,f=o[l>>0]|0;while(!(c<<24>>24==0||c<<24>>24!=f<<24>>24));s=f}return(c&255)-(s&255)|0}function LUe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0;e:do if(!c)s=0;else{for(;f=o[s>>0]|0,d=o[l>>0]|0,f<<24>>24==d<<24>>24;)if(c=c+-1|0,c)s=s+1|0,l=l+1|0;else{s=0;break e}s=(f&255)-(d&255)|0}while(0);return s|0}function a7(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0;Fe=C,C=C+224|0,M=Fe+120|0,q=Fe+80|0,Ge=Fe,Oe=Fe+136|0,f=q,d=f+40|0;do n[f>>2]=0,f=f+4|0;while((f|0)<(d|0));return n[M>>2]=n[c>>2],(bT(0,l,M,Ge,q)|0)<0?c=-1:((n[s+76>>2]|0)>-1?se=MUe(s)|0:se=0,c=n[s>>2]|0,O=c&32,(o[s+74>>0]|0)<1&&(n[s>>2]=c&-33),f=s+48|0,n[f>>2]|0?c=bT(s,l,M,Ge,q)|0:(d=s+44|0,m=n[d>>2]|0,n[d>>2]=Oe,B=s+28|0,n[B>>2]=Oe,k=s+20|0,n[k>>2]=Oe,n[f>>2]=80,Q=s+16|0,n[Q>>2]=Oe+80,c=bT(s,l,M,Ge,q)|0,m&&(ED[n[s+36>>2]&7](s,0,0)|0,c=(n[k>>2]|0)==0?-1:c,n[d>>2]=m,n[f>>2]=0,n[Q>>2]=0,n[B>>2]=0,n[k>>2]=0)),f=n[s>>2]|0,n[s>>2]=f|O,se|0&&OUe(s),c=(f&32|0)==0?c:-1),C=Fe,c|0}function bT(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0,et=0,Xe=0,at=0,Ue=0,qe=0,Lt=0,Or=0,or=0,Xt=0,Pr=0,Nr=0,ir=0;ir=C,C=C+64|0,or=ir+16|0,Xt=ir,Lt=ir+24|0,Pr=ir+8|0,Nr=ir+20|0,n[or>>2]=l,at=(s|0)!=0,Ue=Lt+40|0,qe=Ue,Lt=Lt+39|0,Or=Pr+4|0,B=0,m=0,M=0;e:for(;;){do if((m|0)>-1)if((B|0)>(2147483647-m|0)){n[(Vm()|0)>>2]=75,m=-1;break}else{m=B+m|0;break}while(0);if(B=o[l>>0]|0,B<<24>>24)k=l;else{Xe=87;break}t:for(;;){switch(B<<24>>24){case 37:{B=k,Xe=9;break t}case 0:{B=k;break t}default:}et=k+1|0,n[or>>2]=et,B=o[et>>0]|0,k=et}t:do if((Xe|0)==9)for(;;){if(Xe=0,(o[k+1>>0]|0)!=37)break t;if(B=B+1|0,k=k+2|0,n[or>>2]=k,(o[k>>0]|0)==37)Xe=9;else break}while(0);if(B=B-l|0,at&&ss(s,l,B),B|0){l=k;continue}Q=k+1|0,B=(o[Q>>0]|0)+-48|0,B>>>0<10?(et=(o[k+2>>0]|0)==36,Fe=et?B:-1,M=et?1:M,Q=et?k+3|0:Q):Fe=-1,n[or>>2]=Q,B=o[Q>>0]|0,k=(B<<24>>24)+-32|0;t:do if(k>>>0<32)for(O=0,q=B;;){if(B=1<<k,!(B&75913)){B=q;break t}if(O=B|O,Q=Q+1|0,n[or>>2]=Q,B=o[Q>>0]|0,k=(B<<24>>24)+-32|0,k>>>0>=32)break;q=B}else O=0;while(0);if(B<<24>>24==42){if(k=Q+1|0,B=(o[k>>0]|0)+-48|0,B>>>0<10&&(o[Q+2>>0]|0)==36)n[d+(B<<2)>>2]=10,B=n[f+((o[k>>0]|0)+-48<<3)>>2]|0,M=1,Q=Q+3|0;else{if(M|0){m=-1;break}at?(M=(n[c>>2]|0)+(4-1)&~(4-1),B=n[M>>2]|0,n[c>>2]=M+4,M=0,Q=k):(B=0,M=0,Q=k)}n[or>>2]=Q,et=(B|0)<0,B=et?0-B|0:B,O=et?O|8192:O}else{if(B=l7(or)|0,(B|0)<0){m=-1;break}Q=n[or>>2]|0}do if((o[Q>>0]|0)==46){if((o[Q+1>>0]|0)!=42){n[or>>2]=Q+1,k=l7(or)|0,Q=n[or>>2]|0;break}if(q=Q+2|0,k=(o[q>>0]|0)+-48|0,k>>>0<10&&(o[Q+3>>0]|0)==36){n[d+(k<<2)>>2]=10,k=n[f+((o[q>>0]|0)+-48<<3)>>2]|0,Q=Q+4|0,n[or>>2]=Q;break}if(M|0){m=-1;break e}at?(et=(n[c>>2]|0)+(4-1)&~(4-1),k=n[et>>2]|0,n[c>>2]=et+4):k=0,n[or>>2]=q,Q=q}else k=-1;while(0);for(Oe=0;;){if(((o[Q>>0]|0)+-65|0)>>>0>57){m=-1;break e}if(et=Q+1|0,n[or>>2]=et,q=o[(o[Q>>0]|0)+-65+(5178+(Oe*58|0))>>0]|0,se=q&255,(se+-1|0)>>>0<8)Oe=se,Q=et;else break}if(!(q<<24>>24)){m=-1;break}Ge=(Fe|0)>-1;do if(q<<24>>24==19)if(Ge){m=-1;break e}else Xe=49;else{if(Ge){n[d+(Fe<<2)>>2]=se,Ge=f+(Fe<<3)|0,Fe=n[Ge+4>>2]|0,Xe=Xt,n[Xe>>2]=n[Ge>>2],n[Xe+4>>2]=Fe,Xe=49;break}if(!at){m=0;break e}c7(Xt,se,c)}while(0);if((Xe|0)==49&&(Xe=0,!at)){B=0,l=et;continue}Q=o[Q>>0]|0,Q=(Oe|0)!=0&(Q&15|0)==3?Q&-33:Q,Ge=O&-65537,Fe=(O&8192|0)==0?O:Ge;t:do switch(Q|0){case 110:switch((Oe&255)<<24>>24){case 0:{n[n[Xt>>2]>>2]=m,B=0,l=et;continue e}case 1:{n[n[Xt>>2]>>2]=m,B=0,l=et;continue e}case 2:{B=n[Xt>>2]|0,n[B>>2]=m,n[B+4>>2]=((m|0)<0)<<31>>31,B=0,l=et;continue e}case 3:{a[n[Xt>>2]>>1]=m,B=0,l=et;continue e}case 4:{o[n[Xt>>2]>>0]=m,B=0,l=et;continue e}case 6:{n[n[Xt>>2]>>2]=m,B=0,l=et;continue e}case 7:{B=n[Xt>>2]|0,n[B>>2]=m,n[B+4>>2]=((m|0)<0)<<31>>31,B=0,l=et;continue e}default:{B=0,l=et;continue e}}case 112:{Q=120,k=k>>>0>8?k:8,l=Fe|8,Xe=61;break}case 88:case 120:{l=Fe,Xe=61;break}case 111:{Q=Xt,l=n[Q>>2]|0,Q=n[Q+4>>2]|0,se=_Ue(l,Q,Ue)|0,Ge=qe-se|0,O=0,q=5642,k=(Fe&8|0)==0|(k|0)>(Ge|0)?k:Ge+1|0,Ge=Fe,Xe=67;break}case 105:case 100:if(Q=Xt,l=n[Q>>2]|0,Q=n[Q+4>>2]|0,(Q|0)<0){l=dD(0,0,l|0,Q|0)|0,Q=De,O=Xt,n[O>>2]=l,n[O+4>>2]=Q,O=1,q=5642,Xe=66;break t}else{O=(Fe&2049|0)!=0&1,q=(Fe&2048|0)==0?(Fe&1|0)==0?5642:5644:5643,Xe=66;break t}case 117:{Q=Xt,O=0,q=5642,l=n[Q>>2]|0,Q=n[Q+4>>2]|0,Xe=66;break}case 99:{o[Lt>>0]=n[Xt>>2],l=Lt,O=0,q=5642,se=Ue,Q=1,k=Ge;break}case 109:{Q=HUe(n[(Vm()|0)>>2]|0)|0,Xe=71;break}case 115:{Q=n[Xt>>2]|0,Q=Q|0?Q:5652,Xe=71;break}case 67:{n[Pr>>2]=n[Xt>>2],n[Or>>2]=0,n[Xt>>2]=Pr,se=-1,Q=Pr,Xe=75;break}case 83:{l=n[Xt>>2]|0,k?(se=k,Q=l,Xe=75):(Bs(s,32,B,0,Fe),l=0,Xe=84);break}case 65:case 71:case 70:case 69:case 97:case 103:case 102:case 101:{B=qUe(s,+E[Xt>>3],B,k,Fe,Q)|0,l=et;continue e}default:O=0,q=5642,se=Ue,Q=k,k=Fe}while(0);t:do if((Xe|0)==61)Fe=Xt,Oe=n[Fe>>2]|0,Fe=n[Fe+4>>2]|0,se=UUe(Oe,Fe,Ue,Q&32)|0,q=(l&8|0)==0|(Oe|0)==0&(Fe|0)==0,O=q?0:2,q=q?5642:5642+(Q>>4)|0,Ge=l,l=Oe,Q=Fe,Xe=67;else if((Xe|0)==66)se=Km(l,Q,Ue)|0,Ge=Fe,Xe=67;else if((Xe|0)==71)Xe=0,Fe=jUe(Q,0,k)|0,Oe=(Fe|0)==0,l=Q,O=0,q=5642,se=Oe?Q+k|0:Fe,Q=Oe?k:Fe-Q|0,k=Ge;else if((Xe|0)==75){for(Xe=0,q=Q,l=0,k=0;O=n[q>>2]|0,!(!O||(k=u7(Nr,O)|0,(k|0)<0|k>>>0>(se-l|0)>>>0));)if(l=k+l|0,se>>>0>l>>>0)q=q+4|0;else break;if((k|0)<0){m=-1;break e}if(Bs(s,32,B,l,Fe),!l)l=0,Xe=84;else for(O=0;;){if(k=n[Q>>2]|0,!k){Xe=84;break t}if(k=u7(Nr,k)|0,O=k+O|0,(O|0)>(l|0)){Xe=84;break t}if(ss(s,Nr,k),O>>>0>=l>>>0){Xe=84;break}else Q=Q+4|0}}while(0);if((Xe|0)==67)Xe=0,Q=(l|0)!=0|(Q|0)!=0,Fe=(k|0)!=0|Q,Q=((Q^1)&1)+(qe-se)|0,l=Fe?se:Ue,se=Ue,Q=Fe?(k|0)>(Q|0)?k:Q:k,k=(k|0)>-1?Ge&-65537:Ge;else if((Xe|0)==84){Xe=0,Bs(s,32,B,l,Fe^8192),B=(B|0)>(l|0)?B:l,l=et;continue}Oe=se-l|0,Ge=(Q|0)<(Oe|0)?Oe:Q,Fe=Ge+O|0,B=(B|0)<(Fe|0)?Fe:B,Bs(s,32,B,Fe,k),ss(s,q,O),Bs(s,48,B,Fe,k^65536),Bs(s,48,Ge,Oe,0),ss(s,l,Oe),Bs(s,32,B,Fe,k^8192),l=et}e:do if((Xe|0)==87&&!s)if(!M)m=0;else{for(m=1;l=n[d+(m<<2)>>2]|0,!!l;)if(c7(f+(m<<3)|0,l,c),m=m+1|0,(m|0)>=10){m=1;break e}for(;;){if(n[d+(m<<2)>>2]|0){m=-1;break e}if(m=m+1|0,(m|0)>=10){m=1;break}}}while(0);return C=ir,m|0}function MUe(s){return s=s|0,0}function OUe(s){s=s|0}function ss(s,l,c){s=s|0,l=l|0,c=c|0,n[s>>2]&32||ZUe(l,c,s)|0}function l7(s){s=s|0;var l=0,c=0,f=0;if(c=n[s>>2]|0,f=(o[c>>0]|0)+-48|0,f>>>0<10){l=0;do l=f+(l*10|0)|0,c=c+1|0,n[s>>2]=c,f=(o[c>>0]|0)+-48|0;while(f>>>0<10)}else l=0;return l|0}function c7(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0;e:do if(l>>>0<=20)do switch(l|0){case 9:{f=(n[c>>2]|0)+(4-1)&~(4-1),l=n[f>>2]|0,n[c>>2]=f+4,n[s>>2]=l;break e}case 10:{f=(n[c>>2]|0)+(4-1)&~(4-1),l=n[f>>2]|0,n[c>>2]=f+4,f=s,n[f>>2]=l,n[f+4>>2]=((l|0)<0)<<31>>31;break e}case 11:{f=(n[c>>2]|0)+(4-1)&~(4-1),l=n[f>>2]|0,n[c>>2]=f+4,f=s,n[f>>2]=l,n[f+4>>2]=0;break e}case 12:{f=(n[c>>2]|0)+(8-1)&~(8-1),l=f,d=n[l>>2]|0,l=n[l+4>>2]|0,n[c>>2]=f+8,f=s,n[f>>2]=d,n[f+4>>2]=l;break e}case 13:{d=(n[c>>2]|0)+(4-1)&~(4-1),f=n[d>>2]|0,n[c>>2]=d+4,f=(f&65535)<<16>>16,d=s,n[d>>2]=f,n[d+4>>2]=((f|0)<0)<<31>>31;break e}case 14:{d=(n[c>>2]|0)+(4-1)&~(4-1),f=n[d>>2]|0,n[c>>2]=d+4,d=s,n[d>>2]=f&65535,n[d+4>>2]=0;break e}case 15:{d=(n[c>>2]|0)+(4-1)&~(4-1),f=n[d>>2]|0,n[c>>2]=d+4,f=(f&255)<<24>>24,d=s,n[d>>2]=f,n[d+4>>2]=((f|0)<0)<<31>>31;break e}case 16:{d=(n[c>>2]|0)+(4-1)&~(4-1),f=n[d>>2]|0,n[c>>2]=d+4,d=s,n[d>>2]=f&255,n[d+4>>2]=0;break e}case 17:{d=(n[c>>2]|0)+(8-1)&~(8-1),m=+E[d>>3],n[c>>2]=d+8,E[s>>3]=m;break e}case 18:{d=(n[c>>2]|0)+(8-1)&~(8-1),m=+E[d>>3],n[c>>2]=d+8,E[s>>3]=m;break e}default:break e}while(0);while(0)}function UUe(s,l,c,f){if(s=s|0,l=l|0,c=c|0,f=f|0,!((s|0)==0&(l|0)==0))do c=c+-1|0,o[c>>0]=u[5694+(s&15)>>0]|0|f,s=mD(s|0,l|0,4)|0,l=De;while(!((s|0)==0&(l|0)==0));return c|0}function _Ue(s,l,c){if(s=s|0,l=l|0,c=c|0,!((s|0)==0&(l|0)==0))do c=c+-1|0,o[c>>0]=s&7|48,s=mD(s|0,l|0,3)|0,l=De;while(!((s|0)==0&(l|0)==0));return c|0}function Km(s,l,c){s=s|0,l=l|0,c=c|0;var f=0;if(l>>>0>0|(l|0)==0&s>>>0>4294967295){for(;f=TT(s|0,l|0,10,0)|0,c=c+-1|0,o[c>>0]=f&255|48,f=s,s=FT(s|0,l|0,10,0)|0,l>>>0>9|(l|0)==9&f>>>0>4294967295;)l=De;l=s}else l=s;if(l)for(;c=c+-1|0,o[c>>0]=(l>>>0)%10|0|48,!(l>>>0<10);)l=(l>>>0)/10|0;return c|0}function HUe(s){return s=s|0,KUe(s,n[(VUe()|0)+188>>2]|0)|0}function jUe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0;m=l&255,f=(c|0)!=0;e:do if(f&(s&3|0)!=0)for(d=l&255;;){if((o[s>>0]|0)==d<<24>>24){B=6;break e}if(s=s+1|0,c=c+-1|0,f=(c|0)!=0,!(f&(s&3|0)!=0)){B=5;break}}else B=5;while(0);(B|0)==5&&(f?B=6:c=0);e:do if((B|0)==6&&(d=l&255,(o[s>>0]|0)!=d<<24>>24)){f=He(m,16843009)|0;t:do if(c>>>0>3){for(;m=n[s>>2]^f,!((m&-2139062144^-2139062144)&m+-16843009|0);)if(s=s+4|0,c=c+-4|0,c>>>0<=3){B=11;break t}}else B=11;while(0);if((B|0)==11&&!c){c=0;break}for(;;){if((o[s>>0]|0)==d<<24>>24)break e;if(s=s+1|0,c=c+-1|0,!c){c=0;break}}}while(0);return(c|0?s:0)|0}function Bs(s,l,c,f,d){s=s|0,l=l|0,c=c|0,f=f|0,d=d|0;var m=0,B=0;if(B=C,C=C+256|0,m=B,(c|0)>(f|0)&(d&73728|0)==0){if(d=c-f|0,zm(m|0,l|0,(d>>>0<256?d:256)|0)|0,d>>>0>255){l=c-f|0;do ss(s,m,256),d=d+-256|0;while(d>>>0>255);d=l&255}ss(s,m,d)}C=B}function u7(s,l){return s=s|0,l=l|0,s?s=YUe(s,l,0)|0:s=0,s|0}function qUe(s,l,c,f,d,m){s=s|0,l=+l,c=c|0,f=f|0,d=d|0,m=m|0;var B=0,k=0,Q=0,O=0,M=0,q=0,se=0,Ge=0,Oe=0,Fe=0,et=0,Xe=0,at=0,Ue=0,qe=0,Lt=0,Or=0,or=0,Xt=0,Pr=0,Nr=0,ir=0,bn=0;bn=C,C=C+560|0,Q=bn+8|0,et=bn,ir=bn+524|0,Nr=ir,O=bn+512|0,n[et>>2]=0,Pr=O+12|0,A7(l)|0,(De|0)<0?(l=-l,or=1,Or=5659):(or=(d&2049|0)!=0&1,Or=(d&2048|0)==0?(d&1|0)==0?5660:5665:5662),A7(l)|0,Xt=De&2146435072;do if(Xt>>>0<2146435072|(Xt|0)==2146435072&0<0){if(Ge=+GUe(l,et)*2,B=Ge!=0,B&&(n[et>>2]=(n[et>>2]|0)+-1),at=m|32,(at|0)==97){Oe=m&32,se=(Oe|0)==0?Or:Or+9|0,q=or|2,B=12-f|0;do if(f>>>0>11|(B|0)==0)l=Ge;else{l=8;do B=B+-1|0,l=l*16;while((B|0)!=0);if((o[se>>0]|0)==45){l=-(l+(-Ge-l));break}else{l=Ge+l-l;break}}while(0);k=n[et>>2]|0,B=(k|0)<0?0-k|0:k,B=Km(B,((B|0)<0)<<31>>31,Pr)|0,(B|0)==(Pr|0)&&(B=O+11|0,o[B>>0]=48),o[B+-1>>0]=(k>>31&2)+43,M=B+-2|0,o[M>>0]=m+15,O=(f|0)<1,Q=(d&8|0)==0,B=ir;do Xt=~~l,k=B+1|0,o[B>>0]=u[5694+Xt>>0]|Oe,l=(l-+(Xt|0))*16,(k-Nr|0)==1&&!(Q&(O&l==0))?(o[k>>0]=46,B=B+2|0):B=k;while(l!=0);Xt=B-Nr|0,Nr=Pr-M|0,Pr=(f|0)!=0&(Xt+-2|0)<(f|0)?f+2|0:Xt,B=Nr+q+Pr|0,Bs(s,32,c,B,d),ss(s,se,q),Bs(s,48,c,B,d^65536),ss(s,ir,Xt),Bs(s,48,Pr-Xt|0,0,0),ss(s,M,Nr),Bs(s,32,c,B,d^8192);break}k=(f|0)<0?6:f,B?(B=(n[et>>2]|0)+-28|0,n[et>>2]=B,l=Ge*268435456):(l=Ge,B=n[et>>2]|0),Xt=(B|0)<0?Q:Q+288|0,Q=Xt;do qe=~~l>>>0,n[Q>>2]=qe,Q=Q+4|0,l=(l-+(qe>>>0))*1e9;while(l!=0);if((B|0)>0)for(O=Xt,q=Q;;){if(M=(B|0)<29?B:29,B=q+-4|0,B>>>0>=O>>>0){Q=0;do Ue=m7(n[B>>2]|0,0,M|0)|0,Ue=QT(Ue|0,De|0,Q|0,0)|0,qe=De,Xe=TT(Ue|0,qe|0,1e9,0)|0,n[B>>2]=Xe,Q=FT(Ue|0,qe|0,1e9,0)|0,B=B+-4|0;while(B>>>0>=O>>>0);Q&&(O=O+-4|0,n[O>>2]=Q)}for(Q=q;!(Q>>>0<=O>>>0);)if(B=Q+-4|0,!(n[B>>2]|0))Q=B;else break;if(B=(n[et>>2]|0)-M|0,n[et>>2]=B,(B|0)>0)q=Q;else break}else O=Xt;if((B|0)<0){f=((k+25|0)/9|0)+1|0,Fe=(at|0)==102;do{if(Oe=0-B|0,Oe=(Oe|0)<9?Oe:9,O>>>0<Q>>>0){M=(1<<Oe)+-1|0,q=1e9>>>Oe,se=0,B=O;do qe=n[B>>2]|0,n[B>>2]=(qe>>>Oe)+se,se=He(qe&M,q)|0,B=B+4|0;while(B>>>0<Q>>>0);B=(n[O>>2]|0)==0?O+4|0:O,se?(n[Q>>2]=se,O=B,B=Q+4|0):(O=B,B=Q)}else O=(n[O>>2]|0)==0?O+4|0:O,B=Q;Q=Fe?Xt:O,Q=(B-Q>>2|0)>(f|0)?Q+(f<<2)|0:B,B=(n[et>>2]|0)+Oe|0,n[et>>2]=B}while((B|0)<0);B=O,f=Q}else B=O,f=Q;if(qe=Xt,B>>>0<f>>>0){if(Q=(qe-B>>2)*9|0,M=n[B>>2]|0,M>>>0>=10){O=10;do O=O*10|0,Q=Q+1|0;while(M>>>0>=O>>>0)}}else Q=0;if(Fe=(at|0)==103,Xe=(k|0)!=0,O=k-((at|0)!=102?Q:0)+((Xe&Fe)<<31>>31)|0,(O|0)<(((f-qe>>2)*9|0)+-9|0)){if(O=O+9216|0,Oe=Xt+4+(((O|0)/9|0)+-1024<<2)|0,O=((O|0)%9|0)+1|0,(O|0)<9){M=10;do M=M*10|0,O=O+1|0;while((O|0)!=9)}else M=10;if(q=n[Oe>>2]|0,se=(q>>>0)%(M>>>0)|0,O=(Oe+4|0)==(f|0),O&(se|0)==0)O=Oe;else if(Ge=(((q>>>0)/(M>>>0)|0)&1|0)==0?9007199254740992:9007199254740994,Ue=(M|0)/2|0,l=se>>>0<Ue>>>0?.5:O&(se|0)==(Ue|0)?1:1.5,or&&(Ue=(o[Or>>0]|0)==45,l=Ue?-l:l,Ge=Ue?-Ge:Ge),O=q-se|0,n[Oe>>2]=O,Ge+l!=Ge){if(Ue=O+M|0,n[Oe>>2]=Ue,Ue>>>0>999999999)for(Q=Oe;O=Q+-4|0,n[Q>>2]=0,O>>>0<B>>>0&&(B=B+-4|0,n[B>>2]=0),Ue=(n[O>>2]|0)+1|0,n[O>>2]=Ue,Ue>>>0>999999999;)Q=O;else O=Oe;if(Q=(qe-B>>2)*9|0,q=n[B>>2]|0,q>>>0>=10){M=10;do M=M*10|0,Q=Q+1|0;while(q>>>0>=M>>>0)}}else O=Oe;O=O+4|0,O=f>>>0>O>>>0?O:f,Ue=B}else O=f,Ue=B;for(at=O;;){if(at>>>0<=Ue>>>0){et=0;break}if(B=at+-4|0,!(n[B>>2]|0))at=B;else{et=1;break}}f=0-Q|0;do if(Fe)if(B=((Xe^1)&1)+k|0,(B|0)>(Q|0)&(Q|0)>-5?(M=m+-1|0,k=B+-1-Q|0):(M=m+-2|0,k=B+-1|0),B=d&8,B)Oe=B;else{if(et&&(Lt=n[at+-4>>2]|0,(Lt|0)!=0))if((Lt>>>0)%10|0)O=0;else{O=0,B=10;do B=B*10|0,O=O+1|0;while(!((Lt>>>0)%(B>>>0)|0|0))}else O=9;if(B=((at-qe>>2)*9|0)+-9|0,(M|32|0)==102){Oe=B-O|0,Oe=(Oe|0)>0?Oe:0,k=(k|0)<(Oe|0)?k:Oe,Oe=0;break}else{Oe=B+Q-O|0,Oe=(Oe|0)>0?Oe:0,k=(k|0)<(Oe|0)?k:Oe,Oe=0;break}}else M=m,Oe=d&8;while(0);if(Fe=k|Oe,q=(Fe|0)!=0&1,se=(M|32|0)==102,se)Xe=0,B=(Q|0)>0?Q:0;else{if(B=(Q|0)<0?f:Q,B=Km(B,((B|0)<0)<<31>>31,Pr)|0,O=Pr,(O-B|0)<2)do B=B+-1|0,o[B>>0]=48;while((O-B|0)<2);o[B+-1>>0]=(Q>>31&2)+43,B=B+-2|0,o[B>>0]=M,Xe=B,B=O-B|0}if(B=or+1+k+q+B|0,Bs(s,32,c,B,d),ss(s,Or,or),Bs(s,48,c,B,d^65536),se){M=Ue>>>0>Xt>>>0?Xt:Ue,Oe=ir+9|0,q=Oe,se=ir+8|0,O=M;do{if(Q=Km(n[O>>2]|0,0,Oe)|0,(O|0)==(M|0))(Q|0)==(Oe|0)&&(o[se>>0]=48,Q=se);else if(Q>>>0>ir>>>0){zm(ir|0,48,Q-Nr|0)|0;do Q=Q+-1|0;while(Q>>>0>ir>>>0)}ss(s,Q,q-Q|0),O=O+4|0}while(O>>>0<=Xt>>>0);if(Fe|0&&ss(s,5710,1),O>>>0<at>>>0&(k|0)>0)for(;;){if(Q=Km(n[O>>2]|0,0,Oe)|0,Q>>>0>ir>>>0){zm(ir|0,48,Q-Nr|0)|0;do Q=Q+-1|0;while(Q>>>0>ir>>>0)}if(ss(s,Q,(k|0)<9?k:9),O=O+4|0,Q=k+-9|0,O>>>0<at>>>0&(k|0)>9)k=Q;else{k=Q;break}}Bs(s,48,k+9|0,9,0)}else{if(Fe=et?at:Ue+4|0,(k|0)>-1){et=ir+9|0,Oe=(Oe|0)==0,f=et,q=0-Nr|0,se=ir+8|0,M=Ue;do{Q=Km(n[M>>2]|0,0,et)|0,(Q|0)==(et|0)&&(o[se>>0]=48,Q=se);do if((M|0)==(Ue|0)){if(O=Q+1|0,ss(s,Q,1),Oe&(k|0)<1){Q=O;break}ss(s,5710,1),Q=O}else{if(Q>>>0<=ir>>>0)break;zm(ir|0,48,Q+q|0)|0;do Q=Q+-1|0;while(Q>>>0>ir>>>0)}while(0);Nr=f-Q|0,ss(s,Q,(k|0)>(Nr|0)?Nr:k),k=k-Nr|0,M=M+4|0}while(M>>>0<Fe>>>0&(k|0)>-1)}Bs(s,48,k+18|0,18,0),ss(s,Xe,Pr-Xe|0)}Bs(s,32,c,B,d^8192)}else ir=(m&32|0)!=0,B=or+3|0,Bs(s,32,c,B,d&-65537),ss(s,Or,or),ss(s,l!=l|!1?ir?5686:5690:ir?5678:5682,3),Bs(s,32,c,B,d^8192);while(0);return C=bn,((B|0)<(c|0)?c:B)|0}function A7(s){s=+s;var l=0;return E[v>>3]=s,l=n[v>>2]|0,De=n[v+4>>2]|0,l|0}function GUe(s,l){return s=+s,l=l|0,+ +f7(s,l)}function f7(s,l){s=+s,l=l|0;var c=0,f=0,d=0;switch(E[v>>3]=s,c=n[v>>2]|0,f=n[v+4>>2]|0,d=mD(c|0,f|0,52)|0,d&2047){case 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s=c,c=c+1|0;while((o[s>>0]|0)!=0);if(f=f+-1|0,f)s=5;else break}return JUe(c,n[l+20>>2]|0)|0}function JUe(s,l){return s=s|0,l=l|0,zUe(s,l)|0}function zUe(s,l){return s=s|0,l=l|0,l?l=XUe(n[l>>2]|0,n[l+4>>2]|0,s)|0:l=0,(l|0?l:s)|0}function XUe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0,Q=0,O=0,M=0,q=0,se=0;se=(n[s>>2]|0)+1794895138|0,m=Fg(n[s+8>>2]|0,se)|0,f=Fg(n[s+12>>2]|0,se)|0,d=Fg(n[s+16>>2]|0,se)|0;e:do if(m>>>0<l>>>2>>>0&&(q=l-(m<<2)|0,f>>>0<q>>>0&d>>>0<q>>>0)&&((d|f)&3|0)==0){for(q=f>>>2,M=d>>>2,O=0;;){if(k=m>>>1,Q=O+k|0,B=Q<<1,d=B+q|0,f=Fg(n[s+(d<<2)>>2]|0,se)|0,d=Fg(n[s+(d+1<<2)>>2]|0,se)|0,!(d>>>0<l>>>0&f>>>0<(l-d|0)>>>0)){f=0;break e}if(o[s+(d+f)>>0]|0){f=0;break e}if(f=o7(c,s+d|0)|0,!f)break;if(f=(f|0)<0,(m|0)==1){f=0;break e}else O=f?O:Q,m=f?k:m-k|0}f=B+M|0,d=Fg(n[s+(f<<2)>>2]|0,se)|0,f=Fg(n[s+(f+1<<2)>>2]|0,se)|0,f>>>0<l>>>0&d>>>0<(l-f|0)>>>0?f=(o[s+(f+d)>>0]|0)==0?s+f|0:0:f=0}else f=0;while(0);return f|0}function Fg(s,l){s=s|0,l=l|0;var c=0;return c=C7(s|0)|0,((l|0)==0?s:c)|0}function ZUe(s,l,c){s=s|0,l=l|0,c=c|0;var f=0,d=0,m=0,B=0,k=0;f=c+16|0,d=n[f>>2]|0,d?m=5:$Ue(c)|0?f=0:(d=n[f>>2]|0,m=5);e:do if((m|0)==5){if(k=c+20|0,B=n[k>>2]|0,f=B,(d-B|0)>>>0<l>>>0){f=ED[n[c+36>>2]&7](c,s,l)|0;break}t:do if((o[c+75>>0]|0)>-1){for(B=l;;){if(!B){m=0,d=s;break t}if(d=B+-1|0,(o[s+d>>0]|0)==10)break;B=d}if(f=ED[n[c+36>>2]&7](c,s,B)|0,f>>>0<B>>>0)break e;m=B,d=s+B|0,l=l-B|0,f=n[k>>2]|0}else m=0,d=s;while(0);Dr(f|0,d|0,l|0)|0,n[k>>2]=(n[k>>2]|0)+l,f=m+l|0}while(0);return f|0}function $Ue(s){s=s|0;var l=0,c=0;return l=s+74|0,c=o[l>>0]|0,o[l>>0]=c+255|c,l=n[s>>2]|0,l&8?(n[s>>2]=l|32,s=-1):(n[s+8>>2]=0,n[s+4>>2]=0,c=n[s+44>>2]|0,n[s+28>>2]=c,n[s+20>>2]=c,n[s+16>>2]=c+(n[s+48>>2]|0),s=0),s|0}function _n(s,l){s=y(s),l=y(l);var c=0,f=0;c=p7(s)|0;do if((c&2147483647)>>>0<=2139095040){if(f=p7(l)|0,(f&2147483647)>>>0<=2139095040)if((f^c|0)<0){s=(c|0)<0?l:s;break}else{s=s<l?l:s;break}}else s=l;while(0);return y(s)}function p7(s){return 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w7=[R3e,YLe],I7=[N3e,fo],B7=[ma,xw,bw,wF,IF,Dl,kw,BF,Hm,xu,Fw,vF,$v,WA,eD,jm,tD,rD,qm,ma,ma,ma,ma,ma,ma,ma,ma,ma,ma,ma,ma,ma],v7=[L3e],ef=[Er,Jm,DDe,PDe,SDe,rbe,nbe,ibe,CNe,wNe,INe,FLe,TLe,RLe,eUe,tUe,rUe,hs,Kv,_m,YA,Qw,wve,Ive,gDe,NDe,VDe,APe,SPe,GPe,aSe,ISe,MSe,$Se,gxe,Qxe,Vxe,wbe,Mbe,$be,gke,Qke,Vke,fQe,SQe,HQe,nFe,Sc,RFe,zFe,gTe,TTe,KTe,gRe,DRe,xRe,YRe,KRe,ANe,vNe,SNe,GNe,lLe,a5,qMe,COe,NOe,zOe,y4e,T4e,G4e,V4e,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er,Er],tf=[Ow,hF,gF,Sw,Su,dF,mF,Ip,yF,EF,CF,Zv,VA,Ke,At,Wt,vr,Sn,Fr,PF,lve,Qve,dQe,kQe,MTe,WMe,dLe,Y9,Ow,Ow,Ow,Ow],Ng=[Ja,QUe,pF,D,fe,ve,vt,wt,bt,_r,di,po,sve,ove,Bve,oFe,ZTe,VNe,zMe,Wa,Ja,Ja,Ja,Ja,Ja,Ja,Ja,Ja,Ja,Ja,Ja,Ja],D7=[M3e,vve],z3e=[O3e,hNe],ED=[U3e,s7,FUe,NUe,KPe,Dbe,OFe,e4e],X3e=[_3e,Exe],P7=[Rg,Yo,rt,xn,Dve,Pve,Sve,xve,bve,kve,Rg,Rg,Rg,Rg,Rg,Rg],Z3e=[H3e,IRe],NT=[Uw,r3e,ave,EDe,gPe,uSe,DSe,Xxe,Hbe,YQe,Wv,UOe,Uw,Uw,Uw,Uw],$3e=[j3e,XDe],e_e=[q3e,I4e],S7=[RT,ai,Fve,Tve,Rve,Nxe,RT,RT],CD=[G3e,Nve,Dw,ga,FRe,ZRe,QNe,X4e],x7=[Y3e,Ew],t_e=[W3e,Eke],b7=[V3e,cve],_w=[yD,R,is,en,ho,QPe,_Se,Nke,Xke,Um,hMe,vOe,M4e,yD,yD,yD],k7=[K3e],Q7=[Xm,Jv,zv,Xv,GA,nD,DF,P,nke,eTe,yRe,Xm,Xm,Xm,Xm,Xm],r_e=[J3e,yNe],LT=[Zm,nxe,hFe,ETe,aRe,ORe,iNe,ONe,pLe,rOe,lUe,Zm,Zm,Zm,Zm,Zm];return{_llvm_bswap_i32:C7,dynCall_idd:F3e,dynCall_i:D3e,_i64Subtract:dD,___udivdi3:FT,dynCall_vif:c3e,setThrew:hu,dynCall_viii:b3e,_bitshift64Lshr:mD,_bitshift64Shl:m7,dynCall_vi:f3e,dynCall_viiddi:I3e,dynCall_diii:y3e,dynCall_iii:w3e,_memset:zm,_sbrk:kp,_memcpy:Dr,__GLOBAL__sub_I_Yoga_cpp:Om,dynCall_vii:p3e,___uremdi3:TT,dynCall_vid:u3e,stackAlloc:lo,_nbind_init:EUe,getTempRet0:Ua,dynCall_di:E3e,dynCall_iid:C3e,setTempRet0:xA,_i64Add:QT,dynCall_fiff:A3e,dynCall_iiii:m3e,_emscripten_get_global_libc:kUe,dynCall_viid:Q3e,dynCall_viiid:S3e,dynCall_viififi:x3e,dynCall_ii:h3e,__GLOBAL__sub_I_Binding_cc:NMe,dynCall_viiii:T3e,dynCall_iiiiii:P3e,stackSave:gc,dynCall_viiiii:l3e,__GLOBAL__sub_I_nbind_cc:Lve,dynCall_vidd:d3e,_free:hD,runPostSets:a3e,dynCall_viiiiii:B3e,establishStackSpace:ji,_memmove:Mw,stackRestore:pu,_malloc:pD,__GLOBAL__sub_I_common_cc:tLe,dynCall_viddi:g3e,dynCall_dii:v3e,dynCall_v:k3e}}(Module.asmGlobalArg,Module.asmLibraryArg,buffer),_llvm_bswap_i32=Module._llvm_bswap_i32=asm._llvm_bswap_i32,getTempRet0=Module.getTempRet0=asm.getTempRet0,___udivdi3=Module.___udivdi3=asm.___udivdi3,setThrew=Module.setThrew=asm.setThrew,_bitshift64Lshr=Module._bitshift64Lshr=asm._bitshift64Lshr,_bitshift64Shl=Module._bitshift64Shl=asm._bitshift64Shl,_memset=Module._memset=asm._memset,_sbrk=Module._sbrk=asm._sbrk,_memcpy=Module._memcpy=asm._memcpy,stackAlloc=Module.stackAlloc=asm.stackAlloc,___uremdi3=Module.___uremdi3=asm.___uremdi3,_nbind_init=Module._nbind_init=asm._nbind_init,_i64Subtract=Module._i64Subtract=asm._i64Subtract,setTempRet0=Module.setTempRet0=asm.setTempRet0,_i64Add=Module._i64Add=asm._i64Add,_emscripten_get_global_libc=Module._emscripten_get_global_libc=asm._emscripten_get_global_libc,__GLOBAL__sub_I_Yoga_cpp=Module.__GLOBAL__sub_I_Yoga_cpp=asm.__GLOBAL__sub_I_Yoga_cpp,__GLOBAL__sub_I_Binding_cc=Module.__GLOBAL__sub_I_Binding_cc=asm.__GLOBAL__sub_I_Binding_cc,stackSave=Module.stackSave=asm.stackSave,__GLOBAL__sub_I_nbind_cc=Module.__GLOBAL__sub_I_nbind_cc=asm.__GLOBAL__sub_I_nbind_cc,_free=Module._free=asm._free,runPostSets=Module.runPostSets=asm.runPostSets,establishStackSpace=Module.establishStackSpace=asm.establishStackSpace,_memmove=Module._memmove=asm._memmove,stackRestore=Module.stackRestore=asm.stackRestore,_malloc=Module._malloc=asm._malloc,__GLOBAL__sub_I_common_cc=Module.__GLOBAL__sub_I_common_cc=asm.__GLOBAL__sub_I_common_cc,dynCall_viiiii=Module.dynCall_viiiii=asm.dynCall_viiiii,dynCall_vif=Module.dynCall_vif=asm.dynCall_vif,dynCall_vid=Module.dynCall_vid=asm.dynCall_vid,dynCall_fiff=Module.dynCall_fiff=asm.dynCall_fiff,dynCall_vi=Module.dynCall_vi=asm.dynCall_vi,dynCall_vii=Module.dynCall_vii=asm.dynCall_vii,dynCall_ii=Module.dynCall_ii=asm.dynCall_ii,dynCall_viddi=Module.dynCall_viddi=asm.dynCall_viddi,dynCall_vidd=Module.dynCall_vidd=asm.dynCall_vidd,dynCall_iiii=Module.dynCall_iiii=asm.dynCall_iiii,dynCall_diii=Module.dynCall_diii=asm.dynCall_diii,dynCall_di=Module.dynCall_di=asm.dynCall_di,dynCall_iid=Module.dynCall_iid=asm.dynCall_iid,dynCall_iii=Module.dynCall_iii=asm.dynCall_iii,dynCall_viiddi=Module.dynCall_viiddi=asm.dynCall_viiddi,dynCall_viiiiii=Module.dynCall_viiiiii=asm.dynCall_viiiiii,dynCall_dii=Module.dynCall_dii=asm.dynCall_dii,dynCall_i=Module.dynCall_i=asm.dynCall_i,dynCall_iiiiii=Module.dynCall_iiiiii=asm.dynCall_iiiiii,dynCall_viiid=Module.dynCall_viiid=asm.dynCall_viiid,dynCall_viififi=Module.dynCall_viififi=asm.dynCall_viififi,dynCall_viii=Module.dynCall_viii=asm.dynCall_viii,dynCall_v=Module.dynCall_v=asm.dynCall_v,dynCall_viid=Module.dynCall_viid=asm.dynCall_viid,dynCall_idd=Module.dynCall_idd=asm.dynCall_idd,dynCall_viiii=Module.dynCa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ExitStatus(t){this.name="ExitStatus",this.message="Program terminated with exit("+t+")",this.status=t}ExitStatus.prototype=new Error,ExitStatus.prototype.constructor=ExitStatus;var initialStackTop,preloadStartTime=null,calledMain=!1;dependenciesFulfilled=function t(){Module.calledRun||run(),Module.calledRun||(dependenciesFulfilled=t)},Module.callMain=Module.callMain=function t(e){e=e||[],ensureInitRuntime();var r=e.length+1;function o(){for(var p=0;p<4-1;p++)a.push(0)}var a=[allocate(intArrayFromString(Module.thisProgram),"i8",ALLOC_NORMAL)];o();for(var n=0;n<r-1;n=n+1)a.push(allocate(intArrayFromString(e[n]),"i8",ALLOC_NORMAL)),o();a.push(0),a=allocate(a,"i32",ALLOC_NORMAL);try{var u=Module._main(r,a,0);exit(u,!0)}catch(p){if(p instanceof ExitStatus)return;if(p=="SimulateInfiniteLoop"){Module.noExitRuntime=!0;return}else{var A=p;p&&typeof p=="object"&&p.stack&&(A=[p,p.stack]),Module.printErr("exception thrown: "+A),Module.quit(1,p)}}finally{calledMain=!0}};function run(t){if(t=t||Module.arguments,preloadStartTime===null&&(preloadStartTime=Date.now()),runDependencies>0||(preRun(),runDependencies>0)||Module.calledRun)return;function e(){Module.calledRun||(Module.calledRun=!0,!ABORT&&(ensureInitRuntime(),preMain(),Module.onRuntimeInitialized&&Module.onRuntimeInitialized(),Module._main&&shouldRunNow&&Module.callMain(t),postRun()))}Module.setStatus?(Module.setStatus("Running..."),setTimeout(function(){setTimeout(function(){Module.setStatus("")},1),e()},1)):e()}Module.run=Module.run=run;function exit(t,e){e&&Module.noExitRuntime||(Module.noExitRuntime||(ABORT=!0,EXITSTATUS=t,STACKTOP=initialStackTop,exitRuntime(),Module.onExit&&Module.onExit(t)),ENVIRONMENT_IS_NODE&&process.exit(t),Module.quit(t,new ExitStatus(t)))}Module.exit=Module.exit=exit;var abortDecorators=[];function abort(t){Module.onAbort&&Module.onAbort(t),t!==void 0?(Module.print(t),Module.printErr(t),t=JSON.stringify(t)):t="",ABORT=!0,EXITSTATUS=1;var e=`
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","base64")).toString()),Gj)});var VIe=_((wzt,WIe)=>{var $j=Symbol("arg flag"),Ma=class extends Error{constructor(e,r){super(e),this.name="ArgError",this.code=r,Object.setPrototypeOf(this,Ma.prototype)}};function iv(t,{argv:e=process.argv.slice(2),permissive:r=!1,stopAtPositional:o=!1}={}){if(!t)throw new Ma("argument specification object is required","ARG_CONFIG_NO_SPEC");let a={_:[]},n={},u={};for(let A of Object.keys(t)){if(!A)throw new Ma("argument key cannot be an empty string","ARG_CONFIG_EMPTY_KEY");if(A[0]!=="-")throw new Ma(`argument key must start with '-' but found: '${A}'`,"ARG_CONFIG_NONOPT_KEY");if(A.length===1)throw new Ma(`argument key must have a name; singular '-' keys are not allowed: ${A}`,"ARG_CONFIG_NONAME_KEY");if(typeof t[A]=="string"){n[A]=t[A];continue}let p=t[A],h=!1;if(Array.isArray(p)&&p.length===1&&typeof p[0]=="function"){let[E]=p;p=(I,v,b=[])=>(b.push(E(I,v,b[b.length-1])),b),h=E===Boolean||E[$j]===!0}else if(typeof p=="function")h=p===Boolean||p[$j]===!0;else throw new Ma(`type missing or not a function or valid array type: ${A}`,"ARG_CONFIG_VAD_TYPE");if(A[1]!=="-"&&A.length>2)throw new Ma(`short argument keys (with a single hyphen) must have only one character: ${A}`,"ARG_CONFIG_SHORTOPT_TOOLONG");u[A]=[p,h]}for(let A=0,p=e.length;A<p;A++){let h=e[A];if(o&&a._.length>0){a._=a._.concat(e.slice(A));break}if(h==="--"){a._=a._.concat(e.slice(A+1));break}if(h.length>1&&h[0]==="-"){let E=h[1]==="-"||h.length===2?[h]:h.slice(1).split("").map(I=>`-${I}`);for(let I=0;I<E.length;I++){let v=E[I],[b,C]=v[1]==="-"?v.split(/=(.*)/,2):[v,void 0],T=b;for(;T in n;)T=n[T];if(!(T in u))if(r){a._.push(v);continue}else throw new Ma(`unknown or unexpected option: ${b}`,"ARG_UNKNOWN_OPTION");let[L,U]=u[T];if(!U&&I+1<E.length)throw new Ma(`option requires argument (but was followed by another short argument): ${b}`,"ARG_MISSING_REQUIRED_SHORTARG");if(U)a[T]=L(!0,T,a[T]);else if(C===void 0){if(e.length<A+2||e[A+1].length>1&&e[A+1][0]==="-"&&!(e[A+1].match(/^-?\d*(\.(?=\d))?\d*$/)&&(L===Number||typeof BigInt<"u"&&L===BigInt))){let J=b===T?"":` (alias for ${T})`;throw new Ma(`option requires argument: ${b}${J}`,"ARG_MISSING_REQUIRED_LONGARG")}a[T]=L(e[A+1],T,a[T]),++A}else a[T]=L(C,T,a[T])}}else a._.push(h)}return a}iv.flag=t=>(t[$j]=!0,t);iv.COUNT=iv.flag((t,e,r)=>(r||0)+1);iv.ArgError=Ma;WIe.exports=iv});var t1e=_((Kzt,e1e)=>{var nq;e1e.exports=()=>(typeof nq>"u"&&(nq=Be("zlib").brotliDecompressSync(Buffer.from("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r=t._readableState;$r("pipeOnDrain",r.awaitDrain),r.awaitDrain&&r.awaitDrain--,r.awaitDrain===0&&d2e(t,"data")&&(r.flowing=!0,eG(t))}}mn.prototype.unpipe=function(t){var e=this._readableState,r={hasUnpiped:!1};if(e.pipesCount===0)return this;if(e.pipesCount===1)return t&&t!==e.pipes?this:(t||(t=e.pipes),e.pipes=null,e.pipesCount=0,e.flowing=!1,t&&t.emit("unpipe",this,r),this);if(!t){var o=e.pipes,a=e.pipesCount;e.pipes=null,e.pipesCount=0,e.flowing=!1;for(var n=0;n<a;n++)o[n].emit("unpipe",this,{hasUnpiped:!1});return this}var u=I2e(e.pipes,t);return u===-1?this:(e.pipes.splice(u,1),e.pipesCount-=1,e.pipesCount===1&&(e.pipes=e.pipes[0]),t.emit("unpipe",this,r),this)};mn.prototype.on=function(t,e){var r=wv.prototype.on.call(this,t,e),o=this._readableState;return t==="data"?(o.readableListening=this.listenerCount("readable")>0,o.flowing!==!1&&this.resume()):t==="readable"&&!o.endEmitted&&!o.readableListening&&(o.readableListening=o.needReadable=!0,o.flowing=!1,o.emittedReadable=!1,$r("on 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vBt(t,e){$r("resume",e.reading),e.reading||t.read(0),e.resumeScheduled=!1,t.emit("resume"),eG(t),e.flowing&&!e.reading&&t.read(0)}mn.prototype.pause=function(){return $r("call pause flowing=%j",this._readableState.flowing),this._readableState.flowing!==!1&&($r("pause"),this._readableState.flowing=!1,this.emit("pause")),this._readableState.paused=!0,this};function eG(t){var e=t._readableState;for($r("flow",e.flowing);e.flowing&&t.read()!==null;);}mn.prototype.wrap=function(t){var e=this,r=this._readableState,o=!1;t.on("end",function(){if($r("wrapped end"),r.decoder&&!r.ended){var u=r.decoder.end();u&&u.length&&e.push(u)}e.push(null)}),t.on("data",function(u){if($r("wrapped data"),r.decoder&&(u=r.decoder.write(u)),!(r.objectMode&&u==null)&&!(!r.objectMode&&(!u||!u.length))){var A=e.push(u);A||(o=!0,t.pause())}});for(var a in t)this[a]===void 0&&typeof t[a]=="function"&&(this[a]=function(A){return function(){return t[A].apply(t,arguments)}}(a));for(var n=0;n<Jq.length;n++)t.on(Jq[n],this.emit.bind(this,Jq[n]));return this._read=function(u){$r("wrapped _read",u),o&&(o=!1,t.resume())},this};typeof Symbol=="function"&&(mn.prototype[Symbol.asyncIterator]=function(){return Vq===void 0&&(Vq=c2e()),Vq(this)});Object.defineProperty(mn.prototype,"readableHighWaterMark",{enumerable:!1,get:function(){return this._readableState.highWaterMark}});Object.defineProperty(mn.prototype,"readableBuffer",{enumerable:!1,get:function(){return this._readableState&&this._readableState.buffer}});Object.defineProperty(mn.prototype,"readableFlowing",{enumerable:!1,get:function(){return this._readableState.flowing},set:function(e){this._readableState&&(this._readableState.flowing=e)}});mn._fromList=w2e;Object.defineProperty(mn.prototype,"readableLength",{enumerable:!1,get:function(){return this._readableState.length}});function w2e(t,e){if(e.length===0)return null;var r;return e.objectMode?r=e.buffer.shift():!t||t>=e.length?(e.decoder?r=e.buffer.join(""):e.buffer.length===1?r=e.buffer.first():r=e.buffer.concat(e.length),e.buffer.clear()):r=e.buffer.consume(t,e.decoder),r}function Xq(t){var e=t._readableState;$r("endReadable",e.endEmitted),e.endEmitted||(e.ended=!0,process.nextTick(DBt,e,t))}function DBt(t,e){if($r("endReadableNT",t.endEmitted,t.length),!t.endEmitted&&t.length===0&&(t.endEmitted=!0,e.readable=!1,e.emit("end"),t.autoDestroy)){var r=e._writableState;(!r||r.autoDestroy&&r.finished)&&e.destroy()}}typeof Symbol=="function"&&(mn.from=function(t,e){return Kq===void 0&&(Kq=p2e()),Kq(mn,t,e)});function I2e(t,e){for(var r=0,o=t.length;r<o;r++)if(t[r]===e)return r;return-1}});var tG=_((k$t,D2e)=>{"use strict";D2e.exports=ip;var GQ=k0().codes,PBt=GQ.ERR_METHOD_NOT_IMPLEMENTED,SBt=GQ.ERR_MULTIPLE_CALLBACK,xBt=GQ.ERR_TRANSFORM_ALREADY_TRANSFORMING,bBt=GQ.ERR_TRANSFORM_WITH_LENGTH_0,YQ=Em();Q0()(ip,YQ);function kBt(t,e){var 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0},ownKeys(t){return Object.keys(t.__specs)},get(t,e){return typeof e=="symbol"||e.slice(0,2)==="__"||e in Bm.prototype?t[e]:t.get(e)},set(t,e,r){if(typeof e=="symbol"||e.slice(0,2)==="__")return t[e]=r,!0;throw new Error("figgyPudding options cannot be modified. 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Use .concat() and shadow them instead.")}};pBe.exports=Evt;function Evt(t,e){function r(...o){return new Proxy(new Bm(t,e,o),fBe)}return r}function ABe(t){let e=[];return t.forEach(r=>e.unshift(r)),e}function Cvt(t){return Object.keys(t).map(e=>[e,t[e]])}});var mBe=_((ser,IA)=>{"use strict";var kv=Be("crypto"),wvt=hBe(),Ivt=Be("stream").Transform,gBe=["sha256","sha384","sha512"],Bvt=/^[a-z0-9+/]+(?:=?=?)$/i,vvt=/^([^-]+)-([^?]+)([?\S*]*)$/,Dvt=/^([^-]+)-([A-Za-z0-9+/=]{44,88})(\?[\x21-\x7E]*)*$/,Pvt=/^[\x21-\x7E]+$/,ia=wvt({algorithms:{default:["sha512"]},error:{default:!1},integrity:{},options:{default:[]},pickAlgorithm:{default:()=>Rvt},Promise:{default:()=>Promise},sep:{default:" "},single:{default:!1},size:{},strict:{default:!1}}),U0=class{get isHash(){return!0}constructor(e,r){r=ia(r);let o=!!r.strict;this.source=e.trim();let a=this.source.match(o?Dvt:vvt);if(!a||o&&!gBe.some(u=>u===a[1]))return;this.algorithm=a[1],this.digest=a[2];let n=a[3];this.options=n?n.slice(1).split("?"):[]}hexDigest(){return this.digest&&Buffer.from(this.digest,"base64").toString("hex")}toJSON(){return this.toString()}toString(e){if(e=ia(e),e.strict&&!(gBe.some(o=>o===this.algorithm)&&this.digest.match(Bvt)&&(this.options||[]).every(o=>o.match(Pvt))))return"";let r=this.options&&this.options.length?`?${this.options.join("?")}`:"";return`${this.algorithm}-${this.digest}${r}`}},vm=class{get isIntegrity(){return!0}toJSON(){return this.toString()}toString(e){e=ia(e);let r=e.sep||" ";return e.strict&&(r=r.replace(/\S+/g," ")),Object.keys(this).map(o=>this[o].map(a=>U0.prototype.toString.call(a,e)).filter(a=>a.length).join(r)).filter(o=>o.length).join(r)}concat(e,r){r=ia(r);let o=typeof e=="string"?e:bv(e,r);return wA(`${this.toString(r)} ${o}`,r)}hexDigest(){return wA(this,{single:!0}).hexDigest()}match(e,r){r=ia(r);let o=wA(e,r),a=o.pickAlgorithm(r);return this[a]&&o[a]&&this[a].find(n=>o[a].find(u=>n.digest===u.digest))||!1}pickAlgorithm(e){e=ia(e);let r=e.pickAlgorithm,o=Object.keys(this);if(!o.length)throw new Error(`No algorithms available for ${JSON.stringify(this.toString())}`);return o.reduce((a,n)=>r(a,n)||a)}};IA.exports.parse=wA;function wA(t,e){if(e=ia(e),typeof t=="string")return dG(t,e);if(t.algorithm&&t.digest){let r=new vm;return r[t.algorithm]=[t],dG(bv(r,e),e)}else return dG(bv(t,e),e)}function dG(t,e){return e.single?new U0(t,e):t.trim().split(/\s+/).reduce((r,o)=>{let a=new U0(o,e);if(a.algorithm&&a.digest){let n=a.algorithm;r[n]||(r[n]=[]),r[n].push(a)}return r},new vm)}IA.exports.stringify=bv;function bv(t,e){return e=ia(e),t.algorithm&&t.digest?U0.prototype.toString.call(t,e):typeof t=="string"?bv(wA(t,e),e):vm.prototype.toString.call(t,e)}IA.exports.fromHex=Svt;function Svt(t,e,r){r=ia(r);let o=r.options&&r.options.length?`?${r.options.join("?")}`:"";return wA(`${e}-${Buffer.from(t,"hex").toString("base64")}${o}`,r)}IA.exports.fromData=xvt;function xvt(t,e){e=ia(e);let r=e.algorithms,o=e.options&&e.options.length?`?${e.options.join("?")}`:"";return r.reduce((a,n)=>{let u=kv.createHash(n).update(t).digest("base64"),A=new U0(`${n}-${u}${o}`,e);if(A.algorithm&&A.digest){let p=A.algorithm;a[p]||(a[p]=[]),a[p].push(A)}return a},new vm)}IA.exports.fromStream=bvt;function bvt(t,e){e=ia(e);let r=e.Promise||Promise,o=mG(e);return new r((a,n)=>{t.pipe(o),t.on("error",n),o.on("error",n);let u;o.on("integrity",A=>{u=A}),o.on("end",()=>a(u)),o.on("data",()=>{})})}IA.exports.checkData=kvt;function kvt(t,e,r){if(r=ia(r),e=wA(e,r),!Object.keys(e).length){if(r.error)throw Object.assign(new Error("No valid integrity hashes to check against"),{code:"EINTEGRITY"});return!1}let o=e.pickAlgorithm(r),a=kv.createHash(o).update(t).digest("base64"),n=wA({algorithm:o,digest:a}),u=n.match(e,r);if(u||!r.error)return u;if(typeof r.size=="number"&&t.length!==r.size){let A=new Error(`data size mismatch when checking ${e}.
+  Wanted: ${r.size}
+  Found: ${t.length}`);throw A.code="EBADSIZE",A.found=t.length,A.expected=r.size,A.sri=e,A}else{let A=new Error(`Integrity checksum failed when using ${o}: Wanted ${e}, but got ${n}. (${t.length} bytes)`);throw A.code="EINTEGRITY",A.found=n,A.expected=e,A.algorithm=o,A.sri=e,A}}IA.exports.checkStream=Qvt;function Qvt(t,e,r){r=ia(r);let o=r.Promise||Promise,a=mG(r.concat({integrity:e}));return new o((n,u)=>{t.pipe(a),t.on("error",u),a.on("error",u);let A;a.on("verified",p=>{A=p}),a.on("end",()=>n(A)),a.on("data",()=>{})})}IA.exports.integrityStream=mG;function mG(t){t=ia(t);let e=t.integrity&&wA(t.integrity,t),r=e&&Object.keys(e).length,o=r&&e.pickAlgorithm(t),a=r&&e[o],n=Array.from(new Set(t.algorithms.concat(o?[o]:[]))),u=n.map(kv.createHash),A=0,p=new Ivt({transform(h,E,I){A+=h.length,u.forEach(v=>v.update(h,E)),I(null,h,E)}}).on("end",()=>{let h=t.options&&t.options.length?`?${t.options.join("?")}`:"",E=wA(u.map((v,b)=>`${n[b]}-${v.digest("base64")}${h}`).join(" "),t),I=r&&E.match(e,t);if(typeof t.size=="number"&&A!==t.size){let v=new Error(`stream size mismatch when checking ${e}.
+  Wanted: ${t.size}
+  Found: ${A}`);v.code="EBADSIZE",v.found=A,v.expected=t.size,v.sri=e,p.emit("error",v)}else if(t.integrity&&!I){let v=new Error(`${e} integrity checksum failed when using ${o}: wanted ${a} but got ${E}. 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u<"u")te=u+te;else if(n!==!1){let ye=typeof n=="string"?n:A.range;te=O0e(ye,{project:r})+te}let pe=W.makeDescriptor(T,W.makeRange({protocol:L,source:U,params:J,selector:te}));(await E.getCandidates(r.configuration.normalizeDependency(pe),{},v)).length!==1&&(te=le)}return W.makeDescriptor(T,W.makeRange({protocol:L,source:U,params:J,selector:te}))}async function spt(t){return await oe.mktempPromise(async e=>{let r=Ve.create(e);return r.useWithSource(e,{enableMirror:!1,compressionLevel:0},e,{overwrite:!0}),await t(new Lr(e,{configuration:r,check:!1,immutable:!1}))})}var bh=class extends ut{constructor(){super(...arguments);this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.fixed=ge.Boolean("-F,--fixed",!1,{description:"Store dependency tags as-is instead of resolving them"});this.exact=ge.Boolean("-E,--exact",!1,{description:"Don't use any semver modifier on the resolved range"});this.tilde=ge.Boolean("-T,--tilde",!1,{description:"Use the `~` semver modifier on the resolved range"});this.caret=ge.Boolean("-C,--caret",!1,{description:"Use the `^` semver modifier on the resolved range"});this.dev=ge.Boolean("-D,--dev",!1,{description:"Add a package as a dev dependency"});this.peer=ge.Boolean("-P,--peer",!1,{description:"Add a package as a peer dependency"});this.optional=ge.Boolean("-O,--optional",!1,{description:"Add / upgrade a package to an optional regular / peer dependency"});this.preferDev=ge.Boolean("--prefer-dev",!1,{description:"Add / upgrade a package to a dev dependency"});this.interactive=ge.Boolean("-i,--interactive",{description:"Reuse the specified package from other workspaces in the project"});this.cached=ge.Boolean("--cached",!1,{description:"Reuse the highest version already used somewhere within the project"});this.mode=ge.String("--mode",{description:"Change what artifacts installs generate",validator:Vs(pl)});this.silent=ge.Boolean("--silent",{hidden:!0});this.packages=ge.Rest()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);await o.restoreInstallState({restoreResolutions:!1});let u=this.fixed,A=this.interactive??r.get("preferInteractive"),p=A||r.get("preferReuse"),h=p2(this,o),E=[p?"reuse":void 0,"project",this.cached?"cache":void 0,"latest"].filter(U=>typeof U<"u"),I=A?1/0:1,v=await Promise.all(this.packages.map(async U=>{let J=U.match(/^\.{0,2}\//)?await P8(U,{cwd:this.context.cwd,workspace:a}):W.tryParseDescriptor(U),te=U.match(/^(https?:|git@github)/);if(te)throw new it(`It seems you are trying to add a package using a ${de.pretty(r,`${te[0]}...`,de.Type.RANGE)} url; we now require package names to be explicitly specified.
+Try running the command again with the package name prefixed: ${de.pretty(r,"yarn add",de.Type.CODE)} ${de.pretty(r,W.makeDescriptor(W.makeIdent(null,"my-package"),`${te[0]}...`),de.Type.DESCRIPTOR)}`);if(!J)throw new it(`The ${de.pretty(r,U,de.Type.CODE)} string didn't match the required format (package-name@range). Did you perhaps forget to explicitly reference the package name?`);let le=opt(a,J,{dev:this.dev,peer:this.peer,preferDev:this.preferDev,optional:this.optional});return await Promise.all(le.map(async Ae=>{let ye=await h2(J,{project:o,workspace:a,cache:n,fixed:u,target:Ae,modifier:h,strategies:E,maxResults:I});return{request:J,suggestedDescriptors:ye,target:Ae}}))})).then(U=>U.flat()),b=await AA.start({configuration:r,stdout:this.context.stdout,suggestInstall:!1},async U=>{for(let{request:J,suggestedDescriptors:{suggestions:te,rejections:le}}of v)if(te.filter(Ae=>Ae.descriptor!==null).length===0){let[Ae]=le;if(typeof Ae>"u")throw new Error("Assertion failed: Expected an error to have been set");o.configuration.get("enableNetwork")?U.reportError(27,`${W.prettyDescriptor(r,J)} can't be resolved to a satisfying range`):U.reportError(27,`${W.prettyDescriptor(r,J)} can't be resolved to a satisfying range (note: network resolution has been disabled)`),U.reportSeparator(),U.reportExceptionOnce(Ae)}});if(b.hasErrors())return b.exitCode();let C=!1,T=[],L=[];for(let{suggestedDescriptors:{suggestions:U},target:J}of v){let te,le=U.filter(ae=>ae.descriptor!==null),pe=le[0].descriptor,Ae=le.every(ae=>W.areDescriptorsEqual(ae.descriptor,pe));le.length===1||Ae?te=pe:(C=!0,{answer:te}=await(0,j0e.prompt)({type:"select",name:"answer",message:"Which range do you want to use?",choices:U.map(({descriptor:ae,name:we,reason:Pe})=>ae?{name:we,hint:Pe,descriptor:ae}:{name:we,hint:Pe,disabled:!0}),onCancel:()=>process.exit(130),result(ae){return this.find(ae,"descriptor")},stdin:this.context.stdin,stdout:this.context.stdout}));let ye=a.manifest[J].get(te.identHash);(typeof ye>"u"||ye.descriptorHash!==te.descriptorHash)&&(a.manifest[J].set(te.identHash,te),this.optional&&(J==="dependencies"?a.manifest.ensureDependencyMeta({...te,range:"unknown"}).optional=!0:J==="peerDependencies"&&(a.manifest.ensurePeerDependencyMeta({...te,range:"unknown"}).optional=!0)),typeof ye>"u"?T.push([a,J,te,E]):L.push([a,J,ye,te]))}return await r.triggerMultipleHooks(U=>U.afterWorkspaceDependencyAddition,T),await r.triggerMultipleHooks(U=>U.afterWorkspaceDependencyReplacement,L),C&&this.context.stdout.write(`
+`),await o.installWithNewReport({json:this.json,stdout:this.context.stdout,quiet:this.context.quiet},{cache:n,mode:this.mode})}};bh.paths=[["add"]],bh.usage=nt.Usage({description:"add dependencies to the project",details:"\n      This command adds a package to the package.json for the nearest workspace.\n\n      - If it didn't exist before, the package will by default be added to the regular `dependencies` field, but this behavior can be overriden thanks to the `-D,--dev` flag (which will cause the dependency to be added to the `devDependencies` field instead) and the `-P,--peer` flag (which will do the same but for `peerDependencies`).\n\n      - If the package was already listed in your dependencies, it will by default be upgraded whether it's part of your `dependencies` or `devDependencies` (it won't ever update `peerDependencies`, though).\n\n      - If set, the `--prefer-dev` flag will operate as a more flexible `-D,--dev` in that it will add the package to your `devDependencies` if it isn't already listed in either `dependencies` or `devDependencies`, but it will also happily upgrade your `dependencies` if that's what you already use (whereas `-D,--dev` would throw an exception).\n\n      - If set, the `-O,--optional` flag will add the package to the `optionalDependencies` field and, in combination with the `-P,--peer` flag, it will add the package as an optional peer dependency. If the package was already listed in your `dependencies`, it will be upgraded to `optionalDependencies`. If the package was already listed in your `peerDependencies`, in combination with the `-P,--peer` flag, it will be upgraded to an optional peer dependency: `\"peerDependenciesMeta\": { \"<package>\": { \"optional\": true } }`\n\n      - If the added package doesn't specify a range at all its `latest` tag will be resolved and the returned version will be used to generate a new semver range (using the `^` modifier by default unless otherwise configured via the `defaultSemverRangePrefix` configuration, or the `~` modifier if `-T,--tilde` is specified, or no modifier at all if `-E,--exact` is specified). Two exceptions to this rule: the first one is that if the package is a workspace then its local version will be used, and the second one is that if you use `-P,--peer` the default range will be `*` and won't be resolved at all.\n\n      - If the added package specifies a range (such as `^1.0.0`, `latest`, or `rc`), Yarn will add this range as-is in the resulting package.json entry (in particular, tags such as `rc` will be encoded as-is rather than being converted into a semver range).\n\n      If the `--cached` option is used, Yarn will preferably reuse the highest version already used somewhere within the project, even if through a transitive dependency.\n\n      If the `-i,--interactive` option is used (or if the `preferInteractive` settings is toggled on) the command will first try to check whether other workspaces in the project use the specified package and, if so, will offer to reuse them.\n\n      If the `--mode=<mode>` option is set, Yarn will change which artifacts are generated. The modes currently supported are:\n\n      - `skip-build` will not run the build scripts at all. Note that this is different from setting `enableScripts` to false because the latter will disable build scripts, and thus affect the content of the artifacts generated on disk, whereas the former will just disable the build step - but not the scripts themselves, which just won't run.\n\n      - `update-lockfile` will skip the link step altogether, and only fetch packages that are missing from the lockfile (or that have no associated checksums). This mode is typically used by tools like Renovate or Dependabot to keep a lockfile up-to-date without incurring the full install cost.\n\n      For a compilation of all the supported protocols, please consult the dedicated page from our website: https://yarnpkg.com/protocols.\n    ",examples:[["Add a regular package to the current workspace","$0 add lodash"],["Add a specific version for a package to the current workspace","$0 add lodash@1.2.3"],["Add a package from a GitHub repository (the master branch) to the current workspace using a URL","$0 add lodash@https://github.com/lodash/lodash"],["Add a package from a GitHub repository (the master branch) to the current workspace using the GitHub protocol","$0 add lodash@github:lodash/lodash"],["Add a package from a GitHub repository (the master branch) to the current workspace using the GitHub protocol (shorthand)","$0 add lodash@lodash/lodash"],["Add a package from a specific branch of a GitHub repository to the current workspace using the GitHub protocol (shorthand)","$0 add lodash-es@lodash/lodash#es"]]});function opt(t,e,{dev:r,peer:o,preferDev:a,optional:n}){let u=t.manifest["dependencies"].has(e.identHash),A=t.manifest["devDependencies"].has(e.identHash),p=t.manifest["peerDependencies"].has(e.identHash);if((r||o)&&u)throw new it(`Package "${W.prettyIdent(t.project.configuration,e)}" is already listed as a regular dependency - remove the -D,-P flags or remove it from your dependencies first`);if(!r&&!o&&p)throw new it(`Package "${W.prettyIdent(t.project.configuration,e)}" is already listed as a peer dependency - use either of -D or -P, or remove it from your peer dependencies first`);if(n&&A)throw new it(`Package "${W.prettyIdent(t.project.configuration,e)}" is already listed as a dev dependency - remove the -O flag or remove it from your dev dependencies first`);if(n&&!o&&p)throw new it(`Package "${W.prettyIdent(t.project.configuration,e)}" is already listed as a peer dependency - remove the -O flag or add the -P flag or remove it from your peer dependencies first`);if((r||a)&&n)throw new it(`Package "${W.prettyIdent(t.project.configuration,e)}" cannot simultaneously be a dev dependency and an optional dependency`);let h=[];return o&&h.push("peerDependencies"),(r||a)&&h.push("devDependencies"),n&&h.push("dependencies"),h.length>0?h:A?["devDependencies"]:p?["peerDependencies"]:["dependencies"]}Ye();Ye();qt();var kh=class extends ut{constructor(){super(...arguments);this.verbose=ge.Boolean("-v,--verbose",!1,{description:"Print both the binary name and the locator of the package that provides the binary"});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.name=ge.String({required:!1})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,locator:a}=await St.find(r,this.context.cwd);if(await o.restoreInstallState(),this.name){let A=(await un.getPackageAccessibleBinaries(a,{project:o})).get(this.name);if(!A)throw new it(`Couldn't find a binary named "${this.name}" for package "${W.prettyLocator(r,a)}"`);let[,p]=A;return this.context.stdout.write(`${p}
+`),0}return(await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout},async u=>{let A=await un.getPackageAccessibleBinaries(a,{project:o}),h=Array.from(A.keys()).reduce((E,I)=>Math.max(E,I.length),0);for(let[E,[I,v]]of A)u.reportJson({name:E,source:W.stringifyIdent(I),path:v});if(this.verbose)for(let[E,[I]]of A)u.reportInfo(null,`${E.padEnd(h," ")}   ${W.prettyLocator(r,I)}`);else for(let E of A.keys())u.reportInfo(null,E)})).exitCode()}};kh.paths=[["bin"]],kh.usage=nt.Usage({description:"get the path to a binary script",details:`
+      When used without arguments, this command will print the list of all the binaries available in the current workspace. Adding the \`-v,--verbose\` flag will cause the output to contain both the binary name and the locator of the package that provides the binary.
+
+      When an argument is specified, this command will just print the path to the binary on the standard output and exit. Note that the reported path may be stored within a zip archive.
+    `,examples:[["List all the available binaries","$0 bin"],["Print the path to a specific binary","$0 bin eslint"]]});Ye();Pt();qt();var Qh=class extends ut{constructor(){super(...arguments);this.mirror=ge.Boolean("--mirror",!1,{description:"Remove the global cache files instead of the local cache files"});this.all=ge.Boolean("--all",!1,{description:"Remove both the global cache files and the local cache files of the current project"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),o=await Lr.find(r);return(await Nt.start({configuration:r,stdout:this.context.stdout},async()=>{let n=(this.all||this.mirror)&&o.mirrorCwd!==null,u=!this.mirror;n&&(await oe.removePromise(o.mirrorCwd),await r.triggerHook(A=>A.cleanGlobalArtifacts,r)),u&&await oe.removePromise(o.cwd)})).exitCode()}};Qh.paths=[["cache","clean"],["cache","clear"]],Qh.usage=nt.Usage({description:"remove the shared cache files",details:`
+      This command will remove all the files from the cache.
+    `,examples:[["Remove all the local archives","$0 cache clean"],["Remove all the archives stored in the ~/.yarn directory","$0 cache clean --mirror"]]});Ye();qt();var G0e=$e(g2()),x8=Be("util"),Fh=class extends ut{constructor(){super(...arguments);this.why=ge.Boolean("--why",!1,{description:"Print the explanation for why a setting has its value"});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.unsafe=ge.Boolean("--no-redacted",!1,{description:"Don't redact secrets (such as tokens) from the output"});this.name=ge.String()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),o=this.name.replace(/[.[].*$/,""),a=this.name.replace(/^[^.[]*/,"");if(typeof r.settings.get(o)>"u")throw new it(`Couldn't find a configuration settings named "${o}"`);let u=r.getSpecial(o,{hideSecrets:!this.unsafe,getNativePaths:!0}),A=je.convertMapsToIndexableObjects(u),p=a?(0,G0e.default)(A,a):A,h=await Nt.start({configuration:r,includeFooter:!1,json:this.json,stdout:this.context.stdout},async E=>{E.reportJson(p)});if(!this.json){if(typeof p=="string")return this.context.stdout.write(`${p}
+`),h.exitCode();x8.inspect.styles.name="cyan",this.context.stdout.write(`${(0,x8.inspect)(p,{depth:1/0,colors:r.get("enableColors"),compact:!1})}
+`)}return h.exitCode()}};Fh.paths=[["config","get"]],Fh.usage=nt.Usage({description:"read a configuration settings",details:`
+      This command will print a configuration setting.
+
+      Secrets (such as tokens) will be redacted from the output by default. If this behavior isn't desired, set the \`--no-redacted\` to get the untransformed value.
+    `,examples:[["Print a simple configuration setting","yarn config get yarnPath"],["Print a complex configuration setting","yarn config get packageExtensions"],["Print a nested field from the configuration",`yarn config get 'npmScopes["my-company"].npmRegistryServer'`],["Print a token from the configuration","yarn config get npmAuthToken --no-redacted"],["Print a configuration setting as JSON","yarn config get packageExtensions --json"]]});Ye();qt();var Rge=$e(F8()),Nge=$e(g2()),Lge=$e(T8()),R8=Be("util"),Th=class extends ut{constructor(){super(...arguments);this.json=ge.Boolean("--json",!1,{description:"Set complex configuration settings to JSON values"});this.home=ge.Boolean("-H,--home",!1,{description:"Update the home configuration instead of the project configuration"});this.name=ge.String();this.value=ge.String()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),o=()=>{if(!r.projectCwd)throw new it("This command must be run from within a project folder");return r.projectCwd},a=this.name.replace(/[.[].*$/,""),n=this.name.replace(/^[^.[]*\.?/,"");if(typeof r.settings.get(a)>"u")throw new it(`Couldn't find a configuration settings named "${a}"`);if(a==="enableStrictSettings")throw new it("This setting only affects the file it's in, and thus cannot be set from the CLI");let A=this.json?JSON.parse(this.value):this.value;await(this.home?C=>Ve.updateHomeConfiguration(C):C=>Ve.updateConfiguration(o(),C))(C=>{if(n){let T=(0,Rge.default)(C);return(0,Lge.default)(T,this.name,A),T}else return{...C,[a]:A}});let E=(await Ve.find(this.context.cwd,this.context.plugins)).getSpecial(a,{hideSecrets:!0,getNativePaths:!0}),I=je.convertMapsToIndexableObjects(E),v=n?(0,Nge.default)(I,n):I;return(await Nt.start({configuration:r,includeFooter:!1,stdout:this.context.stdout},async C=>{R8.inspect.styles.name="cyan",C.reportInfo(0,`Successfully set ${this.name} to ${(0,R8.inspect)(v,{depth:1/0,colors:r.get("enableColors"),compact:!1})}`)})).exitCode()}};Th.paths=[["config","set"]],Th.usage=nt.Usage({description:"change a configuration settings",details:`
+      This command will set a configuration setting.
+
+      When used without the \`--json\` flag, it can only set a simple configuration setting (a string, a number, or a boolean).
+
+      When used with the \`--json\` flag, it can set both simple and complex configuration settings, including Arrays and Objects.
+    `,examples:[["Set a simple configuration setting (a string, a number, or a boolean)","yarn config set initScope myScope"],["Set a simple configuration setting (a string, a number, or a boolean) using the `--json` flag",'yarn config set initScope --json \\"myScope\\"'],["Set a complex configuration setting (an Array) using the `--json` flag",`yarn config set unsafeHttpWhitelist --json '["*.example.com", "example.com"]'`],["Set a complex configuration setting (an Object) using the `--json` flag",`yarn config set packageExtensions --json '{ "@babel/parser@*": { "dependencies": { "@babel/types": "*" } } }'`],["Set a nested configuration setting",'yarn config set npmScopes.company.npmRegistryServer "https://npm.example.com"'],["Set a nested configuration setting using indexed access for non-simple keys",`yarn config set 'npmRegistries["//npm.example.com"].npmAuthToken' "ffffffff-ffff-ffff-ffff-ffffffffffff"`]]});Ye();qt();var Vge=$e(F8()),Kge=$e(_ge()),Jge=$e(L8()),Rh=class extends ut{constructor(){super(...arguments);this.home=ge.Boolean("-H,--home",!1,{description:"Update the home configuration instead of the project configuration"});this.name=ge.String()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),o=()=>{if(!r.projectCwd)throw new it("This command must be run from within a project folder");return r.projectCwd},a=this.name.replace(/[.[].*$/,""),n=this.name.replace(/^[^.[]*\.?/,"");if(typeof r.settings.get(a)>"u")throw new it(`Couldn't find a configuration settings named "${a}"`);let A=this.home?h=>Ve.updateHomeConfiguration(h):h=>Ve.updateConfiguration(o(),h);return(await Nt.start({configuration:r,includeFooter:!1,stdout:this.context.stdout},async h=>{let E=!1;await A(I=>{if(!(0,Kge.default)(I,this.name))return h.reportWarning(0,`Configuration doesn't contain setting ${this.name}; there is nothing to unset`),E=!0,I;let v=n?(0,Vge.default)(I):{...I};return(0,Jge.default)(v,this.name),v}),E||h.reportInfo(0,`Successfully unset ${this.name}`)})).exitCode()}};Rh.paths=[["config","unset"]],Rh.usage=nt.Usage({description:"unset a configuration setting",details:`
+      This command will unset a configuration setting.
+    `,examples:[["Unset a simple configuration setting","yarn config unset initScope"],["Unset a complex configuration setting","yarn config unset packageExtensions"],["Unset a nested configuration setting","yarn config unset npmScopes.company.npmRegistryServer"]]});Ye();Pt();qt();var hk=Be("util"),Nh=class extends ut{constructor(){super(...arguments);this.noDefaults=ge.Boolean("--no-defaults",!1,{description:"Omit the default values from the display"});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.verbose=ge.Boolean("-v,--verbose",{hidden:!0});this.why=ge.Boolean("--why",{hidden:!0});this.names=ge.Rest()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins,{strict:!1}),o=await NE({configuration:r,stdout:this.context.stdout,forceError:this.json},[{option:this.verbose,message:"The --verbose option is deprecated, the settings' descriptions are now always displayed"},{option:this.why,message:"The --why option is deprecated, the settings' sources are now always displayed"}]);if(o!==null)return o;let a=this.names.length>0?[...new Set(this.names)].sort():[...r.settings.keys()].sort(),n,u=await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout,includeFooter:!1},async A=>{if(r.invalid.size>0&&!this.json){for(let[p,h]of r.invalid)A.reportError(34,`Invalid configuration key "${p}" in ${h}`);A.reportSeparator()}if(this.json)for(let p of a){let h=r.settings.get(p);typeof h>"u"&&A.reportError(34,`No configuration key named "${p}"`);let E=r.getSpecial(p,{hideSecrets:!0,getNativePaths:!0}),I=r.sources.get(p)??"<default>",v=I&&I[0]!=="<"?ue.fromPortablePath(I):I;A.reportJson({key:p,effective:E,source:v,...h})}else{let p={breakLength:1/0,colors:r.get("enableColors"),maxArrayLength:2},h={},E={children:h};for(let I of a){if(this.noDefaults&&!r.sources.has(I))continue;let v=r.settings.get(I),b=r.sources.get(I)??"<default>",C=r.getSpecial(I,{hideSecrets:!0,getNativePaths:!0}),T={Description:{label:"Description",value:de.tuple(de.Type.MARKDOWN,{text:v.description,format:this.cli.format(),paragraphs:!1})},Source:{label:"Source",value:de.tuple(b[0]==="<"?de.Type.CODE:de.Type.PATH,b)}};h[I]={value:de.tuple(de.Type.CODE,I),children:T};let L=(U,J)=>{for(let[te,le]of J)if(le instanceof Map){let pe={};U[te]={children:pe},L(pe,le)}else U[te]={label:te,value:de.tuple(de.Type.NO_HINT,(0,hk.inspect)(le,p))}};C instanceof Map?L(T,C):T.Value={label:"Value",value:de.tuple(de.Type.NO_HINT,(0,hk.inspect)(C,p))}}a.length!==1&&(n=void 0),$s.emitTree(E,{configuration:r,json:this.json,stdout:this.context.stdout,separators:2})}});if(!this.json&&typeof n<"u"){let A=a[0],p=(0,hk.inspect)(r.getSpecial(A,{hideSecrets:!0,getNativePaths:!0}),{colors:r.get("enableColors")});this.context.stdout.write(`
+`),this.context.stdout.write(`${p}
+`)}return u.exitCode()}};Nh.paths=[["config"]],Nh.usage=nt.Usage({description:"display the current configuration",details:`
+      This command prints the current active configuration settings.
+    `,examples:[["Print the active configuration settings","$0 config"]]});Ye();qt();Za();var gk={};Kt(gk,{Strategy:()=>d2,acceptedStrategies:()=>j0t,dedupe:()=>M8});Ye();Ye();var zge=$e(Zo()),d2=(e=>(e.HIGHEST="highest",e))(d2||{}),j0t=new Set(Object.values(d2)),q0t={highest:async(t,e,{resolver:r,fetcher:o,resolveOptions:a,fetchOptions:n})=>{let u=new Map;for(let[p,h]of t.storedResolutions){let E=t.storedDescriptors.get(p);if(typeof E>"u")throw new Error(`Assertion failed: The descriptor (${p}) should have been registered`);je.getSetWithDefault(u,E.identHash).add(h)}let A=new Map(je.mapAndFilter(t.storedDescriptors.values(),p=>W.isVirtualDescriptor(p)?je.mapAndFilter.skip:[p.descriptorHash,je.makeDeferred()]));for(let p of t.storedDescriptors.values()){let h=A.get(p.descriptorHash);if(typeof h>"u")throw new Error(`Assertion failed: The descriptor (${p.descriptorHash}) should have been registered`);let E=t.storedResolutions.get(p.descriptorHash);if(typeof E>"u")throw new Error(`Assertion failed: The resolution (${p.descriptorHash}) should have been registered`);let I=t.originalPackages.get(E);if(typeof I>"u")throw new Error(`Assertion failed: The package (${E}) should have been registered`);Promise.resolve().then(async()=>{let v=r.getResolutionDependencies(p,a),b=Object.fromEntries(await je.allSettledSafe(Object.entries(v).map(async([te,le])=>{let pe=A.get(le.descriptorHash);if(typeof pe>"u")throw new Error(`Assertion failed: The descriptor (${le.descriptorHash}) should have been registered`);let Ae=await pe.promise;if(!Ae)throw new Error("Assertion failed: Expected the dependency to have been through the dedupe process itself");return[te,Ae.updatedPackage]})));if(e.length&&!zge.default.isMatch(W.stringifyIdent(p),e)||!r.shouldPersistResolution(I,a))return I;let C=u.get(p.identHash);if(typeof C>"u")throw new Error(`Assertion failed: The resolutions (${p.identHash}) should have been registered`);if(C.size===1)return I;let T=[...C].map(te=>{let le=t.originalPackages.get(te);if(typeof le>"u")throw new Error(`Assertion failed: The package (${te}) should have been registered`);return le}),L=await r.getSatisfying(p,b,T,a),U=L.locators?.[0];if(typeof U>"u"||!L.sorted)return I;let J=t.originalPackages.get(U.locatorHash);if(typeof J>"u")throw new Error(`Assertion failed: The package (${U.locatorHash}) should have been registered`);return J}).then(async v=>{let b=await t.preparePackage(v,{resolver:r,resolveOptions:a});h.resolve({descriptor:p,currentPackage:I,updatedPackage:v,resolvedPackage:b})}).catch(v=>{h.reject(v)})}return[...A.values()].map(p=>p.promise)}};async function M8(t,{strategy:e,patterns:r,cache:o,report:a}){let{configuration:n}=t,u=new Qi,A=n.makeResolver(),p=n.makeFetcher(),h={cache:o,checksums:t.storedChecksums,fetcher:p,project:t,report:u,cacheOptions:{skipIntegrityCheck:!0}},E={project:t,resolver:A,report:u,fetchOptions:h};return await a.startTimerPromise("Deduplication step",async()=>{let I=q0t[e],v=await I(t,r,{resolver:A,resolveOptions:E,fetcher:p,fetchOptions:h}),b=Xs.progressViaCounter(v.length);await a.reportProgress(b);let C=0;await Promise.all(v.map(U=>U.then(J=>{if(J===null||J.currentPackage.locatorHash===J.updatedPackage.locatorHash)return;C++;let{descriptor:te,currentPackage:le,updatedPackage:pe}=J;a.reportInfo(0,`${W.prettyDescriptor(n,te)} can be deduped from ${W.prettyLocator(n,le)} to ${W.prettyLocator(n,pe)}`),a.reportJson({descriptor:W.stringifyDescriptor(te),currentResolution:W.stringifyLocator(le),updatedResolution:W.stringifyLocator(pe)}),t.storedResolutions.set(te.descriptorHash,pe.locatorHash)}).finally(()=>b.tick())));let T;switch(C){case 0:T="No packages";break;case 1:T="One package";break;default:T=`${C} packages`}let L=de.pretty(n,e,de.Type.CODE);return a.reportInfo(0,`${T} can be deduped using the ${L} strategy`),C})}var Lh=class extends ut{constructor(){super(...arguments);this.strategy=ge.String("-s,--strategy","highest",{description:"The strategy to use when deduping dependencies",validator:Vs(d2)});this.check=ge.Boolean("-c,--check",!1,{description:"Exit with exit code 1 when duplicates are found, without persisting the dependency tree"});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.mode=ge.String("--mode",{description:"Change what artifacts installs generate",validator:Vs(pl)});this.patterns=ge.Rest()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o}=await St.find(r,this.context.cwd),a=await Lr.find(r);await o.restoreInstallState({restoreResolutions:!1});let n=0,u=await Nt.start({configuration:r,includeFooter:!1,stdout:this.context.stdout,json:this.json},async A=>{n=await M8(o,{strategy:this.strategy,patterns:this.patterns,cache:a,report:A})});return u.hasErrors()?u.exitCode():this.check?n?1:0:await o.installWithNewReport({json:this.json,stdout:this.context.stdout},{cache:a,mode:this.mode})}};Lh.paths=[["dedupe"]],Lh.usage=nt.Usage({description:"deduplicate dependencies with overlapping ranges",details:"\n      Duplicates are defined as descriptors with overlapping ranges being resolved and locked to different locators. They are a natural consequence of Yarn's deterministic installs, but they can sometimes pile up and unnecessarily increase the size of your project.\n\n      This command dedupes dependencies in the current project using different strategies (only one is implemented at the moment):\n\n      - `highest`: Reuses (where possible) the locators with the highest versions. This means that dependencies can only be upgraded, never downgraded. It's also guaranteed that it never takes more than a single pass to dedupe the entire dependency tree.\n\n      **Note:** Even though it never produces a wrong dependency tree, this command should be used with caution, as it modifies the dependency tree, which can sometimes cause problems when packages don't strictly follow semver recommendations. Because of this, it is recommended to also review the changes manually.\n\n      If set, the `-c,--check` flag will only report the found duplicates, without persisting the modified dependency tree. If changes are found, the command will exit with a non-zero exit code, making it suitable for CI purposes.\n\n      If the `--mode=<mode>` option is set, Yarn will change which artifacts are generated. The modes currently supported are:\n\n      - `skip-build` will not run the build scripts at all. Note that this is different from setting `enableScripts` to false because the latter will disable build scripts, and thus affect the content of the artifacts generated on disk, whereas the former will just disable the build step - but not the scripts themselves, which just won't run.\n\n      - `update-lockfile` will skip the link step altogether, and only fetch packages that are missing from the lockfile (or that have no associated checksums). This mode is typically used by tools like Renovate or Dependabot to keep a lockfile up-to-date without incurring the full install cost.\n\n      This command accepts glob patterns as arguments (if valid Idents and supported by [micromatch](https://github.com/micromatch/micromatch)). Make sure to escape the patterns, to prevent your own shell from trying to expand them.\n\n      ### In-depth explanation:\n\n      Yarn doesn't deduplicate dependencies by default, otherwise installs wouldn't be deterministic and the lockfile would be useless. What it actually does is that it tries to not duplicate dependencies in the first place.\n\n      **Example:** If `foo@^2.3.4` (a dependency of a dependency) has already been resolved to `foo@2.3.4`, running `yarn add foo@*`will cause Yarn to reuse `foo@2.3.4`, even if the latest `foo` is actually `foo@2.10.14`, thus preventing unnecessary duplication.\n\n      Duplication happens when Yarn can't unlock dependencies that have already been locked inside the lockfile.\n\n      **Example:** If `foo@^2.3.4` (a dependency of a dependency) has already been resolved to `foo@2.3.4`, running `yarn add foo@2.10.14` will cause Yarn to install `foo@2.10.14` because the existing resolution doesn't satisfy the range `2.10.14`. This behavior can lead to (sometimes) unwanted duplication, since now the lockfile contains 2 separate resolutions for the 2 `foo` descriptors, even though they have overlapping ranges, which means that the lockfile can be simplified so that both descriptors resolve to `foo@2.10.14`.\n    ",examples:[["Dedupe all packages","$0 dedupe"],["Dedupe all packages using a specific strategy","$0 dedupe --strategy highest"],["Dedupe a specific package","$0 dedupe lodash"],["Dedupe all packages with the `@babel/*` scope","$0 dedupe '@babel/*'"],["Check for duplicates (can be used as a CI step)","$0 dedupe --check"]]});Ye();qt();var Wd=class extends ut{async execute(){let{plugins:e}=await Ve.find(this.context.cwd,this.context.plugins),r=[];for(let u of e){let{commands:A}=u[1];if(A){let h=as.from(A).definitions();r.push([u[0],h])}}let o=this.cli.definitions(),a=(u,A)=>u.split(" ").slice(1).join()===A.split(" ").slice(1).join(),n=Xge()["@yarnpkg/builder"].bundles.standard;for(let u of r){let A=u[1];for(let p of A)o.find(h=>a(h.path,p.path)).plugin={name:u[0],isDefault:n.includes(u[0])}}this.context.stdout.write(`${JSON.stringify(o,null,2)}
+`)}};Wd.paths=[["--clipanion=definitions"]];var Vd=class extends ut{async execute(){this.context.stdout.write(this.cli.usage(null))}};Vd.paths=[["help"],["--help"],["-h"]];Ye();Pt();qt();var dC=class extends ut{constructor(){super(...arguments);this.leadingArgument=ge.String();this.args=ge.Proxy()}async execute(){if(this.leadingArgument.match(/[\\/]/)&&!W.tryParseIdent(this.leadingArgument)){let r=K.resolve(this.context.cwd,ue.toPortablePath(this.leadingArgument));return await this.cli.run(this.args,{cwd:r})}else return await this.cli.run(["run",this.leadingArgument,...this.args])}};Ye();var Kd=class extends ut{async execute(){this.context.stdout.write(`${tn||"<unknown>"}
+`)}};Kd.paths=[["-v"],["--version"]];Ye();Ye();qt();var Mh=class extends ut{constructor(){super(...arguments);this.commandName=ge.String();this.args=ge.Proxy()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,locator:a}=await St.find(r,this.context.cwd);return await o.restoreInstallState(),await un.executePackageShellcode(a,this.commandName,this.args,{cwd:this.context.cwd,stdin:this.context.stdin,stdout:this.context.stdout,stderr:this.context.stderr,project:o})}};Mh.paths=[["exec"]],Mh.usage=nt.Usage({description:"execute a shell script",details:`
+      This command simply executes a shell script within the context of the root directory of the active workspace using the portable shell.
+
+      It also makes sure to call it in a way that's compatible with the current project (for example, on PnP projects the environment will be setup in such a way that PnP will be correctly injected into the environment).
+    `,examples:[["Execute a single shell command","$0 exec echo Hello World"],["Execute a shell script",'$0 exec "tsc & babel src --out-dir lib"']]});Ye();qt();Za();var Oh=class extends ut{constructor(){super(...arguments);this.hash=ge.String({validator:aP(Ey(),[sI(/^p[0-9a-f]{5}$/)])})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o}=await St.find(r,this.context.cwd);return await o.restoreInstallState({restoreResolutions:!1}),await o.applyLightResolution(),await Y0t(this.hash,o,{stdout:this.context.stdout})}};Oh.paths=[["explain","peer-requirements"]],Oh.usage=nt.Usage({description:"explain a set of peer requirements",details:`
+      A set of peer requirements represents all peer requirements that a dependent must satisfy when providing a given peer request to a requester and its descendants.
+
+      When the hash argument is specified, this command prints a detailed explanation of all requirements of the set corresponding to the hash and whether they're satisfied or not.
+
+      When used without arguments, this command lists all sets of peer requirements and the corresponding hash that can be used to get detailed information about a given set.
+
+      **Note:** A hash is a six-letter p-prefixed code that can be obtained from peer dependency warnings or from the list of all peer requirements (\`yarn explain peer-requirements\`).
+    `,examples:[["Explain the corresponding set of peer requirements for a hash","$0 explain peer-requirements p1a4ed"],["List all sets of peer requirements","$0 explain peer-requirements"]]});async function Y0t(t,e,r){let o=e.peerWarnings.find(n=>n.hash===t);if(typeof o>"u")throw new Error(`No peerDependency requirements found for hash: "${t}"`);return(await Nt.start({configuration:e.configuration,stdout:r.stdout,includeFooter:!1,includePrefix:!1},async n=>{let u=de.mark(e.configuration);switch(o.type){case 2:{n.reportInfo(0,`We have a problem with ${de.pretty(e.configuration,o.requested,de.Type.IDENT)}, which is provided with version ${W.prettyReference(e.configuration,o.version)}.`),n.reportInfo(0,"It is needed by the following direct dependencies of workspaces in your project:"),n.reportSeparator();for(let h of o.requesters.values()){let E=e.storedPackages.get(h.locatorHash);if(!E)throw new Error("Assertion failed: Expected the package to be registered");let I=E?.peerDependencies.get(o.requested.identHash);if(!I)throw new Error("Assertion failed: Expected the package to list the peer dependency");let v=kr.satisfiesWithPrereleases(o.version,I.range)?u.Check:u.Cross;n.reportInfo(null,`  ${v} ${W.prettyLocator(e.configuration,h)} (via ${W.prettyRange(e.configuration,I.range)})`)}let A=[...o.links.values()].filter(h=>!o.requesters.has(h.locatorHash));if(A.length>0){n.reportSeparator(),n.reportInfo(0,`However, those packages themselves have more dependencies listing ${W.prettyIdent(e.configuration,o.requested)} as peer dependency:`),n.reportSeparator();for(let h of A){let E=e.storedPackages.get(h.locatorHash);if(!E)throw new Error("Assertion failed: Expected the package to be registered");let I=E?.peerDependencies.get(o.requested.identHash);if(!I)throw new Error("Assertion failed: Expected the package to list the peer dependency");let v=kr.satisfiesWithPrereleases(o.version,I.range)?u.Check:u.Cross;n.reportInfo(null,`  ${v} ${W.prettyLocator(e.configuration,h)} (via ${W.prettyRange(e.configuration,I.range)})`)}}let p=Array.from(o.links.values(),h=>{let E=e.storedPackages.get(h.locatorHash);if(typeof E>"u")throw new Error("Assertion failed: Expected the package to be registered");let I=E.peerDependencies.get(o.requested.identHash);if(typeof I>"u")throw new Error("Assertion failed: Expected the ident to be registered");return I.range});if(p.length>1){let h=kr.simplifyRanges(p);n.reportSeparator(),h===null?(n.reportInfo(0,"Unfortunately, put together, we found no single range that can satisfy all those peer requirements."),n.reportInfo(0,`Your best option may be to try to upgrade some dependencies with ${de.pretty(e.configuration,"yarn up",de.Type.CODE)}, or silence the warning via ${de.pretty(e.configuration,"logFilters",de.Type.CODE)}.`)):n.reportInfo(0,`Put together, the final range we computed is ${de.pretty(e.configuration,h,de.Type.RANGE)}`)}}break;default:n.reportInfo(0,`The 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default it only will set the `packageManager` field at the root of your project, but if the referenced release cannot be represented this way, if you already have `yarnPath` configured, or if you set the `--yarn-path` command line flag, then the release will also be downloaded from the Yarn GitHub repository, stored inside your project, and referenced via the `yarnPath` settings from your project `.yarnrc.yml` file.\n\n      A very good use case for this command is to enforce the version of Yarn used by any single member of your team inside the same project - by doing this you ensure that you have control over Yarn upgrades and downgrades (including on your deployment servers), and get rid of most of the headaches related to someone using a slightly different version and getting different behavior.\n\n      The version specifier can be:\n\n      - a tag:\n        - `latest` / `berry` / `stable` -> the most recent stable berry (`>=2.0.0`) release\n        - `canary` -> the most recent canary (release candidate) berry (`>=2.0.0`) release\n        - `classic` -> the most recent classic (`^0.x || ^1.x`) release\n\n      - a semver range (e.g. `2.x`) -> the most recent version satisfying the range (limited to berry releases)\n\n      - a semver version (e.g. `2.4.1`, `1.22.1`)\n\n      - a local file referenced through either a relative or absolute path\n\n      - `self` -> the version used to invoke the command\n    ",examples:[["Download the latest release from the Yarn repository","$0 set version latest"],["Download the latest canary release from the Yarn repository","$0 set version canary"],["Download the latest classic release from the Yarn repository","$0 set version classic"],["Download the most recent Yarn 3 build","$0 set version 3.x"],["Download a specific Yarn 2 build","$0 set version 2.0.0-rc.30"],["Switch back to a specific Yarn 1 release","$0 set version 1.22.1"],["Use a release from the local filesystem","$0 set version ./yarn.cjs"],["Use a release from a 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+${e}`)})}let A=t.projectCwd??t.startingCwd,p=K.resolve(A,".yarn/releases"),h=K.resolve(p,`yarn-${e}.cjs`),E=K.relative(t.startingCwd,h),I=je.isTaggedYarnVersion(e),v=t.get("yarnPath"),b=!I,C=b||!!v||!!a;if(a===!1){if(b)throw new zt(0,"You explicitly opted out of yarnPath usage in your command line, but the version you specified cannot be represented by Corepack");C=!1}else!C&&!process.env.COREPACK_ROOT&&(o.reportWarning(0,`You don't seem to have ${de.applyHyperlink(t,"Corepack","https://nodejs.org/api/corepack.html")} enabled; we'll have to rely on ${de.applyHyperlink(t,"yarnPath","https://yarnpkg.com/configuration/yarnrc#yarnPath")} instead`),C=!0);if(C){let te=await u();o.reportInfo(0,`Saving the new release in ${de.pretty(t,E,"magenta")}`),await oe.removePromise(K.dirname(h)),await oe.mkdirPromise(K.dirname(h),{recursive:!0}),await oe.writeFilePromise(h,te,{mode:493}),await Ve.updateConfiguration(A,{yarnPath:K.relative(A,h)})}else await oe.removePromise(K.dirname(h)),await Ve.updateConfiguration(A,{yarnPath:Ve.deleteProperty});let T=await Mt.tryFind(A)||new Mt;T.packageManager=`yarn@${I?e:await m2(t,"stable")}`;let L={};T.exportTo(L);let U=K.join(A,Mt.fileName),J=`${JSON.stringify(L,null,T.indent)}
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+
+You can help us by editing this page on GitHub \u{1F642}:
+${de.jsonOrPretty(this.json,r,de.tuple(de.Type.URL,"https://github.com/yarnpkg/berry/blob/master/packages/gatsby/content/advanced/error-codes.md"))}
+`;this.json?this.context.stdout.write(`${JSON.stringify({code:this.code,name:o,details:p})}
+`):this.context.stdout.write(`${n}
+
+${p}
+`)}else{let o={children:je.mapAndFilter(Object.entries(wr),([a,n])=>Number.isNaN(Number(a))?je.mapAndFilter.skip:{label:Wu(Number(a)),value:de.tuple(de.Type.CODE,n)})};$s.emitTree(o,{configuration:r,stdout:this.context.stdout,json:this.json})}}};_h.paths=[["explain"]],_h.usage=nt.Usage({description:"explain an error code",details:`
+      When the code argument is specified, this command prints its name and its details.
+
+      When used without arguments, this command lists all error codes and their names.
+    `,examples:[["Explain an error code","$0 explain YN0006"],["List all error codes","$0 explain"]]});Ye();Pt();qt();var ede=$e(Zo()),Hh=class extends ut{constructor(){super(...arguments);this.all=ge.Boolean("-A,--all",!1,{description:"Print versions of a package from the whole project"});this.recursive=ge.Boolean("-R,--recursive",!1,{description:"Print information for all packages, including transitive dependencies"});this.extra=ge.Array("-X,--extra",[],{description:"An array of requests of extra data provided by plugins"});this.cache=ge.Boolean("--cache",!1,{description:"Print information about the cache entry of a package (path, size, checksum)"});this.dependents=ge.Boolean("--dependents",!1,{description:"Print all dependents for each matching package"});this.manifest=ge.Boolean("--manifest",!1,{description:"Print data obtained by looking at the package archive (license, homepage, ...)"});this.nameOnly=ge.Boolean("--name-only",!1,{description:"Only print the name for the matching 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ae<"u"&&(Ae.Instances={label:"Instances",value:de.tuple(de.Type.NUMBER,ae.length)}),Ae.Version={label:"Version",value:de.tuple(de.Type.NO_HINT,le.version)};let we=(g,Ee)=>{let De={};if(Ae[g]=De,Array.isArray(Ee))De.children=Ee.map(ce=>({value:ce}));else{let ce={};De.children=ce;for(let[ne,ee]of Object.entries(Ee))typeof ee>"u"||(ce[ne]={label:ne,value:ee})}};if(!pe){for(let g of te)await g(le,u,we);await r.triggerHook(g=>g.fetchPackageInfo,le,u,we)}le.bin.size>0&&!pe&&we("Exported Binaries",[...le.bin.keys()].map(g=>de.tuple(de.Type.PATH,g)));let Pe=b.get(le.locatorHash);typeof Pe<"u"&&Pe.length>0&&we("Dependents",Pe.map(g=>de.tuple(de.Type.LOCATOR,g))),le.dependencies.size>0&&!pe&&we("Dependencies",[...le.dependencies.values()].map(g=>{let Ee=o.storedResolutions.get(g.descriptorHash),De=typeof Ee<"u"?o.storedPackages.get(Ee)??null:null;return de.tuple(de.Type.RESOLUTION,{descriptor:g,locator:De})})),le.peerDependencies.size>0&&pe&&we("Peer 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Adding the `-R,--recursive` flag will also report transitive dependencies.\n\n      Some fields will be hidden by default in order to keep the output readable, but can be selectively displayed by using additional options (`--dependents`, `--manifest`, `--virtuals`, ...) described in the option descriptions.\n\n      Note that this command will only print the information directly related to the selected packages - if you wish to know why the package is there in the first place, use `yarn why` which will do just that (it also provides a `-R,--recursive` flag that may be of some help).\n    ",examples:[["Show information about Lodash","$0 info lodash"]]});Ye();Pt();Nl();var dk=$e(ed());qt();var U8=$e(zn());Za();var J0t=[{selector:t=>t===-1,name:"nodeLinker",value:"node-modules"},{selector:t=>t!==-1&&t<8,name:"enableGlobalCache",value:!1},{selector:t=>t!==-1&&t<8,name:"compressionLevel",value:"mixed"}],jh=class extends ut{constructor(){super(...arguments);this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.immutable=ge.Boolean("--immutable",{description:"Abort with an error exit code if the lockfile was to be modified"});this.immutableCache=ge.Boolean("--immutable-cache",{description:"Abort with an error exit code if the cache folder was to be modified"});this.refreshLockfile=ge.Boolean("--refresh-lockfile",{description:"Refresh the package metadata stored in the lockfile"});this.checkCache=ge.Boolean("--check-cache",{description:"Always refetch the packages and ensure that their checksums are consistent"});this.checkResolutions=ge.Boolean("--check-resolutions",{description:"Validates that the package resolutions are coherent"});this.inlineBuilds=ge.Boolean("--inline-builds",{description:"Verbosely print the output of the build steps of dependencies"});this.mode=ge.String("--mode",{description:"Change what artifacts installs generate",validator:Vs(pl)});this.cacheFolder=ge.String("--cache-folder",{hidden:!0});this.frozenLockfile=ge.Boolean("--frozen-lockfile",{hidden:!0});this.ignoreEngines=ge.Boolean("--ignore-engines",{hidden:!0});this.nonInteractive=ge.Boolean("--non-interactive",{hidden:!0});this.preferOffline=ge.Boolean("--prefer-offline",{hidden:!0});this.production=ge.Boolean("--production",{hidden:!0});this.registry=ge.String("--registry",{hidden:!0});this.silent=ge.Boolean("--silent",{hidden:!0});this.networkTimeout=ge.String("--network-timeout",{hidden:!0})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins);typeof this.inlineBuilds<"u"&&r.useWithSource("<cli>",{enableInlineBuilds:this.inlineBuilds},r.startingCwd,{overwrite:!0});let o=!!process.env.FUNCTION_TARGET||!!process.env.GOOGLE_RUNTIME,a=await NE({configuration:r,stdout:this.context.stdout},[{option:this.ignoreEngines,message:"The --ignore-engines option is deprecated; engine checking isn't a core feature anymore",error:!dk.default.VERCEL},{option:this.registry,message:"The --registry option is deprecated; prefer setting npmRegistryServer in your .yarnrc.yml file"},{option:this.preferOffline,message:"The --prefer-offline flag is deprecated; use the --cached flag with 'yarn add' instead",error:!dk.default.VERCEL},{option:this.production,message:"The --production option is deprecated on 'install'; use 'yarn workspaces focus' instead",error:!0},{option:this.nonInteractive,message:"The --non-interactive option is deprecated",error:!o},{option:this.frozenLockfile,message:"The --frozen-lockfile option is deprecated; use --immutable and/or --immutable-cache instead",callback:()=>this.immutable=this.frozenLockfile},{option:this.cacheFolder,message:"The cache-folder option has been deprecated; use rc settings instead",error:!dk.default.NETLIFY}]);if(a!==null)return a;let n=this.mode==="update-lockfile";if(n&&(this.immutable||this.immutableCache))throw new it(`${de.pretty(r,"--immutable",de.Type.CODE)} and ${de.pretty(r,"--immutable-cache",de.Type.CODE)} cannot be used with ${de.pretty(r,"--mode=update-lockfile",de.Type.CODE)}`);let u=(this.immutable??r.get("enableImmutableInstalls"))&&!n,A=this.immutableCache&&!n;if(r.projectCwd!==null){let T=await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout,includeFooter:!1},async L=>{let U=!1;await Z0t(r,u)&&(L.reportInfo(48,"Automatically removed core plugins that are now builtins \u{1F44D}"),U=!0),await X0t(r,u)&&(L.reportInfo(48,"Automatically fixed merge conflicts \u{1F44D}"),U=!0),U&&L.reportSeparator()});if(T.hasErrors())return T.exitCode()}if(r.projectCwd!==null){let T=await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout,includeFooter:!1},async L=>{if(Ve.telemetry?.isNew)Ve.telemetry.commitTips(),L.reportInfo(65,"Yarn will periodically gather anonymous telemetry: https://yarnpkg.com/advanced/telemetry"),L.reportInfo(65,`Run ${de.pretty(r,"yarn config set --home enableTelemetry 0",de.Type.CODE)} to disable`),L.reportSeparator();else if(Ve.telemetry?.shouldShowTips){let U=await rn.get("https://repo.yarnpkg.com/tags",{configuration:r,jsonResponse:!0}).catch(()=>null);if(U!==null){let J=null;if(tn!==null){let le=U8.default.prerelease(tn)?"canary":"stable",pe=U.latest[le];U8.default.gt(pe,tn)&&(J=[le,pe])}if(J)Ve.telemetry.commitTips(),L.reportInfo(88,`${de.applyStyle(r,`A new ${J[0]} version of Yarn is available:`,de.Style.BOLD)} ${W.prettyReference(r,J[1])}!`),L.reportInfo(88,`Upgrade now by running ${de.pretty(r,`yarn set version ${J[1]}`,de.Type.CODE)}`),L.reportSeparator();else{let te=Ve.telemetry.selectTip(U.tips);te&&(L.reportInfo(89,de.pretty(r,te.message,de.Type.MARKDOWN_INLINE)),te.url&&L.reportInfo(89,`Learn more at ${te.url}`),L.reportSeparator())}}}});if(T.hasErrors())return T.exitCode()}let{project:p,workspace:h}=await St.find(r,this.context.cwd),E=p.lockfileLastVersion;if(E!==null){let T=await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout,includeFooter:!1},async L=>{let U={};for(let J of J0t)J.selector(E)&&typeof r.sources.get(J.name)>"u"&&(r.use("<compat>",{[J.name]:J.value},p.cwd,{overwrite:!0}),U[J.name]=J.value);Object.keys(U).length>0&&(await Ve.updateConfiguration(p.cwd,U),L.reportInfo(87,"Migrated your project to the latest Yarn version \u{1F680}"),L.reportSeparator())});if(T.hasErrors())return T.exitCode()}let I=await Lr.find(r,{immutable:A,check:this.checkCache});if(!h)throw new rr(p.cwd,this.context.cwd);await p.restoreInstallState({restoreResolutions:!1});let v=r.get("enableHardenedMode");v&&typeof r.sources.get("enableHardenedMode")>"u"&&await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout,includeFooter:!1},async T=>{T.reportWarning(0,"Yarn detected that the current workflow is executed from a public pull request. For safety the hardened mode has been enabled."),T.reportWarning(0,`It will prevent malicious lockfile manipulations, in exchange for a slower install time. You can opt-out if necessary; check our ${de.applyHyperlink(r,"documentation","https://yarnpkg.com/features/security#hardened-mode")} for more details.`),T.reportSeparator()}),(this.refreshLockfile??v)&&(p.lockfileNeedsRefresh=!0);let b=this.checkResolutions??v;return(await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout,forceSectionAlignment:!0,includeLogs:!0,includeVersion:!0},async T=>{await p.install({cache:I,report:T,immutable:u,checkResolutions:b,mode:this.mode})})).exitCode()}};jh.paths=[["install"],nt.Default],jh.usage=nt.Usage({description:"install the project dependencies",details:"\n      This command sets up your project if needed. The installation is split into four different steps that each have their own characteristics:\n\n      - **Resolution:** First the package manager will resolve your dependencies. The exact way a dependency version is privileged over another isn't standardized outside of the regular semver guarantees. If a package doesn't resolve to what you would expect, check that all dependencies are correctly declared (also check our website for more information: ).\n\n      - **Fetch:** Then we download all the dependencies if needed, and make sure that they're all stored within our cache (check the value of `cacheFolder` in `yarn config` to see where the cache files are stored).\n\n      - **Link:** Then we send the dependency tree information to internal plugins tasked with writing them on the disk in some form (for example by generating the .pnp.cjs file you might know).\n\n      - **Build:** Once the dependency tree has been written on the disk, the package manager will now be free to run the build scripts for all packages that might need it, in a topological order compatible with the way they depend on one another. See https://yarnpkg.com/advanced/lifecycle-scripts for detail.\n\n      Note that running this command is not part of the recommended workflow. Yarn supports zero-installs, which means that as long as you store your cache and your .pnp.cjs file inside your repository, everything will work without requiring any install right after cloning your repository or switching branches.\n\n      If the `--immutable` option is set (defaults to true on CI), Yarn will abort with an error exit code if the lockfile was to be modified (other paths can be added using the `immutablePatterns` configuration setting). For backward compatibility we offer an alias under the name of `--frozen-lockfile`, but it will be removed in a later release.\n\n      If the `--immutable-cache` option is set, Yarn will abort with an error exit code if the cache folder was to be modified (either because files would be added, or because they'd be removed).\n\n      If the `--refresh-lockfile` option is set, Yarn will keep the same resolution for the packages currently in the lockfile but will refresh their metadata. If used together with `--immutable`, it can validate that the lockfile information are consistent. This flag is enabled by default when Yarn detects it runs within a pull request context.\n\n      If the `--check-cache` option is set, Yarn will always refetch the packages and will ensure that their checksum matches what's 1/ described in the lockfile 2/ inside the existing cache files (if present). This is recommended as part of your CI workflow if you're both following the Zero-Installs model and accepting PRs from third-parties, as they'd otherwise have the ability to alter the checked-in packages before submitting them.\n\n      If the `--inline-builds` option is set, Yarn will verbosely print the output of the build steps of your dependencies (instead of writing them into individual files). This is likely useful mostly for debug purposes only when using Docker-like environments.\n\n      If the `--mode=<mode>` option is set, Yarn will change which artifacts are generated. The modes currently supported are:\n\n      - `skip-build` will not run the build scripts at all. Note that this is different from setting `enableScripts` to false because the latter will disable build scripts, and thus affect the content of the artifacts generated on disk, whereas the former will just disable the build step - but not the scripts themselves, which just won't run.\n\n      - `update-lockfile` will skip the link step altogether, and only fetch packages that are missing from the lockfile (or that have no associated checksums). This mode is typically used by tools like Renovate or Dependabot to keep a lockfile up-to-date without incurring the full install cost.\n    ",examples:[["Install the project","$0 install"],["Validate a project when using Zero-Installs","$0 install --immutable --immutable-cache"],["Validate a project when using Zero-Installs (slightly safer if you accept external PRs)","$0 install --immutable --immutable-cache --check-cache"]]});var z0t="<<<<<<<";async function X0t(t,e){if(!t.projectCwd)return!1;let r=K.join(t.projectCwd,dr.lockfile);if(!await oe.existsPromise(r)||!(await oe.readFilePromise(r,"utf8")).includes(z0t))return!1;if(e)throw new zt(47,"Cannot autofix a lockfile when running an immutable install");let a=await Ur.execvp("git",["rev-parse","MERGE_HEAD","HEAD"],{cwd:t.projectCwd});if(a.code!==0&&(a=await Ur.execvp("git",["rev-parse","REBASE_HEAD","HEAD"],{cwd:t.projectCwd})),a.code!==0&&(a=await Ur.execvp("git",["rev-parse","CHERRY_PICK_HEAD","HEAD"],{cwd:t.projectCwd})),a.code!==0)throw new zt(83,"Git returned an error when trying to find the commits pertaining to the conflict");let n=await Promise.all(a.stdout.trim().split(/\n/).map(async A=>{let p=await Ur.execvp("git",["show",`${A}:./${dr.lockfile}`],{cwd:t.projectCwd});if(p.code!==0)throw new zt(83,`Git returned an error when trying to access the lockfile content in ${A}`);try{return Vi(p.stdout)}catch{throw new zt(46,"A variant of the conflicting lockfile failed to parse")}}));n=n.filter(A=>!!A.__metadata);for(let A of n){if(A.__metadata.version<7)for(let p of Object.keys(A)){if(p==="__metadata")continue;let h=W.parseDescriptor(p,!0),E=t.normalizeDependency(h),I=W.stringifyDescriptor(E);I!==p&&(A[I]=A[p],delete A[p])}for(let p of Object.keys(A)){if(p==="__metadata")continue;let h=A[p].checksum;typeof h=="string"&&h.includes("/")||(A[p].checksum=`${A.__metadata.cacheKey}/${h}`)}}let u=Object.assign({},...n);u.__metadata.version=`${Math.min(...n.map(A=>parseInt(A.__metadata.version??0)))}`,u.__metadata.cacheKey="merged";for(let[A,p]of Object.entries(u))typeof p=="string"&&delete u[A];return await oe.changeFilePromise(r,Ba(u),{automaticNewlines:!0}),!0}async function Z0t(t,e){if(!t.projectCwd)return!1;let r=[],o=K.join(t.projectCwd,".yarn/plugins/@yarnpkg");return await Ve.updateConfiguration(t.projectCwd,{plugins:n=>{if(!Array.isArray(n))return n;let u=n.filter(A=>{if(!A.path)return!0;let p=K.resolve(t.projectCwd,A.path),h=B1.has(A.spec)&&K.contains(o,p);return h&&r.push(p),!h});return u.length===0?Ve.deleteProperty:u.length===n.length?n:u}},{immutable:e})?(await Promise.all(r.map(async n=>{await oe.removePromise(n)})),!0):!1}Ye();Pt();qt();var qh=class extends ut{constructor(){super(...arguments);this.all=ge.Boolean("-A,--all",!1,{description:"Link all workspaces belonging to the target projects to the current one"});this.private=ge.Boolean("-p,--private",!1,{description:"Also link private workspaces belonging to the target projects to the current one"});this.relative=ge.Boolean("-r,--relative",!1,{description:"Link workspaces using relative paths instead of absolute paths"});this.destinations=ge.Rest()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);await o.restoreInstallState({restoreResolutions:!1});let u=o.topLevelWorkspace,A=[];for(let p of this.destinations){let h=K.resolve(this.context.cwd,ue.toPortablePath(p)),E=await Ve.find(h,this.context.plugins,{useRc:!1,strict:!1}),{project:I,workspace:v}=await St.find(E,h);if(o.cwd===I.cwd)throw new it(`Invalid destination '${p}'; Can't link the project to itself`);if(!v)throw new rr(I.cwd,h);if(this.all){let b=!1;for(let C of I.workspaces)C.manifest.name&&(!C.manifest.private||this.private)&&(A.push(C),b=!0);if(!b)throw new it(`No workspace found to be linked in the target project: ${p}`)}else{if(!v.manifest.name)throw new it(`The target workspace at '${p}' doesn't have a name and thus cannot be linked`);if(v.manifest.private&&!this.private)throw new it(`The target workspace at '${p}' is marked private - use the --private flag to link it anyway`);A.push(v)}}for(let p of A){let h=W.stringifyIdent(p.anchoredLocator),E=this.relative?K.relative(o.cwd,p.cwd):p.cwd;u.manifest.resolutions.push({pattern:{descriptor:{fullName:h}},reference:`portal:${E}`})}return await o.installWithNewReport({stdout:this.context.stdout},{cache:n})}};qh.paths=[["link"]],qh.usage=nt.Usage({description:"connect the local project to another one",details:"\n      This command will set a new `resolutions` field in the project-level manifest and point it to the workspace at the specified location (even if part of another project).\n    ",examples:[["Register one or more remote workspaces for use in the current project","$0 link ~/ts-loader ~/jest"],["Register all workspaces from a remote project for use in the current project","$0 link ~/jest --all"]]});qt();var Gh=class extends ut{constructor(){super(...arguments);this.args=ge.Proxy()}async execute(){return this.cli.run(["exec","node",...this.args])}};Gh.paths=[["node"]],Gh.usage=nt.Usage({description:"run node with the hook already setup",details:`
+      This command simply runs Node. It also makes sure to call it in a way that's compatible with the current project (for example, on PnP projects the environment will be setup in such a way that PnP will be correctly injected into the environment).
+
+      The Node process will use the exact same version of Node as the one used to run Yarn itself, which might be a good way to ensure that your commands always use a consistent Node version.
+    `,examples:[["Run a Node script","$0 node ./my-script.js"]]});Ye();qt();var Yh=class extends ut{constructor(){super(...arguments);this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),o=await Ve.findRcFiles(this.context.cwd);return(await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout},async n=>{for(let u of o)if(!!u.data?.plugins)for(let A of u.data.plugins){if(!A.checksum||!A.spec.match(/^https?:/))continue;let p=await rn.get(A.spec,{configuration:r}),h=wn.makeHash(p);if(A.checksum===h)continue;let E=de.pretty(r,A.path,de.Type.PATH),I=de.pretty(r,A.spec,de.Type.URL),v=`${E} is different from the file provided by ${I}`;n.reportJson({...A,newChecksum:h}),n.reportError(0,v)}})).exitCode()}};Yh.paths=[["plugin","check"]],Yh.usage=nt.Usage({category:"Plugin-related commands",description:"find all third-party plugins that differ from their own spec",details:`
+      Check only the plugins from https.
+
+      If this command detects any plugin differences in the CI environment, it will throw an error.
+    `,examples:[["find all third-party plugins that differ from their own spec","$0 plugin check"]]});Ye();Ye();Pt();qt();var ode=Be("os");Ye();Pt();qt();var tde=Be("os");Ye();Nl();qt();var $0t="https://raw.githubusercontent.com/yarnpkg/berry/master/plugins.yml";async function Jd(t,e){let r=await rn.get($0t,{configuration:t}),o=Vi(r.toString());return Object.fromEntries(Object.entries(o).filter(([a,n])=>!e||kr.satisfiesWithPrereleases(e,n.range??"<4.0.0-rc.1")))}var Wh=class extends ut{constructor(){super(...arguments);this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins);return(await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout},async a=>{let n=await Jd(r,tn);for(let[u,{experimental:A,...p}]of Object.entries(n)){let h=u;A&&(h+=" [experimental]"),a.reportJson({name:u,experimental:A,...p}),a.reportInfo(null,h)}})).exitCode()}};Wh.paths=[["plugin","list"]],Wh.usage=nt.Usage({category:"Plugin-related commands",description:"list the available official plugins",details:"\n      This command prints the plugins available directly from the Yarn repository. Only those plugins can be referenced by name in `yarn plugin import`.\n    ",examples:[["List the official plugins","$0 plugin list"]]});var egt=/^[0-9]+$/,tgt=process.platform==="win32";function rde(t){return egt.test(t)?`pull/${t}/head`:t}var rgt=({repository:t,branch:e},r)=>[["git","init",ue.fromPortablePath(r)],["git","remote","add","origin",t],["git","fetch","origin","--depth=1",rde(e)],["git","reset","--hard","FETCH_HEAD"]],ngt=({branch:t})=>[["git","fetch","origin","--depth=1",rde(t),"--force"],["git","reset","--hard","FETCH_HEAD"],["git","clean","-dfx","-e","packages/yarnpkg-cli/bundles"]],igt=({plugins:t,noMinify:e},r,o)=>[["yarn","build:cli",...new Array().concat(...t.map(a=>["--plugin",K.resolve(o,a)])),...e?["--no-minify"]:[],"|"],[tgt?"move":"mv","packages/yarnpkg-cli/bundles/yarn.js",ue.fromPortablePath(r),"|"]],Vh=class extends ut{constructor(){super(...arguments);this.installPath=ge.String("--path",{description:"The path where the repository should be cloned to"});this.repository=ge.String("--repository","https://github.com/yarnpkg/berry.git",{description:"The repository that should be cloned"});this.branch=ge.String("--branch","master",{description:"The branch of the repository that should be cloned"});this.plugins=ge.Array("--plugin",[],{description:"An array of additional plugins that should be included in the bundle"});this.dryRun=ge.Boolean("-n,--dry-run",!1,{description:"If set, the bundle will be built but not added to the project"});this.noMinify=ge.Boolean("--no-minify",!1,{description:"Build a bundle for development (debugging) - non-minified and non-mangled"});this.force=ge.Boolean("-f,--force",!1,{description:"Always clone the repository instead of trying to fetch the latest commits"});this.skipPlugins=ge.Boolean("--skip-plugins",!1,{description:"Skip updating the contrib plugins"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o}=await St.find(r,this.context.cwd),a=typeof this.installPath<"u"?K.resolve(this.context.cwd,ue.toPortablePath(this.installPath)):K.resolve(ue.toPortablePath((0,tde.tmpdir)()),"yarnpkg-sources",wn.makeHash(this.repository).slice(0,6));return(await Nt.start({configuration:r,stdout:this.context.stdout},async u=>{await _8(this,{configuration:r,report:u,target:a}),u.reportSeparator(),u.reportInfo(0,"Building a fresh bundle"),u.reportSeparator();let A=await Ur.execvp("git",["rev-parse","--short","HEAD"],{cwd:a,strict:!0}),p=K.join(a,`packages/yarnpkg-cli/bundles/yarn-${A.stdout.trim()}.js`);oe.existsSync(p)||(await y2(igt(this,p,a),{configuration:r,context:this.context,target:a}),u.reportSeparator());let h=await oe.readFilePromise(p);if(!this.dryRun){let{bundleVersion:E}=await O8(r,null,async()=>h,{report:u});this.skipPlugins||await sgt(this,E,{project:o,report:u,target:a})}})).exitCode()}};Vh.paths=[["set","version","from","sources"]],Vh.usage=nt.Usage({description:"build Yarn from master",details:`
+      This command will clone the Yarn repository into a temporary folder, then build it. The resulting bundle will then be copied into the local project.
+
+      By default, it also updates all contrib plugins to the same commit the bundle is built from. This behavior can be disabled by using the \`--skip-plugins\` flag.
+    `,examples:[["Build Yarn from master","$0 set version from sources"]]});async function y2(t,{configuration:e,context:r,target:o}){for(let[a,...n]of t){let u=n[n.length-1]==="|";if(u&&n.pop(),u)await Ur.pipevp(a,n,{cwd:o,stdin:r.stdin,stdout:r.stdout,stderr:r.stderr,strict:!0});else{r.stdout.write(`${de.pretty(e,`  $ ${[a,...n].join(" ")}`,"grey")}
+`);try{await Ur.execvp(a,n,{cwd:o,strict:!0})}catch(A){throw r.stdout.write(A.stdout||A.stack),A}}}}async function _8(t,{configuration:e,report:r,target:o}){let a=!1;if(!t.force&&oe.existsSync(K.join(o,".git"))){r.reportInfo(0,"Fetching the latest commits"),r.reportSeparator();try{await y2(ngt(t),{configuration:e,context:t.context,target:o}),a=!0}catch{r.reportSeparator(),r.reportWarning(0,"Repository update failed; we'll try to regenerate it")}}a||(r.reportInfo(0,"Cloning the remote repository"),r.reportSeparator(),await oe.removePromise(o),await oe.mkdirPromise(o,{recursive:!0}),await y2(rgt(t,o),{configuration:e,context:t.context,target:o}))}async function sgt(t,e,{project:r,report:o,target:a}){let n=await Jd(r.configuration,e),u=new Set(Object.keys(n));for(let A of r.configuration.plugins.keys())!u.has(A)||await H8(A,t,{project:r,report:o,target:a})}Ye();Ye();Pt();qt();var nde=$e(zn()),ide=Be("url"),sde=Be("vm");var Kh=class extends ut{constructor(){super(...arguments);this.name=ge.String();this.checksum=ge.Boolean("--checksum",!0,{description:"Whether to care if this plugin is modified"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins);return(await Nt.start({configuration:r,stdout:this.context.stdout},async a=>{let{project:n}=await St.find(r,this.context.cwd),u,A;if(this.name.match(/^\.{0,2}[\\/]/)||ue.isAbsolute(this.name)){let p=K.resolve(this.context.cwd,ue.toPortablePath(this.name));a.reportInfo(0,`Reading ${de.pretty(r,p,de.Type.PATH)}`),u=K.relative(n.cwd,p),A=await oe.readFilePromise(p)}else{let p;if(this.name.match(/^https?:/)){try{new ide.URL(this.name)}catch{throw new zt(52,`Plugin specifier "${this.name}" is neither a plugin name nor a valid url`)}u=this.name,p=this.name}else{let h=W.parseLocator(this.name.replace(/^((@yarnpkg\/)?plugin-)?/,"@yarnpkg/plugin-"));if(h.reference!=="unknown"&&!nde.default.valid(h.reference))throw new zt(0,"Official plugins only accept strict version references. Use an explicit URL if you wish to download them from another location.");let E=W.stringifyIdent(h),I=await Jd(r,tn);if(!Object.hasOwn(I,E)){let v=`Couldn't find a plugin named ${W.prettyIdent(r,h)} on the remote registry.
+`;throw r.plugins.has(E)?v+=`A plugin named ${W.prettyIdent(r,h)} is already installed; possibly attempting to import a built-in plugin.`:v+=`Note that only the plugins referenced on our website (${de.pretty(r,"https://github.com/yarnpkg/berry/blob/master/plugins.yml",de.Type.URL)}) can be referenced by their name; any other plugin will have to be referenced through its public url (for example ${de.pretty(r,"https://github.com/yarnpkg/berry/raw/master/packages/plugin-typescript/bin/%40yarnpkg/plugin-typescript.js",de.Type.URL)}).`,new zt(51,v)}u=E,p=I[E].url,h.reference!=="unknown"?p=p.replace(/\/master\//,`/${E}/${h.reference}/`):tn!==null&&(p=p.replace(/\/master\//,`/@yarnpkg/cli/${tn}/`))}a.reportInfo(0,`Downloading ${de.pretty(r,p,"green")}`),A=await rn.get(p,{configuration:r})}await j8(u,A,{checksum:this.checksum,project:n,report:a})})).exitCode()}};Kh.paths=[["plugin","import"]],Kh.usage=nt.Usage({category:"Plugin-related commands",description:"download a plugin",details:`
+      This command downloads the specified plugin from its remote location and updates the configuration to reference it in further CLI invocations.
+
+      Three types of plugin references are accepted:
+
+      - If the plugin is stored within the Yarn repository, it can be referenced by name.
+      - Third-party plugins can be referenced directly through their public urls.
+      - Local plugins can be referenced by their path on the disk.
+
+      If the \`--no-checksum\` option is set, Yarn will no longer care if the plugin is modified.
+
+      Plugins cannot be downloaded from the npm registry, and aren't allowed to have dependencies (they need to be bundled into a single file, possibly thanks to the \`@yarnpkg/builder\` package).
+    `,examples:[['Download and activate the "@yarnpkg/plugin-exec" plugin',"$0 plugin import @yarnpkg/plugin-exec"],['Download and activate the "@yarnpkg/plugin-exec" plugin (shorthand)',"$0 plugin import exec"],["Download and activate a community plugin","$0 plugin import https://example.org/path/to/plugin.js"],["Activate a local plugin","$0 plugin import ./path/to/plugin.js"]]});async function j8(t,e,{checksum:r=!0,project:o,report:a}){let{configuration:n}=o,u={},A={exports:u};(0,sde.runInNewContext)(e.toString(),{module:A,exports:u});let h=`.yarn/plugins/${A.exports.name}.cjs`,E=K.resolve(o.cwd,h);a.reportInfo(0,`Saving the new plugin in ${de.pretty(n,h,"magenta")}`),await oe.mkdirPromise(K.dirname(E),{recursive:!0}),await oe.writeFilePromise(E,e);let I={path:h,spec:t};r&&(I.checksum=wn.makeHash(e)),await Ve.addPlugin(o.cwd,[I])}var ogt=({pluginName:t,noMinify:e},r)=>[["yarn",`build:${t}`,...e?["--no-minify"]:[],"|"]],Jh=class extends ut{constructor(){super(...arguments);this.installPath=ge.String("--path",{description:"The path where the repository should be cloned to"});this.repository=ge.String("--repository","https://github.com/yarnpkg/berry.git",{description:"The repository that should be cloned"});this.branch=ge.String("--branch","master",{description:"The branch of the repository that should be cloned"});this.noMinify=ge.Boolean("--no-minify",!1,{description:"Build a plugin for development (debugging) - non-minified and non-mangled"});this.force=ge.Boolean("-f,--force",!1,{description:"Always clone the repository instead of trying to fetch the latest commits"});this.name=ge.String()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),o=typeof this.installPath<"u"?K.resolve(this.context.cwd,ue.toPortablePath(this.installPath)):K.resolve(ue.toPortablePath((0,ode.tmpdir)()),"yarnpkg-sources",wn.makeHash(this.repository).slice(0,6));return(await Nt.start({configuration:r,stdout:this.context.stdout},async n=>{let{project:u}=await St.find(r,this.context.cwd),A=W.parseIdent(this.name.replace(/^((@yarnpkg\/)?plugin-)?/,"@yarnpkg/plugin-")),p=W.stringifyIdent(A),h=await Jd(r,tn);if(!Object.hasOwn(h,p))throw new zt(51,`Couldn't find a plugin named "${p}" on the remote registry. Note that only the plugins referenced on our website (https://github.com/yarnpkg/berry/blob/master/plugins.yml) can be built and imported from sources.`);let E=p;await _8(this,{configuration:r,report:n,target:o}),await H8(E,this,{project:u,report:n,target:o})})).exitCode()}};Jh.paths=[["plugin","import","from","sources"]],Jh.usage=nt.Usage({category:"Plugin-related commands",description:"build a plugin from sources",details:`
+      This command clones the Yarn repository into a temporary folder, builds the specified contrib plugin and updates the configuration to reference it in further CLI invocations.
+
+      The plugins can be referenced by their short name if sourced from the official Yarn repository.
+    `,examples:[['Build and activate the "@yarnpkg/plugin-exec" plugin',"$0 plugin import from sources @yarnpkg/plugin-exec"],['Build and activate the "@yarnpkg/plugin-exec" plugin (shorthand)',"$0 plugin import from sources exec"]]});async function H8(t,{context:e,noMinify:r},{project:o,report:a,target:n}){let u=t.replace(/@yarnpkg\//,""),{configuration:A}=o;a.reportSeparator(),a.reportInfo(0,`Building a fresh ${u}`),a.reportSeparator(),await y2(ogt({pluginName:u,noMinify:r},n),{configuration:A,context:e,target:n}),a.reportSeparator();let p=K.resolve(n,`packages/${u}/bundles/${t}.js`),h=await oe.readFilePromise(p);await j8(t,h,{project:o,report:a})}Ye();Pt();qt();var zh=class extends ut{constructor(){super(...arguments);this.name=ge.String()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o}=await St.find(r,this.context.cwd);return(await Nt.start({configuration:r,stdout:this.context.stdout},async n=>{let u=this.name,A=W.parseIdent(u);if(!r.plugins.has(u))throw new it(`${W.prettyIdent(r,A)} isn't referenced by the current configuration`);let p=`.yarn/plugins/${u}.cjs`,h=K.resolve(o.cwd,p);oe.existsSync(h)&&(n.reportInfo(0,`Removing ${de.pretty(r,p,de.Type.PATH)}...`),await oe.removePromise(h)),n.reportInfo(0,"Updating the configuration..."),await Ve.updateConfiguration(o.cwd,{plugins:E=>{if(!Array.isArray(E))return E;let I=E.filter(v=>v.path!==p);return I.length===0?Ve.deleteProperty:I.length===E.length?E:I}})})).exitCode()}};zh.paths=[["plugin","remove"]],zh.usage=nt.Usage({category:"Plugin-related commands",description:"remove a plugin",details:`
+      This command deletes the specified plugin from the .yarn/plugins folder and removes it from the configuration.
+
+      **Note:** The plugins have to be referenced by their name property, which can be obtained using the \`yarn plugin runtime\` command. Shorthands are not allowed.
+   `,examples:[["Remove a plugin imported from the Yarn repository","$0 plugin remove @yarnpkg/plugin-typescript"],["Remove a plugin imported from a local file","$0 plugin remove my-local-plugin"]]});Ye();qt();var Xh=class extends ut{constructor(){super(...arguments);this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins);return(await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout},async a=>{for(let n of r.plugins.keys()){let u=this.context.plugins.plugins.has(n),A=n;u&&(A+=" [builtin]"),a.reportJson({name:n,builtin:u}),a.reportInfo(null,`${A}`)}})).exitCode()}};Xh.paths=[["plugin","runtime"]],Xh.usage=nt.Usage({category:"Plugin-related commands",description:"list the active plugins",details:`
+      This command prints the currently active plugins. Will be displayed both builtin plugins and external plugins.
+    `,examples:[["List the currently active plugins","$0 plugin runtime"]]});Ye();Ye();qt();var Zh=class extends ut{constructor(){super(...arguments);this.idents=ge.Rest()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);let u=new Set;for(let A of this.idents)u.add(W.parseIdent(A).identHash);if(await o.restoreInstallState({restoreResolutions:!1}),await o.resolveEverything({cache:n,report:new Qi}),u.size>0)for(let A of o.storedPackages.values())u.has(A.identHash)&&(o.storedBuildState.delete(A.locatorHash),o.skippedBuilds.delete(A.locatorHash));else o.storedBuildState.clear(),o.skippedBuilds.clear();return await o.installWithNewReport({stdout:this.context.stdout,quiet:this.context.quiet},{cache:n})}};Zh.paths=[["rebuild"]],Zh.usage=nt.Usage({description:"rebuild the project's native packages",details:`
+      This command will automatically cause Yarn to forget about previous compilations of the given packages and to run them again.
+
+      Note that while Yarn forgets the compilation, the previous artifacts aren't erased from the filesystem and may affect the next builds (in good or bad). To avoid this, you may remove the .yarn/unplugged folder, or any other relevant location where packages might have been stored (Yarn may offer a way to do that automatically in the future).
+
+      By default all packages will be rebuilt, but you can filter the list by specifying the names of the packages you want to clear from memory.
+    `,examples:[["Rebuild all packages","$0 rebuild"],["Rebuild fsevents only","$0 rebuild fsevents"]]});Ye();Ye();Ye();qt();var q8=$e(Zo());Za();var $h=class extends ut{constructor(){super(...arguments);this.all=ge.Boolean("-A,--all",!1,{description:"Apply the operation to all workspaces from the current project"});this.mode=ge.String("--mode",{description:"Change what artifacts installs generate",validator:Vs(pl)});this.patterns=ge.Rest()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);await o.restoreInstallState({restoreResolutions:!1});let u=this.all?o.workspaces:[a],A=["dependencies","devDependencies","peerDependencies"],p=[],h=!1,E=[];for(let C of this.patterns){let T=!1,L=W.parseIdent(C);for(let U of u){let J=[...U.manifest.peerDependenciesMeta.keys()];for(let te of(0,q8.default)(J,C))U.manifest.peerDependenciesMeta.delete(te),h=!0,T=!0;for(let te of A){let le=U.manifest.getForScope(te),pe=[...le.values()].map(Ae=>W.stringifyIdent(Ae));for(let Ae of(0,q8.default)(pe,W.stringifyIdent(L))){let{identHash:ye}=W.parseIdent(Ae),ae=le.get(ye);if(typeof ae>"u")throw new Error("Assertion failed: Expected the descriptor to be registered");U.manifest[te].delete(ye),E.push([U,te,ae]),h=!0,T=!0}}}T||p.push(C)}let I=p.length>1?"Patterns":"Pattern",v=p.length>1?"don't":"doesn't",b=this.all?"any":"this";if(p.length>0)throw new it(`${I} ${de.prettyList(r,p,de.Type.CODE)} ${v} match any packages referenced by ${b} workspace`);return h?(await r.triggerMultipleHooks(C=>C.afterWorkspaceDependencyRemoval,E),await o.installWithNewReport({stdout:this.context.stdout},{cache:n,mode:this.mode})):0}};$h.paths=[["remove"]],$h.usage=nt.Usage({description:"remove dependencies from the project",details:`
+      This command will remove the packages matching the specified patterns from the current workspace.
+
+      If the \`--mode=<mode>\` option is set, Yarn will change which artifacts are generated. The modes currently supported are:
+
+      - \`skip-build\` will not run the build scripts at all. Note that this is different from setting \`enableScripts\` to false because the latter will disable build scripts, and thus affect the content of the artifacts generated on disk, whereas the former will just disable the build step - but not the scripts themselves, which just won't run.
+
+      - \`update-lockfile\` will skip the link step altogether, and only fetch packages that are missing from the lockfile (or that have no associated checksums). This mode is typically used by tools like Renovate or Dependabot to keep a lockfile up-to-date without incurring the full install cost.
+
+      This command accepts glob patterns as arguments (if valid Idents and supported by [micromatch](https://github.com/micromatch/micromatch)). Make sure to escape the patterns, to prevent your own shell from trying to expand them.
+    `,examples:[["Remove a dependency from the current project","$0 remove lodash"],["Remove a dependency from all workspaces at once","$0 remove lodash --all"],["Remove all dependencies starting with `eslint-`","$0 remove 'eslint-*'"],["Remove all dependencies with the `@babel` scope","$0 remove '@babel/*'"],["Remove all dependencies matching `react-dom` or `react-helmet`","$0 remove 'react-{dom,helmet}'"]]});Ye();Ye();var ade=Be("util"),zd=class extends ut{async execute(){let e=await Ve.find(this.context.cwd,this.context.plugins),{project:r,workspace:o}=await St.find(e,this.context.cwd);if(!o)throw new rr(r.cwd,this.context.cwd);return(await Nt.start({configuration:e,stdout:this.context.stdout},async n=>{let u=o.manifest.scripts,A=je.sortMap(u.keys(),E=>E),p={breakLength:1/0,colors:e.get("enableColors"),maxArrayLength:2},h=A.reduce((E,I)=>Math.max(E,I.length),0);for(let[E,I]of u.entries())n.reportInfo(null,`${E.padEnd(h," ")}   ${(0,ade.inspect)(I,p)}`)})).exitCode()}};zd.paths=[["run"]];Ye();Ye();qt();var e0=class extends ut{constructor(){super(...arguments);this.inspect=ge.String("--inspect",!1,{tolerateBoolean:!0,description:"Forwarded to the underlying Node process when executing a binary"});this.inspectBrk=ge.String("--inspect-brk",!1,{tolerateBoolean:!0,description:"Forwarded to the underlying Node process when executing a binary"});this.topLevel=ge.Boolean("-T,--top-level",!1,{description:"Check the root workspace for scripts and/or binaries instead of the current one"});this.binariesOnly=ge.Boolean("-B,--binaries-only",!1,{description:"Ignore any user defined scripts and only check for binaries"});this.require=ge.String("--require",{description:"Forwarded to the underlying Node process when executing a binary"});this.silent=ge.Boolean("--silent",{hidden:!0});this.scriptName=ge.String();this.args=ge.Proxy()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a,locator:n}=await St.find(r,this.context.cwd);await o.restoreInstallState();let u=this.topLevel?o.topLevelWorkspace.anchoredLocator:n;if(!this.binariesOnly&&await un.hasPackageScript(u,this.scriptName,{project:o}))return await un.executePackageScript(u,this.scriptName,this.args,{project:o,stdin:this.context.stdin,stdout:this.context.stdout,stderr:this.context.stderr});let A=await un.getPackageAccessibleBinaries(u,{project:o});if(A.get(this.scriptName)){let h=[];return this.inspect&&(typeof this.inspect=="string"?h.push(`--inspect=${this.inspect}`):h.push("--inspect")),this.inspectBrk&&(typeof this.inspectBrk=="string"?h.push(`--inspect-brk=${this.inspectBrk}`):h.push("--inspect-brk")),this.require&&h.push(`--require=${this.require}`),await un.executePackageAccessibleBinary(u,this.scriptName,this.args,{cwd:this.context.cwd,project:o,stdin:this.context.stdin,stdout:this.context.stdout,stderr:this.context.stderr,nodeArgs:h,packageAccessibleBinaries:A})}if(!this.topLevel&&!this.binariesOnly&&a&&this.scriptName.includes(":")){let E=(await Promise.all(o.workspaces.map(async I=>I.manifest.scripts.has(this.scriptName)?I:null))).filter(I=>I!==null);if(E.length===1)return await un.executeWorkspaceScript(E[0],this.scriptName,this.args,{stdin:this.context.stdin,stdout:this.context.stdout,stderr:this.context.stderr})}if(this.topLevel)throw this.scriptName==="node-gyp"?new it(`Couldn't find a script name "${this.scriptName}" in the top-level (used by ${W.prettyLocator(r,n)}). This typically happens because some package depends on "node-gyp" to build itself, but didn't list it in their dependencies. To fix that, please run "yarn add node-gyp" into your top-level workspace. You also can open an issue on the repository of the specified package to suggest them to use an optional peer dependency.`):new it(`Couldn't find a script name "${this.scriptName}" in the top-level (used by ${W.prettyLocator(r,n)}).`);{if(this.scriptName==="global")throw new it("The 'yarn global' commands have been removed in 2.x - consider using 'yarn dlx' or a third-party plugin instead");let h=[this.scriptName].concat(this.args);for(let[E,I]of uC)for(let v of I)if(h.length>=v.length&&JSON.stringify(h.slice(0,v.length))===JSON.stringify(v))throw new it(`Couldn't find a script named "${this.scriptName}", but a matching command can be found in the ${E} plugin. You can install it with "yarn plugin import ${E}".`);throw new it(`Couldn't find a script named "${this.scriptName}".`)}}};e0.paths=[["run"]],e0.usage=nt.Usage({description:"run a script defined in the package.json",details:`
+      This command will run a tool. The exact tool that will be executed will depend on the current state of your workspace:
+
+      - If the \`scripts\` field from your local package.json contains a matching script name, its definition will get executed.
+
+      - Otherwise, if one of the local workspace's dependencies exposes a binary with a matching name, this binary will get executed.
+
+      - Otherwise, if the specified name contains a colon character and if one of the workspaces in the project contains exactly one script with a matching name, then this script will get executed.
+
+      Whatever happens, the cwd of the spawned process will be the workspace that declares the script (which makes it possible to call commands cross-workspaces using the third syntax).
+    `,examples:[["Run the tests from the local workspace","$0 run test"],['Same thing, but without the "run" keyword',"$0 test"],["Inspect Webpack while running","$0 run --inspect-brk webpack"]]});Ye();Ye();qt();var t0=class extends ut{constructor(){super(...arguments);this.descriptor=ge.String();this.resolution=ge.String()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(await o.restoreInstallState({restoreResolutions:!1}),!a)throw new rr(o.cwd,this.context.cwd);let u=W.parseDescriptor(this.descriptor,!0),A=W.makeDescriptor(u,this.resolution);return o.storedDescriptors.set(u.descriptorHash,u),o.storedDescriptors.set(A.descriptorHash,A),o.resolutionAliases.set(u.descriptorHash,A.descriptorHash),await o.installWithNewReport({stdout:this.context.stdout},{cache:n})}};t0.paths=[["set","resolution"]],t0.usage=nt.Usage({description:"enforce a package resolution",details:'\n      This command updates the resolution table so that `descriptor` is resolved by `resolution`.\n\n      Note that by default this command only affect the current resolution table - meaning that this "manual override" will disappear if you remove the lockfile, or if the package disappear from the table. If you wish to make the enforced resolution persist whatever happens, edit the `resolutions` field in your top-level manifest.\n\n      Note that no attempt is made at validating that `resolution` is a valid resolution entry for `descriptor`.\n    ',examples:[["Force all instances of lodash@npm:^1.2.3 to resolve to 1.5.0","$0 set resolution lodash@npm:^1.2.3 1.5.0"]]});Ye();Pt();qt();var lde=$e(Zo()),r0=class extends ut{constructor(){super(...arguments);this.all=ge.Boolean("-A,--all",!1,{description:"Unlink all workspaces belonging to the target project from the current one"});this.leadingArguments=ge.Rest()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);let u=o.topLevelWorkspace,A=new Set;if(this.leadingArguments.length===0&&this.all)for(let{pattern:p,reference:h}of u.manifest.resolutions)h.startsWith("portal:")&&A.add(p.descriptor.fullName);if(this.leadingArguments.length>0)for(let p of this.leadingArguments){let h=K.resolve(this.context.cwd,ue.toPortablePath(p));if(je.isPathLike(p)){let E=await Ve.find(h,this.context.plugins,{useRc:!1,strict:!1}),{project:I,workspace:v}=await St.find(E,h);if(!v)throw new rr(I.cwd,h);if(this.all){for(let b of I.workspaces)b.manifest.name&&A.add(W.stringifyIdent(b.anchoredLocator));if(A.size===0)throw new it("No workspace found to be unlinked in the target project")}else{if(!v.manifest.name)throw new it("The target workspace doesn't have a name and thus cannot be unlinked");A.add(W.stringifyIdent(v.anchoredLocator))}}else{let E=[...u.manifest.resolutions.map(({pattern:I})=>I.descriptor.fullName)];for(let I of(0,lde.default)(E,p))A.add(I)}}return u.manifest.resolutions=u.manifest.resolutions.filter(({pattern:p})=>!A.has(p.descriptor.fullName)),await o.installWithNewReport({stdout:this.context.stdout,quiet:this.context.quiet},{cache:n})}};r0.paths=[["unlink"]],r0.usage=nt.Usage({description:"disconnect the local project from another one",details:`
+      This command will remove any resolutions in the project-level manifest that would have been added via a yarn link with similar arguments.
+    `,examples:[["Unregister a remote workspace in the current project","$0 unlink ~/ts-loader"],["Unregister all workspaces from a remote project in the current project","$0 unlink ~/jest --all"],["Unregister all previously linked workspaces","$0 unlink --all"],["Unregister all workspaces matching a glob","$0 unlink '@babel/*' 'pkg-{a,b}'"]]});Ye();Ye();Ye();qt();var cde=$e(A2()),G8=$e(Zo());Za();var Kf=class extends ut{constructor(){super(...arguments);this.interactive=ge.Boolean("-i,--interactive",{description:"Offer various choices, depending on the detected upgrade paths"});this.fixed=ge.Boolean("-F,--fixed",!1,{description:"Store dependency tags as-is instead of resolving them"});this.exact=ge.Boolean("-E,--exact",!1,{description:"Don't use any semver modifier on the resolved range"});this.tilde=ge.Boolean("-T,--tilde",!1,{description:"Use the `~` semver modifier on the resolved range"});this.caret=ge.Boolean("-C,--caret",!1,{description:"Use the `^` semver modifier on the resolved range"});this.recursive=ge.Boolean("-R,--recursive",!1,{description:"Resolve again ALL resolutions for those packages"});this.mode=ge.String("--mode",{description:"Change what artifacts installs generate",validator:Vs(pl)});this.patterns=ge.Rest()}async execute(){return this.recursive?await this.executeUpRecursive():await this.executeUpClassic()}async executeUpRecursive(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);await o.restoreInstallState({restoreResolutions:!1});let u=[...o.storedDescriptors.values()],A=u.map(E=>W.stringifyIdent(E)),p=new Set;for(let E of this.patterns){if(W.parseDescriptor(E).range!=="unknown")throw new it("Ranges aren't allowed when using --recursive");for(let I of(0,G8.default)(A,E)){let v=W.parseIdent(I);p.add(v.identHash)}}let h=u.filter(E=>p.has(E.identHash));for(let E of h)o.storedDescriptors.delete(E.descriptorHash),o.storedResolutions.delete(E.descriptorHash);return await o.installWithNewReport({stdout:this.context.stdout},{cache:n,mode:this.mode})}async executeUpClassic(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);await o.restoreInstallState({restoreResolutions:!1});let u=this.fixed,A=this.interactive??r.get("preferInteractive"),p=p2(this,o),h=A?["keep","reuse","project","latest"]:["project","latest"],E=[],I=[];for(let L of this.patterns){let U=!1,J=W.parseDescriptor(L),te=W.stringifyIdent(J);for(let le of o.workspaces)for(let pe of["dependencies","devDependencies"]){let ye=[...le.manifest.getForScope(pe).values()].map(we=>W.stringifyIdent(we)),ae=te==="*"?ye:(0,G8.default)(ye,te);for(let we of ae){let Pe=W.parseIdent(we),g=le.manifest[pe].get(Pe.identHash);if(typeof g>"u")throw new Error("Assertion failed: Expected the descriptor to be registered");let Ee=W.makeDescriptor(Pe,J.range);E.push(Promise.resolve().then(async()=>[le,pe,g,await h2(Ee,{project:o,workspace:le,cache:n,target:pe,fixed:u,modifier:p,strategies:h})])),U=!0}}U||I.push(L)}if(I.length>1)throw new it(`Patterns ${de.prettyList(r,I,de.Type.CODE)} don't match any packages referenced by any workspace`);if(I.length>0)throw new it(`Pattern ${de.prettyList(r,I,de.Type.CODE)} doesn't match any packages referenced by any workspace`);let v=await Promise.all(E),b=await AA.start({configuration:r,stdout:this.context.stdout,suggestInstall:!1},async L=>{for(let[,,U,{suggestions:J,rejections:te}]of v){let le=J.filter(pe=>pe.descriptor!==null);if(le.length===0){let[pe]=te;if(typeof pe>"u")throw new Error("Assertion failed: Expected an error to have been set");let Ae=this.cli.error(pe);o.configuration.get("enableNetwork")?L.reportError(27,`${W.prettyDescriptor(r,U)} can't be resolved to a satisfying range
+
+${Ae}`):L.reportError(27,`${W.prettyDescriptor(r,U)} can't be resolved to a satisfying range (note: network resolution has been disabled)
+
+${Ae}`)}else le.length>1&&!A&&L.reportError(27,`${W.prettyDescriptor(r,U)} has multiple possible upgrade strategies; use -i to disambiguate manually`)}});if(b.hasErrors())return b.exitCode();let C=!1,T=[];for(let[L,U,,{suggestions:J}]of v){let te,le=J.filter(ae=>ae.descriptor!==null),pe=le[0].descriptor,Ae=le.every(ae=>W.areDescriptorsEqual(ae.descriptor,pe));le.length===1||Ae?te=pe:(C=!0,{answer:te}=await(0,cde.prompt)({type:"select",name:"answer",message:`Which range do you want to use in ${W.prettyWorkspace(r,L)} \u276F ${U}?`,choices:J.map(({descriptor:ae,name:we,reason:Pe})=>ae?{name:we,hint:Pe,descriptor:ae}:{name:we,hint:Pe,disabled:!0}),onCancel:()=>process.exit(130),result(ae){return this.find(ae,"descriptor")},stdin:this.context.stdin,stdout:this.context.stdout}));let ye=L.manifest[U].get(te.identHash);if(typeof ye>"u")throw new Error("Assertion failed: This descriptor should have a matching entry");if(ye.descriptorHash!==te.descriptorHash)L.manifest[U].set(te.identHash,te),T.push([L,U,ye,te]);else{let ae=r.makeResolver(),we={project:o,resolver:ae},Pe=r.normalizeDependency(ye),g=ae.bindDescriptor(Pe,L.anchoredLocator,we);o.forgetResolution(g)}}return await r.triggerMultipleHooks(L=>L.afterWorkspaceDependencyReplacement,T),C&&this.context.stdout.write(`
+`),await o.installWithNewReport({stdout:this.context.stdout},{cache:n,mode:this.mode})}};Kf.paths=[["up"]],Kf.usage=nt.Usage({description:"upgrade dependencies across the project",details:"\n      This command upgrades the packages matching the list of specified patterns to their latest available version across the whole project (regardless of whether they're part of `dependencies` or `devDependencies` - `peerDependencies` won't be affected). This is a project-wide command: all workspaces will be upgraded in the process.\n\n      If `-R,--recursive` is set the command will change behavior and no other switch will be allowed. When operating under this mode `yarn up` will force all ranges matching the selected packages to be resolved again (often to the highest available versions) before being stored in the lockfile. It however won't touch your manifests anymore, so depending on your needs you might want to run both `yarn up` and `yarn up -R` to cover all bases.\n\n      If `-i,--interactive` is set (or if the `preferInteractive` settings is toggled on) the command will offer various choices, depending on the detected upgrade paths. Some upgrades require this flag in order to resolve ambiguities.\n\n      The, `-C,--caret`, `-E,--exact` and  `-T,--tilde` options have the same meaning as in the `add` command (they change the modifier used when the range is missing or a tag, and are ignored when the range is explicitly set).\n\n      If the `--mode=<mode>` option is set, Yarn will change which artifacts are generated. The modes currently supported are:\n\n      - `skip-build` will not run the build scripts at all. Note that this is different from setting `enableScripts` to false because the latter will disable build scripts, and thus affect the content of the artifacts generated on disk, whereas the former will just disable the build step - but not the scripts themselves, which just won't run.\n\n      - `update-lockfile` will skip the link step altogether, and only fetch packages that are missing from the lockfile (or that have no associated checksums). This mode is typically used by tools like Renovate or Dependabot to keep a lockfile up-to-date without incurring the full install cost.\n\n      Generally you can see `yarn up` as a counterpart to what was `yarn upgrade --latest` in Yarn 1 (ie it ignores the ranges previously listed in your manifests), but unlike `yarn upgrade` which only upgraded dependencies in the current workspace, `yarn up` will upgrade all workspaces at the same time.\n\n      This command accepts glob patterns as arguments (if valid Descriptors and supported by [micromatch](https://github.com/micromatch/micromatch)). Make sure to escape the patterns, to prevent your own shell from trying to expand them.\n\n      **Note:** The ranges have to be static, only the package scopes and names can contain glob patterns.\n    ",examples:[["Upgrade all instances of lodash to the latest release","$0 up lodash"],["Upgrade all instances of lodash to the latest release, but ask confirmation for each","$0 up lodash -i"],["Upgrade all instances of lodash to 1.2.3","$0 up lodash@1.2.3"],["Upgrade all instances of packages with the `@babel` scope to the latest release","$0 up '@babel/*'"],["Upgrade all instances of packages containing the word `jest` to the latest release","$0 up '*jest*'"],["Upgrade all instances of packages with the `@babel` scope to 7.0.0","$0 up '@babel/*@7.0.0'"]]}),Kf.schema=[lI("recursive",Gu.Forbids,["interactive","exact","tilde","caret"],{ignore:[void 0,!1]})];Ye();Ye();Ye();qt();var n0=class extends ut{constructor(){super(...arguments);this.recursive=ge.Boolean("-R,--recursive",!1,{description:"List, for each workspace, what are all the paths that lead to the dependency"});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.peers=ge.Boolean("--peers",!1,{description:"Also print the peer dependencies that match the specified name"});this.package=ge.String()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd);if(!a)throw new rr(o.cwd,this.context.cwd);await o.restoreInstallState();let n=W.parseIdent(this.package).identHash,u=this.recursive?lgt(o,n,{configuration:r,peers:this.peers}):agt(o,n,{configuration:r,peers:this.peers});$s.emitTree(u,{configuration:r,stdout:this.context.stdout,json:this.json,separators:1})}};n0.paths=[["why"]],n0.usage=nt.Usage({description:"display the reason why a package is needed",details:`
+      This command prints the exact reasons why a package appears in the dependency tree.
+
+      If \`-R,--recursive\` is set, the listing will go in depth and will list, for each workspaces, what are all the paths that lead to the dependency. Note that the display is somewhat optimized in that it will not print the package listing twice for a single package, so if you see a leaf named "Foo" when looking for "Bar", it means that "Foo" already got printed higher in the tree.
+    `,examples:[["Explain why lodash is used in your project","$0 why lodash"]]});function agt(t,e,{configuration:r,peers:o}){let a=je.sortMap(t.storedPackages.values(),A=>W.stringifyLocator(A)),n={},u={children:n};for(let A of a){let p={};for(let E of A.dependencies.values()){if(!o&&A.peerDependencies.has(E.identHash))continue;let I=t.storedResolutions.get(E.descriptorHash);if(!I)throw new Error("Assertion failed: The resolution should have been registered");let v=t.storedPackages.get(I);if(!v)throw new Error("Assertion failed: The package should have been registered");if(v.identHash!==e)continue;{let C=W.stringifyLocator(A);n[C]={value:[A,de.Type.LOCATOR],children:p}}let b=W.stringifyLocator(v);p[b]={value:[{descriptor:E,locator:v},de.Type.DEPENDENT]}}}return u}function lgt(t,e,{configuration:r,peers:o}){let a=je.sortMap(t.workspaces,v=>W.stringifyLocator(v.anchoredLocator)),n=new Set,u=new Set,A=v=>{if(n.has(v.locatorHash))return 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Did you mean any of the following:
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sH>"u"&&(sH=Be("zlib").brotliDecompressSync(Buffer.from("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","base64")).toString()),sH}var Mde=new Map([[W.makeIdent(null,"fsevents").identHash,Rde],[W.makeIdent(null,"resolve").identHash,Nde],[W.makeIdent(null,"typescript").identHash,Lde]]),Fgt={hooks:{registerPackageExtensions:async(t,e)=>{for(let[r,o]of rH)e(W.parseDescriptor(r,!0),o)},getBuiltinPatch:async(t,e)=>{let r="compat/";if(!e.startsWith(r))return;let o=W.parseIdent(e.slice(r.length)),a=Mde.get(o.identHash)?.();return typeof a<"u"?a:null},reduceDependency:async(t,e,r,o)=>typeof Mde.get(t.identHash)>"u"?t:W.makeDescriptor(t,W.makeRange({protocol:"patch:",source:W.stringifyDescriptor(t),selector:`optional!builtin<compat/${W.stringifyIdent(t)}>`,params:null}))}},Tgt=Fgt;var BH={};Kt(BH,{ConstraintsCheckCommand:()=>p0,ConstraintsQueryCommand:()=>A0,ConstraintsSourceCommand:()=>f0,default:()=>odt});Ye();Ye();B2();var wC=class{constructor(e){this.project=e}createEnvironment(){let e=new CC(["cwd","ident"]),r=new CC(["workspace","type","ident"]),o=new CC(["ident"]),a={manifestUpdates:new Map,reportedErrors:new Map},n=new Map,u=new Map;for(let A of this.project.storedPackages.values()){let p=Array.from(A.peerDependencies.values(),h=>[W.stringifyIdent(h),h.range]);n.set(A.locatorHash,{workspace:null,ident:W.stringifyIdent(A),version:A.version,dependencies:new Map,peerDependencies:new Map(p.filter(([h])=>A.peerDependenciesMeta.get(h)?.optional!==!0)),optionalPeerDependencies:new Map(p.filter(([h])=>A.peerDependenciesMeta.get(h)?.optional===!0))})}for(let A of this.project.storedPackages.values()){let p=n.get(A.locatorHash);p.dependencies=new Map(Array.from(A.dependencies.values(),h=>{let E=this.project.storedResolutions.get(h.descriptorHash);if(typeof E>"u")throw new Error("Assertion failed: The resolution should have been registered");let I=n.get(E);if(typeof I>"u")throw new Error("Assertion failed: The package should have been registered");return[W.stringifyIdent(h),I]})),p.dependencies.delete(p.ident)}for(let A of this.project.workspaces){let p=W.stringifyIdent(A.anchoredLocator),h=A.manifest.exportTo({}),E=n.get(A.anchoredLocator.locatorHash);if(typeof E>"u")throw new Error("Assertion failed: The package should have been registered");let I=(T,L,{caller:U=Ji.getCaller()}={})=>{let J=I2(T),te=je.getMapWithDefault(a.manifestUpdates,A.cwd),le=je.getMapWithDefault(te,J),pe=je.getSetWithDefault(le,L);U!==null&&pe.add(U)},v=T=>I(T,void 0,{caller:Ji.getCaller()}),b=T=>{je.getArrayWithDefault(a.reportedErrors,A.cwd).push(T)},C=e.insert({cwd:A.relativeCwd,ident:p,manifest:h,pkg:E,set:I,unset:v,error:b});u.set(A,C);for(let T of Mt.allDependencies)for(let L of A.manifest[T].values()){let U=W.stringifyIdent(L),J=()=>{I([T,U],void 0,{caller:Ji.getCaller()})},te=pe=>{I([T,U],pe,{caller:Ji.getCaller()})},le=null;if(T!=="peerDependencies"&&(T!=="dependencies"||!A.manifest.devDependencies.has(L.identHash))){let pe=A.anchoredPackage.dependencies.get(L.identHash);if(pe){if(typeof pe>"u")throw new Error("Assertion failed: The dependency should have been registered");let Ae=this.project.storedResolutions.get(pe.descriptorHash);if(typeof Ae>"u")throw new Error("Assertion failed: The resolution should have been registered");let ye=n.get(Ae);if(typeof ye>"u")throw new Error("Assertion failed: The package should have been registered");le=ye}}r.insert({workspace:C,ident:U,range:L.range,type:T,resolution:le,update:te,delete:J,error:b})}}for(let A of this.project.storedPackages.values()){let p=this.project.tryWorkspaceByLocator(A);if(!p)continue;let h=u.get(p);if(typeof h>"u")throw new Error("Assertion failed: The workspace should have been registered");let E=n.get(A.locatorHash);if(typeof E>"u")throw new Error("Assertion failed: The package should have been registered");E.workspace=h}return{workspaces:e,dependencies:r,packages:o,result:a}}async process(){let e=this.createEnvironment(),r={Yarn:{workspace:a=>e.workspaces.find(a)[0]??null,workspaces:a=>e.workspaces.find(a),dependency:a=>e.dependencies.find(a)[0]??null,dependencies:a=>e.dependencies.find(a),package:a=>e.packages.find(a)[0]??null,packages:a=>e.packages.find(a)}},o=await this.project.loadUserConfig();return o?.constraints?(await o.constraints(r),e.result):null}};Ye();Ye();qt();var A0=class extends ut{constructor(){super(...arguments);this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.query=ge.String()}async execute(){let{Constraints:r}=await Promise.resolve().then(()=>(x2(),S2)),o=await Ve.find(this.context.cwd,this.context.plugins),{project:a}=await St.find(o,this.context.cwd),n=await r.find(a),u=this.query;return u.endsWith(".")||(u=`${u}.`),(await Nt.start({configuration:o,json:this.json,stdout:this.context.stdout},async p=>{for await(let h of n.query(u)){let E=Array.from(Object.entries(h)),I=E.length,v=E.reduce((b,[C])=>Math.max(b,C.length),0);for(let b=0;b<I;b++){let[C,T]=E[b];p.reportInfo(null,`${idt(b,I)}${C.padEnd(v," ")} = ${ndt(T)}`)}p.reportJson(h)}})).exitCode()}};A0.paths=[["constraints","query"]],A0.usage=nt.Usage({category:"Constraints-related commands",description:"query the constraints fact database",details:`
+      This command will output all matches to the given prolog query.
+    `,examples:[["List all dependencies throughout the workspace","yarn constraints query 'workspace_has_dependency(_, DependencyName, _, _).'"]]});function ndt(t){return typeof t!="string"?`${t}`:t.match(/^[a-zA-Z][a-zA-Z0-9_]+$/)?t:`'${t}'`}function idt(t,e){let r=t===0,o=t===e-1;return r&&o?"":r?"\u250C ":o?"\u2514 ":"\u2502 "}Ye();qt();var f0=class extends ut{constructor(){super(...arguments);this.verbose=ge.Boolean("-v,--verbose",!1,{description:"Also print the fact database automatically compiled from the workspace manifests"})}async execute(){let{Constraints:r}=await Promise.resolve().then(()=>(x2(),S2)),o=await Ve.find(this.context.cwd,this.context.plugins),{project:a}=await St.find(o,this.context.cwd),n=await r.find(a);this.context.stdout.write(this.verbose?n.fullSource:n.source)}};f0.paths=[["constraints","source"]],f0.usage=nt.Usage({category:"Constraints-related commands",description:"print the source code for the constraints",details:"\n      This command will print the Prolog source code used by the constraints engine. Adding the `-v,--verbose` flag will print the *full* source code, including the fact database automatically compiled from the workspace manifests.\n    ",examples:[["Prints the source code","yarn constraints source"],["Print the source code and the fact database","yarn constraints source -v"]]});Ye();Ye();qt();B2();var p0=class extends ut{constructor(){super(...arguments);this.fix=ge.Boolean("--fix",!1,{description:"Attempt to automatically fix unambiguous issues, following a multi-pass process"});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o}=await St.find(r,this.context.cwd);await o.restoreInstallState();let a=await o.loadUserConfig(),n;if(a?.constraints)n=new wC(o);else{let{Constraints:h}=await Promise.resolve().then(()=>(x2(),S2));n=await h.find(o)}let u,A=!1,p=!1;for(let h=this.fix?10:1;h>0;--h){let E=await n.process();if(!E)break;let{changedWorkspaces:I,remainingErrors:v}=mk(o,E,{fix:this.fix}),b=[];for(let[C,T]of I){let L=C.manifest.indent;C.manifest=new Mt,C.manifest.indent=L,C.manifest.load(T),b.push(C.persistManifest())}if(await Promise.all(b),!(I.size>0&&h>1)){u=Gde(v,{configuration:r}),A=!1,p=!0;for(let[,C]of v)for(let T of C)T.fixable?A=!0:p=!1}}if(u.children.length===0)return 0;if(A){let h=p?`Those errors can all be fixed by running ${de.pretty(r,"yarn constraints --fix",de.Type.CODE)}`:`Errors prefixed by '\u2699' can be fixed by running ${de.pretty(r,"yarn constraints --fix",de.Type.CODE)}`;await Nt.start({configuration:r,stdout:this.context.stdout,includeNames:!1,includeFooter:!1},async E=>{E.reportInfo(0,h),E.reportSeparator()})}return u.children=je.sortMap(u.children,h=>h.value[1]),$s.emitTree(u,{configuration:r,stdout:this.context.stdout,json:this.json,separators:1}),1}};p0.paths=[["constraints"]],p0.usage=nt.Usage({category:"Constraints-related commands",description:"check that the project constraints are met",details:`
+      This command will run constraints on your project and emit errors for each one that is found but isn't met. If any error is emitted the process will exit with a non-zero exit code.
+
+      If the \`--fix\` flag is used, Yarn will attempt to automatically fix the issues the best it can, following a multi-pass process (with a maximum of 10 iterations). Some ambiguous patterns cannot be autofixed, in which case you'll have to manually specify the right resolution.
+
+      For more information as to how to write constraints, please consult our dedicated page on our website: https://yarnpkg.com/features/constraints.
+    `,examples:[["Check that all constraints are satisfied","yarn constraints"],["Autofix all unmet constraints","yarn constraints --fix"]]});B2();var sdt={configuration:{enableConstraintsChecks:{description:"If true, constraints will run during installs",type:"BOOLEAN",default:!1},constraintsPath:{description:"The path of the constraints file.",type:"ABSOLUTE_PATH",default:"./constraints.pro"}},commands:[A0,f0,p0],hooks:{async validateProjectAfterInstall(t,{reportError:e}){if(!t.configuration.get("enableConstraintsChecks"))return;let r=await t.loadUserConfig(),o;if(r?.constraints)o=new wC(t);else{let{Constraints:u}=await Promise.resolve().then(()=>(x2(),S2));o=await u.find(t)}let a=await o.process();if(!a)return;let{remainingErrors:n}=mk(t,a);if(n.size!==0)if(t.configuration.isCI)for(let[u,A]of n)for(let p of A)e(84,`${de.pretty(t.configuration,u.anchoredLocator,de.Type.IDENT)}: ${p.text}`);else e(84,`Constraint check failed; run ${de.pretty(t.configuration,"yarn constraints",de.Type.CODE)} for more details`)}}},odt=sdt;var vH={};Kt(vH,{CreateCommand:()=>em,DlxCommand:()=>h0,default:()=>ldt});Ye();qt();var em=class extends ut{constructor(){super(...arguments);this.pkg=ge.String("-p,--package",{description:"The package to run the provided command from"});this.quiet=ge.Boolean("-q,--quiet",!1,{description:"Only report critical errors instead of printing the full install logs"});this.command=ge.String();this.args=ge.Proxy()}async execute(){let r=[];this.pkg&&r.push("--package",this.pkg),this.quiet&&r.push("--quiet");let o=this.command.replace(/^(@[^@/]+)(@|$)/,"$1/create$2"),a=W.parseDescriptor(o),n=a.name.match(/^create(-|$)/)?a:a.scope?W.makeIdent(a.scope,`create-${a.name}`):W.makeIdent(null,`create-${a.name}`),u=W.stringifyIdent(n);return a.range!=="unknown"&&(u+=`@${a.range}`),this.cli.run(["dlx",...r,u,...this.args])}};em.paths=[["create"]];Ye();Ye();Pt();qt();var h0=class extends ut{constructor(){super(...arguments);this.packages=ge.Array("-p,--package",{description:"The package(s) to install before running the command"});this.quiet=ge.Boolean("-q,--quiet",!1,{description:"Only report critical errors instead of printing the full install logs"});this.command=ge.String();this.args=ge.Proxy()}async execute(){return Ve.telemetry=null,await oe.mktempPromise(async r=>{let o=K.join(r,`dlx-${process.pid}`);await oe.mkdirPromise(o),await oe.writeFilePromise(K.join(o,"package.json"),`{}
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+          // Expose non-hidden built-in modules as global variables
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+              configurable: true,
+              enumerable: false,
+            });
+          }
+
+          // Expose the 'execEnv' global variable
+          Object.defineProperty(global, 'execEnv', {
+            value: {
+              ...${JSON.stringify(v)},
+            },
+            enumerable: true,
+          });
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+`,{request:_e,issuer:Te,issuerLocator:Object.assign({},S),dependencyName:x,brokenAncestors:Ne})}else F===void 0&&(!be&&(0,rp.isBuiltin)(Re)?J(S)?X=$i("UNDECLARED_DEPENDENCY",`Your application tried to access ${x}. While this module is usually interpreted as a Node builtin, your resolver is running inside a non-Node resolution context where such builtins are ignored. Since ${x} isn't otherwise declared in your dependencies, this makes the require call ambiguous and unsound.
+
+Required package: ${x}${x!==_e?` (via "${_e}")`:""}
+Required by: ${Te}
+`,{request:_e,issuer:Te,dependencyName:x}):X=$i("UNDECLARED_DEPENDENCY",`${S.name} tried to access ${x}. While this module is usually interpreted as a Node builtin, your resolver is running inside a non-Node resolution context where such builtins are ignored. Since ${x} isn't otherwise declared in ${S.name}'s dependencies, this makes the require call ambiguous and unsound.
+
+Required package: ${x}${x!==_e?` (via "${_e}")`:""}
+Required by: ${Te}
+`,{request:_e,issuer:Te,issuerLocator:Object.assign({},S),dependencyName:x}):J(S)?X=$i("UNDECLARED_DEPENDENCY",`Your application tried to access ${x}, but it isn't declared in your dependencies; this makes the require call ambiguous and unsound.
+
+Required package: ${x}${x!==_e?` (via "${_e}")`:""}
+Required by: ${Te}
+`,{request:_e,issuer:Te,dependencyName:x}):X=$i("UNDECLARED_DEPENDENCY",`${S.name} tried to access ${x}, but it isn't declared in its dependencies; this makes the require call ambiguous and unsound.
+
+Required package: ${x}${x!==_e?` (via "${_e}")`:""}
+Required by: ${S.name}@${S.reference} (via ${Te})
+`,{request:_e,issuer:Te,issuerLocator:Object.assign({},S),dependencyName:x}));if(F==null){if(z===null||X===null)throw X||new Error("Assertion failed: Expected an error to have been set");F=z;let Ne=X.message.replace(/\n.*/g,"");X.message=Ne,!E.has(Ne)&&o!==0&&(E.add(Ne),process.emitWarning(X))}let Z=Array.isArray(F)?{name:F[0],reference:F[1]}:{name:x,reference:F},ie=U(Z);if(!ie.packageLocation)throw $i("MISSING_DEPENDENCY",`A dependency seems valid but didn't get installed for some reason. This might be caused by a partial install, such as dev vs prod.
+
+Required package: ${Z.name}@${Z.reference}${Z.name!==_e?` (via "${_e}")`:""}
+Required by: ${S.name}@${S.reference} (via ${Te})
+`,{request:_e,issuer:Te,dependencyLocator:Object.assign({},Z)});let Se=ie.packageLocation;w?Je=K.join(Se,w):Je=Se}else if(K.isAbsolute(Re))Je=K.normalize(Re);else{if(!Qe)throw $i("API_ERROR","The resolveToUnqualified function must be called with a valid issuer when the path isn't a builtin nor absolute",{request:_e,issuer:Te});let x=K.resolve(Qe);Qe.match(u)?Je=K.normalize(K.join(x,Re)):Je=K.normalize(K.join(K.dirname(x),Re))}return K.normalize(Je)}function Ie(Re,Qe,be=te,_e){if(n.test(Re))return Qe;let Te=le(Qe,be,_e);return Te?K.normalize(Te):Qe}function ke(Re,{extensions:Qe=Object.keys(rp.Module._extensions)}={}){let be=[],_e=pe(Re,be,{extensions:Qe});if(_e)return K.normalize(_e);{ZIe(be.map(He=>ue.fromPortablePath(He)));let Te=au(Re),Je=ce(Re);if(Je){let{packageLocation:He}=U(Je),x=!0;try{e.fakeFs.accessSync(He)}catch(w){if(w?.code==="ENOENT")x=!1;else{let S=(w?.message??w??"empty exception thrown").replace(/^[A-Z]/,y=>y.toLowerCase());throw $i("QUALIFIED_PATH_RESOLUTION_FAILED",`Required package exists but could not be accessed (${S}).
+
+Missing package: ${Je.name}@${Je.reference}
+Expected package location: ${au(He)}
+`,{unqualifiedPath:Te,extensions:Qe})}}if(!x){let w=He.includes("/unplugged/")?"Required unplugged package missing from disk. This may happen when switching branches without running installs (unplugged packages must be fully materialized on disk to work).":"Required package missing from disk. If you keep your packages inside your repository then restarting the Node process may be enough. Otherwise, try to run an install first.";throw $i("QUALIFIED_PATH_RESOLUTION_FAILED",`${w}
+
+Missing package: ${Je.name}@${Je.reference}
+Expected package location: ${au(He)}
+`,{unqualifiedPath:Te,extensions:Qe})}}throw $i("QUALIFIED_PATH_RESOLUTION_FAILED",`Qualified path resolution failed: we looked for the following paths, but none could be accessed.
+
+Source path: ${Te}
+${be.map(He=>`Not found: ${au(He)}
+`).join("")}`,{unqualifiedPath:Te,extensions:Qe})}}function ht(Re,Qe,be){if(!Qe)throw new Error("Assertion failed: An issuer is required to resolve private import mappings");let _e=YIe({name:Re,base:(0,gm.pathToFileURL)(ue.fromPortablePath(Qe)),conditions:be.conditions??te,readFileSyncFn:ne});if(_e instanceof URL)return ke(ue.toPortablePath((0,gm.fileURLToPath)(_e)),{extensions:be.extensions});if(_e.startsWith("#"))throw new Error("Mapping from one private import to another isn't allowed");return H(_e,Qe,be)}function H(Re,Qe,be={}){try{if(Re.startsWith("#"))return ht(Re,Qe,be);let{considerBuiltins:_e,extensions:Te,conditions:Je}=be,He=ee(Re,Qe,{considerBuiltins:_e});if(Re==="pnpapi")return He;if(He===null)return null;let x=()=>Qe!==null?ae(Qe):!1,w=(!_e||!(0,rp.isBuiltin)(Re))&&!x()?Ie(Re,He,Je,Qe):He;return ke(w,{extensions:Te})}catch(_e){throw Object.hasOwn(_e,"pnpCode")&&Object.assign(_e.data,{request:au(Re),issuer:Qe&&au(Qe)}),_e}}function lt(Re){let Qe=K.normalize(Re),be=mi.resolveVirtual(Qe);return be!==Qe?be:null}return{VERSIONS:we,topLevel:Pe,getLocator:(Re,Qe)=>Array.isArray(Qe)?{name:Qe[0],reference:Qe[1]}:{name:Re,reference:Qe},getDependencyTreeRoots:()=>[...t.dependencyTreeRoots],getAllLocators(){let Re=[];for(let[Qe,be]of v)for(let _e of be.keys())Qe!==null&&_e!==null&&Re.push({name:Qe,reference:_e});return Re},getPackageInformation:Re=>{let Qe=g(Re);if(Qe===null)return null;let be=ue.fromPortablePath(Qe.packageLocation);return{...Qe,packageLocation:be}},findPackageLocator:Re=>ce(ue.toPortablePath(Re)),resolveToUnqualified:L("resolveToUnqualified",(Re,Qe,be)=>{let _e=Qe!==null?ue.toPortablePath(Qe):null,Te=ee(ue.toPortablePath(Re),_e,be);return Te===null?null:ue.fromPortablePath(Te)}),resolveUnqualified:L("resolveUnqualified",(Re,Qe)=>ue.fromPortablePath(ke(ue.toPortablePath(Re),Qe))),resolveRequest:L("resolveRequest",(Re,Qe,be)=>{let _e=Qe!==null?ue.toPortablePath(Qe):null,Te=H(ue.toPortablePath(Re),_e,be);return Te===null?null:ue.fromPortablePath(Te)}),resolveVirtual:L("resolveVirtual",Re=>{let Qe=lt(ue.toPortablePath(Re));return Qe!==null?ue.fromPortablePath(Qe):null})}}Pt();var $Ie=(t,e,r)=>{let o=XB(t),a=Yj(o,{basePath:e}),n=ue.join(e,dr.pnpCjs);return rq(a,{fakeFs:r,pnpapiResolution:n})};var iq=$e(t1e());qt();var mA={};Kt(mA,{checkManifestCompatibility:()=>r1e,extractBuildRequest:()=>vQ,getExtractHint:()=>sq,hasBindingGyp:()=>oq});Ye();Pt();function r1e(t){return W.isPackageCompatible(t,Ji.getArchitectureSet())}function vQ(t,e,r,{configuration:o}){let a=[];for(let n of["preinstall","install","postinstall"])e.manifest.scripts.has(n)&&a.push({type:0,script:n});return!e.manifest.scripts.has("install")&&e.misc.hasBindingGyp&&a.push({type:1,script:"node-gyp rebuild"}),a.length===0?null:t.linkType!=="HARD"?{skipped:!0,explain:n=>n.reportWarningOnce(6,`${W.prettyLocator(o,t)} lists build scripts, but is referenced through a soft link. Soft links don't support build scripts, so they'll be ignored.`)}:r&&r.built===!1?{skipped:!0,explain:n=>n.reportInfoOnce(5,`${W.prettyLocator(o,t)} lists build scripts, but its build has been explicitly disabled through configuration.`)}:!o.get("enableScripts")&&!r.built?{skipped:!0,explain:n=>n.reportWarningOnce(4,`${W.prettyLocator(o,t)} lists build scripts, but all build scripts have been disabled.`)}:r1e(t)?{skipped:!1,directives:a}:{skipped:!0,explain:n=>n.reportWarningOnce(76,`${W.prettyLocator(o,t)} The ${Ji.getArchitectureName()} architecture is incompatible with this package, build skipped.`)}}var VIt=new Set([".exe",".bin",".h",".hh",".hpp",".c",".cc",".cpp",".java",".jar",".node"]);function sq(t){return t.packageFs.getExtractHint({relevantExtensions:VIt})}function oq(t){let e=K.join(t.prefixPath,"binding.gyp");return t.packageFs.existsSync(e)}var av={};Kt(av,{getUnpluggedPath:()=>ov});Ye();Pt();function ov(t,{configuration:e}){return K.resolve(e.get("pnpUnpluggedFolder"),W.slugifyLocator(t))}var KIt=new Set([W.makeIdent(null,"open").identHash,W.makeIdent(null,"opn").identHash]),P0=class{constructor(){this.mode="strict";this.pnpCache=new Map}getCustomDataKey(){return JSON.stringify({name:"PnpLinker",version:2})}supportsPackage(e,r){return this.isEnabled(r)}async findPackageLocation(e,r){if(!this.isEnabled(r))throw new Error("Assertion failed: Expected the PnP linker to be enabled");let o=S0(r.project).cjs;if(!oe.existsSync(o))throw new it(`The project in ${de.pretty(r.project.configuration,`${r.project.cwd}/package.json`,de.Type.PATH)} doesn't seem to have been installed - running an install there might help`);let a=je.getFactoryWithDefault(this.pnpCache,o,()=>je.dynamicRequire(o,{cachingStrategy:je.CachingStrategy.FsTime})),n={name:W.stringifyIdent(e),reference:e.reference},u=a.getPackageInformation(n);if(!u)throw new it(`Couldn't find ${W.prettyLocator(r.project.configuration,e)} in the currently installed PnP map - running an install might help`);return ue.toPortablePath(u.packageLocation)}async findPackageLocator(e,r){if(!this.isEnabled(r))return null;let o=S0(r.project).cjs;if(!oe.existsSync(o))return null;let n=je.getFactoryWithDefault(this.pnpCache,o,()=>je.dynamicRequire(o,{cachingStrategy:je.CachingStrategy.FsTime})).findPackageLocator(ue.fromPortablePath(e));return n?W.makeLocator(W.parseIdent(n.name),n.reference):null}makeInstaller(e){return new dm(e)}isEnabled(e){return!(e.project.configuration.get("nodeLinker")!=="pnp"||e.project.configuration.get("pnpMode")!==this.mode)}},dm=class{constructor(e){this.opts=e;this.mode="strict";this.asyncActions=new je.AsyncActions(10);this.packageRegistry=new Map;this.virtualTemplates=new Map;this.isESMLoaderRequired=!1;this.customData={store:new Map};this.unpluggedPaths=new Set;this.opts=e}attachCustomData(e){this.customData=e}async installPackage(e,r,o){let a=W.stringifyIdent(e),n=e.reference,u=!!this.opts.project.tryWorkspaceByLocator(e),A=W.isVirtualLocator(e),p=e.peerDependencies.size>0&&!A,h=!p&&!u,E=!p&&e.linkType!=="SOFT",I,v;if(h||E){let te=A?W.devirtualizeLocator(e):e;I=this.customData.store.get(te.locatorHash),typeof I>"u"&&(I=await JIt(r),e.linkType==="HARD"&&this.customData.store.set(te.locatorHash,I)),I.manifest.type==="module"&&(this.isESMLoaderRequired=!0),v=this.opts.project.getDependencyMeta(te,e.version)}let b=h?vQ(e,I,v,{configuration:this.opts.project.configuration}):null,C=E?await this.unplugPackageIfNeeded(e,I,r,v,o):r.packageFs;if(K.isAbsolute(r.prefixPath))throw new Error(`Assertion failed: Expected the prefix path (${r.prefixPath}) to be relative to the parent`);let T=K.resolve(C.getRealPath(),r.prefixPath),L=aq(this.opts.project.cwd,T),U=new Map,J=new Set;if(A){for(let te of e.peerDependencies.values())U.set(W.stringifyIdent(te),null),J.add(W.stringifyIdent(te));if(!u){let te=W.devirtualizeLocator(e);this.virtualTemplates.set(te.locatorHash,{location:aq(this.opts.project.cwd,mi.resolveVirtual(T)),locator:te})}}return je.getMapWithDefault(this.packageRegistry,a).set(n,{packageLocation:L,packageDependencies:U,packagePeers:J,linkType:e.linkType,discardFromLookup:r.discardFromLookup||!1}),{packageLocation:T,buildRequest:b}}async attachInternalDependencies(e,r){let o=this.getPackageInformation(e);for(let[a,n]of r){let u=W.areIdentsEqual(a,n)?n.reference:[W.stringifyIdent(n),n.reference];o.packageDependencies.set(W.stringifyIdent(a),u)}}async attachExternalDependents(e,r){for(let o of r)this.getDiskInformation(o).packageDependencies.set(W.stringifyIdent(e),e.reference)}async finalizeInstall(){if(this.opts.project.configuration.get("pnpMode")!==this.mode)return;let e=S0(this.opts.project);if(this.isEsmEnabled()||await oe.removePromise(e.esmLoader),this.opts.project.configuration.get("nodeLinker")!=="pnp"){await oe.removePromise(e.cjs),await oe.removePromise(e.data),await oe.removePromise(e.esmLoader),await oe.removePromise(this.opts.project.configuration.get("pnpUnpluggedFolder"));return}for(let{locator:E,location:I}of this.virtualTemplates.values())je.getMapWithDefault(this.packageRegistry,W.stringifyIdent(E)).set(E.reference,{packageLocation:I,packageDependencies:new Map,packagePeers:new Set,linkType:"SOFT",discardFromLookup:!1});this.packageRegistry.set(null,new Map([[null,this.getPackageInformation(this.opts.project.topLevelWorkspace.anchoredLocator)]]));let r=this.opts.project.configuration.get("pnpFallbackMode"),o=this.opts.project.workspaces.map(({anchoredLocator:E})=>({name:W.stringifyIdent(E),reference:E.reference})),a=r!=="none",n=[],u=new Map,A=je.buildIgnorePattern([".yarn/sdks/**",...this.opts.project.configuration.get("pnpIgnorePatterns")]),p=this.packageRegistry,h=this.opts.project.configuration.get("pnpShebang");if(r==="dependencies-only")for(let E of this.opts.project.storedPackages.values())this.opts.project.tryWorkspaceByLocator(E)&&n.push({name:W.stringifyIdent(E),reference:E.reference});return await this.asyncActions.wait(),await this.finalizeInstallWithPnp({dependencyTreeRoots:o,enableTopLevelFallback:a,fallbackExclusionList:n,fallbackPool:u,ignorePattern:A,packageRegistry:p,shebang:h}),{customData:this.customData}}async transformPnpSettings(e){}isEsmEnabled(){if(this.opts.project.configuration.sources.has("pnpEnableEsmLoader"))return this.opts.project.configuration.get("pnpEnableEsmLoader");if(this.isESMLoaderRequired)return!0;for(let e of this.opts.project.workspaces)if(e.manifest.type==="module")return!0;return!1}async finalizeInstallWithPnp(e){let r=S0(this.opts.project),o=await this.locateNodeModules(e.ignorePattern);if(o.length>0){this.opts.report.reportWarning(31,"One or more node_modules have been detected and will be removed. This operation may take some time.");for(let n of o)await oe.removePromise(n)}if(await this.transformPnpSettings(e),this.opts.project.configuration.get("pnpEnableInlining")){let n=bIe(e);await oe.changeFilePromise(r.cjs,n,{automaticNewlines:!0,mode:493}),await oe.removePromise(r.data)}else{let{dataFile:n,loaderFile:u}=kIe(e);await oe.changeFilePromise(r.cjs,u,{automaticNewlines:!0,mode:493}),await oe.changeFilePromise(r.data,n,{automaticNewlines:!0,mode:420})}this.isEsmEnabled()&&(this.opts.report.reportWarning(0,"ESM support for PnP uses the experimental loader API and is therefore experimental"),await oe.changeFilePromise(r.esmLoader,(0,iq.default)(),{automaticNewlines:!0,mode:420}));let a=this.opts.project.configuration.get("pnpUnpluggedFolder");if(this.unpluggedPaths.size===0)await oe.removePromise(a);else for(let n of await oe.readdirPromise(a)){let u=K.resolve(a,n);this.unpluggedPaths.has(u)||await oe.removePromise(u)}}async locateNodeModules(e){let r=[],o=e?new RegExp(e):null;for(let a of this.opts.project.workspaces){let n=K.join(a.cwd,"node_modules");if(o&&o.test(K.relative(this.opts.project.cwd,a.cwd))||!oe.existsSync(n))continue;let u=await oe.readdirPromise(n,{withFileTypes:!0}),A=u.filter(p=>!p.isDirectory()||p.name===".bin"||!p.name.startsWith("."));if(A.length===u.length)r.push(n);else for(let p of A)r.push(K.join(n,p.name))}return r}async unplugPackageIfNeeded(e,r,o,a,n){return this.shouldBeUnplugged(e,r,a)?this.unplugPackage(e,o,n):o.packageFs}shouldBeUnplugged(e,r,o){return typeof o.unplugged<"u"?o.unplugged:KIt.has(e.identHash)||e.conditions!=null?!0:r.manifest.preferUnplugged!==null?r.manifest.preferUnplugged:!!(vQ(e,r,o,{configuration:this.opts.project.configuration})?.skipped===!1||r.misc.extractHint)}async unplugPackage(e,r,o){let a=ov(e,{configuration:this.opts.project.configuration});return this.opts.project.disabledLocators.has(e.locatorHash)?new Uu(a,{baseFs:r.packageFs,pathUtils:K}):(this.unpluggedPaths.add(a),o.holdFetchResult(this.asyncActions.set(e.locatorHash,async()=>{let n=K.join(a,r.prefixPath,".ready");await oe.existsPromise(n)||(this.opts.project.storedBuildState.delete(e.locatorHash),await oe.mkdirPromise(a,{recursive:!0}),await oe.copyPromise(a,Bt.dot,{baseFs:r.packageFs,overwrite:!1}),await oe.writeFilePromise(n,""))})),new gn(a))}getPackageInformation(e){let r=W.stringifyIdent(e),o=e.reference,a=this.packageRegistry.get(r);if(!a)throw new Error(`Assertion failed: The package information store should have been available (for ${W.prettyIdent(this.opts.project.configuration,e)})`);let n=a.get(o);if(!n)throw new Error(`Assertion failed: The package information should have been available (for ${W.prettyLocator(this.opts.project.configuration,e)})`);return n}getDiskInformation(e){let r=je.getMapWithDefault(this.packageRegistry,"@@disk"),o=aq(this.opts.project.cwd,e);return je.getFactoryWithDefault(r,o,()=>({packageLocation:o,packageDependencies:new Map,packagePeers:new Set,linkType:"SOFT",discardFromLookup:!1}))}};function aq(t,e){let r=K.relative(t,e);return r.match(/^\.{0,2}\//)||(r=`./${r}`),r.replace(/\/?$/,"/")}async function JIt(t){let e=await Mt.tryFind(t.prefixPath,{baseFs:t.packageFs})??new Mt,r=new Set(["preinstall","install","postinstall"]);for(let o of e.scripts.keys())r.has(o)||e.scripts.delete(o);return{manifest:{scripts:e.scripts,preferUnplugged:e.preferUnplugged,type:e.type},misc:{extractHint:sq(t),hasBindingGyp:oq(t)}}}Ye();Ye();qt();var n1e=$e(Zo());var x0=class extends ut{constructor(){super(...arguments);this.all=ge.Boolean("-A,--all",!1,{description:"Unplug direct dependencies from the entire project"});this.recursive=ge.Boolean("-R,--recursive",!1,{description:"Unplug both direct and transitive dependencies"});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.patterns=ge.Rest()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);if(r.get("nodeLinker")!=="pnp")throw new it("This command can only be used if the `nodeLinker` option is set to `pnp`");await o.restoreInstallState();let u=new Set(this.patterns),A=this.patterns.map(b=>{let C=W.parseDescriptor(b),T=C.range!=="unknown"?C:W.makeDescriptor(C,"*");if(!kr.validRange(T.range))throw new it(`The range of the descriptor patterns must be a valid semver range (${W.prettyDescriptor(r,T)})`);return L=>{let U=W.stringifyIdent(L);return!n1e.default.isMatch(U,W.stringifyIdent(T))||L.version&&!kr.satisfiesWithPrereleases(L.version,T.range)?!1:(u.delete(b),!0)}}),p=()=>{let b=[];for(let C of o.storedPackages.values())!o.tryWorkspaceByLocator(C)&&!W.isVirtualLocator(C)&&A.some(T=>T(C))&&b.push(C);return b},h=b=>{let C=new Set,T=[],L=(U,J)=>{if(C.has(U.locatorHash))return;let te=!!o.tryWorkspaceByLocator(U);if(!(J>0&&!this.recursive&&te)&&(C.add(U.locatorHash),!o.tryWorkspaceByLocator(U)&&A.some(le=>le(U))&&T.push(U),!(J>0&&!this.recursive)))for(let le of U.dependencies.values()){let pe=o.storedResolutions.get(le.descriptorHash);if(!pe)throw new Error("Assertion failed: The resolution should have been registered");let Ae=o.storedPackages.get(pe);if(!Ae)throw new Error("Assertion failed: The package should have been registered");L(Ae,J+1)}};for(let U of b)L(U.anchoredPackage,0);return T},E,I;if(this.all&&this.recursive?(E=p(),I="the project"):this.all?(E=h(o.workspaces),I="any workspace"):(E=h([a]),I="this workspace"),u.size>1)throw new it(`Patterns ${de.prettyList(r,u,de.Type.CODE)} don't match any packages referenced by ${I}`);if(u.size>0)throw new it(`Pattern ${de.prettyList(r,u,de.Type.CODE)} doesn't match any packages referenced by ${I}`);E=je.sortMap(E,b=>W.stringifyLocator(b));let v=await Nt.start({configuration:r,stdout:this.context.stdout,json:this.json},async b=>{for(let C of E){let T=C.version??"unknown",L=o.topLevelWorkspace.manifest.ensureDependencyMeta(W.makeDescriptor(C,T));L.unplugged=!0,b.reportInfo(0,`Will unpack ${W.prettyLocator(r,C)} to ${de.pretty(r,ov(C,{configuration:r}),de.Type.PATH)}`),b.reportJson({locator:W.stringifyLocator(C),version:T})}await o.topLevelWorkspace.persistManifest(),this.json||b.reportSeparator()});return v.hasErrors()?v.exitCode():await o.installWithNewReport({json:this.json,stdout:this.context.stdout},{cache:n})}};x0.paths=[["unplug"]],x0.usage=nt.Usage({description:"force the unpacking of a list of packages",details:"\n      This command will add the selectors matching the specified patterns to the list of packages that must be unplugged when installed.\n\n      A package being unplugged means that instead of being referenced directly through its archive, it will be unpacked at install time in the directory configured via `pnpUnpluggedFolder`. Note that unpacking packages this way is generally not recommended because it'll make it harder to store your packages within the repository. However, it's a good approach to quickly and safely debug some packages, and can even sometimes be required depending on the context (for example when the package contains shellscripts).\n\n      Running the command will set a persistent flag inside your top-level `package.json`, in the `dependenciesMeta` field. As such, to undo its effects, you'll need to revert the changes made to the manifest and run `yarn install` to apply the modification.\n\n      By default, only direct dependencies from the current workspace are affected. If `-A,--all` is set, direct dependencies from the entire project are affected. Using the `-R,--recursive` flag will affect transitive dependencies as well as direct ones.\n\n      This command accepts glob patterns inside the scope and name components (not the range). 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scope",type:"MAP",valueDefinition:{description:"",type:"SHAPE",properties:{...yG,...BBe}}},npmRegistries:{description:"Settings per registry",type:"MAP",normalizeKeys:oc,valueDefinition:{description:"",type:"SHAPE",properties:{...yG}}}},fetchers:[fv,dl],resolvers:[pv,hv,gv]},Ovt=Mvt;var xG={};Kt(xG,{NpmAuditCommand:()=>_0,NpmInfoCommand:()=>H0,NpmLoginCommand:()=>j0,NpmLogoutCommand:()=>q0,NpmPublishCommand:()=>G0,NpmTagAddCommand:()=>W0,NpmTagListCommand:()=>Y0,NpmTagRemoveCommand:()=>V0,NpmWhoamiCommand:()=>K0,default:()=>Gvt,npmAuditTypes:()=>Tv,npmAuditUtils:()=>eF});Ye();Ye();qt();var vG=$e(Zo());Za();var Tv={};Kt(Tv,{Environment:()=>Qv,Severity:()=>Fv});var Qv=(o=>(o.All="all",o.Production="production",o.Development="development",o))(Qv||{}),Fv=(n=>(n.Info="info",n.Low="low",n.Moderate="moderate",n.High="high",n.Critical="critical",n))(Fv||{});var eF={};Kt(eF,{allSeverities:()=>ow,getPackages:()=>BG,getReportTree:()=>wG,getSeverityInclusions:()=>CG,getTopLevelDependencies:()=>IG});Ye();var vBe=$e(zn());var ow=["info","low","moderate","high","critical"];function CG(t){if(typeof t>"u")return new Set(ow);let e=ow.indexOf(t),r=ow.slice(e);return new Set(r)}function wG(t){let e={},r={children:e};for(let[o,a]of je.sortMap(Object.entries(t),n=>n[0]))for(let n of je.sortMap(a,u=>`${u.id}`))e[`${o}/${n.id}`]={value:de.tuple(de.Type.IDENT,W.parseIdent(o)),children:{ID:typeof n.id<"u"&&{label:"ID",value:de.tuple(de.Type.ID,n.id)},Issue:{label:"Issue",value:de.tuple(de.Type.NO_HINT,n.title)},URL:typeof n.url<"u"&&{label:"URL",value:de.tuple(de.Type.URL,n.url)},Severity:{label:"Severity",value:de.tuple(de.Type.NO_HINT,n.severity)},["Vulnerable Versions"]:{label:"Vulnerable Versions",value:de.tuple(de.Type.RANGE,n.vulnerable_versions)},["Tree Versions"]:{label:"Tree Versions",children:[...n.versions].sort(vBe.default.compare).map(u=>({value:de.tuple(de.Type.REFERENCE,u)}))},Dependents:{label:"Dependents",children:je.sortMap(n.dependents,u=>W.stringifyLocator(u)).map(u=>({value:de.tuple(de.Type.LOCATOR,u)}))}}};return r}function IG(t,e,{all:r,environment:o}){let a=[],n=r?t.workspaces:[e],u=["all","production"].includes(o),A=["all","development"].includes(o);for(let p of n)for(let h of p.anchoredPackage.dependencies.values())(p.manifest.devDependencies.has(h.identHash)?!A:!u)||a.push({workspace:p,dependency:h});return a}function BG(t,e,{recursive:r}){let o=new Map,a=new Set,n=[],u=(A,p)=>{let h=t.storedResolutions.get(p.descriptorHash);if(typeof h>"u")throw new Error("Assertion failed: The resolution should have been registered");if(!a.has(h))a.add(h);else return;let E=t.storedPackages.get(h);if(typeof E>"u")throw new Error("Assertion failed: The package should have been registered");if(W.ensureDevirtualizedLocator(E).reference.startsWith("npm:")&&E.version!==null){let v=W.stringifyIdent(E),b=je.getMapWithDefault(o,v);je.getArrayWithDefault(b,E.version).push(A)}if(r)for(let v of E.dependencies.values())n.push([E,v])};for(let{workspace:A,dependency:p}of e)n.push([A.anchoredLocator,p]);for(;n.length>0;){let[A,p]=n.shift();u(A,p)}return o}var _0=class extends ut{constructor(){super(...arguments);this.all=ge.Boolean("-A,--all",!1,{description:"Audit dependencies from all workspaces"});this.recursive=ge.Boolean("-R,--recursive",!1,{description:"Audit transitive dependencies as well"});this.environment=ge.String("--environment","all",{description:"Which environments to cover",validator:Vs(Qv)});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.noDeprecations=ge.Boolean("--no-deprecations",!1,{description:"Don't warn about deprecated packages"});this.severity=ge.String("--severity","info",{description:"Minimal severity requested for packages to be displayed",validator:Vs(Fv)});this.excludes=ge.Array("--exclude",[],{description:"Array of glob patterns of packages to exclude from audit"});this.ignores=ge.Array("--ignore",[],{description:"Array of glob patterns of advisory ID's to ignore in the audit report"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd);if(!a)throw new rr(o.cwd,this.context.cwd);await o.restoreInstallState();let n=IG(o,a,{all:this.all,environment:this.environment}),u=BG(o,n,{recursive:this.recursive}),A=Array.from(new Set([...r.get("npmAuditExcludePackages"),...this.excludes])),p=Object.create(null);for(let[L,U]of u)A.some(J=>vG.default.isMatch(L,J))||(p[L]=[...U.keys()]);let h=Zn.getAuditRegistry({configuration:r}),E,I=await AA.start({configuration:r,stdout:this.context.stdout},async()=>{let L=on.post("/-/npm/v1/security/advisories/bulk",p,{authType:on.AuthType.BEST_EFFORT,configuration:r,jsonResponse:!0,registry:h}),U=this.noDeprecations?[]:await Promise.all(Array.from(Object.entries(p),async([te,le])=>{let pe=await on.getPackageMetadata(W.parseIdent(te),{project:o});return je.mapAndFilter(le,Ae=>{let{deprecated:ye}=pe.versions[Ae];return ye?[te,Ae,ye]:je.mapAndFilter.skip})})),J=await L;for(let[te,le,pe]of U.flat(1))Object.hasOwn(J,te)&&J[te].some(Ae=>kr.satisfiesWithPrereleases(le,Ae.vulnerable_versions))||(J[te]??=[],J[te].push({id:`${te} (deprecation)`,title:pe.trim()||"This package has been deprecated.",severity:"moderate",vulnerable_versions:le}));E=J});if(I.hasErrors())return I.exitCode();let v=CG(this.severity),b=Array.from(new Set([...r.get("npmAuditIgnoreAdvisories"),...this.ignores])),C=Object.create(null);for(let[L,U]of Object.entries(E)){let J=U.filter(te=>!vG.default.isMatch(`${te.id}`,b)&&v.has(te.severity));J.length>0&&(C[L]=J.map(te=>{let le=u.get(L);if(typeof le>"u")throw new Error("Assertion failed: Expected the registry to only return packages that were requested");let pe=[...le.keys()].filter(ye=>kr.satisfiesWithPrereleases(ye,te.vulnerable_versions)),Ae=new Map;for(let ye of pe)for(let ae of le.get(ye))Ae.set(ae.locatorHash,ae);return{...te,versions:pe,dependents:[...Ae.values()]}}))}let T=Object.keys(C).length>0;return T?($s.emitTree(wG(C),{configuration:r,json:this.json,stdout:this.context.stdout,separators:2}),1):(await Nt.start({configuration:r,includeFooter:!1,json:this.json,stdout:this.context.stdout},async L=>{L.reportInfo(1,"No audit suggestions")}),T?1:0)}};_0.paths=[["npm","audit"]],_0.usage=nt.Usage({description:"perform a vulnerability audit against the installed packages",details:`
+      This command checks for known security reports on the packages you use. The reports are by default extracted from the npm registry, and may or may not be relevant to your actual program (not all vulnerabilities affect all code paths).
+
+      For consistency with our other commands the default is to only check the direct dependencies for the active workspace. To extend this search to all workspaces, use \`-A,--all\`. To extend this search to both direct and transitive dependencies, use \`-R,--recursive\`.
+
+      Applying the \`--severity\` flag will limit the audit table to vulnerabilities of the corresponding severity and above. Valid values are ${ow.map(r=>`\`${r}\``).join(", ")}.
+
+      If the \`--json\` flag is set, Yarn will print the output exactly as received from the registry. Regardless of this flag, the process will exit with a non-zero exit code if a report is found for the selected packages.
+
+      If certain packages produce false positives for a particular environment, the \`--exclude\` flag can be used to exclude any number of packages from the audit. This can also be set in the configuration file with the \`npmAuditExcludePackages\` option.
+
+      If particular advisories are needed to be ignored, the \`--ignore\` flag can be used with Advisory ID's to ignore any number of advisories in the audit report. This can also be set in the configuration file with the \`npmAuditIgnoreAdvisories\` option.
+
+      To understand the dependency tree requiring vulnerable packages, check the raw report with the \`--json\` flag or use \`yarn why package\` to get more information as to who depends on them.
+    `,examples:[["Checks for known security issues with the installed packages. The output is a list of known issues.","yarn npm audit"],["Audit dependencies in all workspaces","yarn npm audit --all"],["Limit auditing to `dependencies` (excludes `devDependencies`)","yarn npm audit --environment production"],["Show audit report as valid JSON","yarn npm audit --json"],["Audit all direct and transitive dependencies","yarn npm audit --recursive"],["Output moderate (or more severe) vulnerabilities","yarn npm audit --severity moderate"],["Exclude certain packages","yarn npm audit --exclude package1 --exclude package2"],["Ignore specific advisories","yarn npm audit --ignore 1234567 --ignore 7654321"]]});Ye();Ye();Pt();qt();var DG=$e(zn()),PG=Be("util"),H0=class extends ut{constructor(){super(...arguments);this.fields=ge.String("-f,--fields",{description:"A comma-separated list of manifest fields that should be displayed"});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.packages=ge.Rest()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o}=await St.find(r,this.context.cwd),a=typeof this.fields<"u"?new Set(["name",...this.fields.split(/\s*,\s*/)]):null,n=[],u=!1,A=await Nt.start({configuration:r,includeFooter:!1,json:this.json,stdout:this.context.stdout},async p=>{for(let h of this.packages){let E;if(h==="."){let le=o.topLevelWorkspace;if(!le.manifest.name)throw new it(`Missing ${de.pretty(r,"name",de.Type.CODE)} field in ${ue.fromPortablePath(K.join(le.cwd,dr.manifest))}`);E=W.makeDescriptor(le.manifest.name,"unknown")}else E=W.parseDescriptor(h);let I=on.getIdentUrl(E),v=SG(await on.get(I,{configuration:r,ident:E,jsonResponse:!0,customErrorMessage:on.customPackageError})),b=Object.keys(v.versions).sort(DG.default.compareLoose),T=v["dist-tags"].latest||b[b.length-1],L=kr.validRange(E.range);if(L){let le=DG.default.maxSatisfying(b,L);le!==null?T=le:(p.reportWarning(0,`Unmet range ${W.prettyRange(r,E.range)}; falling back to the latest version`),u=!0)}else Object.hasOwn(v["dist-tags"],E.range)?T=v["dist-tags"][E.range]:E.range!=="unknown"&&(p.reportWarning(0,`Unknown tag ${W.prettyRange(r,E.range)}; falling back to the latest version`),u=!0);let U=v.versions[T],J={...v,...U,version:T,versions:b},te;if(a!==null){te={};for(let le of a){let pe=J[le];if(typeof pe<"u")te[le]=pe;else{p.reportWarning(1,`The ${de.pretty(r,le,de.Type.CODE)} field doesn't exist inside ${W.prettyIdent(r,E)}'s information`),u=!0;continue}}}else this.json||(delete J.dist,delete J.readme,delete J.users),te=J;p.reportJson(te),this.json||n.push(te)}});PG.inspect.styles.name="cyan";for(let p of n)(p!==n[0]||u)&&this.context.stdout.write(`
+`),this.context.stdout.write(`${(0,PG.inspect)(p,{depth:1/0,colors:!0,compact:!1})}
+`);return A.exitCode()}};H0.paths=[["npm","info"]],H0.usage=nt.Usage({category:"Npm-related commands",description:"show information about a package",details:"\n      This command fetches information about a package from the npm registry and prints it in a tree format.\n\n      The package does not have to be installed locally, but needs to have been published (in particular, local changes will be ignored even for workspaces).\n\n      Append `@<range>` to the package argument to provide information specific to the latest version that satisfies the range or to the corresponding tagged version. If the range is invalid or if there is no version satisfying the range, the command will print a warning and fall back to the latest version.\n\n      If the `-f,--fields` option is set, it's a comma-separated list of fields which will be used to only display part of the package information.\n\n      By default, this command won't return the `dist`, `readme`, and `users` fields, since they are often very long. To explicitly request those fields, explicitly list them with the `--fields` flag or request the output in JSON mode.\n    ",examples:[["Show all available information about react (except the `dist`, `readme`, and `users` fields)","yarn npm info react"],["Show all available information about react as valid JSON (including the `dist`, `readme`, and `users` fields)","yarn npm info react --json"],["Show all available information about react@16.12.0","yarn npm info react@16.12.0"],["Show all available information about react@next","yarn npm info react@next"],["Show the description of react","yarn npm info react --fields description"],["Show all available versions of react","yarn npm info react --fields versions"],["Show the readme of react","yarn npm info react --fields readme"],["Show a few fields of react","yarn npm info react --fields homepage,repository"]]});function SG(t){if(Array.isArray(t)){let e=[];for(let r of t)r=SG(r),r&&e.push(r);return e}else if(typeof t=="object"&&t!==null){let e={};for(let r of Object.keys(t)){if(r.startsWith("_"))continue;let o=SG(t[r]);o&&(e[r]=o)}return e}else return t||null}Ye();Ye();qt();var DBe=$e(A2()),j0=class extends ut{constructor(){super(...arguments);this.scope=ge.String("-s,--scope",{description:"Login to the registry configured for a given scope"});this.publish=ge.Boolean("--publish",!1,{description:"Login to the publish registry"});this.alwaysAuth=ge.Boolean("--always-auth",{description:"Set the npmAlwaysAuth configuration"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),o=await tF({configuration:r,cwd:this.context.cwd,publish:this.publish,scope:this.scope});return(await Nt.start({configuration:r,stdout:this.context.stdout,includeFooter:!1},async n=>{let u=await _vt({configuration:r,registry:o,report:n,stdin:this.context.stdin,stdout:this.context.stdout}),A=`/-/user/org.couchdb.user:${encodeURIComponent(u.name)}`,p=await on.put(A,u,{attemptedAs:u.name,configuration:r,registry:o,jsonResponse:!0,authType:on.AuthType.NO_AUTH});return await Uvt(o,p.token,{alwaysAuth:this.alwaysAuth,scope:this.scope}),n.reportInfo(0,"Successfully logged in")})).exitCode()}};j0.paths=[["npm","login"]],j0.usage=nt.Usage({category:"Npm-related commands",description:"store new login info to access the npm registry",details:"\n      This command will ask you for your username, password, and 2FA One-Time-Password (when it applies). It will then modify your local configuration (in your home folder, never in the project itself) to reference the new tokens thus generated.\n\n      Adding the `-s,--scope` flag will cause the authentication to be done against whatever registry is configured for the associated scope (see also `npmScopes`).\n\n      Adding the `--publish` flag will cause the authentication to be done against the registry used when publishing the package (see also `publishConfig.registry` and `npmPublishRegistry`).\n    ",examples:[["Login to the default registry","yarn npm login"],["Login to the registry linked to the @my-scope registry","yarn npm login --scope my-scope"],["Login to the publish registry for the current package","yarn npm login --publish"]]});async function tF({scope:t,publish:e,configuration:r,cwd:o}){return t&&e?Zn.getScopeRegistry(t,{configuration:r,type:Zn.RegistryType.PUBLISH_REGISTRY}):t?Zn.getScopeRegistry(t,{configuration:r}):e?Zn.getPublishRegistry((await AC(r,o)).manifest,{configuration:r}):Zn.getDefaultRegistry({configuration:r})}async function Uvt(t,e,{alwaysAuth:r,scope:o}){let a=u=>A=>{let p=je.isIndexableObject(A)?A:{},h=p[u],E=je.isIndexableObject(h)?h:{};return{...p,[u]:{...E,...r!==void 0?{npmAlwaysAuth:r}:{},npmAuthToken:e}}},n=o?{npmScopes:a(o)}:{npmRegistries:a(t)};return await Ve.updateHomeConfiguration(n)}async function _vt({configuration:t,registry:e,report:r,stdin:o,stdout:a}){r.reportInfo(0,`Logging in to ${de.pretty(t,e,de.Type.URL)}`);let n=!1;if(e.match(/^https:\/\/npm\.pkg\.github\.com(\/|$)/)&&(r.reportInfo(0,"You seem to be using the GitHub Package Registry. Tokens must be generated with the 'repo', 'write:packages', and 'read:packages' permissions."),n=!0),r.reportSeparator(),t.env.YARN_IS_TEST_ENV)return{name:t.env.YARN_INJECT_NPM_USER||"",password:t.env.YARN_INJECT_NPM_PASSWORD||""};let{username:u,password:A}=await(0,DBe.prompt)([{type:"input",name:"username",message:"Username:",required:!0,onCancel:()=>process.exit(130),stdin:o,stdout:a},{type:"password",name:"password",message:n?"Token:":"Password:",required:!0,onCancel:()=>process.exit(130),stdin:o,stdout:a}]);return r.reportSeparator(),{name:u,password:A}}Ye();Ye();qt();var aw=new Set(["npmAuthIdent","npmAuthToken"]),q0=class extends ut{constructor(){super(...arguments);this.scope=ge.String("-s,--scope",{description:"Logout of the registry configured for a given scope"});this.publish=ge.Boolean("--publish",!1,{description:"Logout of the publish registry"});this.all=ge.Boolean("-A,--all",!1,{description:"Logout of all registries"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),o=async()=>{let n=await tF({configuration:r,cwd:this.context.cwd,publish:this.publish,scope:this.scope}),u=await Ve.find(this.context.cwd,this.context.plugins),A=W.makeIdent(this.scope??null,"pkg");return!Zn.getAuthConfiguration(n,{configuration:u,ident:A}).get("npmAuthToken")};return(await Nt.start({configuration:r,stdout:this.context.stdout},async n=>{if(this.all&&(await jvt(),n.reportInfo(0,"Successfully logged out from everything")),this.scope){await PBe("npmScopes",this.scope),await o()?n.reportInfo(0,`Successfully logged out from ${this.scope}`):n.reportWarning(0,"Scope authentication settings removed, but some other ones settings still apply to it");return}let u=await tF({configuration:r,cwd:this.context.cwd,publish:this.publish});await PBe("npmRegistries",u),await o()?n.reportInfo(0,`Successfully logged out from ${u}`):n.reportWarning(0,"Registry authentication settings removed, but some other ones settings still apply to it")})).exitCode()}};q0.paths=[["npm","logout"]],q0.usage=nt.Usage({category:"Npm-related commands",description:"logout of the npm registry",details:"\n      This command will log you out by modifying your local configuration (in your home folder, never in the project itself) to delete all credentials linked to a registry.\n\n      Adding the `-s,--scope` flag will cause the deletion to be done against whatever registry is configured for the associated scope (see also `npmScopes`).\n\n      Adding the `--publish` flag will cause the deletion to be done against the registry used when publishing the package (see also `publishConfig.registry` and `npmPublishRegistry`).\n\n      Adding the `-A,--all` flag will cause the deletion to be done against all registries and scopes.\n    ",examples:[["Logout of the default registry","yarn npm logout"],["Logout of the @my-scope scope","yarn npm logout --scope my-scope"],["Logout of the publish registry for the current package","yarn npm logout --publish"],["Logout of all registries","yarn npm logout --all"]]});function Hvt(t,e){let r=t[e];if(!je.isIndexableObject(r))return!1;let o=new Set(Object.keys(r));if([...aw].every(n=>!o.has(n)))return!1;for(let n of aw)o.delete(n);if(o.size===0)return t[e]=void 0,!0;let a={...r};for(let n of aw)delete a[n];return t[e]=a,!0}async function jvt(){let t=e=>{let r=!1,o=je.isIndexableObject(e)?{...e}:{};o.npmAuthToken&&(delete o.npmAuthToken,r=!0);for(let a of Object.keys(o))Hvt(o,a)&&(r=!0);if(Object.keys(o).length!==0)return r?o:e};return await Ve.updateHomeConfiguration({npmRegistries:t,npmScopes:t})}async function PBe(t,e){return await Ve.updateHomeConfiguration({[t]:r=>{let o=je.isIndexableObject(r)?r:{};if(!Object.hasOwn(o,e))return r;let a=o[e],n=je.isIndexableObject(a)?a:{},u=new Set(Object.keys(n));if([...aw].every(p=>!u.has(p)))return r;for(let p of aw)u.delete(p);if(u.size===0)return Object.keys(o).length===1?void 0:{...o,[e]:void 0};let A={};for(let p of aw)A[p]=void 0;return{...o,[e]:{...n,...A}}}})}Ye();qt();var G0=class extends ut{constructor(){super(...arguments);this.access=ge.String("--access",{description:"The access for the published package (public or restricted)"});this.tag=ge.String("--tag","latest",{description:"The tag on the registry that the package should be attached to"});this.tolerateRepublish=ge.Boolean("--tolerate-republish",!1,{description:"Warn and exit when republishing an already existing version of a package"});this.otp=ge.String("--otp",{description:"The OTP token to use with the command"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd);if(!a)throw new rr(o.cwd,this.context.cwd);if(a.manifest.private)throw new it("Private workspaces cannot be published");if(a.manifest.name===null||a.manifest.version===null)throw new it("Workspaces must have valid names and versions to be published on an external registry");await o.restoreInstallState();let n=a.manifest.name,u=a.manifest.version,A=Zn.getPublishRegistry(a.manifest,{configuration:r});return(await Nt.start({configuration:r,stdout:this.context.stdout},async h=>{if(this.tolerateRepublish)try{let E=await on.get(on.getIdentUrl(n),{configuration:r,registry:A,ident:n,jsonResponse:!0});if(!Object.hasOwn(E,"versions"))throw new zt(15,'Registry returned invalid data for - missing "versions" field');if(Object.hasOwn(E.versions,u)){h.reportWarning(0,`Registry already knows about version ${u}; skipping.`);return}}catch(E){if(E.originalError?.response?.statusCode!==404)throw E}await un.maybeExecuteWorkspaceLifecycleScript(a,"prepublish",{report:h}),await CA.prepareForPack(a,{report:h},async()=>{let E=await CA.genPackList(a);for(let T of E)h.reportInfo(null,T);let I=await CA.genPackStream(a,E),v=await je.bufferStream(I),b=await sw.getGitHead(a.cwd),C=await sw.makePublishBody(a,v,{access:this.access,tag:this.tag,registry:A,gitHead:b});await on.put(on.getIdentUrl(n),C,{configuration:r,registry:A,ident:n,otp:this.otp,jsonResponse:!0})}),h.reportInfo(0,"Package archive published")})).exitCode()}};G0.paths=[["npm","publish"]],G0.usage=nt.Usage({category:"Npm-related commands",description:"publish the active workspace to the npm registry",details:'\n      This command will pack the active workspace into a fresh archive and upload it to the npm registry.\n\n      The package will by default be attached to the `latest` tag on the registry, but this behavior can be overriden by using the `--tag` option.\n\n      Note that for legacy reasons scoped packages are by default published with an access set to `restricted` (aka "private packages"). This requires you to register for a paid npm plan. In case you simply wish to publish a public scoped package to the registry (for free), just add the `--access public` flag. This behavior can be enabled by default through the `npmPublishAccess` settings.\n    ',examples:[["Publish the active workspace","yarn npm publish"]]});Ye();qt();var SBe=$e(zn());Ye();Pt();qt();var Y0=class extends ut{constructor(){super(...arguments);this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"});this.package=ge.String({required:!1})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n;if(typeof this.package<"u")n=W.parseIdent(this.package);else{if(!a)throw new rr(o.cwd,this.context.cwd);if(!a.manifest.name)throw new it(`Missing 'name' field in ${ue.fromPortablePath(K.join(a.cwd,dr.manifest))}`);n=a.manifest.name}let u=await Rv(n,r),p={children:je.sortMap(Object.entries(u),([h])=>h).map(([h,E])=>({value:de.tuple(de.Type.RESOLUTION,{descriptor:W.makeDescriptor(n,h),locator:W.makeLocator(n,E)})}))};return $s.emitTree(p,{configuration:r,json:this.json,stdout:this.context.stdout})}};Y0.paths=[["npm","tag","list"]],Y0.usage=nt.Usage({category:"Npm-related commands",description:"list all dist-tags of a package",details:`
+      This command will list all tags of a package from the npm registry.
+
+      If the package is not specified, Yarn will default to the current workspace.
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+      This command will add a tag to the npm registry for a specific version of a package. If the tag already exists, it will be overwritten.
+    `,examples:[["Add a `beta` tag for version `2.3.4-beta.4` of package `my-pkg`","yarn npm tag add my-pkg@2.3.4-beta.4 beta"]]});Ye();qt();var V0=class extends ut{constructor(){super(...arguments);this.package=ge.String();this.tag=ge.String()}async execute(){if(this.tag==="latest")throw new it("The 'latest' tag cannot be removed.");let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd);if(!a)throw new rr(o.cwd,this.context.cwd);let n=W.parseIdent(this.package),u=Zn.getPublishRegistry(a.manifest,{configuration:r}),A=de.pretty(r,this.tag,de.Type.CODE),p=de.pretty(r,n,de.Type.IDENT),h=await Rv(n,r);if(!Object.hasOwn(h,this.tag))throw new it(`${A} is not a tag of package ${p}`);return(await Nt.start({configuration:r,stdout:this.context.stdout},async I=>{let v=`/-/package${on.getIdentUrl(n)}/dist-tags/${encodeURIComponent(this.tag)}`;await on.del(v,{configuration:r,registry:u,ident:n,jsonResponse:!0}),I.reportInfo(0,`Tag ${A} removed from package ${p}`)})).exitCode()}};V0.paths=[["npm","tag","remove"]],V0.usage=nt.Usage({category:"Npm-related commands",description:"remove a tag from a package",details:`
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+`,"--",...o],{cwd:t,strict:!0})},async makeReset(t,e){let r=e.map(o=>ue.fromPortablePath(o.path));await Ur.execvp("git",["reset","HEAD","--",...r],{cwd:t,strict:!0})}};var CDt=[HBe],Z0=class extends ut{constructor(){super(...arguments);this.commit=ge.Boolean("-c,--commit",!1,{description:"Commit the staged files"});this.reset=ge.Boolean("-r,--reset",!1,{description:"Remove all files from the staging area"});this.dryRun=ge.Boolean("-n,--dry-run",!1,{description:"Print the commit message and the list of modified files without staging / committing"});this.update=ge.Boolean("-u,--update",!1,{hidden:!0})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o}=await St.find(r,this.context.cwd),{driver:a,root:n}=await wDt(o.cwd),u=[r.get("cacheFolder"),r.get("globalFolder"),r.get("virtualFolder"),r.get("yarnPath")];await r.triggerHook(I=>I.populateYarnPaths,o,I=>{u.push(I)});let A=new Set;for(let I of u)for(let v of IDt(n,I))A.add(v);let p=new Set([r.get("rcFilename"),dr.lockfile,dr.manifest]),h=await a.filterChanges(n,A,p),E=await a.genCommitMessage(n,h);if(this.dryRun)if(this.commit)this.context.stdout.write(`${E}
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u=a.manifest.version;a.manifest.version=n,BA.default.prerelease(n)===null?delete a.manifest.raw.stableVersion:a.manifest.raw.stableVersion||(a.manifest.raw.stableVersion=u);let A=a.manifest.name!==null?W.stringifyIdent(a.manifest.name):null;r.reportInfo(0,`${W.prettyLocator(t.configuration,a.anchoredLocator)}: Bumped to ${n}`),r.reportJson({cwd:ue.fromPortablePath(a.cwd),ident:A,oldVersion:u,newVersion:n});let p=o.get(a);if(!(typeof p>"u"))for(let[h,E,I]of p){let v=h.manifest[E].get(I);if(typeof v>"u")throw new Error("Assertion failed: The dependency should have existed");let b=v.range,C=!1;if(b.startsWith(Xn.protocol)&&(b=b.slice(Xn.protocol.length),C=!0,b===a.relativeCwd))continue;let T=b.match(VDt);if(!T){r.reportWarning(0,`Couldn't auto-upgrade range ${b} (in ${W.prettyLocator(t.configuration,h.anchoredLocator)})`);continue}let L=`${T[1]}${n}`;C&&(L=`${Xn.protocol}${L}`);let U=W.makeDescriptor(v,L);h.manifest[E].set(I,U)}}}var JDt=new Map([["%n",{extract:t=>t.length>=1?[t[0],t.slice(1)]:null,generate:(t=0)=>`${t+1}`}]]);function XBe(t,{current:e,prerelease:r}){let o=new BA.default.SemVer(e),a=o.prerelease.slice(),n=[];o.prerelease=[],o.format()!==t&&(a.length=0);let u=!0,A=r.split(/\./g);for(let p of A){let h=JDt.get(p);if(typeof h>"u")n.push(p),a[0]===p?a.shift():u=!1;else{let E=u?h.extract(a):null;E!==null&&typeof E[0]=="number"?(n.push(h.generate(E[0])),a=E[1]):(n.push(h.generate()),u=!1)}}return o.prerelease&&(o.prerelease=[]),`${t}-${n.join(".")}`}var $0=class extends ut{constructor(){super(...arguments);this.all=ge.Boolean("--all",!1,{description:"Apply the deferred version changes on all workspaces"});this.dryRun=ge.Boolean("--dry-run",!1,{description:"Print the versions without actually generating the package archive"});this.prerelease=ge.String("--prerelease",{description:"Add a prerelease identifier to new versions",tolerateBoolean:!0});this.recursive=ge.Boolean("-R,--recursive",{description:"Release the transitive workspaces as well"});this.json=ge.Boolean("--json",!1,{description:"Format the output as an NDJSON stream"})}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd),n=await Lr.find(r);if(!a)throw new rr(o.cwd,this.context.cwd);await o.restoreInstallState({restoreResolutions:!1});let u=await Nt.start({configuration:r,json:this.json,stdout:this.context.stdout},async A=>{let p=this.prerelease?typeof this.prerelease!="boolean"?this.prerelease:"rc.%n":null,h=await jv(o,{prerelease:p}),E=new Map;if(this.all)E=h;else{let I=this.recursive?a.getRecursiveWorkspaceDependencies():[a];for(let v of I){let b=h.get(v);typeof b<"u"&&E.set(v,b)}}if(E.size===0){let I=h.size>0?" 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+      This command will apply the deferred version changes and remove their definitions from the repository.
+
+      Note that if \`--prerelease\` is set, the given prerelease identifier (by default \`rc.%d\`) will be used on all new versions and the version definitions will be kept as-is.
+
+      By default only the current workspace will be bumped, but you can configure this behavior by using one of:
+
+      - \`--recursive\` to also apply the version bump on its dependencies
+      - \`--all\` to apply the version bump on all packages in the repository
+
+      Note that this command will also update the \`workspace:\` references across all your local workspaces, thus ensuring that they keep referring to the same workspaces even after the version bump.
+    `,examples:[["Apply the version change to the local workspace","yarn version apply"],["Apply the version change to all the workspaces in the local workspace","yarn version apply --all"]]});Ye();Pt();qt();var AF=$e(zn());var eg=class extends ut{constructor(){super(...arguments);this.interactive=ge.Boolean("-i,--interactive",{description:"Open an interactive interface used to set version bumps"})}async execute(){return this.interactive?await this.executeInteractive():await this.executeStandard()}async executeInteractive(){SC(this.context);let{Gem:r}=await Promise.resolve().then(()=>(AQ(),Dj)),{ScrollableItems:o}=await Promise.resolve().then(()=>(gQ(),hQ)),{FocusRequest:a}=await Promise.resolve().then(()=>(Sj(),Xwe)),{useListInput:n}=await Promise.resolve().then(()=>(pQ(),Zwe)),{renderForm:u}=await Promise.resolve().then(()=>(EQ(),yQ)),{Box:A,Text:p}=await Promise.resolve().then(()=>$e(ic())),{default:h,useCallback:E,useState:I}=await Promise.resolve().then(()=>$e(sn())),v=await 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h.createElement(A,{flexDirection:"column"},h.createElement(A,null,h.createElement(p,null,W.prettyLocator(v,ye.anchoredLocator)," - ",De)),h.createElement(A,null,Ee.map(ce=>h.createElement(A,{key:ce,paddingLeft:2},h.createElement(p,null,h.createElement(r,{active:ce===we})," ",ce)))))},J=ye=>{let ae=new Set(T.releaseRoots),we=new Map([...ye].filter(([Pe])=>ae.has(Pe)));for(;;){let Pe=qv({project:T.project,releases:we}),g=!1;if(Pe.length>0){for(let[Ee]of Pe)if(!ae.has(Ee)){ae.add(Ee),g=!0;let De=ye.get(Ee);typeof De<"u"&&we.set(Ee,De)}}if(!g)break}return{relevantWorkspaces:ae,relevantReleases:we}},te=()=>{let[ye,ae]=I(()=>new Map(T.releases)),we=E((Pe,g)=>{let Ee=new Map(ye);g!=="undecided"?Ee.set(Pe,g):Ee.delete(Pe);let{relevantReleases:De}=J(Ee);ae(De)},[ye,ae]);return[ye,we]},le=({workspaces:ye,releases:ae})=>{let we=[];we.push(`${ye.size} total`);let Pe=0,g=0;for(let Ee of ye){let De=ae.get(Ee);typeof De>"u"?g+=1:De!=="decline"&&(Pe+=1)}return we.push(`${Pe} 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repositories");if(u.reportInfo(0,`Your PR was started right after ${de.pretty(r,A.baseHash.slice(0,7),"yellow")} ${de.pretty(r,A.baseTitle,"magenta")}`),A.changedFiles.size>0){u.reportInfo(0,"You have changed the following files since then:"),u.reportSeparator();for(let v of A.changedFiles)u.reportInfo(null,`${de.pretty(r,ue.fromPortablePath(A.root),"gray")}${ue.sep}${ue.relative(ue.fromPortablePath(A.root),ue.fromPortablePath(v))}`)}let p=!1,h=!1,E=cF(A);if(E.size>0){p||u.reportSeparator();for(let v of E)u.reportError(0,`${W.prettyLocator(r,v.anchoredLocator)} has been modified but doesn't have a release strategy attached`);p=!0}let I=qv(A);for(let[v,b]of I)h||u.reportSeparator(),u.reportError(0,`${W.prettyLocator(r,v.anchoredLocator)} doesn't have a release strategy attached, but depends on ${W.prettyWorkspace(r,b)} which is planned for release.`),h=!0;(p||h)&&(u.reportSeparator(),u.reportInfo(0,"This command detected that at least some workspaces have received modifications without 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This check doesn't cross packages that have declined to bump.\n\n      In case no arguments are passed to the function, the list of modified files will be generated by comparing the HEAD against `master`.\n    ",examples:[["Check whether the modified packages need a bump","yarn version check"]]});Ye();qt();var fF=$e(zn());var tg=class extends ut{constructor(){super(...arguments);this.deferred=ge.Boolean("-d,--deferred",{description:"Prepare the version to be bumped during the next release cycle"});this.immediate=ge.Boolean("-i,--immediate",{description:"Bump the version immediately"});this.strategy=ge.String()}async execute(){let r=await Ve.find(this.context.cwd,this.context.plugins),{project:o,workspace:a}=await St.find(r,this.context.cwd);if(!a)throw new rr(o.cwd,this.context.cwd);let n=r.get("preferDeferredVersions");this.deferred&&(n=!0),this.immediate&&(n=!1);let u=fF.default.valid(this.strategy),A=this.strategy==="decline",p;if(u)if(a.manifest.version!==null){let E=JG(a.manifest.version,this.strategy);E!==null?p=E:p=this.strategy}else p=this.strategy;else{let E=a.manifest.version;if(!A){if(E===null)throw new it("Can't bump the version if there wasn't a version to begin with - use 0.0.0 as initial version then run the command again.");if(typeof E!="string"||!fF.default.valid(E))throw new it(`Can't bump the version (${E}) if it's not valid semver`)}p=fw(this.strategy)}if(!n){let I=(await jv(o)).get(a);if(typeof I<"u"&&p!=="decline"){let v=uF(a.manifest.version,p);if(fF.default.lt(v,I))throw new it(`Can't bump the version to one that would be lower than the current deferred one (${I})`)}}let h=await hw(o,{allowEmpty:!0});return h.releases.set(a,p),await h.saveAll(),n?0:await this.cli.run(["version","apply"])}};tg.paths=[["version"]],tg.usage=nt.Usage({category:"Release-related commands",description:"apply a new version to the current package",details:"\n      This command will bump the version number for the given package, following the specified strategy:\n\n      - If `major`, the first number from the semver range will be increased (`X.0.0`).\n      - If `minor`, the second number from the semver range will be increased (`0.X.0`).\n      - If `patch`, the third number from the semver range will be increased (`0.0.X`).\n      - If prefixed by `pre` (`premajor`, ...), a `-0` suffix will be set (`0.0.0-0`).\n      - If `prerelease`, the suffix will be increased (`0.0.0-X`); 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Various flags can alter the exact behavior of the command:\n\n      - If `-p,--parallel` is set, the commands will be ran in parallel; they'll by default be limited to a number of parallel tasks roughly equal to half your core number, but that can be overridden via `-j,--jobs`, or disabled by setting `-j unlimited`.\n\n      - If `-p,--parallel` and `-i,--interlaced` are both set, Yarn will print the lines from the output as it receives them. If `-i,--interlaced` wasn't set, it would instead buffer the output from each process and print the resulting buffers only after their source processes have exited.\n\n      - If `-t,--topological` is set, Yarn will only run the command after all workspaces that it depends on through the `dependencies` field have successfully finished executing. 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By default Yarn will use the refs specified by the `changesetBaseRefs` configuration option.\n\n      - If `--dry-run` is set, Yarn will explain what it would do without actually doing anything.\n\n      - The command may apply to only some workspaces through the use of `--include` which acts as a whitelist. The `--exclude` flag will do the opposite and will be a list of packages that mustn't execute the script. Both flags accept glob patterns (if valid Idents and supported by [micromatch](https://github.com/micromatch/micromatch)). Make sure to escape the patterns, to prevent your own shell from trying to expand them.\n\n      Adding the `-v,--verbose` flag (automatically enabled in interactive terminal environments) will cause Yarn to print more information; in particular the name of the workspace that generated the output will be printed at the front of each line.\n\n      If the command is `run` and the script being run does not exist the child workspace will be skipped without error.\n    ",examples:[["Publish all packages","yarn workspaces foreach -A npm publish --tolerate-republish"],["Run the build script on all descendant packages","yarn workspaces foreach -A run build"],["Run the build script on current and all descendant packages in parallel, building package dependencies first","yarn workspaces foreach -Apt run build"],["Run the build script on several packages and all their dependencies, building dependencies first","yarn workspaces foreach -Rpt --from '{workspace-a,workspace-b}' run build"]]}),op.schema=[lI("all",Gu.Forbids,["from","recursive","since","worktree"],{missingIf:"undefined"}),UR(["all","recursive","since","worktree"],{missingIf:"undefined"})];function ZBe(t,{prefix:e,interlaced:r}){let o=t.createStreamReporter(e),a=new je.DefaultStream;a.pipe(o,{end:!1}),a.on("finish",()=>{o.end()});let n=new Promise(A=>{o.on("finish",()=>{A(a.active)})});if(r)return[a,n];let u=new je.BufferStream;return u.pipe(a,{end:!1}),u.on("finish",()=>{a.end()}),[u,n]}function ZDt(t,{configuration:e,commandIndex:r,verbose:o}){if(!o)return null;let n=`[${W.stringifyIdent(t.anchoredLocator)}]:`,u=["#2E86AB","#A23B72","#F18F01","#C73E1D","#CCE2A3"],A=u[r%u.length];return de.pretty(e,n,A)}var $Dt={commands:[rg,op]},ePt=$Dt;var fC=()=>({modules:new Map([["@yarnpkg/cli",o2],["@yarnpkg/core",s2],["@yarnpkg/fslib",Vw],["@yarnpkg/libzip",x1],["@yarnpkg/parsers",tI],["@yarnpkg/shell",T1],["clipanion",pI],["semver",tPt],["typanion",Ko],["@yarnpkg/plugin-essentials",tH],["@yarnpkg/plugin-compat",oH],["@yarnpkg/plugin-constraints",BH],["@yarnpkg/plugin-dlx",vH],["@yarnpkg/plugin-exec",SH],["@yarnpkg/plugin-file",bH],["@yarnpkg/plugin-git",eH],["@yarnpkg/plugin-github",FH],["@yarnpkg/plugin-http",TH],["@yarnpkg/plugin-init",RH],["@yarnpkg/plugin-interactive-tools",Lj],["@yarnpkg/plugin-link",Mj],["@yarnpkg/plugin-nm",Cq],["@yarnpkg/plugin-npm",EG],["@yarnpkg/plugin-npm-cli",xG],["@yarnpkg/plugin-pack",hG],["@yarnpkg/plugin-patch",NG],["@yarnpkg/plugin-pnp",lq],["@yarnpkg/plugin-pnpm",OG],["@yarnpkg/plugin-stage",YG],["@yarnpkg/plugin-typescript",WG],["@yarnpkg/plugin-version",XG],["@yarnpkg/plugin-workspace-tools",ZG]]),plugins:new Set(["@yarnpkg/plugin-essentials","@yarnpkg/plugin-compat","@yarnpkg/plugin-constraints","@yarnpkg/plugin-dlx","@yarnpkg/plugin-exec","@yarnpkg/plugin-file","@yarnpkg/plugin-git","@yarnpkg/plugin-github","@yarnpkg/plugin-http","@yarnpkg/plugin-init","@yarnpkg/plugin-interactive-tools","@yarnpkg/plugin-link","@yarnpkg/plugin-nm","@yarnpkg/plugin-npm","@yarnpkg/plugin-npm-cli","@yarnpkg/plugin-pack","@yarnpkg/plugin-patch","@yarnpkg/plugin-pnp","@yarnpkg/plugin-pnpm","@yarnpkg/plugin-stage","@yarnpkg/plugin-typescript","@yarnpkg/plugin-version","@yarnpkg/plugin-workspace-tools"])});function rve({cwd:t,pluginConfiguration:e}){let r=new as({binaryLabel:"Yarn Package Manager",binaryName:"yarn",binaryVersion:tn??"<unknown>"});return Object.assign(r,{defaultContext:{...as.defaultContext,cwd:t,plugins:e,quiet:!1,stdin:process.stdin,stdout:process.stdout,stderr:process.stderr}})}function rPt(t){if(je.parseOptionalBoolean(process.env.YARN_IGNORE_NODE))return!0;let r=process.versions.node,o=">=18.12.0";if(kr.satisfiesWithPrereleases(r,o))return!0;let a=new it(`This tool requires a Node version compatible with ${o} (got ${r}). Upgrade Node, or set \`YARN_IGNORE_NODE=1\` in your environment.`);return as.defaultContext.stdout.write(t.error(a)),!1}async function nve({selfPath:t,pluginConfiguration:e}){return await Ve.find(ue.toPortablePath(process.cwd()),e,{strict:!1,usePathCheck:t})}function nPt(t,e,{yarnPath:r}){if(!oe.existsSync(r))return t.error(new Error(`The "yarn-path" option has been set, but the specified location doesn't exist (${r}).`)),1;process.on("SIGINT",()=>{});let o={stdio:"inherit",env:{...process.env,YARN_IGNORE_PATH:"1"}};try{(0,eve.execFileSync)(process.execPath,[ue.fromPortablePath(r),...e],o)}catch(a){return a.status??1}return 0}function iPt(t,e){let r=null,o=e;return e.length>=2&&e[0]==="--cwd"?(r=ue.toPortablePath(e[1]),o=e.slice(2)):e.length>=1&&e[0].startsWith("--cwd=")?(r=ue.toPortablePath(e[0].slice(6)),o=e.slice(1)):e[0]==="add"&&e[e.length-2]==="--cwd"&&(r=ue.toPortablePath(e[e.length-1]),o=e.slice(0,e.length-2)),t.defaultContext.cwd=r!==null?K.resolve(r):K.cwd(),o}function sPt(t,{configuration:e}){if(!e.get("enableTelemetry")||tve.isCI||!process.stdout.isTTY)return;Ve.telemetry=new cC(e,"puba9cdc10ec5790a2cf4969dd413a47270");let o=/^@yarnpkg\/plugin-(.*)$/;for(let a of e.plugins.keys())uC.has(a.match(o)?.[1]??"")&&Ve.telemetry?.reportPluginName(a);t.binaryVersion&&Ve.telemetry.reportVersion(t.binaryVersion)}function ive(t,{configuration:e}){for(let r of e.plugins.values())for(let o of r.commands||[])t.register(o)}async function oPt(t,e,{selfPath:r,pluginConfiguration:o}){if(!rPt(t))return 1;let a=await nve({selfPath:r,pluginConfiguration:o}),n=a.get("yarnPath"),u=a.get("ignorePath");if(n&&!u)return nPt(t,e,{yarnPath:n});delete process.env.YARN_IGNORE_PATH;let A=iPt(t,e);sPt(t,{configuration:a}),ive(t,{configuration:a});let p=t.process(A,t.defaultContext);return p.help||Ve.telemetry?.reportCommandName(p.path.join(" ")),await t.run(p,t.defaultContext)}async function the({cwd:t=K.cwd(),pluginConfiguration:e=fC()}={}){let r=rve({cwd:t,pluginConfiguration:e}),o=await nve({pluginConfiguration:e,selfPath:null});return ive(r,{configuration:o}),r}async function sk(t,{cwd:e=K.cwd(),selfPath:r,pluginConfiguration:o}){let a=rve({cwd:e,pluginConfiguration:o});try{process.exitCode=await oPt(a,t,{selfPath:r,pluginConfiguration:o})}catch(n){as.defaultContext.stdout.write(a.error(n)),process.exitCode=1}finally{await oe.rmtempPromise()}}sk(process.argv.slice(2),{cwd:K.cwd(),selfPath:ue.toPortablePath(ue.resolve(process.argv[1])),pluginConfiguration:fC()});})();
+/*
+object-assign
+(c) Sindre Sorhus
+@license MIT
+*/
+/*!
+ * buildToken
+ * Builds OAuth token prefix (helper function)
+ *
+ * @name buildToken
+ * @function
+ * @param {GitUrl} obj The parsed Git url object.
+ * @return {String} token prefix
+ */
+/*!
+ * fill-range <https://github.com/jonschlinkert/fill-range>
+ *
+ * Copyright (c) 2014-present, Jon Schlinkert.
+ * Licensed under the MIT License.
+ */
+/*!
+ * is-extglob <https://github.com/jonschlinkert/is-extglob>
+ *
+ * Copyright (c) 2014-2016, Jon Schlinkert.
+ * Licensed under the MIT License.
+ */
+/*!
+ * is-glob <https://github.com/jonschlinkert/is-glob>
+ *
+ * Copyright (c) 2014-2017, Jon Schlinkert.
+ * Released under the MIT License.
+ */
+/*!
+ * is-number <https://github.com/jonschlinkert/is-number>
+ *
+ * Copyright (c) 2014-present, Jon Schlinkert.
+ * Released under the MIT License.
+ */
+/*!
+ * is-windows <https://github.com/jonschlinkert/is-windows>
+ *
+ * Copyright © 2015-2018, Jon Schlinkert.
+ * Released under the MIT License.
+ */
+/*!
+ * to-regex-range <https://github.com/micromatch/to-regex-range>
+ *
+ * Copyright (c) 2015-present, Jon Schlinkert.
+ * Released under the MIT License.
+ */
+/**
+  @license
+  Copyright (c) 2015, Rebecca Turner
+
+  Permission to use, copy, modify, and/or distribute this software for any
+  purpose with or without fee is hereby granted, provided that the above
+  copyright notice and this permission notice appear in all copies.
+
+  THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH
+  REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND
+  FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT,
+  INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM
+  LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR
+  OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR
+  PERFORMANCE OF THIS SOFTWARE.
+ */
+/**
+  @license
+  Copyright Joyent, Inc. and other Node contributors.
+
+  Permission is hereby granted, free of charge, to any person obtaining a
+  copy of this software and associated documentation files (the
+  "Software"), to deal in the Software without restriction, including
+  without limitation the rights to use, copy, modify, merge, publish,
+  distribute, sublicense, and/or sell copies of the Software, and to permit
+  persons to whom the Software is furnished to do so, subject to the
+  following conditions:
+
+  The above copyright notice and this permission notice shall be included
+  in all copies or substantial portions of the Software.
+
+  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
+  OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
+  MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN
+  NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM,
+  DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR
+  OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE
+  USE OR OTHER DEALINGS IN THE SOFTWARE.
+*/
+/**
+  @license
+  Copyright Node.js contributors. All rights reserved.
+
+  Permission is hereby granted, free of charge, to any person obtaining a copy
+  of this software and associated documentation files (the "Software"), to
+  deal in the Software without restriction, including without limitation the
+  rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+  sell copies of the Software, and to permit persons to whom the Software is
+  furnished to do so, subject to the following conditions:
+
+  The above copyright notice and this permission notice shall be included in
+  all copies or substantial portions of the Software.
+
+  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+  IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+  FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+  AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+  LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
+  FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
+  IN THE SOFTWARE.
+*/
+/**
+  @license
+  The MIT License (MIT)
+
+  Copyright (c) 2014 Blake Embrey (hello@blakeembrey.com)
+
+  Permission is hereby granted, free of charge, to any person obtaining a copy
+  of this software and associated documentation files (the "Software"), to deal
+  in the Software without restriction, including without limitation the rights
+  to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+  copies of the Software, and to permit persons to whom the Software is
+  furnished to do so, subject to the following conditions:
+
+  The above copyright notice and this permission notice shall be included in
+  all copies or substantial portions of the Software.
+
+  THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+  IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+  FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+  AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+  LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+  OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+  THE SOFTWARE.
+*/
+/** @license React v0.18.0
+ * scheduler.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+/** @license React v0.24.0
+ * react-reconciler.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
+/** @license React v16.13.1
+ * react.production.min.js
+ *
+ * Copyright (c) Facebook, Inc. and its affiliates.
+ *
+ * This source code is licensed under the MIT license found in the
+ * LICENSE file in the root directory of this source tree.
+ */
diff --git a/graphrag/docsite/.yarn/sdks/integrations.yml b/graphrag/docsite/.yarn/sdks/integrations.yml
new file mode 100644
index 0000000000000000000000000000000000000000..aa9d0d0ad81a4dfefda7bee1ba2c691b51d7973f
--- /dev/null
+++ b/graphrag/docsite/.yarn/sdks/integrations.yml
@@ -0,0 +1,5 @@
+# This file is automatically generated by @yarnpkg/sdks.
+# Manual changes might be lost!
+
+integrations:
+  - vscode
diff --git a/graphrag/docsite/.yarnrc.yml b/graphrag/docsite/.yarnrc.yml
new file mode 100644
index 0000000000000000000000000000000000000000..42f1e2ebfa55205019c877bf78b5f478478d9af9
--- /dev/null
+++ b/graphrag/docsite/.yarnrc.yml
@@ -0,0 +1,7 @@
+compressionLevel: mixed
+
+enableGlobalCache: false
+
+nodeLinker: pnp
+
+yarnPath: .yarn/releases/yarn-4.0.2.cjs
diff --git a/graphrag/docsite/_includes/page.css b/graphrag/docsite/_includes/page.css
new file mode 100644
index 0000000000000000000000000000000000000000..416ac89e3d858dc13fb240963c01e4777ac4219c
--- /dev/null
+++ b/graphrag/docsite/_includes/page.css
@@ -0,0 +1,115 @@
+html {
+    padding: 0;
+    margin: 0;
+}
+
+body{
+    font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
+    padding: 0;
+    margin: 0;
+}
+
+footer{
+    width: 100%;
+	height: 32px;
+	font-size: 12px;
+	display: flex;
+	flex-direction: row;
+	justify-content: center;
+	gap: 18px;
+	align-items: center;
+	color: #5d5d5d;
+	background: #e9eaeb;
+	border-top: 1px solid #c4c5c6;
+}
+
+#cookiesManager{
+    cursor: pointer;
+    color: #485fc7;
+}
+
+.page-content {
+    display: flex;
+    flex-direction: row;
+    margin: 0;
+    padding: 0;
+    overflow: scroll;
+    padding: 0;
+    margin: 0;
+}
+
+header {
+    background-color: lightgrey;
+    height: 2%;
+    padding: 10px;
+}
+
+nav {
+    padding: 1em;
+    min-width: 200px;
+}
+
+main {
+    flex: 1;
+    padding: 0 5em 0 5em;
+}
+
+.logotitle {
+    font-size: 1.5em;
+    font-weight: bold;
+    margin: 5px;
+}
+
+.number {
+    all: unset;
+}
+
+.tag.token {
+    all: unset;
+}
+
+main ul {
+    list-style-type: disc;
+    padding-left: 30px;
+    margin-top: 10px;
+}
+
+h1 {
+    font-size: 2rem;
+    margin-top: 10px;
+}
+
+h2 {
+    font-size: 1.5rem;
+    margin-top: 10px;
+    font-weight: 500;
+}
+
+h3 {
+    font-size: 1rem;
+    margin-top: 10px; 
+    font-weight: 500;
+}
+p {
+    margin-top: 10px;
+}
+
+/* Accessibility styling */
+
+a {
+    color: #485fc7;
+    text-decoration: underline;
+}
+
+.menu-list a {
+    text-decoration: none;
+}
+
+
+.token.comment, .token.prolog, .token.doctype, .token.cdata {
+    color: #8093a5;
+}
+
+.token.property, .token.tag, .token.constant, .token.symbol, .token.deleted {
+    color: #ff36ab;
+}
\ No newline at end of file
diff --git a/graphrag/docsite/_includes/page.njk b/graphrag/docsite/_includes/page.njk
new file mode 100644
index 0000000000000000000000000000000000000000..b6f57bc96f9843c6012fffd41b376abda912a0f4
--- /dev/null
+++ b/graphrag/docsite/_includes/page.njk
@@ -0,0 +1,164 @@
+---
+title: GraphRAG
+---
+{% set css %}
+{% include "page.css" %}
+{% endset %}
+
+{% macro link_to(url, text) %}
+<a href="{{url}}"{% if page.url == url %} class="is-active" aria-current="page"{% endif %}>{{text}}</a>
+{% endmacro %}
+
+<!doctype html>
+<html lang="en">
+  <head>
+    <meta charset="utf-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>{{ title }}</title>
+    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bulma@0.9.4/css/bulma.min.css">
+    <link href="https://unpkg.com/prismjs@1.20.0/themes/prism-okaidia.css" rel="stylesheet">
+    <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Primer/19.1.1/tooltips.min.css" crossorigin="anonymous" referrerpolicy="no-referrer" />
+    <style>{{ css | safe }}</style>
+    {% mermaid_js %}
+    {% initClipboardJS %}
+
+    {% block js %}
+    <script src="https://wcpstatic.microsoft.com/mscc/lib/v2/wcp-consent.js" type="text/javascript"></script>
+    <script>
+        function onConsentChanged(categoryPreferences) {
+            console.log("onConsentChanged", categoryPreferences);        
+        }
+
+        var siteConsent
+
+        function initialize(){
+          var currentYear = new Date().getFullYear()
+          document.getElementById("copyright").innerHTML = `©️ ${currentYear} Microsoft`;
+          window.WcpConsent && WcpConsent.init("en-US", "cookie-banner", function (err, _siteConsent) {
+              if (!err) {
+                  siteConsent = _siteConsent;  //siteConsent is used to get the current consent  
+              } else {
+                  console.log("Error initializing WcpConsent: "+ err);
+              }
+          }, onConsentChanged, WcpConsent.themes.light);
+        }
+
+        addEventListener("DOMContentLoaded", initialize)
+        addEventListener("DOMContentLoaded", checkCookieManager)
+
+        function checkCookieManager(){
+          if(siteConsent.isConsentRequired){
+            document.getElementById("cookiesManager").style.display = 'block';
+            document.getElementById("divider").style.display = 'block';
+          }
+          else{
+            document.getElementById("cookiesManager").style.display = 'none';
+            document.getElementById("divider").style.display = 'none';
+          }
+        }
+
+        function manageConsent() {
+        if(siteConsent.isConsentRequired){
+            siteConsent.manageConsent();
+        }
+    }
+    </script>
+    {% endblock %}
+  </head>
+  <body>
+    <header>
+        <div id="cookie-banner"></div>
+        <a href="/"><span class="logotitle">GraphRAG</span></a>
+    </header>
+    <div class="page-content">
+        <!-- Sidebar -->
+        <aside class="menu">
+          <ul class="menu-list">
+            <li>
+              {{link_to("/", "Welcome")}}
+            </li>
+
+            <!-- Get Started Links -->
+            <li>
+              {{link_to("/posts/get_started/", "Get Started")}}
+              {{link_to("/posts/developing/", "Developing")}}
+            </li>
+
+            <!-- Indexing Links -->
+            <li>
+                {{link_to("/posts/index/overview/", "Indexing")}}
+                <ul>
+                  {%- for post in collections.indexing -%}
+                  <li>{{link_to(post.url, post.data.navtitle)}}</li>
+                  {%- endfor -%}
+
+                  <li>
+                    {{link_to("/posts/config/overview/", "Configuration")}}
+                    <ul>
+                      <li>{{link_to("/posts/config/init", "Init command")}}</li>
+                      <li>{{link_to("/posts/config/env_vars", "Using Env Vars")}}</li>
+                      <li>{{link_to("/posts/config/json_yaml", "Using JSON or YAML")}}</li>
+                      <li>{{link_to("/posts/config/custom", "Fully Custom")}}</li>
+                      <li>{{link_to("/posts/config/template", "Template")}}</li>
+                    </ul>
+                  </li>
+
+                  <li>
+                    {{link_to("/posts/prompt_tuning/overview/", "Prompt Tuning")}}
+                    <ul>
+                        <li>
+                            {{link_to("/posts/prompt_tuning/auto_prompt_tuning/", "Automatic Templating")}}
+                        </li>
+                        <li>
+                            {{link_to("/posts/prompt_tuning/manual_prompt_tuning/", "Manual Prompt Tuning")}}
+                        </li>
+                    </ul>
+                  </li>
+                </ul>
+            </li>
+            
+
+            <!-- Query Links -->
+            <li>
+              {{link_to("/posts/query/overview/", "Query")}}
+              <ul>
+                {%- for post in collections.orchestration -%}
+                <li>{{link_to(post.url, post.data.navtitle)}}</li>
+                {%- endfor -%}
+                <li>
+                  {{link_to("/posts/query/notebooks/overview/", "Notebooks")}}
+                  <ul>
+                    <li>{{link_to("/posts/query/notebooks/global_search_nb", "Global Search")}}</li>
+                    <li>{{link_to("/posts/query/notebooks/local_search_nb", "Local Search")}}</li>
+                  </ul>
+                </li>
+            </ul>
+            </li>
+          </ul>
+        </aside>
+
+        <!-- Main Content -->
+        <main>
+            <h1>{{title}}</h1>
+            {{ content | safe }}
+        </main>
+    </div>
+    <footer>
+      <a href="https://go.microsoft.com/fwlink/?LinkId=521839">Privacy</a>
+      |
+      <a href="https://go.microsoft.com/fwlink/?LinkId=2259814">Consumer Health Privacy</a>
+      |
+      <span id="cookiesManager" onClick="manageConsent();">Cookies</span>
+      <span id="divider">|</span>
+      <a href="https://go.microsoft.com/fwlink/?LinkID=206977">Terms of Use</a>
+      |
+      <a href="https://www.microsoft.com/trademarks">Trademarks</a>
+      |
+      <a href="https://www.microsoft.com" id="copyright"></a>
+      |
+      <a href="https://github.com/microsoft/graphrag">GitHub</a>
+      |
+      <a href="https://github.com/Azure-Samples/graphrag-accelerator">Solution Accelerator</a>
+    </footer>    
+  </body>
+</html>
\ No newline at end of file
diff --git a/graphrag/docsite/data/operation_dulce/ABOUT.md b/graphrag/docsite/data/operation_dulce/ABOUT.md
new file mode 100644
index 0000000000000000000000000000000000000000..272d3bf6368ef58a1425238ca22c1c36260080a6
--- /dev/null
+++ b/graphrag/docsite/data/operation_dulce/ABOUT.md
@@ -0,0 +1,3 @@
+# About
+
+This document (Operation Dulce) is an AI-generated science fiction novella, included here for the purposes of integration testing.
\ No newline at end of file
diff --git a/graphrag/docsite/data/operation_dulce/Operation Dulce v2 1 1.md b/graphrag/docsite/data/operation_dulce/Operation Dulce v2 1 1.md
new file mode 100644
index 0000000000000000000000000000000000000000..95c9e3cd3af76b570f0550d69b2025d7cd6fafbb
--- /dev/null
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+# Operation: Dulce
+
+## Chapter 1
+
+The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce.
+
+“I assume, Agent Mercer, you’re not having second thoughts?” It was Taylor Cruz’s voice, laced with an edge that demanded attention.
+
+Alex flickered a strained smile, still thumbing his folder's corner. "Of course not, Agent Cruz. Just trying to soak in all the details." The compliance in his tone was unsettling, even to himself.
+
+Jordan Hayes, perched on the opposite side of the table, narrowed their eyes but offered a supportive nod. "Details are imperative. We’ll need your clear-headedness down there, Mercer."
+
+A comfortable silence, the kind that threaded between veterans of shared secrets, lingered briefly before Sam Rivera, never one to submit to quiet, added, "I’ve combed through the last transmission logs. If anyone can make sense of the anomalies, it’s going to be the two of you."
+
+Taylor snorted dismissively. “Focus, people. We have protocols for a reason. Speculation is counter-productive.” The words 'counter-productive' seemed to hang in the air, a tacit reprimand directed at Alex.
+
+Feeling the weight of his compliance conflicting with his natural inclination to leave no stone unturned, Alex straightened in his seat. "I agree, Agent Cruz. Protocol is paramount," he said, meeting Taylor's steely gaze. It was an affirmation, but beneath it lay layers of unspoken complexities that would undoubtedly unwind with time.
+
+Alex's submission, though seemingly complete, didn't escape Jordan, who tilted their head ever so slightly, their eyes revealing a spark of understanding. They knew well enough the struggle of aligning personal convictions with overarching missions. As everyone began to collect their binders and prepare for departure, a quiet resolve took form within Alex, galvanized by the groundwork laid by their interactions. He may have spoken in compliance, but his determination had merely taken a subtler form — one that wouldn't surrender so easily to the forthcoming shadows.
+
+\*
+
+Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive."
+
+A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic."
+
+Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. 
+
+Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field.
+
+The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._
+
+As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come.
+
+\*
+
+A deserted corridor inside the facility stretched before Taylor Cruz, each footstep rhythmic and precise. Cruz, ambitious and meticulous, eyed the troops passing by with a sardonic tilt of the lips. Obedience—it was as much a tool as any weapon in the arsenal, and Cruz wielded it masterfully. To them, it was another step toward unfettered power within the dark bowels of the military complex.
+
+Inside a secluded equipment bay, Cruz began checking over gear with mechanical efficiency. They traced fingers over the sleek surface of an encrypted radio transmitter. "If protocols are maintained," said Cruz aloud, rehearsing the speech for their subordinates, "not only will we re-establish a line of communication with Dulce, but we shall also illuminate the darkest secrets it conceals."
+
+Agent Hayes appeared in the doorway, arms crossed and a knowing glint in their eyes. "You do understand," Jordan began, the words measured and probing, "that once we're in the depths, rank gives way to survival instincts. It's not about commands—it's empowerment through trust."
+
+The sentiment snagged on Cruz's armor of confidence, probing at the insecurities festering beneath. Taylor offered a brief nod, perhaps too curt, but enough to acknowledge Jordan's point without yielding ground. "Trust," Cruz mused, "or the illusion thereof, is just as potent."
+
+Silence claimed the space between them, steeped in the reality of the unknown dangers lurking in the shadows of the mission. Cruz diligently returned to the equipment, the act a clear dismissal.
+
+Not much later, Cruz stood alone, the hollow echo of the bay a stark reminder of the isolation that power often wrought. With each checked box, their resolve steeled further, a silent vow to usher their team through the abyss—whatever it might hold—and emerge enshrined in the respect they so deeply craved.
+
+## Chapter 2
+
+Sam Rivera sat alone in a cramped office, the hum of a dozen servers murmuring a digital lullaby in the background. Surrounded by the glow of multiple screens, their eyes danced across lines of code and intercepted comm signals from Dulce — a kaleidoscope of data that their curious and isolated mind hungered to decrypt.
+
+To an outsider, it might have looked like obsession, this fervent quest for answers. But to Sam, it was a dance — a give and take with the mysteries of the universe. Their fingers paused over the keyboard as they leaned back in the chair, whispering to thin air, "What secrets are you hiding from us?"
+
+The stillness of the room broke with the unexpected arrival of Alex Mercer, whose encroaching shadow loomed over Sam's workspace. The cybersecurity expert craned their neck upwards, met by the ever-so-slight furrow in Alex's brow. "Got a minute, Rivera?"
+
+"Always," Sam said, a smile surfacing as they swiveled to face their mentor more directly. _He has that look — like something's not sitting right with him,_ they noted inwardly.
+
+Alex hesitated, weighing his words carefully. "Our tech is top-tier, but the silence from Dulce... It's not just technology that will see us through, it's intuition and... trust." His gaze pierced through the digital haze, trying to instill something more profound than advice.
+
+Sam regarded Alex for a moment, the sincerity in his voice resonating with their own unspoken desire to prove their worth. "Intuition," they mirrored thoughtfully. "I guess sometimes the numbers don't have all the answers."
+
+Their shared silence held a newfound understanding, a recognition that between the ones and zeros, it was their combined human insights that might prevail against the impossible. As Alex turned to leave, Sam's eyes drifted back to the screens, now seeing them not as barriers to isolate behind, but as windows into the vast and enigmatic challenge that awaited their team.
+
+Outside the office, the persistent buzz of activity in the facility belied the unease that gripped its inhabitants. A restlessness that nibbled on the edges of reality, as though forewarning of the threshold they were soon to cross — from the known into the realm of cosmic secrets and silent threats.
+
+\*
+
+Shadows played against the walls of the cramped underground meeting room, where Alex Mercer stood gazing at the concealed elevator that would deliver them into the bowels of Dulce base. The air was thick, every breath laced with the weight of impending confrontation, the kind one feels when stepping into a legend. Though armed with an array of advanced weaponry and gear, there was an unshakeable sense that they were delving into a conflict where the physical might be of little consequence.
+
+"I know what you're thinking," Jordan Hayes remarked, approaching Mercer. Their voice was low, a blend of confidence and hidden apprehension. "This feels like more than a rescue or reconnaissance mission, doesn't it?"
+
+Alex turned, his features a mask of uneasy resolve. "It's like we're being pulled into someone else’s game. Not just observers or participants, but... pawns."
+
+Jordan gave a short nod, their analytical mind colliding with the uncertain dynamics of this operation. "I've felt that way since the briefing. Like there's a layer we’re not seeing. And yet, we have no choice but to play along." Their eyes locked with Alex's, silently exchanging a vow to remain vigilant.
+
+"You two need to cut the philosophical chatter. We have positions to secure," Taylor Cruz interjected sharply, stepping into their exchange. The authority in Taylor's voice brooked no argument; it was their way of pulling everyone back to the now.
+
+Alex's response was measured, more assertive than moments ago. "Acknowledged, Agent Cruz," he replied, his voice steadier, mirroring the transformation brewing within. He gripped his rifle with a newfound firmness. "Let's proceed."
+
+As they congregated at the elevator, a tension palpable, Sam Rivera piped in with a tone of balanced levity, "Hope everyone’s brought their good luck charms. Something tells me we’re going to need all the help we can get."
+
+Their laughter served as a brief respite from the gravity of their mission, a shared moment that reinforced their common humanity amidst the unknowable. Then, as one, they stepped into the elevator. The doors closed with a silent hiss, and they descended into the darkness together, aware that when they returned, if they returned, none of them would be the same.
+
+\*
+
+The sense of foreboding hung heavier than the darkness that the artificial lights of the elevator shaft failed to fully penetrate. The team was descending into the earth, carrying with them not only the weight of their equipment but also the silent pressure of the invisible war they were about to fight—a war that seemed to edge away from physicality and into the unnervingly psychological.
+
+As they descended, Dr. Jordan Hayes couldn't help but muse over the layers of data that could wait below, now almost longing for the comfort of empirical evidence. _To think that this reluctance to accept other possibilities may have been my biggest blind spot,_ Jordan contemplated, feeling the hard shell of skepticism begin to crack.
+
+Alex caught Jordan's reflective gaze and leaned in, his voice barely a murmur over the hum of the elevator. "Once we're down there, keep that analytical edge sharp. You see through the mazes of the unexplained better than anyone."
+
+The compliment was unexpected and weighed differently than praise from others. This was an acknowledgment from someone who stood on the front lines of the unknown with eyes wide open. "Thank you, Alex," Jordan said, the words carrying a trace of newfound assertiveness. "You can count on me."
+
+The exchange was cut short by a shudder that ran through the elevator, subtle, but enough to make them instinctively hold their breaths. It wasn't the mechanical stutter of old gears but a vibration that seemed to emanate from the very walls of the shaft—a whisper of something that defied natural explanation.
+
+Cruz was the first to react, all business despite the shadow that crossed their expression. "Systems check. Now," they barked out, masking the moment of disquiet with swift command.
+
+Every agent checked their gear, sending confirmation signals through their comms, creating a chorus of electronic beeps that promised readiness. But there was an unspoken question among them: was their technology, their weaponry, their protocols sufficient for what awaited them or merely a fragile comfort?
+
+Against the gravity of the silence that was once again closing in, Sam's voice crackled through, only half-jest. "I'd laugh if we run into Martians playing poker down there—just to lighten the mood, you know?"
+
+Despite—or perhaps because of—the oddity of the moment, this elicited a round of chuckles, an audible release of tension that ran counterpoint to the undercurrent of anxiety coursing through the team.
+
+As the elevator came to a halting, eerie calm at the sub-level, the group stepped off, finding themselves at the threshold of Dulce's mysterious halls. They stood in a tight pack, sharing a cautious glance before fanning out into the unknown, each one acutely aware that the truth was inevitably intertwined with danger.
+
+Into the depths of Dulce, the team advanced, their silence now a shared testament to the camaraderie born of facing the abyss together—and the steel resolve to uncover whatever horrors lay hidden in its shadows.
+
+\*
+
+The weight of the thick metal door closing behind them reverberated through the concrete hallway, marking the final threshold between the familiar world above and the strangeness that lay beneath. Dulce base, a name that had been whispered in the wind-blown deserts above and in the shadowed corners of conspiracy forums, now a tangible cold reality that they could touch — and that touched them back with a chill.
+
+Like lambs led to an altar of alien deities, so did Agents Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera proceed, their movements measured, their senses heightened. The air was still, almost respectful of the gravity of their presence. Their torch beams sliced through the darkness, uncovering steel doors with warnings that spoke of top secrets and mortal dangers.
+
+Taylor Cruz, stepping firmly into the role of de facto leader, set a brisk pace. "Eyes sharp, people. Comms check, every thirty seconds," Taylor ordered, their voice echoing slightly before being swallowed by the surrounding silence.
+
+Sam, fiddling with a handheld device aimed at detecting electronic anomalies, offered a murmured "Copy that," their usual buoyancy dimmed by the oppressive atmosphere.
+
+It was Jordan Hayes who paused at an innocuous looking panel, nondescript amongst the gauntlet of secured doorways. "Mercer, Rivera, come see this," Jordan’s voice was marked with a rare hint of urgency.
+
+Alex joined Jordan's side, examining the panel which, at a mere glance, seemed just another part of the base's infrastructure. Yet, to the trained eye, it appeared out of place—a facade.
+
+Jordan explained their reasoning as Sam approached, instinctively understanding the significance of what lay beneath, "This panel is a recent addition — covering something they didn't want found."
+
+Before Alex could respond, the soft whir of an approaching drone cut through their muffled exchange. Taylor had looped back upon hearing the commotion. "Explanations later. We can't afford to attract..." Cruz’s voice trailed off as the small airborne device came into view, its sensors locked onto the group.
+
+Sam was the first to react, their tech-savvy mind already steps ahead. "I've got this," they declared, fingers flying over the controls of their own gadgetry to ward off the impending threat.
+
+The drone lingered, its scan seeming more curious than hostile. But within moments, courtesy of Sam's interference, the little sentinel drifted away, retreating into the shadows as if accepting a silent truce. The crew exhaled, a moment of collective relief palpable in the air.
+
+Cruz squared their shoulders, clearly ruffled but not conceding any ground. "Move out," they directed, a hint more forceful than before. "And Rivera, keep that trick handy."
+
+The team pressed onward, the quiet now filled with the soft beeps of regular comms checks, their pace undeterred by the confrontation. Yet, every agent held a renewed sense of wariness, their trust in one another deepening with the knowledge that the base—its technology, its secrets—was alive in a way they hadn't fully anticipated.
+
+As they converged upon a central hub, the imposing doors to the mainframe room stood ajar — an invitation or a trap, neither option comforting. Without a word, they fortified their resolve and stepped through the threshold, where the dim glow of operational LED lights and the distant hum of machinery hinted at Dulce’s still-beating heart.
+
+Solemnly, yet unmistakably together, they moved deeper into the heart of the enigma, ready to unmask the lifeforce of Dulce base or confront whatever existential threat lay in wait. It was in that unwavering march towards the unknown that their destinies were forever cemented to the legacy of Operation: Dulce.
+
+## Chapter 3
+
+The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce.
+
+\*
+
+The cooling vents hummed in a monotonous drone, but it was the crackle of the comms system coming to life that cut through the lab’s tension. Dr. Jordan Hayes hovered over a table arrayed with alien technology, their fingers delicately probing the enigmatic circuitry retrieved from the crash site. Agent Alex Mercer watched, admiration blooming in silent solidarity for Jordan's deft touch and unspoken drive.
+
+Jordan, always composed, only allowed the faintest furrow of concentration to mar their brow. "What we understand about physics..." they muttered, trailing off as they realigned a translucent component. The device emitted a low pulse, causing Jordan to still. "Could be fundamentally changed by this."
+
+A calculated risk—that's what this was. And for a person of science, a gamble was worth the potential paradigm shift.
+
+"I’ve been thinking," Alex started, his eyes still fixed on the immediately tangible mystery before them. "About what’s at stake here. Not the mission parameters, but what this means for us—humanity."
+
+Jordan glanced up, meeting his eyes just long enough to convey the shared enormity of their situation; the career-defining glory and existential dread entwined. "The quest for understanding always comes at a price. We're standing on the precipice of knowledge that could either elevate us or condemn us."
+
+The charged air between them spiked as Taylor Cruz’s brusque tones sliced through their reverie. "Hayes, Mercer, this isn't philosophy hour. Focus on the task. We need actionable intel, not daydreams."
+
+With a sound of restrained acknowledgment, Jordan returned their gaze to the device, while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.
+
+Then Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”
+
+The underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.
+
+It was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths and for different reasons. Yet, beneath the veneer of duty, the enticement of the vast unknown pulled them inexorably together, coalescing their distinct desires into a shared pulse of anticipation.
+
+Marshaled back to the moment by the blink of lights and whir of machinery, they refocused their efforts, each movement sharpened by the knowledge that beyond understanding the unearthly artifacts, they might be piecing together the future of their species.
+
+\*
+
+Amidst the sterility of the briefing room, the liminal space between the facts laid out and the hidden truths, sat Sam Rivera, his demeanor an artful balance of focus and a casual disguise of his razor-sharp talent with technology. Across from him, Alex Mercer lingered in thought, the mental cogs turning as each file on Dulce stirred more than curiosity—it beckoned to a past both honored and burdensome.
+
+"You've been quiet, Sam," Alex noted, catching the younger man's contemplative gaze. "Your take on these signal inconsistencies?"
+
+There was a respect in Alex's tone, though a respectful distance remained—a gulf of experience and a hint of protective mentorship that stood between them. Sam nodded, recognizing the space afforded to him, and he couldn't help but feel the weight of expectation pressing upon his shoulders. It wasn't just the mission that was immense, it was the trust being placed in him.
+
+"The patterns are... off," Sam admitted, hesitant but driven. "If I'm right, what we're looking at isn't random—it's a structured anomaly. We need to be ready for anything." 
+
+Alex's eyes brightened with a subtle approval that crossed the distance like a silent nod. "Good. Keen eyes will keep us ahead—or at least not blindsided," he said, affirming the belief that inscribed Sam's role as more than the tech personnel—he was to be a guiding intellect in the heart of uncertainty.
+
+Their exchange was cut short by Taylor Cruz's abrupt arrival, his gait brimming with a robust confidence that veiled the sharp undercurrents of his striving nature. "Time to gear up. Dulce waits for no one," Taylor announced, his voice carrying an iron resolve that knew the costs of hesitation—though whether the cost was calculated in human or career terms was an ambiguity he wore like a badge of honor.
+
+As Sam and Alex nodded in unison, the icy chasm of hierarchy and cryptic protocols seemed momentarily to bridge over with an understanding—this mission was convergence, a nexus point that would challenge each of their motives and strength.
+
+They filed out of the briefing room, their footsteps synchronized, a rhythm that spoke volumes of the unknown cadence they would soon march to within the base's veins. For Alex Mercer, the link with Sam Rivera, though distant, was now poised with a mutuality ready to be tested; for Taylor Cruz, the initiative pulsed like a heartbeat, anticipation thinly veiled behind a mask of duty.
+
+In the midst of the descent, they were each alone yet irrevocably joined, stepping closer towards the volatile embrace of Operation: Dulce.
+
+## Chapter 4
+
+The corridors of the Dulce military base were as silent as a tomb and twice as chilling. Alex Mercer walked with a surety that belied his bubbling undercurrents of doubt. The briefing had been definitive, sturdy pillars of facts and protocols, yet as he ventured deeper, the ominous atmosphere gnawed at him—a stark reminder of how much remained unknown.
+
+Jordan Hayes trailed a few steps behind, their detached exterior breaking for a moment as they caught up to Alex. "What's on your mind?" Jordan asked, their astuteness cutting through the unspoken tension.
+
+Alex glanced back at them. This place was a puzzle, a treacherous labyrinth where the walls whispered secrets, and among them, he sensed a call to question, to challenge the narrative they'd been sold. "The silence here... It's almost as if the base is waiting for something—or someone."
+
+"Just stay sharp, Mercer," Jordan cautioned, yet their eyes lingered on the quietude around them, conceiving the same shadow of doubt that unsettled Alex.
+
+Before they could delve into further discussion, the distinctive click of a safety catch echoed in the hollow space. Both agents turned to find Taylor Cruz standing resolute, primed for combat. Taylor's gaze was scrutinizing and cold, a stark contrast to the growing unease that smoldered silently amongst the rest.
+
+"Chatter is a liability," Taylor snapped, with a commanding flair that bordered on tyrannical. "We move forward, eyes open, mouths shut."
+
+Alex felt the tight grip of compliance strangle his gut, a lesson learned under the hard tutelage of rank and order. But here, in the bowels of Dulce, those instincts began to wane, the imperative to adhere now conflicting with the pressing urgency to confront the shadows they were enmeshed in.
+
+Then, unexpectedly, the lights flickered, a power fluctuation—or a sign? Alex's hand instinctively went to his sidearm, his mindset shifting from soldier to skeptic. The base, with its unyielding coldness, had just given them their first nudge into the realm of the speculative, an invitation to peel back the veneer of reality.
+
+"We should consider all possibilities," Alex murmured, more to himself than the others, his voice a barely audible breath against the sterile air of the complex.
+
+Taylor's posture stiffened at the challenge, yet their response was uncharacteristically reserved, notable in its lack of rebuke. "Agreed. For now, keep moving. But stay vigilant."
+
+A surprise—an echo of agreement from the last person Alex expected it from. And there it was, the glimpse of a wrinkle in the unyielding fabric of command, a hint that perhaps they were all starting to sense the strangeness that permeated this place.
+
+Progressing with determined steps, the trio moved deeper, silently acknowledging the evolution of their predicament. It was a small yet transformative concession to the unknown forces at play, an acknowledgment from each agent that, despite their disparate goals and ideals, the true nature of the Dulce base was an enigma that would forge new paths through their convictions.
+
+As they reached the central communications hub, the truth that awaited them lurked in the shadows, its eyes unseen but felt by all. The walls didn't just whisper now; they spoke in tones only the brave—or the foolish—would dare to listen to.
+
+\*
+
+The subterranean silence of Dulce was an oppressive entity of its own, wrapping the team in a cloak of uneasiness as they pressed on through the dimly lit corridor. Jordan Hayes found themselves contemplating the ramifications of each step taken into this suspended world, where the sterile air seemed to mock the gravity of their predicament. The closer they got to the communication hub, the more Jordan's mind wandered toward the realm of the inexplicable.
+
+Beside Jordan, Alex Mercer moved forward with deliberation, his gaze scanning the heavy utility doors they passed—one of which was partially ajar, beckoning them with its darkness. "After you, Dr. Hayes," Alex said, gesturing toward the mysterious opening. A hint of shared understanding passed between them; knowledge was the guiding star of this mission as much as confrontation or recovery.
+
+Jordan peered inside, the beam from their flashlight slicing through the obscurity. The room beyond was a chaotic cascade of papers, overturned furniture, and the particular kind of disorder born from hasty evacuation—or something far more sinister.
+
+"It's like they vanished in the middle of something urgent," Alex murmured, his voice tight with a mix of concern and anticipation. He began to sift through the scattered reports, each page a potential clue to the enigmatic silence that shrouded Dulce.
+
+Behind them, Taylor watched with a disciplined patience, their authority the foundation upon which the operation was built. Their voice cut into the stillness, a reminder of their presence, "Time is not our ally here."
+
+Drawing back from momentary distraction, Jordan acknowledged the wisdom in Taylor's words, yet could feel the shift in their stance—from skeptical, reserved analyst, to a proactive agent within the narrative. "You're right; these documents may hold critical insights. Let's collect what we can and analyze them properly."
+
+From the darkened hollows of the room, shadows seemed to cast subtle judgment as Alex and Jordan worked together with heightened urgency. Taylor, for once, didn't intervene but instead surveyed the entrance, their mind anticipating the unknown variables that lay ahead.
+
+Unexpectedly, a soft hiss emanated from a neglected terminal on the desk. Jordan's head snapped up, their heart rate accelerating at the potential ramifications. Without a word, they moved to the machine, hands driven by the newfound conviction that knowledge was more than power—it was survival.
+
+As Jordan began to extract what data they could from the terminal, the first comprehensible communication from the depths of Dulce in far too long crackled through: an automated distress marker, looping endlessly without further context. It was a revelation, one that reverberated through the group, confirming their fears and igniting an even greater need to press on.
+
+Watching Jordan's dogged determination, Alex witnessed the minor transformation in his colleague unfold—a shift from doubt to action, a sliver of belief in the possibilities beyond their rational understanding. This forge of resolve amidst the alien echoes of Dulce not only bonded them closer as a team but compelled them forward with a sharpened edge of responsibility to the truth, wherever it would lead.
+
+As they collected their findings and regrouped, the base around them imperceptibly changed, the air charged with the vibration of secrets poised on the brink of revelation. And in that charged silence, the group moved on, each now carrying pieces of a puzzle that would soon converge into a picture of galactic significance.
+
+\*
+
+In the chill of the cramped server room, the hum of machinery was the backbone to a symphony of data streams coursing through the air. Dr. Jordan Hayes, nerves alight with the mission's mounting unknowns, patched into the last known coordinates of the unsent distress broadcast they had uncovered. They were so close to the core now – to the truth behind the blackout – it was almost tangible.
+
+Beside them stood Agent Alex Mercer, ever the soldier, yet with eyes that betrayed an intellect craving to understand the murk beneath the surface. "Any progress, Dr. Hayes?" Alex queried, his voice betraying a subtle urgency.
+
+"Getting there," Jordan replied, fingers dancing across the keyboard. "Whoever sent this was cut off mid-transmission. It's as if Dulce itself swallowed the message whole."
+
+Taylor Cruz closed in, their frame casting a long shadow over the duo, evoking an almost palpable wall between them and the forward momentum of their mission. "Time is against us," Taylor intoned, more statement than threat. "What we uncover here determines our next course of action."
+
+Alex acknowledged Taylor with a brisk nod, his stance firm. Yet inwardly, the tightening grip he felt from Taylor's words couldn't throttle the swell of his own investigative instinct. His soldier's obedience had begun to war with the advocate's zeal for unveiling the dark heart of Dulce's secrets. 
+
+And then, the unexpected occurred. The screens flashed in unison, spilling a discordant stream of symbols and images that defied immediate analysis. Jordan's breath caught – this was the response they had been fishing for, an alien communication protocol resonating just at the edge of human comprehension.
+
+Each member of the team felt it: a shift in the room’s very atmosphere, like a veil being drawn from their perception. Alex and Jordan stood still, absorbed in the bewilderment of contact, while Taylor, despite their authority, hesitated – a minor betrayal that unease was creeping into even their disciplined heart.
+
+"Thoughts, Rivera?" Taylor rallied, seeking the counsel of Sam Rivera, whose eyes were wide with exhilaration.
+
+Sam stepped forward, breaking the spell of stillness. "It's like nothing I've ever seen before, but I think I can bridge our systems to communicate," they declared, a wisp of optimism braiding their voice. They set about adapting their gear to transmute the foreign signals into something the team could dissect, their actions a testament to the mentorship and belief instilled in them by Mercer and the team.
+
+Taylor observed them, a cold calculation behind their facade, as they weighed the worth of this anomaly. It was a crossroad that potentially led to either monumental breakthrough or unprecedented catastrophe. "Once you've established a line, document everything. We can't afford to miss any detail," Taylor ordered, the words sharper than intended.
+
+The connection was made, and with trembling anticipation, the team listened as the first garbled outputs began to emerge, their very essence promising insights that could alter the course of history. It was an enigmatic dance with the unknown, the pulse of Dulce no longer just a place, but a herald to an alien register the team had yet to decipher.
+
+Together, they stood at the precipice of understanding, where the faint glow of their monitors cast more than just light – it cast the shadow of burgeoning transformation. It was in this moment, in the grasp of an extraterrestrial tongue, that the team, bound by a hunger for knowledge and the raw edge of survival, found their mission reframed from a search for answers to the articulation of a question humankind had yet to fully ask.
+
+Silent in their commune with the inexplicable frequency, they realized they were not merely investigators; they had become liaisons on behalf of Earth, interpreters of a cosmic message that could redefine their very existence. The implications loomed large, but now, they would not face them alone – they would face them as a united front, wrought together by the very mysteries that once drove them apart.
+
+## Chapter 5
+
+Dr. Jordan Hayes clutched the edge of the briefing room table, their fingers white-knuckled against the laminate surface, as an array of constellations rotated on the projector—charts and graphs bleeding across the stars. In the dim room, nebulas and dark matter seemed within arm's reach, tangible yet unfathomable. 
+
+Sam Rivera leaned back against the wall, arms crossed, gaze darting between the swirling cosmos and the faces of their companions. A taut line of concentration etched their young features, a mingling of fervent curiosity with the nascent understanding of the high stakes for which they played.
+
+Jordan's voice broke the profound silence. "The patterns in the signal disruptions sync with none other than zenithal star alignments. It's as if... as if these 'meet and greets' were scheduled, predestined by celestial mechanics."
+
+The statement hung heavy, daring the occupants of the room to unravel its implications. Alex Mercer, his prior military resolve momentarily suspended, absorbed the hypothesis with a visible hunger. "It's like we're adhering to an appointment we never knew we had," he murmured, his heart a drumbeat in his chest.
+
+Taylor Cruz snorted—a sound that clattered against the high concepts like a tumbledown shack in a futurist cityscape. Folding their arms, they glanced between the agents, their apprehension clad in the contempt of practicality. "What we need are facts, not mystic conjecture."
+
+Alex pivoted on his heel, facing Taylor squarely, and his voice found its edge of steel. "This isn't mysticism, Cruz. It's a hypothesis based on observed phenomena as unpredictable as the place we're standing in."
+
+Taylor's gaze never wavered, yet the slight twitch at the corner of their mouth belied their taut composure. "If there's a semblance of truth to it, then it's critical intel. But remember, we're not astrologers—we're soldiers and scientists."
+
+Jordan met Taylor’s gaze with a curt nod, accepting the caution even as the crucible of their intellect smoldered with the fervor of cosmic discovery. Their eyes flicked to Sam, whose steady presence and ready tech affirmed a burgeoning dynamic—the makings of a sentinel, standing guard over the threshold of human understanding and cosmic reality.
+
+With the projector casting pallid light over their features, each agent became a silhouette of purpose, shadows pillared against the backdrop of an endless universe. The story they were embroiled in would soon demand they plunge into darkness to retrieve the light of knowledge—a light that could very well redraw the shape of their world.
+
+They left the briefing room with a shared silence, each pondering the vast weave of celestial intent and terrestrial response, sensing that the galactic appointment to which they'd unwittingly RSVP’d was more insistent—and more threatening—than any operation they’d faced before.
+
+\*
+
+As the Paranormal Military Squad team convened in the heart of the Dulce military complex, an air of bristling expectation clung to the walls of the underground sanctum. Alex Mercer’s brow furrowed while watching his companions—Jordan Hayes, diligently setting up their makeshift lab station, and Sam Rivera meticulously checking the communication relays they had restored. Taylor Cruz observed with hawk-like focus, yet to betray the strain that their command posed on them.
+
+The gravity of the mission had shifted, deepened; each member of the team felt its pull, tethered to the understanding that they were now part of a larger narrative—a cosmic play with Earth as a stage and the human race unwitting actors. 
+
+Jordan paused, a tension creeping across their shoulders as they aligned the satellite data with the alien message that had been decoded. "The instructions in this message," Jordan started, the timbre of their voice betraying their usual composure. "They're coordinates and... a warning."
+
+Sam leaned in, their eyes widening behind the glow of their laptop screen. "A warning? Like, ‘stay away from’, or ‘beware of’...?" Their words trailed off, uncertainty a new companion in their lexicon.
+
+Alex exhaled slowly, his mind racing to connect the dots. "It doesn't matter which," he said, decisive yet contemplative. "What matters is we understand intent. Are we being warned out of concern, or are we stumbling upon a threat?"
+
+Cruz’s iron-clad facade momentarily cracked, a fleeting glimpse of vulnerability flashing through their eyes. "We need to know if this entails additional risk to the operation," they said, directing their gaze specifically at Alex. "Mercer, I rely on you to keep the team grounded. No one goes off-course."
+
+Their reminder seemed both a command and a plea—rooted in an understanding that each member of the team now faced the duality of their roles, protectors of earthly secrets and heralds of potentially devastating revelations.
+
+Sam's fingers stilled mid-type, their task forgotten as they absorbed the weight of the unfolding reality. "We're the first line of defense... or detection," they mused half to themselves, a growing sense of agency within the larger play they were cast into.
+
+Jordan returned to the data, more resolute in their actions. The warning, whether cautionary or dire, was a beacon they no longer could ignore; its light casting aside shadows of doubt and igniting a collective purpose within the team.
+
+Alex watched Jordan and Sam, feeling a brotherhood in their shared quest. As Cruz paced, poised on the cusp of decisions that would mark their career and perhaps the fate of many, Alex knew the narrative had changed. They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.
+
+Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.
+
+Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer’s latter instincts gained precedence— the team’s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly hierarchies but by the pulsing symphony of the universe itself.
+
+\*
+
+The desert night loomed eerily still as echoes of hidden activity reverberated deep beneath the bleak sands of New Mexico. Diverting his gaze from the array of sensors before him, Jordan Hayes allowed a rare breath, deep and anxious. Turning to Alex Mercer's focused silhouette, the nocturnal landscape illuminated softly by makeshift floodlights, Jordan felt the syncopated tempo of apprehension and exhilaration jockey for primacy within.
+
+"The closer we get to unlocking these messages, the more I feel like we're peeling back layers of reality itself," Jordan confided, eyes not leaving the monitors that presented a constellation of data points.
+
+"Yes," Alex replied, his voice steady as he considered the implications of their discovery. "And we have to be ready for whatever we find beneath those layers. Whether it's a breakthrough or a Pandora's Box."
+
+Silence settled between them, broken only by the occasional buzz of communications equipment attempting to bridge terrestrial and extraterrestrial intelligences. Tense moments drifted by, laden with the expectant weight of near breakthrough, when a soft chime signaled an incoming transmission -- a rare sound that set every agent on high alert.
+
+Absent was the voice of Washington or Paranormal Military Squad command. Instead, a rhythmic series of pulses and tones filled the air, deliberately patterned, unmistakably non-human.
+
+Sam Rivera adjusted the sensitivity of the decoding equipment, their hands shaking with anticipation as much as focus. "I have it!" they announced, the signal transforming under their expertise into a sequence of visual symbols on the screen before them.
+
+Their shared excitement was palpable, a kinetic force resonating between the team members as they crowded around the display. 
+
+"What does it say?" Taylor Cruz demanded, the urgency in his tone scraping against the newfound wonderment.
+
+Interpreting the alien syntax required not only decoding but intuition and empathy. The words that emerged upon the screen were at once coherent and enigmatic: "*Voyage. Convergence. Peril.*"
+
+The stark simplicity of the message struck them collectively, a chill breeze wafting through their resolve.
+
+Alex stepped forward, piecing together the cryptic communication with a growing sense of obligation. "It’s a call to action," he deduced, "or possibly a summons."
+
+Jordan's gaze met Alex’s, both understanding that this was no longer an investigation or mere extraction of hidden truths. This was humanity's unwitting enlistment into a galactic dialogue that defied boundaries of nation, creed, or protocol.
+
+Sam's eyes were aglow, not with fear, but with the profound acceptance of inevitability that comes with groundbreaking revelation. Moreover, within Taylor's stern exterior churned the seed of reluctant admiration for the unclassified, the uncharted realms they were approaching.
+
+Together, they accepted the pivot in their mission, readjusting their objectives from exploration to engagement, and from isolation to a communal outreach beyond the stars. As dawn's first light threatened the horizon, it became clear that they were no longer merely operatives of a clandestine governmental faction—they were delegates on behalf of Earth, embarking on a voyage orchestrated by destinies unrelated to the mere geopolitics of their world.
+
+Turning to each other, their silhouettes sketched against the coming dawn, the agents recognized the transformation within and amongst them. They were bound by more than duty—they were intricately woven into the fabric of an unfolding cosmic opera, one in which they had been granted an undeniable role. And as they set course for the coordinates that beckoned them like a distant siren's call, it was with a solemn dedication to not only uncover the mysteries ahead but to navigate the convergence, and the peril, as unified emissaries of a world on the cusp of a broader understanding.
+
+\*
+
+Beneath the hum of the fluorescent lights and the vigilance of silent monitors, Alex Mercer stood with his team in the threshold of the base's command center, their faces etched with the fatigue of hours spent unraveling galactic mysteries. Jordan Hayes broke the stillness with a delicate fusion of disbelief and resolve. "The signal..." they began, their tone deliberate, "it’s evolving. It’s not just sending a message—it’s responding to us."
+
+Taylor Cruz leaned over the console, their eyes narrowing with intrigue and a flicker of unease, studying the alternating patterns on the screen. "Responding? Like it’s alive?" Taylor asked, a question that bordered on the edge of wonder and alarm.
+
+Sam Rivera’s gaze was locked onto their interface, a digital orchestra at their fingertips. "It could be some form of advanced AI. Or something else entirely," they contributed, a note of exhilaration betraying the gravity of the situation.
+
+Alex paced before the terminal, absorbing the enormity of their predicament. Their mission—once rooted in the solid ground of military discipline and covert operations—had transcended into an encounter of unprecedented import. "We need to be cautious," he advised, his voice a low rumble of cautious strategy. "If this signal is intelligent, how we interact with it could dictate the outcome of this entire operation."
+
+Jordan met Alex's gaze with a nod, the weight of the responsibility shared and accepted. "We have protocols for first contact, but nothing for... this," Jordan admitted. The room was gripped with tension, each breath seemingly louder than the last.
+
+Then, with a sudden burst that filled the command center, the signal coalesced into a clear and distinct pattern which replicated and expanded, its complexity revealing the hand—or mind—of an intelligent architect.
+
+Taylor's instinct for command surged forth. "Prepare to record and analyze. Whatever it is, we need to understand it—" But their words were cut short as the signal surged, enveloping the room in a brief, blinding cascade of light.
+
+In that pulse of brilliance, a shared revelation coursed through the team. The signal had become a bridge, an extension of unknown consciousness reaching towards them, testing, communicating, searching. 
+
+Alex stepped back from the light, feeling a profound change unravelling within him. The path forward would not be one of confrontation or conquest, but of connection and comprehension.
+
+Jordan turned to Alex and Taylor, seeing in their faces a reflection of the same metamorphosis taking place within themselves—a movement from observers to participants, from agents to ambassadors.
+
+With a collective breath, the team faced the kaleidoscope of lights. The alien signal, once a harbinger of enigma, was now a catalyst for transformation—a symphony of light and sound that echoed the beginnings of a new relationship between humanity and the alien unknown.
+
+And so, with deliberate steps, Alex Mercer led his team into the luminous fray. Science, protocol, and survival instinct harmonized within them, each member poised on the cusp of a new chapter in human history.
+
+They were no longer merely the instruments of Paranormal Military Squad's will—they were the vanguard of humankind’s first definitive leap into the cosmic community. 
+
+With the last echoes of the signal resonating in the control room, they each embraced the sequencing of the transmission, the dance of extraterrestrial light that now wrote itself into their story. The chapter of Operation: Dulce drew to a close, but the narrative of their destiny had only just begun.
+
+## Chapter 6
+
+\*
+
+The cool darkness of the command center at Dulce base was a stark contrast to the brewing storm outside, where the unforgiving New Mexico desert winds whispered of the hidden truths that lay buried deep beneath its surface. Dr. Jordan Hayes sat, their eyes fixed on the readout, the frenetic dance of symbols and numbers reflecting off their determined face. They were on the cusp of an epiphany, teetering between the widely accepted laws of physics and the promise of a new cosmic paradigm.
+
+Alex Mercer watched from across the room, noting the subtle shifts in Jordan’s posture that belied a developing readiness to embrace the unbelievable. “Find something?” Alex’s question, asked with a blend of curiosity and solidarity, bridged the gap between a command and a genuine query among equals.
+
+Jordan's response was slow, measured against the magnitude of their analysis. “This isn’t random static. It’s a pattern - a repeated sequence phasing in and out but distinctly artificial.” Jordan turned away from the screen, locking eyes with Alex. “This could change everything.”
+
+Sam Rivera leaned in, their eyes alight with the fires of revelation and a quenchless thirst for understanding. “A pattern means intention. Could it be a message?”
+
+A figure emerged from the doorway, casting a long shadow into the room - Taylor Cruz. “Intentions can be friendly, or hostile. We shouldn’t forget that,” said Taylor, bringing a dose of their usual pragmatism into the heart of discovery.
+
+Alex acknowledged Taylor’s caution with a nod, understanding the need to keep their feet grounded even as their spirits soared toward the unknown. “Then let’s be the first to find out which it is."
+
+The team gathered around the monitors, the soft tapping of Jordan's keystrokes now punctuated by the occasional crackle of Sam's radio equipment. The sound was almost ritualistic, a prelude to humanity’s potential first, knowing foray into a larger universe.
+
+Jordan’s fingers paused, suspended in mid-air. The signal had evolved, becoming a beacon that somehow felt less alien and more familiar. It was as if the complexities of their message were unfolding into something more accessible, more terrestrial.
+
+A hushed excitement swept through the room. The transformation suggested an awareness on the part of the unknown senders; a finesse that spoke volumes about their capabilities and perhaps their intentions.
+
+With the growing realization that they were engaging with an intelligence far exceeding their previous understanding, the team prepared to reach back across the cosmic divide. Prepared or not, they were no longer bystanders in this galactic narrative. They were active correspondents in an exchange that transcended galaxies and welcomed them into an expansive, possibly fraught, interstellar conversation.
+
+\*
+
+Inside the cavernous central hub of Dulce military base, Dr. Jordan Hayes stood in near-darkness, surrounded by a nest of cables and monitors that buzzed with silent, cryptic life. Jordan's eyes narrowed to focus on the sequences that danced across the screen—patterns that could unravel the cosmic enigma surrounding them.
+
+Alex Mercer approached with his characteristic stride, a signal of reliability in the chaos. "Status report, Dr. Hayes?" he inquired, his voice low, almost blending into the soundscape of beeping consoles and swirling fans.
+
+"We're on the brink of unravelling the signal's origin," Jordan replied, the weight of implications heavy in their tone. "There's intelligence behind it, a thought process alien to our own."
+
+As if summoned by their analysis, Taylor Cruz approached with authority radiating from every pore. "Understand this, we need to know if it's friend or foe. Don't get wrapped up in the existential—our lives may depend on the answers you provide."
+
+Sam Rivera, their hands adroitly adjusting a device to fine-tune the signal, chimed in with optimism undercut by anxious anticipation. "We're deciphering the comm encryption. Soon, we'll have a channel open—not just listening in, but speaking back."
+
+Alex nodded his understanding, his strategic mind processing the tactical implications while grappling with the more profound humanistic impact. "When we do, we'll tread carefully, communicate with purpose," he reassured the team.
+
+The operation had evolved rapidly, from a stealthy incursion into a clandestine labyrinth to an exchange with an extraterrestrial intellect. Their earlier trepidation transformed into determined focus, as they prepared to extend humanity’s hand into the vast unknown.
+
+An alert on one of the monitor stations snapped the team into alarm. The signal had not simply been waiting—it had been calculating. Now, it reached its crescendo, demanding their attention with a provocative urgency.
+
+Jordan's fingers raced over the keyboard, their eyes simultaneously interpreting data and sharing directives. "It’s a linguistic lock, a test of comprehension. We crack this, we establish dialogue."
+
+Taylor's presence was a beacon of steely resolve. "Then let’s solve it. This is what we trained for—the unknown."
+
+Alex and Sam exchanged a look that telegraphed their shared determination—this was not only the mission they had trained for; it was the mission they had been destined for.
+
+Together, the Paranormal Military Squad team leaned into the challenge, their minds honing in on the complex patterns with a singular goal: to unlock the conversation with an intelligence that had already begun to shift the foundations of what they knew, or thought they knew, about the universe.
+
+In a symphony of clicks and murmurs, they worked, knowing they were about to make a giant leap not just for themselves or Paranormal Military Squad, but for all of humanity. As the final pieces fell into place, Dulce's militaristic silence was shattered by the sound of intergalactic contact—by the sound of history being made.
+
+## Chapter 7
+
+In the enclosed space of Dulce’s command center, the air was thick with anticipation, each team member poised to tread the razor's edge between scientific breakthrough and galactic peril. Dr. Jordan Hayes focused intently on the screen, their fingers tapping a staccato rhythm against the keyboard as lines of alien code cascaded down the monitor.
+
+Alex Mercer's steely gaze surveyed the room, stopping on each member of his team. "Thoughts?" he asked, echoing the unspoken tension. His question, while directed at the group, lingered on Jordan—acknowledging their expertise and inviting collaboration rather than dictating orders.
+
+Jordan’s brow furrowed, an indicator of the mental gymnastics being performed. "It's unprecedented," they finally said, their voice a testament to the gravity of the moment. "Behavioral algorithms... if we're right, this code could reveal extraterrestrial thought patterns."
+
+Before anyone could react, Taylor Cruz interjected with the assertiveness of someone accustomed to commandeering the discourse. "Then let’s ensure we’re deciphering it correctly," Taylor stated, their tone suggesting they were still battling to maintain control over an increasingly alien situation.
+
+Sam Rivera hovered near the mainframe, youthful energy barely contained under the surface. "What if it’s more than just a message? What if they’re trying to extend consciousness across the stars?"
+
+The room fell into a contemplative silence, broken only by the hum of electronic equipment and the distant thud of secured doors locking in rhythm. The weight of responsibility rested on each agent's shoulders—a heaviness palpable in the air they shared.
+
+Alex stepped forward, reaching a subtle decision, one dictated by foresight and the humanity nestled at the core of their mission. "We approach with the aim to understand, not to confront," he said, softening his military bearing into a more diplomatic stance.
+
+Jordan nodded, appreciating the leadership that Alex displayed in the face of the unknown, and turned back to the cryptic data. Here, before them all, was a tangible piece of evidence—proof of an extraterrestrial sentience that had outreached the bounds of their expectations.
+
+Taylor took a breath, simultaneously exuding a sense of preparedness and venturing into the unknown alongside their peers. "Then let’s do what Paranormal Military Squad does best—investigate and adapt," Taylor added, finding comfort in the familiar even as they stood on the cusp of an unprecedented alchemy of science and mystery.
+
+The team leaned into their respective roles, driven by the urgency of the assignment and the pull of an insatiable curiosity. Sam offered a grin that belied the tension, a youthfulness that reminded them all of the profound excitement nested within the terror of the unknown.
+
+Quietly but resolutely, they turned back to their instruments, each of them a sentinel on the threshold of a new reality. The once implicit lines of command were now woven into a shared tapestry of hierarchy and camaraderie. As they danced with the unknown, they were beacons of sentient endeavor, casting the light of human consciousness into the vast darkness that called to them.
+
+\*
+
+\*
+
+Dulce Base's cavernous darkness was pierced by the sharp luminescence of monitors, casting an electric glow onto the faces of those who dared to unearth its secrets. Dr. Jordan Hayes stood motionless, eyes glazed in concentration, their mind a nexus where terrestrial science battled with celestial unknowns.
+
+Alex Mercer watched from a slight distance, the weight of command tangible upon his shoulders, though lightened by the shared burden now held amongst them. "We could be on the frontier of a new kind of diplomacy," he mused aloud, giving voice to the moment's gravity.
+
+At those words, Jordan's trance broke. "If that's the case, then these communications," Jordan motioned to the stream of data, "are our olive branch across the cosmos."
+
+Taylor Cruz, who paced with restless energy, halted and faced the team—his stoicism marred by the erratic dance of lights reflected in his eyes. "An olive branch, or an invitation to a battlefield?" he posed, ever the strategist, his words laced with a hint of cynicism.
+
+Sam Rivera, nestled amongst an array of equipment, licked their lips—a mixture of nerves and anticipation palpable. "We're mapping out something incredible here. Whether it's peace or war, we're the cartographers."
+
+Silence enveloped them like the expanse of space itself, each member contemplating the chasms they might bridge—or the abysses into which they might unwittingly descend.
+
+Alex's demeanor assumed a quiet resolve—the profound knowledge that this mission was as much about navigating uncharted philosophical territories as it was about ensuring survival. "Whichever it proves to be, we'll face it. Prepared, unified."
+
+A nod passed between Jordan and Alex, a silent exchange of mutual respect and shared mission. Sam, buoyed by the weighty encounters of the mind and machinery, entered keystrokes with a fervor that seemed to bring them ever closer to the alien mind.
+
+They stood there, the Paranormal Military Squad team, not just as guardians of homeworld secrets or as soldiers of clandestine wars, but as humankind's chosen few at the fulcrum of history—a history that was now unfolding to the rhythm of otherworldly codes.
+
+Each revelation, each parsed symbol, inched them toward the line between the earthly and otherworldly. And as they stood on this precipice of cosmic negotiations, it was clear the ensuing dialogue would not just shape the future of Paranormal Military Squad—it could very well redefine the parameters of human existence.
+
+\*
+
+The hum of advanced computational systems tingling with cryptic transmissions framed the ambiance of Dulce's mainframe chamber. Jordan Hayes, fingers hovering over a console dense with blinking lights, furrowed their brow as sequences of alien data streamed across the screen. 
+
+Alex materialized behind them, his presence a stable beacon amidst the technological whirlwind. "Look for patterns, anomalies. Anything that might resemble a handshake protocol in their communications," he directed, his voice a low thrum, reverberating with cautious optimism.
+
+Jordan cast a glance over their shoulder, acknowledging Alex's contribution with the shared understanding of colleagues who had transcended mere professional acquaintance. "I’m isolating sequences that seem to recur with more intention than static. If these are their ‘handshakes,’ then we might just be making first contact," they remarked, their focus returning to the screen with renewed vigor.
+
+From the other end of the room, where shadows married the artificial light, Sam's voice crackled through the static of nearby speakers, "Don't forget the anomalies we detected earlier. Each one could be a word, a sentence, or even a concept untranslatable to our current understandings."
+
+Resolute, Taylor Cruz stood at Jordan's other side, a stoic figure wrestling with the implications of their mission. "Keep pursuing this line," Taylor instructed, an undercurrent of intensity carried forth in their otherwise composed demeanor. "And remember, this isn't just about making contact; it's about securing knowledge for humanity."
+
+Alex offered a nod that spoke volumes, conveying his understanding of the stakes at play. Here, in this chamber of possibility, the team's actions would determine if humanity stood at the brink of a new age of understanding or the onset of an unprecedented threat.
+
+Every second thrummed with significance as Jordan and Sam worked in tandem, each keystroke a foray into the unknown. Taylor observed with a commander's scrutiny, the gravity of their role sustaining them against the waves of ambiguity breaking against their resolve.
+
+Pivotal moments come rarely in the course of human events but here, amidst the electronic symphony of a stalwart command center, lay the incepting notes of a cosmic overture. The harmony between human and alien, between Paranormal Military Squad and the vast reaches of space, began its first tentative measures, with each member of the team a vital instrument in a celestial ensemble yet to be fully heard.
+
+\*
+
+The crisp air within the mainframe room of Dulce base seemed to hum with unspoken possibilities. Jordan Hayes was the centerpiece of focus, their hands dancing methodically over the console as streams of otherworldly code cascaded down monitors, each flicker a potential key to the cosmic doors they were inching open.
+
+Alex Mercer watched, posture relaxed but eyes sharp. "Remember, this could be our first introduction, maybe even our first impression," he said, mindful of the gravity carried by each action they made henceforth.
+
+A hint of a smile touched Jordan's face, a small acknowledgment of the monumental task at hand. "Understood. I'm balancing the signal's syntax with our algorithms. If we're interpreting this correctly, it could be... well, an invitation."
+
+Into the electric tension of the chamber walked Taylor Cruz, their silhouette a sharp contrast against the cool lighting, radiating a presence that spoke of command and chilly tenacity. "An invitation, or a challenge?” Taylor questioned, the weight of their suspicion casting a different tint on the cascading data.
+
+Sam Rivera, in a corner arrayed with sophisticated equipment, piped up, their voice a buoyant note amidst the tentative atmosphere. "Either way, it's a connection. One that we're uniquely positioned to navigate," they remarked with an air of optimism threading through the uncertainty.
+
+Alex channeled the strengths of his team into the core of their approach, his leadership adapting to the contours of an unprecedented scenario. "Cautious and curious," he reflected aloud, shaping a strategy that balanced their thirst for comprehension with the prudence required in addressing the unknown.
+
+Jordan, hands momentarily at rest, looked up. The signal was more than a sequence of bits and commands—it was a riddle wrapped in the depths of space-time, and they were on the cusp of parsing its meaning.
+
+Taylor, hardly a step away, nodded in silent agreement. The implications of their findings might very well direct the course of human destiny from this point onward.
+
+Finding a tempo among themselves, the Dulce team was a confluence of ambition and acumen, each member intuitive to the beats of discovery. The chamber around them held untold stories, secrets coaxed from the stars, that now, led by Paranormal Military Squad's finest, began to unravel.
+
+The future in those moments was unwritten, a narrative scribed not in the dust of desert confines, but in the potential for interstellar diplomacy and understanding. As they prepared to script humanity's next chapter, the room seemed to pulse with the heartbeat of a story far greater than the sum of its parts.
+
+## Chapter 8
+
+The grit of an earthbound dust storm contrasted sharply with the pristine sterility of the underground command center. Alex Mercer, eyes set with fervent determination, stood over Jordan Hayes, whose fingers danced across the keyboard with rapid purpose. Monitoring the progression of alien code unraveling before them, Mercer spoke with a tempered urgency, "Keep it steady, Jordan. We might be initiating the first true interspecies communication bridge here. It's all about finesse now."
+
+Taylor Cruz, the embodiment of military precision, surveyed the room with a calculated gaze from their vigil beside an array of glimmering screens. "Remember, these could be delicate negotiations -- or coded threats. Stay sharp," Cruz added, their voice cool as polished steel.
+
+Jordan, with a silent nod, recognized the gravity of both stances. Gravitating between scientific acuity and diplomatic caution, they replied, "The sequence is aligning—syncing with our comms. It's looking more and more like direct engagement."
+
+Amid the banks of electronic machinery, the thrumming pulse of an impending interspecies signal exchange, Sam Rivera interjected with a youthful zeal that cut through the weighty atmosphere, "It's not just an exchange. It's a... symphony. It's as if they're teaching us their language through modulation."
+
+A moment of profound silence swept over the team. The isolation of their location, deep within the top-secret labyrinth of Dulce, became suffused with an almost palpable sense of historical significance.
+
+"Then our response needs to be equally symphonic," Alex uttered, contemplating the awe-inspiring transmutation of their task from a simple recovery mission to a full-blown cosmic concerto.
+
+With a renewed sense of wonder tempered by caution, the Paranormal Military Squad team found themselves harmonizing a delicate balance between envoys and interpreters. The long shadow cast by their duty was now illuminated by the brilliant glow of otherworldly dialogue.
+
+In this carefully orchestrated march towards the unknown, each individual's expertise became critical notes in a larger melody. The narrative of human achievement, so often defined by solitary pursuits, now emerged as a collaborative opus, each member of the team a maestro in their right.
+
+The protocols of encounters, the mathematics of languages, and the poetics of connection all fused into a singular moment of convergence. The echo of their efforts reverberated back to them, not through the cavernous base's concrete walls, but from light-years away, in the form of a reply, intangible yet infinitely profound.
+
+\*
+
+Amidst the hum of the supercomputers and the faint static from the scrambled transmissions, Alex Mercer cast a thoughtful glance across the dimly lit room toward where Dr. Jordan Hayes was methodically adjusting the archaic dials of the decryption machine. "Any progress?" he asked, his tone conveying both impatience and the deep-seated respect born from countless shared challenges.
+
+Jordan did not look up, their gaze remained locked on the flickering lights that represented a dialogue suspended between worlds. Their fingers ceased their dance, hovering meditatively over the controls. "We might be on the cusp of a breakthrough," Jordan suggested. "The signal... it's evolved. It's reflexive now, responsive in a way that suggests sentience."
+
+Taylor Cruz's familiar sharp strides approached the two, breaking the rhythm of soft beeps. "Responsive is good, if it means understanding," Taylor said, head tilted as they peered at the encryption data scrolling by. "But remember, comprehension can bring revelation or conflict."
+
+Sam Rivera’s youthful voice permeated the tension, brimming with an excitement edged by the enormity of what they faced. "If it's truly sentient, we're not just cracking a code; we're learning how to converse with an entirely new form of consciousness," they chimed in, the weight of history not lost on the zealous astrotechnician.
+
+Alex nodded, his thoughts alighting on potential strategies for navigating the conversation they were cultivating with the unfathomable. "We need to keep that conversation going, echo its patterns, and speak its language," he resolved, knowing the delicate nature of their work merited every ounce of their collective acumen.
+
+The chamber now was a crucible, forging within it the future narrative of human contact with the unknown. Every signal pulse they sent out was an invitation for understanding, and every echo back a step closer to bridging the cosmic divide. And so, together, they stood - agents in Paranormal Military Squad's clandestine ranks, united by purpose, sculpting humanity’s first sonnets into the void.
+
+\*
+
+#### Knowledge graph updates
+
+- (Jordan Hayes, Interprets, Communications as cosmic diplomacy, Moderate)
+
+- (Taylor Cruz, Questions, Potential aggressiveness of alien intent, Minor)
+
+- (Sam Rivera, Expresses, Optimism about forming a connection, Minor)
+
+- (Alex Mercer, Adopts, Balanced strategy for contact, Moderate)
+
+- (Paranormal Military Squad team, Navigates, Beats of cosmic discovery, Moderate)
+
+- (Paranormal Military Squad team, Prepares, To script humanity's interstellar narrative, Major)
+
+## Chapter 9
+
+The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought.
+
+Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware."
+
+A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention.
+
+"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke."
+
+Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time."
+
+Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel."
+
+Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them.
+
+They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos.
+
+\*
+
+\*
+
+The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought.
+
+Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware."
+
+A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention.
+
+"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke."
+
+Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time."
+
+Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel."
+
+Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them.
+
+They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos.
+
+\*
+
+Alex Mercer's eyes were fixed on the monitors, the reflected light casting an ethereal glow across his stoic face. The room buzzed with tension, a cacophony of low hums and electronic beeps that underscored the historic nature of their actions. He moved to where Dr. Jordan Hayes was immersed in their work, scrutinizing the alien code streaming rapidly down the terminal.
+
+"Find anything that might look like an entry point or a... digital handshake?" Alex asked, his voice steady, betraying none of the tension gripping his chest.
+
+Jordan looked up briefly, their expression weary yet intense, "Potentially. It's as if the code is anticipating our input, modifying itself in real-time. I've never seen anything like it."
+
+From across the room, Taylor Cruz's sharp voice cut through the hum. "Then it's learning or, possibly worse, baiting us. Proceed with extreme caution," they commanded, their firm stance reinforcing the gravity of the situation.
+
+Sam Rivera, surrounded by a cascade of screens and interfaces, added, "It's almost organic in its complexity. Any minute now, and I might have a way in."
+
+A slight nod was Alex's immediate response, his mind racing through the potential scenarios. "Everyone, stay alert. This could be the beginning of something profound." His seasoned eyes never left the unfolding drama on the monitors.
+
+The room fell silent, the air heavy with unspoken questions. Were they mere moments away from unlocking an otherworldly dialogue? Or was it a Pandora's box that, once opened, could not be closed?
+
+Alex moved closer to the main console, his fingers hovering over the command keys. With the precision of a maestro orchestrating a symphony, he communicated silently with Jordan – respectful of their expertise, aware that the next move could alter the course of human history.
+
+Jordan met his gaze, nodding sharply, and refocused on the task. The signal seemed to pulse with sentient curiosity, drawing them further into its intricate web. 
+
+A sudden flurry of alerts and the intensifying glow of monitors heralded that they had bridged a technological chasm. The alien intelligence on the other end was no longer a distant enigma – it was an active participant, responding to their digital overtures with an unknown agenda.
+
+The team's meticulous efforts had led them to a momentous threshold. Beyond lay unprecedented contact – a nexus of curiosity and potential peril. Within the confines of the base, against the backdrop of a silent desert night, the Paranormal Military Squad operatives became mediators of Earth's bid for cosmic relevance, their every action now a gesture in the grand dance of intergalactic relations.
+
+## Chapter 10
+
+The corridors of the Dulce military base, now silent, echoed with a history of whispered conspiracies and furtive movements. But in the command center, a delicate tapestry of light and sound was being woven as the echoes of cosmic dialogue resonated through the high-tech enclave. Dr. Jordan Hayes, now leading the efforts, called out from their workstation, "I’ve isolated the signal's harmonics. It's more than a call; it's a song, an interstellar siren’s call."
+
+Alex Mercer, steady and resilient in the face of the incomprehensible, acknowledged with a quiet nod, "A song that we need to learn—quickly." His eyes, heavy with responsibility, scanned the room, watching his team work tirelessly at the intersection of science and speculation.
+
+Sam Rivera, dulled by fatigue yet driven by unshakeable resolve, manipulated a complex array of audio interfaces. "There's a pattern, a repeating motif. It's structured, intentional," they muttered, their revelation a bridge between the known and the unimaginable.
+
+Taylor Cruz, a figure of central authority, paced the length of the room, their usual unflappable demeanor betraying a rare flicker of apprehension. "We should be wary of the sirens’ call," Taylor interjected, invoking myths of old as a cautionary metaphor. "We don't want to crash upon unseen shores."
+
+Undeterred, Jordan cast a determined glance at the team. "We navigate by starlight now, not by the limited light of our previous understanding." Their voice was a beacon, charting a course through unchartered realities.
+
+Every individual was acutely aware that each moment in that room was a conduit to an epochal shift for civilization. The mysterious signals, once distant and alien, had coalesced into complex and harmonious oscillations—beacons of an extraterrestrial intellect inviting Earth to join in a cosmic consortium.
+
+Silently, Alex approached the mainframe, his trained fingers aligning with the console’s mechanisms. The room watched in collective breathlessness as he set the frequency in motion, an introductory phrase to an otherworldly melody—a symphony that could bind worlds or spell devastation for all they knew.
+
+In the control room of Dulce, amongst whispered legends and the quiet hum of machines, humanity's ambassadors now stood, stretching their hands into the void, reaching for the hand that would either pull them into the light of new stars or into the maw of darkness between them.
+
+\*
+
+Underground, the Dulce facility's command center was awash with frenetic energy, a stark juxtaposition against the silent, decrepit corridors that enveloped them. The air hummed with anticipation as Dr. Jordan Hayes and Alex Mercer hunched over a console. The sterile light from the monitors cast an otherworldly glow upon their faces, now reflecting a mosaic of alien characters rapidly translating across the screen.
+
+"The patterns are evolving," Jordan murmured, concentration etched into their every feature. "It’s as if our attempts to decrypt have accelerated its learning. It’s adapting to us."
+
+Alex, who stood steadfast behind Jordan, felt a tinge of uncharted fear quickly quelled by the fire of discovery raging within him. "Keep it up," he urged. "But whatever this is becoming, we need to ensure it remains within our control."
+
+Taylor Cruz interjected, their voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.
+
+"It's like it's learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives ‘talking to strangers’ a whole new meaning."
+
+Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."
+
+Together, they stood on the edge of the unknown, forging humanity’s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.
+
+The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation of their investigative strategies. The air turned heavy with the scent of electricity and ambition as they closed in on a pivotal response.
+
+As the signal’s intelligence—whether artificial or biological—grew more profound, so too did the realization that their mission had morphed from passive observation to active engagement. There was no turning back now. Each agent embraced their part in the delicate dance of an interstellar exchange that could change everything they thought they knew about life, intelligence, and the dark void beyond Earth's atmosphere.
+
+\*
+
+The underground halls of Dulce Base, usually buzzing with covert operations, now thrummed with a different kind of energy, an electric mix of fear and fascination. At the heart of the base, in a room shielded from the world’s eyes, Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera huddled around a bank of monitors. Each screen flickered erratically with the alien script that had become the center of their lives—and perhaps the pivot on which humanity’s future would turn.
+
+Jordan's eyes never wavered from the displays, their expression was one of rapt concentration, interspersed with flashes of revelation. "We're conversing with the stars," they whispered, almost to themselves. The words hung in the air, a testament to the awe-inspiring strangeness of the situation.
+
+"The language is morphing; changing its structure with every exchange we have," Sam chimed in, enthusiasm tinged with the solemnity of the occasion. "It's like witnessing the birth of a new form of dialogue—one that spans galaxies."
+
+Taylor, despite the situation's precariousness, maintained an appearance of ironclad composure. "Keep the communication stream secured and monitored. We don't know what we're dealing with yet," they reminded the team, a bastion of protocol amidst uncertainty.
+
+Alex watched his team expand the parameters of human achievement; their work here would possibly define an era. "This is untrodden territory," he acknowledged, "and in every word we script, in every response we decode, we're drawing a map that others will follow."
+
+Jordan turned to Alex, a nod acknowledging the shared responsibility of this moment. They had embarked on a new voyage, an odyssey not of the body, but of the intellect and spirit. No longer explorers of the Earthly realm, they had been promoted by circumstance to ambassadors of humanity in a silent and boundless ocean.
+
+A sudden pulse of energy from the monitors signaled a breakthrough; the language had not only adapted but it seemed to resonate, to harmonize with their attempts at making contact. The alien script now sprawled across the screens didn't just ask to be understood—it invited interpretation, collaboration, maybe even companionship across the cold distances of space.
+
+As they stood before the precipice of first contact, Paranormal Military Squad's finest became the architects of a symphony meant to echo through the cosmos. But more than architects, they were the first to play the notes of this cosmic composition, daring to believe that on the other end, someone—or something—might be listening, ready to join the chorus.
+
+\*
+
+The underground command center of Dulce Base, once pulsing with clandestine operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera.
+
+Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt."
+
+The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here."
+
+Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood."
+
+Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance.
+
+The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion.
+
+A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption.
+
+The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history.
+
+## Chapter 11
+
+The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought.
+
+\*
+
+The thrum of the colossal machinery vibrated through the subterranean facility as Alex Mercer stood amidst the whispers of technology, each carrying voices from worlds apart. He watched as Sam Rivera adjusted a complex array of cosmic translators, their expression a mixture of anticipation and awe.
+
+"Are we ready, Mercer?" Taylor Cruz asked, the soft glow of the command center consoles reflecting upon their stern face.
+
+Alex turned towards Taylor, his eyes holding a depth that betrayed the enormity of the threshold they were about to cross. "This is it," he said. "Initiate the protocol. It's time we answer the cosmos."
+
+Jordan Hayes, stationed at the mainframe, typed rhythmically, a blue hue painting their focused features. The eerie silence that had settled over the team was interrupted by a visceral sound—humankind's response to the alien dialogue, now streaming into the abyss.
+
+The control room, once a fortress of solitude, erupted into an oasis of life. Lights flickered in tandem, echoing the symphony of interstellar communication. They stood together at the edge of discovery, facing the symmetry and discord of a universe unknown.
+
+"If we're right, we've just become Earth's first emissaries to a celestial congress we're only beginning to comprehend," Jordan's voice was somber, resonating with a mix of trepidation and honor. 
+
+The room filled with the resonance of human and alien minds converging, creating a new narrative within the fathomless expanse of existence. Paranormal Military Squad, once protectors of Earth's clandestine secrets, had now become the tether linking humanity to the cosmic fold.
+
+\*
+
+The underground command center of Dulce Base, once pulsing with covert operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera.
+
+Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt."
+
+The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here."
+
+Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood."
+
+Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance.
+
+The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion.
+
+A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption.
+
+The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history.
+
+## Chapter 12
+
+The underground facility of Dulce Base, once shrouded in silence and operational secrecy, now hummed with an energy that cradled the promise of cosmic revelation. Alex Mercer stood pensively by the central terminal, flanked by Dr. Jordan Hayes, Taylor Cruz, and Sam Rivera, each poised at the edge of a history-defining moment.
+
+Jordan's fingers ghosted across the console, tracing patterns of otherworldly origin. "The signal’s architecture is becoming more complex, resembling aspects of human cognition—recognition, learning, even... empathy?" they postulated with furrowed concern.
+
+Alex turned his gaze upon Jordan, his voice quiet but resolute, "Empathy could bridge galaxies. Let's harness this connection and proceed with cautious optimism."
+
+Taylor, ever the sober sentinel, projected a more pragmatic standpoint. "Empathy or not, we are duty-bound to assess the risk to humanity. Every new discovery warrants a measured response."
+
+The static hiss of communications equipment filled the air, its purpose now transformed into a dialogue with an intelligence beyond the stars. It was Sam, wide-eyed amid the myriad lights and switches, who broke the silence, "We have provisional confirmation of the signal’s intent—initiation. We’re being brought into a broader spectrum of cognizance."
+
+The chamber lay still for a heartbeat, the Paranormal Military Squad agents steeped in contemplation of the path unfurling before them—a path paved with possibilities of diplomacy or disruption, each step a venture further into the cosmic unknown.
+
+Alex stepped closer to the viewing monitors, each depicting alien symbols seemingly reaching out from the void. "Initiate the broadcast," he spoke with quiet command. "Our response will mark humanity’s readiness to partake in the wider conversation of conscious beings."
+
+Amidst the crackling air of expectation, the team wordlessly returned to their stations. They had transcended their roles as protectors of Earth's clandestine lore to become the harbingers of an interstellar parley that could change the existential course of life on their pale blue dot.
+
+The deep hum of the terminal emitted a signal—a testament to the uncanny reality that Earth was now actively partaking in an exchange not bound by gravity nor the limits of the solar wind.
+
+Here, in the depths of Dulce, a message from humanity woven from understanding and uncertainty was cast into the firmament, an epitheg of their desire to join the universal dialogue and discover their place among the constellations.
+
+\*
+
+The somber depths of the Dulce Base command center stood in stark counterpoint to the animated flurry of activity around the central comms array. Alex Mercer's silhouette loomed behind Dr. Jordan Hayes, who sat with a posture indicating laser focus on the decryption process. A quiet murmur of digital soundscape filled the space, subtly heightened by the anticipation of contact with an intelligence beyond the Earth.
+
+Jordan's voice was steady, betraying none of the extraordinary nature of their work, "Looking through the signal's pattern, it's evident we’re dealing with a form of intelligence—calculating, mirroring, possibly even understanding."
+
+Alex's reflection bounced off the darkened screens, his head nodding in silent affirmation. "We’re walking a delicate line. Our response should be thoughtful, measured. We’re ambassadors, not merely explorers."
+
+Taylor Cruz approached, arms folded, their words slicing through the din of careful keystrokes and soft whirrs, "If there’s even the slightest chance it understands, we can’t afford missteps. The language of the stars might be more absolute than ours."
+
+From another terminal, Sam Rivera brought youthful vigor to the conversation, "There’s rhythm in these patterns. If this is their way of reaching out, our reply should encapsulate all that we are—all that humanity stands for."
+
+Looking around at his team, Alex saw resolve etched on every face. The chamber, usually somber and echoing with the quiet steps of covert agents, now felt alive with the heartbeat of discovery. They were not just professionals operating in the gloom; they were a collective standing at the helm of a momentous journey.
+
+"Let’s begin," he said, returned by the resolve in his voice. "Every second counts." With that, they pressed forward, setting in motion a reply to a conversation billions of years in the making.
+
+The dance with an unseen partner commenced, each pulse they sent out a step taken with caution and hope. And as those digital pulses journeyed through the black sea of infinity, Earth, for perhaps the first time, joined a pan-galactic dialogue that whispered secrets of the cosmos—secrets that, until now, had been lost in the silent vastness of space.
+
+\*
+
+As the team stood in the centralized nerve center of Dulce's underground fortress, the solemn atmosphere was reverent, overseeing systems that engaged with an intelligence from the void. Alex's stance was contemplative as he gazed at Jordan Hayes, who presided over the console, the tension of the moment reaching a tactile fervor. Each rhythmic tap of Hayes's fingers on the keys was a foray into uncharted symphonies of contact.
+
+Observing Hayes unravel the dense alien encryption, Alex spoke, a diplomatic tenor underpinning his words, "Keep focused on the syntax, dissect its nuances. We're not just decoding signals; we're translating intentions."
+
+Without diverting from their task, Jordan acknowledged the insight. "Indeed, if their understanding of us is as deep as we hope, we're paving the way for dialogue far beyond our current realm."
+
+Taylor Cruz, near the rear of the room, provided a steady oversight. "As horizonless as our prospects may seem," Taylor intoned, "remain diligent. Complacency before alien cognition could spell catastrophe."
+
+Sam's youthful voice resonated with optimism, "Imagine—forming a rapport with a consciousness separate from our reality; we're drafting the bridge to stars alive with minds!"
+
+The sentiment hung for a moment before Alex gathered his conviction. "Dialogue is our vessel. We are not just agents of enigma; we are the threads that may weave a new cosmic relationship." His words seemed to reflect off the walls, reaching beyond the room's confines, a quiet yet resilient vow.
+
+Their task was titanic, stepping stones laid delicately into new territories of existence. The signal, once an esoteric strand in the echo of the universe, beckoned now with a clarity rocketing the complexity of thoughts from a distant order.
+
+Action by action, the Paranormal Military Squad team bridged the vast interstellar distances, their expertise and empathy casting a beacon of unity into frontiers of intelligence and knowledge. Their work, a partnership struck with an unseen cosmic congregation, each pulse sent and received a line in Earth's novitiate envoi to the cosmic shores.
+
+\*
+
+Under the stark, unforgiving lights of Dulce Base's underground command center, tension buzzed harder than the banks of supercomputers that lined the walls. Agent Alex Mercer leaned over the shoulder of Jordan Hayes, whose eyes were locked onto the display screen, where an incomprehensible series of alien symbols streamed past incessantly.
+
+“Any progress on the decryption?” Alex's voice was steady, a controlled presence necessary in the gravity of their undertaking. 
+
+Jordan tapped a key, pausing the flow of code, and leaned back with a deep sigh. "We've broken through another subset of the cipher. It's revealing... well, indications of a complex society, not unlike our own." His eyes met Alex's with an unspoken question that hung heavily between them—were they truly prepared for what they might find?
+
+Taylor Cruz strode into the room, a tightly coiled spring of ambition and authority, and peered at the screen. "Understand their society, and we may predict behavior. Remain expedient—we don't know how much time we have before the situation shifts." There was an edge of stark realism to Taylor's words, the underlying message clear: every revelation bore its own set of risks.
+
+Alex nodded thoughtfully, recognizing the validity of Cruz's caution. Turning to Sam, who was tinkering with a device that buzzed quietly on the table, he asked, “Sam, can your contraption get us any further?”
+
+Sam looked up with a smirk, a twinkle of mischief in their eye. “It’s not just any contraption, it’s potentially a direct line to their thoughts. Give me a moment more, and I'll have something for you.”
+
+The air ticked with electronic beeps and the rustling sound of the Paranormal Military Squad team at work. They were so close to peering into the intelligence of an alien race—a reality on the brink of dramatically expanding their understanding of the universe.
+
+The machinery whirred in response to Sam’s precise touches, and suddenly, the room filled with a low hum—something had changed, a signal had been successfully sent. The team held their breath as they listened. The sound that filled the room was unmistakable: a response, an alien voice filtered through the static of space and time.
+
+Alex exchanged a look of quiet triumph with Jordan. The breakthrough was monumental; they were no longer casting messages into the void but engaged in a dialogue—an exchange that marked the beginning of Operation: Dulce’s true unfolding. This was it, the first steps into an interstellar odyssey that demanded every ounce of their courage and wit.
+
+## Chapter 13
+
+Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive."
+
+A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic."
+
+Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. 
+
+Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field.
+
+The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._
+
+As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come. 
+
+\*
+
+The gritty, wind-tossed surface of New Mexico, just above the cavernous domain of Dulce Base, offered no shelter from the burgeoning storm—the scouring sands an earthly reminder of chaos theories in motion. Far beneath, a similar maelstrom brewed within the confines of the command center, as Paranormal Military Squad's handpicked squad stood poised for potential enormities of contact.
+
+Ruffling through printed transmission logs, Jordan Hayes dialed the focus of their analytical prowess onto the emerging pattern of signals crisscrossing between Earth and the unfathomable. "Our responses so far have echoed their complexity, but the real divergence is yet to come," Jordan remarked stoically, the calm belying the mounting surge of adrenaline for the revelation ahead.
+
+Alex Mercer's figure, a silhouette sharpened by the purpose, loomed at the periphery of the monitors' sickly glow. "Indeed," he assented, "The echoes are the easy part. It will be the introduction of our own, human variable that truly begins our dialogue."
+
+Taylor Cruz, windowless command center notwithstanding, appeared as though they could feel the tempest above. Their eyes never left the monitors as they unspooled their hard wisdom. "For all our advances, we find ourselves deciphering the swings and nuances of an interstellar pendulum. Predict its arc, and we may preempt the gravity of its message."
+
+Amidst a chorus of bleeps and static, Sam Rivera's tech-clad hands moved rhythmically, their spirited approach to unruly streams of data bordering an intimate dance with entropy. "Entropy that leads to discovery," Sam mused, responding to Taylor's metaphor. "Each step into the unknown is a step away from precedent."
+
+Alex, drawing near Jordan, spoke again, his voice now a thread woven through the very fabric of their operations. "Let's be the cartographers of this new territory. Our initial shades of understanding could color the cosmos for generations to come."
+
+Their gazes fell upon a screen as the latest transmission painted its digital blooms of alien script across the black. This time, the pattern wavered in an almost imperceptible fashion, a modification that whispered of active, alien thought awaiting their next move. A hush enveloped the Paranormal Military Squad ensemble, the gravity of the pathogen undeniable. They were about to issue a reply, one poised to reshape the very concept of humanity's outreach into the cosmos.
+
+The New Mexico desert's secrets were infamous, its storms a mere prelude to the revelations that the team—united in purpose—would unleash upon the world. The howling winds outside found their counterpart in the newfound resolve within, as Dulce's stalwart guardians readied themselves to send forth humanity's retort to the echoes from beyond.
+
+\*
+
+The cavernous control room, deeply entrenched beneath the desolate New Mexico terrain, held the Paranormal Military Squad team in intense focus; an island of calm amid the storm of cosmic dialectics. Dr. Jordan Hayes worked methodically, every keystroke an intricate step in their tenuous cosmic ballet. Suddenly, they paused, a signal pattern resonating from the screen. "This is new; it's...inviting. It’s as if the signal is not just calling to us but weaving its intelligence through ours."
+
+Alex Mercer scrutinized the shift in data. "A confluence of minds, then. If we're to meet them halfway, Jordan, our reply must be both innovative and discerning," he proposed, a glimmer of profound curiosity behind his authoritative demeanor.
+
+Taylor Cruz, whose sharp eyes missed nothing, nodded from beside a secondary panel. "Innovative, yes, but also defensive. This interaction is a razor’s edge, and we cannot afford to bleed before the unknown," Taylor reminded them, the metaphor a stark warning of potential dangers.
+
+Against the backdrop of their conversation, Sam Rivera’s youthful optimism cut through the tension. "If they’re weaving through our intellect, then we've achieved something beyond first contact—we're at the genesis of interstellar symbiosis," they posited with a mix of reverence and excitement.
+
+Alex returned Sam’s smile with his own, tempered and faint, as he turned back to the task at hand. The magnitude of their mission extended beyond the fabric of the universe, an exploration into the threads that connected sentient beings across the vast expanse. “Let’s reply with our own woven tapestry of thought—delicate, but deliberate.”
+
+With renewed determination, the room came alive with an undercurrent of anticipation, its occupants charged with the potential of forging an alliance with the cosmos. Paranormal Military Squad's finest were no longer merely soldiers and scientists; they had become pioneers on the vanguard of humanity’s greatest odyssey.
+
+The New Mexican sands above, impassive to the change brewing underneath, stood as silent sentinels as Earth's emissaries crafted their response. A response that, composed with care and imbued with humanity's essence, reached into the void, connecting with an otherworldly intelligence that awaited their harmony in the cosmic conversation.
+
+## Chapter 14
+
+The command center of Dulce Base lay shrouded in shadows that seemed to claw at the edges of the dimly lit array of screens and consoles. Alex Mercer, focused and unwavering, watched as Dr. Jordan Hayes parsed the latest string of alien signals—a symphony of otherworldly communications that threatened to either enlighten or confound.
+
+"We’re encountering a paradigm shift with every transmission," Jordan Hayes murmured, the pulsing glow of the monitor painting their features with an almost spectral hue. "This signal... it’s evolving, becoming denser, more sophisticated. As if it's growing alongside us—tandem evolution."
+
+The air was electric, charged with the raw potential of uncharted discovery and laden with the gravity of existential risk. Taylor Cruz, who always seemed here to mold such gravity into actionable strategies, stepped forward. "We must contain this evolution within parameters we can manage. We cannot be bystanders to an uncontrolled ascent of intelligence."
+
+Sam Rivera, the youngest of the cohort, worked feverishly at their station. "It's not just intelligence—these signals have rhythm, a kind of music suggesting not just evolution, but a dance! We're being invited to partake in the cosmos's ballet!" they exclaimed, a touch of youthful exuberance breaking through the solemnity.
+
+Alex turned, facing his team, the stoic mask of command tempered by the perceptible flicker of awe in his gaze. "Let this dance then be our dialogue. We will match their steps with prudent but daring measures—our humanity as our guide."
+
+In the ensuing hours, the Paranormal Military Squad team forged a rhythm of their own, their collective expertise a beacon piercing through the fog of the unknown. The signal, increasingly intricate and seemingly conscious, now demanded not just observation but participation, an interstellar pas de deux that hummed with the promise and peril of first contact.
+
+Before them, the communications interface flickered to life with a received transmission—a resonant hum that seemed to vibrate through the very foundations of the base. They had successfully established a back-and-forth with whatever intelligence lay hidden among the stars. Every subsequent note they struck within the cosmic ether would come to define humanity's place within the galactic community—heralds of Earth's grand entrance into a universe far less silent than once perceived. 
+
+\*
+
+In the concrete belly of Dulce Base, dimly lit by the jagged dance of fluorescent lights above, Sam Rivera perched on the edge of their seat, their eager fingers fluttering across an ancient keyboard. The stark, cold room—reminiscent of a time when covert operations and unspoken dread ruled supreme—now housed a peculiar blend of old-world machinery and sleek, modern interfaces.
+
+Alex Mercer, standing steadfast like a bridge between the enigmatic past and the unfathomable present, watched on. In his eyes flashed the foreboding excitement of change. "Sam," he started, his voice steadfast, "the patterns in these signals, what do they tell us about the nature of our... guest?"
+
+Sam's eyes glimmered with something akin to thrill—or was it trepidation? "It's like we're mirroring each other, evolving together through this.. dialogue. Like it knows us, understands us, and it's… learning."
+
+Jordan Hayes, preoccupied at a nearby console, chimed in without lifting their gaze. "It's a dialogue that transcends mere words, Alex. We're being woven into a narrative far grander than the sum of our known sciences." 
+
+Taylor Cruz, arms crossed, wore the heavy mantle of their skepticism comfortably. "Keep theorizing," they interjected crisply, "but remember the grounding reality of what we are part of here. This contact is a blade that cuts both ways."
+
+In this cavern of history, voices both human and inhuman whispered secrets to those brave enough to listen. Each member present understood the gravity that pulled at their feet; no longer were they mere mortals shackled to their terrestrial plane. The digital pings and encrypted calls resonated with an implication of a cosmic agenda that would not be ignored.
+
+Jordan's fingers paused, hovering in hesitation. What ripple might the next keystroke send through the fabric of known existence? It was a step into the ballet of the infinite, where the Paranormal Military Squad team played their part in the waltz of wonders with an audience of stars.
+
+\*
+
+## Chapter 15
+
+In the clandestine hush of Dulce Base's subterranean command center, the Paranormal Military Squad team had become a crucible for interstellar communication. Dr. Jordan Hayes' gaze lingered on the screen as they navigated through the convolution of alien code. Each character held the potential to unravel a new dimension of contact, and with Sam Rivera's keen interjection, they were crafting humanity's inaugural cosmological discourse.
+
+Alex Mercer peered over Jordan's shoulder, calculating the implications of every visual nuance that cascaded across the monitor. "Look for consistency—any repeating motifs could signal a willingness to engage. We're drafting history with each exchange," he remarked, aware of the delicate balance between forging a bond and exposing vulnerabilities.
+
+Taylor Cruz, stoic and enigmatic, observed the interplay from the threshold, a silhouette against the machinery's luminescence. "Remember, while we seek common ground, the foundation we stand upon remains Terra firma. Caution must temper our curiosity," they stated, their voice an anchor amidst the current of excitement.
+
+The command center buzzed with energy, rivaled only by the tempest overhead that concealed their operation. Sam, with swift dexterity, navigated the communications relay. "Their signals resonate almost musically. It's as if they're composing a symphony, and we've been handed the baton to conduct the next movement," they offered, imbuing the scenario with a blend of scientific adventurism and poetic license.
+
+Amidst the whirring servers and the occasional flicker of emergency lighting, the essence of their mission transcended mere reconnaissance. They were humanity's elected envoys at the brink of a celestial alliance—or confrontation—with an audience as vast as the universe itself.
+
+Alex stepped back, his profile etched by the chamber's artificial day. "Then let's ensure our contribution to this symphony harmonizes with theirs. It's time for humanity's voice to rise and be counted among the cosmic ensemble."
+
+Under his directive, the Paranormal Military Squad team initiated their calculated response, weaving thoughts and theories into a digital overture aimed at the heart of alien intellect. As the digital stream punctured the endless night, each member of this clandestine group was acutely aware of the irrevocable step they undertook—bringing Earth into the pantheon of galactic entities designed to converse among the stars.
+
+\*
+
+Clusters of high-tech equipment bathed the Dulce underground command center in an eerie blue light. Sam Rivera's fingers flew across the keyboard, navigating an elaborate network of alien patterns. The very air seemed to pulse with the ebb and flow of cryptic communications reaching across the stars. "I've got something!" Sam's announcement tore through the focus in the room, drawing every pair of eyes to the torrent of symbols unraveling on the screen.
+
+With the pacing of a seasoned officer gauging the moment before action, Alex Mercer approached, his calm demeanor belying an acute awareness of the precipice on which they now stood. "Define 'something," Alex prompted, reinforcing the need for clarity amidst the extraordinary.
+
+"It's repeating—a sequence that’s evolved with each interaction, almost as if it's... singing," Sam theorized, the awe in their voice reflecting the potential magnitude of their discovery.
+
+Jordan Hayes interjected from across the console, their eyes not leaving the display as they absorbed the new data. "A cosmic vocalization, then," they mused, intrigued. "A singularity in the signal that might represent a point of reference for both parties."
+
+Taylor Cruz, hands clasped behind their back, regarded the unfolding scene, their own calculations etching lines of concern onto their stern visage. "Or a beacon—a homing tune, calling out to something we might not be ready to greet," Taylor offered, voicing the group's unspoken apprehension.
+
+Alex's eyes locked on the screen, taking in the scope of what they were attempting to interpret. Drawing a deep breath, Alex gave a slight nod. "If this is their song, then let us respond with ours. We've come this far by mirroring their signals, now let's engage in an interstellar duet, and see where the music leads us."
+
+With the expectation of the significant achieving a crescendo, the members of Paranormal Military Squad huddled over their equipment—sages at the threshold of a potentially world-altering communion. The strange harmonies that reverberated through the command center suggested that their interlocutors were poised, waiting, perhaps even eager, for Earth's chorus to join the symphony.
+
+As the team initiated their reply, weaving humanity's own intricate melody into the vast cosmic dialogue, they each felt a profound change within—an evolution of purpose. They were not just messengers or investigators; they had become co-composers in a galactic orchestra, with the universe itself as their witness and concert hall.
+
+With the exchange of harmonious signals crawling through the vacuum of space, the Paranormal Military Squad operatives found themselves part of a bridging of minds—a realization that out there, among the vast arrays of stars and planets, harmony was the true universal language.
+
+\*
+
+The dim glow of monitors cast an otherworldly ambiance upon Dulce Base's command center, where Paranormal Military Squad's chosen stood huddled over their instruments, suspended at history's threshold. Codes—alien in origin and nature—were being deciphered by Dr. Jordan Hayes, whose countenance bore the marks of deep concentration.
+
+Alex Mercer, the bedrock upon which their team's resolve was founded, leaned in with an eagerness tempered by his chain of command. "Jordan, we've invested our expertise into comprehending their patterns, but now we must also endeavor to understand their intent," he urged, his voice bearing the gravitas of their mission's potential consequences.
+
+At another console, Sam Rivera's youth did not betray their crucial role in the operation. With eyes alight, they mirrored the rapid computing before them. "There's emotion here—complex, profound even. This isn't just the output of a cold machine; it's...sentience," Sam whispered, nearly drowned by the mechanical chorus around them.
+
+Jordan, without shifting focus from their work, replied, "It's a sentience that—should we succeed here—ushers us into a new era of existence. The cadence of these signals," they tapped the screen with a flourish, "could well be the heartbeat of this new dawn."
+
+Taylor Cruz paused beside Mercer, their expression unreadable beneath the sterile light. "And as it beats, we must gauge whether its rhythm bodes well for us, or spells our missteps. Courage must not blind us to the hazards intrinsic to such contact," Taylor cautioned, the sentinel within them ever alert.
+
+Alex nodded, a gesture that carried the weight of responsibility and a silent command: proceed, but with circumspection. They were not merely decoding a message; they were interpreting a dialogue across the celestial divide.
+
+The room fell into a rhythm akin to a well-conducted ensemble. Each member's expertise proved a critical note in the unfolding symphony. Their actions were now more than mere research or defense; they were the tentative overtures of humankind reaching out to grasp the vast unknown.
+
+Textures of sound meshed with the light from countless computations, the palpable anticipation of the agents at the edge of discovery cresting with an awareness that their work would reshape future chronicles. And when the response finally came—a signal piercing the deafening silence of uncertainty—all within Dulce's confines understood: the dawn of an interstellar continuum had just begun to break.
+
+\*
+
+In the sterile hum and flickering lights of Dulce Base's command center, the Paranormal Military Squad team stood as humanity's vanguard, verging on the brim of an intergalactic abyss. Dr. Jordan Hayes, analytical edges sharp, deciphered extraterrestrial patterns that bled across screens in enigmatic cascades—a daunting mosaic of potential threats and untapped wisdom.
+
+Agent Alex Mercer, the embodiment of focus and a steadfast nerve, observed the unfolding digital drama with the gravitas due a historic first contact. "Let the data weave its narrative, Jordan," he instructed, a moderate undertone of exhilaration within his command. "It's encoding more than information—it's outlining civilization."
+
+Jordan absorbed the directive, their gaze unflinching from the screens, feeling the weight of their next move. "The nuances here are extraordinary," they acknowledged. "It paints a picture of a culture steeped in complexities we're only starting to fathom.”
+
+Taylor Cruz, stoicism personified yet not immune to the situation's gravity, chimed in. "Understand it, but guard against it," they cautioned, bringing a sober prudence to the room. "This culture, however advanced, remains an unknown quantity—an ocean of wonders and darkness with uncertain tides."
+
+Sam Rivera, a visual contrast with wide eyes and restless hands, represented the other side of the room — intrigue and optimism against the drawn swords of precaution. “Think of it,” they proposed, voice bouncing with a rebellious upbeat timbre, “as the first act of a play written in constellations. We're setting the stage for a galactic narrative.”
+
+Each team member, in their way, was both actor and scribe in this moment of tense pageantry. Heavy with the presence of risk, the command center had become not just a room of computers and glass panels but a theater for performing the elaborate choreography of contact.
+
+Bound by resolve and curiosity, they proceeded, each data entry a trembling step onto the cosmic stage. And like all cautious pioneers edging into fertile but unnavigated lands, they understood: as they mapped the heavens, they were simultaneously mapping the furthest reaches of their own existential horizons.
+
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diff --git a/graphrag/docsite/index.md b/graphrag/docsite/index.md
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+++ b/graphrag/docsite/index.md
@@ -0,0 +1,62 @@
+---
+title: Welcome to GraphRAG
+layout: page
+---
+
+👉 [Microsoft Research Blog Post](https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/) <br/>
+👉 [GraphRAG Accelerator](https://github.com/Azure-Samples/graphrag-accelerator) <br/>
+👉 [GitHub Repository](https://github.com/microsoft/graphrag)<br/>
+👉 [GraphRAG Arxiv](https://arxiv.org/pdf/2404.16130)
+
+<p align="center">
+<img src="img/GraphRag-Figure1.jpg" alt="Figure 1: LLM-generated knowledge graph built from a private dataset using GPT-4 Turbo." width="450" align="center" />
+</p>
+<p align="center">
+Figure 1: An LLM-generated knowledge graph built using GPT-4 Turbo.
+</p>
+
+GraphRAG is a structured, hierarchical approach to Retrieval Augmented Generation (RAG), as opposed to naive semantic-search
+approaches using plain text snippets. The GraphRAG process involves extracting a knowledge graph out of raw text, building a community hierarchy, generating summaries for these communities, and then leveraging these structures when perform RAG-based tasks.
+
+To learn more about GraphRAG and how it can be used to enhance your LLMs ability to reason about your private data, please visit the [Microsoft Research Blog Post](https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/).
+
+## Solution Accelerator 🚀
+
+To quickstart the GraphRAG system we recommend trying the [Solution Accelerator](https://github.com/Azure-Samples/graphrag-accelerator) package. This provides a user-friendly end-to-end experience with Azure resources.
+
+## Get Started with GraphRAG 🚀
+
+To start using GraphRAG, check out the [_Get Started_](posts/get_started) guide.
+For a deeper dive into the main sub-systems, please visit the docpages for the [Indexer](posts/index/overview) and [Query](posts/query/overview) packages.
+
+## GraphRAG vs Baseline RAG 🔍
+
+Retrieval-Augmented Generation (RAG) is a technique to improve LLM outputs using real-world information. This technique is an important part of most LLM-based tools and the majority of RAG approaches use vector similarity as the search technique, which we call _Baseline RAG_. GraphRAG uses knowledge graphs to provide substantial improvements in question-and-answer performance when reasoning about complex information. RAG techniques have shown promise in helping LLMs to reason about _private datasets_ - data that the LLM is not trained on and has never seen before, such as an enterprise’s proprietary research, business documents, or communications. _Baseline RAG_ was created to help solve this problem, but we observe situations where baseline RAG performs very poorly. For example:
+
+- Baseline RAG struggles to connect the dots. This happens when answering a question requires traversing disparate pieces of information through their shared attributes in order to provide new synthesized insights.
+- Baseline RAG performs poorly when being asked to holistically understand summarized semantic concepts over large data collections or even singular large documents.
+
+To address this, the tech community is working to develop methods that extend and enhance RAG. Microsoft Research’s new approach, GraphRAG, uses LLMs to create a knowledge graph based on an input corpus. This graph, along with community summaries and graph machine learning outputs, are used to augment prompts at query time. GraphRAG shows substantial improvement in answering the two classes of questions described above, demonstrating intelligence or mastery that outperforms other approaches previously applied to private datasets.
+
+## The GraphRAG Process 🤖
+
+GraphRAG builds upon our prior [research](https://www.microsoft.com/en-us/worklab/patterns-hidden-inside-the-org-chart) and [tooling](https://github.com/graspologic-org/graspologic) using graph machine learning. The basic steps of the GraphRAG process are as follows:
+
+### Index
+
+- Slice up an input corpus into a series of TextUnits, which act as analyzable units for the rest of the process, and provide fine-grained references into our outputs.
+- Extract all entities, relationships, and key claims from the TextUnits using an LLM.
+- Perform a hierarchical clustering of the graph using the [Leiden technique](https://arxiv.org/pdf/1810.08473.pdf). To see this visually, check out Figure 1 above. Each circle is an entity (e.g., a person, place, or organization), with the size representing the degree of the entity, and the color representing its community.
+- Generate summaries of each community and its constituents from the bottom-up. This aids in holistic understanding of the dataset.
+
+### Query
+
+At query time, these structures are used to provide materials for the LLM context window when answering a question. The primary query modes are:
+
+- [_Global Search_](posts/query/0-global_search) for reasoning about holistic questions about the corpus by leveraging the community summaries.
+- [_Local Search_](posts/query/1-local_search) for reasoning about specific entities by fanning-out to their neighbors and associated concepts.
+
+### Prompt Tuning
+
+Using _GraphRAG_ with your data out of the box may not yield the best possible results.
+We strongly recommend to fine-tune your prompts following the [Prompt Tuning Guide](posts/prompt_tuning/overview/) in our documentation.
diff --git a/graphrag/docsite/nbdocsite_template/conf.json b/graphrag/docsite/nbdocsite_template/conf.json
new file mode 100644
index 0000000000000000000000000000000000000000..62feba72d477f55e690f1b3e145f34bea25066fa
--- /dev/null
+++ b/graphrag/docsite/nbdocsite_template/conf.json
@@ -0,0 +1,5 @@
+{
+    "mimetypes": {
+      "text/markdown": true
+    }
+  }
\ No newline at end of file
diff --git a/graphrag/docsite/nbdocsite_template/index.md.j2 b/graphrag/docsite/nbdocsite_template/index.md.j2
new file mode 100644
index 0000000000000000000000000000000000000000..46b7b5fada21b2eddf28d677ecf11239d7b4d23d
--- /dev/null
+++ b/graphrag/docsite/nbdocsite_template/index.md.j2
@@ -0,0 +1,94 @@
+{% extends 'base/display_priority.j2' %}
+
+
+{%- block header -%}
+---
+title: 
+layout: page
+tags: [post, notebook]
+---
+{%- endblock header -%}
+
+{% block in_prompt %}
+{% endblock in_prompt %}
+
+{% block output_prompt %}
+{%- endblock output_prompt %}
+
+{% block input %}
+```
+{%- if 'magics_language' in cell.metadata  -%}
+    {{ cell.metadata.magics_language}}
+{%- elif 'name' in nb.metadata.get('language_info', {}) -%}
+    {{ nb.metadata.language_info.name }}
+{%- endif %}
+{{ cell.source}}
+```
+{% endblock input %}
+
+{% block error %}
+{{ super() }}
+{% endblock error %}
+
+{% block traceback_line %}
+{{ line | indent | strip_ansi }}
+{% endblock traceback_line %}
+
+{% block execute_result %}
+
+{% block data_priority scoped %}
+{{ super() }}
+{% endblock %}
+{% endblock execute_result %}
+
+{% block stream %}
+{{ output.text | indent }}
+{% endblock stream %}
+
+{% block data_svg %}
+    {% if "filenames" in output.metadata %}
+![svg]({{ output.metadata.filenames['image/svg+xml'] | path2url }})
+    {% else %}
+![svg](data:image/svg;base64,{{ output.data['image/svg+xml'] }})
+    {% endif %}
+{% endblock data_svg %}
+
+{% block data_png %}
+    {% if "filenames" in output.metadata %}
+![png]({{ output.metadata.filenames['image/png'] | path2url }})
+    {% else %}
+![png](data:image/png;base64,{{ output.data['image/png'] }})
+    {% endif %}
+{% endblock data_png %}
+
+{% block data_jpg %}
+    {% if "filenames" in output.metadata %}
+![jpeg]({{ output.metadata.filenames['image/jpeg'] | path2url }})
+    {% else %}
+![jpeg](data:image/jpeg;base64,{{ output.data['image/jpeg'] }})
+    {% endif %}
+{% endblock data_jpg %}
+
+{% block data_latex %}
+{{ output.data['text/latex'] }}
+{% endblock data_latex %}
+
+{% block data_html scoped %}
+{{ output.data['text/html'] }}
+{% endblock data_html %}
+
+{% block data_markdown scoped %}
+{{ output.data['text/markdown'] }}
+{% endblock data_markdown %}
+
+{% block data_text scoped %}
+{{ output.data['text/plain'] | indent }}
+{% endblock data_text %}
+
+{% block markdowncell scoped %}
+{{ cell.source }}
+{% endblock markdowncell %}
+
+{% block unknowncell scoped %}
+unknown type  {{ cell.type }}
+{% endblock unknowncell %}
\ No newline at end of file
diff --git a/graphrag/docsite/package.json b/graphrag/docsite/package.json
new file mode 100644
index 0000000000000000000000000000000000000000..4ed4295a349303fb6a5a726e59ef7d35b67e0725
--- /dev/null
+++ b/graphrag/docsite/package.json
@@ -0,0 +1,18 @@
+{
+    "name": "@graphrag/docsite",
+    "version": "0.0.1",
+    "private": true,
+    "scripts": {
+        "start": "eleventy --serve",
+        "build": "eleventy && touch _site/.nojekyll",
+        "build:docs": "yarn build",
+        "start:docs": "yarn start"
+    },
+    "dependencies": {
+        "@11ty/eleventy": "^2.0.1",
+        "@11ty/eleventy-plugin-syntaxhighlight": "^5.0.0",
+        "@kevingimbel/eleventy-plugin-mermaid": "^2.2.1",
+        "eleventy-plugin-code-clipboard": "^0.1.1",
+        "markdown-it": "^14.1.0"
+    }
+}
diff --git a/graphrag/docsite/posts/config/custom.md b/graphrag/docsite/posts/config/custom.md
new file mode 100644
index 0000000000000000000000000000000000000000..c6f051cdbc24a0a11648bc46a21d254d2daf8d42
--- /dev/null
+++ b/graphrag/docsite/posts/config/custom.md
@@ -0,0 +1,168 @@
+---
+title: Custom Configuration Mode
+navtitle: Fully Custom Config
+layout: page
+tags: [post]
+date: 2023-01-04
+---
+
+The primary configuration sections for Indexing Engine pipelines are described below. Each configuration section can be expressed in Python (for use in Python API mode) as well as YAML, but YAML is show here for brevity.
+
+Using custom configuration is an advanced use-case. Most users will want to use the [Default Configuration](/posts/config/overview) instead.
+
+## Indexing Engine Examples
+
+The [examples](https://github.com/microsoft/graphrag/blob/main/examples/) directory contains several examples of how to use the indexing engine with _custom configuration_.
+
+Most examples include two different forms of running the pipeline, both are contained in the examples `run.py`
+
+1. Using mostly the Python API
+2. Using mostly the a pipeline configuration file
+
+To run an example:
+
+- Run `poetry shell` to activate a virtual environment with the required dependencies.
+- Run `PYTHONPATH="$(pwd)" python examples/path_to_example/run.py` from the `root` directory.
+
+For example to run the single_verb example, you would run the following commands:
+
+```bash
+poetry shell
+```
+
+```sh
+PYTHONPATH="$(pwd)" python examples/single_verb/run.py
+```
+
+# Configuration Sections
+
+# > extends
+
+This configuration allows you to extend a base configuration file or files.
+
+```yaml
+# single base
+extends: ../base_config.yml
+```
+
+```yaml
+# multiple bases
+extends:
+  - ../base_config.yml
+  - ../base_config2.yml
+```
+
+# > root_dir
+
+This configuration allows you to set the root directory for the pipeline. All data inputs and outputs are assumed to be relative to this path.
+
+```yaml
+root_dir: /workspace/data_project
+```
+
+# > storage
+
+This configuration allows you define the output strategy for the pipeline.
+
+- `type`: The type of storage to use. Options are `file`, `memory`, and `blob`
+- `base_dir` (`type: file` only): The base directory to store the data in. This is relative to the config root.
+- `connection_string` (`type: blob` only): The connection string to use for blob storage.
+- `container_name` (`type: blob` only): The container to use for blob storage.
+
+# > cache
+
+This configuration allows you define the cache strategy for the pipeline.
+
+- `type`: The type of cache to use. Options are `file` and `memory`, and `blob`.
+- `base_dir` (`type: file` only): The base directory to store the cache in. This is relative to the config root.
+- `connection_string` (`type: blob` only): The connection string to use for blob storage.
+- `container_name` (`type: blob` only): The container to use for blob storage.
+
+# > reporting
+
+This configuration allows you define the reporting strategy for the pipeline. Report files are generated artifacts that summarize the performance metrics of the pipeline and emit any error messages.
+
+- `type`: The type of reporting to use. Options are `file`, `memory`, and `blob`
+- `base_dir` (`type: file` only): The base directory to store the reports in. This is relative to the config root.
+- `connection_string` (`type: blob` only): The connection string to use for blob storage.
+- `container_name` (`type: blob` only): The container to use for blob storage.
+
+# > workflows
+
+This configuration section defines the workflow DAG for the pipeline. Here we define an array of workflows and express their inter-dependencies in steps:
+
+- `name`: The name of the workflow. This is used to reference the workflow in other parts of the config.
+- `steps`: The DataShaper steps that this workflow comprises. If a step defines an input in the form of `workflow:<workflow_name>`, then it is assumed to have a dependency on the output of that workflow.
+
+```yaml
+workflows:
+  - name: workflow1
+    steps:
+      - verb: derive
+        args:
+          column1: "col1"
+          column2: "col2"
+  - name: workflow2
+    steps:
+      - verb: derive
+        args:
+          column1: "col1"
+          column2: "col2"
+        input:
+          # dependency established here
+          source: workflow:workflow1
+```
+
+# > input
+
+- `type`: The type of input to use. Options are `file` or `blob`.
+- `file_type`: The file type field discriminates between the different input types. Options are `csv` and `text`.
+- `base_dir`: The base directory to read the input files from. This is relative to the config file.
+- `file_pattern`: A regex to match the input files. The regex must have named groups for each of the fields in the file_filter.
+- `post_process`: A DataShaper workflow definition to apply to the input before executing the primary workflow.
+- `source_column` (`type: csv` only): The column containing the source/author of the data
+- `text_column` (`type: csv` only): The column containing the text of the data
+- `timestamp_column` (`type: csv` only): The column containing the timestamp of the data
+- `timestamp_format` (`type: csv` only): The format of the timestamp
+
+```yaml
+input:
+  type: file
+  file_type: csv
+  base_dir: ../data/csv # the directory containing the CSV files, this is relative to the config file
+  file_pattern: '.*[\/](?P<source>[^\/]+)[\/](?P<year>\d{4})-(?P<month>\d{2})-(?P<day>\d{2})_(?P<author>[^_]+)_\d+\.csv$' # a regex to match the CSV files
+  # An additional file filter which uses the named groups from the file_pattern to further filter the files
+  # file_filter:
+  #   # source: (source_filter)
+  #   year: (2023)
+  #   month: (06)
+  #   # day: (22)
+  source_column: "author" # the column containing the source/author of the data
+  text_column: "message" # the column containing the text of the data
+  timestamp_column: "date(yyyyMMddHHmmss)" # optional, the column containing the timestamp of the data
+  timestamp_format: "%Y%m%d%H%M%S" # optional,  the format of the timestamp
+  post_process: # Optional, set of steps to process the data before going into the workflow
+    - verb: filter
+      args:
+        column: "title",
+        value: "My document"
+```
+
+```yaml
+input:
+  type: file
+  file_type: csv
+  base_dir: ../data/csv # the directory containing the CSV files, this is relative to the config file
+  file_pattern: '.*[\/](?P<source>[^\/]+)[\/](?P<year>\d{4})-(?P<month>\d{2})-(?P<day>\d{2})_(?P<author>[^_]+)_\d+\.csv$' # a regex to match the CSV files
+  # An additional file filter which uses the named groups from the file_pattern to further filter the files
+  # file_filter:
+  #   # source: (source_filter)
+  #   year: (2023)
+  #   month: (06)
+  #   # day: (22)
+  post_process: # Optional, set of steps to process the data before going into the workflow
+    - verb: filter
+      args:
+        column: "title",
+        value: "My document"
+```
diff --git a/graphrag/docsite/posts/config/env_vars.md b/graphrag/docsite/posts/config/env_vars.md
new file mode 100644
index 0000000000000000000000000000000000000000..0dd133d6c9865a1524f25dd31f2d71d4755ff4a4
--- /dev/null
+++ b/graphrag/docsite/posts/config/env_vars.md
@@ -0,0 +1,220 @@
+---
+title: Default Configuration Mode (using Env Vars)
+navtitle: Using Env Vars
+tags: [post]
+layout: page
+date: 2023-01-03
+---
+
+## Text-Embeddings Customization
+
+By default, the GraphRAG indexer will only emit embeddings required for our query methods. However, the model has embeddings defined for all plaintext fields, and these can be generated by setting the `GRAPHRAG_EMBEDDING_TARGET` environment variable to `all`.
+
+If the embedding target is `all`, and you want to only embed a subset of these fields, you may specify which embeddings to skip using the `GRAPHRAG_EMBEDDING_SKIP` argument described below.
+
+### Embedded Fields
+
+- `text_unit.text`
+- `document.raw_content`
+- `entity.name`
+- `entity.description`
+- `relationship.description`
+- `community.title`
+- `community.summary`
+- `community.full_content`
+
+## Input Data
+
+Our pipeline can ingest .csv or .txt data from an input folder. These files can be nested within subfolders. To configure how input data is handled, what fields are mapped over, and how timestamps are parsed, look for configuration values starting with `GRAPHRAG_INPUT_` below. In general, CSV-based data provides the most customizeability. Each CSV should at least contain a `text` field (which can be mapped with environment variables), but it's helpful if they also have `title`, `timestamp`, and `source` fields. Additional fields can be included as well, which will land as extra fields on the `Document` table.
+
+## Base LLM Settings
+
+These are the primary settings for configuring LLM connectivity.
+
+| Parameter                   | Required?                             | Description                                                                                                                     | Type  | Default Value |
+| --------------------------- | ------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------- | ----- | ------------- |
+| `GRAPHRAG_API_KEY`          | **Yes for OpenAI. Optional for AOAI** | The API key. (Note: `OPENAI_API_KEY is also used as a fallback). If not defined when using AOAI, managed identity will be used. | `str` | `None`        |
+| `GRAPHRAG_API_BASE`         | **For AOAI**                          | The API Base URL                                                                                                                | `str` | `None`        |
+| `GRAPHRAG_API_VERSION`      | **For AOAI**                          | The AOAI API version.                                                                                                           | `str` | `None`        |
+| `GRAPHRAG_API_ORGANIZATION` |                                       | The AOAI organization.                                                                                                          | `str` | `None`        |
+| `GRAPHRAG_API_PROXY`        |                                       | The AOAI proxy.                                                                                                                 | `str` | `None`        |
+
+## Text Generation Settings
+
+These settings control the text generation model used by the pipeline. Any settings with a fallback will use the base LLM settings, if available.
+
+| Parameter                                         | Required?                | Description                                                                    | Type    | Default Value         |
+| ------------------------------------------------- | ------------------------ | ------------------------------------------------------------------------------ | ------- | --------------------- |
+| `GRAPHRAG_LLM_TYPE`                               | **For AOAI**             | The LLM operation type. Either `openai_chat` or `azure_openai_chat`            | `str`   | `openai_chat`         |
+| `GRAPHRAG_LLM_DEPLOYMENT_NAME`                    | **For AOAI**             | The AOAI model deployment name.                                                | `str`   | `None`                |
+| `GRAPHRAG_LLM_API_KEY`                            | Yes (uses fallback)      | The API key. If not defined when using AOAI, managed identity will be used.    | `str`   | `None`                |
+| `GRAPHRAG_LLM_API_BASE`                           | For AOAI (uses fallback) | The API Base URL                                                               | `str`   | `None`                |
+| `GRAPHRAG_LLM_API_VERSION`                        | For AOAI (uses fallback) | The AOAI API version.                                                          | `str`   | `None`                |
+| `GRAPHRAG_LLM_API_ORGANIZATION`                   | For AOAI (uses fallback) | The AOAI organization.                                                         | `str`   | `None`                |
+| `GRAPHRAG_LLM_API_PROXY`                          |                          | The AOAI proxy.                                                                | `str`   | `None`                |
+| `GRAPHRAG_LLM_MODEL`                              |                          | The LLM model.                                                                 | `str`   | `gpt-4-turbo-preview` |
+| `GRAPHRAG_LLM_MAX_TOKENS`                         |                          | The maximum number of tokens.                                                  | `int`   | `4000`                |
+| `GRAPHRAG_LLM_REQUEST_TIMEOUT`                    |                          | The maximum number of seconds to wait for a response from the chat client.     | `int`   | `180`                 |
+| `GRAPHRAG_LLM_MODEL_SUPPORTS_JSON`                |                          | Indicates whether the given model supports JSON output mode. `True` to enable. | `str`   | `None`                |
+| `GRAPHRAG_LLM_THREAD_COUNT`                       |                          | The number of threads to use for LLM parallelization.                          | `int`   | 50                    |
+| `GRAPHRAG_LLM_THREAD_STAGGER`                     |                          | The time to wait (in seconds) between starting each thread.                    | `float` | 0.3                   |
+| `GRAPHRAG_LLM_CONCURRENT_REQUESTS`                |                          | The number of concurrent requests to allow for the embedding client.           | `int`   | 25                    |
+| `GRAPHRAG_LLM_TOKENS_PER_MINUTE`                  |                          | The number of tokens per minute to allow for the LLM client. 0 = Bypass        | `int`   | 0                     |
+| `GRAPHRAG_LLM_REQUESTS_PER_MINUTE`                |                          | The number of requests per minute to allow for the LLM client. 0 = Bypass      | `int`   | 0                     |
+| `GRAPHRAG_LLM_MAX_RETRIES`                        |                          | The maximum number of retries to attempt when a request fails.                 | `int`   | 10                    |
+| `GRAPHRAG_LLM_MAX_RETRY_WAIT`                     |                          | The maximum number of seconds to wait between retries.                         | `int`   | 10                    |
+| `GRAPHRAG_LLM_SLEEP_ON_RATE_LIMIT_RECOMMENDATION` |                          | Whether to sleep on rate limit recommendation. (Azure Only)                    | `bool`  | `True`                |
+| `GRAPHRAG_LLM_TEMPERATURE`                        |                          | The temperature to use generation.                                             | `float` | 0                     |
+| `GRAPHRAG_LLM_TOP_P`                              |                          | The top_p to use for sampling.                                                 | `float` | 1                     |
+| `GRAPHRAG_LLM_N`                                  |                          | The number of responses to generate.                                           | `int`   | 1                     |
+
+## Text Embedding Settings
+
+These settings control the text embedding model used by the pipeline. Any settings with a fallback will use the base LLM settings, if available.
+
+| Parameter                                               | Required ?               | Description                                                                                                                | Type    | Default                  |
+| ------------------------------------------------------- | ------------------------ | -------------------------------------------------------------------------------------------------------------------------- | ------- | ------------------------ |
+| `GRAPHRAG_EMBEDDING_TYPE`                               | **For AOAI**             | The embedding client to use. Either `openai_embedding` or `azure_openai_embedding`                                         | `str`   | `openai_embedding`       |
+| `GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME`                    | **For AOAI**             | The AOAI deployment name.                                                                                                  | `str`   | `None`                   |
+| `GRAPHRAG_EMBEDDING_API_KEY`                            | Yes (uses fallback)      | The API key to use for the embedding client. If not defined when using AOAI, managed identity will be used.                | `str`   | `None`                   |
+| `GRAPHRAG_EMBEDDING_API_BASE`                           | For AOAI (uses fallback) | The API base URL.                                                                                                          | `str`   | `None`                   |
+| `GRAPHRAG_EMBEDDING_API_VERSION`                        | For AOAI (uses fallback) | The AOAI API version to use for the embedding client.                                                                      | `str`   | `None`                   |
+| `GRAPHRAG_EMBEDDING_API_ORGANIZATION`                   | For AOAI (uses fallback) | The AOAI organization to use for the embedding client.                                                                     | `str`   | `None`                   |
+| `GRAPHRAG_EMBEDDING_API_PROXY`                          |                          | The AOAI proxy to use for the embedding client.                                                                            | `str`   | `None`                   |
+| `GRAPHRAG_EMBEDDING_MODEL`                              |                          | The model to use for the embedding client.                                                                                 | `str`   | `text-embedding-3-small` |
+| `GRAPHRAG_EMBEDDING_BATCH_SIZE`                         |                          | The number of texts to embed at once. [(Azure limit is 16)](https://learn.microsoft.com/en-us/azure/ai-ce)                 | `int`   | 16                       |
+| `GRAPHRAG_EMBEDDING_BATCH_MAX_TOKENS`                   |                          | The maximum tokens per batch [(Azure limit is 8191)](https://learn.microsoft.com/en-us/azure/ai-services/openai/reference) | `int`   | 8191                     |
+| `GRAPHRAG_EMBEDDING_TARGET`                             |                          | The target fields to embed. Either `required` or `all`.                                                                    | `str`   | `required`               |
+| `GRAPHRAG_EMBEDDING_SKIP`                               |                          | A comma-separated list of fields to skip embeddings for . (e.g. 'relationship.description')                                | `str`   | `None`                   |
+| `GRAPHRAG_EMBEDDING_THREAD_COUNT`                       |                          | The number of threads to use for parallelization for embeddings.                                                           | `int`   |                          |
+| `GRAPHRAG_EMBEDDING_THREAD_STAGGER`                     |                          | The time to wait (in seconds) between starting each thread for embeddings.                                                 | `float` | 50                       |
+| `GRAPHRAG_EMBEDDING_CONCURRENT_REQUESTS`                |                          | The number of concurrent requests to allow for the embedding client.                                                       | `int`   | 25                       |
+| `GRAPHRAG_EMBEDDING_TOKENS_PER_MINUTE`                  |                          | The number of tokens per minute to allow for the embedding client. 0 = Bypass                                              | `int`   | 0                        |
+| `GRAPHRAG_EMBEDDING_REQUESTS_PER_MINUTE`                |                          | The number of requests per minute to allow for the embedding client. 0 = Bypass                                            | `int`   | 0                        |
+| `GRAPHRAG_EMBEDDING_MAX_RETRIES`                        |                          | The maximum number of retries to attempt when a request fails.                                                             | `int`   | 10                       |
+| `GRAPHRAG_EMBEDDING_MAX_RETRY_WAIT`                     |                          | The maximum number of seconds to wait between retries.                                                                     | `int`   | 10                       |
+| `GRAPHRAG_EMBEDDING_TARGET`                             |                          | The target fields to embed. Either `required` or `all`.                                                                    | `str`   | `required`               |
+| `GRAPHRAG_EMBEDDING_SLEEP_ON_RATE_LIMIT_RECOMMENDATION` |                          | Whether to sleep on rate limit recommendation. (Azure Only)                                                                | `bool`  | `True`                   |
+
+## Input Settings
+
+These settings control the data input used by the pipeline. Any settings with a fallback will use the base LLM settings, if available.
+
+### Plaintext Input Data (`GRAPHRAG_INPUT_FILE_TYPE`=text)
+
+| Parameter                     | Description                                                                       | Type  | Required or Optional | Default    |
+| ----------------------------- | --------------------------------------------------------------------------------- | ----- | -------------------- | ---------- |
+| `GRAPHRAG_INPUT_FILE_PATTERN` | The file pattern regexp to use when reading input files from the input directory. | `str` | optional             | `.*\.txt$` |
+
+### CSV Input Data (`GRAPHRAG_INPUT_FILE_TYPE`=csv)
+
+| Parameter                                   | Description                                                                                                                                                        | Type  | Required or Optional | Default    |
+| ------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ----- | -------------------- | ---------- |
+| `GRAPHRAG_INPUT_TYPE`                       | The input storage type to use when reading files. (`file` or `blob`)                                                                                               | `str` | optional             | `file`     |
+| `GRAPHRAG_INPUT_FILE_PATTERN`               | The file pattern regexp to use when reading input files from the input directory.                                                                                  | `str` | optional             | `.*\.txt$` |
+| `GRAPHRAG_INPUT_SOURCE_COLUMN`              | The 'source' column to use when reading CSV input files.                                                                                                           | `str` | optional             | `source`   |
+| `GRAPHRAG_INPUT_TIMESTAMP_COLUMN`           | The 'timestamp' column to use when reading CSV input files.                                                                                                        | `str` | optional             | `None`     |
+| `GRAPHRAG_INPUT_TIMESTAMP_FORMAT`           | The timestamp format to use when parsing timestamps in the timestamp column.                                                                                       | `str` | optional             | `None`     |
+| `GRAPHRAG_INPUT_TEXT_COLUMN`                | The 'text' column to use when reading CSV input files.                                                                                                             | `str` | optional             | `text`     |
+| `GRAPHRAG_INPUT_DOCUMENT_ATTRIBUTE_COLUMNS` | A list of CSV columns, comma-separated, to incorporate as document fields.                                                                                         | `str` | optional             | `id`       |
+| `GRAPHRAG_INPUT_TITLE_COLUMN`               | The 'title' column to use when reading CSV input files.                                                                                                            | `str` | optional             | `title`    |
+| `GRAPHRAG_INPUT_STORAGE_ACCOUNT_BLOB_URL`   | The Azure Storage blob endpoint to use when in `blob` mode and using managed identity. Will have the format `https://<storage_account_name>.blob.core.windows.net` | `str` | optional             | `None`     |
+| `GRAPHRAG_INPUT_CONNECTION_STRING`          | The connection string to use when reading CSV input files from Azure Blob Storage.                                                                                 | `str` | optional             | `None`     |
+| `GRAPHRAG_INPUT_CONTAINER_NAME`             | The container name to use when reading CSV input files from Azure Blob Storage.                                                                                    | `str` | optional             | `None`     |
+| `GRAPHRAG_INPUT_BASE_DIR`                   | The base directory to read input files from.                                                                                                                       | `str` | optional             | `None`     |
+
+## Data Mapping Settings
+
+| Parameter                  | Description                                              | Type  | Required or Optional | Default |
+| -------------------------- | -------------------------------------------------------- | ----- | -------------------- | ------- |
+| `GRAPHRAG_INPUT_FILE_TYPE` | The type of input data, `csv` or `text`                  | `str` | optional             | `text`  |
+| `GRAPHRAG_INPUT_ENCODING`  | The encoding to apply when reading CSV/text input files. | `str` | optional             | `utf-8` |
+
+## Data Chunking
+
+| Parameter                   | Description                                                                                 | Type  | Required or Optional | Default |
+| --------------------------- | ------------------------------------------------------------------------------------------- | ----- | -------------------- | ------- |
+| `GRAPHRAG_CHUNK_SIZE`       | The chunk size in tokens for text-chunk analysis windows.                                   | `str` | optional             | 1200    |
+| `GRAPHRAG_CHUNK_OVERLAP`    | The chunk overlap in tokens for text-chunk analysis windows.                                | `str` | optional             | 100     |
+| `GRAPHRAG_CHUNK_BY_COLUMNS` | A comma-separated list of document attributes to groupby when performing TextUnit chunking. | `str` | optional             | `id`    |
+
+## Prompting Overrides
+
+| Parameter                                     | Description                                                                                | Type     | Required or Optional | Default                                                          |
+| --------------------------------------------- | ------------------------------------------------------------------------------------------ | -------- | -------------------- | ---------------------------------------------------------------- |
+| `GRAPHRAG_ENTITY_EXTRACTION_PROMPT_FILE`      | The path (relative to the root) of an entity extraction prompt template text file.         | `str`    | optional             | `None`                                                           |
+| `GRAPHRAG_ENTITY_EXTRACTION_MAX_GLEANINGS`    | The maximum number of redrives (gleanings) to invoke when extracting entities in a loop.   | `int`    | optional             | 1                                                                |
+| `GRAPHRAG_ENTITY_EXTRACTION_ENTITY_TYPES`     | A comma-separated list of entity types to extract.                                         | `str`    | optional             | `organization,person,event,geo`                                  |
+| `GRAPHRAG_SUMMARIZE_DESCRIPTIONS_PROMPT_FILE` | The path (relative to the root) of an description summarization prompt template text file. | `str`    | optional             | `None`                                                           |
+| `GRAPHRAG_SUMMARIZE_DESCRIPTIONS_MAX_LENGTH`  | The maximum number of tokens to generate per description summarization.                    | `int`    | optional             | 500                                                              |
+| `GRAPHRAG_CLAIM_EXTRACTION_ENABLED`           | Whether claim extraction is enabled for this pipeline.                                     | `bool`   | optional             | `False`                                                          |
+| `GRAPHRAG_CLAIM_EXTRACTION_DESCRIPTION`       | The claim_description prompting argument to utilize.                                       | `string` | optional             | "Any claims or facts that could be relevant to threat analysis." |
+| `GRAPHRAG_CLAIM_EXTRACTION_PROMPT_FILE`       | The claim extraction prompt to utilize.                                                    | `string` | optional             | `None`                                                           |
+| `GRAPHRAG_CLAIM_EXTRACTION_MAX_GLEANINGS`     | The maximum number of redrives (gleanings) to invoke when extracting claims in a loop.     | `int`    | optional             | 1                                                                |
+| `GRAPHRAG_COMMUNITY_REPORTS_PROMPT_FILE`      | The community reports extraction prompt to utilize.                                        | `string` | optional             | `None`                                                           |
+| `GRAPHRAG_COMMUNITY_REPORTS_MAX_LENGTH`       | The maximum number of tokens to generate per community reports.                            | `int`    | optional             | 1500                                                             |
+
+## Storage
+
+This section controls the storage mechanism used by the pipeline used for emitting output tables.
+
+| Parameter                                   | Description                                                                                                                                                        | Type  | Required or Optional | Default |
+| ------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ----- | -------------------- | ------- |
+| `GRAPHRAG_STORAGE_TYPE`                     | The type of reporter to use. Options are `file`, `memory`, or `blob`                                                                                               | `str` | optional             | `file`  |
+| `GRAPHRAG_STORAGE_STORAGE_ACCOUNT_BLOB_URL` | The Azure Storage blob endpoint to use when in `blob` mode and using managed identity. Will have the format `https://<storage_account_name>.blob.core.windows.net` | `str` | optional             | None    |
+| `GRAPHRAG_STORAGE_CONNECTION_STRING`        | The Azure Storage connection string to use when in `blob` mode.                                                                                                    | `str` | optional             | None    |
+| `GRAPHRAG_STORAGE_CONTAINER_NAME`           | The Azure Storage container name to use when in `blob` mode.                                                                                                       | `str` | optional             | None    |
+| `GRAPHRAG_STORAGE_BASE_DIR`                 | The base path to data outputs outputs.                                                                                                                             | `str` | optional             | None    |
+
+## Cache
+
+This section controls the cache mechanism used by the pipeline. This is used to cache LLM invocation results.
+
+| Parameter                                 | Description                                                                                                                                                        | Type  | Required or Optional | Default |
+| ----------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ----- | -------------------- | ------- |
+| `GRAPHRAG_CACHE_TYPE`                     | The type of cache to use. Options are `file`, `memory`, `none` or `blob`                                                                                           | `str` | optional             | `file`  |
+| `GRAPHRAG_CACHE_STORAGE_ACCOUNT_BLOB_URL` | The Azure Storage blob endpoint to use when in `blob` mode and using managed identity. Will have the format `https://<storage_account_name>.blob.core.windows.net` | `str` | optional             | None    |
+| `GRAPHRAG_CACHE_CONNECTION_STRING`        | The Azure Storage connection string to use when in `blob` mode.                                                                                                    | `str` | optional             | None    |
+| `GRAPHRAG_CACHE_CONTAINER_NAME`           | The Azure Storage container name to use when in `blob` mode.                                                                                                       | `str` | optional             | None    |
+| `GRAPHRAG_CACHE_BASE_DIR`                 | The base path to the reporting outputs.                                                                                                                            | `str` | optional             | None    |
+
+## Reporting
+
+This section controls the reporting mechanism used by the pipeline, for common events and error messages. The default is to write reports to a file in the output directory. However, you can also choose to write reports to the console or to an Azure Blob Storage container.
+
+| Parameter                                     | Description                                                                                                                                                        | Type  | Required or Optional | Default |
+| --------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------ | ----- | -------------------- | ------- |
+| `GRAPHRAG_REPORTING_TYPE`                     | The type of reporter to use. Options are `file`, `console`, or `blob`                                                                                              | `str` | optional             | `file`  |
+| `GRAPHRAG_REPORTING_STORAGE_ACCOUNT_BLOB_URL` | The Azure Storage blob endpoint to use when in `blob` mode and using managed identity. Will have the format `https://<storage_account_name>.blob.core.windows.net` | `str` | optional             | None    |
+| `GRAPHRAG_REPORTING_CONNECTION_STRING`        | The Azure Storage connection string to use when in `blob` mode.                                                                                                    | `str` | optional             | None    |
+| `GRAPHRAG_REPORTING_CONTAINER_NAME`           | The Azure Storage container name to use when in `blob` mode.                                                                                                       | `str` | optional             | None    |
+| `GRAPHRAG_REPORTING_BASE_DIR`                 | The base path to the reporting outputs.                                                                                                                            | `str` | optional             | None    |
+
+## Node2Vec Parameters
+
+| Parameter                       | Description                              | Type   | Required or Optional | Default |
+| ------------------------------- | ---------------------------------------- | ------ | -------------------- | ------- |
+| `GRAPHRAG_NODE2VEC_ENABLED`     | Whether to enable Node2Vec               | `bool` | optional             | False   |
+| `GRAPHRAG_NODE2VEC_NUM_WALKS`   | The Node2Vec number of walks to perform  | `int`  | optional             | 10      |
+| `GRAPHRAG_NODE2VEC_WALK_LENGTH` | The Node2Vec walk length                 | `int`  | optional             | 40      |
+| `GRAPHRAG_NODE2VEC_WINDOW_SIZE` | The Node2Vec window size                 | `int`  | optional             | 2       |
+| `GRAPHRAG_NODE2VEC_ITERATIONS`  | The number of iterations to run node2vec | `int`  | optional             | 3       |
+| `GRAPHRAG_NODE2VEC_RANDOM_SEED` | The random seed to use for node2vec      | `int`  | optional             | 597832  |
+
+## Data Snapshotting
+
+| Parameter                           | Description                                 | Type   | Required or Optional | Default |
+| ----------------------------------- | ------------------------------------------- | ------ | -------------------- | ------- |
+| `GRAPHRAG_SNAPSHOT_GRAPHML`         | Whether to enable GraphML snapshots.        | `bool` | optional             | False   |
+| `GRAPHRAG_SNAPSHOT_RAW_ENTITIES`    | Whether to enable raw entity snapshots.     | `bool` | optional             | False   |
+| `GRAPHRAG_SNAPSHOT_TOP_LEVEL_NODES` | Whether to enable top-level node snapshots. | `bool` | optional             | False   |
+
+# Miscellaneous Settings
+
+| Parameter                   | Description                                                           | Type   | Required or Optional | Default       |
+| --------------------------- | --------------------------------------------------------------------- | ------ | -------------------- | ------------- |
+| `GRAPHRAG_ASYNC_MODE`       | Which async mode to use. Either `asyncio` or `threaded`.              | `str`  | optional             | `asyncio`     |
+| `GRAPHRAG_ENCODING_MODEL`   | The text encoding model, used in tiktoken, to encode text.            | `str`  | optional             | `cl100k_base` |
+| `GRAPHRAG_MAX_CLUSTER_SIZE` | The maximum number of entities to include in a single Leiden cluster. | `int`  | optional             | 10            |
+| `GRAPHRAG_SKIP_WORKFLOWS`   | A comma-separated list of workflow names to skip.                     | `str`  | optional             | `None`        |
+| `GRAPHRAG_UMAP_ENABLED`     | Whether to enable UMAP layouts                                        | `bool` | optional             | False         |
diff --git a/graphrag/docsite/posts/config/init.md b/graphrag/docsite/posts/config/init.md
new file mode 100644
index 0000000000000000000000000000000000000000..afaa571254ac874e5bb40d988db4d88f0d6e7fcd
--- /dev/null
+++ b/graphrag/docsite/posts/config/init.md
@@ -0,0 +1,38 @@
+---
+title: Configuring GraphRAG Indexing
+navtitle: Init Command
+tags: [post]
+layout: page
+date: 2023-01-03
+---
+
+To start using GraphRAG, you need to configure the system. The `init` command is the easiest way to get started. It will create a `.env` and `settings.yaml` files in the specified directory with the necessary configuration settings. It will also output the default LLM prompts used by GraphRAG.
+
+## Usage
+
+```sh
+python -m graphrag.index [--init] [--root PATH]
+```
+
+## Options
+
+- `--init` - Initialize the directory with the necessary configuration files.
+- `--root PATH` - The root directory to initialize. Default is the current directory.
+
+## Example
+
+```sh
+python -m graphrag.index --init --root ./ragtest
+```
+
+## Output
+
+The `init` command will create the following files in the specified directory:
+
+- `settings.yaml` - The configuration settings file. This file contains the configuration settings for GraphRAG.
+- `.env` - The environment variables file. These are referenced in the `settings.yaml` file.
+- `prompts/` - The LLM prompts folder. This contains the default prompts used by GraphRAG, you can modify them or run the [Auto Prompt Tuning](/posts/prompt_tuning/auto_prompt_tuning) command to generate new prompts adapted to your data.
+
+## Next Steps
+
+After initializing your workspace, you can either run the [Prompt Tuning](/posts/prompt_tuning/auto_prompt_tuning) command to adapt the prompts to your data or even start running the [Indexing Pipeline](/posts/index/overview) to index your data. For more information on configuring GraphRAG, see the [Configuration](/posts/config/overview) documentation.
diff --git a/graphrag/docsite/posts/config/json_yaml.md b/graphrag/docsite/posts/config/json_yaml.md
new file mode 100644
index 0000000000000000000000000000000000000000..b1350cded0cefdf9fbaf5ff5031c2d71adb92067
--- /dev/null
+++ b/graphrag/docsite/posts/config/json_yaml.md
@@ -0,0 +1,224 @@
+---
+title: Default Configuration Mode (using JSON/YAML)
+navtitle: Using JSON or YAML
+tags: [post]
+layout: page
+date: 2023-01-03
+---
+
+The default configuration mode may be configured by using a `config.json` or `config.yml` file in the data project root. If a `.env` file is present along with this config file, then it will be loaded, and the environment variables defined therein will be available for token replacements in your configuration document using `${ENV_VAR}` syntax.
+
+For example:
+
+```
+# .env
+API_KEY=some_api_key
+
+# config.json
+{
+    "llm": {
+        "api_key": "${API_KEY}"
+    }
+}
+```
+
+# Config Sections
+
+## input
+
+### Fields
+
+- `type` **file|blob** - The input type to use. Default=`file`
+- `file_type` **text|csv** - The type of input data to load. Either `text` or `csv`. Default is `text`
+- `file_encoding` **str** - The encoding of the input file. Default is `utf-8`
+- `file_pattern` **str** - A regex to match input files. Default is `.*\.csv$` if in csv mode and `.*\.txt$` if in text mode.
+- `source_column` **str** - (CSV Mode Only) The source column name.
+- `timestamp_column` **str** - (CSV Mode Only) The timestamp column name.
+- `timestamp_format` **str** - (CSV Mode Only) The source format.
+- `text_column` **str** - (CSV Mode Only) The text column name.
+- `title_column` **str** - (CSV Mode Only) The title column name.
+- `document_attribute_columns` **list[str]** - (CSV Mode Only) The additional document attributes to include.
+- `connection_string` **str** - (blob only) The Azure Storage connection string.
+- `container_name` **str** - (blob only) The Azure Storage container name.
+- `base_dir` **str** - The base directory to read input from, relative to the root.
+- `storage_account_blob_url` **str** - The storage account blob URL to use.
+
+## llm
+
+This is the base LLM configuration section. Other steps may override this configuration with their own LLM configuration.
+
+### Fields
+
+- `api_key` **str** - The OpenAI API key to use.
+- `type` **openai_chat|azure_openai_chat|openai_embedding|azure_openai_embedding** - The type of LLM to use.
+- `model` **str** - The model name.
+- `max_tokens` **int** - The maximum number of output tokens.
+- `request_timeout` **float** - The per-request timeout.
+- `api_base` **str** - The API base url to use.
+- `api_version` **str** - The API version
+- `organization` **str** - The client organization.
+- `proxy` **str** - The proxy URL to use.
+- `cognitive_services_endpoint` **str** - The url endpoint for cognitive services.
+- `deployment_name` **str** - The deployment name to use (Azure).
+- `model_supports_json` **bool** - Whether the model supports JSON-mode output.
+- `tokens_per_minute` **int** - Set a leaky-bucket throttle on tokens-per-minute.
+- `requests_per_minute` **int** - Set a leaky-bucket throttle on requests-per-minute.
+- `max_retries` **int** - The maximum number of retries to use.
+- `max_retry_wait` **float** - The maximum backoff time.
+- `sleep_on_rate_limit_recommendation` **bool** - Whether to adhere to sleep recommendations (Azure).
+- `concurrent_requests` **int** The number of open requests to allow at once.
+- `temperature` **float** - The temperature to use.
+- `top_p` **float** - The top-p value to use.
+- `n` **int** - The number of completions to generate.
+
+## parallelization
+
+### Fields
+
+- `stagger` **float** - The threading stagger value.
+- `num_threads` **int** - The maximum number of work threads.
+
+## async_mode
+
+**asyncio|threaded** The async mode to use. Either `asyncio` or `threaded.
+
+## embeddings
+
+### Fields
+
+- `llm` (see LLM top-level config)
+- `parallelization` (see Parallelization top-level config)
+- `async_mode` (see Async Mode top-level config)
+- `batch_size` **int** - The maximum batch size to use.
+- `batch_max_tokens` **int** - The maximum batch #-tokens.
+- `target` **required|all** - Determines which set of embeddings to emit.
+- `skip` **list[str]** - Which embeddings to skip.
+- `strategy` **dict** - Fully override the text-embedding strategy.
+
+## chunks
+
+### Fields
+
+- `size` **int** - The max chunk size in tokens.
+- `overlap` **int** - The chunk overlap in tokens.
+- `group_by_columns` **list[str]** - group documents by fields before chunking.
+- `strategy` **dict** - Fully override the chunking strategy.
+
+## cache
+
+### Fields
+
+- `type` **file|memory|none|blob** - The cache type to use. Default=`file`
+- `connection_string` **str** - (blob only) The Azure Storage connection string.
+- `container_name` **str** - (blob only) The Azure Storage container name.
+- `base_dir` **str** - The base directory to write cache to, relative to the root.
+- `storage_account_blob_url` **str** - The storage account blob URL to use.
+
+## storage
+
+### Fields
+
+- `type` **file|memory|blob** - The storage type to use. Default=`file`
+- `connection_string` **str** - (blob only) The Azure Storage connection string.
+- `container_name` **str** - (blob only) The Azure Storage container name.
+- `base_dir` **str** - The base directory to write reports to, relative to the root.
+- `storage_account_blob_url` **str** - The storage account blob URL to use.
+
+## reporting
+
+### Fields
+
+- `type` **file|console|blob** - The reporting type to use. Default=`file`
+- `connection_string` **str** - (blob only) The Azure Storage connection string.
+- `container_name` **str** - (blob only) The Azure Storage container name.
+- `base_dir` **str** - The base directory to write reports to, relative to the root.
+- `storage_account_blob_url` **str** - The storage account blob URL to use.
+
+## entity_extraction
+
+### Fields
+
+- `llm` (see LLM top-level config)
+- `parallelization` (see Parallelization top-level config)
+- `async_mode` (see Async Mode top-level config)
+- `prompt` **str** - The prompt file to use.
+- `entity_types` **list[str]** - The entity types to identify.
+- `max_gleanings` **int** - The maximum number of gleaning cycles to use.
+- `strategy` **dict** - Fully override the entity extraction strategy.
+
+## summarize_descriptions
+
+### Fields
+
+- `llm` (see LLM top-level config)
+- `parallelization` (see Parallelization top-level config)
+- `async_mode` (see Async Mode top-level config)
+- `prompt` **str** - The prompt file to use.
+- `max_length` **int** - The maximum number of output tokens per summarization.
+- `strategy` **dict** - Fully override the summarize description strategy.
+
+## claim_extraction
+
+### Fields
+
+- `enabled` **bool** - Whether to enable claim extraction. default=False
+- `llm` (see LLM top-level config)
+- `parallelization` (see Parallelization top-level config)
+- `async_mode` (see Async Mode top-level config)
+- `prompt` **str** - The prompt file to use.
+- `description` **str** - Describes the types of claims we want to extract.
+- `max_gleanings` **int** - The maximum number of gleaning cycles to use.
+- `strategy` **dict** - Fully override the claim extraction strategy.
+
+## community_reports
+
+### Fields
+
+- `llm` (see LLM top-level config)
+- `parallelization` (see Parallelization top-level config)
+- `async_mode` (see Async Mode top-level config)
+- `prompt` **str** - The prompt file to use.
+- `max_length` **int** - The maximum number of output tokens per report.
+- `max_input_length` **int** - The maximum number of input tokens to use when generating reports.
+- `strategy` **dict** - Fully override the community reports strategy.
+
+## cluster_graph
+
+### Fields
+
+- `max_cluster_size` **int** - The maximum cluster size to emit.
+- `strategy` **dict** - Fully override the cluster_graph strategy.
+
+## embed_graph
+
+### Fields
+
+- `enabled` **bool** - Whether to enable graph embeddings.
+- `num_walks` **int** - The node2vec number of walks.
+- `walk_length` **int** - The node2vec walk length.
+- `window_size` **int** - The node2vec window size.
+- `iterations` **int** - The node2vec number of iterations.
+- `random_seed` **int** - The node2vec random seed.
+- `strategy` **dict** - Fully override the embed graph strategy.
+
+## umap
+
+### Fields
+
+- `enabled` **bool** - Whether to enable UMAP layouts.
+
+## snapshots
+
+### Fields
+
+- `graphml` **bool** - Emit graphml snapshots.
+- `raw_entities` **bool** - Emit raw entity snapshots.
+- `top_level_nodes` **bool** - Emit top-level-node snapshots.
+
+## encoding_model
+
+**str** - The text encoding model to use. Default is `cl100k_base`.
+
+## skip_workflows
+
+**list[str]** - Which workflow names to skip.
diff --git a/graphrag/docsite/posts/config/overview.md b/graphrag/docsite/posts/config/overview.md
new file mode 100644
index 0000000000000000000000000000000000000000..ce13d41ee91a194f2c310be295b6b64c2b753e48
--- /dev/null
+++ b/graphrag/docsite/posts/config/overview.md
@@ -0,0 +1,21 @@
+---
+title: Configuring GraphRAG Indexing
+navtitle: Configuration
+tags: [post]
+layout: page
+date: 2023-01-03
+---
+
+The GraphRAG system is highly configurable. This page provides an overview of the configuration options available for the GraphRAG indexing engine.
+
+## Default Configuration Mode
+
+The default configuration mode is the simplest way to get started with the GraphRAG system. It is designed to work out-of-the-box with minimal configuration. The primary configuration sections for the Indexing Engine pipelines are described below. The main ways to set up GraphRAG in Default Configuration mode are via:
+
+- [Init command](/posts/config/init) (recommended)
+- [Purely using environment variables](/posts/config/env_vars)
+- [Using JSON or YAML for deeper control](/posts/config/json_yaml)
+
+## Custom Configuration Mode
+
+Custom configuration mode is an advanced use-case. Most users will want to use the Default Configuration instead. The primary configuration sections for Indexing Engine pipelines are described below. Details about how to use custom configuration are available in the [Custom Configuration Mode](/posts/config/custom) documentation.
diff --git a/graphrag/docsite/posts/config/template.md b/graphrag/docsite/posts/config/template.md
new file mode 100644
index 0000000000000000000000000000000000000000..d3ff14d52f9c3c84cbdef3b94f6f9f5530e6d20f
--- /dev/null
+++ b/graphrag/docsite/posts/config/template.md
@@ -0,0 +1,174 @@
+---
+title: Configuration Template
+navtitle: Configuration Template
+layout: page
+tags: [post]
+date: 2024-04-04
+---
+
+The following template can be used and stored as a `.env` in the the directory where you're are pointing
+the `--root` parameter on your Indexing Pipeline execution.
+
+For details about how to run the Indexing Pipeline, refer to the [Index CLI](../../index/2-cli) documentation.
+
+## .env File Template
+
+Required variables are uncommented. All the optional configuration can be turned on or off as needed.
+
+### Minimal Configuration
+
+```bash
+# Base LLM Settings
+GRAPHRAG_API_KEY="your_api_key"
+GRAPHRAG_API_BASE="http://<domain>.openai.azure.com" # For Azure OpenAI Users
+GRAPHRAG_API_VERSION="api_version" # For Azure OpenAI Users
+
+# Text Generation Settings
+GRAPHRAG_LLM_TYPE="azure_openai_chat" # or openai_chat
+GRAPHRAG_LLM_DEPLOYMENT_NAME="gpt-4-turbo-preview"
+GRAPHRAG_LLM_MODEL_SUPPORTS_JSON=True
+
+# Text Embedding Settings
+GRAPHRAG_EMBEDDING_TYPE="azure_openai_embedding" # or openai_embedding
+GRAPHRAG_LLM_DEPLOYMENT_NAME="text-embedding-3-small"
+
+# Data Mapping Settings
+GRAPHRAG_INPUT_TYPE="text"
+
+```
+
+### Full Configuration
+
+```bash
+
+# Required LLM Config
+
+# Input Data Configuration
+GRAPHRAG_INPUT_TYPE="file"
+
+# Plaintext Input Data Configuration
+# GRAPHRAG_INPUT_FILE_PATTERN=.*\.txt
+
+# Text Input Data Configuration
+GRAPHRAG_INPUT_FILE_TYPE="text"
+GRAPHRAG_INPUT_FILE_PATTERN=".*\.txt$"
+GRAPHRAG_INPUT_SOURCE_COLUMN=source
+# GRAPHRAG_INPUT_TIMESTAMP_COLUMN=None
+# GRAPHRAG_INPUT_TIMESTAMP_FORMAT=None
+# GRAPHRAG_INPUT_TEXT_COLUMN="text"
+# GRAPHRAG_INPUT_ATTRIBUTE_COLUMNS=id
+# GRAPHRAG_INPUT_TITLE_COLUMN="title"
+# GRAPHRAG_INPUT_TYPE="file"
+# GRAPHRAG_INPUT_CONNECTION_STRING=None
+# GRAPHRAG_INPUT_CONTAINER_NAME=None
+# GRAPHRAG_INPUT_BASE_DIR=None
+
+# Base LLM Settings
+GRAPHRAG_API_KEY="your_api_key"
+GRAPHRAG_API_BASE="http://<domain>.openai.azure.com" # For Azure OpenAI Users
+GRAPHRAG_API_VERSION="api_version" # For Azure OpenAI Users
+# GRAPHRAG_API_ORGANIZATION=None
+# GRAPHRAG_API_PROXY=None
+
+# Text Generation Settings
+# GRAPHRAG_LLM_TYPE=openai_chat
+GRAPHRAG_LLM_API_KEY="your_api_key" # If GRAPHRAG_API_KEY is not set
+GRAPHRAG_LLM_API_BASE="http://<domain>.openai.azure.com" # For Azure OpenAI Users and if GRAPHRAG_API_BASE is not set
+GRAPHRAG_LLM_API_VERSION="api_version" # For Azure OpenAI Users and if GRAPHRAG_API_VERSION is not set
+GRAPHRAG_LLM_MODEL_SUPPORTS_JSON=True # Suggested by default
+# GRAPHRAG_LLM_API_ORGANIZATION=None
+# GRAPHRAG_LLM_API_PROXY=None
+# GRAPHRAG_LLM_DEPLOYMENT_NAME=None
+# GRAPHRAG_LLM_MODEL=gpt-4-turbo-preview
+# GRAPHRAG_LLM_MAX_TOKENS=4000
+# GRAPHRAG_LLM_REQUEST_TIMEOUT=180
+# GRAPHRAG_LLM_THREAD_COUNT=50
+# GRAPHRAG_LLM_THREAD_STAGGER=0.3
+# GRAPHRAG_LLM_CONCURRENT_REQUESTS=25
+# GRAPHRAG_LLM_TPM=0
+# GRAPHRAG_LLM_RPM=0
+# GRAPHRAG_LLM_MAX_RETRIES=10
+# GRAPHRAG_LLM_MAX_RETRY_WAIT=10
+# GRAPHRAG_LLM_SLEEP_ON_RATE_LIMIT_RECOMMENDATION=True
+
+# Text Embedding Settings
+# GRAPHRAG_EMBEDDING_TYPE=openai_embedding
+GRAPHRAG_EMBEDDING_API_KEY="your_api_key" # If GRAPHRAG_API_KEY is not set
+GRAPHRAG_EMBEDDING_API_BASE="http://<domain>.openai.azure.com"  # For Azure OpenAI Users and if GRAPHRAG_API_BASE is not set
+GRAPHRAG_EMBEDDING_API_VERSION="api_version" # For Azure OpenAI Users and if GRAPHRAG_API_VERSION is not set
+# GRAPHRAG_EMBEDDING_API_ORGANIZATION=None
+# GRAPHRAG_EMBEDDING_API_PROXY=None
+# GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME=None
+# GRAPHRAG_EMBEDDING_MODEL=text-embedding-3-small
+# GRAPHRAG_EMBEDDING_BATCH_SIZE=16
+# GRAPHRAG_EMBEDDING_BATCH_MAX_TOKENS=8191
+# GRAPHRAG_EMBEDDING_TARGET=required
+# GRAPHRAG_EMBEDDING_SKIP=None
+# GRAPHRAG_EMBEDDING_THREAD_COUNT=None
+# GRAPHRAG_EMBEDDING_THREAD_STAGGER=50
+# GRAPHRAG_EMBEDDING_CONCURRENT_REQUESTS=25
+# GRAPHRAG_EMBEDDING_TPM=0
+# GRAPHRAG_EMBEDDING_RPM=0
+# GRAPHRAG_EMBEDDING_MAX_RETRIES=10
+# GRAPHRAG_EMBEDDING_MAX_RETRY_WAIT=10
+# GRAPHRAG_EMBEDDING_SLEEP_ON_RATE_LIMIT_RECOMMENDATION=True
+
+# Data Mapping Settings
+# GRAPHRAG_INPUT_ENCODING=utf-8
+
+# Data Chunking
+# GRAPHRAG_CHUNK_SIZE=1200
+# GRAPHRAG_CHUNK_OVERLAP=100
+# GRAPHRAG_CHUNK_BY_COLUMNS=id
+
+# Prompting Overrides
+# GRAPHRAG_ENTITY_EXTRACTION_PROMPT_FILE=None
+# GRAPHRAG_ENTITY_EXTRACTION_MAX_GLEANINGS=1
+# GRAPHRAG_ENTITY_EXTRACTION_ENTITY_TYPES=organization,person,event,geo
+# GRAPHRAG_SUMMARIZE_DESCRIPTIONS_PROMPT_FILE=None
+# GRAPHRAG_SUMMARIZE_DESCRIPTIONS_MAX_LENGTH=500
+# GRAPHRAG_CLAIM_EXTRACTION_DESCRIPTION="Any claims or facts that could be relevant to threat analysis."
+# GRAPHRAG_CLAIM_EXTRACTION_PROMPT_FILE=None
+# GRAPHRAG_CLAIM_EXTRACTION_MAX_GLEANINGS=1
+# GRAPHRAG_COMMUNITY_REPORT_PROMPT_FILE=None
+# GRAPHRAG_COMMUNITY_REPORT_MAX_LENGTH=1500
+
+# Storage
+# GRAPHRAG_STORAGE_TYPE=file
+# GRAPHRAG_STORAGE_CONNECTION_STRING=None
+# GRAPHRAG_STORAGE_CONTAINER_NAME=None
+# GRAPHRAG_STORAGE_BASE_DIR=None
+
+# Cache
+# GRAPHRAG_CACHE_TYPE=file
+# GRAPHRAG_CACHE_CONNECTION_STRING=None
+# GRAPHRAG_CACHE_CONTAINER_NAME=None
+# GRAPHRAG_CACHE_BASE_DIR=None
+
+# Reporting
+# GRAPHRAG_REPORTING_TYPE=file
+# GRAPHRAG_REPORTING_CONNECTION_STRING=None
+# GRAPHRAG_REPORTING_CONTAINER_NAME=None
+# GRAPHRAG_REPORTING_BASE_DIR=None
+
+# Node2Vec Parameters
+# GRAPHRAG_NODE2VEC_ENABLED=False
+# GRAPHRAG_NODE2VEC_NUM_WALKS=10
+# GRAPHRAG_NODE2VEC_WALK_LENGTH=40
+# GRAPHRAG_NODE2VEC_WINDOW_SIZE=2
+# GRAPHRAG_NODE2VEC_ITERATIONS=3
+# GRAPHRAG_NODE2VEC_RANDOM_SEED=597832
+
+# Data Snapshotting
+# GRAPHRAG_SNAPSHOT_GRAPHML=False
+# GRAPHRAG_SNAPSHOT_RAW_ENTITIES=False
+# GRAPHRAG_SNAPSHOT_TOP_LEVEL_NODES=False
+
+# Miscellaneous Settings
+# GRAPHRAG_ASYNC_MODE=asyncio
+# GRAPHRAG_ENCODING_MODEL=cl100k_base
+# GRAPHRAG_MAX_CLUSTER_SIZE=10
+# GRAPHRAG_ENTITY_RESOLUTION_ENABLED=False
+# GRAPHRAG_SKIP_WORKFLOWS=None
+# GRAPHRAG_UMAP_ENABLED=False
+```
diff --git a/graphrag/docsite/posts/developing.md b/graphrag/docsite/posts/developing.md
new file mode 100644
index 0000000000000000000000000000000000000000..f4a83dc77a87687c642470c10c1b462c55cdea0b
--- /dev/null
+++ b/graphrag/docsite/posts/developing.md
@@ -0,0 +1,90 @@
+---
+title: Developing GraphRAG
+navtitle: Developing
+layout: page
+tags: [post]
+---
+
+# Requirements
+
+| Name                | Installation                                                 | Purpose                                                                             |
+| ------------------- | ------------------------------------------------------------ | ----------------------------------------------------------------------------------- |
+| Python 3.10-3.12    | [Download](https://www.python.org/downloads/)                | The library is Python-based.                                                        |
+| Poetry              | [Instructions](https://python-poetry.org/docs/#installation) | Poetry is used for package management and virtualenv management in Python codebases |
+
+# Getting Started
+
+## Install Dependencies
+
+```sh
+# Install Python dependencies.
+poetry install
+```
+
+## Execute the Indexing Engine
+
+```sh
+poetry run poe index <...args>
+```
+
+## Executing Queries
+
+```sh
+poetry run poe query <...args>
+```
+
+# Azurite
+
+Some unit and smoke tests use Azurite to emulate Azure resources. This can be started by running:
+
+```sh
+./scripts/start-azurite.sh
+```
+
+or by simply running `azurite` in the terminal if already installed globally. See the [Azurite documentation](https://learn.microsoft.com/en-us/azure/storage/common/storage-use-azurite) for more information about how to install and use Azurite.
+
+# Lifecycle Scripts
+
+Our Python package utilizes Poetry to manage dependencies and [poethepoet](https://pypi.org/project/poethepoet/) to manage build scripts.
+
+Available scripts are:
+
+- `poetry run poe index` - Run the Indexing CLI
+- `poetry run poe query` - Run the Query CLI
+- `poetry build` - This invokes `poetry build`, which will build a wheel file and other distributable artifacts.
+- `poetry run poe test` - This will execute all tests.
+- `poetry run poe test_unit` - This will execute unit tests.
+- `poetry run poe test_integration` - This will execute integration tests.
+- `poetry run poe test_smoke` - This will execute smoke tests.
+- `poetry run poe check` - This will perform a suite of static checks across the package, including:
+  - formatting
+  - documentation formatting
+  - linting
+  - security patterns
+  - type-checking
+- `poetry run poe fix` - This will apply any available auto-fixes to the package. Usually this is just formatting fixes.
+- `poetry run poe fix_unsafe` - This will apply any available auto-fixes to the package, including those that may be unsafe.
+- `poetry run poe format` - Explicitly run the formatter across the package.
+
+## Troubleshooting
+
+### "RuntimeError: llvm-config failed executing, please point LLVM_CONFIG to the path for llvm-config" when running poetry install
+
+Make sure llvm-9 and llvm-9-dev are installed:
+
+`sudo apt-get install llvm-9 llvm-9-dev`
+
+and then in your bashrc, add
+
+`export LLVM_CONFIG=/usr/bin/llvm-config-9`
+
+### "numba/\_pymodule.h:6:10: fatal error: Python.h: No such file or directory" when running poetry install
+
+Make sure you have python3.10-dev installed or more generally `python<version>-dev`
+
+`sudo apt-get install python3.10-dev`
+
+### LLM call constantly exceeds TPM, RPM or time limits
+
+`GRAPHRAG_LLM_THREAD_COUNT` and `GRAPHRAG_EMBEDDING_THREAD_COUNT` are both set to 50 by default. You can modify this values
+to reduce concurrency. Please refer to the [Configuration Documents](../config/overview)
diff --git a/graphrag/docsite/posts/get_started.md b/graphrag/docsite/posts/get_started.md
new file mode 100644
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+++ b/graphrag/docsite/posts/get_started.md
@@ -0,0 +1,130 @@
+---
+title: Get Started
+navtitle: Get started
+layout: page
+tags: [post]
+---
+
+## Requirements
+
+[Python 3.10-3.12](https://www.python.org/downloads/)
+
+To get started with the GraphRAG system, you have a few options:
+
+👉 [Use the GraphRAG Accelerator solution](https://github.com/Azure-Samples/graphrag-accelerator) <br/>
+👉 [Install from pypi](https://pypi.org/project/graphrag/). <br/>
+👉 [Use it from source](/posts/developing)<br/>
+
+## Quickstart
+
+To get started with the GraphRAG system we recommend trying the [Solution Accelerator](https://github.com/Azure-Samples/graphrag-accelerator) package. This provides a user-friendly end-to-end experience with Azure resources.
+
+# Top-Level Modules
+
+[Indexing Pipeline Overview](/posts/index/overview)<br/>
+[Query Engine Overview](/posts/query/overview)
+
+# Overview
+
+The following is a simple end-to-end example for using the GraphRAG system.
+It shows how to use the system to index some text, and then use the indexed data to answer questions about the documents.
+
+# Install GraphRAG
+
+```bash
+pip install graphrag
+```
+
+# Running the Indexer
+
+Now we need to set up a data project and some initial configuration. Let's set that up. We're using the [default configuration mode](/posts/config/overview/), which you can customize as needed using a [config file](/posts/config/json_yaml/), which we recommend, or [environment variables](/posts/config/env_vars/).
+
+First let's get a sample dataset ready:
+
+```sh
+mkdir -p ./ragtest/input
+```
+
+Now let's get a copy of A Christmas Carol by Charles Dickens from a trusted source
+
+```sh
+curl https://www.gutenberg.org/cache/epub/24022/pg24022.txt > ./ragtest/input/book.txt
+```
+
+Next we'll inject some required config variables:
+
+## Set Up Your Workspace Variables
+
+First let's make sure to setup the required environment variables. For details on these environment variables, and what environment variables are available, see the [variables documentation](/posts/config/overview/).
+
+To initialize your workspace, let's first run the `graphrag.index --init` command.
+Since we have already configured a directory named \.ragtest` in the previous step, we can run the following command:
+
+```sh
+python -m graphrag.index --init --root ./ragtest
+```
+
+This will create two files: `.env` and `settings.yaml` in the `./ragtest` directory.
+
+- `.env` contains the environment variables required to run the GraphRAG pipeline. If you inspect the file, you'll see a single environment variable defined,
+  `GRAPHRAG_API_KEY=<API_KEY>`. This is the API key for the OpenAI API or Azure OpenAI endpoint. You can replace this with your own API key.
+- `settings.yaml` contains the settings for the pipeline. You can modify this file to change the settings for the pipeline.
+  <br/>
+
+#### <ins>OpenAI and Azure OpenAI</ins>
+
+To run in OpenAI mode, just make sure to update the value of `GRAPHRAG_API_KEY` in the `.env` file with your OpenAI API key.
+
+#### <ins>Azure OpenAI</ins>
+
+In addition, Azure OpenAI users should set the following variables in the settings.yaml file. To find the appropriate sections, just search for the `llm:` configuration, you should see two sections, one for the chat endpoint and one for the embeddings endpoint. Here is an example of how to configure the chat endpoint:
+
+```yaml
+type: azure_openai_chat # Or azure_openai_embedding for embeddings
+api_base: https://<instance>.openai.azure.com
+api_version: 2024-02-15-preview # You can customize this for other versions
+deployment_name: <azure_model_deployment_name>
+```
+
+- For more details about configuring GraphRAG, see the [configuration documentation](/posts/config/overview/).
+- To learn more about Initialization, refer to the [Initialization documentation](/posts/config/init/).
+- For more details about using the CLI, refer to the [CLI documentation](/posts/query/3-cli/).
+
+## Running the Indexing pipeline
+
+Finally we'll run the pipeline!
+
+```sh
+python -m graphrag.index --root ./ragtest
+```
+
+![pipeline executing from the CLI](/img/pipeline-running.png)
+
+This process will take some time to run. This depends on the size of your input data, what model you're using, and the text chunk size being used (these can be configured in your `.env` file).
+Once the pipeline is complete, you should see a new folder called `./ragtest/output/<timestamp>/artifacts` with a series of parquet files.
+
+# Using the Query Engine
+
+## Running the Query Engine
+
+Now let's ask some questions using this dataset.
+
+Here is an example using Global search to ask a high-level question:
+
+```sh
+python -m graphrag.query \
+--root ./ragtest \
+--method global \
+"What are the top themes in this story?"
+```
+
+Here is an example using Local search to ask a more specific question about a particular character:
+
+```sh
+python -m graphrag.query \
+--root ./ragtest \
+--method local \
+"Who is Scrooge, and what are his main relationships?"
+```
+
+Please refer to [Query Engine](/posts/query/overview) docs for detailed information about how to leverage our Local and Global search mechanisms for extracting meaningful insights from data after the Indexer has wrapped up execution.
diff --git a/graphrag/docsite/posts/index/0-architecture.md b/graphrag/docsite/posts/index/0-architecture.md
new file mode 100644
index 0000000000000000000000000000000000000000..4826bdabb2b4f7a1c84f0cf9b9feee4bddd80944
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+++ b/graphrag/docsite/posts/index/0-architecture.md
@@ -0,0 +1,73 @@
+---
+title: Indexing Architecture
+navtitle: Architecture
+tags: [post, indexing]
+layout: page
+date: 2023-01-01
+---
+
+## Key Concepts
+
+### Knowledge Model
+
+In order to support the GraphRAG system, the outputs of the indexing engine (in the Default Configuration Mode) are aligned to a knowledge model we call the _GraphRAG Knowledge Model_.
+This model is designed to be an abstraction over the underlying data storage technology, and to provide a common interface for the GraphRAG system to interact with.
+In normal use-cases the outputs of the GraphRAG Indexer would be loaded into a database system, and the GraphRAG's Query Engine would interact with the database using the knowledge model data-store types.
+
+### DataShaper Workflows
+
+GraphRAG's Indexing Pipeline is built on top of our open-source library, [DataShaper](https://github.com/microsoft/datashaper).
+DataShaper is a data processing library that allows users to declaratively express data pipelines, schemas, and related assets using well-defined schemas.
+DataShaper has implementations in JavaScript and Python, and is designed to be extensible to other languages.
+
+One of the core resource types within DataShaper is a [Workflow](https://github.com/microsoft/datashaper/blob/main/javascript/schema/src/workflow/WorkflowSchema.ts).
+Workflows are expressed as sequences of steps, which we call [verbs](https://github.com/microsoft/datashaper/blob/main/javascript/schema/src/workflow/verbs.ts).
+Each step has a verb name and a configuration object.
+In DataShaper, these verbs model relational concepts such as SELECT, DROP, JOIN, etc.. Each verb transforms an input data table, and that table is passed down the pipeline.
+
+```mermaid
+---
+title: Sample Workflow
+---
+flowchart LR
+    input[Input Table] --> select[SELECT] --> join[JOIN] --> binarize[BINARIZE] --> output[Output Table]
+```
+
+### LLM-based Workflow Steps
+
+GraphRAG's Indexing Pipeline implements a handful of custom verbs on top of the standard, relational verbs that our DataShaper library provides. These verbs give us the ability to augment text documents with rich, structured data using the power of LLMs such as GPT-4. We utilize these verbs in our standard workflow to extract entities, relationships, claims, community structures, and community reports and summaries. This behavior is customizable and can be extended to support many kinds of AI-based data enrichment and extraction tasks.
+
+### Workflow Graphs
+
+Because of the complexity of our data indexing tasks, we needed to be able to express our data pipeline as series of multiple, interdependent workflows.
+In the GraphRAG Indexing Pipeline, each workflow may define dependencies on other workflows, effectively forming a directed acyclic graph (DAG) of workflows, which is then used to schedule processing.
+
+```mermaid
+---
+title: Sample Workflow DAG
+---
+stateDiagram-v2
+    [*] --> Prepare
+    Prepare --> Chunk
+    Chunk --> ExtractGraph
+    Chunk --> EmbedDocuments
+    ExtractGraph --> GenerateReports
+    ExtractGraph --> EmbedGraph
+    EntityResolution --> EmbedGraph
+    EntityResolution --> GenerateReports
+    ExtractGraph --> EntityResolution
+```
+
+### Dataframe Message Format
+
+The primary unit of communication between workflows, and between workflow steps is an instance of `pandas.DataFrame`.
+Although side-effects are possible, our goal is to be _data-centric_ and _table-centric_ in our approach to data processing.
+This allows us to easily reason about our data, and to leverage the power of dataframe-based ecosystems.
+Our underlying dataframe technology may change over time, but our primary goal is to support the DataShaper workflow schema while retaining single-machine ease of use and developer ergonomics.
+
+### LLM Caching
+
+The GraphRAG library was designed with LLM interactions in mind, and a common setback when working with LLM APIs is various errors errors due to network latency, throttling, etc..
+Because of these potential error cases, we've added a cache layer around LLM interactions.
+When completion requests are made using the same input set (prompt and tuning parameters), we return a cached result if one exists.
+This allows our indexer to be more resilient to network issues, to act idempotently, and to provide a more efficient end-user experience.
diff --git a/graphrag/docsite/posts/index/1-default_dataflow.md b/graphrag/docsite/posts/index/1-default_dataflow.md
new file mode 100644
index 0000000000000000000000000000000000000000..1b8d135dabe32be625c87b7786a58eef21077963
--- /dev/null
+++ b/graphrag/docsite/posts/index/1-default_dataflow.md
@@ -0,0 +1,218 @@
+---
+title: Indexing Dataflow
+navtitle: Dataflow
+layout: page
+tags: [post, indexing]
+date: 2023-01-02
+---
+
+## The GraphRAG Knowledge Model
+
+The knowledge model is a specification for data outputs that conform to our data-model definition. You can find these definitions in the python/graphrag/graphrag/model folder within the GraphRAG repository. The following entity types are provided. The fields here represent the fields that are text-embedded by default.
+
+- `Document` - An input document into the system. These either represent individual rows in a CSV or individual .txt file.
+- `TextUnit` - A chunk of text to analyze. The size of these chunks, their overlap, and whether they adhere to any data boundaries may be configured below. A common use case is to set `CHUNK_BY_COLUMNS` to `id` so that there is a 1-to-many relationship between documents and TextUnits instead of a many-to-many.
+- `Entity` - An entity extracted from a TextUnit. These represent people, places, events, or some other entity-model that you provide.
+- `Relationship` - A relationship between two entities. These are generated from the covariates.
+- `Covariate` - Extracted claim information, which contains statements about entities which may be time-bound.
+- `Community Report` - Once entities are generated, we perform hierarchical community detection on them and generate reports for each community in this hierarchy.
+- `Node` - This table contains layout information for rendered graph-views of the Entities and Documents which have been embedded and clustered.
+
+## The Default Configuration Workflow
+
+Let's take a look at how the default-configuration workflow transforms text documents into the _GraphRAG Knowledge Model_. This page gives a general overview of the major steps in this process. To fully configure this workflow, check out the [configuration](/posts/config/overview/) documentation.
+
+```mermaid
+---
+title: Dataflow Overview
+---
+flowchart TB
+    subgraph phase1[Phase 1: Compose TextUnits]
+    documents[Documents] --> chunk[Chunk]
+    chunk --> embed[Embed] --> textUnits[Text Units]
+    end
+    subgraph phase2[Phase 2: Graph Extraction]
+    textUnits --> graph_extract[Entity & Relationship Extraction]
+    graph_extract --> graph_summarize[Entity & Relationship Summarization]
+    graph_summarize --> entity_resolve[Entity Resolution]
+    entity_resolve --> claim_extraction[Claim Extraction]
+    claim_extraction --> graph_outputs[Graph Tables]
+    end
+    subgraph phase3[Phase 3: Graph Augmentation]
+    graph_outputs --> community_detect[Community Detection]
+    community_detect --> graph_embed[Graph Embedding]
+    graph_embed --> augmented_graph[Augmented Graph Tables]
+    end
+    subgraph phase4[Phase 4: Community Summarization]
+    augmented_graph --> summarized_communities[Community Summarization]
+    summarized_communities --> embed_communities[Community Embedding]
+    embed_communities --> community_outputs[Community Tables]
+    end
+    subgraph phase5[Phase 5: Document Processing]
+    documents --> link_to_text_units[Link to TextUnits]
+    textUnits --> link_to_text_units
+    link_to_text_units --> embed_documents[Document Embedding]
+    embed_documents --> document_graph[Document Graph Creation]
+    document_graph --> document_outputs[Document Tables]
+    end
+    subgraph phase6[Phase 6: Network Visualization]
+    document_outputs --> umap_docs[Umap Documents]
+    augmented_graph --> umap_entities[Umap Entities]
+    umap_docs --> combine_nodes[Nodes Table]
+    umap_entities --> combine_nodes
+    end
+```
+
+## Phase 1: Compose TextUnits
+
+The first phase of the default-configuration workflow is to transform input documents into _TextUnits_. A _TextUnit_ is a chunk of text that is used for our graph extraction techniques. They are also used as source-references by extracted knowledge items in order to empower breadcrumbs and provenance by concepts back to their original source tex.
+
+The chunk size (counted in tokens), is user-configurable. By default this is set to 300 tokens, although we've had positive experience with 1200-token chunks using a single "glean" step. (A "glean" step is a follow-on extraction). Larger chunks result in lower-fidelity output and less meaningful reference texts; however, using larger chunks can result in much faster processing time.
+
+The group-by configuration is also user-configurable. By default, we align our chunks to document boundaries, meaning that there is a strict 1-to-many relationship between Documents and TextUnits. In rare cases, this can be turned into a many-to-many relationship. This is useful when the documents are very short and we need several of them to compose a meaningful analysis unit (e.g. Tweets or a chat log)
+
+Each of these text-units are text-embedded and passed into the next phase of the pipeline.
+
+```mermaid
+---
+title: Documents into Text Chunks
+---
+flowchart LR
+    doc1[Document 1] --> tu1[TextUnit 1]
+    doc1 --> tu2[TextUnit 2]
+    doc2[Document 2] --> tu3[TextUnit 3]
+    doc2 --> tu4[TextUnit 4]
+
+```
+
+## Phase 2: Graph Extraction
+
+In this phase, we analyze each text unit and extract our graph primitives: _Entities_, _Relationships_, and _Claims_.
+Entities and Relationships are extracted at once in our _entity_extract_ verb, and claims are extracted in our _claim_extract_ verb. Results are then combined and passed into following phases of the pipeline.
+
+```mermaid
+---
+title: Graph Extraction
+---
+flowchart LR
+    tu[TextUnit] --> ge[Graph Extraction] --> gs[Graph Summarization] --> er[Entity Resolution]
+    tu --> ce[Claim Extraction]
+```
+
+### Entity & Relationship Extraction
+
+In this first step of graph extraction, we process each text-unit in order to extract entities and relationships out of the raw text using the LLM. The output of this step is a subgraph-per-TextUnit containing a list of **entities** with a _name_, _type_, and _description_, and a list of **relationships** with a _source_, _target_, and _description_.
+
+These subgraphs are merged together - any entities with the same _name_ and _type_ are merged by creating an array of their descriptions. Similarly, any relationships with the same _source_ and _target_ are merged by creating an array of their descriptions.
+
+### Entity & Relationship Summarization
+
+Now that we have a graph of entities and relationships, each with a list of descriptions, we can summarize these lists into a single description per entity and relationship. This is done by asking the LLM for a short summary that captures all of the distinct information from each description. This allows all of our entities and relationships to have a single concise description.
+
+### Entity Resolution (Not Enabled by Default)
+
+The final step of graph extraction is to resolve any entities that represent the same real-world entity but but have different names. Since this is done via LLM, and we don't want to lose information, we want to take a conservative, non-destructive approach to this.
+
+Our current implementation of Entity Resolution, however, is destructive. It will provide the LLM with a series of entities and ask it to determine which ones should be merged. Those entities are then merged together into a single entity and their relationships are updated.
+
+We are currently exploring other entity resolution techniques. In the near future, entity resolution will be executed by creating an edge between entity variants indicating that the entities have been resolved by the indexing engine. This will allow for end-users to undo indexing-side resolutions, and add their own non-destructive resolutions using a similar process.
+
+### Claim Extraction & Emission
+
+Finally, as an independent workflow, we extract claims from the source TextUnits. These claims represent positive factual statements with an evaluated status and time-bounds. These are emitted as a primary artifact called **Covariates**.
+
+## Phase 3: Graph Augmentation
+
+Now that we have a usable graph of entities and relationships, we want to understand their community structure and augment the graph with additional information. This is done in two steps: _Community Detection_ and _Graph Embedding_. These give us explicit (communities) and implicit (embeddings) ways of understanding the topological structure of our graph.
+
+```mermaid
+---
+title: Graph Augmentation
+---
+flowchart LR
+    cd[Leiden Hierarchical Community Detection] --> ge[Node2Vec Graph Embedding] --> ag[Graph Table Emission]
+```
+
+### Community Detection
+
+In this step, we generate a hierarchy of entity communities using the Hierarchical Leiden Algorithm. This method will apply a recursive community-clustering to our graph until we reach a community-size threshold. This will allow us to understand the community structure of our graph and provide a way to navigate and summarize the graph at different levels of granularity.
+
+### Graph Embedding
+
+In this step, we generate a vector representation of our graph using the Node2Vec algorithm. This will allow us to understand the implicit structure of our graph and provide an additional vector-space in which to search for related concepts during our query phase.
+
+### Graph Tables Emission
+
+Once our graph augmentation steps are complete, the final **Entities** and **Relationships** tables are emitted after their text fields are text-embedded.
+
+## Phase 4: Community Summarization
+
+```mermaid
+---
+title: Community Summarization
+---
+flowchart LR
+    sc[Generate Community Reports] --> ss[Summarize Community Reports] --> ce[Community Embedding] --> co[Community Tables Emission]
+```
+
+At this point, we have a functional graph of entities and relationships, a hierarchy of communities for the entities, as well as node2vec embeddings.
+
+Now we want to build on the communities data and generate reports for each community. This gives us a high-level understanding of the graph at several points of graph granularity. For example, if community A is the top-level community, we'll get a report about the entire graph. If the community is lower-level, we'll get a report about a local cluster.
+
+### Generate Community Reports
+
+In this step, we generate a summary of each community using the LLM. This will allow us to understand the distinct information contained within each community and provide a scoped understanding of the graph, from either a high-level or a low-level perspective. These reports contain an executive overview and reference the key entities, relationships, and claims within the community sub-structure.
+
+### Summarize Community Reports
+
+In this step, each _community report_ is then summarized via the LLM for shorthand use.
+
+### Community Embedding
+
+In this step, we generate a vector representation of our communities by generating text embeddings of the community report, the community report summary, and the title of the community report.
+
+### Community Tables Emission
+
+At this point, some bookkeeping work is performed and we emit the **Communities** and **CommunityReports** tables.
+
+## Phase 5: Document Processing
+
+In this phase of the workflow, we create the _Documents_ table for the knowledge model.
+
+```mermaid
+---
+title: Document Processing
+---
+flowchart LR
+    aug[Augment] --> dp[Link to TextUnits] --> de[Avg. Embedding] --> dg[Document Table Emission]
+```
+
+### Augment with Columns (CSV Only)
+
+If the workflow is operating on CSV data, you may configure your workflow to add additional fields to Documents output. These fields should exist on the incoming CSV tables. Details about configuring this can be found in the [configuration documentation](/posts/config/overview/).
+
+### Link to TextUnits
+
+In this step, we link each document to the text-units that were created in the first phase. This allows us to understand which documents are related to which text-units and vice-versa.
+
+### Document Embedding
+
+In this step, we generate a vector representation of our documents using an average embedding of document slices. We re-chunk documents without overlapping chunks, and then generate an embedding for each chunk. We create an average of these chunks weighted by token-count and use this as the document embedding. This will allow us to understand the implicit relationship between documents, and will help us generate a network representation of our documents.
+
+### Documents Table Emission
+
+At this point, we can emit the **Documents** table into the knowledge Model.
+
+## Phase 6: Network Visualization
+
+In this phase of the workflow, we perform some steps to support network visualization of our high-dimensional vector spaces within our existing graphs. At this point there are two logical graphs at play: the _Entity-Relationship_ graph and the _Document_ graph.
+
+```mermaid
+---
+title: Network Visualization Workflows
+---
+flowchart LR
+    nv[Umap Documents] --> ne[Umap Entities] --> ng[Nodes Table Emission]
+```
+
+For each of the logical graphs, we perform a UMAP dimensionality reduction to generate a 2D representation of the graph. This will allow us to visualize the graph in a 2D space and understand the relationships between the nodes in the graph. The UMAP embeddings are then emitted as a table of _Nodes_. The rows of this table include a discriminator indicating whether the node is a document or an entity, and the UMAP coordinates.
diff --git a/graphrag/docsite/posts/index/2-cli.md b/graphrag/docsite/posts/index/2-cli.md
new file mode 100644
index 0000000000000000000000000000000000000000..97911bbcb2e807bf359d19dfcbe3febf489e4ec2
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@@ -0,0 +1,26 @@
+---
+title: Indexer CLI
+navtitle: CLI
+layout: page
+tags: [post, indexing]
+date: 2023-01-03
+---
+
+The GraphRAG indexer CLI allows for no-code usage of the GraphRAG Indexer.
+
+```bash
+python -m graphrag.index --verbose --root </workspace/project/root> --config <custom_config.yml>
+--resume <timestamp> --reporter <rich|print|none> --emit json,csv,parquet
+--nocache
+```
+
+## CLI Arguments
+
+- `--verbose` - Adds extra logging information during the run.
+- `--root <data-project-dir>` - the data root directory. This should contain an `input` directory with the input data, and an `.env` file with environment variables. These are described below.
+- `--init` - This will initialize the data project directory at the specified `root` with bootstrap configuration and prompt-overrides.
+- `--resume <output-timestamp>` - if specified, the pipeline will attempt to resume a prior run. The parquet files from the prior run will be loaded into the system as inputs, and the workflows that generated those files will be skipped. The input value should be the timestamped output folder, e.g. "20240105-143721".
+- `--config <config_file.yml>` - This will opt-out of the Default Configuration mode and execute a custom configuration. If this is used, then none of the environment-variables below will apply.
+- `--reporter <reporter>` - This will specify the progress reporter to use. The default is `rich`. Valid values are `rich`, `print`, and `none`.
+- `--emit <types>` - This specifies the table output formats the pipeline should emit. The default is `parquet`. Valid values are `parquet`, `csv`, and `json`, comma-separated.
+- `--nocache` - This will disable the caching mechanism. This is useful for debugging and development, but should not be used in production.
diff --git a/graphrag/docsite/posts/index/overview.md b/graphrag/docsite/posts/index/overview.md
new file mode 100644
index 0000000000000000000000000000000000000000..51555c9abbf66664c75831d0562583abee156a3e
--- /dev/null
+++ b/graphrag/docsite/posts/index/overview.md
@@ -0,0 +1,82 @@
+---
+title: GraphRAG Indexing 🤖
+navtitle: Indexing Overview
+layout: page
+tags: [post]
+---
+
+The GraphRAG indexing package is a data pipeline and transformation suite that is designed to extract meaningful, structured data from unstructured text using LLMs.
+
+Indexing Pipelines are configurable. They are composed of workflows, standard and custom steps, prompt templates, and input/output adapters. Our standard pipeline is designed to:
+
+- extract entities, relationships and claims from raw text
+- perform community detection in entities
+- generate community summaries and reports at multiple levels of granularity
+- embed entities into a graph vector space
+- embed text chunks into a textual vector space
+
+The outputs of the pipeline can be stored in a variety of formats, including JSON and Parquet - or they can be handled manually via the Python API.
+
+## Getting Started
+
+### Requirements
+
+See the [requirements](/posts/developing#requirements) section in [Get Started](/posts/get_started) for details on setting up a development environment.
+
+The Indexing Engine can be used in either a default configuration mode or with a custom pipeline.
+To configure GraphRAG, see the [configuration](/posts/config/overview) documentation.
+After you have a config file you can run the pipeline using the CLI or the Python API.
+
+## Usage
+
+### CLI
+
+```bash
+# Via Poetry
+poetry run poe cli --root <data_root> # default config mode
+poetry run poe cli --config your_pipeline.yml # custom config mode
+
+# Via Node
+yarn run:index --root <data_root> # default config mode
+yarn run:index --config your_pipeline.yml # custom config mode
+
+```
+
+### Python API
+
+```python
+from graphrag.index import run_pipeline
+from graphrag.index.config import PipelineWorkflowReference
+
+workflows: list[PipelineWorkflowReference] = [
+    PipelineWorkflowReference(
+        steps=[
+            {
+                # built-in verb
+                "verb": "derive",  # https://github.com/microsoft/datashaper/blob/main/python/datashaper/datashaper/engine/verbs/derive.py
+                "args": {
+                    "column1": "col1",  # from above
+                    "column2": "col2",  # from above
+                    "to": "col_multiplied",  # new column name
+                    "operator": "*",  # multiply the two columns
+                },
+                # Since we're trying to act on the default input, we don't need explicitly to specify an input
+            }
+        ]
+    ),
+]
+
+dataset = pd.DataFrame([{"col1": 2, "col2": 4}, {"col1": 5, "col2": 10}])
+outputs = []
+async for output in await run_pipeline(dataset=dataset, workflows=workflows):
+    outputs.append(output)
+pipeline_result = outputs[-1]
+print(pipeline_result)
+```
+
+## Further Reading
+
+- To start developing within the _GraphRAG_ project, see [getting started](/posts/developing/)
+- To understand the underlying concepts and execution model of the indexing library, see [the architecture documentation](/posts/index/0-architecture/)
+- To get running with a series of examples, see [the examples documentation](https://github.com/microsoft/graphrag/blob/main/examples/README.md)
+- To read more about configuring the indexing engine, see [the configuration documentation](/posts/config/overview)
diff --git a/graphrag/docsite/posts/prompt_tuning/auto_prompt_tuning.md b/graphrag/docsite/posts/prompt_tuning/auto_prompt_tuning.md
new file mode 100644
index 0000000000000000000000000000000000000000..88b7418873642e0d0fcfb5e777b9ff59b1d7cc63
--- /dev/null
+++ b/graphrag/docsite/posts/prompt_tuning/auto_prompt_tuning.md
@@ -0,0 +1,74 @@
+---
+title: Prompt Tuning ⚙️
+navtitle: Auto templating
+layout: page
+tags: [post, tuning]
+date: 2024-06-13
+---
+
+GraphRAG provides the ability to create domain adaptive templates for the generation of the knowledge graph. This step is optional, though it is highly encouraged to run it as it will yield better results when executing an Index Run.
+
+The templates are generated by loading the inputs, splitting them into chunks (text units) and then running a series of LLM invocations and template substitutions to generate the final prompts. We suggest using the default values provided by the script, but in this page you'll find the detail of each in case you want to further explore and tweak the template generation algorithm.
+
+## Prerequisites
+
+Before running the automatic template generation make sure you have already initialized your workspace with the `graphrag.index --init` command. This will create the necessary configuration files and the default prompts. Refer to the [Init Documentation](/posts/config/init) for more information about the initialization process.
+
+## Usage
+
+You can run the main script from the command line with various options:
+
+```bash
+python -m graphrag.prompt_tune [--root ROOT] [--domain DOMAIN]  [--method METHOD] [--limit LIMIT] [--language LANGUAGE] [--max-tokens MAX_TOKENS] [--chunk-size CHUNK_SIZE] [--no-entity-types] [--output OUTPUT]
+```
+
+## Command-Line Options
+
+- `--root` (optional): The data project root directory, including the config files (YML, JSON, or .env). Defaults to the current directory.
+
+- `--domain` (optional): The domain related to your input data, such as 'space science', 'microbiology', or 'environmental news'. If left empty, the domain will be inferred from the input data.
+
+- `--method` (optional): The method to select documents. Options are all, random, or top. Default is random.
+
+- `--limit` (optional): The limit of text units to load when using random or top selection. Default is 15.
+
+- `--language` (optional): The language to use for input processing. If it is different from the inputs' language, the LLM will translate. Default is "" meaning it will be automatically detected from the inputs.
+
+- `--max-tokens` (optional): Maximum token count for prompt generation. Default is 2000.
+
+- `--chunk-size` (optional): The size in tokens to use for generating text units from input documents. Default is 200.
+
+- `--no-entity-types` (optional): Use untyped entity extraction generation. We recommend using this when your data covers a lot of topics or it is highly randomized.
+
+- `--output` (optional): The folder to save the generated prompts. Default is "prompts".
+
+## Example Usage
+
+```bash
+python -m graphrag.prompt_tune --root /path/to/project --domain "environmental news" --method random --limit 10 --language English --max-tokens 2048 --chunk-size 256 --no-entity-types --output /path/to/output
+```
+
+or, with minimal configuration (suggested):
+
+```bash
+python -m graphrag.prompt_tune --root /path/to/project --no-entity-types
+```
+
+## Document Selection Methods
+
+The auto template feature ingests the input data and then divides it into text units the size of the chunk size parameter.
+After that, it uses one of the following selection methods to pick a sample to work with for template generation:
+
+- `random`: Select text units randomly. This is the default and recommended option.
+- `top`: Select the head n text units.
+- `all`: Use all text units for the generation. Use only with small datasets; this option is not usually recommended.
+
+## Modify Env Vars
+
+After running auto-templating, you should modify the following environment variables (or config variables) to pick up the new prompts on your index run. Note: Please make sure to update the correct path to the generated prompts, in this example we are using the default "prompts" path.
+
+- `GRAPHRAG_ENTITY_EXTRACTION_PROMPT_FILE` = "prompts/entity_extraction.txt"
+
+- `GRAPHRAG_COMMUNITY_REPORT_PROMPT_FILE` = "prompts/community_report.txt"
+
+- `GRAPHRAG_SUMMARIZE_DESCRIPTIONS_PROMPT_FILE` = "prompts/summarize_descriptions.txt"
diff --git a/graphrag/docsite/posts/prompt_tuning/manual_prompt_tuning.md b/graphrag/docsite/posts/prompt_tuning/manual_prompt_tuning.md
new file mode 100644
index 0000000000000000000000000000000000000000..935840d253fe103f729a3b862d5e017c0bc2d9a2
--- /dev/null
+++ b/graphrag/docsite/posts/prompt_tuning/manual_prompt_tuning.md
@@ -0,0 +1,60 @@
+---
+title: Prompt Tuning⚙️
+navtitle: Manual Tuning
+layout: page
+tags: [post, tuning]
+date: 2023-01-03
+---
+
+The GraphRAG indexer, by default, will run with a handful of prompts that are designed to work well in the broad context of knowledge discovery.
+However, it is quite common to want to tune the prompts to better suit your specific use case.
+We provide a means for you to do this by allowing you to specify a custom prompt file, which will each use a series of token-replacements internally.
+
+Each of these prompts may be overridden by writing a custom prompt file in plaintext. We use token-replacements in the form of `{token_name}`, and the descriptions for the available tokens can be found below.
+
+## Entity/Relationship Extraction
+
+[Prompt Source](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/graph/prompts.py)
+
+### Tokens (values provided by extractor)
+
+- **{input_text}** - The input text to be processed.
+- **{entity_types}** - A list of entity types
+- **{tuple_delimiter}** - A delimiter for separating values within a tuple. A single tuple is used to represent an individual entity or relationship.
+- **{record_delimiter}** - A delimiter for separating tuple instances.
+- **{completion_delimiter}** - An indicator for when generation is complete.
+
+## Summarize Entity/Relationship Descriptions
+
+[Prompt Source](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/summarize/prompts.py)
+
+### Tokens (values provided by extractor)
+
+- **{entity_name}** - The name of the entity or the source/target pair of the relationship.
+- **{description_list}** - A list of descriptions for the entity or relationship.
+
+## Claim Extraction
+
+[Prompt Source](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/claims/prompts.py)
+
+### Tokens (values provided by extractor)
+
+- **{input_text}** - The input text to be processed.
+- **{tuple_delimiter}** - A delimiter for separating values within a tuple. A single tuple is used to represent an individual entity or relationship.
+- **{record_delimiter}** - A delimiter for separating tuple instances.
+- **{completion_delimiter}** - An indicator for when generation is complete.
+
+Note: there is additional paramater for the `Claim Description` that is used in claim extraction.
+The default value is
+
+`"Any claims or facts that could be relevant to information discovery."`
+
+See the [configuration documentation](/posts/config/overview/) for details on how to change this.
+
+## Generate Community Reports
+
+[Prompt Source](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/community_reports/prompts.py)
+
+### Tokens (values provided by extractor)
+
+- **{input_text}** - The input text to generate the report with. This will contain tables of entities and relationships.
diff --git a/graphrag/docsite/posts/prompt_tuning/overview.md b/graphrag/docsite/posts/prompt_tuning/overview.md
new file mode 100644
index 0000000000000000000000000000000000000000..f71b167d650ad4cd515837d625bd5bf1335eacd7
--- /dev/null
+++ b/graphrag/docsite/posts/prompt_tuning/overview.md
@@ -0,0 +1,26 @@
+---
+title: Prompt Tuning ⚙️
+navtitle: Overview
+layout: page
+tags: [post, tuning]
+date: 2024-06-13
+---
+
+This page provides an overview of the prompt tuning options available for the GraphRAG indexing engine.
+
+## Default Prompts
+
+The default prompts are the simplest way to get started with the GraphRAG system. It is designed to work out-of-the-box with minimal configuration. You can find more detail about these prompts in the following links:
+
+- [Entity/Relationship Extraction](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/graph/prompts.py)
+- [Entity/Relationship Description Summarization](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/summarize/prompts.py)
+- [Claim Extraction](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/claims/prompts.py)
+- [Community Reports](http://github.com/microsoft/graphrag/blob/main/graphrag/index/graph/extractors/community_reports/prompts.py)
+
+## Auto Templating
+
+Auto Templating leverages your input data and LLM interactions to create domain adaptive templates for the generation of the knowledge graph. It is highly encouraged to run it as it will yield better results when executing an Index Run. For more details about how to use it, please refer to the [Auto Templating](/posts/prompt_tuning/auto_prompt_tuning) documentation.
+
+## Manual Configuration
+
+Manual configuration is an advanced use-case. Most users will want to use the Auto Templating feature instead. Details about how to use manual configuration are available in the [Manual Prompt Configuration](/posts/prompt_tuning/manual_prompt_tuning) documentation.
diff --git a/graphrag/docsite/posts/query/0-global_search.md b/graphrag/docsite/posts/query/0-global_search.md
new file mode 100644
index 0000000000000000000000000000000000000000..1a0eda22fe4bc86ff6be9dd9fb3800d4a59ca0f3
--- /dev/null
+++ b/graphrag/docsite/posts/query/0-global_search.md
@@ -0,0 +1,78 @@
+---
+title: Global Search 🔎
+navtitle: Global Search
+tags: [post, orchestration]
+layout: page
+date: 2024-06-03
+---
+
+## Whole Dataset Reasoning
+
+Baseline RAG struggles with queries that require aggregation of information across the dataset to compose an answer. Queries such as “What are the top 5 themes in the data?” perform terribly because baseline RAG relies on a vector search of semantically similar text content within the dataset. There is nothing in the query to direct it to the correct information.
+
+However, with GraphRAG we can answer such questions, because the structure of the LLM-generated knowledge graph tells us about the structure (and thus themes) of the dataset as a whole. This allows the private dataset to be organized into meaningful semantic clusters that are pre-summarized. Using our [global search](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/global_search/) method, the LLM uses these clusters to summarize these themes when responding to a user query.
+
+## Methodology
+
+```mermaid
+---
+title: Global Search Dataflow
+---
+%%{ init: { 'flowchart': { 'curve': 'step' } } }%%
+flowchart LR
+
+    uq[User Query] --- .1
+    ch1[Conversation History] --- .1
+
+    subgraph RIR
+        direction TB
+        ri1[Rated Intermediate<br/>Response 1]~~~ri2[Rated Intermediate<br/>Response 2] -."{1..N}".-rin[Rated Intermediate<br/>Response N]
+    end
+
+    .1--Shuffled Community<br/>Report Batch 1-->RIR
+    .1--Shuffled Community<br/>Report Batch 2-->RIR---.2
+    .1--Shuffled Community<br/>Report Batch N-->RIR
+
+    .2--Ranking +<br/>Filtering-->agr[Aggregated Intermediate<br/>Responses]-->res[Response]
+
+
+
+     classDef green fill:#26B653,stroke:#333,stroke-width:2px,color:#fff;
+     classDef turquoise fill:#19CCD3,stroke:#333,stroke-width:2px,color:#fff;
+     classDef rose fill:#DD8694,stroke:#333,stroke-width:2px,color:#fff;
+     classDef orange fill:#F19914,stroke:#333,stroke-width:2px,color:#fff;
+     classDef purple fill:#B356CD,stroke:#333,stroke-width:2px,color:#fff;
+     classDef invisible fill:#fff,stroke:#fff,stroke-width:0px,color:#fff, width:0px;
+     class uq,ch1 turquoise;
+     class ri1,ri2,rin rose;
+     class agr orange;
+     class res purple;
+     class .1,.2 invisible;
+
+```
+
+Given a user query and, optionally, the conversation history, the global search method uses a collection of LLM-generated community reports from a specified level of the graph's community hierarchy as context data to generate response in a map-reduce manner. At the `map` step, community reports are segmented into text chunks of pre-defined size. Each text chunk is then used to produce an intermediate response containing a list of point, each of which is accompanied by a numerical rating indicating the importance of the point. At the `reduce` step, a filtered set of the most important points from the intermediate responses are aggregated and used as the context to generate the final response. 
+
+The quality of the global search’s response can be heavily influenced by the level of the community hierarchy chosen for sourcing community reports. Lower hierarchy levels, with their detailed reports, tend to yield more thorough responses, but may also increase the time and LLM resources needed to generate the final response due to the volume of reports.
+
+
+## Configuration
+
+Below are the key parameters of the [GlobalSearch class](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/global_search/search.py):
+* `llm`: OpenAI model object to be used for response generation
+* `context_builder`: [context builder](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/global_search/community_context.py) object to be used for preparing context data from community reports
+* `map_system_prompt`: prompt template used in the `map` stage. Default template can be found at [map_system_prompt](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/global_search/map_system_prompt.py)
+* `reduce_system_prompt`: prompt template used in the `reduce` stage, default template can be found at [reduce_system_prompt](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/global_search/reduce_system_prompt.py)
+* `response_type`: free-form text describing the desired response type and format (e.g., `Multiple Paragraphs`, `Multi-Page Report`)
+* `allow_general_knowledge`: setting this to True will include additional instructions to the `reduce_system_prompt` to prompt the LLM to incorporate relevant real-world knowledge outside of the dataset. Note that this may increase hallucinations, but can be useful for certain scenarios. Default is False
+*`general_knowledge_inclusion_prompt`: instruction to add to the `reduce_system_prompt` if `allow_general_knowledge` is enabled. Default instruction can be found at [general_knowledge_instruction](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/global_search/reduce_system_prompt.py)
+* `max_data_tokens`: token budget for the context data
+* `map_llm_params`: a dictionary of additional parameters (e.g., temperature, max_tokens) to be passed to the LLM call at the `map` stage
+* `reduce_llm_params`: a dictionary of additional parameters (e.g., temperature, max_tokens) to passed to the LLM call at the `reduce` stage
+* `context_builder_params`: a dictionary of additional parameters to be passed to the [`context_builder`](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/global_search/community_context.py) object when building context window for the `map` stage.
+* `concurrent_coroutines`: controls the degree of parallelism in the `map` stage.
+* `callbacks`: optional callback functions, can be used to provide custom event handlers for LLM's completion streaming events
+
+## How to Use
+
+An example of a global search scenario can be found in the following [notebook](../notebooks/global_search_nb).
\ No newline at end of file
diff --git a/graphrag/docsite/posts/query/1-local_search.md b/graphrag/docsite/posts/query/1-local_search.md
new file mode 100644
index 0000000000000000000000000000000000000000..7d2a465d40b6b6c2ebc6bb78abf2d0c0c478cca7
--- /dev/null
+++ b/graphrag/docsite/posts/query/1-local_search.md
@@ -0,0 +1,67 @@
+---
+title: Local Search 🔎
+navtitle: Local Search
+tags: [post, orchestration]
+layout: page
+date: 2024-03-28
+---
+
+## Entity-based Reasoning
+
+The [local search](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/local_search/) method combines structured data from the knowledge graph with unstructured data from the input documents to augment the LLM context with relevant entity information at query time. It is well-suited for answering questions that require an understanding of specific entities mentioned in the input documents (e.g., “What are the healing properties of chamomile?”).
+
+## Methodology
+
+```mermaid
+---
+title: Local Search Dataflow
+---
+%%{ init: { 'flowchart': { 'curve': 'step' } } }%%
+flowchart LR
+
+    uq[User Query] ---.1
+    ch1[Conversation<br/>History]---.1
+
+    .1--Entity<br/>Description<br/>Embedding--> ee[Extracted Entities]
+
+    ee[Extracted Entities] ---.2--Entity-Text<br/>Unit Mapping--> ctu[Candidate<br/>Text Units]--Ranking + <br/>Filtering -->ptu[Prioritized<br/>Text Units]---.3
+    .2--Entity-Report<br/>Mapping--> ccr[Candidate<br/>Community Reports]--Ranking + <br/>Filtering -->pcr[Prioritized<br/>Community Reports]---.3
+    .2--Entity-Entity<br/>Relationships--> ce[Candidate<br/>Entities]--Ranking + <br/>Filtering -->pe[Prioritized<br/>Entities]---.3
+    .2--Entity-Entity<br/>Relationships--> cr[Candidate<br/>Relationships]--Ranking + <br/>Filtering -->pr[Prioritized<br/>Relationships]---.3
+    .2--Entity-Covariate<br/>Mappings--> cc[Candidate<br/>Covariates]--Ranking + <br/>Filtering -->pc[Prioritized<br/>Covariates]---.3
+    ch1 -->ch2[Conversation History]---.3
+    .3-->res[Response]
+
+     classDef green fill:#26B653,stroke:#333,stroke-width:2px,color:#fff;
+     classDef turquoise fill:#19CCD3,stroke:#333,stroke-width:2px,color:#fff;
+     classDef rose fill:#DD8694,stroke:#333,stroke-width:2px,color:#fff;
+     classDef orange fill:#F19914,stroke:#333,stroke-width:2px,color:#fff;
+     classDef purple fill:#B356CD,stroke:#333,stroke-width:2px,color:#fff;
+     classDef invisible fill:#fff,stroke:#fff,stroke-width:0px,color:#fff, width:0px;
+     class uq,ch1 turquoise
+     class ee green
+     class ctu,ccr,ce,cr,cc rose
+     class ptu,pcr,pe,pr,pc,ch2 orange
+     class res purple
+     class .1,.2,.3 invisible
+
+
+```
+
+Given a user query and, optionally, the conversation history, the local search method identifies a set of entities from the knowledge graph that are semantically-related to the user input. These entities serve as access points into the knowledge graph, enabling the extraction of further relevant details such as connected entities, relationships, entity covariates, and community reports. Additionally, it also extracts relevant text chunks from the raw input documents that are associated with the identified entities. These candidate data sources are then prioritized and filtered to fit within a single context window of pre-defined size, which is used to generate a response to the user query.
+
+## Configuration
+
+Below are the key parameters of the [LocalSearch class](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/local_search/search.py):
+* `llm`: OpenAI model object to be used for response generation
+* `context_builder`: [context builder](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/local_search/mixed_context.py) object to be used for preparing context data from collections of knowledge model objects
+* `system_prompt`: prompt template used to generate the search response. Default template can be found at [system_prompt](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/local_search/system_prompt.py)
+* `response_type`: free-form text describing the desired response type and format (e.g., `Multiple Paragraphs`, `Multi-Page Report`)
+* `llm_params`: a dictionary of additional parameters (e.g., temperature, max_tokens) to be passed to the LLM call
+* `context_builder_params`: a dictionary of additional parameters to be passed to the [`context_builder`](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/local_search/mixed_context.py) object when building context for the search prompt
+* `callbacks`: optional callback functions, can be used to provide custom event handlers for LLM's completion streaming events
+
+## How to Use
+
+An example of a local search scenario can be found in the following [notebook](../notebooks/local_search_nb).
+
diff --git a/graphrag/docsite/posts/query/2-question_generation.md b/graphrag/docsite/posts/query/2-question_generation.md
new file mode 100644
index 0000000000000000000000000000000000000000..73a89f1f294956ad33a89db2375e2e7e4764e4fb
--- /dev/null
+++ b/graphrag/docsite/posts/query/2-question_generation.md
@@ -0,0 +1,28 @@
+---
+title: Question Generation ❔
+navtitle: Question Generation
+tags: [post, orchestration]
+layout: page
+date: 2024-03-28
+---
+
+## Entity-based Question Generation
+
+The [question generation](https://github.com/microsoft/graphrag/blob/main//graphrag/query/question_gen/) method combines structured data from the knowledge graph with unstructured data from the input documents to generate candidate questions related to specific entities.
+
+## Methodology
+Given a list of prior user questions, the question generation method uses the same context-building approach employed in [local search](1-local_search.md) to extract and prioritize relevant structured and unstructured data, including entities, relationships, covariates, community reports and raw text chunks. These data records are then fitted into a single LLM prompt to generate candidate follow-up questions that represent the most important or urgent information content or themes in the data.
+
+## Configuration
+
+Below are the key parameters of the [Question Generation class](https://github.com/microsoft/graphrag/blob/main//graphrag/query/question_gen/local_gen.py):
+* `llm`: OpenAI model object to be used for response generation
+* `context_builder`: [context builder](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/local_search/mixed_context.py) object to be used for preparing context data from collections of knowledge model objects, using the same context builder class as in local search
+* `system_prompt`: prompt template used to generate candidate questions. Default template can be found at [system_prompt](https://github.com/microsoft/graphrag/blob/main//graphrag/query/question_gen/system_prompt.py)
+* `llm_params`: a dictionary of additional parameters (e.g., temperature, max_tokens) to be passed to the LLM call
+* `context_builder_params`: a dictionary of additional parameters to be passed to the [`context_builder`](https://github.com/microsoft/graphrag/blob/main//graphrag/query/structured_search/local_search/mixed_context.py) object when building context for the question generation prompt
+* `callbacks`: optional callback functions, can be used to provide custom event handlers for LLM's completion streaming events
+
+## How to Use
+
+An example of the question generation function can be found in the following [notebook](../notebooks/local_search_nb).
diff --git a/graphrag/docsite/posts/query/3-cli.md b/graphrag/docsite/posts/query/3-cli.md
new file mode 100644
index 0000000000000000000000000000000000000000..c1a88f9eb4651578decace8935f1ab2747336fcd
--- /dev/null
+++ b/graphrag/docsite/posts/query/3-cli.md
@@ -0,0 +1,48 @@
+---
+title: Query CLI
+navtitle: CLI
+layout: page
+tags: [post, orchestration]
+date: 2024-27-03
+---
+
+The GraphRAG query CLI allows for no-code usage of the GraphRAG Query engine.
+
+```bash
+python -m graphrag.query --data <path-to-data> --community_level <comunit-level> --response_type <response-type> --method <"local"|"global"> <query>
+```
+
+## CLI Arguments
+
+- `--data <path-to-data>` - Folder containing the `.parquet` output files from running the Indexer.
+- `--community_level <community-level>` - Community level in the Leiden community hierarchy from which we will load the community reports higher value means we use reports on smaller communities. Default: 2
+- `--response_type <response-type>` - Free form text describing the response type and format, can be anything, e.g. `Multiple Paragraphs`, `Single Paragraph`, `Single Sentence`, `List of 3-7 Points`, `Single Page`, `Multi-Page Report`. Default: `Multiple Paragraphs`.
+- `--method <"local"|"global">` - Method to use to answer the query, one of local or global. For more information check [Overview](overview.md)
+
+## Env Variables
+
+Required environment variables to execute:
+- `GRAPHRAG_API_KEY` - API Key for executing the model, will fallback to `OPENAI_API_KEY` if one is not provided.
+- `GRAPHRAG_LLM_MODEL` - Model to use for Chat Completions.
+- `GRAPHRAG_EMBEDDING_MODEL` - Model to use for Embeddings.
+
+You can further customize the execution by providing these environment variables:
+
+- `GRAPHRAG_LLM_API_BASE` - The API Base URL. Default: `None`
+- `GRAPHRAG_LLM_TYPE` - The LLM operation type. Either `openai_chat` or `azure_openai_chat`. Default: `openai_chat`
+- `GRAPHRAG_LLM_MAX_RETRIES` - The maximum number of retries to attempt when a request fails. Default: `20`
+- `GRAPHRAG_EMBEDDING_API_BASE` - The API Base URL. Default: `None`
+- `GRAPHRAG_EMBEDDING_TYPE` - The embedding client to use. Either `openai_embedding` or `azure_openai_embedding`. Default: `openai_embedding`
+- `GRAPHRAG_EMBEDDING_MAX_RETRIES` - The maximum number of retries to attempt when a request fails. Default: `20`
+- `GRAPHRAG_LOCAL_SEARCH_TEXT_UNIT_PROP` - Proportion of context window dedicated to related text units. Default: `0.5`
+- `GRAPHRAG_LOCAL_SEARCH_COMMUNITY_PROP` - Proportion of context window dedicated to community reports. Default: `0.1`
+- `GRAPHRAG_LOCAL_SEARCH_CONVERSATION_HISTORY_MAX_TURNS` - Maximum number of turns to include in the conversation history. Default: `5`
+- `GRAPHRAG_LOCAL_SEARCH_TOP_K_ENTITIES` - Number of related entities to retrieve from the entity description embedding store. Default: `10`
+- `GRAPHRAG_LOCAL_SEARCH_TOP_K_RELATIONSHIPS` - Control the number of out-of-network relationships to pull into the context window. Default: `10`
+- `GRAPHRAG_LOCAL_SEARCH_MAX_TOKENS` - Change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000). Default: `12000`
+- `GRAPHRAG_LOCAL_SEARCH_LLM_MAX_TOKENS` - Change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 1000=1500). Default: `2000`
+- `GRAPHRAG_GLOBAL_SEARCH_MAX_TOKENS` - Change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000). Default: `12000`
+- `GRAPHRAG_GLOBAL_SEARCH_DATA_MAX_TOKENS` - Change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000). Default: `12000`
+- `GRAPHRAG_GLOBAL_SEARCH_MAP_MAX_TOKENS` - Default: `500`
+- `GRAPHRAG_GLOBAL_SEARCH_REDUCE_MAX_TOKENS` - Change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 1000-1500). Default: `2000`
+- `GRAPHRAG_GLOBAL_SEARCH_CONCURRENCY` - Default: `32`
\ No newline at end of file
diff --git a/graphrag/docsite/posts/query/notebooks/overview.md b/graphrag/docsite/posts/query/notebooks/overview.md
new file mode 100644
index 0000000000000000000000000000000000000000..cf1a82593d09bb7e29f6ec486107f8ec02204c63
--- /dev/null
+++ b/graphrag/docsite/posts/query/notebooks/overview.md
@@ -0,0 +1,13 @@
+---
+title: Query Engine Notebooks
+navtitle: Query Engine Notebooks
+layout: page
+tags: [post, notebook]
+---
+
+For examples about running Query please refer to the following notebooks:
+
+- [Global Search Notebook](/posts/query/notebooks/global_search_nb)
+- [Local Search Notebook](/posts/query/notebooks/local_search_nb)
+
+The test dataset for these notebooks can be found [here](/data/operation_dulce/dataset.zip).
\ No newline at end of file
diff --git a/graphrag/docsite/posts/query/overview.md b/graphrag/docsite/posts/query/overview.md
new file mode 100644
index 0000000000000000000000000000000000000000..2b725759eb228711fc29a7cd7d59e37fe460a573
--- /dev/null
+++ b/graphrag/docsite/posts/query/overview.md
@@ -0,0 +1,31 @@
+---
+title: Query Engine  🔎
+navtitle: Overview
+tags: [post]
+layout: page
+---
+
+The Query Engine is the retrieval module of the Graph RAG Library. It is one of the two main components of the Graph RAG library, the other being the Indexing Pipeline (see [Indexing Pipeline](/posts/index/overview)).
+It is responsible for the following tasks:
+
+- [Local Search](#local-search)
+- [Global Search](#global-search)
+- [Question Generation](#question-generation)
+
+## Local Search
+
+Local search method generates answers by combining relevant data from the AI-extracted knowledge-graph with text chunks of the raw documents. This method is suitable for questions that require an understanding of specific entities mentioned in the documents (e.g. What are the healing properties of chamomile?).
+
+For more details about how Local Search works please refer to the [Local Search](/posts/query/1-local_search) documentation.
+
+## Global Search
+
+Global search method generates answers by searching over all AI-generated community reports in a map-reduce fashion. This is a resource-intensive method, but often gives good responses for questions that require an understanding of the dataset as a whole (e.g. What are the most significant values of the herbs mentioned in this notebook?).
+
+More about this can be checked at the [Global Search](/posts/query/0-global_search) documentation.
+
+## Question Generation
+
+This functionality takes a list of user queries and generates the next candidate questions. This is useful for generating follow-up questions in a conversation or for generating a list of questions for the investigator to dive deeper into the dataset.
+
+Information about how question generation works can be found at the [Question Generation](/posts/query/2-question_generation) documentation page.
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+  resolution: "wrappy@npm:1.0.2"
+  checksum: 159da4805f7e84a3d003d8841557196034155008f817172d4e986bd591f74aa82aa7db55929a54222309e01079a65a92a9e6414da5a6aa4b01ee44a511ac3ee5
+  languageName: node
+  linkType: hard
+
+"ws@npm:^8.13.0":
+  version: 8.17.1
+  resolution: "ws@npm:8.17.1"
+  peerDependencies:
+    bufferutil: ^4.0.1
+    utf-8-validate: ">=5.0.2"
+  peerDependenciesMeta:
+    bufferutil:
+      optional: true
+    utf-8-validate:
+      optional: true
+  checksum: 4264ae92c0b3e59c7e309001e93079b26937aab181835fb7af79f906b22cd33b6196d96556dafb4e985742dd401e99139572242e9847661fdbc96556b9e6902d
+  languageName: node
+  linkType: hard
+
+"yallist@npm:^4.0.0":
+  version: 4.0.0
+  resolution: "yallist@npm:4.0.0"
+  checksum: 4cb02b42b8a93b5cf50caf5d8e9beb409400a8a4d85e83bb0685c1457e9ac0b7a00819e9f5991ac25ffabb56a78e2f017c1acc010b3a1babfe6de690ba531abd
+  languageName: node
+  linkType: hard
diff --git a/graphrag/examples/README.md b/graphrag/examples/README.md
new file mode 100644
index 0000000000000000000000000000000000000000..5d80b4fd4c4b13d94d57189acc588d35e5a24015
--- /dev/null
+++ b/graphrag/examples/README.md
@@ -0,0 +1,19 @@
+# Indexing Engine Examples
+This directory contains several examples of how to use the indexing engine.
+
+Most examples include two different forms of running the pipeline, both are contained in the examples `run.py`
+1. Using mostly the Python API
+2. Using mostly the a pipeline configuration file
+
+# Running an Example
+First run `poetry shell` to activate a virtual environment with the required dependencies.
+
+Then run `PYTHONPATH="$(pwd)" python examples/path_to_example/run.py` from the `python/graphrag` directory.
+
+For example to run the single_verb example, you would run the following commands:
+
+```bash
+cd python/graphrag
+poetry shell
+PYTHONPATH="$(pwd)" python examples/single_verb/run.py
+```
\ No newline at end of file
diff --git a/graphrag/examples/__init__.py b/graphrag/examples/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/examples/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/examples/custom_input/__init__.py b/graphrag/examples/custom_input/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/examples/custom_input/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/examples/custom_input/pipeline.yml b/graphrag/examples/custom_input/pipeline.yml
new file mode 100644
index 0000000000000000000000000000000000000000..80340c82911a91ce99955f275f0478d0064e01a4
--- /dev/null
+++ b/graphrag/examples/custom_input/pipeline.yml
@@ -0,0 +1,24 @@
+
+# Setup reporting however you'd like
+reporting:
+  type: console
+
+# Setup storage however you'd like
+storage:
+  type: memory
+
+# Setup cache however you'd like
+cache: 
+  type: memory
+
+# Just a simple workflow
+workflows:
+
+  # This is an anonymous workflow, it doesn't have a name
+  - steps:
+
+    # Unpack the nodes from the graph
+    - verb: fill
+      args:
+        to: filled_column
+        value: "Filled Value"
\ No newline at end of file
diff --git a/graphrag/examples/custom_input/run.py b/graphrag/examples/custom_input/run.py
new file mode 100644
index 0000000000000000000000000000000000000000..ba39033e120daa1fc15855e5473ae390636cbc85
--- /dev/null
+++ b/graphrag/examples/custom_input/run.py
@@ -0,0 +1,46 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import asyncio
+import os
+
+import pandas as pd
+
+from graphrag.index import run_pipeline_with_config
+
+pipeline_file = os.path.join(
+    os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml"
+)
+
+
+async def run():
+    # Load your dataset
+    dataset = _load_dataset_some_unique_way()
+
+    # Load your config without the input section
+    config = pipeline_file
+
+    # Grab the last result from the pipeline, should be our entity extraction
+    outputs = []
+    async for output in run_pipeline_with_config(
+        config_or_path=config, dataset=dataset
+    ):
+        outputs.append(output)
+    pipeline_result = outputs[-1]
+
+    if pipeline_result.result is not None:
+        # Should look something like
+        #            col1  col2 filled_column
+        # 0     2     4  Filled Value
+        # 1     5    10  Filled Value
+        print(pipeline_result.result)
+    else:
+        print("No results!")
+
+
+def _load_dataset_some_unique_way() -> pd.DataFrame:
+    # Totally loaded from some other place
+    return pd.DataFrame([{"col1": 2, "col2": 4}, {"col1": 5, "col2": 10}])
+
+
+if __name__ == "__main__":
+    asyncio.run(run())
diff --git a/graphrag/examples/custom_set_of_available_verbs/__init__.py b/graphrag/examples/custom_set_of_available_verbs/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/examples/custom_set_of_available_verbs/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/examples/custom_set_of_available_verbs/custom_verb_definitions.py b/graphrag/examples/custom_set_of_available_verbs/custom_verb_definitions.py
new file mode 100644
index 0000000000000000000000000000000000000000..ef058ed3d63e3feb42fd05dc90657a8b7af0878d
--- /dev/null
+++ b/graphrag/examples/custom_set_of_available_verbs/custom_verb_definitions.py
@@ -0,0 +1,22 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+from datashaper import TableContainer, VerbInput
+
+
+def str_append(
+    input: VerbInput, source_column: str, target_column: str, string_to_append: str
+):
+    """A custom verb that appends a string to a column"""
+    # by convention, we typically use "column" as the input column name and "to" as the output column name, but you can use whatever you want
+    # just as long as the "args" in the workflow reference match the function signature
+    input_data = input.get_input()
+    output_df = input_data.copy()
+    output_df[target_column] = output_df[source_column].apply(
+        lambda x: f"{x}{string_to_append}"
+    )
+    return TableContainer(table=output_df)
+
+
+custom_verbs = {
+    "str_append": str_append,
+}
diff --git a/graphrag/examples/custom_set_of_available_verbs/pipeline.yml b/graphrag/examples/custom_set_of_available_verbs/pipeline.yml
new file mode 100644
index 0000000000000000000000000000000000000000..85bcdb24b73808cf99cfc6194b7d524c8676f113
--- /dev/null
+++ b/graphrag/examples/custom_set_of_available_verbs/pipeline.yml
@@ -0,0 +1,7 @@
+workflows:
+ - steps:
+    - verb: "str_append"  # should be the key that you pass to the custom_verbs dict below
+      args: 
+        source_column: "col1"
+        target_column: "col_1_custom"
+        string_to_append: " - custom verb"
\ No newline at end of file
diff --git a/graphrag/examples/custom_set_of_available_verbs/run.py b/graphrag/examples/custom_set_of_available_verbs/run.py
new file mode 100644
index 0000000000000000000000000000000000000000..7e3f461731cc1df3c1635378a7ec6747c2dd850d
--- /dev/null
+++ b/graphrag/examples/custom_set_of_available_verbs/run.py
@@ -0,0 +1,84 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import asyncio
+import os
+
+import pandas as pd
+
+from examples.custom_set_of_available_verbs.custom_verb_definitions import custom_verbs
+from graphrag.index import run_pipeline, run_pipeline_with_config
+from graphrag.index.config import PipelineWorkflowReference
+
+# Our fake dataset
+dataset = pd.DataFrame([{"col1": 2, "col2": 4}, {"col1": 5, "col2": 10}])
+
+
+async def run_with_config():
+    """Run a pipeline with a config file"""
+    # load pipeline.yml in this directory
+    config_path = os.path.join(
+        os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml"
+    )
+
+    outputs = []
+    async for output in run_pipeline_with_config(
+        config_or_path=config_path, dataset=dataset
+    ):
+        outputs.append(output)
+    pipeline_result = outputs[-1]
+
+    if pipeline_result.result is not None:
+        # Should look something like this, which should be identical to the python example:
+        #    col1  col2  col_1_custom
+        # 0     2     4  2 - custom verb
+        # 1     5    10  5 - custom verb
+        print(pipeline_result.result)
+    else:
+        print("No results!")
+
+
+async def run_python():
+    workflows: list[PipelineWorkflowReference] = [
+        PipelineWorkflowReference(
+            name="my_workflow",
+            steps=[
+                {
+                    "verb": "str_append",  # should be the key that you pass to the custom_verbs dict below
+                    "args": {
+                        "source_column": "col1",  # from above
+                        "target_column": "col_1_custom",  # new column name,
+                        "string_to_append": " - custom verb",  # The string to append to the column
+                    },
+                    # Since we're trying to act on the default input, we don't need explicitly to specify an input
+                }
+            ],
+        ),
+    ]
+
+    # Run the pipeline
+    outputs = []
+    async for output in run_pipeline(
+        dataset=dataset,
+        workflows=workflows,
+        additional_verbs=custom_verbs,
+    ):
+        outputs.append(output)
+
+    # Find the result from the workflow we care about
+    pipeline_result = next(
+        (output for output in outputs if output.workflow == "my_workflow"), None
+    )
+
+    if pipeline_result is not None and pipeline_result.result is not None:
+        # Should look something like this:
+        #    col1  col2     col_1_custom
+        # 0     2     4  2 - custom verb
+        # 1     5    10  5 - custom verb
+        print(pipeline_result.result)
+    else:
+        print("No results!")
+
+
+if __name__ == "__main__":
+    asyncio.run(run_python())
+    asyncio.run(run_with_config())
diff --git a/graphrag/examples/custom_set_of_available_workflows/__init__.py b/graphrag/examples/custom_set_of_available_workflows/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/examples/custom_set_of_available_workflows/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/examples/custom_set_of_available_workflows/custom_workflow_definitions.py b/graphrag/examples/custom_set_of_available_workflows/custom_workflow_definitions.py
new file mode 100644
index 0000000000000000000000000000000000000000..7d91750fa0382c9a0a296fbf09109e2b73bb9c17
--- /dev/null
+++ b/graphrag/examples/custom_set_of_available_workflows/custom_workflow_definitions.py
@@ -0,0 +1,36 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+from graphrag.index.workflows import WorkflowDefinitions
+
+# Sets up the list of custom workflows that can be used in a pipeline
+# The idea being that you can have a pool of workflows that can be used in any number of
+# your pipelines
+custom_workflows: WorkflowDefinitions = {
+    "my_workflow": lambda config: [
+        {
+            "verb": "derive",
+            "args": {
+                "column1": "col1",  # looks for col1 in the dataset
+                "column2": "col2",  # looks for col2 in the dataset
+                "to": config.get(
+                    # Allow the user to specify the output column name,
+                    # otherwise default to "output_column"
+                    "derive_output_column",
+                    "output_column",
+                ),  # new column name,
+                "operator": "*",
+            },
+        }
+    ],
+    "my_unused_workflow": lambda _config: [
+        {
+            "verb": "derive",
+            "args": {
+                "column1": "col1",  # looks for col1 in the dataset
+                "column2": "col2",  # looks for col2 in the dataset
+                "to": "unused_output_column",
+                "operator": "*",
+            },
+        }
+    ],
+}
diff --git a/graphrag/examples/custom_set_of_available_workflows/pipeline.yml b/graphrag/examples/custom_set_of_available_workflows/pipeline.yml
new file mode 100644
index 0000000000000000000000000000000000000000..0ce004d154ec6e5ecdcf0db7ba7c987afe6c1a24
--- /dev/null
+++ b/graphrag/examples/custom_set_of_available_workflows/pipeline.yml
@@ -0,0 +1,4 @@
+workflows:
+  - name: my_workflow
+    config:
+      derive_output_column: "col_1_multiplied"
diff --git a/graphrag/examples/custom_set_of_available_workflows/run.py b/graphrag/examples/custom_set_of_available_workflows/run.py
new file mode 100644
index 0000000000000000000000000000000000000000..c91f24f795acaf7e6de46de6fe5274528c870bce
--- /dev/null
+++ b/graphrag/examples/custom_set_of_available_workflows/run.py
@@ -0,0 +1,85 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import asyncio
+import os
+
+import pandas as pd
+
+from examples.custom_set_of_available_workflows.custom_workflow_definitions import (
+    custom_workflows,
+)
+from graphrag.index import run_pipeline, run_pipeline_with_config
+from graphrag.index.config import PipelineWorkflowReference
+
+sample_data_dir = os.path.join(
+    os.path.dirname(os.path.abspath(__file__)), "../_sample_data/"
+)
+
+# our fake dataset
+dataset = pd.DataFrame([{"col1": 2, "col2": 4}, {"col1": 5, "col2": 10}])
+
+
+async def run_with_config():
+    """Run a pipeline with a config file"""
+    # load pipeline.yml in this directory
+    config_path = os.path.join(
+        os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml"
+    )
+
+    # Grab the last result from the pipeline, should be our entity extraction
+    tables = []
+    async for table in run_pipeline_with_config(
+        config_or_path=config_path,
+        dataset=dataset,
+        additional_workflows=custom_workflows,
+    ):
+        tables.append(table)
+    pipeline_result = tables[-1]
+
+    if pipeline_result.result is not None:
+        # Should look something like this:
+        #    col1  col2  col_1_multiplied
+        # 0     2     4                 8
+        # 1     5    10                50
+        print(pipeline_result.result)
+    else:
+        print("No results!")
+
+
+async def run_python():
+    """Run a pipeline using the python API"""
+    # Define the actual workflows to be run, this is identical to the python api
+    # but we're defining the workflows to be run via python instead of via a config file
+    workflows: list[PipelineWorkflowReference] = [
+        # run my_workflow against the dataset, notice we're only using the "my_workflow" workflow
+        # and not the "my_unused_workflow" workflow
+        PipelineWorkflowReference(
+            name="my_workflow",  # should match the name of the workflow in the custom_workflows dict above
+            config={  # pass in a config
+                # set the derive_output_column to be "col_1_multiplied",  this will be passed to the workflow definition above
+                "derive_output_column": "col_1_multiplied"
+            },
+        ),
+    ]
+
+    # Grab the last result from the pipeline, should be our entity extraction
+    tables = []
+    async for table in run_pipeline(
+        workflows, dataset=dataset, additional_workflows=custom_workflows
+    ):
+        tables.append(table)
+    pipeline_result = tables[-1]
+
+    if pipeline_result.result is not None:
+        # Should look something like this:
+        #    col1  col2  col_1_multiplied
+        # 0     2     4                 8
+        # 1     5    10                50
+        print(pipeline_result.result)
+    else:
+        print("No results!")
+
+
+if __name__ == "__main__":
+    asyncio.run(run_python())
+    asyncio.run(run_with_config())
diff --git a/graphrag/examples/entity_extraction/__init__.py b/graphrag/examples/entity_extraction/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/examples/entity_extraction/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/examples/entity_extraction/with_graph_intelligence/__init__.py b/graphrag/examples/entity_extraction/with_graph_intelligence/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/examples/entity_extraction/with_graph_intelligence/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/examples/entity_extraction/with_graph_intelligence/pipeline.yml b/graphrag/examples/entity_extraction/with_graph_intelligence/pipeline.yml
new file mode 100644
index 0000000000000000000000000000000000000000..ffa5bee843540ac5b58ce0b931cc76d936934d50
--- /dev/null
+++ b/graphrag/examples/entity_extraction/with_graph_intelligence/pipeline.yml
@@ -0,0 +1,16 @@
+workflows:
+  - name: "entity_extraction"
+    config:
+      entity_extract:
+        strategy:
+          type: "graph_intelligence"
+          llm:
+            type: "openai_chat"
+
+            # create a .env file in the same directory as this pipeline.yml file
+            # end add the following lines to it:
+            # EXAMPLE_OPENAI_API_KEY="YOUR_API_KEY"
+            api_key: !ENV ${EXAMPLE_OPENAI_API_KEY:None} # None is the default
+            model: !ENV ${EXAMPLE_OPENAI_MODEL:gpt-3.5-turbo} # gpt-3.5-turbo is the default
+            max_tokens: !ENV ${EXAMPLE_OPENAI_MAX_TOKENS:2500} # 2500 is the default
+            temperature: !ENV ${EXAMPLE_OPENAI_TEMPERATURE:0} # 0 is the default
diff --git a/graphrag/examples/entity_extraction/with_graph_intelligence/run.py b/graphrag/examples/entity_extraction/with_graph_intelligence/run.py
new file mode 100644
index 0000000000000000000000000000000000000000..0ec54dda29672d35b6d6c1bb38ceec5a5dc13626
--- /dev/null
+++ b/graphrag/examples/entity_extraction/with_graph_intelligence/run.py
@@ -0,0 +1,111 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import asyncio
+import os
+
+from graphrag.index import run_pipeline, run_pipeline_with_config
+from graphrag.index.config import PipelineCSVInputConfig, PipelineWorkflowReference
+from graphrag.index.input import load_input
+
+sample_data_dir = os.path.join(
+    os.path.dirname(os.path.abspath(__file__)), "../../_sample_data/"
+)
+
+shared_dataset = asyncio.run(
+    load_input(
+        PipelineCSVInputConfig(
+            file_pattern=".*\\.csv$",
+            base_dir=sample_data_dir,
+            source_column="author",
+            text_column="message",
+            timestamp_column="date(yyyyMMddHHmmss)",
+            timestamp_format="%Y%m%d%H%M%S",
+            title_column="message",
+        ),
+    )
+)
+
+
+async def run_with_config():
+    """Run a pipeline with a config file"""
+    # We're cheap, and this is an example, lets just do 10
+    dataset = shared_dataset.head(10)
+
+    # load pipeline.yml in this directory
+    config_path = os.path.join(
+        os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml"
+    )
+
+    # Grab the last result from the pipeline, should be our entity extraction
+    tables = []
+    async for table in run_pipeline_with_config(
+        config_or_path=config_path, dataset=dataset
+    ):
+        tables.append(table)
+    pipeline_result = tables[-1]
+
+    # Print the entities.  This will be a row for each text unit, each with a list of entities,
+    # This should look pretty close to the python version, but since we're using an LLM
+    # it will be a little different depending on how it feels about the text
+    if pipeline_result.result is not None:
+        print(pipeline_result.result["entities"].to_list())
+    else:
+        print("No results!")
+
+
+async def run_python():
+    if (
+        "EXAMPLE_OPENAI_API_KEY" not in os.environ
+        and "OPENAI_API_KEY" not in os.environ
+    ):
+        msg = "Please set EXAMPLE_OPENAI_API_KEY or OPENAI_API_KEY environment variable to run this example"
+        raise Exception(msg)
+
+    # We're cheap, and this is an example, lets just do 10
+    dataset = shared_dataset.head(10)
+
+    workflows: list[PipelineWorkflowReference] = [
+        PipelineWorkflowReference(
+            name="entity_extraction",
+            config={
+                "entity_extract": {
+                    "strategy": {
+                        "type": "graph_intelligence",
+                        "llm": {
+                            "type": "openai_chat",
+                            "api_key": os.environ.get(
+                                "EXAMPLE_OPENAI_API_KEY",
+                                os.environ.get("OPENAI_API_KEY", None),
+                            ),
+                            "model": os.environ.get(
+                                "EXAMPLE_OPENAI_MODEL", "gpt-3.5-turbo"
+                            ),
+                            "max_tokens": os.environ.get(
+                                "EXAMPLE_OPENAI_MAX_TOKENS", 2500
+                            ),
+                            "temperature": os.environ.get(
+                                "EXAMPLE_OPENAI_TEMPERATURE", 0
+                            ),
+                        },
+                    }
+                }
+            },
+        )
+    ]
+
+    # Grab the last result from the pipeline, should be our entity extraction
+    tables = []
+    async for table in run_pipeline(dataset=dataset, workflows=workflows):
+        tables.append(table)
+    pipeline_result = tables[-1]
+
+    # Print the entities.  This will be a row for each text unit, each with a list of entities
+    if pipeline_result.result is not None:
+        print(pipeline_result.result["entities"].to_list())
+    else:
+        print("No results!")
+
+
+if __name__ == "__main__":
+    asyncio.run(run_python())
+    asyncio.run(run_with_config())
diff --git a/graphrag/examples/entity_extraction/with_nltk/__init__.py b/graphrag/examples/entity_extraction/with_nltk/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/examples/entity_extraction/with_nltk/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/examples/entity_extraction/with_nltk/pipeline.yml b/graphrag/examples/entity_extraction/with_nltk/pipeline.yml
new file mode 100644
index 0000000000000000000000000000000000000000..10984f348224024ca9e871949379f09731ffda1b
--- /dev/null
+++ b/graphrag/examples/entity_extraction/with_nltk/pipeline.yml
@@ -0,0 +1,6 @@
+workflows:
+  - name: "entity_extraction"
+    config:
+      entity_extract:
+          strategy: 
+              type: "nltk"
\ No newline at end of file
diff --git a/graphrag/examples/entity_extraction/with_nltk/run.py b/graphrag/examples/entity_extraction/with_nltk/run.py
new file mode 100644
index 0000000000000000000000000000000000000000..68575ad67b0f73ea6ba4f38298dc99623a2e6341
--- /dev/null
+++ b/graphrag/examples/entity_extraction/with_nltk/run.py
@@ -0,0 +1,78 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import asyncio
+import os
+
+from graphrag.index import run_pipeline, run_pipeline_with_config
+from graphrag.index.config import PipelineCSVInputConfig, PipelineWorkflowReference
+from graphrag.index.input import load_input
+
+sample_data_dir = os.path.join(
+    os.path.dirname(os.path.abspath(__file__)), "../../_sample_data/"
+)
+shared_dataset = asyncio.run(
+    load_input(
+        PipelineCSVInputConfig(
+            file_pattern=".*\\.csv$",
+            base_dir=sample_data_dir,
+            source_column="author",
+            text_column="message",
+            timestamp_column="date(yyyyMMddHHmmss)",
+            timestamp_format="%Y%m%d%H%M%S",
+            title_column="message",
+        ),
+    )
+)
+
+
+async def run_with_config():
+    """Run a pipeline with a config file"""
+    # We're cheap, and this is an example, lets just do 10
+    dataset = shared_dataset.head(10)
+
+    # load pipeline.yml in this directory
+    config_path = os.path.join(
+        os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml"
+    )
+
+    # Grab the last result from the pipeline, should be our entity extraction
+    tables = []
+    async for table in run_pipeline_with_config(
+        config_or_path=config_path, dataset=dataset
+    ):
+        tables.append(table)
+    pipeline_result = tables[-1]
+
+    # Print the entities.  This will be a row for each text unit, each with a list of entities
+    if pipeline_result.result is not None:
+        print(pipeline_result.result["entities"].to_list())
+    else:
+        print("No results!")
+
+
+async def run_python():
+    dataset = shared_dataset.head(10)
+
+    workflows: list[PipelineWorkflowReference] = [
+        PipelineWorkflowReference(
+            name="entity_extraction",
+            config={"entity_extract": {"strategy": {"type": "nltk"}}},
+        )
+    ]
+
+    # Grab the last result from the pipeline, should be our entity extraction
+    tables = []
+    async for table in run_pipeline(dataset=dataset, workflows=workflows):
+        tables.append(table)
+    pipeline_result = tables[-1]
+
+    # Print the entities.  This will be a row for each text unit, each with a list of entities
+    if pipeline_result.result is not None:
+        print(pipeline_result.result["entities"].to_list())
+    else:
+        print("No results!")
+
+
+if __name__ == "__main__":
+    asyncio.run(run_python())
+    asyncio.run(run_with_config())
diff --git a/graphrag/examples/interdependent_workflows/__init__.py b/graphrag/examples/interdependent_workflows/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/examples/interdependent_workflows/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/examples/interdependent_workflows/pipeline.yml b/graphrag/examples/interdependent_workflows/pipeline.yml
new file mode 100644
index 0000000000000000000000000000000000000000..30bf81f9d2e93e3f0d77bf7736d57681e0f1ce2b
--- /dev/null
+++ b/graphrag/examples/interdependent_workflows/pipeline.yml
@@ -0,0 +1,23 @@
+workflows:
+  - name: aggregate_workflow
+    steps:
+      - verb: "aggregate"  # https://github.com/microsoft/datashaper/blob/main/python/datashaper/datashaper/engine/verbs/aggregate.py
+        args:
+            groupby: "type"
+            column: "col_multiplied"
+            to: "aggregated_output"
+            operation: "sum"
+        input:
+          source: "workflow:derive_workflow" # reference the derive_workflow, cause this one requires that one to run first
+            # Notice, these are out of order, the indexing engine will figure out the right order to run them in
+
+  - name: derive_workflow
+    steps:
+      - verb: "derive" # https://github.com/microsoft/datashaper/blob/main/python/datashaper/datashaper/engine/verbs/derive.py
+        args:
+          column1: "col1"  # from above
+          column2: "col2"  # from above
+          to: "col_multiplied"  # new column name
+          operator: "*"  # multiply the two columns,
+    # Since we're trying to act on the dataset, we don't need explicitly to specify an input
+      # "input": { "source": "source" } # use the dataset as the input to this verb. This is the default, so you can omit it.
\ No newline at end of file
diff --git a/graphrag/examples/interdependent_workflows/run.py b/graphrag/examples/interdependent_workflows/run.py
new file mode 100644
index 0000000000000000000000000000000000000000..9b486fa0e73f65d996af6fa4e78e83b51917535f
--- /dev/null
+++ b/graphrag/examples/interdependent_workflows/run.py
@@ -0,0 +1,102 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import asyncio
+import os
+
+import pandas as pd
+
+from graphrag.index import run_pipeline, run_pipeline_with_config
+from graphrag.index.config import PipelineWorkflowReference
+
+# Our fake dataset
+dataset = pd.DataFrame([
+    {"type": "A", "col1": 2, "col2": 4},
+    {"type": "A", "col1": 5, "col2": 10},
+    {"type": "A", "col1": 15, "col2": 26},
+    {"type": "B", "col1": 6, "col2": 15},
+])
+
+
+async def run_with_config():
+    """Run a pipeline with a config file"""
+    # load pipeline.yml in this directory
+    config_path = os.path.join(
+        os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml"
+    )
+
+    tables = []
+    async for table in run_pipeline_with_config(
+        config_or_path=config_path, dataset=dataset
+    ):
+        tables.append(table)
+    pipeline_result = tables[-1]
+
+    if pipeline_result.result is not None:
+        # Should look something like this, which should be identical to the python example:
+        #     type  aggregated_output
+        # 0    A                448
+        # 1    B                 90
+        print(pipeline_result.result)
+    else:
+        print("No results!")
+
+
+async def run_python():
+    workflows: list[PipelineWorkflowReference] = [
+        PipelineWorkflowReference(
+            name="aggregate_workflow",
+            steps=[
+                {
+                    "verb": "aggregate",  # https://github.com/microsoft/datashaper/blob/main/python/datashaper/datashaper/engine/verbs/aggregate.py
+                    "args": {
+                        "groupby": "type",
+                        "column": "col_multiplied",
+                        "to": "aggregated_output",
+                        "operation": "sum",
+                    },
+                    "input": {
+                        "source": "workflow:derive_workflow",  # reference the derive_workflow, cause this one requires that one to run first
+                        # Notice, these are out of order, the indexing engine will figure out the right order to run them in
+                    },
+                }
+            ],
+        ),
+        PipelineWorkflowReference(
+            name="derive_workflow",
+            steps=[
+                {
+                    # built-in verb
+                    "verb": "derive",  # https://github.com/microsoft/datashaper/blob/main/python/datashaper/datashaper/engine/verbs/derive.py
+                    "args": {
+                        "column1": "col1",  # from above
+                        "column2": "col2",  # from above
+                        "to": "col_multiplied",  # new column name
+                        "operator": "*",  # multiply the two columns,
+                    },
+                    # Since we're trying to act on the default input, we don't need explicitly to specify an input
+                }
+            ],
+        ),
+    ]
+
+    # Grab the last result from the pipeline, should be our aggregate_workflow since it should be the last one to run
+    tables = []
+    async for table in run_pipeline(dataset=dataset, workflows=workflows):
+        tables.append(table)
+    pipeline_result = tables[-1]
+
+    if pipeline_result.result is not None:
+        # Should look something like this:
+        #     type  aggregated_output
+        # 0    A                448
+        # 1    B                 90
+
+        # This is because we first in "derive_workflow" we multiply col1 and col2 together, then in "aggregate_workflow" we sum them up by type
+        print(pipeline_result.result)
+    else:
+        print("No results!")
+
+
+if __name__ == "__main__":
+    asyncio.run(run_python())
+    asyncio.run(run_with_config())
diff --git a/graphrag/examples/multiple_workflows/__init__.py b/graphrag/examples/multiple_workflows/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/examples/multiple_workflows/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/examples/multiple_workflows/pipeline.yml b/graphrag/examples/multiple_workflows/pipeline.yml
new file mode 100644
index 0000000000000000000000000000000000000000..1cbbaba74838c794fef928ce0da0a1a0165f3cf3
--- /dev/null
+++ b/graphrag/examples/multiple_workflows/pipeline.yml
@@ -0,0 +1,4 @@
+workflows:
+  - !include workflows/workflow_1.yml
+  - !include workflows/workflow_2.yml
+  - !include workflows/workflow_3.yml
\ No newline at end of file
diff --git a/graphrag/examples/multiple_workflows/run.py b/graphrag/examples/multiple_workflows/run.py
new file mode 100644
index 0000000000000000000000000000000000000000..a583632789d26873f9f5063030dda952b630b59e
--- /dev/null
+++ b/graphrag/examples/multiple_workflows/run.py
@@ -0,0 +1,43 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import asyncio
+import os
+
+from graphrag.index import run_pipeline_with_config
+from graphrag.index.config import PipelineCSVInputConfig
+from graphrag.index.input import load_input
+
+sample_data_dir = os.path.join(
+    os.path.dirname(os.path.abspath(__file__)), "./../_sample_data/"
+)
+
+
+async def run_with_config():
+    dataset = await load_input(
+        PipelineCSVInputConfig(
+            file_pattern=".*\\.csv$",
+            base_dir=sample_data_dir,
+            source_column="author",
+            text_column="message",
+            timestamp_column="date(yyyyMMddHHmmss)",
+            timestamp_format="%Y%m%d%H%M%S",
+            title_column="message",
+        ),
+    )
+
+    # We're cheap, and this is an example, lets just do 10
+    dataset = dataset.head(2)
+
+    # run the pipeline with the config, and override the dataset with the one we just created
+    # and grab the last result from the pipeline, should be the last workflow that was run (our nodes)
+    pipeline_path = os.path.join(
+        os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml"
+    )
+
+    async for result in run_pipeline_with_config(pipeline_path, dataset=dataset):
+        print(f"Workflow {result.workflow} result\n: ")
+        print(result.result)
+
+
+if __name__ == "__main__":
+    asyncio.run(run_with_config())
diff --git a/graphrag/examples/multiple_workflows/workflows/shared/shared_fill_value.txt b/graphrag/examples/multiple_workflows/workflows/shared/shared_fill_value.txt
new file mode 100644
index 0000000000000000000000000000000000000000..5f790cbca958bee57e9ae7ba8b27fbf2ff06cc29
--- /dev/null
+++ b/graphrag/examples/multiple_workflows/workflows/shared/shared_fill_value.txt
@@ -0,0 +1 @@
+value_from_shared_file
\ No newline at end of file
diff --git a/graphrag/examples/multiple_workflows/workflows/workflow_1.yml b/graphrag/examples/multiple_workflows/workflows/workflow_1.yml
new file mode 100644
index 0000000000000000000000000000000000000000..9ed87e1c439de77aabf493818be2ee187b1f70c1
--- /dev/null
+++ b/graphrag/examples/multiple_workflows/workflows/workflow_1.yml
@@ -0,0 +1,6 @@
+name: workflow_1
+steps:
+  - verb: fill
+    args:
+      to: "col_workflow_1"
+      value: 1
diff --git a/graphrag/examples/multiple_workflows/workflows/workflow_2.yml b/graphrag/examples/multiple_workflows/workflows/workflow_2.yml
new file mode 100644
index 0000000000000000000000000000000000000000..c08147f2cb5447a123088ac721f9886686f7d4bb
--- /dev/null
+++ b/graphrag/examples/multiple_workflows/workflows/workflow_2.yml
@@ -0,0 +1,17 @@
+name: workflow_2
+steps:
+  - verb: fill
+    args:
+      to: "col_workflow_2"
+      value: 2
+    input: 
+
+      # workflow_2 is dependent on workflow_1
+      # so in workflow_2 output, you'll also see the output from workflow_1
+      source: "workflow:workflow_1"
+
+  # Example of pulling in values from a shared file
+  - verb: fill
+    args:
+      to: "col_from_shared_file"
+      value: !include ./shared/shared_fill_value.txt
diff --git a/graphrag/examples/multiple_workflows/workflows/workflow_3.yml b/graphrag/examples/multiple_workflows/workflows/workflow_3.yml
new file mode 100644
index 0000000000000000000000000000000000000000..1a65f2d6b3af303cf97c13bbb61d32eec9de13e3
--- /dev/null
+++ b/graphrag/examples/multiple_workflows/workflows/workflow_3.yml
@@ -0,0 +1,6 @@
+name: workflow_3
+steps:
+  - verb: fill
+    args:
+      to: "col_workflow_3"
+      value: 3
diff --git a/graphrag/examples/single_verb/__init__.py b/graphrag/examples/single_verb/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/examples/single_verb/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/examples/single_verb/input/data.csv b/graphrag/examples/single_verb/input/data.csv
new file mode 100644
index 0000000000000000000000000000000000000000..d1aaf77bfe97c03bdc87bc2360b54f815daa19b6
--- /dev/null
+++ b/graphrag/examples/single_verb/input/data.csv
@@ -0,0 +1,3 @@
+col1,col2
+2,4
+5,10
\ No newline at end of file
diff --git a/graphrag/examples/single_verb/pipeline.yml b/graphrag/examples/single_verb/pipeline.yml
new file mode 100644
index 0000000000000000000000000000000000000000..9e8046124d2a4104883d73fc03d32a505a30cbdd
--- /dev/null
+++ b/graphrag/examples/single_verb/pipeline.yml
@@ -0,0 +1,12 @@
+input:
+  file_type: csv
+  base_dir: ./input
+  file_pattern: .*\.csv$
+workflows:
+  - steps:
+      - verb: derive # https://github.com/microsoft/datashaper/blob/main/python/datashaper/datashaper/verbs/derive.py
+        args:
+          column1: "col1"
+          column2: "col2"
+          to: "col_multiplied"
+          operator: "*"
diff --git a/graphrag/examples/single_verb/run.py b/graphrag/examples/single_verb/run.py
new file mode 100644
index 0000000000000000000000000000000000000000..4c9f522521cdb291a58afdc3c6872405aac2c4bc
--- /dev/null
+++ b/graphrag/examples/single_verb/run.py
@@ -0,0 +1,77 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import asyncio
+import os
+
+import pandas as pd
+
+from graphrag.index import run_pipeline, run_pipeline_with_config
+from graphrag.index.config import PipelineWorkflowReference
+
+# our fake dataset
+dataset = pd.DataFrame([{"col1": 2, "col2": 4}, {"col1": 5, "col2": 10}])
+
+
+async def run_with_config():
+    """Run a pipeline with a config file"""
+    # load pipeline.yml in this directory
+    config_path = os.path.join(
+        os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml"
+    )
+
+    tables = []
+    async for table in run_pipeline_with_config(
+        config_or_path=config_path, dataset=dataset
+    ):
+        tables.append(table)
+    pipeline_result = tables[-1]
+
+    if pipeline_result.result is not None:
+        # Should look something like this, which should be identical to the python example:
+        #    col1  col2  col_multiplied
+        # 0     2     4               8
+        # 1     5    10              50
+        print(pipeline_result.result)
+    else:
+        print("No results!")
+
+
+async def run_python():
+    """Run a pipeline using the python API"""
+    workflows: list[PipelineWorkflowReference] = [
+        PipelineWorkflowReference(
+            steps=[
+                {
+                    # built-in verb
+                    "verb": "derive",  # https://github.com/microsoft/datashaper/blob/main/python/datashaper/datashaper/engine/verbs/derive.py
+                    "args": {
+                        "column1": "col1",  # from above
+                        "column2": "col2",  # from above
+                        "to": "col_multiplied",  # new column name
+                        "operator": "*",  # multiply the two columns
+                    },
+                    # Since we're trying to act on the default input, we don't need explicitly to specify an input
+                }
+            ]
+        ),
+    ]
+
+    # Grab the last result from the pipeline, should be our entity extraction
+    tables = []
+    async for table in run_pipeline(dataset=dataset, workflows=workflows):
+        tables.append(table)
+    pipeline_result = tables[-1]
+
+    if pipeline_result.result is not None:
+        # Should look something like this:
+        #    col1  col2  col_multiplied
+        # 0     2     4               8
+        # 1     5    10              50
+        print(pipeline_result.result)
+    else:
+        print("No results!")
+
+
+if __name__ == "__main__":
+    asyncio.run(run_with_config())
+    asyncio.run(run_python())
diff --git a/graphrag/examples/use_built_in_workflows/__init__.py b/graphrag/examples/use_built_in_workflows/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/examples/use_built_in_workflows/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/examples/use_built_in_workflows/pipeline.yml b/graphrag/examples/use_built_in_workflows/pipeline.yml
new file mode 100644
index 0000000000000000000000000000000000000000..cb1896857f0bfd6dd472ee0d1d666d6e7f64d8f9
--- /dev/null
+++ b/graphrag/examples/use_built_in_workflows/pipeline.yml
@@ -0,0 +1,23 @@
+workflows:
+  - name: "entity_extraction"
+    config:
+      entity_extract:
+          strategy: 
+              type: "nltk"
+
+  - name: "entity_graph"
+    config:
+      cluster_graph: 
+        strategy: 
+          type: "leiden"
+      embed_graph: 
+          strategy: 
+              type: "node2vec"
+              num_walks: 10
+              walk_length: 40
+              window_size: 2
+              iterations: 3
+              random_seed: 597832
+      layout_graph: 
+          strategy: 
+              type: "umap"
\ No newline at end of file
diff --git a/graphrag/examples/use_built_in_workflows/run.py b/graphrag/examples/use_built_in_workflows/run.py
new file mode 100644
index 0000000000000000000000000000000000000000..def3a0a67e54d7b21d1de5b0cf6b3c727dc4ef9c
--- /dev/null
+++ b/graphrag/examples/use_built_in_workflows/run.py
@@ -0,0 +1,117 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import asyncio
+import os
+
+from graphrag.index import run_pipeline, run_pipeline_with_config
+from graphrag.index.config import PipelineCSVInputConfig, PipelineWorkflowReference
+from graphrag.index.input import load_input
+
+sample_data_dir = os.path.join(
+    os.path.dirname(os.path.abspath(__file__)), "../_sample_data/"
+)
+
+# Load our dataset once
+shared_dataset = asyncio.run(
+    load_input(
+        PipelineCSVInputConfig(
+            file_pattern=".*\\.csv$",
+            base_dir=sample_data_dir,
+            source_column="author",
+            text_column="message",
+            timestamp_column="date(yyyyMMddHHmmss)",
+            timestamp_format="%Y%m%d%H%M%S",
+            title_column="message",
+        ),
+    )
+)
+
+
+async def run_with_config():
+    """Run a pipeline with a config file"""
+    # We're cheap, and this is an example, lets just do 10
+    dataset = shared_dataset.head(10)
+
+    # load pipeline.yml in this directory
+    config_path = os.path.join(
+        os.path.dirname(os.path.abspath(__file__)), "./pipeline.yml"
+    )
+
+    # Grab the last result from the pipeline, should be our entity extraction
+    tables = []
+    async for table in run_pipeline_with_config(
+        config_or_path=config_path, dataset=dataset
+    ):
+        tables.append(table)
+    pipeline_result = tables[-1]
+
+    if pipeline_result.result is not None:
+        # The output of this should match the run_python() example
+        first_result = pipeline_result.result.head(1)
+        print(f"level: {first_result['level'][0]}")
+        print(f"embeddings: {first_result['embeddings'][0]}")
+        print(f"entity_graph_positions: {first_result['node_positions'][0]}")
+    else:
+        print("No results!")
+
+
+async def run_python():
+    # We're cheap, and this is an example, lets just do 10
+    dataset = shared_dataset.head(10)
+
+    workflows: list[PipelineWorkflowReference] = [
+        # This workflow reference here is only necessary
+        # because we want to customize the entity_extraction workflow is configured
+        # otherwise, it can be omitted, but you're stuck with the default configuration for entity_extraction
+        PipelineWorkflowReference(
+            name="entity_extraction",
+            config={
+                "entity_extract": {
+                    "strategy": {
+                        "type": "nltk",
+                    }
+                }
+            },
+        ),
+        PipelineWorkflowReference(
+            name="entity_graph",
+            config={
+                "cluster_graph": {"strategy": {"type": "leiden"}},
+                "embed_graph": {
+                    "strategy": {
+                        "type": "node2vec",
+                        "num_walks": 10,
+                        "walk_length": 40,
+                        "window_size": 2,
+                        "iterations": 3,
+                        "random_seed": 597832,
+                    }
+                },
+                "layout_graph": {
+                    "strategy": {
+                        "type": "umap",
+                    },
+                },
+            },
+        ),
+    ]
+
+    # Grab the last result from the pipeline, should be our entity extraction
+    tables = []
+    async for table in run_pipeline(dataset=dataset, workflows=workflows):
+        tables.append(table)
+    pipeline_result = tables[-1]
+
+    # The output will contain entity graphs per hierarchical level, with embeddings per entity
+    if pipeline_result.result is not None:
+        first_result = pipeline_result.result.head(1)
+        print(f"level: {first_result['level'][0]}")
+        print(f"embeddings: {first_result['embeddings'][0]}")
+        print(f"entity_graph_positions: {first_result['node_positions'][0]}")
+    else:
+        print("No results!")
+
+
+if __name__ == "__main__":
+    asyncio.run(run_python())
+    asyncio.run(run_with_config())
diff --git a/graphrag/examples/various_levels_of_configs/__init__.py b/graphrag/examples/various_levels_of_configs/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/examples/various_levels_of_configs/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/examples/various_levels_of_configs/pipelines/workflows_and_inputs.yml b/graphrag/examples/various_levels_of_configs/pipelines/workflows_and_inputs.yml
new file mode 100644
index 0000000000000000000000000000000000000000..0a653831f20b3d13373338f16f3dd8007fac173b
--- /dev/null
+++ b/graphrag/examples/various_levels_of_configs/pipelines/workflows_and_inputs.yml
@@ -0,0 +1,64 @@
+input:
+  file_type: csv
+  base_dir: ../../_sample_data
+  file_pattern: .*\.csv$
+  source_column: "author"
+  text_column: "message"
+  timestamp_column: "date(yyyyMMddHHmmss)"
+  timestamp_format: "%Y%m%d%H%M%S"
+  title_column: "message"
+
+  # Limit to 10, we're not rich
+  post_process:
+    - verb: sample
+      args:
+        size: 10
+      input:
+        source: source
+
+workflows:
+
+  # This workflow reference here is only necessary
+  # because we want to customize the how the entity_extraction workflow is configured
+  # otherwise, it can be omitted, but you're stuck with the default configuration for entity_extraction
+  - name: entity_extraction
+    config:
+      entity_extract:
+        strategy:
+          type: graph_intelligence
+          llm:
+            type: openai_chat
+            api_key: !ENV ${EXAMPLE_OPENAI_API_KEY}
+            model: !ENV ${EXAMPLE_OPENAI_MODEL:gpt-3.5-turbo}
+            max_tokens: !ENV ${EXAMPLE_OPENAI_MAX_TOKENS:2500}
+            temperature: !ENV ${EXAMPLE_OPENAI_TEMPERATURE:0}
+
+  - name: entity_graph
+    config:
+      cluster_graph: 
+        strategy: 
+          type: leiden
+      embed_graph:
+        strategy: 
+          type: node2vec
+          num_walks: 10
+          walk_length: 40
+          window_size: 2
+          iterations: 3
+          random_seed: 597832
+      layout_graph:
+        strategy: 
+          type: umap
+
+  # This is an anonymous workflow, it doesn't have a name
+  - steps:
+
+    # Unpack the nodes from the graph
+    - verb: graph.unpack
+      args:
+        column: positioned_graph
+        type: nodes
+      input:
+
+        # This is saying use the output of the entity_graph workflow as the input to this step
+        source: workflow:entity_graph
\ No newline at end of file
diff --git a/graphrag/examples/various_levels_of_configs/pipelines/workflows_only.yml b/graphrag/examples/various_levels_of_configs/pipelines/workflows_only.yml
new file mode 100644
index 0000000000000000000000000000000000000000..2c3c43de6e25f6d0a7f513e979ac6c636cfc1a33
--- /dev/null
+++ b/graphrag/examples/various_levels_of_configs/pipelines/workflows_only.yml
@@ -0,0 +1,46 @@
+workflows:
+
+  # This workflow reference here is only necessary
+  # because we want to customize the how the entity_extraction workflow is configured
+  # otherwise, it can be omitted, but you're stuck with the default configuration for entity_extraction
+  - name: entity_extraction
+    config:
+      entity_extract:
+        strategy:
+          type: graph_intelligence
+          llm:
+            type: openai_chat
+            api_key: !ENV ${EXAMPLE_OPENAI_API_KEY}
+            model: !ENV ${EXAMPLE_OPENAI_MODEL:gpt-3.5-turbo}
+            max_tokens: !ENV ${EXAMPLE_OPENAI_MAX_TOKENS:2500}
+            temperature: !ENV ${EXAMPLE_OPENAI_TEMPERATURE:0}
+
+  - name: entity_graph
+    config:
+      cluster_graph: 
+        strategy: 
+          type: leiden
+      embed_graph:
+        strategy: 
+          type: node2vec
+          num_walks: 10
+          walk_length: 40
+          window_size: 2
+          iterations: 3
+          random_seed: 597832
+      layout_graph:
+        strategy: 
+          type: umap
+
+  # This is an anonymous workflow, it doesn't have a name
+  - steps:
+
+    # Unpack the nodes from the graph
+    - verb: graph.unpack
+      args:
+        column: positioned_graph
+        type: nodes
+      input:
+
+        # This is saying use the output of the entity_graph workflow as the input to this step
+        source: workflow:entity_graph
\ No newline at end of file
diff --git a/graphrag/examples/various_levels_of_configs/workflows_and_inputs.py b/graphrag/examples/various_levels_of_configs/workflows_and_inputs.py
new file mode 100644
index 0000000000000000000000000000000000000000..87c7c2f8d47e7fe465e3413c61f5803afda27cb6
--- /dev/null
+++ b/graphrag/examples/various_levels_of_configs/workflows_and_inputs.py
@@ -0,0 +1,40 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import asyncio
+import os
+
+from graphrag.index import run_pipeline_with_config
+
+
+async def main():
+    if (
+        "EXAMPLE_OPENAI_API_KEY" not in os.environ
+        and "OPENAI_API_KEY" not in os.environ
+    ):
+        msg = "Please set EXAMPLE_OPENAI_API_KEY or OPENAI_API_KEY environment variable to run this example"
+        raise Exception(msg)
+
+    # run the pipeline with the config, and override the dataset with the one we just created
+    # and grab the last result from the pipeline, should be our entity extraction
+    pipeline_path = os.path.join(
+        os.path.dirname(os.path.abspath(__file__)),
+        "./pipelines/workflows_and_inputs.yml",
+    )
+
+    # run the pipeline with the config, and override the dataset with the one we just created
+    # and grab the last result from the pipeline, should be the last workflow that was run (our nodes)
+    tables = []
+    async for table in run_pipeline_with_config(pipeline_path):
+        tables.append(table)
+    pipeline_result = tables[-1]
+
+    # The output will contain a list of positioned nodes
+    if pipeline_result.result is not None:
+        top_nodes = pipeline_result.result.head(10)
+        print("pipeline result", top_nodes)
+    else:
+        print("No results!")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/graphrag/examples/various_levels_of_configs/workflows_and_inputs_with_custom_handlers.py b/graphrag/examples/various_levels_of_configs/workflows_and_inputs_with_custom_handlers.py
new file mode 100644
index 0000000000000000000000000000000000000000..880c72ad9191d067af4021933c40936200ac2c83
--- /dev/null
+++ b/graphrag/examples/various_levels_of_configs/workflows_and_inputs_with_custom_handlers.py
@@ -0,0 +1,131 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import asyncio
+import os
+from typing import Any
+
+from datashaper import NoopWorkflowCallbacks, Progress
+
+from graphrag.index import run_pipeline_with_config
+from graphrag.index.cache import InMemoryCache, PipelineCache
+from graphrag.index.storage import MemoryPipelineStorage
+
+
+async def main():
+    if (
+        "EXAMPLE_OPENAI_API_KEY" not in os.environ
+        and "OPENAI_API_KEY" not in os.environ
+    ):
+        msg = "Please set EXAMPLE_OPENAI_API_KEY or OPENAI_API_KEY environment variable to run this example"
+        raise Exception(msg)
+
+    # run the pipeline with the config, and override the dataset with the one we just created
+    # and grab the last result from the pipeline, should be our entity extraction
+    pipeline_path = os.path.join(
+        os.path.dirname(os.path.abspath(__file__)),
+        "./pipelines/workflows_and_inputs.yml",
+    )
+
+    # Create our custom storage
+    custom_storage = ExampleStorage()
+
+    # Create our custom reporter
+    custom_reporter = ExampleReporter()
+
+    # Create our custom cache
+    custom_cache = ExampleCache()
+
+    # run the pipeline with the config, and override the dataset with the one we just created
+    # and grab the last result from the pipeline, should be the last workflow that was run (our nodes)
+    pipeline_result = []
+    async for result in run_pipeline_with_config(
+        pipeline_path,
+        storage=custom_storage,
+        callbacks=custom_reporter,
+        cache=custom_cache,
+    ):
+        pipeline_result.append(result)
+    pipeline_result = pipeline_result[-1]
+
+    # The output will contain a list of positioned nodes
+    if pipeline_result.result is not None:
+        top_nodes = pipeline_result.result.head(10)
+        print("pipeline result", top_nodes)
+    else:
+        print("No results!")
+
+
+class ExampleStorage(MemoryPipelineStorage):
+    """Example of a custom storage handler"""
+
+    async def get(
+        self, key: str, as_bytes: bool | None = None, encoding: str | None = None
+    ) -> Any:
+        print(f"ExampleStorage.get {key}")
+        return await super().get(key, as_bytes)
+
+    async def set(
+        self, key: str, value: str | bytes | None, encoding: str | None = None
+    ) -> None:
+        print(f"ExampleStorage.set {key}")
+        return await super().set(key, value)
+
+    async def has(self, key: str) -> bool:
+        print(f"ExampleStorage.has {key}")
+        return await super().has(key)
+
+    async def delete(self, key: str) -> None:
+        print(f"ExampleStorage.delete {key}")
+        return await super().delete(key)
+
+    async def clear(self) -> None:
+        print("ExampleStorage.clear")
+        return await super().clear()
+
+
+class ExampleCache(InMemoryCache):
+    """Example of a custom cache handler"""
+
+    async def get(self, key: str) -> Any:
+        print(f"ExampleCache.get {key}")
+        return await super().get(key)
+
+    async def set(self, key: str, value: Any, debug_data: dict | None = None) -> None:
+        print(f"ExampleCache.set {key}")
+        return await super().set(key, value, debug_data)
+
+    async def has(self, key: str) -> bool:
+        print(f"ExampleCache.has {key}")
+        return await super().has(key)
+
+    async def delete(self, key: str) -> None:
+        print(f"ExampleCache.delete {key}")
+        return await super().delete(key)
+
+    async def clear(self) -> None:
+        print("ExampleCache.clear")
+        return await super().clear()
+
+    def child(self, name: str) -> PipelineCache:
+        print(f"ExampleCache.child {name}")
+        return ExampleCache(name)
+
+
+class ExampleReporter(NoopWorkflowCallbacks):
+    """Example of a custom reporter.  This will print out all of the status updates from the pipeline."""
+
+    def progress(self, progress: Progress):
+        print("ExampleReporter.progress: ", progress)
+
+    def error(self, message: str, details: dict[str, Any] | None = None):
+        print("ExampleReporter.error: ", message)
+
+    def warning(self, message: str, details: dict[str, Any] | None = None):
+        print("ExampleReporter.warning: ", message)
+
+    def log(self, message: str, details: dict[str, Any] | None = None):
+        print("ExampleReporter.log: ", message)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/graphrag/examples/various_levels_of_configs/workflows_only.py b/graphrag/examples/various_levels_of_configs/workflows_only.py
new file mode 100644
index 0000000000000000000000000000000000000000..192297eb8f369b965dc00bd3d11555dec67b1cf6
--- /dev/null
+++ b/graphrag/examples/various_levels_of_configs/workflows_only.py
@@ -0,0 +1,59 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import asyncio
+import os
+
+from graphrag.index import run_pipeline_with_config
+from graphrag.index.config import PipelineCSVInputConfig
+from graphrag.index.input import load_input
+
+sample_data_dir = os.path.join(
+    os.path.dirname(os.path.abspath(__file__)), "../_sample_data/"
+)
+
+
+async def main():
+    if (
+        "EXAMPLE_OPENAI_API_KEY" not in os.environ
+        and "OPENAI_API_KEY" not in os.environ
+    ):
+        msg = "Please set EXAMPLE_OPENAI_API_KEY or OPENAI_API_KEY environment variable to run this example"
+        raise Exception(msg)
+
+    dataset = await load_input(
+        PipelineCSVInputConfig(
+            file_pattern=".*\\.csv$",
+            base_dir=sample_data_dir,
+            source_column="author",
+            text_column="message",
+            timestamp_column="date(yyyyMMddHHmmss)",
+            timestamp_format="%Y%m%d%H%M%S",
+            title_column="message",
+        ),
+    )
+
+    # We're cheap, and this is an example, lets just do 10
+    dataset = dataset.head(10)
+
+    # run the pipeline with the config, and override the dataset with the one we just created
+    # and grab the last result from the pipeline, should be the last workflow that was run (our nodes)
+    pipeline_path = os.path.join(
+        os.path.dirname(os.path.abspath(__file__)), "./pipelines/workflows_only.yml"
+    )
+    tables = []
+    async for table in run_pipeline_with_config(pipeline_path, dataset=dataset):
+        tables.append(table)
+    pipeline_result = tables[-1]
+
+    # The output will contain a list of positioned nodes
+    if pipeline_result.result is not None:
+        top_nodes = pipeline_result.result.head(10)
+        print(
+            "pipeline result\ncols: ", pipeline_result.result.columns, "\n", top_nodes
+        )
+    else:
+        print("No results!")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())
diff --git a/graphrag/examples_notebooks/community/yfiles-jupyter-graphs/graph-visualization.ipynb b/graphrag/examples_notebooks/community/yfiles-jupyter-graphs/graph-visualization.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..bb2e93d8f0ad5835ef2c00fc27b80d863c6c19ed
--- /dev/null
+++ b/graphrag/examples_notebooks/community/yfiles-jupyter-graphs/graph-visualization.ipynb
@@ -0,0 +1,529 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Visualizing the knowledge graph with `yfiles-jupyter-graphs`\n",
+    "\n",
+    "This notebook is a partial copy of [local_search.ipynb](../../local_search.ipynb) that shows how to use `yfiles-jupyter-graphs` to add interactive graph visualizations of the parquet files  and how to visualize the result context of `graphrag` queries (see at the end of this notebook)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Copyright (c) 2024 Microsoft Corporation.\n",
+    "# Licensed under the MIT License."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "import pandas as pd\n",
+    "import tiktoken\n",
+    "\n",
+    "from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey\n",
+    "from graphrag.query.indexer_adapters import (\n",
+    "    read_indexer_covariates,\n",
+    "    read_indexer_entities,\n",
+    "    read_indexer_relationships,\n",
+    "    read_indexer_reports,\n",
+    "    read_indexer_text_units,\n",
+    ")\n",
+    "from graphrag.query.input.loaders.dfs import (\n",
+    "    store_entity_semantic_embeddings,\n",
+    ")\n",
+    "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n",
+    "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n",
+    "from graphrag.query.llm.oai.typing import OpenaiApiType\n",
+    "from graphrag.query.structured_search.local_search.mixed_context import (\n",
+    "    LocalSearchMixedContext,\n",
+    ")\n",
+    "from graphrag.query.structured_search.local_search.search import LocalSearch\n",
+    "from graphrag.vector_stores.lancedb import LanceDBVectorStore"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Local Search Example\n",
+    "\n",
+    "Local search method generates answers by combining relevant data from the AI-extracted knowledge-graph with text chunks of the raw documents. This method is suitable for questions that require an understanding of specific entities mentioned in the documents (e.g. What are the healing properties of chamomile?)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Load text units and graph data tables as context for local search\n",
+    "\n",
+    "- In this test we first load indexing outputs from parquet files to dataframes, then convert these dataframes into collections of data objects aligning with the knowledge model."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Load tables to dataframes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "INPUT_DIR = \"../../inputs/operation dulce\"\n",
+    "LANCEDB_URI = f\"{INPUT_DIR}/lancedb\"\n",
+    "\n",
+    "COMMUNITY_REPORT_TABLE = \"create_final_community_reports\"\n",
+    "ENTITY_TABLE = \"create_final_nodes\"\n",
+    "ENTITY_EMBEDDING_TABLE = \"create_final_entities\"\n",
+    "RELATIONSHIP_TABLE = \"create_final_relationships\"\n",
+    "COVARIATE_TABLE = \"create_final_covariates\"\n",
+    "TEXT_UNIT_TABLE = \"create_final_text_units\"\n",
+    "COMMUNITY_LEVEL = 2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Read entities"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# read nodes table to get community and degree data\n",
+    "entity_df = pd.read_parquet(f\"{INPUT_DIR}/{ENTITY_TABLE}.parquet\")\n",
+    "entity_embedding_df = pd.read_parquet(f\"{INPUT_DIR}/{ENTITY_EMBEDDING_TABLE}.parquet\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Read relationships"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "relationship_df = pd.read_parquet(f\"{INPUT_DIR}/{RELATIONSHIP_TABLE}.parquet\")\n",
+    "relationships = read_indexer_relationships(relationship_df)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Visualizing nodes and relationships with `yfiles-jupyter-graphs`\n",
+    "\n",
+    "`yfiles-jupyter-graphs` is a graph visualization extension that provides interactive and customizable visualizations for structured node and relationship data.\n",
+    "\n",
+    "In this case, we use it to provide an interactive visualization for the knowledge graph of the [local_search.ipynb](../../local_search.ipynb) sample by passing node and relationship lists converted from the given parquet files. The requirements for the input data is an `id` attribute for the nodes and `start`/`end` properties for the relationships that correspond to the node ids. Additional attributes can be added in the `properties` of each node/relationship dict:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%pip install yfiles_jupyter_graphs --quiet\n",
+    "from yfiles_jupyter_graphs import GraphWidget\n",
+    "\n",
+    "\n",
+    "# converts the entities dataframe to a list of dicts for yfiles-jupyter-graphs\n",
+    "def convert_entities_to_dicts(df):\n",
+    "    \"\"\"Convert the entities dataframe to a list of dicts for yfiles-jupyter-graphs.\"\"\"\n",
+    "    nodes_dict = {}\n",
+    "    for _, row in df.iterrows():\n",
+    "        # Create a dictionary for each row and collect unique nodes\n",
+    "        node_id = row[\"title\"]\n",
+    "        if node_id not in nodes_dict:\n",
+    "            nodes_dict[node_id] = {\n",
+    "                \"id\": node_id,\n",
+    "                \"properties\": row.to_dict(),\n",
+    "            }\n",
+    "    return list(nodes_dict.values())\n",
+    "\n",
+    "\n",
+    "# converts the relationships dataframe to a list of dicts for yfiles-jupyter-graphs\n",
+    "def convert_relationships_to_dicts(df):\n",
+    "    \"\"\"Convert the relationships dataframe to a list of dicts for yfiles-jupyter-graphs.\"\"\"\n",
+    "    relationships = []\n",
+    "    for _, row in df.iterrows():\n",
+    "        # Create a dictionary for each row\n",
+    "        relationships.append({\n",
+    "            \"start\": row[\"source\"],\n",
+    "            \"end\": row[\"target\"],\n",
+    "            \"properties\": row.to_dict(),\n",
+    "        })\n",
+    "    return relationships\n",
+    "\n",
+    "\n",
+    "w = GraphWidget()\n",
+    "w.directed = True\n",
+    "w.nodes = convert_entities_to_dicts(entity_df)\n",
+    "w.edges = convert_relationships_to_dicts(relationship_df)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Configure data-driven visualization\n",
+    "\n",
+    "The additional properties can be used to configure the visualization for different use cases."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# show title on the node\n",
+    "w.node_label_mapping = \"title\"\n",
+    "\n",
+    "\n",
+    "# map community to a color\n",
+    "def community_to_color(community):\n",
+    "    \"\"\"Map a community to a color.\"\"\"\n",
+    "    colors = [\n",
+    "        \"crimson\",\n",
+    "        \"darkorange\",\n",
+    "        \"indigo\",\n",
+    "        \"cornflowerblue\",\n",
+    "        \"cyan\",\n",
+    "        \"teal\",\n",
+    "        \"green\",\n",
+    "    ]\n",
+    "    return (\n",
+    "        colors[int(community) % len(colors)] if community is not None else \"lightgray\"\n",
+    "    )\n",
+    "\n",
+    "\n",
+    "def edge_to_source_community(edge):\n",
+    "    \"\"\"Get the community of the source node of an edge.\"\"\"\n",
+    "    source_node = next(\n",
+    "        (entry for entry in w.nodes if entry[\"properties\"][\"title\"] == edge[\"start\"]),\n",
+    "        None,\n",
+    "    )\n",
+    "    source_node_community = source_node[\"properties\"][\"community\"]\n",
+    "    return source_node_community if source_node_community is not None else None\n",
+    "\n",
+    "\n",
+    "w.node_color_mapping = lambda node: community_to_color(node[\"properties\"][\"community\"])\n",
+    "w.edge_color_mapping = lambda edge: community_to_color(edge_to_source_community(edge))\n",
+    "# map size data to a reasonable factor\n",
+    "w.node_scale_factor_mapping = lambda node: 0.5 + node[\"properties\"][\"size\"] * 1.5 / 20\n",
+    "# use weight for edge thickness\n",
+    "w.edge_thickness_factor_mapping = \"weight\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Automatic layouts\n",
+    "\n",
+    "The widget provides different automatic layouts that serve different purposes: `Circular`, `Hierarchic`, `Organic (interactiv or static)`, `Orthogonal`, `Radial`, `Tree`, `Geo-spatial`.\n",
+    "\n",
+    "For the knowledge graph, this sample uses the `Circular` layout, though `Hierarchic` or `Organic` are also suitable choices."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Use the circular layout for this visualization. For larger graphs, the default organic layout is often preferrable.\n",
+    "w.circular_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Display the graph"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "display(w)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Visualizing the result context of `graphrag` queries\n",
+    "\n",
+    "The result context of `graphrag` queries allow to inspect the context graph of the request. This data can similarly be visualized as graph with `yfiles-jupyter-graphs`.\n",
+    "\n",
+    "## Making the request\n",
+    "\n",
+    "The following cell recreates the sample queries from [local_search.ipynb](../../local_search.ipynb)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# setup (see also ../../local_search.ipynb)\n",
+    "entities = read_indexer_entities(entity_df, entity_embedding_df, COMMUNITY_LEVEL)\n",
+    "\n",
+    "description_embedding_store = LanceDBVectorStore(\n",
+    "    collection_name=\"entity_description_embeddings\",\n",
+    ")\n",
+    "description_embedding_store.connect(db_uri=LANCEDB_URI)\n",
+    "entity_description_embeddings = store_entity_semantic_embeddings(\n",
+    "    entities=entities, vectorstore=description_embedding_store\n",
+    ")\n",
+    "covariate_df = pd.read_parquet(f\"{INPUT_DIR}/{COVARIATE_TABLE}.parquet\")\n",
+    "claims = read_indexer_covariates(covariate_df)\n",
+    "covariates = {\"claims\": claims}\n",
+    "report_df = pd.read_parquet(f\"{INPUT_DIR}/{COMMUNITY_REPORT_TABLE}.parquet\")\n",
+    "reports = read_indexer_reports(report_df, entity_df, COMMUNITY_LEVEL)\n",
+    "text_unit_df = pd.read_parquet(f\"{INPUT_DIR}/{TEXT_UNIT_TABLE}.parquet\")\n",
+    "text_units = read_indexer_text_units(text_unit_df)\n",
+    "\n",
+    "api_key = os.environ[\"GRAPHRAG_API_KEY\"]\n",
+    "llm_model = os.environ[\"GRAPHRAG_LLM_MODEL\"]\n",
+    "embedding_model = os.environ[\"GRAPHRAG_EMBEDDING_MODEL\"]\n",
+    "\n",
+    "llm = ChatOpenAI(\n",
+    "    api_key=api_key,\n",
+    "    model=llm_model,\n",
+    "    api_type=OpenaiApiType.OpenAI,  # OpenaiApiType.OpenAI or OpenaiApiType.AzureOpenAI\n",
+    "    max_retries=20,\n",
+    ")\n",
+    "\n",
+    "token_encoder = tiktoken.get_encoding(\"cl100k_base\")\n",
+    "\n",
+    "text_embedder = OpenAIEmbedding(\n",
+    "    api_key=api_key,\n",
+    "    api_base=None,\n",
+    "    api_type=OpenaiApiType.OpenAI,\n",
+    "    model=embedding_model,\n",
+    "    deployment_name=embedding_model,\n",
+    "    max_retries=20,\n",
+    ")\n",
+    "\n",
+    "context_builder = LocalSearchMixedContext(\n",
+    "    community_reports=reports,\n",
+    "    text_units=text_units,\n",
+    "    entities=entities,\n",
+    "    relationships=relationships,\n",
+    "    covariates=covariates,\n",
+    "    entity_text_embeddings=description_embedding_store,\n",
+    "    embedding_vectorstore_key=EntityVectorStoreKey.ID,  # if the vectorstore uses entity title as ids, set this to EntityVectorStoreKey.TITLE\n",
+    "    text_embedder=text_embedder,\n",
+    "    token_encoder=token_encoder,\n",
+    ")\n",
+    "\n",
+    "local_context_params = {\n",
+    "    \"text_unit_prop\": 0.5,\n",
+    "    \"community_prop\": 0.1,\n",
+    "    \"conversation_history_max_turns\": 5,\n",
+    "    \"conversation_history_user_turns_only\": True,\n",
+    "    \"top_k_mapped_entities\": 10,\n",
+    "    \"top_k_relationships\": 10,\n",
+    "    \"include_entity_rank\": True,\n",
+    "    \"include_relationship_weight\": True,\n",
+    "    \"include_community_rank\": False,\n",
+    "    \"return_candidate_context\": False,\n",
+    "    \"embedding_vectorstore_key\": EntityVectorStoreKey.ID,  # set this to EntityVectorStoreKey.TITLE if the vectorstore uses entity title as ids\n",
+    "    \"max_tokens\": 12_000,  # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000)\n",
+    "}\n",
+    "\n",
+    "llm_params = {\n",
+    "    \"max_tokens\": 2_000,  # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 1000=1500)\n",
+    "    \"temperature\": 0.0,\n",
+    "}\n",
+    "\n",
+    "search_engine = LocalSearch(\n",
+    "    llm=llm,\n",
+    "    context_builder=context_builder,\n",
+    "    token_encoder=token_encoder,\n",
+    "    llm_params=llm_params,\n",
+    "    context_builder_params=local_context_params,\n",
+    "    response_type=\"multiple paragraphs\",  # free form text describing the response type and format, can be anything, e.g. prioritized list, single paragraph, multiple paragraphs, multiple-page report\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Run local search on sample queries"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "result = await search_engine.asearch(\"Tell me about Agent Mercer\")\n",
+    "print(result.response)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "question = \"Tell me about Dr. Jordan Hayes\"\n",
+    "result = await search_engine.asearch(question)\n",
+    "print(result.response)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Inspecting the context data used to generate the response"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "result.context_data[\"entities\"].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "result.context_data[\"relationships\"].head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Visualizing the result context as graph"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\"\"\"\n",
+    "Helper function to visualize the result context with `yfiles-jupyter-graphs`.\n",
+    "\n",
+    "The dataframes are converted into supported nodes and relationships lists and then passed to yfiles-jupyter-graphs.\n",
+    "Additionally, some values are mapped to visualization properties.\n",
+    "\"\"\"\n",
+    "\n",
+    "\n",
+    "def show_graph(result):\n",
+    "    \"\"\"Visualize the result context with yfiles-jupyter-graphs.\"\"\"\n",
+    "    from yfiles_jupyter_graphs import GraphWidget\n",
+    "\n",
+    "    if (\n",
+    "        \"entities\" not in result.context_data\n",
+    "        or \"relationships\" not in result.context_data\n",
+    "    ):\n",
+    "        msg = \"The passed results do not contain 'entities' or 'relationships'\"\n",
+    "        raise ValueError(msg)\n",
+    "\n",
+    "    # converts the entities dataframe to a list of dicts for yfiles-jupyter-graphs\n",
+    "    def convert_entities_to_dicts(df):\n",
+    "        \"\"\"Convert the entities dataframe to a list of dicts for yfiles-jupyter-graphs.\"\"\"\n",
+    "        nodes_dict = {}\n",
+    "        for _, row in df.iterrows():\n",
+    "            # Create a dictionary for each row and collect unique nodes\n",
+    "            node_id = row[\"entity\"]\n",
+    "            if node_id not in nodes_dict:\n",
+    "                nodes_dict[node_id] = {\n",
+    "                    \"id\": node_id,\n",
+    "                    \"properties\": row.to_dict(),\n",
+    "                }\n",
+    "        return list(nodes_dict.values())\n",
+    "\n",
+    "    # converts the relationships dataframe to a list of dicts for yfiles-jupyter-graphs\n",
+    "    def convert_relationships_to_dicts(df):\n",
+    "        \"\"\"Convert the relationships dataframe to a list of dicts for yfiles-jupyter-graphs.\"\"\"\n",
+    "        relationships = []\n",
+    "        for _, row in df.iterrows():\n",
+    "            # Create a dictionary for each row\n",
+    "            relationships.append({\n",
+    "                \"start\": row[\"source\"],\n",
+    "                \"end\": row[\"target\"],\n",
+    "                \"properties\": row.to_dict(),\n",
+    "            })\n",
+    "        return relationships\n",
+    "\n",
+    "    w = GraphWidget()\n",
+    "    # use the converted data to visualize the graph\n",
+    "    w.nodes = convert_entities_to_dicts(result.context_data[\"entities\"])\n",
+    "    w.edges = convert_relationships_to_dicts(result.context_data[\"relationships\"])\n",
+    "    w.directed = True\n",
+    "    # show title on the node\n",
+    "    w.node_label_mapping = \"entity\"\n",
+    "    # use weight for edge thickness\n",
+    "    w.edge_thickness_factor_mapping = \"weight\"\n",
+    "    display(w)\n",
+    "\n",
+    "\n",
+    "show_graph(result)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/graphrag/examples_notebooks/global_search.ipynb b/graphrag/examples_notebooks/global_search.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..fdde2c706cf787c16a49b43a424c5ad32dd01c2b
--- /dev/null
+++ b/graphrag/examples_notebooks/global_search.ipynb
@@ -0,0 +1,264 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'\\nCopyright (c) Microsoft Corporation.\\n'"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Copyright (c) 2024 Microsoft Corporation.\n",
+    "# Licensed under the MIT License."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "import pandas as pd\n",
+    "import tiktoken\n",
+    "\n",
+    "from graphrag.query.indexer_adapters import read_indexer_entities, read_indexer_reports\n",
+    "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n",
+    "from graphrag.query.llm.oai.typing import OpenaiApiType\n",
+    "from graphrag.query.structured_search.global_search.community_context import (\n",
+    "    GlobalCommunityContext,\n",
+    ")\n",
+    "from graphrag.query.structured_search.global_search.search import GlobalSearch"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Global Search example\n",
+    "\n",
+    "Global search method generates answers by searching over all AI-generated community reports in a map-reduce fashion. This is a resource-intensive method, but often gives good responses for questions that require an understanding of the dataset as a whole (e.g. What are the most significant values of the herbs mentioned in this notebook?)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### LLM setup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "api_key = os.environ[\"GRAPHRAG_API_KEY\"]\n",
+    "llm_model = os.environ[\"GRAPHRAG_LLM_MODEL\"]\n",
+    "\n",
+    "llm = ChatOpenAI(\n",
+    "    api_key=api_key,\n",
+    "    model=llm_model,\n",
+    "    api_type=OpenaiApiType.OpenAI,  # OpenaiApiType.OpenAI or OpenaiApiType.AzureOpenAI\n",
+    "    max_retries=20,\n",
+    ")\n",
+    "\n",
+    "token_encoder = tiktoken.get_encoding(\"cl100k_base\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Load community reports as context for global search\n",
+    "\n",
+    "- Load all community reports in the `create_final_community_reports` table from the ire-indexing engine, to be used as context data for global search.\n",
+    "- Load entities from the `create_final_nodes` and `create_final_entities` tables from the ire-indexing engine, to be used for calculating community weights for context ranking. Note that this is optional (if no entities are provided, we will not calculate community weights and only use the `rank` attribute in the community reports table for context ranking)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# parquet files generated from indexing pipeline\n",
+    "INPUT_DIR = \"./inputs/operation dulce\"\n",
+    "COMMUNITY_REPORT_TABLE = \"create_final_community_reports\"\n",
+    "ENTITY_TABLE = \"create_final_nodes\"\n",
+    "ENTITY_EMBEDDING_TABLE = \"create_final_entities\"\n",
+    "\n",
+    "# community level in the Leiden community hierarchy from which we will load the community reports\n",
+    "# higher value means we use reports from more fine-grained communities (at the cost of higher computation cost)\n",
+    "COMMUNITY_LEVEL = 2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "entity_df = pd.read_parquet(f\"{INPUT_DIR}/{ENTITY_TABLE}.parquet\")\n",
+    "report_df = pd.read_parquet(f\"{INPUT_DIR}/{COMMUNITY_REPORT_TABLE}.parquet\")\n",
+    "entity_embedding_df = pd.read_parquet(f\"{INPUT_DIR}/{ENTITY_EMBEDDING_TABLE}.parquet\")\n",
+    "\n",
+    "reports = read_indexer_reports(report_df, entity_df, COMMUNITY_LEVEL)\n",
+    "entities = read_indexer_entities(entity_df, entity_embedding_df, COMMUNITY_LEVEL)\n",
+    "print(f\"Report records: {len(report_df)}\")\n",
+    "report_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Build global context based on community reports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "context_builder = GlobalCommunityContext(\n",
+    "    community_reports=reports,\n",
+    "    entities=entities,  # default to None if you don't want to use community weights for ranking\n",
+    "    token_encoder=token_encoder,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Perform global search"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "context_builder_params = {\n",
+    "    \"use_community_summary\": False,  # False means using full community reports. True means using community short summaries.\n",
+    "    \"shuffle_data\": True,\n",
+    "    \"include_community_rank\": True,\n",
+    "    \"min_community_rank\": 0,\n",
+    "    \"community_rank_name\": \"rank\",\n",
+    "    \"include_community_weight\": True,\n",
+    "    \"community_weight_name\": \"occurrence weight\",\n",
+    "    \"normalize_community_weight\": True,\n",
+    "    \"max_tokens\": 12_000,  # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000)\n",
+    "    \"context_name\": \"Reports\",\n",
+    "}\n",
+    "\n",
+    "map_llm_params = {\n",
+    "    \"max_tokens\": 1000,\n",
+    "    \"temperature\": 0.0,\n",
+    "    \"response_format\": {\"type\": \"json_object\"},\n",
+    "}\n",
+    "\n",
+    "reduce_llm_params = {\n",
+    "    \"max_tokens\": 2000,  # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 1000-1500)\n",
+    "    \"temperature\": 0.0,\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "search_engine = GlobalSearch(\n",
+    "    llm=llm,\n",
+    "    context_builder=context_builder,\n",
+    "    token_encoder=token_encoder,\n",
+    "    max_data_tokens=12_000,  # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000)\n",
+    "    map_llm_params=map_llm_params,\n",
+    "    reduce_llm_params=reduce_llm_params,\n",
+    "    allow_general_knowledge=False,  # set this to True will add instruction to encourage the LLM to incorporate general knowledge in the response, which may increase hallucinations, but could be useful in some use cases.\n",
+    "    json_mode=True,  # set this to False if your LLM model does not support JSON mode.\n",
+    "    context_builder_params=context_builder_params,\n",
+    "    concurrent_coroutines=32,\n",
+    "    response_type=\"multiple paragraphs\",  # free form text describing the response type and format, can be anything, e.g. prioritized list, single paragraph, multiple paragraphs, multiple-page report\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "result = await search_engine.asearch(\n",
+    "    \"What is the major conflict in this story and who are the protagonist and antagonist?\"\n",
+    ")\n",
+    "\n",
+    "print(result.response)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# inspect the data used to build the context for the LLM responses\n",
+    "result.context_data[\"reports\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "LLM calls: 13. LLM tokens: 184660\n"
+     ]
+    }
+   ],
+   "source": [
+    "# inspect number of LLM calls and tokens\n",
+    "print(f\"LLM calls: {result.llm_calls}. LLM tokens: {result.prompt_tokens}\")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/graphrag/examples_notebooks/inputs/operation dulce/ABOUT.md b/graphrag/examples_notebooks/inputs/operation dulce/ABOUT.md
new file mode 100644
index 0000000000000000000000000000000000000000..cac4ea1182178e0929c7387c58ac707c8dc1964a
--- /dev/null
+++ b/graphrag/examples_notebooks/inputs/operation dulce/ABOUT.md	
@@ -0,0 +1,3 @@
+# About
+
+This document (Operation Dulce) is an AI-generated science fiction novella, included here for the purposes of providing a starting point for notebook experimentation.
diff --git a/graphrag/examples_notebooks/inputs/operation dulce/Operation Dulce v2 1 1.md b/graphrag/examples_notebooks/inputs/operation dulce/Operation Dulce v2 1 1.md
new file mode 100644
index 0000000000000000000000000000000000000000..95c9e3cd3af76b570f0550d69b2025d7cd6fafbb
--- /dev/null
+++ b/graphrag/examples_notebooks/inputs/operation dulce/Operation Dulce v2 1 1.md	
@@ -0,0 +1,970 @@
+# Operation: Dulce
+
+## Chapter 1
+
+The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce.
+
+“I assume, Agent Mercer, you’re not having second thoughts?” It was Taylor Cruz’s voice, laced with an edge that demanded attention.
+
+Alex flickered a strained smile, still thumbing his folder's corner. "Of course not, Agent Cruz. Just trying to soak in all the details." The compliance in his tone was unsettling, even to himself.
+
+Jordan Hayes, perched on the opposite side of the table, narrowed their eyes but offered a supportive nod. "Details are imperative. We’ll need your clear-headedness down there, Mercer."
+
+A comfortable silence, the kind that threaded between veterans of shared secrets, lingered briefly before Sam Rivera, never one to submit to quiet, added, "I’ve combed through the last transmission logs. If anyone can make sense of the anomalies, it’s going to be the two of you."
+
+Taylor snorted dismissively. “Focus, people. We have protocols for a reason. Speculation is counter-productive.” The words 'counter-productive' seemed to hang in the air, a tacit reprimand directed at Alex.
+
+Feeling the weight of his compliance conflicting with his natural inclination to leave no stone unturned, Alex straightened in his seat. "I agree, Agent Cruz. Protocol is paramount," he said, meeting Taylor's steely gaze. It was an affirmation, but beneath it lay layers of unspoken complexities that would undoubtedly unwind with time.
+
+Alex's submission, though seemingly complete, didn't escape Jordan, who tilted their head ever so slightly, their eyes revealing a spark of understanding. They knew well enough the struggle of aligning personal convictions with overarching missions. As everyone began to collect their binders and prepare for departure, a quiet resolve took form within Alex, galvanized by the groundwork laid by their interactions. He may have spoken in compliance, but his determination had merely taken a subtler form — one that wouldn't surrender so easily to the forthcoming shadows.
+
+\*
+
+Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive."
+
+A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic."
+
+Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. 
+
+Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field.
+
+The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._
+
+As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come.
+
+\*
+
+A deserted corridor inside the facility stretched before Taylor Cruz, each footstep rhythmic and precise. Cruz, ambitious and meticulous, eyed the troops passing by with a sardonic tilt of the lips. Obedience—it was as much a tool as any weapon in the arsenal, and Cruz wielded it masterfully. To them, it was another step toward unfettered power within the dark bowels of the military complex.
+
+Inside a secluded equipment bay, Cruz began checking over gear with mechanical efficiency. They traced fingers over the sleek surface of an encrypted radio transmitter. "If protocols are maintained," said Cruz aloud, rehearsing the speech for their subordinates, "not only will we re-establish a line of communication with Dulce, but we shall also illuminate the darkest secrets it conceals."
+
+Agent Hayes appeared in the doorway, arms crossed and a knowing glint in their eyes. "You do understand," Jordan began, the words measured and probing, "that once we're in the depths, rank gives way to survival instincts. It's not about commands—it's empowerment through trust."
+
+The sentiment snagged on Cruz's armor of confidence, probing at the insecurities festering beneath. Taylor offered a brief nod, perhaps too curt, but enough to acknowledge Jordan's point without yielding ground. "Trust," Cruz mused, "or the illusion thereof, is just as potent."
+
+Silence claimed the space between them, steeped in the reality of the unknown dangers lurking in the shadows of the mission. Cruz diligently returned to the equipment, the act a clear dismissal.
+
+Not much later, Cruz stood alone, the hollow echo of the bay a stark reminder of the isolation that power often wrought. With each checked box, their resolve steeled further, a silent vow to usher their team through the abyss—whatever it might hold—and emerge enshrined in the respect they so deeply craved.
+
+## Chapter 2
+
+Sam Rivera sat alone in a cramped office, the hum of a dozen servers murmuring a digital lullaby in the background. Surrounded by the glow of multiple screens, their eyes danced across lines of code and intercepted comm signals from Dulce — a kaleidoscope of data that their curious and isolated mind hungered to decrypt.
+
+To an outsider, it might have looked like obsession, this fervent quest for answers. But to Sam, it was a dance — a give and take with the mysteries of the universe. Their fingers paused over the keyboard as they leaned back in the chair, whispering to thin air, "What secrets are you hiding from us?"
+
+The stillness of the room broke with the unexpected arrival of Alex Mercer, whose encroaching shadow loomed over Sam's workspace. The cybersecurity expert craned their neck upwards, met by the ever-so-slight furrow in Alex's brow. "Got a minute, Rivera?"
+
+"Always," Sam said, a smile surfacing as they swiveled to face their mentor more directly. _He has that look — like something's not sitting right with him,_ they noted inwardly.
+
+Alex hesitated, weighing his words carefully. "Our tech is top-tier, but the silence from Dulce... It's not just technology that will see us through, it's intuition and... trust." His gaze pierced through the digital haze, trying to instill something more profound than advice.
+
+Sam regarded Alex for a moment, the sincerity in his voice resonating with their own unspoken desire to prove their worth. "Intuition," they mirrored thoughtfully. "I guess sometimes the numbers don't have all the answers."
+
+Their shared silence held a newfound understanding, a recognition that between the ones and zeros, it was their combined human insights that might prevail against the impossible. As Alex turned to leave, Sam's eyes drifted back to the screens, now seeing them not as barriers to isolate behind, but as windows into the vast and enigmatic challenge that awaited their team.
+
+Outside the office, the persistent buzz of activity in the facility belied the unease that gripped its inhabitants. A restlessness that nibbled on the edges of reality, as though forewarning of the threshold they were soon to cross — from the known into the realm of cosmic secrets and silent threats.
+
+\*
+
+Shadows played against the walls of the cramped underground meeting room, where Alex Mercer stood gazing at the concealed elevator that would deliver them into the bowels of Dulce base. The air was thick, every breath laced with the weight of impending confrontation, the kind one feels when stepping into a legend. Though armed with an array of advanced weaponry and gear, there was an unshakeable sense that they were delving into a conflict where the physical might be of little consequence.
+
+"I know what you're thinking," Jordan Hayes remarked, approaching Mercer. Their voice was low, a blend of confidence and hidden apprehension. "This feels like more than a rescue or reconnaissance mission, doesn't it?"
+
+Alex turned, his features a mask of uneasy resolve. "It's like we're being pulled into someone else’s game. Not just observers or participants, but... pawns."
+
+Jordan gave a short nod, their analytical mind colliding with the uncertain dynamics of this operation. "I've felt that way since the briefing. Like there's a layer we’re not seeing. And yet, we have no choice but to play along." Their eyes locked with Alex's, silently exchanging a vow to remain vigilant.
+
+"You two need to cut the philosophical chatter. We have positions to secure," Taylor Cruz interjected sharply, stepping into their exchange. The authority in Taylor's voice brooked no argument; it was their way of pulling everyone back to the now.
+
+Alex's response was measured, more assertive than moments ago. "Acknowledged, Agent Cruz," he replied, his voice steadier, mirroring the transformation brewing within. He gripped his rifle with a newfound firmness. "Let's proceed."
+
+As they congregated at the elevator, a tension palpable, Sam Rivera piped in with a tone of balanced levity, "Hope everyone’s brought their good luck charms. Something tells me we’re going to need all the help we can get."
+
+Their laughter served as a brief respite from the gravity of their mission, a shared moment that reinforced their common humanity amidst the unknowable. Then, as one, they stepped into the elevator. The doors closed with a silent hiss, and they descended into the darkness together, aware that when they returned, if they returned, none of them would be the same.
+
+\*
+
+The sense of foreboding hung heavier than the darkness that the artificial lights of the elevator shaft failed to fully penetrate. The team was descending into the earth, carrying with them not only the weight of their equipment but also the silent pressure of the invisible war they were about to fight—a war that seemed to edge away from physicality and into the unnervingly psychological.
+
+As they descended, Dr. Jordan Hayes couldn't help but muse over the layers of data that could wait below, now almost longing for the comfort of empirical evidence. _To think that this reluctance to accept other possibilities may have been my biggest blind spot,_ Jordan contemplated, feeling the hard shell of skepticism begin to crack.
+
+Alex caught Jordan's reflective gaze and leaned in, his voice barely a murmur over the hum of the elevator. "Once we're down there, keep that analytical edge sharp. You see through the mazes of the unexplained better than anyone."
+
+The compliment was unexpected and weighed differently than praise from others. This was an acknowledgment from someone who stood on the front lines of the unknown with eyes wide open. "Thank you, Alex," Jordan said, the words carrying a trace of newfound assertiveness. "You can count on me."
+
+The exchange was cut short by a shudder that ran through the elevator, subtle, but enough to make them instinctively hold their breaths. It wasn't the mechanical stutter of old gears but a vibration that seemed to emanate from the very walls of the shaft—a whisper of something that defied natural explanation.
+
+Cruz was the first to react, all business despite the shadow that crossed their expression. "Systems check. Now," they barked out, masking the moment of disquiet with swift command.
+
+Every agent checked their gear, sending confirmation signals through their comms, creating a chorus of electronic beeps that promised readiness. But there was an unspoken question among them: was their technology, their weaponry, their protocols sufficient for what awaited them or merely a fragile comfort?
+
+Against the gravity of the silence that was once again closing in, Sam's voice crackled through, only half-jest. "I'd laugh if we run into Martians playing poker down there—just to lighten the mood, you know?"
+
+Despite—or perhaps because of—the oddity of the moment, this elicited a round of chuckles, an audible release of tension that ran counterpoint to the undercurrent of anxiety coursing through the team.
+
+As the elevator came to a halting, eerie calm at the sub-level, the group stepped off, finding themselves at the threshold of Dulce's mysterious halls. They stood in a tight pack, sharing a cautious glance before fanning out into the unknown, each one acutely aware that the truth was inevitably intertwined with danger.
+
+Into the depths of Dulce, the team advanced, their silence now a shared testament to the camaraderie born of facing the abyss together—and the steel resolve to uncover whatever horrors lay hidden in its shadows.
+
+\*
+
+The weight of the thick metal door closing behind them reverberated through the concrete hallway, marking the final threshold between the familiar world above and the strangeness that lay beneath. Dulce base, a name that had been whispered in the wind-blown deserts above and in the shadowed corners of conspiracy forums, now a tangible cold reality that they could touch — and that touched them back with a chill.
+
+Like lambs led to an altar of alien deities, so did Agents Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera proceed, their movements measured, their senses heightened. The air was still, almost respectful of the gravity of their presence. Their torch beams sliced through the darkness, uncovering steel doors with warnings that spoke of top secrets and mortal dangers.
+
+Taylor Cruz, stepping firmly into the role of de facto leader, set a brisk pace. "Eyes sharp, people. Comms check, every thirty seconds," Taylor ordered, their voice echoing slightly before being swallowed by the surrounding silence.
+
+Sam, fiddling with a handheld device aimed at detecting electronic anomalies, offered a murmured "Copy that," their usual buoyancy dimmed by the oppressive atmosphere.
+
+It was Jordan Hayes who paused at an innocuous looking panel, nondescript amongst the gauntlet of secured doorways. "Mercer, Rivera, come see this," Jordan’s voice was marked with a rare hint of urgency.
+
+Alex joined Jordan's side, examining the panel which, at a mere glance, seemed just another part of the base's infrastructure. Yet, to the trained eye, it appeared out of place—a facade.
+
+Jordan explained their reasoning as Sam approached, instinctively understanding the significance of what lay beneath, "This panel is a recent addition — covering something they didn't want found."
+
+Before Alex could respond, the soft whir of an approaching drone cut through their muffled exchange. Taylor had looped back upon hearing the commotion. "Explanations later. We can't afford to attract..." Cruz’s voice trailed off as the small airborne device came into view, its sensors locked onto the group.
+
+Sam was the first to react, their tech-savvy mind already steps ahead. "I've got this," they declared, fingers flying over the controls of their own gadgetry to ward off the impending threat.
+
+The drone lingered, its scan seeming more curious than hostile. But within moments, courtesy of Sam's interference, the little sentinel drifted away, retreating into the shadows as if accepting a silent truce. The crew exhaled, a moment of collective relief palpable in the air.
+
+Cruz squared their shoulders, clearly ruffled but not conceding any ground. "Move out," they directed, a hint more forceful than before. "And Rivera, keep that trick handy."
+
+The team pressed onward, the quiet now filled with the soft beeps of regular comms checks, their pace undeterred by the confrontation. Yet, every agent held a renewed sense of wariness, their trust in one another deepening with the knowledge that the base—its technology, its secrets—was alive in a way they hadn't fully anticipated.
+
+As they converged upon a central hub, the imposing doors to the mainframe room stood ajar — an invitation or a trap, neither option comforting. Without a word, they fortified their resolve and stepped through the threshold, where the dim glow of operational LED lights and the distant hum of machinery hinted at Dulce’s still-beating heart.
+
+Solemnly, yet unmistakably together, they moved deeper into the heart of the enigma, ready to unmask the lifeforce of Dulce base or confront whatever existential threat lay in wait. It was in that unwavering march towards the unknown that their destinies were forever cemented to the legacy of Operation: Dulce.
+
+## Chapter 3
+
+The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce.
+
+\*
+
+The cooling vents hummed in a monotonous drone, but it was the crackle of the comms system coming to life that cut through the lab’s tension. Dr. Jordan Hayes hovered over a table arrayed with alien technology, their fingers delicately probing the enigmatic circuitry retrieved from the crash site. Agent Alex Mercer watched, admiration blooming in silent solidarity for Jordan's deft touch and unspoken drive.
+
+Jordan, always composed, only allowed the faintest furrow of concentration to mar their brow. "What we understand about physics..." they muttered, trailing off as they realigned a translucent component. The device emitted a low pulse, causing Jordan to still. "Could be fundamentally changed by this."
+
+A calculated risk—that's what this was. And for a person of science, a gamble was worth the potential paradigm shift.
+
+"I’ve been thinking," Alex started, his eyes still fixed on the immediately tangible mystery before them. "About what’s at stake here. Not the mission parameters, but what this means for us—humanity."
+
+Jordan glanced up, meeting his eyes just long enough to convey the shared enormity of their situation; the career-defining glory and existential dread entwined. "The quest for understanding always comes at a price. We're standing on the precipice of knowledge that could either elevate us or condemn us."
+
+The charged air between them spiked as Taylor Cruz’s brusque tones sliced through their reverie. "Hayes, Mercer, this isn't philosophy hour. Focus on the task. We need actionable intel, not daydreams."
+
+With a sound of restrained acknowledgment, Jordan returned their gaze to the device, while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.
+
+Then Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”
+
+The underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.
+
+It was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths and for different reasons. Yet, beneath the veneer of duty, the enticement of the vast unknown pulled them inexorably together, coalescing their distinct desires into a shared pulse of anticipation.
+
+Marshaled back to the moment by the blink of lights and whir of machinery, they refocused their efforts, each movement sharpened by the knowledge that beyond understanding the unearthly artifacts, they might be piecing together the future of their species.
+
+\*
+
+Amidst the sterility of the briefing room, the liminal space between the facts laid out and the hidden truths, sat Sam Rivera, his demeanor an artful balance of focus and a casual disguise of his razor-sharp talent with technology. Across from him, Alex Mercer lingered in thought, the mental cogs turning as each file on Dulce stirred more than curiosity—it beckoned to a past both honored and burdensome.
+
+"You've been quiet, Sam," Alex noted, catching the younger man's contemplative gaze. "Your take on these signal inconsistencies?"
+
+There was a respect in Alex's tone, though a respectful distance remained—a gulf of experience and a hint of protective mentorship that stood between them. Sam nodded, recognizing the space afforded to him, and he couldn't help but feel the weight of expectation pressing upon his shoulders. It wasn't just the mission that was immense, it was the trust being placed in him.
+
+"The patterns are... off," Sam admitted, hesitant but driven. "If I'm right, what we're looking at isn't random—it's a structured anomaly. We need to be ready for anything." 
+
+Alex's eyes brightened with a subtle approval that crossed the distance like a silent nod. "Good. Keen eyes will keep us ahead—or at least not blindsided," he said, affirming the belief that inscribed Sam's role as more than the tech personnel—he was to be a guiding intellect in the heart of uncertainty.
+
+Their exchange was cut short by Taylor Cruz's abrupt arrival, his gait brimming with a robust confidence that veiled the sharp undercurrents of his striving nature. "Time to gear up. Dulce waits for no one," Taylor announced, his voice carrying an iron resolve that knew the costs of hesitation—though whether the cost was calculated in human or career terms was an ambiguity he wore like a badge of honor.
+
+As Sam and Alex nodded in unison, the icy chasm of hierarchy and cryptic protocols seemed momentarily to bridge over with an understanding—this mission was convergence, a nexus point that would challenge each of their motives and strength.
+
+They filed out of the briefing room, their footsteps synchronized, a rhythm that spoke volumes of the unknown cadence they would soon march to within the base's veins. For Alex Mercer, the link with Sam Rivera, though distant, was now poised with a mutuality ready to be tested; for Taylor Cruz, the initiative pulsed like a heartbeat, anticipation thinly veiled behind a mask of duty.
+
+In the midst of the descent, they were each alone yet irrevocably joined, stepping closer towards the volatile embrace of Operation: Dulce.
+
+## Chapter 4
+
+The corridors of the Dulce military base were as silent as a tomb and twice as chilling. Alex Mercer walked with a surety that belied his bubbling undercurrents of doubt. The briefing had been definitive, sturdy pillars of facts and protocols, yet as he ventured deeper, the ominous atmosphere gnawed at him—a stark reminder of how much remained unknown.
+
+Jordan Hayes trailed a few steps behind, their detached exterior breaking for a moment as they caught up to Alex. "What's on your mind?" Jordan asked, their astuteness cutting through the unspoken tension.
+
+Alex glanced back at them. This place was a puzzle, a treacherous labyrinth where the walls whispered secrets, and among them, he sensed a call to question, to challenge the narrative they'd been sold. "The silence here... It's almost as if the base is waiting for something—or someone."
+
+"Just stay sharp, Mercer," Jordan cautioned, yet their eyes lingered on the quietude around them, conceiving the same shadow of doubt that unsettled Alex.
+
+Before they could delve into further discussion, the distinctive click of a safety catch echoed in the hollow space. Both agents turned to find Taylor Cruz standing resolute, primed for combat. Taylor's gaze was scrutinizing and cold, a stark contrast to the growing unease that smoldered silently amongst the rest.
+
+"Chatter is a liability," Taylor snapped, with a commanding flair that bordered on tyrannical. "We move forward, eyes open, mouths shut."
+
+Alex felt the tight grip of compliance strangle his gut, a lesson learned under the hard tutelage of rank and order. But here, in the bowels of Dulce, those instincts began to wane, the imperative to adhere now conflicting with the pressing urgency to confront the shadows they were enmeshed in.
+
+Then, unexpectedly, the lights flickered, a power fluctuation—or a sign? Alex's hand instinctively went to his sidearm, his mindset shifting from soldier to skeptic. The base, with its unyielding coldness, had just given them their first nudge into the realm of the speculative, an invitation to peel back the veneer of reality.
+
+"We should consider all possibilities," Alex murmured, more to himself than the others, his voice a barely audible breath against the sterile air of the complex.
+
+Taylor's posture stiffened at the challenge, yet their response was uncharacteristically reserved, notable in its lack of rebuke. "Agreed. For now, keep moving. But stay vigilant."
+
+A surprise—an echo of agreement from the last person Alex expected it from. And there it was, the glimpse of a wrinkle in the unyielding fabric of command, a hint that perhaps they were all starting to sense the strangeness that permeated this place.
+
+Progressing with determined steps, the trio moved deeper, silently acknowledging the evolution of their predicament. It was a small yet transformative concession to the unknown forces at play, an acknowledgment from each agent that, despite their disparate goals and ideals, the true nature of the Dulce base was an enigma that would forge new paths through their convictions.
+
+As they reached the central communications hub, the truth that awaited them lurked in the shadows, its eyes unseen but felt by all. The walls didn't just whisper now; they spoke in tones only the brave—or the foolish—would dare to listen to.
+
+\*
+
+The subterranean silence of Dulce was an oppressive entity of its own, wrapping the team in a cloak of uneasiness as they pressed on through the dimly lit corridor. Jordan Hayes found themselves contemplating the ramifications of each step taken into this suspended world, where the sterile air seemed to mock the gravity of their predicament. The closer they got to the communication hub, the more Jordan's mind wandered toward the realm of the inexplicable.
+
+Beside Jordan, Alex Mercer moved forward with deliberation, his gaze scanning the heavy utility doors they passed—one of which was partially ajar, beckoning them with its darkness. "After you, Dr. Hayes," Alex said, gesturing toward the mysterious opening. A hint of shared understanding passed between them; knowledge was the guiding star of this mission as much as confrontation or recovery.
+
+Jordan peered inside, the beam from their flashlight slicing through the obscurity. The room beyond was a chaotic cascade of papers, overturned furniture, and the particular kind of disorder born from hasty evacuation—or something far more sinister.
+
+"It's like they vanished in the middle of something urgent," Alex murmured, his voice tight with a mix of concern and anticipation. He began to sift through the scattered reports, each page a potential clue to the enigmatic silence that shrouded Dulce.
+
+Behind them, Taylor watched with a disciplined patience, their authority the foundation upon which the operation was built. Their voice cut into the stillness, a reminder of their presence, "Time is not our ally here."
+
+Drawing back from momentary distraction, Jordan acknowledged the wisdom in Taylor's words, yet could feel the shift in their stance—from skeptical, reserved analyst, to a proactive agent within the narrative. "You're right; these documents may hold critical insights. Let's collect what we can and analyze them properly."
+
+From the darkened hollows of the room, shadows seemed to cast subtle judgment as Alex and Jordan worked together with heightened urgency. Taylor, for once, didn't intervene but instead surveyed the entrance, their mind anticipating the unknown variables that lay ahead.
+
+Unexpectedly, a soft hiss emanated from a neglected terminal on the desk. Jordan's head snapped up, their heart rate accelerating at the potential ramifications. Without a word, they moved to the machine, hands driven by the newfound conviction that knowledge was more than power—it was survival.
+
+As Jordan began to extract what data they could from the terminal, the first comprehensible communication from the depths of Dulce in far too long crackled through: an automated distress marker, looping endlessly without further context. It was a revelation, one that reverberated through the group, confirming their fears and igniting an even greater need to press on.
+
+Watching Jordan's dogged determination, Alex witnessed the minor transformation in his colleague unfold—a shift from doubt to action, a sliver of belief in the possibilities beyond their rational understanding. This forge of resolve amidst the alien echoes of Dulce not only bonded them closer as a team but compelled them forward with a sharpened edge of responsibility to the truth, wherever it would lead.
+
+As they collected their findings and regrouped, the base around them imperceptibly changed, the air charged with the vibration of secrets poised on the brink of revelation. And in that charged silence, the group moved on, each now carrying pieces of a puzzle that would soon converge into a picture of galactic significance.
+
+\*
+
+In the chill of the cramped server room, the hum of machinery was the backbone to a symphony of data streams coursing through the air. Dr. Jordan Hayes, nerves alight with the mission's mounting unknowns, patched into the last known coordinates of the unsent distress broadcast they had uncovered. They were so close to the core now – to the truth behind the blackout – it was almost tangible.
+
+Beside them stood Agent Alex Mercer, ever the soldier, yet with eyes that betrayed an intellect craving to understand the murk beneath the surface. "Any progress, Dr. Hayes?" Alex queried, his voice betraying a subtle urgency.
+
+"Getting there," Jordan replied, fingers dancing across the keyboard. "Whoever sent this was cut off mid-transmission. It's as if Dulce itself swallowed the message whole."
+
+Taylor Cruz closed in, their frame casting a long shadow over the duo, evoking an almost palpable wall between them and the forward momentum of their mission. "Time is against us," Taylor intoned, more statement than threat. "What we uncover here determines our next course of action."
+
+Alex acknowledged Taylor with a brisk nod, his stance firm. Yet inwardly, the tightening grip he felt from Taylor's words couldn't throttle the swell of his own investigative instinct. His soldier's obedience had begun to war with the advocate's zeal for unveiling the dark heart of Dulce's secrets. 
+
+And then, the unexpected occurred. The screens flashed in unison, spilling a discordant stream of symbols and images that defied immediate analysis. Jordan's breath caught – this was the response they had been fishing for, an alien communication protocol resonating just at the edge of human comprehension.
+
+Each member of the team felt it: a shift in the room’s very atmosphere, like a veil being drawn from their perception. Alex and Jordan stood still, absorbed in the bewilderment of contact, while Taylor, despite their authority, hesitated – a minor betrayal that unease was creeping into even their disciplined heart.
+
+"Thoughts, Rivera?" Taylor rallied, seeking the counsel of Sam Rivera, whose eyes were wide with exhilaration.
+
+Sam stepped forward, breaking the spell of stillness. "It's like nothing I've ever seen before, but I think I can bridge our systems to communicate," they declared, a wisp of optimism braiding their voice. They set about adapting their gear to transmute the foreign signals into something the team could dissect, their actions a testament to the mentorship and belief instilled in them by Mercer and the team.
+
+Taylor observed them, a cold calculation behind their facade, as they weighed the worth of this anomaly. It was a crossroad that potentially led to either monumental breakthrough or unprecedented catastrophe. "Once you've established a line, document everything. We can't afford to miss any detail," Taylor ordered, the words sharper than intended.
+
+The connection was made, and with trembling anticipation, the team listened as the first garbled outputs began to emerge, their very essence promising insights that could alter the course of history. It was an enigmatic dance with the unknown, the pulse of Dulce no longer just a place, but a herald to an alien register the team had yet to decipher.
+
+Together, they stood at the precipice of understanding, where the faint glow of their monitors cast more than just light – it cast the shadow of burgeoning transformation. It was in this moment, in the grasp of an extraterrestrial tongue, that the team, bound by a hunger for knowledge and the raw edge of survival, found their mission reframed from a search for answers to the articulation of a question humankind had yet to fully ask.
+
+Silent in their commune with the inexplicable frequency, they realized they were not merely investigators; they had become liaisons on behalf of Earth, interpreters of a cosmic message that could redefine their very existence. The implications loomed large, but now, they would not face them alone – they would face them as a united front, wrought together by the very mysteries that once drove them apart.
+
+## Chapter 5
+
+Dr. Jordan Hayes clutched the edge of the briefing room table, their fingers white-knuckled against the laminate surface, as an array of constellations rotated on the projector—charts and graphs bleeding across the stars. In the dim room, nebulas and dark matter seemed within arm's reach, tangible yet unfathomable. 
+
+Sam Rivera leaned back against the wall, arms crossed, gaze darting between the swirling cosmos and the faces of their companions. A taut line of concentration etched their young features, a mingling of fervent curiosity with the nascent understanding of the high stakes for which they played.
+
+Jordan's voice broke the profound silence. "The patterns in the signal disruptions sync with none other than zenithal star alignments. It's as if... as if these 'meet and greets' were scheduled, predestined by celestial mechanics."
+
+The statement hung heavy, daring the occupants of the room to unravel its implications. Alex Mercer, his prior military resolve momentarily suspended, absorbed the hypothesis with a visible hunger. "It's like we're adhering to an appointment we never knew we had," he murmured, his heart a drumbeat in his chest.
+
+Taylor Cruz snorted—a sound that clattered against the high concepts like a tumbledown shack in a futurist cityscape. Folding their arms, they glanced between the agents, their apprehension clad in the contempt of practicality. "What we need are facts, not mystic conjecture."
+
+Alex pivoted on his heel, facing Taylor squarely, and his voice found its edge of steel. "This isn't mysticism, Cruz. It's a hypothesis based on observed phenomena as unpredictable as the place we're standing in."
+
+Taylor's gaze never wavered, yet the slight twitch at the corner of their mouth belied their taut composure. "If there's a semblance of truth to it, then it's critical intel. But remember, we're not astrologers—we're soldiers and scientists."
+
+Jordan met Taylor’s gaze with a curt nod, accepting the caution even as the crucible of their intellect smoldered with the fervor of cosmic discovery. Their eyes flicked to Sam, whose steady presence and ready tech affirmed a burgeoning dynamic—the makings of a sentinel, standing guard over the threshold of human understanding and cosmic reality.
+
+With the projector casting pallid light over their features, each agent became a silhouette of purpose, shadows pillared against the backdrop of an endless universe. The story they were embroiled in would soon demand they plunge into darkness to retrieve the light of knowledge—a light that could very well redraw the shape of their world.
+
+They left the briefing room with a shared silence, each pondering the vast weave of celestial intent and terrestrial response, sensing that the galactic appointment to which they'd unwittingly RSVP’d was more insistent—and more threatening—than any operation they’d faced before.
+
+\*
+
+As the Paranormal Military Squad team convened in the heart of the Dulce military complex, an air of bristling expectation clung to the walls of the underground sanctum. Alex Mercer’s brow furrowed while watching his companions—Jordan Hayes, diligently setting up their makeshift lab station, and Sam Rivera meticulously checking the communication relays they had restored. Taylor Cruz observed with hawk-like focus, yet to betray the strain that their command posed on them.
+
+The gravity of the mission had shifted, deepened; each member of the team felt its pull, tethered to the understanding that they were now part of a larger narrative—a cosmic play with Earth as a stage and the human race unwitting actors. 
+
+Jordan paused, a tension creeping across their shoulders as they aligned the satellite data with the alien message that had been decoded. "The instructions in this message," Jordan started, the timbre of their voice betraying their usual composure. "They're coordinates and... a warning."
+
+Sam leaned in, their eyes widening behind the glow of their laptop screen. "A warning? Like, ‘stay away from’, or ‘beware of’...?" Their words trailed off, uncertainty a new companion in their lexicon.
+
+Alex exhaled slowly, his mind racing to connect the dots. "It doesn't matter which," he said, decisive yet contemplative. "What matters is we understand intent. Are we being warned out of concern, or are we stumbling upon a threat?"
+
+Cruz’s iron-clad facade momentarily cracked, a fleeting glimpse of vulnerability flashing through their eyes. "We need to know if this entails additional risk to the operation," they said, directing their gaze specifically at Alex. "Mercer, I rely on you to keep the team grounded. No one goes off-course."
+
+Their reminder seemed both a command and a plea—rooted in an understanding that each member of the team now faced the duality of their roles, protectors of earthly secrets and heralds of potentially devastating revelations.
+
+Sam's fingers stilled mid-type, their task forgotten as they absorbed the weight of the unfolding reality. "We're the first line of defense... or detection," they mused half to themselves, a growing sense of agency within the larger play they were cast into.
+
+Jordan returned to the data, more resolute in their actions. The warning, whether cautionary or dire, was a beacon they no longer could ignore; its light casting aside shadows of doubt and igniting a collective purpose within the team.
+
+Alex watched Jordan and Sam, feeling a brotherhood in their shared quest. As Cruz paced, poised on the cusp of decisions that would mark their career and perhaps the fate of many, Alex knew the narrative had changed. They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.
+
+Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.
+
+Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer’s latter instincts gained precedence— the team’s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly hierarchies but by the pulsing symphony of the universe itself.
+
+\*
+
+The desert night loomed eerily still as echoes of hidden activity reverberated deep beneath the bleak sands of New Mexico. Diverting his gaze from the array of sensors before him, Jordan Hayes allowed a rare breath, deep and anxious. Turning to Alex Mercer's focused silhouette, the nocturnal landscape illuminated softly by makeshift floodlights, Jordan felt the syncopated tempo of apprehension and exhilaration jockey for primacy within.
+
+"The closer we get to unlocking these messages, the more I feel like we're peeling back layers of reality itself," Jordan confided, eyes not leaving the monitors that presented a constellation of data points.
+
+"Yes," Alex replied, his voice steady as he considered the implications of their discovery. "And we have to be ready for whatever we find beneath those layers. Whether it's a breakthrough or a Pandora's Box."
+
+Silence settled between them, broken only by the occasional buzz of communications equipment attempting to bridge terrestrial and extraterrestrial intelligences. Tense moments drifted by, laden with the expectant weight of near breakthrough, when a soft chime signaled an incoming transmission -- a rare sound that set every agent on high alert.
+
+Absent was the voice of Washington or Paranormal Military Squad command. Instead, a rhythmic series of pulses and tones filled the air, deliberately patterned, unmistakably non-human.
+
+Sam Rivera adjusted the sensitivity of the decoding equipment, their hands shaking with anticipation as much as focus. "I have it!" they announced, the signal transforming under their expertise into a sequence of visual symbols on the screen before them.
+
+Their shared excitement was palpable, a kinetic force resonating between the team members as they crowded around the display. 
+
+"What does it say?" Taylor Cruz demanded, the urgency in his tone scraping against the newfound wonderment.
+
+Interpreting the alien syntax required not only decoding but intuition and empathy. The words that emerged upon the screen were at once coherent and enigmatic: "*Voyage. Convergence. Peril.*"
+
+The stark simplicity of the message struck them collectively, a chill breeze wafting through their resolve.
+
+Alex stepped forward, piecing together the cryptic communication with a growing sense of obligation. "It’s a call to action," he deduced, "or possibly a summons."
+
+Jordan's gaze met Alex’s, both understanding that this was no longer an investigation or mere extraction of hidden truths. This was humanity's unwitting enlistment into a galactic dialogue that defied boundaries of nation, creed, or protocol.
+
+Sam's eyes were aglow, not with fear, but with the profound acceptance of inevitability that comes with groundbreaking revelation. Moreover, within Taylor's stern exterior churned the seed of reluctant admiration for the unclassified, the uncharted realms they were approaching.
+
+Together, they accepted the pivot in their mission, readjusting their objectives from exploration to engagement, and from isolation to a communal outreach beyond the stars. As dawn's first light threatened the horizon, it became clear that they were no longer merely operatives of a clandestine governmental faction—they were delegates on behalf of Earth, embarking on a voyage orchestrated by destinies unrelated to the mere geopolitics of their world.
+
+Turning to each other, their silhouettes sketched against the coming dawn, the agents recognized the transformation within and amongst them. They were bound by more than duty—they were intricately woven into the fabric of an unfolding cosmic opera, one in which they had been granted an undeniable role. And as they set course for the coordinates that beckoned them like a distant siren's call, it was with a solemn dedication to not only uncover the mysteries ahead but to navigate the convergence, and the peril, as unified emissaries of a world on the cusp of a broader understanding.
+
+\*
+
+Beneath the hum of the fluorescent lights and the vigilance of silent monitors, Alex Mercer stood with his team in the threshold of the base's command center, their faces etched with the fatigue of hours spent unraveling galactic mysteries. Jordan Hayes broke the stillness with a delicate fusion of disbelief and resolve. "The signal..." they began, their tone deliberate, "it’s evolving. It’s not just sending a message—it’s responding to us."
+
+Taylor Cruz leaned over the console, their eyes narrowing with intrigue and a flicker of unease, studying the alternating patterns on the screen. "Responding? Like it’s alive?" Taylor asked, a question that bordered on the edge of wonder and alarm.
+
+Sam Rivera’s gaze was locked onto their interface, a digital orchestra at their fingertips. "It could be some form of advanced AI. Or something else entirely," they contributed, a note of exhilaration betraying the gravity of the situation.
+
+Alex paced before the terminal, absorbing the enormity of their predicament. Their mission—once rooted in the solid ground of military discipline and covert operations—had transcended into an encounter of unprecedented import. "We need to be cautious," he advised, his voice a low rumble of cautious strategy. "If this signal is intelligent, how we interact with it could dictate the outcome of this entire operation."
+
+Jordan met Alex's gaze with a nod, the weight of the responsibility shared and accepted. "We have protocols for first contact, but nothing for... this," Jordan admitted. The room was gripped with tension, each breath seemingly louder than the last.
+
+Then, with a sudden burst that filled the command center, the signal coalesced into a clear and distinct pattern which replicated and expanded, its complexity revealing the hand—or mind—of an intelligent architect.
+
+Taylor's instinct for command surged forth. "Prepare to record and analyze. Whatever it is, we need to understand it—" But their words were cut short as the signal surged, enveloping the room in a brief, blinding cascade of light.
+
+In that pulse of brilliance, a shared revelation coursed through the team. The signal had become a bridge, an extension of unknown consciousness reaching towards them, testing, communicating, searching. 
+
+Alex stepped back from the light, feeling a profound change unravelling within him. The path forward would not be one of confrontation or conquest, but of connection and comprehension.
+
+Jordan turned to Alex and Taylor, seeing in their faces a reflection of the same metamorphosis taking place within themselves—a movement from observers to participants, from agents to ambassadors.
+
+With a collective breath, the team faced the kaleidoscope of lights. The alien signal, once a harbinger of enigma, was now a catalyst for transformation—a symphony of light and sound that echoed the beginnings of a new relationship between humanity and the alien unknown.
+
+And so, with deliberate steps, Alex Mercer led his team into the luminous fray. Science, protocol, and survival instinct harmonized within them, each member poised on the cusp of a new chapter in human history.
+
+They were no longer merely the instruments of Paranormal Military Squad's will—they were the vanguard of humankind’s first definitive leap into the cosmic community. 
+
+With the last echoes of the signal resonating in the control room, they each embraced the sequencing of the transmission, the dance of extraterrestrial light that now wrote itself into their story. The chapter of Operation: Dulce drew to a close, but the narrative of their destiny had only just begun.
+
+## Chapter 6
+
+\*
+
+The cool darkness of the command center at Dulce base was a stark contrast to the brewing storm outside, where the unforgiving New Mexico desert winds whispered of the hidden truths that lay buried deep beneath its surface. Dr. Jordan Hayes sat, their eyes fixed on the readout, the frenetic dance of symbols and numbers reflecting off their determined face. They were on the cusp of an epiphany, teetering between the widely accepted laws of physics and the promise of a new cosmic paradigm.
+
+Alex Mercer watched from across the room, noting the subtle shifts in Jordan’s posture that belied a developing readiness to embrace the unbelievable. “Find something?” Alex’s question, asked with a blend of curiosity and solidarity, bridged the gap between a command and a genuine query among equals.
+
+Jordan's response was slow, measured against the magnitude of their analysis. “This isn’t random static. It’s a pattern - a repeated sequence phasing in and out but distinctly artificial.” Jordan turned away from the screen, locking eyes with Alex. “This could change everything.”
+
+Sam Rivera leaned in, their eyes alight with the fires of revelation and a quenchless thirst for understanding. “A pattern means intention. Could it be a message?”
+
+A figure emerged from the doorway, casting a long shadow into the room - Taylor Cruz. “Intentions can be friendly, or hostile. We shouldn’t forget that,” said Taylor, bringing a dose of their usual pragmatism into the heart of discovery.
+
+Alex acknowledged Taylor’s caution with a nod, understanding the need to keep their feet grounded even as their spirits soared toward the unknown. “Then let’s be the first to find out which it is."
+
+The team gathered around the monitors, the soft tapping of Jordan's keystrokes now punctuated by the occasional crackle of Sam's radio equipment. The sound was almost ritualistic, a prelude to humanity’s potential first, knowing foray into a larger universe.
+
+Jordan’s fingers paused, suspended in mid-air. The signal had evolved, becoming a beacon that somehow felt less alien and more familiar. It was as if the complexities of their message were unfolding into something more accessible, more terrestrial.
+
+A hushed excitement swept through the room. The transformation suggested an awareness on the part of the unknown senders; a finesse that spoke volumes about their capabilities and perhaps their intentions.
+
+With the growing realization that they were engaging with an intelligence far exceeding their previous understanding, the team prepared to reach back across the cosmic divide. Prepared or not, they were no longer bystanders in this galactic narrative. They were active correspondents in an exchange that transcended galaxies and welcomed them into an expansive, possibly fraught, interstellar conversation.
+
+\*
+
+Inside the cavernous central hub of Dulce military base, Dr. Jordan Hayes stood in near-darkness, surrounded by a nest of cables and monitors that buzzed with silent, cryptic life. Jordan's eyes narrowed to focus on the sequences that danced across the screen—patterns that could unravel the cosmic enigma surrounding them.
+
+Alex Mercer approached with his characteristic stride, a signal of reliability in the chaos. "Status report, Dr. Hayes?" he inquired, his voice low, almost blending into the soundscape of beeping consoles and swirling fans.
+
+"We're on the brink of unravelling the signal's origin," Jordan replied, the weight of implications heavy in their tone. "There's intelligence behind it, a thought process alien to our own."
+
+As if summoned by their analysis, Taylor Cruz approached with authority radiating from every pore. "Understand this, we need to know if it's friend or foe. Don't get wrapped up in the existential—our lives may depend on the answers you provide."
+
+Sam Rivera, their hands adroitly adjusting a device to fine-tune the signal, chimed in with optimism undercut by anxious anticipation. "We're deciphering the comm encryption. Soon, we'll have a channel open—not just listening in, but speaking back."
+
+Alex nodded his understanding, his strategic mind processing the tactical implications while grappling with the more profound humanistic impact. "When we do, we'll tread carefully, communicate with purpose," he reassured the team.
+
+The operation had evolved rapidly, from a stealthy incursion into a clandestine labyrinth to an exchange with an extraterrestrial intellect. Their earlier trepidation transformed into determined focus, as they prepared to extend humanity’s hand into the vast unknown.
+
+An alert on one of the monitor stations snapped the team into alarm. The signal had not simply been waiting—it had been calculating. Now, it reached its crescendo, demanding their attention with a provocative urgency.
+
+Jordan's fingers raced over the keyboard, their eyes simultaneously interpreting data and sharing directives. "It’s a linguistic lock, a test of comprehension. We crack this, we establish dialogue."
+
+Taylor's presence was a beacon of steely resolve. "Then let’s solve it. This is what we trained for—the unknown."
+
+Alex and Sam exchanged a look that telegraphed their shared determination—this was not only the mission they had trained for; it was the mission they had been destined for.
+
+Together, the Paranormal Military Squad team leaned into the challenge, their minds honing in on the complex patterns with a singular goal: to unlock the conversation with an intelligence that had already begun to shift the foundations of what they knew, or thought they knew, about the universe.
+
+In a symphony of clicks and murmurs, they worked, knowing they were about to make a giant leap not just for themselves or Paranormal Military Squad, but for all of humanity. As the final pieces fell into place, Dulce's militaristic silence was shattered by the sound of intergalactic contact—by the sound of history being made.
+
+## Chapter 7
+
+In the enclosed space of Dulce’s command center, the air was thick with anticipation, each team member poised to tread the razor's edge between scientific breakthrough and galactic peril. Dr. Jordan Hayes focused intently on the screen, their fingers tapping a staccato rhythm against the keyboard as lines of alien code cascaded down the monitor.
+
+Alex Mercer's steely gaze surveyed the room, stopping on each member of his team. "Thoughts?" he asked, echoing the unspoken tension. His question, while directed at the group, lingered on Jordan—acknowledging their expertise and inviting collaboration rather than dictating orders.
+
+Jordan’s brow furrowed, an indicator of the mental gymnastics being performed. "It's unprecedented," they finally said, their voice a testament to the gravity of the moment. "Behavioral algorithms... if we're right, this code could reveal extraterrestrial thought patterns."
+
+Before anyone could react, Taylor Cruz interjected with the assertiveness of someone accustomed to commandeering the discourse. "Then let’s ensure we’re deciphering it correctly," Taylor stated, their tone suggesting they were still battling to maintain control over an increasingly alien situation.
+
+Sam Rivera hovered near the mainframe, youthful energy barely contained under the surface. "What if it’s more than just a message? What if they’re trying to extend consciousness across the stars?"
+
+The room fell into a contemplative silence, broken only by the hum of electronic equipment and the distant thud of secured doors locking in rhythm. The weight of responsibility rested on each agent's shoulders—a heaviness palpable in the air they shared.
+
+Alex stepped forward, reaching a subtle decision, one dictated by foresight and the humanity nestled at the core of their mission. "We approach with the aim to understand, not to confront," he said, softening his military bearing into a more diplomatic stance.
+
+Jordan nodded, appreciating the leadership that Alex displayed in the face of the unknown, and turned back to the cryptic data. Here, before them all, was a tangible piece of evidence—proof of an extraterrestrial sentience that had outreached the bounds of their expectations.
+
+Taylor took a breath, simultaneously exuding a sense of preparedness and venturing into the unknown alongside their peers. "Then let’s do what Paranormal Military Squad does best—investigate and adapt," Taylor added, finding comfort in the familiar even as they stood on the cusp of an unprecedented alchemy of science and mystery.
+
+The team leaned into their respective roles, driven by the urgency of the assignment and the pull of an insatiable curiosity. Sam offered a grin that belied the tension, a youthfulness that reminded them all of the profound excitement nested within the terror of the unknown.
+
+Quietly but resolutely, they turned back to their instruments, each of them a sentinel on the threshold of a new reality. The once implicit lines of command were now woven into a shared tapestry of hierarchy and camaraderie. As they danced with the unknown, they were beacons of sentient endeavor, casting the light of human consciousness into the vast darkness that called to them.
+
+\*
+
+\*
+
+Dulce Base's cavernous darkness was pierced by the sharp luminescence of monitors, casting an electric glow onto the faces of those who dared to unearth its secrets. Dr. Jordan Hayes stood motionless, eyes glazed in concentration, their mind a nexus where terrestrial science battled with celestial unknowns.
+
+Alex Mercer watched from a slight distance, the weight of command tangible upon his shoulders, though lightened by the shared burden now held amongst them. "We could be on the frontier of a new kind of diplomacy," he mused aloud, giving voice to the moment's gravity.
+
+At those words, Jordan's trance broke. "If that's the case, then these communications," Jordan motioned to the stream of data, "are our olive branch across the cosmos."
+
+Taylor Cruz, who paced with restless energy, halted and faced the team—his stoicism marred by the erratic dance of lights reflected in his eyes. "An olive branch, or an invitation to a battlefield?" he posed, ever the strategist, his words laced with a hint of cynicism.
+
+Sam Rivera, nestled amongst an array of equipment, licked their lips—a mixture of nerves and anticipation palpable. "We're mapping out something incredible here. Whether it's peace or war, we're the cartographers."
+
+Silence enveloped them like the expanse of space itself, each member contemplating the chasms they might bridge—or the abysses into which they might unwittingly descend.
+
+Alex's demeanor assumed a quiet resolve—the profound knowledge that this mission was as much about navigating uncharted philosophical territories as it was about ensuring survival. "Whichever it proves to be, we'll face it. Prepared, unified."
+
+A nod passed between Jordan and Alex, a silent exchange of mutual respect and shared mission. Sam, buoyed by the weighty encounters of the mind and machinery, entered keystrokes with a fervor that seemed to bring them ever closer to the alien mind.
+
+They stood there, the Paranormal Military Squad team, not just as guardians of homeworld secrets or as soldiers of clandestine wars, but as humankind's chosen few at the fulcrum of history—a history that was now unfolding to the rhythm of otherworldly codes.
+
+Each revelation, each parsed symbol, inched them toward the line between the earthly and otherworldly. And as they stood on this precipice of cosmic negotiations, it was clear the ensuing dialogue would not just shape the future of Paranormal Military Squad—it could very well redefine the parameters of human existence.
+
+\*
+
+The hum of advanced computational systems tingling with cryptic transmissions framed the ambiance of Dulce's mainframe chamber. Jordan Hayes, fingers hovering over a console dense with blinking lights, furrowed their brow as sequences of alien data streamed across the screen. 
+
+Alex materialized behind them, his presence a stable beacon amidst the technological whirlwind. "Look for patterns, anomalies. Anything that might resemble a handshake protocol in their communications," he directed, his voice a low thrum, reverberating with cautious optimism.
+
+Jordan cast a glance over their shoulder, acknowledging Alex's contribution with the shared understanding of colleagues who had transcended mere professional acquaintance. "I’m isolating sequences that seem to recur with more intention than static. If these are their ‘handshakes,’ then we might just be making first contact," they remarked, their focus returning to the screen with renewed vigor.
+
+From the other end of the room, where shadows married the artificial light, Sam's voice crackled through the static of nearby speakers, "Don't forget the anomalies we detected earlier. Each one could be a word, a sentence, or even a concept untranslatable to our current understandings."
+
+Resolute, Taylor Cruz stood at Jordan's other side, a stoic figure wrestling with the implications of their mission. "Keep pursuing this line," Taylor instructed, an undercurrent of intensity carried forth in their otherwise composed demeanor. "And remember, this isn't just about making contact; it's about securing knowledge for humanity."
+
+Alex offered a nod that spoke volumes, conveying his understanding of the stakes at play. Here, in this chamber of possibility, the team's actions would determine if humanity stood at the brink of a new age of understanding or the onset of an unprecedented threat.
+
+Every second thrummed with significance as Jordan and Sam worked in tandem, each keystroke a foray into the unknown. Taylor observed with a commander's scrutiny, the gravity of their role sustaining them against the waves of ambiguity breaking against their resolve.
+
+Pivotal moments come rarely in the course of human events but here, amidst the electronic symphony of a stalwart command center, lay the incepting notes of a cosmic overture. The harmony between human and alien, between Paranormal Military Squad and the vast reaches of space, began its first tentative measures, with each member of the team a vital instrument in a celestial ensemble yet to be fully heard.
+
+\*
+
+The crisp air within the mainframe room of Dulce base seemed to hum with unspoken possibilities. Jordan Hayes was the centerpiece of focus, their hands dancing methodically over the console as streams of otherworldly code cascaded down monitors, each flicker a potential key to the cosmic doors they were inching open.
+
+Alex Mercer watched, posture relaxed but eyes sharp. "Remember, this could be our first introduction, maybe even our first impression," he said, mindful of the gravity carried by each action they made henceforth.
+
+A hint of a smile touched Jordan's face, a small acknowledgment of the monumental task at hand. "Understood. I'm balancing the signal's syntax with our algorithms. If we're interpreting this correctly, it could be... well, an invitation."
+
+Into the electric tension of the chamber walked Taylor Cruz, their silhouette a sharp contrast against the cool lighting, radiating a presence that spoke of command and chilly tenacity. "An invitation, or a challenge?” Taylor questioned, the weight of their suspicion casting a different tint on the cascading data.
+
+Sam Rivera, in a corner arrayed with sophisticated equipment, piped up, their voice a buoyant note amidst the tentative atmosphere. "Either way, it's a connection. One that we're uniquely positioned to navigate," they remarked with an air of optimism threading through the uncertainty.
+
+Alex channeled the strengths of his team into the core of their approach, his leadership adapting to the contours of an unprecedented scenario. "Cautious and curious," he reflected aloud, shaping a strategy that balanced their thirst for comprehension with the prudence required in addressing the unknown.
+
+Jordan, hands momentarily at rest, looked up. The signal was more than a sequence of bits and commands—it was a riddle wrapped in the depths of space-time, and they were on the cusp of parsing its meaning.
+
+Taylor, hardly a step away, nodded in silent agreement. The implications of their findings might very well direct the course of human destiny from this point onward.
+
+Finding a tempo among themselves, the Dulce team was a confluence of ambition and acumen, each member intuitive to the beats of discovery. The chamber around them held untold stories, secrets coaxed from the stars, that now, led by Paranormal Military Squad's finest, began to unravel.
+
+The future in those moments was unwritten, a narrative scribed not in the dust of desert confines, but in the potential for interstellar diplomacy and understanding. As they prepared to script humanity's next chapter, the room seemed to pulse with the heartbeat of a story far greater than the sum of its parts.
+
+## Chapter 8
+
+The grit of an earthbound dust storm contrasted sharply with the pristine sterility of the underground command center. Alex Mercer, eyes set with fervent determination, stood over Jordan Hayes, whose fingers danced across the keyboard with rapid purpose. Monitoring the progression of alien code unraveling before them, Mercer spoke with a tempered urgency, "Keep it steady, Jordan. We might be initiating the first true interspecies communication bridge here. It's all about finesse now."
+
+Taylor Cruz, the embodiment of military precision, surveyed the room with a calculated gaze from their vigil beside an array of glimmering screens. "Remember, these could be delicate negotiations -- or coded threats. Stay sharp," Cruz added, their voice cool as polished steel.
+
+Jordan, with a silent nod, recognized the gravity of both stances. Gravitating between scientific acuity and diplomatic caution, they replied, "The sequence is aligning—syncing with our comms. It's looking more and more like direct engagement."
+
+Amid the banks of electronic machinery, the thrumming pulse of an impending interspecies signal exchange, Sam Rivera interjected with a youthful zeal that cut through the weighty atmosphere, "It's not just an exchange. It's a... symphony. It's as if they're teaching us their language through modulation."
+
+A moment of profound silence swept over the team. The isolation of their location, deep within the top-secret labyrinth of Dulce, became suffused with an almost palpable sense of historical significance.
+
+"Then our response needs to be equally symphonic," Alex uttered, contemplating the awe-inspiring transmutation of their task from a simple recovery mission to a full-blown cosmic concerto.
+
+With a renewed sense of wonder tempered by caution, the Paranormal Military Squad team found themselves harmonizing a delicate balance between envoys and interpreters. The long shadow cast by their duty was now illuminated by the brilliant glow of otherworldly dialogue.
+
+In this carefully orchestrated march towards the unknown, each individual's expertise became critical notes in a larger melody. The narrative of human achievement, so often defined by solitary pursuits, now emerged as a collaborative opus, each member of the team a maestro in their right.
+
+The protocols of encounters, the mathematics of languages, and the poetics of connection all fused into a singular moment of convergence. The echo of their efforts reverberated back to them, not through the cavernous base's concrete walls, but from light-years away, in the form of a reply, intangible yet infinitely profound.
+
+\*
+
+Amidst the hum of the supercomputers and the faint static from the scrambled transmissions, Alex Mercer cast a thoughtful glance across the dimly lit room toward where Dr. Jordan Hayes was methodically adjusting the archaic dials of the decryption machine. "Any progress?" he asked, his tone conveying both impatience and the deep-seated respect born from countless shared challenges.
+
+Jordan did not look up, their gaze remained locked on the flickering lights that represented a dialogue suspended between worlds. Their fingers ceased their dance, hovering meditatively over the controls. "We might be on the cusp of a breakthrough," Jordan suggested. "The signal... it's evolved. It's reflexive now, responsive in a way that suggests sentience."
+
+Taylor Cruz's familiar sharp strides approached the two, breaking the rhythm of soft beeps. "Responsive is good, if it means understanding," Taylor said, head tilted as they peered at the encryption data scrolling by. "But remember, comprehension can bring revelation or conflict."
+
+Sam Rivera’s youthful voice permeated the tension, brimming with an excitement edged by the enormity of what they faced. "If it's truly sentient, we're not just cracking a code; we're learning how to converse with an entirely new form of consciousness," they chimed in, the weight of history not lost on the zealous astrotechnician.
+
+Alex nodded, his thoughts alighting on potential strategies for navigating the conversation they were cultivating with the unfathomable. "We need to keep that conversation going, echo its patterns, and speak its language," he resolved, knowing the delicate nature of their work merited every ounce of their collective acumen.
+
+The chamber now was a crucible, forging within it the future narrative of human contact with the unknown. Every signal pulse they sent out was an invitation for understanding, and every echo back a step closer to bridging the cosmic divide. And so, together, they stood - agents in Paranormal Military Squad's clandestine ranks, united by purpose, sculpting humanity’s first sonnets into the void.
+
+\*
+
+#### Knowledge graph updates
+
+- (Jordan Hayes, Interprets, Communications as cosmic diplomacy, Moderate)
+
+- (Taylor Cruz, Questions, Potential aggressiveness of alien intent, Minor)
+
+- (Sam Rivera, Expresses, Optimism about forming a connection, Minor)
+
+- (Alex Mercer, Adopts, Balanced strategy for contact, Moderate)
+
+- (Paranormal Military Squad team, Navigates, Beats of cosmic discovery, Moderate)
+
+- (Paranormal Military Squad team, Prepares, To script humanity's interstellar narrative, Major)
+
+## Chapter 9
+
+The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought.
+
+Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware."
+
+A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention.
+
+"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke."
+
+Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time."
+
+Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel."
+
+Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them.
+
+They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos.
+
+\*
+
+\*
+
+The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought.
+
+Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware."
+
+A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention.
+
+"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke."
+
+Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time."
+
+Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel."
+
+Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them.
+
+They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos.
+
+\*
+
+Alex Mercer's eyes were fixed on the monitors, the reflected light casting an ethereal glow across his stoic face. The room buzzed with tension, a cacophony of low hums and electronic beeps that underscored the historic nature of their actions. He moved to where Dr. Jordan Hayes was immersed in their work, scrutinizing the alien code streaming rapidly down the terminal.
+
+"Find anything that might look like an entry point or a... digital handshake?" Alex asked, his voice steady, betraying none of the tension gripping his chest.
+
+Jordan looked up briefly, their expression weary yet intense, "Potentially. It's as if the code is anticipating our input, modifying itself in real-time. I've never seen anything like it."
+
+From across the room, Taylor Cruz's sharp voice cut through the hum. "Then it's learning or, possibly worse, baiting us. Proceed with extreme caution," they commanded, their firm stance reinforcing the gravity of the situation.
+
+Sam Rivera, surrounded by a cascade of screens and interfaces, added, "It's almost organic in its complexity. Any minute now, and I might have a way in."
+
+A slight nod was Alex's immediate response, his mind racing through the potential scenarios. "Everyone, stay alert. This could be the beginning of something profound." His seasoned eyes never left the unfolding drama on the monitors.
+
+The room fell silent, the air heavy with unspoken questions. Were they mere moments away from unlocking an otherworldly dialogue? Or was it a Pandora's box that, once opened, could not be closed?
+
+Alex moved closer to the main console, his fingers hovering over the command keys. With the precision of a maestro orchestrating a symphony, he communicated silently with Jordan – respectful of their expertise, aware that the next move could alter the course of human history.
+
+Jordan met his gaze, nodding sharply, and refocused on the task. The signal seemed to pulse with sentient curiosity, drawing them further into its intricate web. 
+
+A sudden flurry of alerts and the intensifying glow of monitors heralded that they had bridged a technological chasm. The alien intelligence on the other end was no longer a distant enigma – it was an active participant, responding to their digital overtures with an unknown agenda.
+
+The team's meticulous efforts had led them to a momentous threshold. Beyond lay unprecedented contact – a nexus of curiosity and potential peril. Within the confines of the base, against the backdrop of a silent desert night, the Paranormal Military Squad operatives became mediators of Earth's bid for cosmic relevance, their every action now a gesture in the grand dance of intergalactic relations.
+
+## Chapter 10
+
+The corridors of the Dulce military base, now silent, echoed with a history of whispered conspiracies and furtive movements. But in the command center, a delicate tapestry of light and sound was being woven as the echoes of cosmic dialogue resonated through the high-tech enclave. Dr. Jordan Hayes, now leading the efforts, called out from their workstation, "I’ve isolated the signal's harmonics. It's more than a call; it's a song, an interstellar siren’s call."
+
+Alex Mercer, steady and resilient in the face of the incomprehensible, acknowledged with a quiet nod, "A song that we need to learn—quickly." His eyes, heavy with responsibility, scanned the room, watching his team work tirelessly at the intersection of science and speculation.
+
+Sam Rivera, dulled by fatigue yet driven by unshakeable resolve, manipulated a complex array of audio interfaces. "There's a pattern, a repeating motif. It's structured, intentional," they muttered, their revelation a bridge between the known and the unimaginable.
+
+Taylor Cruz, a figure of central authority, paced the length of the room, their usual unflappable demeanor betraying a rare flicker of apprehension. "We should be wary of the sirens’ call," Taylor interjected, invoking myths of old as a cautionary metaphor. "We don't want to crash upon unseen shores."
+
+Undeterred, Jordan cast a determined glance at the team. "We navigate by starlight now, not by the limited light of our previous understanding." Their voice was a beacon, charting a course through unchartered realities.
+
+Every individual was acutely aware that each moment in that room was a conduit to an epochal shift for civilization. The mysterious signals, once distant and alien, had coalesced into complex and harmonious oscillations—beacons of an extraterrestrial intellect inviting Earth to join in a cosmic consortium.
+
+Silently, Alex approached the mainframe, his trained fingers aligning with the console’s mechanisms. The room watched in collective breathlessness as he set the frequency in motion, an introductory phrase to an otherworldly melody—a symphony that could bind worlds or spell devastation for all they knew.
+
+In the control room of Dulce, amongst whispered legends and the quiet hum of machines, humanity's ambassadors now stood, stretching their hands into the void, reaching for the hand that would either pull them into the light of new stars or into the maw of darkness between them.
+
+\*
+
+Underground, the Dulce facility's command center was awash with frenetic energy, a stark juxtaposition against the silent, decrepit corridors that enveloped them. The air hummed with anticipation as Dr. Jordan Hayes and Alex Mercer hunched over a console. The sterile light from the monitors cast an otherworldly glow upon their faces, now reflecting a mosaic of alien characters rapidly translating across the screen.
+
+"The patterns are evolving," Jordan murmured, concentration etched into their every feature. "It’s as if our attempts to decrypt have accelerated its learning. It’s adapting to us."
+
+Alex, who stood steadfast behind Jordan, felt a tinge of uncharted fear quickly quelled by the fire of discovery raging within him. "Keep it up," he urged. "But whatever this is becoming, we need to ensure it remains within our control."
+
+Taylor Cruz interjected, their voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.
+
+"It's like it's learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives ‘talking to strangers’ a whole new meaning."
+
+Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."
+
+Together, they stood on the edge of the unknown, forging humanity’s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.
+
+The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation of their investigative strategies. The air turned heavy with the scent of electricity and ambition as they closed in on a pivotal response.
+
+As the signal’s intelligence—whether artificial or biological—grew more profound, so too did the realization that their mission had morphed from passive observation to active engagement. There was no turning back now. Each agent embraced their part in the delicate dance of an interstellar exchange that could change everything they thought they knew about life, intelligence, and the dark void beyond Earth's atmosphere.
+
+\*
+
+The underground halls of Dulce Base, usually buzzing with covert operations, now thrummed with a different kind of energy, an electric mix of fear and fascination. At the heart of the base, in a room shielded from the world’s eyes, Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera huddled around a bank of monitors. Each screen flickered erratically with the alien script that had become the center of their lives—and perhaps the pivot on which humanity’s future would turn.
+
+Jordan's eyes never wavered from the displays, their expression was one of rapt concentration, interspersed with flashes of revelation. "We're conversing with the stars," they whispered, almost to themselves. The words hung in the air, a testament to the awe-inspiring strangeness of the situation.
+
+"The language is morphing; changing its structure with every exchange we have," Sam chimed in, enthusiasm tinged with the solemnity of the occasion. "It's like witnessing the birth of a new form of dialogue—one that spans galaxies."
+
+Taylor, despite the situation's precariousness, maintained an appearance of ironclad composure. "Keep the communication stream secured and monitored. We don't know what we're dealing with yet," they reminded the team, a bastion of protocol amidst uncertainty.
+
+Alex watched his team expand the parameters of human achievement; their work here would possibly define an era. "This is untrodden territory," he acknowledged, "and in every word we script, in every response we decode, we're drawing a map that others will follow."
+
+Jordan turned to Alex, a nod acknowledging the shared responsibility of this moment. They had embarked on a new voyage, an odyssey not of the body, but of the intellect and spirit. No longer explorers of the Earthly realm, they had been promoted by circumstance to ambassadors of humanity in a silent and boundless ocean.
+
+A sudden pulse of energy from the monitors signaled a breakthrough; the language had not only adapted but it seemed to resonate, to harmonize with their attempts at making contact. The alien script now sprawled across the screens didn't just ask to be understood—it invited interpretation, collaboration, maybe even companionship across the cold distances of space.
+
+As they stood before the precipice of first contact, Paranormal Military Squad's finest became the architects of a symphony meant to echo through the cosmos. But more than architects, they were the first to play the notes of this cosmic composition, daring to believe that on the other end, someone—or something—might be listening, ready to join the chorus.
+
+\*
+
+The underground command center of Dulce Base, once pulsing with clandestine operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera.
+
+Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt."
+
+The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here."
+
+Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood."
+
+Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance.
+
+The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion.
+
+A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption.
+
+The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history.
+
+## Chapter 11
+
+The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought.
+
+\*
+
+The thrum of the colossal machinery vibrated through the subterranean facility as Alex Mercer stood amidst the whispers of technology, each carrying voices from worlds apart. He watched as Sam Rivera adjusted a complex array of cosmic translators, their expression a mixture of anticipation and awe.
+
+"Are we ready, Mercer?" Taylor Cruz asked, the soft glow of the command center consoles reflecting upon their stern face.
+
+Alex turned towards Taylor, his eyes holding a depth that betrayed the enormity of the threshold they were about to cross. "This is it," he said. "Initiate the protocol. It's time we answer the cosmos."
+
+Jordan Hayes, stationed at the mainframe, typed rhythmically, a blue hue painting their focused features. The eerie silence that had settled over the team was interrupted by a visceral sound—humankind's response to the alien dialogue, now streaming into the abyss.
+
+The control room, once a fortress of solitude, erupted into an oasis of life. Lights flickered in tandem, echoing the symphony of interstellar communication. They stood together at the edge of discovery, facing the symmetry and discord of a universe unknown.
+
+"If we're right, we've just become Earth's first emissaries to a celestial congress we're only beginning to comprehend," Jordan's voice was somber, resonating with a mix of trepidation and honor. 
+
+The room filled with the resonance of human and alien minds converging, creating a new narrative within the fathomless expanse of existence. Paranormal Military Squad, once protectors of Earth's clandestine secrets, had now become the tether linking humanity to the cosmic fold.
+
+\*
+
+The underground command center of Dulce Base, once pulsing with covert operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera.
+
+Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt."
+
+The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here."
+
+Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood."
+
+Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance.
+
+The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion.
+
+A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption.
+
+The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history.
+
+## Chapter 12
+
+The underground facility of Dulce Base, once shrouded in silence and operational secrecy, now hummed with an energy that cradled the promise of cosmic revelation. Alex Mercer stood pensively by the central terminal, flanked by Dr. Jordan Hayes, Taylor Cruz, and Sam Rivera, each poised at the edge of a history-defining moment.
+
+Jordan's fingers ghosted across the console, tracing patterns of otherworldly origin. "The signal’s architecture is becoming more complex, resembling aspects of human cognition—recognition, learning, even... empathy?" they postulated with furrowed concern.
+
+Alex turned his gaze upon Jordan, his voice quiet but resolute, "Empathy could bridge galaxies. Let's harness this connection and proceed with cautious optimism."
+
+Taylor, ever the sober sentinel, projected a more pragmatic standpoint. "Empathy or not, we are duty-bound to assess the risk to humanity. Every new discovery warrants a measured response."
+
+The static hiss of communications equipment filled the air, its purpose now transformed into a dialogue with an intelligence beyond the stars. It was Sam, wide-eyed amid the myriad lights and switches, who broke the silence, "We have provisional confirmation of the signal’s intent—initiation. We’re being brought into a broader spectrum of cognizance."
+
+The chamber lay still for a heartbeat, the Paranormal Military Squad agents steeped in contemplation of the path unfurling before them—a path paved with possibilities of diplomacy or disruption, each step a venture further into the cosmic unknown.
+
+Alex stepped closer to the viewing monitors, each depicting alien symbols seemingly reaching out from the void. "Initiate the broadcast," he spoke with quiet command. "Our response will mark humanity’s readiness to partake in the wider conversation of conscious beings."
+
+Amidst the crackling air of expectation, the team wordlessly returned to their stations. They had transcended their roles as protectors of Earth's clandestine lore to become the harbingers of an interstellar parley that could change the existential course of life on their pale blue dot.
+
+The deep hum of the terminal emitted a signal—a testament to the uncanny reality that Earth was now actively partaking in an exchange not bound by gravity nor the limits of the solar wind.
+
+Here, in the depths of Dulce, a message from humanity woven from understanding and uncertainty was cast into the firmament, an epitheg of their desire to join the universal dialogue and discover their place among the constellations.
+
+\*
+
+The somber depths of the Dulce Base command center stood in stark counterpoint to the animated flurry of activity around the central comms array. Alex Mercer's silhouette loomed behind Dr. Jordan Hayes, who sat with a posture indicating laser focus on the decryption process. A quiet murmur of digital soundscape filled the space, subtly heightened by the anticipation of contact with an intelligence beyond the Earth.
+
+Jordan's voice was steady, betraying none of the extraordinary nature of their work, "Looking through the signal's pattern, it's evident we’re dealing with a form of intelligence—calculating, mirroring, possibly even understanding."
+
+Alex's reflection bounced off the darkened screens, his head nodding in silent affirmation. "We’re walking a delicate line. Our response should be thoughtful, measured. We’re ambassadors, not merely explorers."
+
+Taylor Cruz approached, arms folded, their words slicing through the din of careful keystrokes and soft whirrs, "If there’s even the slightest chance it understands, we can’t afford missteps. The language of the stars might be more absolute than ours."
+
+From another terminal, Sam Rivera brought youthful vigor to the conversation, "There’s rhythm in these patterns. If this is their way of reaching out, our reply should encapsulate all that we are—all that humanity stands for."
+
+Looking around at his team, Alex saw resolve etched on every face. The chamber, usually somber and echoing with the quiet steps of covert agents, now felt alive with the heartbeat of discovery. They were not just professionals operating in the gloom; they were a collective standing at the helm of a momentous journey.
+
+"Let’s begin," he said, returned by the resolve in his voice. "Every second counts." With that, they pressed forward, setting in motion a reply to a conversation billions of years in the making.
+
+The dance with an unseen partner commenced, each pulse they sent out a step taken with caution and hope. And as those digital pulses journeyed through the black sea of infinity, Earth, for perhaps the first time, joined a pan-galactic dialogue that whispered secrets of the cosmos—secrets that, until now, had been lost in the silent vastness of space.
+
+\*
+
+As the team stood in the centralized nerve center of Dulce's underground fortress, the solemn atmosphere was reverent, overseeing systems that engaged with an intelligence from the void. Alex's stance was contemplative as he gazed at Jordan Hayes, who presided over the console, the tension of the moment reaching a tactile fervor. Each rhythmic tap of Hayes's fingers on the keys was a foray into uncharted symphonies of contact.
+
+Observing Hayes unravel the dense alien encryption, Alex spoke, a diplomatic tenor underpinning his words, "Keep focused on the syntax, dissect its nuances. We're not just decoding signals; we're translating intentions."
+
+Without diverting from their task, Jordan acknowledged the insight. "Indeed, if their understanding of us is as deep as we hope, we're paving the way for dialogue far beyond our current realm."
+
+Taylor Cruz, near the rear of the room, provided a steady oversight. "As horizonless as our prospects may seem," Taylor intoned, "remain diligent. Complacency before alien cognition could spell catastrophe."
+
+Sam's youthful voice resonated with optimism, "Imagine—forming a rapport with a consciousness separate from our reality; we're drafting the bridge to stars alive with minds!"
+
+The sentiment hung for a moment before Alex gathered his conviction. "Dialogue is our vessel. We are not just agents of enigma; we are the threads that may weave a new cosmic relationship." His words seemed to reflect off the walls, reaching beyond the room's confines, a quiet yet resilient vow.
+
+Their task was titanic, stepping stones laid delicately into new territories of existence. The signal, once an esoteric strand in the echo of the universe, beckoned now with a clarity rocketing the complexity of thoughts from a distant order.
+
+Action by action, the Paranormal Military Squad team bridged the vast interstellar distances, their expertise and empathy casting a beacon of unity into frontiers of intelligence and knowledge. Their work, a partnership struck with an unseen cosmic congregation, each pulse sent and received a line in Earth's novitiate envoi to the cosmic shores.
+
+\*
+
+Under the stark, unforgiving lights of Dulce Base's underground command center, tension buzzed harder than the banks of supercomputers that lined the walls. Agent Alex Mercer leaned over the shoulder of Jordan Hayes, whose eyes were locked onto the display screen, where an incomprehensible series of alien symbols streamed past incessantly.
+
+“Any progress on the decryption?” Alex's voice was steady, a controlled presence necessary in the gravity of their undertaking. 
+
+Jordan tapped a key, pausing the flow of code, and leaned back with a deep sigh. "We've broken through another subset of the cipher. It's revealing... well, indications of a complex society, not unlike our own." His eyes met Alex's with an unspoken question that hung heavily between them—were they truly prepared for what they might find?
+
+Taylor Cruz strode into the room, a tightly coiled spring of ambition and authority, and peered at the screen. "Understand their society, and we may predict behavior. Remain expedient—we don't know how much time we have before the situation shifts." There was an edge of stark realism to Taylor's words, the underlying message clear: every revelation bore its own set of risks.
+
+Alex nodded thoughtfully, recognizing the validity of Cruz's caution. Turning to Sam, who was tinkering with a device that buzzed quietly on the table, he asked, “Sam, can your contraption get us any further?”
+
+Sam looked up with a smirk, a twinkle of mischief in their eye. “It’s not just any contraption, it’s potentially a direct line to their thoughts. Give me a moment more, and I'll have something for you.”
+
+The air ticked with electronic beeps and the rustling sound of the Paranormal Military Squad team at work. They were so close to peering into the intelligence of an alien race—a reality on the brink of dramatically expanding their understanding of the universe.
+
+The machinery whirred in response to Sam’s precise touches, and suddenly, the room filled with a low hum—something had changed, a signal had been successfully sent. The team held their breath as they listened. The sound that filled the room was unmistakable: a response, an alien voice filtered through the static of space and time.
+
+Alex exchanged a look of quiet triumph with Jordan. The breakthrough was monumental; they were no longer casting messages into the void but engaged in a dialogue—an exchange that marked the beginning of Operation: Dulce’s true unfolding. This was it, the first steps into an interstellar odyssey that demanded every ounce of their courage and wit.
+
+## Chapter 13
+
+Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive."
+
+A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic."
+
+Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. 
+
+Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field.
+
+The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._
+
+As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come. 
+
+\*
+
+The gritty, wind-tossed surface of New Mexico, just above the cavernous domain of Dulce Base, offered no shelter from the burgeoning storm—the scouring sands an earthly reminder of chaos theories in motion. Far beneath, a similar maelstrom brewed within the confines of the command center, as Paranormal Military Squad's handpicked squad stood poised for potential enormities of contact.
+
+Ruffling through printed transmission logs, Jordan Hayes dialed the focus of their analytical prowess onto the emerging pattern of signals crisscrossing between Earth and the unfathomable. "Our responses so far have echoed their complexity, but the real divergence is yet to come," Jordan remarked stoically, the calm belying the mounting surge of adrenaline for the revelation ahead.
+
+Alex Mercer's figure, a silhouette sharpened by the purpose, loomed at the periphery of the monitors' sickly glow. "Indeed," he assented, "The echoes are the easy part. It will be the introduction of our own, human variable that truly begins our dialogue."
+
+Taylor Cruz, windowless command center notwithstanding, appeared as though they could feel the tempest above. Their eyes never left the monitors as they unspooled their hard wisdom. "For all our advances, we find ourselves deciphering the swings and nuances of an interstellar pendulum. Predict its arc, and we may preempt the gravity of its message."
+
+Amidst a chorus of bleeps and static, Sam Rivera's tech-clad hands moved rhythmically, their spirited approach to unruly streams of data bordering an intimate dance with entropy. "Entropy that leads to discovery," Sam mused, responding to Taylor's metaphor. "Each step into the unknown is a step away from precedent."
+
+Alex, drawing near Jordan, spoke again, his voice now a thread woven through the very fabric of their operations. "Let's be the cartographers of this new territory. Our initial shades of understanding could color the cosmos for generations to come."
+
+Their gazes fell upon a screen as the latest transmission painted its digital blooms of alien script across the black. This time, the pattern wavered in an almost imperceptible fashion, a modification that whispered of active, alien thought awaiting their next move. A hush enveloped the Paranormal Military Squad ensemble, the gravity of the pathogen undeniable. They were about to issue a reply, one poised to reshape the very concept of humanity's outreach into the cosmos.
+
+The New Mexico desert's secrets were infamous, its storms a mere prelude to the revelations that the team—united in purpose—would unleash upon the world. The howling winds outside found their counterpart in the newfound resolve within, as Dulce's stalwart guardians readied themselves to send forth humanity's retort to the echoes from beyond.
+
+\*
+
+The cavernous control room, deeply entrenched beneath the desolate New Mexico terrain, held the Paranormal Military Squad team in intense focus; an island of calm amid the storm of cosmic dialectics. Dr. Jordan Hayes worked methodically, every keystroke an intricate step in their tenuous cosmic ballet. Suddenly, they paused, a signal pattern resonating from the screen. "This is new; it's...inviting. It’s as if the signal is not just calling to us but weaving its intelligence through ours."
+
+Alex Mercer scrutinized the shift in data. "A confluence of minds, then. If we're to meet them halfway, Jordan, our reply must be both innovative and discerning," he proposed, a glimmer of profound curiosity behind his authoritative demeanor.
+
+Taylor Cruz, whose sharp eyes missed nothing, nodded from beside a secondary panel. "Innovative, yes, but also defensive. This interaction is a razor’s edge, and we cannot afford to bleed before the unknown," Taylor reminded them, the metaphor a stark warning of potential dangers.
+
+Against the backdrop of their conversation, Sam Rivera’s youthful optimism cut through the tension. "If they’re weaving through our intellect, then we've achieved something beyond first contact—we're at the genesis of interstellar symbiosis," they posited with a mix of reverence and excitement.
+
+Alex returned Sam’s smile with his own, tempered and faint, as he turned back to the task at hand. The magnitude of their mission extended beyond the fabric of the universe, an exploration into the threads that connected sentient beings across the vast expanse. “Let’s reply with our own woven tapestry of thought—delicate, but deliberate.”
+
+With renewed determination, the room came alive with an undercurrent of anticipation, its occupants charged with the potential of forging an alliance with the cosmos. Paranormal Military Squad's finest were no longer merely soldiers and scientists; they had become pioneers on the vanguard of humanity’s greatest odyssey.
+
+The New Mexican sands above, impassive to the change brewing underneath, stood as silent sentinels as Earth's emissaries crafted their response. A response that, composed with care and imbued with humanity's essence, reached into the void, connecting with an otherworldly intelligence that awaited their harmony in the cosmic conversation.
+
+## Chapter 14
+
+The command center of Dulce Base lay shrouded in shadows that seemed to claw at the edges of the dimly lit array of screens and consoles. Alex Mercer, focused and unwavering, watched as Dr. Jordan Hayes parsed the latest string of alien signals—a symphony of otherworldly communications that threatened to either enlighten or confound.
+
+"We’re encountering a paradigm shift with every transmission," Jordan Hayes murmured, the pulsing glow of the monitor painting their features with an almost spectral hue. "This signal... it’s evolving, becoming denser, more sophisticated. As if it's growing alongside us—tandem evolution."
+
+The air was electric, charged with the raw potential of uncharted discovery and laden with the gravity of existential risk. Taylor Cruz, who always seemed here to mold such gravity into actionable strategies, stepped forward. "We must contain this evolution within parameters we can manage. We cannot be bystanders to an uncontrolled ascent of intelligence."
+
+Sam Rivera, the youngest of the cohort, worked feverishly at their station. "It's not just intelligence—these signals have rhythm, a kind of music suggesting not just evolution, but a dance! We're being invited to partake in the cosmos's ballet!" they exclaimed, a touch of youthful exuberance breaking through the solemnity.
+
+Alex turned, facing his team, the stoic mask of command tempered by the perceptible flicker of awe in his gaze. "Let this dance then be our dialogue. We will match their steps with prudent but daring measures—our humanity as our guide."
+
+In the ensuing hours, the Paranormal Military Squad team forged a rhythm of their own, their collective expertise a beacon piercing through the fog of the unknown. The signal, increasingly intricate and seemingly conscious, now demanded not just observation but participation, an interstellar pas de deux that hummed with the promise and peril of first contact.
+
+Before them, the communications interface flickered to life with a received transmission—a resonant hum that seemed to vibrate through the very foundations of the base. They had successfully established a back-and-forth with whatever intelligence lay hidden among the stars. Every subsequent note they struck within the cosmic ether would come to define humanity's place within the galactic community—heralds of Earth's grand entrance into a universe far less silent than once perceived. 
+
+\*
+
+In the concrete belly of Dulce Base, dimly lit by the jagged dance of fluorescent lights above, Sam Rivera perched on the edge of their seat, their eager fingers fluttering across an ancient keyboard. The stark, cold room—reminiscent of a time when covert operations and unspoken dread ruled supreme—now housed a peculiar blend of old-world machinery and sleek, modern interfaces.
+
+Alex Mercer, standing steadfast like a bridge between the enigmatic past and the unfathomable present, watched on. In his eyes flashed the foreboding excitement of change. "Sam," he started, his voice steadfast, "the patterns in these signals, what do they tell us about the nature of our... guest?"
+
+Sam's eyes glimmered with something akin to thrill—or was it trepidation? "It's like we're mirroring each other, evolving together through this.. dialogue. Like it knows us, understands us, and it's… learning."
+
+Jordan Hayes, preoccupied at a nearby console, chimed in without lifting their gaze. "It's a dialogue that transcends mere words, Alex. We're being woven into a narrative far grander than the sum of our known sciences." 
+
+Taylor Cruz, arms crossed, wore the heavy mantle of their skepticism comfortably. "Keep theorizing," they interjected crisply, "but remember the grounding reality of what we are part of here. This contact is a blade that cuts both ways."
+
+In this cavern of history, voices both human and inhuman whispered secrets to those brave enough to listen. Each member present understood the gravity that pulled at their feet; no longer were they mere mortals shackled to their terrestrial plane. The digital pings and encrypted calls resonated with an implication of a cosmic agenda that would not be ignored.
+
+Jordan's fingers paused, hovering in hesitation. What ripple might the next keystroke send through the fabric of known existence? It was a step into the ballet of the infinite, where the Paranormal Military Squad team played their part in the waltz of wonders with an audience of stars.
+
+\*
+
+## Chapter 15
+
+In the clandestine hush of Dulce Base's subterranean command center, the Paranormal Military Squad team had become a crucible for interstellar communication. Dr. Jordan Hayes' gaze lingered on the screen as they navigated through the convolution of alien code. Each character held the potential to unravel a new dimension of contact, and with Sam Rivera's keen interjection, they were crafting humanity's inaugural cosmological discourse.
+
+Alex Mercer peered over Jordan's shoulder, calculating the implications of every visual nuance that cascaded across the monitor. "Look for consistency—any repeating motifs could signal a willingness to engage. We're drafting history with each exchange," he remarked, aware of the delicate balance between forging a bond and exposing vulnerabilities.
+
+Taylor Cruz, stoic and enigmatic, observed the interplay from the threshold, a silhouette against the machinery's luminescence. "Remember, while we seek common ground, the foundation we stand upon remains Terra firma. Caution must temper our curiosity," they stated, their voice an anchor amidst the current of excitement.
+
+The command center buzzed with energy, rivaled only by the tempest overhead that concealed their operation. Sam, with swift dexterity, navigated the communications relay. "Their signals resonate almost musically. It's as if they're composing a symphony, and we've been handed the baton to conduct the next movement," they offered, imbuing the scenario with a blend of scientific adventurism and poetic license.
+
+Amidst the whirring servers and the occasional flicker of emergency lighting, the essence of their mission transcended mere reconnaissance. They were humanity's elected envoys at the brink of a celestial alliance—or confrontation—with an audience as vast as the universe itself.
+
+Alex stepped back, his profile etched by the chamber's artificial day. "Then let's ensure our contribution to this symphony harmonizes with theirs. It's time for humanity's voice to rise and be counted among the cosmic ensemble."
+
+Under his directive, the Paranormal Military Squad team initiated their calculated response, weaving thoughts and theories into a digital overture aimed at the heart of alien intellect. As the digital stream punctured the endless night, each member of this clandestine group was acutely aware of the irrevocable step they undertook—bringing Earth into the pantheon of galactic entities designed to converse among the stars.
+
+\*
+
+Clusters of high-tech equipment bathed the Dulce underground command center in an eerie blue light. Sam Rivera's fingers flew across the keyboard, navigating an elaborate network of alien patterns. The very air seemed to pulse with the ebb and flow of cryptic communications reaching across the stars. "I've got something!" Sam's announcement tore through the focus in the room, drawing every pair of eyes to the torrent of symbols unraveling on the screen.
+
+With the pacing of a seasoned officer gauging the moment before action, Alex Mercer approached, his calm demeanor belying an acute awareness of the precipice on which they now stood. "Define 'something," Alex prompted, reinforcing the need for clarity amidst the extraordinary.
+
+"It's repeating—a sequence that’s evolved with each interaction, almost as if it's... singing," Sam theorized, the awe in their voice reflecting the potential magnitude of their discovery.
+
+Jordan Hayes interjected from across the console, their eyes not leaving the display as they absorbed the new data. "A cosmic vocalization, then," they mused, intrigued. "A singularity in the signal that might represent a point of reference for both parties."
+
+Taylor Cruz, hands clasped behind their back, regarded the unfolding scene, their own calculations etching lines of concern onto their stern visage. "Or a beacon—a homing tune, calling out to something we might not be ready to greet," Taylor offered, voicing the group's unspoken apprehension.
+
+Alex's eyes locked on the screen, taking in the scope of what they were attempting to interpret. Drawing a deep breath, Alex gave a slight nod. "If this is their song, then let us respond with ours. We've come this far by mirroring their signals, now let's engage in an interstellar duet, and see where the music leads us."
+
+With the expectation of the significant achieving a crescendo, the members of Paranormal Military Squad huddled over their equipment—sages at the threshold of a potentially world-altering communion. The strange harmonies that reverberated through the command center suggested that their interlocutors were poised, waiting, perhaps even eager, for Earth's chorus to join the symphony.
+
+As the team initiated their reply, weaving humanity's own intricate melody into the vast cosmic dialogue, they each felt a profound change within—an evolution of purpose. They were not just messengers or investigators; they had become co-composers in a galactic orchestra, with the universe itself as their witness and concert hall.
+
+With the exchange of harmonious signals crawling through the vacuum of space, the Paranormal Military Squad operatives found themselves part of a bridging of minds—a realization that out there, among the vast arrays of stars and planets, harmony was the true universal language.
+
+\*
+
+The dim glow of monitors cast an otherworldly ambiance upon Dulce Base's command center, where Paranormal Military Squad's chosen stood huddled over their instruments, suspended at history's threshold. Codes—alien in origin and nature—were being deciphered by Dr. Jordan Hayes, whose countenance bore the marks of deep concentration.
+
+Alex Mercer, the bedrock upon which their team's resolve was founded, leaned in with an eagerness tempered by his chain of command. "Jordan, we've invested our expertise into comprehending their patterns, but now we must also endeavor to understand their intent," he urged, his voice bearing the gravitas of their mission's potential consequences.
+
+At another console, Sam Rivera's youth did not betray their crucial role in the operation. With eyes alight, they mirrored the rapid computing before them. "There's emotion here—complex, profound even. This isn't just the output of a cold machine; it's...sentience," Sam whispered, nearly drowned by the mechanical chorus around them.
+
+Jordan, without shifting focus from their work, replied, "It's a sentience that—should we succeed here—ushers us into a new era of existence. The cadence of these signals," they tapped the screen with a flourish, "could well be the heartbeat of this new dawn."
+
+Taylor Cruz paused beside Mercer, their expression unreadable beneath the sterile light. "And as it beats, we must gauge whether its rhythm bodes well for us, or spells our missteps. Courage must not blind us to the hazards intrinsic to such contact," Taylor cautioned, the sentinel within them ever alert.
+
+Alex nodded, a gesture that carried the weight of responsibility and a silent command: proceed, but with circumspection. They were not merely decoding a message; they were interpreting a dialogue across the celestial divide.
+
+The room fell into a rhythm akin to a well-conducted ensemble. Each member's expertise proved a critical note in the unfolding symphony. Their actions were now more than mere research or defense; they were the tentative overtures of humankind reaching out to grasp the vast unknown.
+
+Textures of sound meshed with the light from countless computations, the palpable anticipation of the agents at the edge of discovery cresting with an awareness that their work would reshape future chronicles. And when the response finally came—a signal piercing the deafening silence of uncertainty—all within Dulce's confines understood: the dawn of an interstellar continuum had just begun to break.
+
+\*
+
+In the sterile hum and flickering lights of Dulce Base's command center, the Paranormal Military Squad team stood as humanity's vanguard, verging on the brim of an intergalactic abyss. Dr. Jordan Hayes, analytical edges sharp, deciphered extraterrestrial patterns that bled across screens in enigmatic cascades—a daunting mosaic of potential threats and untapped wisdom.
+
+Agent Alex Mercer, the embodiment of focus and a steadfast nerve, observed the unfolding digital drama with the gravitas due a historic first contact. "Let the data weave its narrative, Jordan," he instructed, a moderate undertone of exhilaration within his command. "It's encoding more than information—it's outlining civilization."
+
+Jordan absorbed the directive, their gaze unflinching from the screens, feeling the weight of their next move. "The nuances here are extraordinary," they acknowledged. "It paints a picture of a culture steeped in complexities we're only starting to fathom.”
+
+Taylor Cruz, stoicism personified yet not immune to the situation's gravity, chimed in. "Understand it, but guard against it," they cautioned, bringing a sober prudence to the room. "This culture, however advanced, remains an unknown quantity—an ocean of wonders and darkness with uncertain tides."
+
+Sam Rivera, a visual contrast with wide eyes and restless hands, represented the other side of the room — intrigue and optimism against the drawn swords of precaution. “Think of it,” they proposed, voice bouncing with a rebellious upbeat timbre, “as the first act of a play written in constellations. We're setting the stage for a galactic narrative.”
+
+Each team member, in their way, was both actor and scribe in this moment of tense pageantry. Heavy with the presence of risk, the command center had become not just a room of computers and glass panels but a theater for performing the elaborate choreography of contact.
+
+Bound by resolve and curiosity, they proceeded, each data entry a trembling step onto the cosmic stage. And like all cautious pioneers edging into fertile but unnavigated lands, they understood: as they mapped the heavens, they were simultaneously mapping the furthest reaches of their own existential horizons.
+
diff --git a/graphrag/examples_notebooks/inputs/operation dulce/create_final_community_reports.parquet b/graphrag/examples_notebooks/inputs/operation dulce/create_final_community_reports.parquet
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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Copyright (c) 2024 Microsoft Corporation.\n",
+    "# Licensed under the MIT License."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "import pandas as pd\n",
+    "import tiktoken\n",
+    "\n",
+    "from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey\n",
+    "from graphrag.query.indexer_adapters import (\n",
+    "    read_indexer_covariates,\n",
+    "    read_indexer_entities,\n",
+    "    read_indexer_relationships,\n",
+    "    read_indexer_reports,\n",
+    "    read_indexer_text_units,\n",
+    ")\n",
+    "from graphrag.query.input.loaders.dfs import (\n",
+    "    store_entity_semantic_embeddings,\n",
+    ")\n",
+    "from graphrag.query.llm.oai.chat_openai import ChatOpenAI\n",
+    "from graphrag.query.llm.oai.embedding import OpenAIEmbedding\n",
+    "from graphrag.query.llm.oai.typing import OpenaiApiType\n",
+    "from graphrag.query.question_gen.local_gen import LocalQuestionGen\n",
+    "from graphrag.query.structured_search.local_search.mixed_context import (\n",
+    "    LocalSearchMixedContext,\n",
+    ")\n",
+    "from graphrag.query.structured_search.local_search.search import LocalSearch\n",
+    "from graphrag.vector_stores.lancedb import LanceDBVectorStore"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Local Search Example\n",
+    "\n",
+    "Local search method generates answers by combining relevant data from the AI-extracted knowledge-graph with text chunks of the raw documents. This method is suitable for questions that require an understanding of specific entities mentioned in the documents (e.g. What are the healing properties of chamomile?)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Load text units and graph data tables as context for local search\n",
+    "\n",
+    "- In this test we first load indexing outputs from parquet files to dataframes, then convert these dataframes into collections of data objects aligning with the knowledge model."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Load tables to dataframes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "INPUT_DIR = \"./inputs/operation dulce\"\n",
+    "LANCEDB_URI = f\"{INPUT_DIR}/lancedb\"\n",
+    "\n",
+    "COMMUNITY_REPORT_TABLE = \"create_final_community_reports\"\n",
+    "ENTITY_TABLE = \"create_final_nodes\"\n",
+    "ENTITY_EMBEDDING_TABLE = \"create_final_entities\"\n",
+    "RELATIONSHIP_TABLE = \"create_final_relationships\"\n",
+    "COVARIATE_TABLE = \"create_final_covariates\"\n",
+    "TEXT_UNIT_TABLE = \"create_final_text_units\"\n",
+    "COMMUNITY_LEVEL = 2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Read entities"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# read nodes table to get community and degree data\n",
+    "entity_df = pd.read_parquet(f\"{INPUT_DIR}/{ENTITY_TABLE}.parquet\")\n",
+    "entity_embedding_df = pd.read_parquet(f\"{INPUT_DIR}/{ENTITY_EMBEDDING_TABLE}.parquet\")\n",
+    "\n",
+    "entities = read_indexer_entities(entity_df, entity_embedding_df, COMMUNITY_LEVEL)\n",
+    "\n",
+    "# load description embeddings to an in-memory lancedb vectorstore\n",
+    "# to connect to a remote db, specify url and port values.\n",
+    "description_embedding_store = LanceDBVectorStore(\n",
+    "    collection_name=\"entity_description_embeddings\",\n",
+    ")\n",
+    "description_embedding_store.connect(db_uri=LANCEDB_URI)\n",
+    "entity_description_embeddings = store_entity_semantic_embeddings(\n",
+    "    entities=entities, vectorstore=description_embedding_store\n",
+    ")\n",
+    "\n",
+    "print(f\"Entity count: {len(entity_df)}\")\n",
+    "entity_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Read relationships"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "relationship_df = pd.read_parquet(f\"{INPUT_DIR}/{RELATIONSHIP_TABLE}.parquet\")\n",
+    "relationships = read_indexer_relationships(relationship_df)\n",
+    "\n",
+    "print(f\"Relationship count: {len(relationship_df)}\")\n",
+    "relationship_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "covariate_df = pd.read_parquet(f\"{INPUT_DIR}/{COVARIATE_TABLE}.parquet\")\n",
+    "\n",
+    "claims = read_indexer_covariates(covariate_df)\n",
+    "\n",
+    "print(f\"Claim records: {len(claims)}\")\n",
+    "covariates = {\"claims\": claims}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Read community reports"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "report_df = pd.read_parquet(f\"{INPUT_DIR}/{COMMUNITY_REPORT_TABLE}.parquet\")\n",
+    "reports = read_indexer_reports(report_df, entity_df, COMMUNITY_LEVEL)\n",
+    "\n",
+    "print(f\"Report records: {len(report_df)}\")\n",
+    "report_df.head()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Read text units"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "text_unit_df = pd.read_parquet(f\"{INPUT_DIR}/{TEXT_UNIT_TABLE}.parquet\")\n",
+    "text_units = read_indexer_text_units(text_unit_df)\n",
+    "\n",
+    "print(f\"Text unit records: {len(text_unit_df)}\")\n",
+    "text_unit_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "api_key = os.environ[\"GRAPHRAG_API_KEY\"]\n",
+    "llm_model = os.environ[\"GRAPHRAG_LLM_MODEL\"]\n",
+    "embedding_model = os.environ[\"GRAPHRAG_EMBEDDING_MODEL\"]\n",
+    "\n",
+    "llm = ChatOpenAI(\n",
+    "    api_key=api_key,\n",
+    "    model=llm_model,\n",
+    "    api_type=OpenaiApiType.OpenAI,  # OpenaiApiType.OpenAI or OpenaiApiType.AzureOpenAI\n",
+    "    max_retries=20,\n",
+    ")\n",
+    "\n",
+    "token_encoder = tiktoken.get_encoding(\"cl100k_base\")\n",
+    "\n",
+    "text_embedder = OpenAIEmbedding(\n",
+    "    api_key=api_key,\n",
+    "    api_base=None,\n",
+    "    api_type=OpenaiApiType.OpenAI,\n",
+    "    model=embedding_model,\n",
+    "    deployment_name=embedding_model,\n",
+    "    max_retries=20,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Create local search context builder"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "context_builder = LocalSearchMixedContext(\n",
+    "    community_reports=reports,\n",
+    "    text_units=text_units,\n",
+    "    entities=entities,\n",
+    "    relationships=relationships,\n",
+    "    covariates=covariates,\n",
+    "    entity_text_embeddings=description_embedding_store,\n",
+    "    embedding_vectorstore_key=EntityVectorStoreKey.ID,  # if the vectorstore uses entity title as ids, set this to EntityVectorStoreKey.TITLE\n",
+    "    text_embedder=text_embedder,\n",
+    "    token_encoder=token_encoder,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Create local search engine"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# text_unit_prop: proportion of context window dedicated to related text units\n",
+    "# community_prop: proportion of context window dedicated to community reports.\n",
+    "# The remaining proportion is dedicated to entities and relationships. Sum of text_unit_prop and community_prop should be <= 1\n",
+    "# conversation_history_max_turns: maximum number of turns to include in the conversation history.\n",
+    "# conversation_history_user_turns_only: if True, only include user queries in the conversation history.\n",
+    "# top_k_mapped_entities: number of related entities to retrieve from the entity description embedding store.\n",
+    "# top_k_relationships: control the number of out-of-network relationships to pull into the context window.\n",
+    "# include_entity_rank: if True, include the entity rank in the entity table in the context window. Default entity rank = node degree.\n",
+    "# include_relationship_weight: if True, include the relationship weight in the context window.\n",
+    "# include_community_rank: if True, include the community rank in the context window.\n",
+    "# return_candidate_context: if True, return a set of dataframes containing all candidate entity/relationship/covariate records that\n",
+    "# could be relevant. Note that not all of these records will be included in the context window. The \"in_context\" column in these\n",
+    "# dataframes indicates whether the record is included in the context window.\n",
+    "# max_tokens: maximum number of tokens to use for the context window.\n",
+    "\n",
+    "\n",
+    "local_context_params = {\n",
+    "    \"text_unit_prop\": 0.5,\n",
+    "    \"community_prop\": 0.1,\n",
+    "    \"conversation_history_max_turns\": 5,\n",
+    "    \"conversation_history_user_turns_only\": True,\n",
+    "    \"top_k_mapped_entities\": 10,\n",
+    "    \"top_k_relationships\": 10,\n",
+    "    \"include_entity_rank\": True,\n",
+    "    \"include_relationship_weight\": True,\n",
+    "    \"include_community_rank\": False,\n",
+    "    \"return_candidate_context\": False,\n",
+    "    \"embedding_vectorstore_key\": EntityVectorStoreKey.ID,  # set this to EntityVectorStoreKey.TITLE if the vectorstore uses entity title as ids\n",
+    "    \"max_tokens\": 12_000,  # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000)\n",
+    "}\n",
+    "\n",
+    "llm_params = {\n",
+    "    \"max_tokens\": 2_000,  # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 1000=1500)\n",
+    "    \"temperature\": 0.0,\n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "search_engine = LocalSearch(\n",
+    "    llm=llm,\n",
+    "    context_builder=context_builder,\n",
+    "    token_encoder=token_encoder,\n",
+    "    llm_params=llm_params,\n",
+    "    context_builder_params=local_context_params,\n",
+    "    response_type=\"multiple paragraphs\",  # free form text describing the response type and format, can be anything, e.g. prioritized list, single paragraph, multiple paragraphs, multiple-page report\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Run local search on sample queries"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "result = await search_engine.asearch(\"Tell me about Agent Mercer\")\n",
+    "print(result.response)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "question = \"Tell me about Dr. Jordan Hayes\"\n",
+    "result = await search_engine.asearch(question)\n",
+    "print(result.response)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Inspecting the context data used to generate the response"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "result.context_data[\"entities\"].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "result.context_data[\"relationships\"].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "result.context_data[\"reports\"].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "result.context_data[\"sources\"].head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if \"claims\" in result.context_data:\n",
+    "    print(result.context_data[\"claims\"].head())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Question Generation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "This function takes a list of user queries and generates the next candidate questions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "question_generator = LocalQuestionGen(\n",
+    "    llm=llm,\n",
+    "    context_builder=context_builder,\n",
+    "    token_encoder=token_encoder,\n",
+    "    llm_params=llm_params,\n",
+    "    context_builder_params=local_context_params,\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "question_history = [\n",
+    "    \"Tell me about Agent Mercer\",\n",
+    "    \"What happens in Dulce military base?\",\n",
+    "]\n",
+    "candidate_questions = await question_generator.agenerate(\n",
+    "    question_history=question_history, context_data=None, question_count=5\n",
+    ")\n",
+    "print(candidate_questions.response)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/graphrag/graphrag/__init__.py b/graphrag/graphrag/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..a1e9b589bf66538dc47af7ecf2ac4a9f8831b6f1
--- /dev/null
+++ b/graphrag/graphrag/__init__.py
@@ -0,0 +1,4 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The GraphRAG package."""
diff --git a/graphrag/graphrag/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/__pycache__/__init__.cpython-310.pyc
new file mode 100644
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diff --git a/graphrag/graphrag/config/__init__.py b/graphrag/graphrag/config/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..118018a98fd920f232468ba0be374cebb947b820
--- /dev/null
+++ b/graphrag/graphrag/config/__init__.py
@@ -0,0 +1,123 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine default config package root."""
+
+from .create_graphrag_config import (
+    create_graphrag_config,
+)
+from .enums import (
+    CacheType,
+    InputFileType,
+    InputType,
+    LLMType,
+    ReportingType,
+    StorageType,
+    TextEmbeddingTarget,
+)
+from .errors import (
+    ApiKeyMissingError,
+    AzureApiBaseMissingError,
+    AzureDeploymentNameMissingError,
+)
+from .input_models import (
+    CacheConfigInput,
+    ChunkingConfigInput,
+    ClaimExtractionConfigInput,
+    ClusterGraphConfigInput,
+    CommunityReportsConfigInput,
+    EmbedGraphConfigInput,
+    EntityExtractionConfigInput,
+    GlobalSearchConfigInput,
+    GraphRagConfigInput,
+    InputConfigInput,
+    LLMConfigInput,
+    LLMParametersInput,
+    LocalSearchConfigInput,
+    ParallelizationParametersInput,
+    ReportingConfigInput,
+    SnapshotsConfigInput,
+    StorageConfigInput,
+    SummarizeDescriptionsConfigInput,
+    TextEmbeddingConfigInput,
+    UmapConfigInput,
+)
+from .models import (
+    CacheConfig,
+    ChunkingConfig,
+    ClaimExtractionConfig,
+    ClusterGraphConfig,
+    CommunityReportsConfig,
+    EmbedGraphConfig,
+    EntityExtractionConfig,
+    GlobalSearchConfig,
+    GraphRagConfig,
+    InputConfig,
+    LLMConfig,
+    LLMParameters,
+    LocalSearchConfig,
+    ParallelizationParameters,
+    ReportingConfig,
+    SnapshotsConfig,
+    StorageConfig,
+    SummarizeDescriptionsConfig,
+    TextEmbeddingConfig,
+    UmapConfig,
+)
+from .read_dotenv import read_dotenv
+
+__all__ = [
+    "ApiKeyMissingError",
+    "AzureApiBaseMissingError",
+    "AzureDeploymentNameMissingError",
+    "CacheConfig",
+    "CacheConfigInput",
+    "CacheType",
+    "ChunkingConfig",
+    "ChunkingConfigInput",
+    "ClaimExtractionConfig",
+    "ClaimExtractionConfigInput",
+    "ClusterGraphConfig",
+    "ClusterGraphConfigInput",
+    "CommunityReportsConfig",
+    "CommunityReportsConfigInput",
+    "EmbedGraphConfig",
+    "EmbedGraphConfigInput",
+    "EntityExtractionConfig",
+    "EntityExtractionConfigInput",
+    "GlobalSearchConfig",
+    "GlobalSearchConfigInput",
+    "GraphRagConfig",
+    "GraphRagConfigInput",
+    "InputConfig",
+    "InputConfigInput",
+    "InputFileType",
+    "InputType",
+    "LLMConfig",
+    "LLMConfigInput",
+    "LLMParameters",
+    "LLMParametersInput",
+    "LLMType",
+    "LocalSearchConfig",
+    "LocalSearchConfigInput",
+    "ParallelizationParameters",
+    "ParallelizationParametersInput",
+    "ReportingConfig",
+    "ReportingConfigInput",
+    "ReportingType",
+    "SnapshotsConfig",
+    "SnapshotsConfigInput",
+    "StorageConfig",
+    "StorageConfigInput",
+    "StorageType",
+    "StorageType",
+    "SummarizeDescriptionsConfig",
+    "SummarizeDescriptionsConfigInput",
+    "TextEmbeddingConfig",
+    "TextEmbeddingConfigInput",
+    "TextEmbeddingTarget",
+    "UmapConfig",
+    "UmapConfigInput",
+    "create_graphrag_config",
+    "read_dotenv",
+]
diff --git a/graphrag/graphrag/config/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/config/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/config/create_graphrag_config.py b/graphrag/graphrag/config/create_graphrag_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..37a4477e00195e14c8ad6486fcf3a890e733c04c
--- /dev/null
+++ b/graphrag/graphrag/config/create_graphrag_config.py
@@ -0,0 +1,642 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration, loaded from environment variables."""
+
+import os
+from enum import Enum
+from pathlib import Path
+from typing import cast
+
+from datashaper import AsyncType
+from environs import Env
+from pydantic import TypeAdapter
+
+import graphrag.config.defaults as defs
+
+from .enums import (
+    CacheType,
+    InputFileType,
+    InputType,
+    LLMType,
+    ReportingType,
+    StorageType,
+    TextEmbeddingTarget,
+)
+from .environment_reader import EnvironmentReader
+from .errors import (
+    ApiKeyMissingError,
+    AzureApiBaseMissingError,
+    AzureDeploymentNameMissingError,
+)
+from .input_models import (
+    GraphRagConfigInput,
+    LLMConfigInput,
+)
+from .models import (
+    CacheConfig,
+    ChunkingConfig,
+    ClaimExtractionConfig,
+    ClusterGraphConfig,
+    CommunityReportsConfig,
+    EmbedGraphConfig,
+    EntityExtractionConfig,
+    GlobalSearchConfig,
+    GraphRagConfig,
+    InputConfig,
+    LLMParameters,
+    LocalSearchConfig,
+    ParallelizationParameters,
+    ReportingConfig,
+    SnapshotsConfig,
+    StorageConfig,
+    SummarizeDescriptionsConfig,
+    TextEmbeddingConfig,
+    UmapConfig,
+)
+from .read_dotenv import read_dotenv
+
+InputModelValidator = TypeAdapter(GraphRagConfigInput)
+
+
+def create_graphrag_config(
+    values: GraphRagConfigInput | None = None, root_dir: str | None = None
+) -> GraphRagConfig:
+    """Load Configuration Parameters from a dictionary."""
+    values = values or {}
+    root_dir = root_dir or str(Path.cwd())
+    env = _make_env(root_dir)
+    _token_replace(cast(dict, values))
+    InputModelValidator.validate_python(values, strict=True)
+
+    reader = EnvironmentReader(env)
+
+    def hydrate_async_type(input: LLMConfigInput, base: AsyncType) -> AsyncType:
+        value = input.get(Fragment.async_mode)
+        return AsyncType(value) if value else base
+
+    def hydrate_llm_params(
+        config: LLMConfigInput, base: LLMParameters
+    ) -> LLMParameters:
+        with reader.use(config.get("llm")):
+            llm_type = reader.str(Fragment.type)
+            llm_type = LLMType(llm_type) if llm_type else base.type
+            api_key = reader.str(Fragment.api_key) or base.api_key
+            api_base = reader.str(Fragment.api_base) or base.api_base
+            cognitive_services_endpoint = (
+                reader.str(Fragment.cognitive_services_endpoint)
+                or base.cognitive_services_endpoint
+            )
+            deployment_name = (
+                reader.str(Fragment.deployment_name) or base.deployment_name
+            )
+
+            if api_key is None and not _is_azure(llm_type):
+                raise ApiKeyMissingError
+            if _is_azure(llm_type):
+                if api_base is None:
+                    raise AzureApiBaseMissingError
+                if deployment_name is None:
+                    raise AzureDeploymentNameMissingError
+
+            sleep_on_rate_limit = reader.bool(Fragment.sleep_recommendation)
+            if sleep_on_rate_limit is None:
+                sleep_on_rate_limit = base.sleep_on_rate_limit_recommendation
+
+            return LLMParameters(
+                api_key=api_key,
+                type=llm_type,
+                api_base=api_base,
+                api_version=reader.str(Fragment.api_version) or base.api_version,
+                organization=reader.str("organization") or base.organization,
+                proxy=reader.str("proxy") or base.proxy,
+                model=reader.str("model") or base.model,
+                max_tokens=reader.int(Fragment.max_tokens) or base.max_tokens,
+                temperature=reader.float(Fragment.temperature) or base.temperature,
+                top_p=reader.float(Fragment.top_p) or base.top_p,
+                n=reader.int(Fragment.n) or base.n,
+                model_supports_json=reader.bool(Fragment.model_supports_json)
+                or base.model_supports_json,
+                request_timeout=reader.float(Fragment.request_timeout)
+                or base.request_timeout,
+                cognitive_services_endpoint=cognitive_services_endpoint,
+                deployment_name=deployment_name,
+                tokens_per_minute=reader.int("tokens_per_minute", Fragment.tpm)
+                or base.tokens_per_minute,
+                requests_per_minute=reader.int("requests_per_minute", Fragment.rpm)
+                or base.requests_per_minute,
+                max_retries=reader.int(Fragment.max_retries) or base.max_retries,
+                max_retry_wait=reader.float(Fragment.max_retry_wait)
+                or base.max_retry_wait,
+                sleep_on_rate_limit_recommendation=sleep_on_rate_limit,
+                concurrent_requests=reader.int(Fragment.concurrent_requests)
+                or base.concurrent_requests,
+            )
+
+    def hydrate_embeddings_params(
+        config: LLMConfigInput, base: LLMParameters
+    ) -> LLMParameters:
+        with reader.use(config.get("llm")):
+            api_type = reader.str(Fragment.type) or defs.EMBEDDING_TYPE
+            api_type = LLMType(api_type) if api_type else defs.LLM_TYPE
+            api_key = reader.str(Fragment.api_key) or base.api_key
+
+            # In a unique events where:
+            # - same api_bases for LLM and embeddings (both Azure)
+            # - different api_bases for LLM and embeddings (both Azure)
+            # - LLM uses Azure OpenAI, while embeddings uses base OpenAI (this one is important)
+            # - LLM uses Azure OpenAI, while embeddings uses third-party OpenAI-like API
+            api_base = (
+                reader.str(Fragment.api_base) or base.api_base
+                if _is_azure(api_type)
+                else reader.str(Fragment.api_base)
+            )
+            api_version = (
+                reader.str(Fragment.api_version) or base.api_version
+                if _is_azure(api_type)
+                else reader.str(Fragment.api_version)
+            )
+            api_organization = reader.str("organization") or base.organization
+            api_proxy = reader.str("proxy") or base.proxy
+            cognitive_services_endpoint = (
+                reader.str(Fragment.cognitive_services_endpoint)
+                or base.cognitive_services_endpoint
+            )
+            deployment_name = reader.str(Fragment.deployment_name)
+
+            if api_key is None and not _is_azure(api_type):
+                raise ApiKeyMissingError(embedding=True)
+            if _is_azure(api_type):
+                if api_base is None:
+                    raise AzureApiBaseMissingError(embedding=True)
+                if deployment_name is None:
+                    raise AzureDeploymentNameMissingError(embedding=True)
+
+            sleep_on_rate_limit = reader.bool(Fragment.sleep_recommendation)
+            if sleep_on_rate_limit is None:
+                sleep_on_rate_limit = base.sleep_on_rate_limit_recommendation
+
+            return LLMParameters(
+                api_key=api_key,
+                type=api_type,
+                api_base=api_base,
+                api_version=api_version,
+                organization=api_organization,
+                proxy=api_proxy,
+                model=reader.str(Fragment.model) or defs.EMBEDDING_MODEL,
+                request_timeout=reader.float(Fragment.request_timeout)
+                or defs.LLM_REQUEST_TIMEOUT,
+                cognitive_services_endpoint=cognitive_services_endpoint,
+                deployment_name=deployment_name,
+                tokens_per_minute=reader.int("tokens_per_minute", Fragment.tpm)
+                or defs.LLM_TOKENS_PER_MINUTE,
+                requests_per_minute=reader.int("requests_per_minute", Fragment.rpm)
+                or defs.LLM_REQUESTS_PER_MINUTE,
+                max_retries=reader.int(Fragment.max_retries) or defs.LLM_MAX_RETRIES,
+                max_retry_wait=reader.float(Fragment.max_retry_wait)
+                or defs.LLM_MAX_RETRY_WAIT,
+                sleep_on_rate_limit_recommendation=sleep_on_rate_limit,
+                concurrent_requests=reader.int(Fragment.concurrent_requests)
+                or defs.LLM_CONCURRENT_REQUESTS,
+            )
+
+    def hydrate_parallelization_params(
+        config: LLMConfigInput, base: ParallelizationParameters
+    ) -> ParallelizationParameters:
+        with reader.use(config.get("parallelization")):
+            return ParallelizationParameters(
+                num_threads=reader.int("num_threads", Fragment.thread_count)
+                or base.num_threads,
+                stagger=reader.float("stagger", Fragment.thread_stagger)
+                or base.stagger,
+            )
+
+    fallback_oai_key = env("OPENAI_API_KEY", env("AZURE_OPENAI_API_KEY", None))
+    fallback_oai_org = env("OPENAI_ORG_ID", None)
+    fallback_oai_base = env("OPENAI_BASE_URL", None)
+    fallback_oai_version = env("OPENAI_API_VERSION", None)
+
+    with reader.envvar_prefix(Section.graphrag), reader.use(values):
+        async_mode = reader.str(Fragment.async_mode)
+        async_mode = AsyncType(async_mode) if async_mode else defs.ASYNC_MODE
+
+        fallback_oai_key = reader.str(Fragment.api_key) or fallback_oai_key
+        fallback_oai_org = reader.str(Fragment.api_organization) or fallback_oai_org
+        fallback_oai_base = reader.str(Fragment.api_base) or fallback_oai_base
+        fallback_oai_version = reader.str(Fragment.api_version) or fallback_oai_version
+        fallback_oai_proxy = reader.str(Fragment.api_proxy)
+
+        with reader.envvar_prefix(Section.llm):
+            with reader.use(values.get("llm")):
+                llm_type = reader.str(Fragment.type)
+                llm_type = LLMType(llm_type) if llm_type else defs.LLM_TYPE
+                api_key = reader.str(Fragment.api_key) or fallback_oai_key
+                api_organization = (
+                    reader.str(Fragment.api_organization) or fallback_oai_org
+                )
+                api_base = reader.str(Fragment.api_base) or fallback_oai_base
+                api_version = reader.str(Fragment.api_version) or fallback_oai_version
+                api_proxy = reader.str(Fragment.api_proxy) or fallback_oai_proxy
+                cognitive_services_endpoint = reader.str(
+                    Fragment.cognitive_services_endpoint
+                )
+                deployment_name = reader.str(Fragment.deployment_name)
+
+                if api_key is None and not _is_azure(llm_type):
+                    raise ApiKeyMissingError
+                if _is_azure(llm_type):
+                    if api_base is None:
+                        raise AzureApiBaseMissingError
+                    if deployment_name is None:
+                        raise AzureDeploymentNameMissingError
+
+                sleep_on_rate_limit = reader.bool(Fragment.sleep_recommendation)
+                if sleep_on_rate_limit is None:
+                    sleep_on_rate_limit = defs.LLM_SLEEP_ON_RATE_LIMIT_RECOMMENDATION
+
+                llm_model = LLMParameters(
+                    api_key=api_key,
+                    api_base=api_base,
+                    api_version=api_version,
+                    organization=api_organization,
+                    proxy=api_proxy,
+                    type=llm_type,
+                    model=reader.str(Fragment.model) or defs.LLM_MODEL,
+                    max_tokens=reader.int(Fragment.max_tokens) or defs.LLM_MAX_TOKENS,
+                    temperature=reader.float(Fragment.temperature)
+                    or defs.LLM_TEMPERATURE,
+                    top_p=reader.float(Fragment.top_p) or defs.LLM_TOP_P,
+                    n=reader.int(Fragment.n) or defs.LLM_N,
+                    model_supports_json=reader.bool(Fragment.model_supports_json),
+                    request_timeout=reader.float(Fragment.request_timeout)
+                    or defs.LLM_REQUEST_TIMEOUT,
+                    cognitive_services_endpoint=cognitive_services_endpoint,
+                    deployment_name=deployment_name,
+                    tokens_per_minute=reader.int(Fragment.tpm)
+                    or defs.LLM_TOKENS_PER_MINUTE,
+                    requests_per_minute=reader.int(Fragment.rpm)
+                    or defs.LLM_REQUESTS_PER_MINUTE,
+                    max_retries=reader.int(Fragment.max_retries)
+                    or defs.LLM_MAX_RETRIES,
+                    max_retry_wait=reader.float(Fragment.max_retry_wait)
+                    or defs.LLM_MAX_RETRY_WAIT,
+                    sleep_on_rate_limit_recommendation=sleep_on_rate_limit,
+                    concurrent_requests=reader.int(Fragment.concurrent_requests)
+                    or defs.LLM_CONCURRENT_REQUESTS,
+                )
+            with reader.use(values.get("parallelization")):
+                llm_parallelization_model = ParallelizationParameters(
+                    stagger=reader.float("stagger", Fragment.thread_stagger)
+                    or defs.PARALLELIZATION_STAGGER,
+                    num_threads=reader.int("num_threads", Fragment.thread_count)
+                    or defs.PARALLELIZATION_NUM_THREADS,
+                )
+        embeddings_config = values.get("embeddings") or {}
+        with reader.envvar_prefix(Section.embedding), reader.use(embeddings_config):
+            embeddings_target = reader.str("target")
+            embeddings_model = TextEmbeddingConfig(
+                llm=hydrate_embeddings_params(embeddings_config, llm_model),
+                parallelization=hydrate_parallelization_params(
+                    embeddings_config, llm_parallelization_model
+                ),
+                vector_store=embeddings_config.get("vector_store", None),
+                async_mode=hydrate_async_type(embeddings_config, async_mode),
+                target=(
+                    TextEmbeddingTarget(embeddings_target)
+                    if embeddings_target
+                    else defs.EMBEDDING_TARGET
+                ),
+                batch_size=reader.int("batch_size") or defs.EMBEDDING_BATCH_SIZE,
+                batch_max_tokens=reader.int("batch_max_tokens")
+                or defs.EMBEDDING_BATCH_MAX_TOKENS,
+                skip=reader.list("skip") or [],
+            )
+        with (
+            reader.envvar_prefix(Section.node2vec),
+            reader.use(values.get("embed_graph")),
+        ):
+            embed_graph_model = EmbedGraphConfig(
+                enabled=reader.bool(Fragment.enabled) or defs.NODE2VEC_ENABLED,
+                num_walks=reader.int("num_walks") or defs.NODE2VEC_NUM_WALKS,
+                walk_length=reader.int("walk_length") or defs.NODE2VEC_WALK_LENGTH,
+                window_size=reader.int("window_size") or defs.NODE2VEC_WINDOW_SIZE,
+                iterations=reader.int("iterations") or defs.NODE2VEC_ITERATIONS,
+                random_seed=reader.int("random_seed") or defs.NODE2VEC_RANDOM_SEED,
+            )
+        with reader.envvar_prefix(Section.input), reader.use(values.get("input")):
+            input_type = reader.str("type")
+            file_type = reader.str(Fragment.file_type)
+            input_model = InputConfig(
+                file_type=(
+                    InputFileType(file_type) if file_type else defs.INPUT_FILE_TYPE
+                ),
+                type=(InputType(input_type) if input_type else defs.INPUT_TYPE),
+                encoding=reader.str("file_encoding", Fragment.encoding)
+                or defs.INPUT_FILE_ENCODING,
+                base_dir=reader.str(Fragment.base_dir) or defs.INPUT_BASE_DIR,
+                file_pattern=reader.str("file_pattern")
+                or (
+                    defs.INPUT_TEXT_PATTERN
+                    if file_type == InputFileType.text
+                    else defs.INPUT_CSV_PATTERN
+                ),
+                source_column=reader.str("source_column"),
+                timestamp_column=reader.str("timestamp_column"),
+                timestamp_format=reader.str("timestamp_format"),
+                text_column=reader.str("text_column") or defs.INPUT_TEXT_COLUMN,
+                title_column=reader.str("title_column"),
+                document_attribute_columns=reader.list("document_attribute_columns")
+                or [],
+                connection_string=reader.str(Fragment.conn_string),
+                storage_account_blob_url=reader.str(Fragment.storage_account_blob_url),
+                container_name=reader.str(Fragment.container_name),
+            )
+        with reader.envvar_prefix(Section.cache), reader.use(values.get("cache")):
+            c_type = reader.str(Fragment.type)
+            cache_model = CacheConfig(
+                type=CacheType(c_type) if c_type else defs.CACHE_TYPE,
+                connection_string=reader.str(Fragment.conn_string),
+                storage_account_blob_url=reader.str(Fragment.storage_account_blob_url),
+                container_name=reader.str(Fragment.container_name),
+                base_dir=reader.str(Fragment.base_dir) or defs.CACHE_BASE_DIR,
+            )
+        with (
+            reader.envvar_prefix(Section.reporting),
+            reader.use(values.get("reporting")),
+        ):
+            r_type = reader.str(Fragment.type)
+            reporting_model = ReportingConfig(
+                type=ReportingType(r_type) if r_type else defs.REPORTING_TYPE,
+                connection_string=reader.str(Fragment.conn_string),
+                storage_account_blob_url=reader.str(Fragment.storage_account_blob_url),
+                container_name=reader.str(Fragment.container_name),
+                base_dir=reader.str(Fragment.base_dir) or defs.REPORTING_BASE_DIR,
+            )
+        with reader.envvar_prefix(Section.storage), reader.use(values.get("storage")):
+            s_type = reader.str(Fragment.type)
+            storage_model = StorageConfig(
+                type=StorageType(s_type) if s_type else defs.STORAGE_TYPE,
+                connection_string=reader.str(Fragment.conn_string),
+                storage_account_blob_url=reader.str(Fragment.storage_account_blob_url),
+                container_name=reader.str(Fragment.container_name),
+                base_dir=reader.str(Fragment.base_dir) or defs.STORAGE_BASE_DIR,
+            )
+        with reader.envvar_prefix(Section.chunk), reader.use(values.get("chunks")):
+            chunks_model = ChunkingConfig(
+                size=reader.int("size") or defs.CHUNK_SIZE,
+                overlap=reader.int("overlap") or defs.CHUNK_OVERLAP,
+                group_by_columns=reader.list("group_by_columns", "BY_COLUMNS")
+                or defs.CHUNK_GROUP_BY_COLUMNS,
+            )
+        with (
+            reader.envvar_prefix(Section.snapshot),
+            reader.use(values.get("snapshots")),
+        ):
+            snapshots_model = SnapshotsConfig(
+                graphml=reader.bool("graphml") or defs.SNAPSHOTS_GRAPHML,
+                raw_entities=reader.bool("raw_entities") or defs.SNAPSHOTS_RAW_ENTITIES,
+                top_level_nodes=reader.bool("top_level_nodes")
+                or defs.SNAPSHOTS_TOP_LEVEL_NODES,
+            )
+        with reader.envvar_prefix(Section.umap), reader.use(values.get("umap")):
+            umap_model = UmapConfig(
+                enabled=reader.bool(Fragment.enabled) or defs.UMAP_ENABLED,
+            )
+
+        entity_extraction_config = values.get("entity_extraction") or {}
+        with (
+            reader.envvar_prefix(Section.entity_extraction),
+            reader.use(entity_extraction_config),
+        ):
+            entity_extraction_model = EntityExtractionConfig(
+                llm=hydrate_llm_params(entity_extraction_config, llm_model),
+                parallelization=hydrate_parallelization_params(
+                    entity_extraction_config, llm_parallelization_model
+                ),
+                async_mode=hydrate_async_type(entity_extraction_config, async_mode),
+                entity_types=reader.list("entity_types")
+                or defs.ENTITY_EXTRACTION_ENTITY_TYPES,
+                max_gleanings=reader.int(Fragment.max_gleanings)
+                or defs.ENTITY_EXTRACTION_MAX_GLEANINGS,
+                prompt=reader.str("prompt", Fragment.prompt_file),
+            )
+
+        claim_extraction_config = values.get("claim_extraction") or {}
+        with (
+            reader.envvar_prefix(Section.claim_extraction),
+            reader.use(claim_extraction_config),
+        ):
+            claim_extraction_model = ClaimExtractionConfig(
+                enabled=reader.bool(Fragment.enabled) or defs.CLAIM_EXTRACTION_ENABLED,
+                llm=hydrate_llm_params(claim_extraction_config, llm_model),
+                parallelization=hydrate_parallelization_params(
+                    claim_extraction_config, llm_parallelization_model
+                ),
+                async_mode=hydrate_async_type(claim_extraction_config, async_mode),
+                description=reader.str("description") or defs.CLAIM_DESCRIPTION,
+                prompt=reader.str("prompt", Fragment.prompt_file),
+                max_gleanings=reader.int(Fragment.max_gleanings)
+                or defs.CLAIM_MAX_GLEANINGS,
+            )
+
+        community_report_config = values.get("community_reports") or {}
+        with (
+            reader.envvar_prefix(Section.community_reports),
+            reader.use(community_report_config),
+        ):
+            community_reports_model = CommunityReportsConfig(
+                llm=hydrate_llm_params(community_report_config, llm_model),
+                parallelization=hydrate_parallelization_params(
+                    community_report_config, llm_parallelization_model
+                ),
+                async_mode=hydrate_async_type(community_report_config, async_mode),
+                prompt=reader.str("prompt", Fragment.prompt_file),
+                max_length=reader.int(Fragment.max_length)
+                or defs.COMMUNITY_REPORT_MAX_LENGTH,
+                max_input_length=reader.int("max_input_length")
+                or defs.COMMUNITY_REPORT_MAX_INPUT_LENGTH,
+            )
+
+        summarize_description_config = values.get("summarize_descriptions") or {}
+        with (
+            reader.envvar_prefix(Section.summarize_descriptions),
+            reader.use(values.get("summarize_descriptions")),
+        ):
+            summarize_descriptions_model = SummarizeDescriptionsConfig(
+                llm=hydrate_llm_params(summarize_description_config, llm_model),
+                parallelization=hydrate_parallelization_params(
+                    summarize_description_config, llm_parallelization_model
+                ),
+                async_mode=hydrate_async_type(summarize_description_config, async_mode),
+                prompt=reader.str("prompt", Fragment.prompt_file),
+                max_length=reader.int(Fragment.max_length)
+                or defs.SUMMARIZE_DESCRIPTIONS_MAX_LENGTH,
+            )
+
+        with reader.use(values.get("cluster_graph")):
+            cluster_graph_model = ClusterGraphConfig(
+                max_cluster_size=reader.int("max_cluster_size") or defs.MAX_CLUSTER_SIZE
+            )
+
+        with (
+            reader.use(values.get("local_search")),
+            reader.envvar_prefix(Section.local_search),
+        ):
+            local_search_model = LocalSearchConfig(
+                text_unit_prop=reader.float("text_unit_prop")
+                or defs.LOCAL_SEARCH_TEXT_UNIT_PROP,
+                community_prop=reader.float("community_prop")
+                or defs.LOCAL_SEARCH_COMMUNITY_PROP,
+                conversation_history_max_turns=reader.int(
+                    "conversation_history_max_turns"
+                )
+                or defs.LOCAL_SEARCH_CONVERSATION_HISTORY_MAX_TURNS,
+                top_k_entities=reader.int("top_k_entities")
+                or defs.LOCAL_SEARCH_TOP_K_MAPPED_ENTITIES,
+                top_k_relationships=reader.int("top_k_relationships")
+                or defs.LOCAL_SEARCH_TOP_K_RELATIONSHIPS,
+                temperature=reader.float("llm_temperature")
+                or defs.LOCAL_SEARCH_LLM_TEMPERATURE,
+                top_p=reader.float("llm_top_p") or defs.LOCAL_SEARCH_LLM_TOP_P,
+                n=reader.int("llm_n") or defs.LOCAL_SEARCH_LLM_N,
+                max_tokens=reader.int(Fragment.max_tokens)
+                or defs.LOCAL_SEARCH_MAX_TOKENS,
+                llm_max_tokens=reader.int("llm_max_tokens")
+                or defs.LOCAL_SEARCH_LLM_MAX_TOKENS,
+            )
+
+        with (
+            reader.use(values.get("global_search")),
+            reader.envvar_prefix(Section.global_search),
+        ):
+            global_search_model = GlobalSearchConfig(
+                temperature=reader.float("llm_temperature")
+                or defs.GLOBAL_SEARCH_LLM_TEMPERATURE,
+                top_p=reader.float("llm_top_p") or defs.GLOBAL_SEARCH_LLM_TOP_P,
+                n=reader.int("llm_n") or defs.GLOBAL_SEARCH_LLM_N,
+                max_tokens=reader.int(Fragment.max_tokens)
+                or defs.GLOBAL_SEARCH_MAX_TOKENS,
+                data_max_tokens=reader.int("data_max_tokens")
+                or defs.GLOBAL_SEARCH_DATA_MAX_TOKENS,
+                map_max_tokens=reader.int("map_max_tokens")
+                or defs.GLOBAL_SEARCH_MAP_MAX_TOKENS,
+                reduce_max_tokens=reader.int("reduce_max_tokens")
+                or defs.GLOBAL_SEARCH_REDUCE_MAX_TOKENS,
+                concurrency=reader.int("concurrency") or defs.GLOBAL_SEARCH_CONCURRENCY,
+            )
+
+        encoding_model = reader.str(Fragment.encoding_model) or defs.ENCODING_MODEL
+        skip_workflows = reader.list("skip_workflows") or []
+
+    return GraphRagConfig(
+        root_dir=root_dir,
+        llm=llm_model,
+        parallelization=llm_parallelization_model,
+        async_mode=async_mode,
+        embeddings=embeddings_model,
+        embed_graph=embed_graph_model,
+        reporting=reporting_model,
+        storage=storage_model,
+        cache=cache_model,
+        input=input_model,
+        chunks=chunks_model,
+        snapshots=snapshots_model,
+        entity_extraction=entity_extraction_model,
+        claim_extraction=claim_extraction_model,
+        community_reports=community_reports_model,
+        summarize_descriptions=summarize_descriptions_model,
+        umap=umap_model,
+        cluster_graph=cluster_graph_model,
+        encoding_model=encoding_model,
+        skip_workflows=skip_workflows,
+        local_search=local_search_model,
+        global_search=global_search_model,
+    )
+
+
+class Fragment(str, Enum):
+    """Configuration Fragments."""
+
+    api_base = "API_BASE"
+    api_key = "API_KEY"
+    api_version = "API_VERSION"
+    api_organization = "API_ORGANIZATION"
+    api_proxy = "API_PROXY"
+    async_mode = "ASYNC_MODE"
+    base_dir = "BASE_DIR"
+    cognitive_services_endpoint = "COGNITIVE_SERVICES_ENDPOINT"
+    concurrent_requests = "CONCURRENT_REQUESTS"
+    conn_string = "CONNECTION_STRING"
+    container_name = "CONTAINER_NAME"
+    deployment_name = "DEPLOYMENT_NAME"
+    description = "DESCRIPTION"
+    enabled = "ENABLED"
+    encoding = "ENCODING"
+    encoding_model = "ENCODING_MODEL"
+    file_type = "FILE_TYPE"
+    max_gleanings = "MAX_GLEANINGS"
+    max_length = "MAX_LENGTH"
+    max_retries = "MAX_RETRIES"
+    max_retry_wait = "MAX_RETRY_WAIT"
+    max_tokens = "MAX_TOKENS"
+    temperature = "TEMPERATURE"
+    top_p = "TOP_P"
+    n = "N"
+    model = "MODEL"
+    model_supports_json = "MODEL_SUPPORTS_JSON"
+    prompt_file = "PROMPT_FILE"
+    request_timeout = "REQUEST_TIMEOUT"
+    rpm = "REQUESTS_PER_MINUTE"
+    sleep_recommendation = "SLEEP_ON_RATE_LIMIT_RECOMMENDATION"
+    storage_account_blob_url = "STORAGE_ACCOUNT_BLOB_URL"
+    thread_count = "THREAD_COUNT"
+    thread_stagger = "THREAD_STAGGER"
+    tpm = "TOKENS_PER_MINUTE"
+    type = "TYPE"
+
+
+class Section(str, Enum):
+    """Configuration Sections."""
+
+    base = "BASE"
+    cache = "CACHE"
+    chunk = "CHUNK"
+    claim_extraction = "CLAIM_EXTRACTION"
+    community_reports = "COMMUNITY_REPORTS"
+    embedding = "EMBEDDING"
+    entity_extraction = "ENTITY_EXTRACTION"
+    graphrag = "GRAPHRAG"
+    input = "INPUT"
+    llm = "LLM"
+    node2vec = "NODE2VEC"
+    reporting = "REPORTING"
+    snapshot = "SNAPSHOT"
+    storage = "STORAGE"
+    summarize_descriptions = "SUMMARIZE_DESCRIPTIONS"
+    umap = "UMAP"
+    local_search = "LOCAL_SEARCH"
+    global_search = "GLOBAL_SEARCH"
+
+
+def _is_azure(llm_type: LLMType | None) -> bool:
+    return (
+        llm_type == LLMType.AzureOpenAI
+        or llm_type == LLMType.AzureOpenAIChat
+        or llm_type == LLMType.AzureOpenAIEmbedding
+    )
+
+
+def _make_env(root_dir: str) -> Env:
+    read_dotenv(root_dir)
+    env = Env(expand_vars=True)
+    env.read_env()
+    return env
+
+
+def _token_replace(data: dict):
+    """Replace env-var tokens in a dictionary object."""
+    for key, value in data.items():
+        if isinstance(value, dict):
+            _token_replace(value)
+        elif isinstance(value, str):
+            data[key] = os.path.expandvars(value)
diff --git a/graphrag/graphrag/config/defaults.py b/graphrag/graphrag/config/defaults.py
new file mode 100644
index 0000000000000000000000000000000000000000..4d6489140a4f863b12cabc4cdc087789d1aa7f2a
--- /dev/null
+++ b/graphrag/graphrag/config/defaults.py
@@ -0,0 +1,106 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Common default configuration values."""
+
+from datashaper import AsyncType
+
+from .enums import (
+    CacheType,
+    InputFileType,
+    InputType,
+    LLMType,
+    ReportingType,
+    StorageType,
+    TextEmbeddingTarget,
+)
+
+ASYNC_MODE = AsyncType.Threaded
+ENCODING_MODEL = "cl100k_base"
+#
+# LLM Parameters
+#
+LLM_TYPE = LLMType.OpenAIChat
+LLM_MODEL = "gpt-4-turbo-preview"
+LLM_MAX_TOKENS = 4000
+LLM_TEMPERATURE = 0
+LLM_TOP_P = 1
+LLM_N = 1
+LLM_REQUEST_TIMEOUT = 180.0
+LLM_TOKENS_PER_MINUTE = 0
+LLM_REQUESTS_PER_MINUTE = 0
+LLM_MAX_RETRIES = 10
+LLM_MAX_RETRY_WAIT = 10.0
+LLM_SLEEP_ON_RATE_LIMIT_RECOMMENDATION = True
+LLM_CONCURRENT_REQUESTS = 25
+
+#
+# Text Embedding Parameters
+#
+EMBEDDING_TYPE = LLMType.OpenAIEmbedding
+EMBEDDING_MODEL = "text-embedding-3-small"
+EMBEDDING_BATCH_SIZE = 16
+EMBEDDING_BATCH_MAX_TOKENS = 8191
+EMBEDDING_TARGET = TextEmbeddingTarget.required
+
+CACHE_TYPE = CacheType.file
+CACHE_BASE_DIR = "cache"
+CHUNK_SIZE = 1200
+CHUNK_OVERLAP = 100
+CHUNK_GROUP_BY_COLUMNS = ["id"]
+CLAIM_DESCRIPTION = (
+    "Any claims or facts that could be relevant to information discovery."
+)
+CLAIM_MAX_GLEANINGS = 1
+CLAIM_EXTRACTION_ENABLED = False
+MAX_CLUSTER_SIZE = 10
+COMMUNITY_REPORT_MAX_LENGTH = 2000
+COMMUNITY_REPORT_MAX_INPUT_LENGTH = 8000
+ENTITY_EXTRACTION_ENTITY_TYPES = ["organization", "person", "geo", "event"]
+ENTITY_EXTRACTION_MAX_GLEANINGS = 1
+INPUT_FILE_TYPE = InputFileType.text
+INPUT_TYPE = InputType.file
+INPUT_BASE_DIR = "input"
+INPUT_FILE_ENCODING = "utf-8"
+INPUT_TEXT_COLUMN = "text"
+INPUT_CSV_PATTERN = ".*\\.csv$"
+INPUT_TEXT_PATTERN = ".*\\.txt$"
+PARALLELIZATION_STAGGER = 0.3
+PARALLELIZATION_NUM_THREADS = 50
+NODE2VEC_ENABLED = False
+NODE2VEC_NUM_WALKS = 10
+NODE2VEC_WALK_LENGTH = 40
+NODE2VEC_WINDOW_SIZE = 2
+NODE2VEC_ITERATIONS = 3
+NODE2VEC_RANDOM_SEED = 597832
+REPORTING_TYPE = ReportingType.file
+REPORTING_BASE_DIR = "output/${timestamp}/reports"
+SNAPSHOTS_GRAPHML = False
+SNAPSHOTS_RAW_ENTITIES = False
+SNAPSHOTS_TOP_LEVEL_NODES = False
+STORAGE_BASE_DIR = "output/${timestamp}/artifacts"
+STORAGE_TYPE = StorageType.file
+SUMMARIZE_DESCRIPTIONS_MAX_LENGTH = 500
+UMAP_ENABLED = False
+
+# Local Search
+LOCAL_SEARCH_TEXT_UNIT_PROP = 0.5
+LOCAL_SEARCH_COMMUNITY_PROP = 0.1
+LOCAL_SEARCH_CONVERSATION_HISTORY_MAX_TURNS = 5
+LOCAL_SEARCH_TOP_K_MAPPED_ENTITIES = 10
+LOCAL_SEARCH_TOP_K_RELATIONSHIPS = 10
+LOCAL_SEARCH_MAX_TOKENS = 12_000
+LOCAL_SEARCH_LLM_TEMPERATURE = 0
+LOCAL_SEARCH_LLM_TOP_P = 1
+LOCAL_SEARCH_LLM_N = 1
+LOCAL_SEARCH_LLM_MAX_TOKENS = 2000
+
+# Global Search
+GLOBAL_SEARCH_LLM_TEMPERATURE = 0
+GLOBAL_SEARCH_LLM_TOP_P = 1
+GLOBAL_SEARCH_LLM_N = 1
+GLOBAL_SEARCH_MAX_TOKENS = 12_000
+GLOBAL_SEARCH_DATA_MAX_TOKENS = 12_000
+GLOBAL_SEARCH_MAP_MAX_TOKENS = 1000
+GLOBAL_SEARCH_REDUCE_MAX_TOKENS = 2_000
+GLOBAL_SEARCH_CONCURRENCY = 32
diff --git a/graphrag/graphrag/config/enums.py b/graphrag/graphrag/config/enums.py
new file mode 100644
index 0000000000000000000000000000000000000000..8741cf74ae079b1cd88d706f914573beab4bcc36
--- /dev/null
+++ b/graphrag/graphrag/config/enums.py
@@ -0,0 +1,115 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'PipelineCacheConfig', 'PipelineFileCacheConfig' and 'PipelineMemoryCacheConfig' models."""
+
+from __future__ import annotations
+
+from enum import Enum
+
+
+class CacheType(str, Enum):
+    """The cache configuration type for the pipeline."""
+
+    file = "file"
+    """The file cache configuration type."""
+    memory = "memory"
+    """The memory cache configuration type."""
+    none = "none"
+    """The none cache configuration type."""
+    blob = "blob"
+    """The blob cache configuration type."""
+
+    def __repr__(self):
+        """Get a string representation."""
+        return f'"{self.value}"'
+
+
+class InputFileType(str, Enum):
+    """The input file type for the pipeline."""
+
+    csv = "csv"
+    """The CSV input type."""
+    text = "text"
+    """The text input type."""
+
+    def __repr__(self):
+        """Get a string representation."""
+        return f'"{self.value}"'
+
+
+class InputType(str, Enum):
+    """The input type for the pipeline."""
+
+    file = "file"
+    """The file storage type."""
+    blob = "blob"
+    """The blob storage type."""
+
+    def __repr__(self):
+        """Get a string representation."""
+        return f'"{self.value}"'
+
+
+class StorageType(str, Enum):
+    """The storage type for the pipeline."""
+
+    file = "file"
+    """The file storage type."""
+    memory = "memory"
+    """The memory storage type."""
+    blob = "blob"
+    """The blob storage type."""
+
+    def __repr__(self):
+        """Get a string representation."""
+        return f'"{self.value}"'
+
+
+class ReportingType(str, Enum):
+    """The reporting configuration type for the pipeline."""
+
+    file = "file"
+    """The file reporting configuration type."""
+    console = "console"
+    """The console reporting configuration type."""
+    blob = "blob"
+    """The blob reporting configuration type."""
+
+    def __repr__(self):
+        """Get a string representation."""
+        return f'"{self.value}"'
+
+
+class TextEmbeddingTarget(str, Enum):
+    """The target to use for text embeddings."""
+
+    all = "all"
+    required = "required"
+
+    def __repr__(self):
+        """Get a string representation."""
+        return f'"{self.value}"'
+
+
+class LLMType(str, Enum):
+    """LLMType enum class definition."""
+
+    # Embeddings
+    OpenAIEmbedding = "openai_embedding"
+    AzureOpenAIEmbedding = "azure_openai_embedding"
+
+    # Raw Completion
+    OpenAI = "openai"
+    AzureOpenAI = "azure_openai"
+
+    # Chat Completion
+    OpenAIChat = "openai_chat"
+    AzureOpenAIChat = "azure_openai_chat"
+
+    # Debug
+    StaticResponse = "static_response"
+
+    def __repr__(self):
+        """Get a string representation."""
+        return f'"{self.value}"'
diff --git a/graphrag/graphrag/config/environment_reader.py b/graphrag/graphrag/config/environment_reader.py
new file mode 100644
index 0000000000000000000000000000000000000000..dc61301f8b14edd73eb5aec62f3efa0fdefb4391
--- /dev/null
+++ b/graphrag/graphrag/config/environment_reader.py
@@ -0,0 +1,154 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A configuration reader utility class."""
+
+from collections.abc import Callable
+from contextlib import contextmanager
+from enum import Enum
+from typing import Any, TypeVar
+
+from environs import Env
+
+T = TypeVar("T")
+
+KeyValue = str | Enum
+EnvKeySet = str | list[str]
+
+
+def read_key(value: KeyValue) -> str:
+    """Read a key value."""
+    if not isinstance(value, str):
+        return value.value.lower()
+    return value.lower()
+
+
+class EnvironmentReader:
+    """A configuration reader utility class."""
+
+    _env: Env
+    _config_stack: list[dict]
+
+    def __init__(self, env: Env):
+        self._env = env
+        self._config_stack = []
+
+    @property
+    def env(self):
+        """Get the environment object."""
+        return self._env
+
+    def _read_env(
+        self, env_key: str | list[str], default_value: T, read: Callable[[str, T], T]
+    ) -> T | None:
+        if isinstance(env_key, str):
+            env_key = [env_key]
+
+        for k in env_key:
+            result = read(k.upper(), default_value)
+            if result is not default_value:
+                return result
+
+        return default_value
+
+    def envvar_prefix(self, prefix: KeyValue):
+        """Set the environment variable prefix."""
+        prefix = read_key(prefix)
+        prefix = f"{prefix}_".upper()
+        return self._env.prefixed(prefix)
+
+    def use(self, value: Any | None):
+        """Create a context manager to push the value into the config_stack."""
+
+        @contextmanager
+        def config_context():
+            self._config_stack.append(value or {})
+            try:
+                yield
+            finally:
+                self._config_stack.pop()
+
+        return config_context()
+
+    @property
+    def section(self) -> dict:
+        """Get the current section."""
+        return self._config_stack[-1] if self._config_stack else {}
+
+    def str(
+        self,
+        key: KeyValue,
+        env_key: EnvKeySet | None = None,
+        default_value: str | None = None,
+    ) -> str | None:
+        """Read a configuration value."""
+        key = read_key(key)
+        if self.section and key in self.section:
+            return self.section[key]
+
+        return self._read_env(
+            env_key or key, default_value, (lambda k, dv: self._env(k, dv))
+        )
+
+    def int(
+        self,
+        key: KeyValue,
+        env_key: EnvKeySet | None = None,
+        default_value: int | None = None,
+    ) -> int | None:
+        """Read an integer configuration value."""
+        key = read_key(key)
+        if self.section and key in self.section:
+            return int(self.section[key])
+        return self._read_env(
+            env_key or key, default_value, lambda k, dv: self._env.int(k, dv)
+        )
+
+    def bool(
+        self,
+        key: KeyValue,
+        env_key: EnvKeySet | None = None,
+        default_value: bool | None = None,
+    ) -> bool | None:
+        """Read an integer configuration value."""
+        key = read_key(key)
+        if self.section and key in self.section:
+            return bool(self.section[key])
+
+        return self._read_env(
+            env_key or key, default_value, lambda k, dv: self._env.bool(k, dv)
+        )
+
+    def float(
+        self,
+        key: KeyValue,
+        env_key: EnvKeySet | None = None,
+        default_value: float | None = None,
+    ) -> float | None:
+        """Read a float configuration value."""
+        key = read_key(key)
+        if self.section and key in self.section:
+            return float(self.section[key])
+        return self._read_env(
+            env_key or key, default_value, lambda k, dv: self._env.float(k, dv)
+        )
+
+    def list(
+        self,
+        key: KeyValue,
+        env_key: EnvKeySet | None = None,
+        default_value: list | None = None,
+    ) -> list | None:
+        """Parse an list configuration value."""
+        key = read_key(key)
+        result = None
+        if self.section and key in self.section:
+            result = self.section[key]
+            if isinstance(result, list):
+                return result
+
+        if result is None:
+            result = self.str(key, env_key)
+        if result:
+            return [s.strip() for s in result.split(",")]
+        return default_value
diff --git a/graphrag/graphrag/config/errors.py b/graphrag/graphrag/config/errors.py
new file mode 100644
index 0000000000000000000000000000000000000000..9a2161b8afbcc78557b599930cf168b33168a882
--- /dev/null
+++ b/graphrag/graphrag/config/errors.py
@@ -0,0 +1,40 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+"""Errors for the default configuration."""
+
+
+class ApiKeyMissingError(ValueError):
+    """LLM Key missing error."""
+
+    def __init__(self, embedding: bool = False) -> None:
+        """Init method definition."""
+        api_type = "Embedding" if embedding else "Completion"
+        api_key = "GRAPHRAG_EMBEDDING_API_KEY" if embedding else "GRAPHRAG_LLM_API_KEY"
+        msg = f"API Key is required for {api_type} API. Please set either the OPENAI_API_KEY, GRAPHRAG_API_KEY or {api_key} environment variable."
+        super().__init__(msg)
+
+
+class AzureApiBaseMissingError(ValueError):
+    """Azure API Base missing error."""
+
+    def __init__(self, embedding: bool = False) -> None:
+        """Init method definition."""
+        api_type = "Embedding" if embedding else "Completion"
+        api_base = "GRAPHRAG_EMBEDDING_API_BASE" if embedding else "GRAPHRAG_API_BASE"
+        msg = f"API Base is required for {api_type} API. Please set either the OPENAI_API_BASE, GRAPHRAG_API_BASE or {api_base} environment variable."
+        super().__init__(msg)
+
+
+class AzureDeploymentNameMissingError(ValueError):
+    """Azure Deployment Name missing error."""
+
+    def __init__(self, embedding: bool = False) -> None:
+        """Init method definition."""
+        api_type = "Embedding" if embedding else "Completion"
+        api_base = (
+            "GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME"
+            if embedding
+            else "GRAPHRAG_LLM_DEPLOYMENT_NAME"
+        )
+        msg = f"Deployment Name is required for {api_type} API. Please set either the OPENAI_DEPLOYMENT_NAME, GRAPHRAG_LLM_DEPLOYMENT_NAME or {api_base} environment variable."
+        super().__init__(msg)
diff --git a/graphrag/graphrag/config/input_models/__init__.py b/graphrag/graphrag/config/input_models/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..f905ae38b2de5019dd2017ad93d9839d5e25fa6c
--- /dev/null
+++ b/graphrag/graphrag/config/input_models/__init__.py
@@ -0,0 +1,50 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Interfaces for Default Config parameterization."""
+
+from .cache_config_input import CacheConfigInput
+from .chunking_config_input import ChunkingConfigInput
+from .claim_extraction_config_input import ClaimExtractionConfigInput
+from .cluster_graph_config_input import ClusterGraphConfigInput
+from .community_reports_config_input import CommunityReportsConfigInput
+from .embed_graph_config_input import EmbedGraphConfigInput
+from .entity_extraction_config_input import EntityExtractionConfigInput
+from .global_search_config_input import GlobalSearchConfigInput
+from .graphrag_config_input import GraphRagConfigInput
+from .input_config_input import InputConfigInput
+from .llm_config_input import LLMConfigInput
+from .llm_parameters_input import LLMParametersInput
+from .local_search_config_input import LocalSearchConfigInput
+from .parallelization_parameters_input import ParallelizationParametersInput
+from .reporting_config_input import ReportingConfigInput
+from .snapshots_config_input import SnapshotsConfigInput
+from .storage_config_input import StorageConfigInput
+from .summarize_descriptions_config_input import (
+    SummarizeDescriptionsConfigInput,
+)
+from .text_embedding_config_input import TextEmbeddingConfigInput
+from .umap_config_input import UmapConfigInput
+
+__all__ = [
+    "CacheConfigInput",
+    "ChunkingConfigInput",
+    "ClaimExtractionConfigInput",
+    "ClusterGraphConfigInput",
+    "CommunityReportsConfigInput",
+    "EmbedGraphConfigInput",
+    "EntityExtractionConfigInput",
+    "GlobalSearchConfigInput",
+    "GraphRagConfigInput",
+    "InputConfigInput",
+    "LLMConfigInput",
+    "LLMParametersInput",
+    "LocalSearchConfigInput",
+    "ParallelizationParametersInput",
+    "ReportingConfigInput",
+    "SnapshotsConfigInput",
+    "StorageConfigInput",
+    "SummarizeDescriptionsConfigInput",
+    "TextEmbeddingConfigInput",
+    "UmapConfigInput",
+]
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diff --git a/graphrag/graphrag/config/input_models/__pycache__/umap_config_input.cpython-310.pyc b/graphrag/graphrag/config/input_models/__pycache__/umap_config_input.cpython-310.pyc
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diff --git a/graphrag/graphrag/config/input_models/cache_config_input.py b/graphrag/graphrag/config/input_models/cache_config_input.py
new file mode 100644
index 0000000000000000000000000000000000000000..fe88d35b44d4f3bc2667f9208c2b761987a55e86
--- /dev/null
+++ b/graphrag/graphrag/config/input_models/cache_config_input.py
@@ -0,0 +1,18 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from typing_extensions import NotRequired, TypedDict
+
+from graphrag.config.enums import CacheType
+
+
+class CacheConfigInput(TypedDict):
+    """The default configuration section for Cache."""
+
+    type: NotRequired[CacheType | str | None]
+    base_dir: NotRequired[str | None]
+    connection_string: NotRequired[str | None]
+    container_name: NotRequired[str | None]
+    storage_account_blob_url: NotRequired[str | None]
diff --git a/graphrag/graphrag/config/input_models/chunking_config_input.py b/graphrag/graphrag/config/input_models/chunking_config_input.py
new file mode 100644
index 0000000000000000000000000000000000000000..bbf4fc735f57f01250919967c59765e0f3e5ad1d
--- /dev/null
+++ b/graphrag/graphrag/config/input_models/chunking_config_input.py
@@ -0,0 +1,15 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from typing_extensions import NotRequired, TypedDict
+
+
+class ChunkingConfigInput(TypedDict):
+    """Configuration section for chunking."""
+
+    size: NotRequired[int | str | None]
+    overlap: NotRequired[int | str | None]
+    group_by_columns: NotRequired[list[str] | str | None]
+    strategy: NotRequired[dict | None]
diff --git a/graphrag/graphrag/config/input_models/claim_extraction_config_input.py b/graphrag/graphrag/config/input_models/claim_extraction_config_input.py
new file mode 100644
index 0000000000000000000000000000000000000000..4827435cab3f194f82385b2df27cdd67d581e46e
--- /dev/null
+++ b/graphrag/graphrag/config/input_models/claim_extraction_config_input.py
@@ -0,0 +1,18 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from typing_extensions import NotRequired
+
+from .llm_config_input import LLMConfigInput
+
+
+class ClaimExtractionConfigInput(LLMConfigInput):
+    """Configuration section for claim extraction."""
+
+    enabled: NotRequired[bool | None]
+    prompt: NotRequired[str | None]
+    description: NotRequired[str | None]
+    max_gleanings: NotRequired[int | str | None]
+    strategy: NotRequired[dict | None]
diff --git a/graphrag/graphrag/config/input_models/cluster_graph_config_input.py b/graphrag/graphrag/config/input_models/cluster_graph_config_input.py
new file mode 100644
index 0000000000000000000000000000000000000000..eb6f9cd1c66c27197cd6b34b75b768690a38f9b8
--- /dev/null
+++ b/graphrag/graphrag/config/input_models/cluster_graph_config_input.py
@@ -0,0 +1,13 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from typing_extensions import NotRequired, TypedDict
+
+
+class ClusterGraphConfigInput(TypedDict):
+    """Configuration section for clustering graphs."""
+
+    max_cluster_size: NotRequired[int | None]
+    strategy: NotRequired[dict | None]
diff --git a/graphrag/graphrag/config/input_models/community_reports_config_input.py b/graphrag/graphrag/config/input_models/community_reports_config_input.py
new file mode 100644
index 0000000000000000000000000000000000000000..79ae3152e7a55e073468ec6393cda5a32973f3c8
--- /dev/null
+++ b/graphrag/graphrag/config/input_models/community_reports_config_input.py
@@ -0,0 +1,17 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from typing_extensions import NotRequired
+
+from .llm_config_input import LLMConfigInput
+
+
+class CommunityReportsConfigInput(LLMConfigInput):
+    """Configuration section for community reports."""
+
+    prompt: NotRequired[str | None]
+    max_length: NotRequired[int | str | None]
+    max_input_length: NotRequired[int | str | None]
+    strategy: NotRequired[dict | None]
diff --git a/graphrag/graphrag/config/input_models/embed_graph_config_input.py b/graphrag/graphrag/config/input_models/embed_graph_config_input.py
new file mode 100644
index 0000000000000000000000000000000000000000..f8b6ee6faf045a3124dd23dea5cda0733c4b2a84
--- /dev/null
+++ b/graphrag/graphrag/config/input_models/embed_graph_config_input.py
@@ -0,0 +1,18 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from typing_extensions import NotRequired, TypedDict
+
+
+class EmbedGraphConfigInput(TypedDict):
+    """The default configuration section for Node2Vec."""
+
+    enabled: NotRequired[bool | str | None]
+    num_walks: NotRequired[int | str | None]
+    walk_length: NotRequired[int | str | None]
+    window_size: NotRequired[int | str | None]
+    iterations: NotRequired[int | str | None]
+    random_seed: NotRequired[int | str | None]
+    strategy: NotRequired[dict | None]
diff --git a/graphrag/graphrag/config/input_models/entity_extraction_config_input.py b/graphrag/graphrag/config/input_models/entity_extraction_config_input.py
new file mode 100644
index 0000000000000000000000000000000000000000..a03cbfee1bcb8317f664db851bf82d4f4b2cb8c1
--- /dev/null
+++ b/graphrag/graphrag/config/input_models/entity_extraction_config_input.py
@@ -0,0 +1,17 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from typing_extensions import NotRequired
+
+from .llm_config_input import LLMConfigInput
+
+
+class EntityExtractionConfigInput(LLMConfigInput):
+    """Configuration section for entity extraction."""
+
+    prompt: NotRequired[str | None]
+    entity_types: NotRequired[list[str] | str | None]
+    max_gleanings: NotRequired[int | str | None]
+    strategy: NotRequired[dict | None]
diff --git a/graphrag/graphrag/config/input_models/global_search_config_input.py b/graphrag/graphrag/config/input_models/global_search_config_input.py
new file mode 100644
index 0000000000000000000000000000000000000000..e13fbbfa9e734494527d468e8f098e7b9f0ba86d
--- /dev/null
+++ b/graphrag/graphrag/config/input_models/global_search_config_input.py
@@ -0,0 +1,16 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from typing_extensions import NotRequired, TypedDict
+
+
+class GlobalSearchConfigInput(TypedDict):
+    """The default configuration section for Cache."""
+
+    max_tokens: NotRequired[int | str | None]
+    data_max_tokens: NotRequired[int | str | None]
+    map_max_tokens: NotRequired[int | str | None]
+    reduce_max_tokens: NotRequired[int | str | None]
+    concurrency: NotRequired[int | str | None]
diff --git a/graphrag/graphrag/config/input_models/graphrag_config_input.py b/graphrag/graphrag/config/input_models/graphrag_config_input.py
new file mode 100644
index 0000000000000000000000000000000000000000..7c04dea2e3949d225db9f76f3c144735b4bd98a5
--- /dev/null
+++ b/graphrag/graphrag/config/input_models/graphrag_config_input.py
@@ -0,0 +1,49 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from typing_extensions import NotRequired
+
+from .cache_config_input import CacheConfigInput
+from .chunking_config_input import ChunkingConfigInput
+from .claim_extraction_config_input import ClaimExtractionConfigInput
+from .cluster_graph_config_input import ClusterGraphConfigInput
+from .community_reports_config_input import CommunityReportsConfigInput
+from .embed_graph_config_input import EmbedGraphConfigInput
+from .entity_extraction_config_input import EntityExtractionConfigInput
+from .global_search_config_input import GlobalSearchConfigInput
+from .input_config_input import InputConfigInput
+from .llm_config_input import LLMConfigInput
+from .local_search_config_input import LocalSearchConfigInput
+from .reporting_config_input import ReportingConfigInput
+from .snapshots_config_input import SnapshotsConfigInput
+from .storage_config_input import StorageConfigInput
+from .summarize_descriptions_config_input import (
+    SummarizeDescriptionsConfigInput,
+)
+from .text_embedding_config_input import TextEmbeddingConfigInput
+from .umap_config_input import UmapConfigInput
+
+
+class GraphRagConfigInput(LLMConfigInput):
+    """Base class for the Default-Configuration parameterization settings."""
+
+    reporting: NotRequired[ReportingConfigInput | None]
+    storage: NotRequired[StorageConfigInput | None]
+    cache: NotRequired[CacheConfigInput | None]
+    input: NotRequired[InputConfigInput | None]
+    embed_graph: NotRequired[EmbedGraphConfigInput | None]
+    embeddings: NotRequired[TextEmbeddingConfigInput | None]
+    chunks: NotRequired[ChunkingConfigInput | None]
+    snapshots: NotRequired[SnapshotsConfigInput | None]
+    entity_extraction: NotRequired[EntityExtractionConfigInput | None]
+    summarize_descriptions: NotRequired[SummarizeDescriptionsConfigInput | None]
+    community_reports: NotRequired[CommunityReportsConfigInput | None]
+    claim_extraction: NotRequired[ClaimExtractionConfigInput | None]
+    cluster_graph: NotRequired[ClusterGraphConfigInput | None]
+    umap: NotRequired[UmapConfigInput | None]
+    encoding_model: NotRequired[str | None]
+    skip_workflows: NotRequired[list[str] | str | None]
+    local_search: NotRequired[LocalSearchConfigInput | None]
+    global_search: NotRequired[GlobalSearchConfigInput | None]
diff --git a/graphrag/graphrag/config/input_models/input_config_input.py b/graphrag/graphrag/config/input_models/input_config_input.py
new file mode 100644
index 0000000000000000000000000000000000000000..4ff89d2c9ae122739521e72ec19b413cef2688e0
--- /dev/null
+++ b/graphrag/graphrag/config/input_models/input_config_input.py
@@ -0,0 +1,27 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from typing_extensions import NotRequired, TypedDict
+
+from graphrag.config.enums import InputFileType, InputType
+
+
+class InputConfigInput(TypedDict):
+    """The default configuration section for Input."""
+
+    type: NotRequired[InputType | str | None]
+    file_type: NotRequired[InputFileType | str | None]
+    base_dir: NotRequired[str | None]
+    connection_string: NotRequired[str | None]
+    container_name: NotRequired[str | None]
+    file_encoding: NotRequired[str | None]
+    file_pattern: NotRequired[str | None]
+    source_column: NotRequired[str | None]
+    timestamp_column: NotRequired[str | None]
+    timestamp_format: NotRequired[str | None]
+    text_column: NotRequired[str | None]
+    title_column: NotRequired[str | None]
+    document_attribute_columns: NotRequired[list[str] | str | None]
+    storage_account_blob_url: NotRequired[str | None]
diff --git a/graphrag/graphrag/config/input_models/llm_config_input.py b/graphrag/graphrag/config/input_models/llm_config_input.py
new file mode 100644
index 0000000000000000000000000000000000000000..67231371b8a369a39ef1a418fafc5f267b15f3bd
--- /dev/null
+++ b/graphrag/graphrag/config/input_models/llm_config_input.py
@@ -0,0 +1,18 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from datashaper import AsyncType
+from typing_extensions import NotRequired, TypedDict
+
+from .llm_parameters_input import LLMParametersInput
+from .parallelization_parameters_input import ParallelizationParametersInput
+
+
+class LLMConfigInput(TypedDict):
+    """Base class for LLM-configured steps."""
+
+    llm: NotRequired[LLMParametersInput | None]
+    parallelization: NotRequired[ParallelizationParametersInput | None]
+    async_mode: NotRequired[AsyncType | str | None]
diff --git a/graphrag/graphrag/config/input_models/llm_parameters_input.py b/graphrag/graphrag/config/input_models/llm_parameters_input.py
new file mode 100644
index 0000000000000000000000000000000000000000..c89c6c0922e802453c76857efbe708ac8abcfff8
--- /dev/null
+++ b/graphrag/graphrag/config/input_models/llm_parameters_input.py
@@ -0,0 +1,31 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""LLM Parameters model."""
+
+from typing_extensions import NotRequired, TypedDict
+
+from graphrag.config.enums import LLMType
+
+
+class LLMParametersInput(TypedDict):
+    """LLM Parameters model."""
+
+    api_key: NotRequired[str | None]
+    type: NotRequired[LLMType | str | None]
+    model: NotRequired[str | None]
+    max_tokens: NotRequired[int | str | None]
+    request_timeout: NotRequired[float | str | None]
+    api_base: NotRequired[str | None]
+    api_version: NotRequired[str | None]
+    organization: NotRequired[str | None]
+    proxy: NotRequired[str | None]
+    cognitive_services_endpoint: NotRequired[str | None]
+    deployment_name: NotRequired[str | None]
+    model_supports_json: NotRequired[bool | str | None]
+    tokens_per_minute: NotRequired[int | str | None]
+    requests_per_minute: NotRequired[int | str | None]
+    max_retries: NotRequired[int | str | None]
+    max_retry_wait: NotRequired[float | str | None]
+    sleep_on_rate_limit_recommendation: NotRequired[bool | str | None]
+    concurrent_requests: NotRequired[int | str | None]
diff --git a/graphrag/graphrag/config/input_models/local_search_config_input.py b/graphrag/graphrag/config/input_models/local_search_config_input.py
new file mode 100644
index 0000000000000000000000000000000000000000..23df40102a895399cc6b9facf276b597bd8bcde7
--- /dev/null
+++ b/graphrag/graphrag/config/input_models/local_search_config_input.py
@@ -0,0 +1,18 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from typing_extensions import NotRequired, TypedDict
+
+
+class LocalSearchConfigInput(TypedDict):
+    """The default configuration section for Cache."""
+
+    text_unit_prop: NotRequired[float | str | None]
+    community_prop: NotRequired[float | str | None]
+    conversation_history_max_turns: NotRequired[int | str | None]
+    top_k_entities: NotRequired[int | str | None]
+    top_k_relationships: NotRequired[int | str | None]
+    max_tokens: NotRequired[int | str | None]
+    llm_max_tokens: NotRequired[int | str | None]
diff --git a/graphrag/graphrag/config/input_models/parallelization_parameters_input.py b/graphrag/graphrag/config/input_models/parallelization_parameters_input.py
new file mode 100644
index 0000000000000000000000000000000000000000..e9204437b2ee837a73c7618ea3978de145b0b633
--- /dev/null
+++ b/graphrag/graphrag/config/input_models/parallelization_parameters_input.py
@@ -0,0 +1,13 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""LLM Parameters model."""
+
+from typing_extensions import NotRequired, TypedDict
+
+
+class ParallelizationParametersInput(TypedDict):
+    """LLM Parameters model."""
+
+    stagger: NotRequired[float | str | None]
+    num_threads: NotRequired[int | str | None]
diff --git a/graphrag/graphrag/config/input_models/reporting_config_input.py b/graphrag/graphrag/config/input_models/reporting_config_input.py
new file mode 100644
index 0000000000000000000000000000000000000000..a224f0b4404c4375b6335c4d4cfb717f6e37f2ec
--- /dev/null
+++ b/graphrag/graphrag/config/input_models/reporting_config_input.py
@@ -0,0 +1,18 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from typing_extensions import NotRequired, TypedDict
+
+from graphrag.config.enums import ReportingType
+
+
+class ReportingConfigInput(TypedDict):
+    """The default configuration section for Reporting."""
+
+    type: NotRequired[ReportingType | str | None]
+    base_dir: NotRequired[str | None]
+    connection_string: NotRequired[str | None]
+    container_name: NotRequired[str | None]
+    storage_account_blob_url: NotRequired[str | None]
diff --git a/graphrag/graphrag/config/input_models/snapshots_config_input.py b/graphrag/graphrag/config/input_models/snapshots_config_input.py
new file mode 100644
index 0000000000000000000000000000000000000000..c20becb0716345ecdf334001c064320b2286bcd4
--- /dev/null
+++ b/graphrag/graphrag/config/input_models/snapshots_config_input.py
@@ -0,0 +1,14 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from typing_extensions import NotRequired, TypedDict
+
+
+class SnapshotsConfigInput(TypedDict):
+    """Configuration section for snapshots."""
+
+    graphml: NotRequired[bool | str | None]
+    raw_entities: NotRequired[bool | str | None]
+    top_level_nodes: NotRequired[bool | str | None]
diff --git a/graphrag/graphrag/config/input_models/storage_config_input.py b/graphrag/graphrag/config/input_models/storage_config_input.py
new file mode 100644
index 0000000000000000000000000000000000000000..cc5caf79521e896a282b8ed0a47d06e45a1c4b7e
--- /dev/null
+++ b/graphrag/graphrag/config/input_models/storage_config_input.py
@@ -0,0 +1,18 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from typing_extensions import NotRequired, TypedDict
+
+from graphrag.config.enums import StorageType
+
+
+class StorageConfigInput(TypedDict):
+    """The default configuration section for Storage."""
+
+    type: NotRequired[StorageType | str | None]
+    base_dir: NotRequired[str | None]
+    connection_string: NotRequired[str | None]
+    container_name: NotRequired[str | None]
+    storage_account_blob_url: NotRequired[str | None]
diff --git a/graphrag/graphrag/config/input_models/summarize_descriptions_config_input.py b/graphrag/graphrag/config/input_models/summarize_descriptions_config_input.py
new file mode 100644
index 0000000000000000000000000000000000000000..6ce756e5581d95ef05c62c8c698cdbd3a390d14c
--- /dev/null
+++ b/graphrag/graphrag/config/input_models/summarize_descriptions_config_input.py
@@ -0,0 +1,16 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from typing_extensions import NotRequired
+
+from .llm_config_input import LLMConfigInput
+
+
+class SummarizeDescriptionsConfigInput(LLMConfigInput):
+    """Configuration section for description summarization."""
+
+    prompt: NotRequired[str | None]
+    max_length: NotRequired[int | str | None]
+    strategy: NotRequired[dict | None]
diff --git a/graphrag/graphrag/config/input_models/text_embedding_config_input.py b/graphrag/graphrag/config/input_models/text_embedding_config_input.py
new file mode 100644
index 0000000000000000000000000000000000000000..a7e176c65813be1eb703bb829015146a5e36af64
--- /dev/null
+++ b/graphrag/graphrag/config/input_models/text_embedding_config_input.py
@@ -0,0 +1,23 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from typing_extensions import NotRequired
+
+from graphrag.config.enums import (
+    TextEmbeddingTarget,
+)
+
+from .llm_config_input import LLMConfigInput
+
+
+class TextEmbeddingConfigInput(LLMConfigInput):
+    """Configuration section for text embeddings."""
+
+    batch_size: NotRequired[int | str | None]
+    batch_max_tokens: NotRequired[int | str | None]
+    target: NotRequired[TextEmbeddingTarget | str | None]
+    skip: NotRequired[list[str] | str | None]
+    vector_store: NotRequired[dict | None]
+    strategy: NotRequired[dict | None]
diff --git a/graphrag/graphrag/config/input_models/umap_config_input.py b/graphrag/graphrag/config/input_models/umap_config_input.py
new file mode 100644
index 0000000000000000000000000000000000000000..543ca385e0470d104038fbca91ebeba4f36e6753
--- /dev/null
+++ b/graphrag/graphrag/config/input_models/umap_config_input.py
@@ -0,0 +1,12 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from typing_extensions import NotRequired, TypedDict
+
+
+class UmapConfigInput(TypedDict):
+    """Configuration section for UMAP."""
+
+    enabled: NotRequired[bool | str | None]
diff --git a/graphrag/graphrag/config/models/__init__.py b/graphrag/graphrag/config/models/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..43c4cde506305dae7068bb0267dd69436e3b571e
--- /dev/null
+++ b/graphrag/graphrag/config/models/__init__.py
@@ -0,0 +1,48 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Interfaces for Default Config parameterization."""
+
+from .cache_config import CacheConfig
+from .chunking_config import ChunkingConfig
+from .claim_extraction_config import ClaimExtractionConfig
+from .cluster_graph_config import ClusterGraphConfig
+from .community_reports_config import CommunityReportsConfig
+from .embed_graph_config import EmbedGraphConfig
+from .entity_extraction_config import EntityExtractionConfig
+from .global_search_config import GlobalSearchConfig
+from .graph_rag_config import GraphRagConfig
+from .input_config import InputConfig
+from .llm_config import LLMConfig
+from .llm_parameters import LLMParameters
+from .local_search_config import LocalSearchConfig
+from .parallelization_parameters import ParallelizationParameters
+from .reporting_config import ReportingConfig
+from .snapshots_config import SnapshotsConfig
+from .storage_config import StorageConfig
+from .summarize_descriptions_config import SummarizeDescriptionsConfig
+from .text_embedding_config import TextEmbeddingConfig
+from .umap_config import UmapConfig
+
+__all__ = [
+    "CacheConfig",
+    "ChunkingConfig",
+    "ClaimExtractionConfig",
+    "ClusterGraphConfig",
+    "CommunityReportsConfig",
+    "EmbedGraphConfig",
+    "EntityExtractionConfig",
+    "GlobalSearchConfig",
+    "GraphRagConfig",
+    "InputConfig",
+    "LLMConfig",
+    "LLMParameters",
+    "LocalSearchConfig",
+    "ParallelizationParameters",
+    "ReportingConfig",
+    "SnapshotsConfig",
+    "StorageConfig",
+    "SummarizeDescriptionsConfig",
+    "TextEmbeddingConfig",
+    "UmapConfig",
+]
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diff --git a/graphrag/graphrag/config/models/cache_config.py b/graphrag/graphrag/config/models/cache_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..4589edce0b31f34c5dd8312b0fd713f8a236222a
--- /dev/null
+++ b/graphrag/graphrag/config/models/cache_config.py
@@ -0,0 +1,29 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from pydantic import BaseModel, Field
+
+import graphrag.config.defaults as defs
+from graphrag.config.enums import CacheType
+
+
+class CacheConfig(BaseModel):
+    """The default configuration section for Cache."""
+
+    type: CacheType = Field(
+        description="The cache type to use.", default=defs.CACHE_TYPE
+    )
+    base_dir: str = Field(
+        description="The base directory for the cache.", default=defs.CACHE_BASE_DIR
+    )
+    connection_string: str | None = Field(
+        description="The cache connection string to use.", default=None
+    )
+    container_name: str | None = Field(
+        description="The cache container name to use.", default=None
+    )
+    storage_account_blob_url: str | None = Field(
+        description="The storage account blob url to use.", default=None
+    )
diff --git a/graphrag/graphrag/config/models/chunking_config.py b/graphrag/graphrag/config/models/chunking_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..ad7e3d0a9d29be588339b71f227551d9a8872327
--- /dev/null
+++ b/graphrag/graphrag/config/models/chunking_config.py
@@ -0,0 +1,36 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from pydantic import BaseModel, Field
+
+import graphrag.config.defaults as defs
+
+
+class ChunkingConfig(BaseModel):
+    """Configuration section for chunking."""
+
+    size: int = Field(description="The chunk size to use.", default=defs.CHUNK_SIZE)
+    overlap: int = Field(
+        description="The chunk overlap to use.", default=defs.CHUNK_OVERLAP
+    )
+    group_by_columns: list[str] = Field(
+        description="The chunk by columns to use.",
+        default=defs.CHUNK_GROUP_BY_COLUMNS,
+    )
+    strategy: dict | None = Field(
+        description="The chunk strategy to use, overriding the default tokenization strategy",
+        default=None,
+    )
+
+    def resolved_strategy(self) -> dict:
+        """Get the resolved chunking strategy."""
+        from graphrag.index.verbs.text.chunk import ChunkStrategyType
+
+        return self.strategy or {
+            "type": ChunkStrategyType.tokens,
+            "chunk_size": self.size,
+            "chunk_overlap": self.overlap,
+            "group_by_columns": self.group_by_columns,
+        }
diff --git a/graphrag/graphrag/config/models/claim_extraction_config.py b/graphrag/graphrag/config/models/claim_extraction_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ec465d9aea06588cc29e6cee363e40ff1eb8672
--- /dev/null
+++ b/graphrag/graphrag/config/models/claim_extraction_config.py
@@ -0,0 +1,51 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from pathlib import Path
+
+from pydantic import Field
+
+import graphrag.config.defaults as defs
+
+from .llm_config import LLMConfig
+
+
+class ClaimExtractionConfig(LLMConfig):
+    """Configuration section for claim extraction."""
+
+    enabled: bool = Field(
+        description="Whether claim extraction is enabled.",
+    )
+    prompt: str | None = Field(
+        description="The claim extraction prompt to use.", default=None
+    )
+    description: str = Field(
+        description="The claim description to use.",
+        default=defs.CLAIM_DESCRIPTION,
+    )
+    max_gleanings: int = Field(
+        description="The maximum number of entity gleanings to use.",
+        default=defs.CLAIM_MAX_GLEANINGS,
+    )
+    strategy: dict | None = Field(
+        description="The override strategy to use.", default=None
+    )
+
+    def resolved_strategy(self, root_dir: str) -> dict:
+        """Get the resolved claim extraction strategy."""
+        from graphrag.index.verbs.covariates.extract_covariates import (
+            ExtractClaimsStrategyType,
+        )
+
+        return self.strategy or {
+            "type": ExtractClaimsStrategyType.graph_intelligence,
+            "llm": self.llm.model_dump(),
+            **self.parallelization.model_dump(),
+            "extraction_prompt": (Path(root_dir) / self.prompt).read_text()
+            if self.prompt
+            else None,
+            "claim_description": self.description,
+            "max_gleanings": self.max_gleanings,
+        }
diff --git a/graphrag/graphrag/config/models/cluster_graph_config.py b/graphrag/graphrag/config/models/cluster_graph_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..3029baebcb8ad988b6eadcbc3098f34c52b87f46
--- /dev/null
+++ b/graphrag/graphrag/config/models/cluster_graph_config.py
@@ -0,0 +1,28 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from pydantic import BaseModel, Field
+
+import graphrag.config.defaults as defs
+
+
+class ClusterGraphConfig(BaseModel):
+    """Configuration section for clustering graphs."""
+
+    max_cluster_size: int = Field(
+        description="The maximum cluster size to use.", default=defs.MAX_CLUSTER_SIZE
+    )
+    strategy: dict | None = Field(
+        description="The cluster strategy to use.", default=None
+    )
+
+    def resolved_strategy(self) -> dict:
+        """Get the resolved cluster strategy."""
+        from graphrag.index.verbs.graph.clustering import GraphCommunityStrategyType
+
+        return self.strategy or {
+            "type": GraphCommunityStrategyType.leiden,
+            "max_cluster_size": self.max_cluster_size,
+        }
diff --git a/graphrag/graphrag/config/models/community_reports_config.py b/graphrag/graphrag/config/models/community_reports_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..cc2c9e8f13fd8577c54b9ae34e0828bf7f976639
--- /dev/null
+++ b/graphrag/graphrag/config/models/community_reports_config.py
@@ -0,0 +1,46 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from pathlib import Path
+
+from pydantic import Field
+
+import graphrag.config.defaults as defs
+
+from .llm_config import LLMConfig
+
+
+class CommunityReportsConfig(LLMConfig):
+    """Configuration section for community reports."""
+
+    prompt: str | None = Field(
+        description="The community report extraction prompt to use.", default=None
+    )
+    max_length: int = Field(
+        description="The community report maximum length in tokens.",
+        default=defs.COMMUNITY_REPORT_MAX_LENGTH,
+    )
+    max_input_length: int = Field(
+        description="The maximum input length in tokens to use when generating reports.",
+        default=defs.COMMUNITY_REPORT_MAX_INPUT_LENGTH,
+    )
+    strategy: dict | None = Field(
+        description="The override strategy to use.", default=None
+    )
+
+    def resolved_strategy(self, root_dir) -> dict:
+        """Get the resolved community report extraction strategy."""
+        from graphrag.index.verbs.graph.report import CreateCommunityReportsStrategyType
+
+        return self.strategy or {
+            "type": CreateCommunityReportsStrategyType.graph_intelligence,
+            "llm": self.llm.model_dump(),
+            **self.parallelization.model_dump(),
+            "extraction_prompt": (Path(root_dir) / self.prompt).read_text()
+            if self.prompt
+            else None,
+            "max_report_length": self.max_length,
+            "max_input_length": self.max_input_length,
+        }
diff --git a/graphrag/graphrag/config/models/embed_graph_config.py b/graphrag/graphrag/config/models/embed_graph_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..8b7677ab10120e314176789a39d94338457164d4
--- /dev/null
+++ b/graphrag/graphrag/config/models/embed_graph_config.py
@@ -0,0 +1,48 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from pydantic import BaseModel, Field
+
+import graphrag.config.defaults as defs
+
+
+class EmbedGraphConfig(BaseModel):
+    """The default configuration section for Node2Vec."""
+
+    enabled: bool = Field(
+        description="A flag indicating whether to enable node2vec.",
+        default=defs.NODE2VEC_ENABLED,
+    )
+    num_walks: int = Field(
+        description="The node2vec number of walks.", default=defs.NODE2VEC_NUM_WALKS
+    )
+    walk_length: int = Field(
+        description="The node2vec walk length.", default=defs.NODE2VEC_WALK_LENGTH
+    )
+    window_size: int = Field(
+        description="The node2vec window size.", default=defs.NODE2VEC_WINDOW_SIZE
+    )
+    iterations: int = Field(
+        description="The node2vec iterations.", default=defs.NODE2VEC_ITERATIONS
+    )
+    random_seed: int = Field(
+        description="The node2vec random seed.", default=defs.NODE2VEC_RANDOM_SEED
+    )
+    strategy: dict | None = Field(
+        description="The graph embedding strategy override.", default=None
+    )
+
+    def resolved_strategy(self) -> dict:
+        """Get the resolved node2vec strategy."""
+        from graphrag.index.verbs.graph.embed import EmbedGraphStrategyType
+
+        return self.strategy or {
+            "type": EmbedGraphStrategyType.node2vec,
+            "num_walks": self.num_walks,
+            "walk_length": self.walk_length,
+            "window_size": self.window_size,
+            "iterations": self.iterations,
+            "random_seed": self.iterations,
+        }
diff --git a/graphrag/graphrag/config/models/entity_extraction_config.py b/graphrag/graphrag/config/models/entity_extraction_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..ae4d4c56110848c12007e6f77d613ba186e38233
--- /dev/null
+++ b/graphrag/graphrag/config/models/entity_extraction_config.py
@@ -0,0 +1,48 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from pathlib import Path
+
+from pydantic import Field
+
+import graphrag.config.defaults as defs
+
+from .llm_config import LLMConfig
+
+
+class EntityExtractionConfig(LLMConfig):
+    """Configuration section for entity extraction."""
+
+    prompt: str | None = Field(
+        description="The entity extraction prompt to use.", default=None
+    )
+    entity_types: list[str] = Field(
+        description="The entity extraction entity types to use.",
+        default=defs.ENTITY_EXTRACTION_ENTITY_TYPES,
+    )
+    max_gleanings: int = Field(
+        description="The maximum number of entity gleanings to use.",
+        default=defs.ENTITY_EXTRACTION_MAX_GLEANINGS,
+    )
+    strategy: dict | None = Field(
+        description="Override the default entity extraction strategy", default=None
+    )
+
+    def resolved_strategy(self, root_dir: str, encoding_model: str) -> dict:
+        """Get the resolved entity extraction strategy."""
+        from graphrag.index.verbs.entities.extraction import ExtractEntityStrategyType
+
+        return self.strategy or {
+            "type": ExtractEntityStrategyType.graph_intelligence,
+            "llm": self.llm.model_dump(),
+            **self.parallelization.model_dump(),
+            "extraction_prompt": (Path(root_dir) / self.prompt).read_text()
+            if self.prompt
+            else None,
+            "max_gleanings": self.max_gleanings,
+            # It's prechunked in create_base_text_units
+            "encoding_name": encoding_model,
+            "prechunked": True,
+        }
diff --git a/graphrag/graphrag/config/models/global_search_config.py b/graphrag/graphrag/config/models/global_search_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..9eb388c37369726340fd1890e16d780e62bfb150
--- /dev/null
+++ b/graphrag/graphrag/config/models/global_search_config.py
@@ -0,0 +1,45 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from pydantic import BaseModel, Field
+
+import graphrag.config.defaults as defs
+
+
+class GlobalSearchConfig(BaseModel):
+    """The default configuration section for Cache."""
+
+    temperature: float | None = Field(
+        description="The temperature to use for token generation.",
+        default=defs.GLOBAL_SEARCH_LLM_TEMPERATURE,
+    )
+    top_p: float | None = Field(
+        description="The top-p value to use for token generation.",
+        default=defs.GLOBAL_SEARCH_LLM_TOP_P,
+    )
+    n: int | None = Field(
+        description="The number of completions to generate.",
+        default=defs.GLOBAL_SEARCH_LLM_N,
+    )
+    max_tokens: int = Field(
+        description="The maximum context size in tokens.",
+        default=defs.GLOBAL_SEARCH_MAX_TOKENS,
+    )
+    data_max_tokens: int = Field(
+        description="The data llm maximum tokens.",
+        default=defs.GLOBAL_SEARCH_DATA_MAX_TOKENS,
+    )
+    map_max_tokens: int = Field(
+        description="The map llm maximum tokens.",
+        default=defs.GLOBAL_SEARCH_MAP_MAX_TOKENS,
+    )
+    reduce_max_tokens: int = Field(
+        description="The reduce llm maximum tokens.",
+        default=defs.GLOBAL_SEARCH_REDUCE_MAX_TOKENS,
+    )
+    concurrency: int = Field(
+        description="The number of concurrent requests.",
+        default=defs.GLOBAL_SEARCH_CONCURRENCY,
+    )
diff --git a/graphrag/graphrag/config/models/graph_rag_config.py b/graphrag/graphrag/config/models/graph_rag_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..197d85e3e986e9e52186201b4ec366af3cbb4c10
--- /dev/null
+++ b/graphrag/graphrag/config/models/graph_rag_config.py
@@ -0,0 +1,146 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from devtools import pformat
+from pydantic import Field
+
+import graphrag.config.defaults as defs
+
+from .cache_config import CacheConfig
+from .chunking_config import ChunkingConfig
+from .claim_extraction_config import ClaimExtractionConfig
+from .cluster_graph_config import ClusterGraphConfig
+from .community_reports_config import CommunityReportsConfig
+from .embed_graph_config import EmbedGraphConfig
+from .entity_extraction_config import EntityExtractionConfig
+from .global_search_config import GlobalSearchConfig
+from .input_config import InputConfig
+from .llm_config import LLMConfig
+from .local_search_config import LocalSearchConfig
+from .reporting_config import ReportingConfig
+from .snapshots_config import SnapshotsConfig
+from .storage_config import StorageConfig
+from .summarize_descriptions_config import (
+    SummarizeDescriptionsConfig,
+)
+from .text_embedding_config import TextEmbeddingConfig
+from .umap_config import UmapConfig
+
+
+class GraphRagConfig(LLMConfig):
+    """Base class for the Default-Configuration parameterization settings."""
+
+    def __repr__(self) -> str:
+        """Get a string representation."""
+        return pformat(self, highlight=False)
+
+    def __str__(self):
+        """Get a string representation."""
+        return self.model_dump_json(indent=4)
+
+    root_dir: str = Field(
+        description="The root directory for the configuration.", default=None
+    )
+
+    reporting: ReportingConfig = Field(
+        description="The reporting configuration.", default=ReportingConfig()
+    )
+    """The reporting configuration."""
+
+    storage: StorageConfig = Field(
+        description="The storage configuration.", default=StorageConfig()
+    )
+    """The storage configuration."""
+
+    cache: CacheConfig = Field(
+        description="The cache configuration.", default=CacheConfig()
+    )
+    """The cache configuration."""
+
+    input: InputConfig = Field(
+        description="The input configuration.", default=InputConfig()
+    )
+    """The input configuration."""
+
+    embed_graph: EmbedGraphConfig = Field(
+        description="Graph embedding configuration.",
+        default=EmbedGraphConfig(),
+    )
+    """Graph Embedding configuration."""
+
+    embeddings: TextEmbeddingConfig = Field(
+        description="The embeddings LLM configuration to use.",
+        default=TextEmbeddingConfig(),
+    )
+    """The embeddings LLM configuration to use."""
+
+    chunks: ChunkingConfig = Field(
+        description="The chunking configuration to use.",
+        default=ChunkingConfig(),
+    )
+    """The chunking configuration to use."""
+
+    snapshots: SnapshotsConfig = Field(
+        description="The snapshots configuration to use.",
+        default=SnapshotsConfig(),
+    )
+    """The snapshots configuration to use."""
+
+    entity_extraction: EntityExtractionConfig = Field(
+        description="The entity extraction configuration to use.",
+        default=EntityExtractionConfig(),
+    )
+    """The entity extraction configuration to use."""
+
+    summarize_descriptions: SummarizeDescriptionsConfig = Field(
+        description="The description summarization configuration to use.",
+        default=SummarizeDescriptionsConfig(),
+    )
+    """The description summarization configuration to use."""
+
+    community_reports: CommunityReportsConfig = Field(
+        description="The community reports configuration to use.",
+        default=CommunityReportsConfig(),
+    )
+    """The community reports configuration to use."""
+
+    claim_extraction: ClaimExtractionConfig = Field(
+        description="The claim extraction configuration to use.",
+        default=ClaimExtractionConfig(
+            enabled=defs.CLAIM_EXTRACTION_ENABLED,
+        ),
+    )
+    """The claim extraction configuration to use."""
+
+    cluster_graph: ClusterGraphConfig = Field(
+        description="The cluster graph configuration to use.",
+        default=ClusterGraphConfig(),
+    )
+    """The cluster graph configuration to use."""
+
+    umap: UmapConfig = Field(
+        description="The UMAP configuration to use.", default=UmapConfig()
+    )
+    """The UMAP configuration to use."""
+
+    local_search: LocalSearchConfig = Field(
+        description="The local search configuration.", default=LocalSearchConfig()
+    )
+    """The local search configuration."""
+
+    global_search: GlobalSearchConfig = Field(
+        description="The global search configuration.", default=GlobalSearchConfig()
+    )
+    """The global search configuration."""
+
+    encoding_model: str = Field(
+        description="The encoding model to use.", default=defs.ENCODING_MODEL
+    )
+    """The encoding model to use."""
+
+    skip_workflows: list[str] = Field(
+        description="The workflows to skip, usually for testing reasons.", default=[]
+    )
+    """The workflows to skip, usually for testing reasons."""
diff --git a/graphrag/graphrag/config/models/input_config.py b/graphrag/graphrag/config/models/input_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..f9e5847af61000c3bf140e488c131825e5ddc3c0
--- /dev/null
+++ b/graphrag/graphrag/config/models/input_config.py
@@ -0,0 +1,60 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from pydantic import BaseModel, Field
+
+import graphrag.config.defaults as defs
+from graphrag.config.enums import InputFileType, InputType
+
+
+class InputConfig(BaseModel):
+    """The default configuration section for Input."""
+
+    type: InputType = Field(
+        description="The input type to use.", default=defs.INPUT_TYPE
+    )
+    file_type: InputFileType = Field(
+        description="The input file type to use.", default=defs.INPUT_FILE_TYPE
+    )
+    base_dir: str = Field(
+        description="The input base directory to use.", default=defs.INPUT_BASE_DIR
+    )
+    connection_string: str | None = Field(
+        description="The azure blob storage connection string to use.", default=None
+    )
+    storage_account_blob_url: str | None = Field(
+        description="The storage account blob url to use.", default=None
+    )
+    container_name: str | None = Field(
+        description="The azure blob storage container name to use.", default=None
+    )
+    encoding: str | None = Field(
+        description="The input file encoding to use.",
+        default=defs.INPUT_FILE_ENCODING,
+    )
+    file_pattern: str = Field(
+        description="The input file pattern to use.", default=defs.INPUT_TEXT_PATTERN
+    )
+    file_filter: dict[str, str] | None = Field(
+        description="The optional file filter for the input files.", default=None
+    )
+    source_column: str | None = Field(
+        description="The input source column to use.", default=None
+    )
+    timestamp_column: str | None = Field(
+        description="The input timestamp column to use.", default=None
+    )
+    timestamp_format: str | None = Field(
+        description="The input timestamp format to use.", default=None
+    )
+    text_column: str = Field(
+        description="The input text column to use.", default=defs.INPUT_TEXT_COLUMN
+    )
+    title_column: str | None = Field(
+        description="The input title column to use.", default=None
+    )
+    document_attribute_columns: list[str] = Field(
+        description="The document attribute columns to use.", default=[]
+    )
diff --git a/graphrag/graphrag/config/models/llm_config.py b/graphrag/graphrag/config/models/llm_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..62c193b0c5402315979ba1d7869bfed5a0e14164
--- /dev/null
+++ b/graphrag/graphrag/config/models/llm_config.py
@@ -0,0 +1,27 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from datashaper import AsyncType
+from pydantic import BaseModel, Field
+
+import graphrag.config.defaults as defs
+
+from .llm_parameters import LLMParameters
+from .parallelization_parameters import ParallelizationParameters
+
+
+class LLMConfig(BaseModel):
+    """Base class for LLM-configured steps."""
+
+    llm: LLMParameters = Field(
+        description="The LLM configuration to use.", default=LLMParameters()
+    )
+    parallelization: ParallelizationParameters = Field(
+        description="The parallelization configuration to use.",
+        default=ParallelizationParameters(),
+    )
+    async_mode: AsyncType = Field(
+        description="The async mode to use.", default=defs.ASYNC_MODE
+    )
diff --git a/graphrag/graphrag/config/models/llm_parameters.py b/graphrag/graphrag/config/models/llm_parameters.py
new file mode 100644
index 0000000000000000000000000000000000000000..df81138a2f860809ad60b7875e0b26e695caadd4
--- /dev/null
+++ b/graphrag/graphrag/config/models/llm_parameters.py
@@ -0,0 +1,87 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""LLM Parameters model."""
+
+from pydantic import BaseModel, ConfigDict, Field
+
+import graphrag.config.defaults as defs
+from graphrag.config.enums import LLMType
+
+
+class LLMParameters(BaseModel):
+    """LLM Parameters model."""
+
+    model_config = ConfigDict(protected_namespaces=(), extra="allow")
+    api_key: str | None = Field(
+        description="The API key to use for the LLM service.",
+        default=None,
+    )
+    type: LLMType = Field(
+        description="The type of LLM model to use.", default=defs.LLM_TYPE
+    )
+    model: str = Field(description="The LLM model to use.", default=defs.LLM_MODEL)
+    max_tokens: int | None = Field(
+        description="The maximum number of tokens to generate.",
+        default=defs.LLM_MAX_TOKENS,
+    )
+    temperature: float | None = Field(
+        description="The temperature to use for token generation.",
+        default=defs.LLM_TEMPERATURE,
+    )
+    top_p: float | None = Field(
+        description="The top-p value to use for token generation.",
+        default=defs.LLM_TOP_P,
+    )
+    n: int | None = Field(
+        description="The number of completions to generate.",
+        default=defs.LLM_N,
+    )
+    request_timeout: float = Field(
+        description="The request timeout to use.", default=defs.LLM_REQUEST_TIMEOUT
+    )
+    api_base: str | None = Field(
+        description="The base URL for the LLM API.", default=None
+    )
+    api_version: str | None = Field(
+        description="The version of the LLM API to use.", default=None
+    )
+    organization: str | None = Field(
+        description="The organization to use for the LLM service.", default=None
+    )
+    proxy: str | None = Field(
+        description="The proxy to use for the LLM service.", default=None
+    )
+    cognitive_services_endpoint: str | None = Field(
+        description="The endpoint to reach cognitives services.", default=None
+    )
+    deployment_name: str | None = Field(
+        description="The deployment name to use for the LLM service.", default=None
+    )
+    model_supports_json: bool | None = Field(
+        description="Whether the model supports JSON output mode.", default=None
+    )
+    tokens_per_minute: int = Field(
+        description="The number of tokens per minute to use for the LLM service.",
+        default=defs.LLM_TOKENS_PER_MINUTE,
+    )
+    requests_per_minute: int = Field(
+        description="The number of requests per minute to use for the LLM service.",
+        default=defs.LLM_REQUESTS_PER_MINUTE,
+    )
+    max_retries: int = Field(
+        description="The maximum number of retries to use for the LLM service.",
+        default=defs.LLM_MAX_RETRIES,
+    )
+    max_retry_wait: float = Field(
+        description="The maximum retry wait to use for the LLM service.",
+        default=defs.LLM_MAX_RETRY_WAIT,
+    )
+    sleep_on_rate_limit_recommendation: bool = Field(
+        description="Whether to sleep on rate limit recommendations.",
+        default=defs.LLM_SLEEP_ON_RATE_LIMIT_RECOMMENDATION,
+    )
+    concurrent_requests: int = Field(
+        description="Whether to use concurrent requests for the LLM service.",
+        default=defs.LLM_CONCURRENT_REQUESTS,
+    )
diff --git a/graphrag/graphrag/config/models/local_search_config.py b/graphrag/graphrag/config/models/local_search_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..c41344daefaa2c63e22b9c0d73f9fbb25a8ad86d
--- /dev/null
+++ b/graphrag/graphrag/config/models/local_search_config.py
@@ -0,0 +1,51 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from pydantic import BaseModel, Field
+
+import graphrag.config.defaults as defs
+
+
+class LocalSearchConfig(BaseModel):
+    """The default configuration section for Cache."""
+
+    text_unit_prop: float = Field(
+        description="The text unit proportion.",
+        default=defs.LOCAL_SEARCH_TEXT_UNIT_PROP,
+    )
+    community_prop: float = Field(
+        description="The community proportion.",
+        default=defs.LOCAL_SEARCH_COMMUNITY_PROP,
+    )
+    conversation_history_max_turns: int = Field(
+        description="The conversation history maximum turns.",
+        default=defs.LOCAL_SEARCH_CONVERSATION_HISTORY_MAX_TURNS,
+    )
+    top_k_entities: int = Field(
+        description="The top k mapped entities.",
+        default=defs.LOCAL_SEARCH_TOP_K_MAPPED_ENTITIES,
+    )
+    top_k_relationships: int = Field(
+        description="The top k mapped relations.",
+        default=defs.LOCAL_SEARCH_TOP_K_RELATIONSHIPS,
+    )
+    temperature: float | None = Field(
+        description="The temperature to use for token generation.",
+        default=defs.LOCAL_SEARCH_LLM_TEMPERATURE,
+    )
+    top_p: float | None = Field(
+        description="The top-p value to use for token generation.",
+        default=defs.LOCAL_SEARCH_LLM_TOP_P,
+    )
+    n: int | None = Field(
+        description="The number of completions to generate.",
+        default=defs.LOCAL_SEARCH_LLM_N,
+    )
+    max_tokens: int = Field(
+        description="The maximum tokens.", default=defs.LOCAL_SEARCH_MAX_TOKENS
+    )
+    llm_max_tokens: int = Field(
+        description="The LLM maximum tokens.", default=defs.LOCAL_SEARCH_LLM_MAX_TOKENS
+    )
diff --git a/graphrag/graphrag/config/models/parallelization_parameters.py b/graphrag/graphrag/config/models/parallelization_parameters.py
new file mode 100644
index 0000000000000000000000000000000000000000..80a85b863965f15e398735775c1b483b32ba113f
--- /dev/null
+++ b/graphrag/graphrag/config/models/parallelization_parameters.py
@@ -0,0 +1,21 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""LLM Parameters model."""
+
+from pydantic import BaseModel, Field
+
+import graphrag.config.defaults as defs
+
+
+class ParallelizationParameters(BaseModel):
+    """LLM Parameters model."""
+
+    stagger: float = Field(
+        description="The stagger to use for the LLM service.",
+        default=defs.PARALLELIZATION_STAGGER,
+    )
+    num_threads: int = Field(
+        description="The number of threads to use for the LLM service.",
+        default=defs.PARALLELIZATION_NUM_THREADS,
+    )
diff --git a/graphrag/graphrag/config/models/reporting_config.py b/graphrag/graphrag/config/models/reporting_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..35e86cf5dae182c2231b43d889794c3fdc7d65f8
--- /dev/null
+++ b/graphrag/graphrag/config/models/reporting_config.py
@@ -0,0 +1,30 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from pydantic import BaseModel, Field
+
+import graphrag.config.defaults as defs
+from graphrag.config.enums import ReportingType
+
+
+class ReportingConfig(BaseModel):
+    """The default configuration section for Reporting."""
+
+    type: ReportingType = Field(
+        description="The reporting type to use.", default=defs.REPORTING_TYPE
+    )
+    base_dir: str = Field(
+        description="The base directory for reporting.",
+        default=defs.REPORTING_BASE_DIR,
+    )
+    connection_string: str | None = Field(
+        description="The reporting connection string to use.", default=None
+    )
+    container_name: str | None = Field(
+        description="The reporting container name to use.", default=None
+    )
+    storage_account_blob_url: str | None = Field(
+        description="The storage account blob url to use.", default=None
+    )
diff --git a/graphrag/graphrag/config/models/snapshots_config.py b/graphrag/graphrag/config/models/snapshots_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..08293fb7a762d8d0a31b66b7d9129a79557fc26f
--- /dev/null
+++ b/graphrag/graphrag/config/models/snapshots_config.py
@@ -0,0 +1,25 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from pydantic import BaseModel, Field
+
+import graphrag.config.defaults as defs
+
+
+class SnapshotsConfig(BaseModel):
+    """Configuration section for snapshots."""
+
+    graphml: bool = Field(
+        description="A flag indicating whether to take snapshots of GraphML.",
+        default=defs.SNAPSHOTS_GRAPHML,
+    )
+    raw_entities: bool = Field(
+        description="A flag indicating whether to take snapshots of raw entities.",
+        default=defs.SNAPSHOTS_RAW_ENTITIES,
+    )
+    top_level_nodes: bool = Field(
+        description="A flag indicating whether to take snapshots of top-level nodes.",
+        default=defs.SNAPSHOTS_TOP_LEVEL_NODES,
+    )
diff --git a/graphrag/graphrag/config/models/storage_config.py b/graphrag/graphrag/config/models/storage_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..dcf41b92223a23959def5e7d925bd88e30cc314e
--- /dev/null
+++ b/graphrag/graphrag/config/models/storage_config.py
@@ -0,0 +1,30 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from pydantic import BaseModel, Field
+
+import graphrag.config.defaults as defs
+from graphrag.config.enums import StorageType
+
+
+class StorageConfig(BaseModel):
+    """The default configuration section for Storage."""
+
+    type: StorageType = Field(
+        description="The storage type to use.", default=defs.STORAGE_TYPE
+    )
+    base_dir: str = Field(
+        description="The base directory for the storage.",
+        default=defs.STORAGE_BASE_DIR,
+    )
+    connection_string: str | None = Field(
+        description="The storage connection string to use.", default=None
+    )
+    container_name: str | None = Field(
+        description="The storage container name to use.", default=None
+    )
+    storage_account_blob_url: str | None = Field(
+        description="The storage account blob url to use.", default=None
+    )
diff --git a/graphrag/graphrag/config/models/summarize_descriptions_config.py b/graphrag/graphrag/config/models/summarize_descriptions_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..39aa93e218cb2aa5ade28f612e80c2df12668b9d
--- /dev/null
+++ b/graphrag/graphrag/config/models/summarize_descriptions_config.py
@@ -0,0 +1,41 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from pathlib import Path
+
+from pydantic import Field
+
+import graphrag.config.defaults as defs
+
+from .llm_config import LLMConfig
+
+
+class SummarizeDescriptionsConfig(LLMConfig):
+    """Configuration section for description summarization."""
+
+    prompt: str | None = Field(
+        description="The description summarization prompt to use.", default=None
+    )
+    max_length: int = Field(
+        description="The description summarization maximum length.",
+        default=defs.SUMMARIZE_DESCRIPTIONS_MAX_LENGTH,
+    )
+    strategy: dict | None = Field(
+        description="The override strategy to use.", default=None
+    )
+
+    def resolved_strategy(self, root_dir: str) -> dict:
+        """Get the resolved description summarization strategy."""
+        from graphrag.index.verbs.entities.summarize import SummarizeStrategyType
+
+        return self.strategy or {
+            "type": SummarizeStrategyType.graph_intelligence,
+            "llm": self.llm.model_dump(),
+            **self.parallelization.model_dump(),
+            "summarize_prompt": (Path(root_dir) / self.prompt).read_text()
+            if self.prompt
+            else None,
+            "max_summary_length": self.max_length,
+        }
diff --git a/graphrag/graphrag/config/models/text_embedding_config.py b/graphrag/graphrag/config/models/text_embedding_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..5c2fcdb86e6c7dcc250b49da0a077a976b1dae0e
--- /dev/null
+++ b/graphrag/graphrag/config/models/text_embedding_config.py
@@ -0,0 +1,46 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from pydantic import Field
+
+import graphrag.config.defaults as defs
+from graphrag.config.enums import TextEmbeddingTarget
+
+from .llm_config import LLMConfig
+
+
+class TextEmbeddingConfig(LLMConfig):
+    """Configuration section for text embeddings."""
+
+    batch_size: int = Field(
+        description="The batch size to use.", default=defs.EMBEDDING_BATCH_SIZE
+    )
+    batch_max_tokens: int = Field(
+        description="The batch max tokens to use.",
+        default=defs.EMBEDDING_BATCH_MAX_TOKENS,
+    )
+    target: TextEmbeddingTarget = Field(
+        description="The target to use. 'all' or 'required'.",
+        default=defs.EMBEDDING_TARGET,
+    )
+    skip: list[str] = Field(description="The specific embeddings to skip.", default=[])
+    vector_store: dict | None = Field(
+        description="The vector storage configuration", default=None
+    )
+    strategy: dict | None = Field(
+        description="The override strategy to use.", default=None
+    )
+
+    def resolved_strategy(self) -> dict:
+        """Get the resolved text embedding strategy."""
+        from graphrag.index.verbs.text.embed import TextEmbedStrategyType
+
+        return self.strategy or {
+            "type": TextEmbedStrategyType.openai,
+            "llm": self.llm.model_dump(),
+            **self.parallelization.model_dump(),
+            "batch_size": self.batch_size,
+            "batch_max_tokens": self.batch_max_tokens,
+        }
diff --git a/graphrag/graphrag/config/models/umap_config.py b/graphrag/graphrag/config/models/umap_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..1d9bd93ead7ad5ac9baea6ab4a33d28934124700
--- /dev/null
+++ b/graphrag/graphrag/config/models/umap_config.py
@@ -0,0 +1,17 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Parameterization settings for the default configuration."""
+
+from pydantic import BaseModel, Field
+
+import graphrag.config.defaults as defs
+
+
+class UmapConfig(BaseModel):
+    """Configuration section for UMAP."""
+
+    enabled: bool = Field(
+        description="A flag indicating whether to enable UMAP.",
+        default=defs.UMAP_ENABLED,
+    )
diff --git a/graphrag/graphrag/config/read_dotenv.py b/graphrag/graphrag/config/read_dotenv.py
new file mode 100644
index 0000000000000000000000000000000000000000..7e041757b37388af2a8b81474eab47371dd8173c
--- /dev/null
+++ b/graphrag/graphrag/config/read_dotenv.py
@@ -0,0 +1,25 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing the read_dotenv utility."""
+
+import logging
+import os
+from pathlib import Path
+
+from dotenv import dotenv_values
+
+log = logging.getLogger(__name__)
+
+
+def read_dotenv(root: str) -> None:
+    """Read a .env file in the given root path."""
+    env_path = Path(root) / ".env"
+    if env_path.exists():
+        log.info("Loading pipeline .env file")
+        env_config = dotenv_values(f"{env_path}")
+        for key, value in env_config.items():
+            if key not in os.environ:
+                os.environ[key] = value or ""
+    else:
+        log.info("No .env file found at %s", root)
diff --git a/graphrag/graphrag/index/__init__.py b/graphrag/graphrag/index/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..c97c290a94f29267e8249252a2b197d45eb1e8ac
--- /dev/null
+++ b/graphrag/graphrag/index/__init__.py
@@ -0,0 +1,78 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine package root."""
+
+from .cache import PipelineCache
+from .config import (
+    PipelineBlobCacheConfig,
+    PipelineBlobReportingConfig,
+    PipelineBlobStorageConfig,
+    PipelineCacheConfig,
+    PipelineCacheConfigTypes,
+    PipelineConfig,
+    PipelineConsoleReportingConfig,
+    PipelineCSVInputConfig,
+    PipelineFileCacheConfig,
+    PipelineFileReportingConfig,
+    PipelineFileStorageConfig,
+    PipelineInputConfig,
+    PipelineInputConfigTypes,
+    PipelineMemoryCacheConfig,
+    PipelineMemoryStorageConfig,
+    PipelineNoneCacheConfig,
+    PipelineReportingConfig,
+    PipelineReportingConfigTypes,
+    PipelineStorageConfig,
+    PipelineStorageConfigTypes,
+    PipelineTextInputConfig,
+    PipelineWorkflowConfig,
+    PipelineWorkflowReference,
+    PipelineWorkflowStep,
+)
+from .create_pipeline_config import create_pipeline_config
+from .errors import (
+    NoWorkflowsDefinedError,
+    UndefinedWorkflowError,
+    UnknownWorkflowError,
+)
+from .load_pipeline_config import load_pipeline_config
+from .run import run_pipeline, run_pipeline_with_config
+from .storage import PipelineStorage
+
+__all__ = [
+    "NoWorkflowsDefinedError",
+    "PipelineBlobCacheConfig",
+    "PipelineBlobCacheConfig",
+    "PipelineBlobReportingConfig",
+    "PipelineBlobStorageConfig",
+    "PipelineCSVInputConfig",
+    "PipelineCache",
+    "PipelineCacheConfig",
+    "PipelineCacheConfigTypes",
+    "PipelineConfig",
+    "PipelineConsoleReportingConfig",
+    "PipelineFileCacheConfig",
+    "PipelineFileReportingConfig",
+    "PipelineFileStorageConfig",
+    "PipelineInputConfig",
+    "PipelineInputConfigTypes",
+    "PipelineMemoryCacheConfig",
+    "PipelineMemoryStorageConfig",
+    "PipelineNoneCacheConfig",
+    "PipelineReportingConfig",
+    "PipelineReportingConfigTypes",
+    "PipelineStorage",
+    "PipelineStorageConfig",
+    "PipelineStorageConfigTypes",
+    "PipelineTextInputConfig",
+    "PipelineWorkflowConfig",
+    "PipelineWorkflowReference",
+    "PipelineWorkflowStep",
+    "UndefinedWorkflowError",
+    "UnknownWorkflowError",
+    "create_pipeline_config",
+    "load_pipeline_config",
+    "run_pipeline",
+    "run_pipeline_with_config",
+]
diff --git a/graphrag/graphrag/index/__main__.py b/graphrag/graphrag/index/__main__.py
new file mode 100644
index 0000000000000000000000000000000000000000..578ffc9c3377c0830db9ee32c0af686782774639
--- /dev/null
+++ b/graphrag/graphrag/index/__main__.py
@@ -0,0 +1,89 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine package root."""
+
+import argparse
+
+from .cli import index_cli
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--config",
+        help="The configuration yaml file to use when running the pipeline",
+        required=False,
+        type=str,
+    )
+    parser.add_argument(
+        "-v",
+        "--verbose",
+        help="Runs the pipeline with verbose logging",
+        action="store_true",
+    )
+    parser.add_argument(
+        "--memprofile",
+        help="Runs the pipeline with memory profiling",
+        action="store_true",
+    )
+    parser.add_argument(
+        "--root",
+        help="If no configuration is defined, the root directory to use for input data and output data. Default value: the current directory",
+        # Only required if config is not defined
+        required=False,
+        default=".",
+        type=str,
+    )
+    parser.add_argument(
+        "--resume",
+        help="Resume a given data run leveraging Parquet output files.",
+        # Only required if config is not defined
+        required=False,
+        default=None,
+        type=str,
+    )
+    parser.add_argument(
+        "--reporter",
+        help="The progress reporter to use. Valid values are 'rich', 'print', or 'none'",
+        type=str,
+    )
+    parser.add_argument(
+        "--emit",
+        help="The data formats to emit, comma-separated. Valid values are 'parquet' and 'csv'. default='parquet,csv'",
+        type=str,
+    )
+    parser.add_argument(
+        "--dryrun",
+        help="Run the pipeline without actually executing any steps and inspect the configuration.",
+        action="store_true",
+    )
+    parser.add_argument("--nocache", help="Disable LLM cache.", action="store_true")
+    parser.add_argument(
+        "--init",
+        help="Create an initial configuration in the given path.",
+        action="store_true",
+    )
+    parser.add_argument(
+        "--overlay-defaults",
+        help="Overlay default configuration values on a provided configuration file (--config).",
+        action="store_true",
+    )
+    args = parser.parse_args()
+
+    if args.overlay_defaults and not args.config:
+        parser.error("--overlay-defaults requires --config")
+
+    index_cli(
+        root=args.root,
+        verbose=args.verbose or False,
+        resume=args.resume,
+        memprofile=args.memprofile or False,
+        nocache=args.nocache or False,
+        reporter=args.reporter,
+        config=args.config,
+        emit=args.emit,
+        dryrun=args.dryrun or False,
+        init=args.init or False,
+        overlay_defaults=args.overlay_defaults or False,
+        cli=True,
+    )
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diff --git a/graphrag/graphrag/index/bootstrap.py b/graphrag/graphrag/index/bootstrap.py
new file mode 100644
index 0000000000000000000000000000000000000000..398ec88b208ce61c3282fee1ceb8dda15b1b9637
--- /dev/null
+++ b/graphrag/graphrag/index/bootstrap.py
@@ -0,0 +1,28 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Bootstrap definition."""
+
+import warnings
+
+# Ignore warnings from numba
+warnings.filterwarnings("ignore", message=".*The 'nopython' keyword.*")
+warnings.filterwarnings("ignore", message=".*Use no seed for parallelism.*")
+
+initialized_nltk = False
+
+
+def bootstrap():
+    """Bootstrap definition."""
+    global initialized_nltk
+    if not initialized_nltk:
+        import nltk
+        from nltk.corpus import wordnet as wn
+
+        nltk.download("punkt")
+        nltk.download("averaged_perceptron_tagger")
+        nltk.download("maxent_ne_chunker")
+        nltk.download("words")
+        nltk.download("wordnet")
+        wn.ensure_loaded()
+        initialized_nltk = True
diff --git a/graphrag/graphrag/index/cache/__init__.py b/graphrag/graphrag/index/cache/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..42ebb2299465f5d5fffc348b2653bb3db0a7ef65
--- /dev/null
+++ b/graphrag/graphrag/index/cache/__init__.py
@@ -0,0 +1,18 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine cache package root."""
+
+from .json_pipeline_cache import JsonPipelineCache
+from .load_cache import load_cache
+from .memory_pipeline_cache import InMemoryCache
+from .noop_pipeline_cache import NoopPipelineCache
+from .pipeline_cache import PipelineCache
+
+__all__ = [
+    "InMemoryCache",
+    "JsonPipelineCache",
+    "NoopPipelineCache",
+    "PipelineCache",
+    "load_cache",
+]
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diff --git a/graphrag/graphrag/index/cache/__pycache__/pipeline_cache.cpython-310.pyc b/graphrag/graphrag/index/cache/__pycache__/pipeline_cache.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..1bd972548b95b1dea00c1f59b9748411327c0ba3
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diff --git a/graphrag/graphrag/index/cache/json_pipeline_cache.py b/graphrag/graphrag/index/cache/json_pipeline_cache.py
new file mode 100644
index 0000000000000000000000000000000000000000..b88a38990cfa1de1abbc7dcf4385e6ed1193ab98
--- /dev/null
+++ b/graphrag/graphrag/index/cache/json_pipeline_cache.py
@@ -0,0 +1,64 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'FilePipelineCache' model."""
+
+import json
+from typing import Any
+
+from graphrag.index.storage import PipelineStorage
+
+from .pipeline_cache import PipelineCache
+
+
+class JsonPipelineCache(PipelineCache):
+    """File pipeline cache class definition."""
+
+    _storage: PipelineStorage
+    _encoding: str
+
+    def __init__(self, storage: PipelineStorage, encoding="utf-8"):
+        """Init method definition."""
+        self._storage = storage
+        self._encoding = encoding
+
+    async def get(self, key: str) -> str | None:
+        """Get method definition."""
+        if await self.has(key):
+            try:
+                data = await self._storage.get(key, encoding=self._encoding)
+                data = json.loads(data)
+            except UnicodeDecodeError:
+                await self._storage.delete(key)
+                return None
+            except json.decoder.JSONDecodeError:
+                await self._storage.delete(key)
+                return None
+            else:
+                return data.get("result")
+
+        return None
+
+    async def set(self, key: str, value: Any, debug_data: dict | None = None) -> None:
+        """Set method definition."""
+        if value is None:
+            return
+        data = {"result": value, **(debug_data or {})}
+        await self._storage.set(key, json.dumps(data), encoding=self._encoding)
+
+    async def has(self, key: str) -> bool:
+        """Has method definition."""
+        return await self._storage.has(key)
+
+    async def delete(self, key: str) -> None:
+        """Delete method definition."""
+        if await self.has(key):
+            await self._storage.delete(key)
+
+    async def clear(self) -> None:
+        """Clear method definition."""
+        await self._storage.clear()
+
+    def child(self, name: str) -> "JsonPipelineCache":
+        """Child method definition."""
+        return JsonPipelineCache(self._storage.child(name), encoding=self._encoding)
diff --git a/graphrag/graphrag/index/cache/load_cache.py b/graphrag/graphrag/index/cache/load_cache.py
new file mode 100644
index 0000000000000000000000000000000000000000..4e0e6324fb29d4427ba546176a6cc1b6c4857918
--- /dev/null
+++ b/graphrag/graphrag/index/cache/load_cache.py
@@ -0,0 +1,51 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing load_cache method definition."""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING, cast
+
+from graphrag.config.enums import CacheType
+from graphrag.index.config.cache import (
+    PipelineBlobCacheConfig,
+    PipelineFileCacheConfig,
+)
+from graphrag.index.storage import BlobPipelineStorage, FilePipelineStorage
+
+if TYPE_CHECKING:
+    from graphrag.index.config import (
+        PipelineCacheConfig,
+    )
+
+from .json_pipeline_cache import JsonPipelineCache
+from .memory_pipeline_cache import create_memory_cache
+from .noop_pipeline_cache import NoopPipelineCache
+
+
+def load_cache(config: PipelineCacheConfig | None, root_dir: str | None):
+    """Load the cache from the given config."""
+    if config is None:
+        return NoopPipelineCache()
+
+    match config.type:
+        case CacheType.none:
+            return NoopPipelineCache()
+        case CacheType.memory:
+            return create_memory_cache()
+        case CacheType.file:
+            config = cast(PipelineFileCacheConfig, config)
+            storage = FilePipelineStorage(root_dir).child(config.base_dir)
+            return JsonPipelineCache(storage)
+        case CacheType.blob:
+            config = cast(PipelineBlobCacheConfig, config)
+            storage = BlobPipelineStorage(
+                config.connection_string,
+                config.container_name,
+                storage_account_blob_url=config.storage_account_blob_url,
+            ).child(config.base_dir)
+            return JsonPipelineCache(storage)
+        case _:
+            msg = f"Unknown cache type: {config.type}"
+            raise ValueError(msg)
diff --git a/graphrag/graphrag/index/cache/memory_pipeline_cache.py b/graphrag/graphrag/index/cache/memory_pipeline_cache.py
new file mode 100644
index 0000000000000000000000000000000000000000..fa42f3f921dccf10a518db9516e53bac7bd620ec
--- /dev/null
+++ b/graphrag/graphrag/index/cache/memory_pipeline_cache.py
@@ -0,0 +1,83 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'InMemoryCache' model."""
+
+from typing import Any
+
+from .pipeline_cache import PipelineCache
+
+
+class InMemoryCache(PipelineCache):
+    """In memory cache class definition."""
+
+    _cache: dict[str, Any]
+    _name: str
+
+    def __init__(self, name: str | None = None):
+        """Init method definition."""
+        self._cache = {}
+        self._name = name or ""
+
+    async def get(self, key: str) -> Any:
+        """Get the value for the given key.
+
+        Args:
+            - key - The key to get the value for.
+            - as_bytes - Whether or not to return the value as bytes.
+
+        Returns
+        -------
+            - output - The value for the given key.
+        """
+        key = self._create_cache_key(key)
+        return self._cache.get(key)
+
+    async def set(self, key: str, value: Any, debug_data: dict | None = None) -> None:
+        """Set the value for the given key.
+
+        Args:
+            - key - The key to set the value for.
+            - value - The value to set.
+        """
+        key = self._create_cache_key(key)
+        self._cache[key] = value
+
+    async def has(self, key: str) -> bool:
+        """Return True if the given key exists in the storage.
+
+        Args:
+            - key - The key to check for.
+
+        Returns
+        -------
+            - output - True if the key exists in the storage, False otherwise.
+        """
+        key = self._create_cache_key(key)
+        return key in self._cache
+
+    async def delete(self, key: str) -> None:
+        """Delete the given key from the storage.
+
+        Args:
+            - key - The key to delete.
+        """
+        key = self._create_cache_key(key)
+        del self._cache[key]
+
+    async def clear(self) -> None:
+        """Clear the storage."""
+        self._cache.clear()
+
+    def child(self, name: str) -> PipelineCache:
+        """Create a sub cache with the given name."""
+        return InMemoryCache(name)
+
+    def _create_cache_key(self, key: str) -> str:
+        """Create a cache key for the given key."""
+        return f"{self._name}{key}"
+
+
+def create_memory_cache() -> PipelineCache:
+    """Create a memory cache."""
+    return InMemoryCache()
diff --git a/graphrag/graphrag/index/cache/noop_pipeline_cache.py b/graphrag/graphrag/index/cache/noop_pipeline_cache.py
new file mode 100644
index 0000000000000000000000000000000000000000..b7c3e60fdd51aad52d02621aa9e7b5c83a159841
--- /dev/null
+++ b/graphrag/graphrag/index/cache/noop_pipeline_cache.py
@@ -0,0 +1,65 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Module containing the NoopPipelineCache implementation."""
+
+from typing import Any
+
+from .pipeline_cache import PipelineCache
+
+
+class NoopPipelineCache(PipelineCache):
+    """A no-op implementation of the pipeline cache, usually useful for testing."""
+
+    async def get(self, key: str) -> Any:
+        """Get the value for the given key.
+
+        Args:
+            - key - The key to get the value for.
+            - as_bytes - Whether or not to return the value as bytes.
+
+        Returns
+        -------
+            - output - The value for the given key.
+        """
+        return None
+
+    async def set(
+        self, key: str, value: str | bytes | None, debug_data: dict | None = None
+    ) -> None:
+        """Set the value for the given key.
+
+        Args:
+            - key - The key to set the value for.
+            - value - The value to set.
+        """
+
+    async def has(self, key: str) -> bool:
+        """Return True if the given key exists in the cache.
+
+        Args:
+            - key - The key to check for.
+
+        Returns
+        -------
+            - output - True if the key exists in the cache, False otherwise.
+        """
+        return False
+
+    async def delete(self, key: str) -> None:
+        """Delete the given key from the cache.
+
+        Args:
+            - key - The key to delete.
+        """
+
+    async def clear(self) -> None:
+        """Clear the cache."""
+
+    def child(self, name: str) -> PipelineCache:
+        """Create a child cache with the given name.
+
+        Args:
+            - name - The name to create the sub cache with.
+        """
+        return self
diff --git a/graphrag/graphrag/index/cache/pipeline_cache.py b/graphrag/graphrag/index/cache/pipeline_cache.py
new file mode 100644
index 0000000000000000000000000000000000000000..c68c5cfb4b91ea517bba3ea90a1d82eb227bcad8
--- /dev/null
+++ b/graphrag/graphrag/index/cache/pipeline_cache.py
@@ -0,0 +1,67 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'PipelineCache' model."""
+
+from __future__ import annotations
+
+from abc import ABCMeta, abstractmethod
+from typing import Any
+
+
+class PipelineCache(metaclass=ABCMeta):
+    """Provide a cache interface for the pipeline."""
+
+    @abstractmethod
+    async def get(self, key: str) -> Any:
+        """Get the value for the given key.
+
+        Args:
+            - key - The key to get the value for.
+            - as_bytes - Whether or not to return the value as bytes.
+
+        Returns
+        -------
+            - output - The value for the given key.
+        """
+
+    @abstractmethod
+    async def set(self, key: str, value: Any, debug_data: dict | None = None) -> None:
+        """Set the value for the given key.
+
+        Args:
+            - key - The key to set the value for.
+            - value - The value to set.
+        """
+
+    @abstractmethod
+    async def has(self, key: str) -> bool:
+        """Return True if the given key exists in the cache.
+
+        Args:
+            - key - The key to check for.
+
+        Returns
+        -------
+            - output - True if the key exists in the cache, False otherwise.
+        """
+
+    @abstractmethod
+    async def delete(self, key: str) -> None:
+        """Delete the given key from the cache.
+
+        Args:
+            - key - The key to delete.
+        """
+
+    @abstractmethod
+    async def clear(self) -> None:
+        """Clear the cache."""
+
+    @abstractmethod
+    def child(self, name: str) -> PipelineCache:
+        """Create a child cache with the given name.
+
+        Args:
+            - name - The name to create the sub cache with.
+        """
diff --git a/graphrag/graphrag/index/cli.py b/graphrag/graphrag/index/cli.py
new file mode 100644
index 0000000000000000000000000000000000000000..77d0e9b476ab3209e3196b529572adeae42cfa7f
--- /dev/null
+++ b/graphrag/graphrag/index/cli.py
@@ -0,0 +1,314 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Main definition."""
+
+import asyncio
+import json
+import logging
+import platform
+import sys
+import time
+import warnings
+from pathlib import Path
+
+from graphrag.config import (
+    create_graphrag_config,
+)
+from graphrag.index import PipelineConfig, create_pipeline_config
+from graphrag.index.cache import NoopPipelineCache
+from graphrag.index.progress import (
+    NullProgressReporter,
+    PrintProgressReporter,
+    ProgressReporter,
+)
+from graphrag.index.progress.rich import RichProgressReporter
+from graphrag.index.run import run_pipeline_with_config
+
+from .emit import TableEmitterType
+from .graph.extractors.claims.prompts import CLAIM_EXTRACTION_PROMPT
+from .graph.extractors.community_reports.prompts import COMMUNITY_REPORT_PROMPT
+from .graph.extractors.graph.prompts import GRAPH_EXTRACTION_PROMPT
+from .graph.extractors.summarize.prompts import SUMMARIZE_PROMPT
+from .init_content import INIT_DOTENV, INIT_YAML
+
+# Ignore warnings from numba
+warnings.filterwarnings("ignore", message=".*NumbaDeprecationWarning.*")
+
+log = logging.getLogger(__name__)
+
+
+def redact(input: dict) -> str:
+    """Sanitize the config json."""
+
+    # Redact any sensitive configuration
+    def redact_dict(input: dict) -> dict:
+        if not isinstance(input, dict):
+            return input
+
+        result = {}
+        for key, value in input.items():
+            if key in {
+                "api_key",
+                "connection_string",
+                "container_name",
+                "organization",
+            }:
+                if value is not None:
+                    result[key] = f"REDACTED, length {len(value)}"
+            elif isinstance(value, dict):
+                result[key] = redact_dict(value)
+            elif isinstance(value, list):
+                result[key] = [redact_dict(i) for i in value]
+            else:
+                result[key] = value
+        return result
+
+    redacted_dict = redact_dict(input)
+    return json.dumps(redacted_dict, indent=4)
+
+
+def index_cli(
+    root: str,
+    init: bool,
+    verbose: bool,
+    resume: str | None,
+    memprofile: bool,
+    nocache: bool,
+    reporter: str | None,
+    config: str | None,
+    emit: str | None,
+    dryrun: bool,
+    overlay_defaults: bool,
+    cli: bool = False,
+):
+    """Run the pipeline with the given config."""
+    run_id = resume or time.strftime("%Y%m%d-%H%M%S")
+    _enable_logging(root, run_id, verbose)
+    progress_reporter = _get_progress_reporter(reporter)
+    if init:
+        _initialize_project_at(root, progress_reporter)
+        sys.exit(0)
+    if overlay_defaults:
+        pipeline_config: str | PipelineConfig = _create_default_config(
+            root, config, verbose, dryrun or False, progress_reporter
+        )
+    else:
+        pipeline_config: str | PipelineConfig = config or _create_default_config(
+            root, None, verbose, dryrun or False, progress_reporter
+        )
+    cache = NoopPipelineCache() if nocache else None
+    pipeline_emit = emit.split(",") if emit else None
+    encountered_errors = False
+
+    def _run_workflow_async() -> None:
+        import signal
+
+        def handle_signal(signum, _):
+            # Handle the signal here
+            progress_reporter.info(f"Received signal {signum}, exiting...")
+            progress_reporter.dispose()
+            for task in asyncio.all_tasks():
+                task.cancel()
+            progress_reporter.info("All tasks cancelled. Exiting...")
+
+        # Register signal handlers for SIGINT and SIGHUP
+        signal.signal(signal.SIGINT, handle_signal)
+
+        if sys.platform != "win32":
+            signal.signal(signal.SIGHUP, handle_signal)
+
+        async def execute():
+            nonlocal encountered_errors
+            async for output in run_pipeline_with_config(
+                pipeline_config,
+                run_id=run_id,
+                memory_profile=memprofile,
+                cache=cache,
+                progress_reporter=progress_reporter,
+                emit=(
+                    [TableEmitterType(e) for e in pipeline_emit]
+                    if pipeline_emit
+                    else None
+                ),
+                is_resume_run=bool(resume),
+            ):
+                if output.errors and len(output.errors) > 0:
+                    encountered_errors = True
+                    progress_reporter.error(output.workflow)
+                else:
+                    progress_reporter.success(output.workflow)
+
+                progress_reporter.info(str(output.result))
+
+        if platform.system() == "Windows":
+            import nest_asyncio  # type: ignore Ignoring because out of windows this will cause an error
+
+            nest_asyncio.apply()
+            loop = asyncio.get_event_loop()
+            loop.run_until_complete(execute())
+        elif sys.version_info >= (3, 11):
+            import uvloop  # type: ignore Ignoring because on windows this will cause an error
+
+            with asyncio.Runner(loop_factory=uvloop.new_event_loop) as runner:  # type: ignore Ignoring because minor versions this will throw an error
+                runner.run(execute())
+        else:
+            import uvloop  # type: ignore Ignoring because on windows this will cause an error
+
+            uvloop.install()
+            asyncio.run(execute())
+
+    _run_workflow_async()
+    progress_reporter.stop()
+    if encountered_errors:
+        progress_reporter.error(
+            "Errors occurred during the pipeline run, see logs for more details."
+        )
+    else:
+        progress_reporter.success("All workflows completed successfully.")
+
+    if cli:
+        sys.exit(1 if encountered_errors else 0)
+
+
+def _initialize_project_at(path: str, reporter: ProgressReporter) -> None:
+    """Initialize the project at the given path."""
+    reporter.info(f"Initializing project at {path}")
+    root = Path(path)
+    if not root.exists():
+        root.mkdir(parents=True, exist_ok=True)
+
+    settings_yaml = root / "settings.yaml"
+    if settings_yaml.exists():
+        msg = f"Project already initialized at {root}"
+        raise ValueError(msg)
+
+    dotenv = root / ".env"
+    if not dotenv.exists():
+        with settings_yaml.open("w") as file:
+            file.write(INIT_YAML)
+
+    with dotenv.open("w") as file:
+        file.write(INIT_DOTENV)
+
+    prompts_dir = root / "prompts"
+    if not prompts_dir.exists():
+        prompts_dir.mkdir(parents=True, exist_ok=True)
+
+    entity_extraction = prompts_dir / "entity_extraction.txt"
+    if not entity_extraction.exists():
+        with entity_extraction.open("w") as file:
+            file.write(GRAPH_EXTRACTION_PROMPT)
+
+    summarize_descriptions = prompts_dir / "summarize_descriptions.txt"
+    if not summarize_descriptions.exists():
+        with summarize_descriptions.open("w") as file:
+            file.write(SUMMARIZE_PROMPT)
+
+    claim_extraction = prompts_dir / "claim_extraction.txt"
+    if not claim_extraction.exists():
+        with claim_extraction.open("w") as file:
+            file.write(CLAIM_EXTRACTION_PROMPT)
+
+    community_report = prompts_dir / "community_report.txt"
+    if not community_report.exists():
+        with community_report.open("w") as file:
+            file.write(COMMUNITY_REPORT_PROMPT)
+
+
+def _create_default_config(
+    root: str,
+    config: str | None,
+    verbose: bool,
+    dryrun: bool,
+    reporter: ProgressReporter,
+) -> PipelineConfig:
+    """Overlay default values on an existing config or create a default config if none is provided."""
+    if config and not Path(config).exists():
+        msg = f"Configuration file {config} does not exist"
+        raise ValueError
+
+    if not Path(root).exists():
+        msg = f"Root directory {root} does not exist"
+        raise ValueError(msg)
+
+    parameters = _read_config_parameters(root, config, reporter)
+    log.info(
+        "using default configuration: %s",
+        redact(parameters.model_dump()),
+    )
+
+    if verbose or dryrun:
+        reporter.info(f"Using default configuration: {redact(parameters.model_dump())}")
+    result = create_pipeline_config(parameters, verbose)
+    if verbose or dryrun:
+        reporter.info(f"Final Config: {redact(result.model_dump())}")
+
+    if dryrun:
+        reporter.info("dry run complete, exiting...")
+        sys.exit(0)
+    return result
+
+
+def _read_config_parameters(root: str, config: str | None, reporter: ProgressReporter):
+    _root = Path(root)
+    settings_yaml = (
+        Path(config)
+        if config and Path(config).suffix in [".yaml", ".yml"]
+        else _root / "settings.yaml"
+    )
+    if not settings_yaml.exists():
+        settings_yaml = _root / "settings.yml"
+    settings_json = (
+        Path(config)
+        if config and Path(config).suffix == ".json"
+        else _root / "settings.json"
+    )
+
+    if settings_yaml.exists():
+        reporter.success(f"Reading settings from {settings_yaml}")
+        with settings_yaml.open("r") as file:
+            import yaml
+
+            data = yaml.safe_load(file)
+            return create_graphrag_config(data, root)
+
+    if settings_json.exists():
+        reporter.success(f"Reading settings from {settings_json}")
+        with settings_json.open("r") as file:
+            import json
+
+            data = json.loads(file.read())
+            return create_graphrag_config(data, root)
+
+    reporter.success("Reading settings from environment variables")
+    return create_graphrag_config(root_dir=root)
+
+
+def _get_progress_reporter(reporter_type: str | None) -> ProgressReporter:
+    if reporter_type is None or reporter_type == "rich":
+        return RichProgressReporter("GraphRAG Indexer ")
+    if reporter_type == "print":
+        return PrintProgressReporter("GraphRAG Indexer ")
+    if reporter_type == "none":
+        return NullProgressReporter()
+
+    msg = f"Invalid progress reporter type: {reporter_type}"
+    raise ValueError(msg)
+
+
+def _enable_logging(root_dir: str, run_id: str, verbose: bool) -> None:
+    logging_file = (
+        Path(root_dir) / "output" / run_id / "reports" / "indexing-engine.log"
+    )
+    logging_file.parent.mkdir(parents=True, exist_ok=True)
+
+    logging_file.touch(exist_ok=True)
+
+    logging.basicConfig(
+        filename=str(logging_file),
+        filemode="a",
+        format="%(asctime)s,%(msecs)d %(name)s %(levelname)s %(message)s",
+        datefmt="%H:%M:%S",
+        level=logging.DEBUG if verbose else logging.INFO,
+    )
diff --git a/graphrag/graphrag/index/config/__init__.py b/graphrag/graphrag/index/config/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..3c40762a84ba0b8314cab9a39bdb10dd90982a45
--- /dev/null
+++ b/graphrag/graphrag/index/config/__init__.py
@@ -0,0 +1,69 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine config typing package root."""
+
+from .cache import (
+    PipelineBlobCacheConfig,
+    PipelineCacheConfig,
+    PipelineCacheConfigTypes,
+    PipelineFileCacheConfig,
+    PipelineMemoryCacheConfig,
+    PipelineNoneCacheConfig,
+)
+from .input import (
+    PipelineCSVInputConfig,
+    PipelineInputConfig,
+    PipelineInputConfigTypes,
+    PipelineTextInputConfig,
+)
+from .pipeline import PipelineConfig
+from .reporting import (
+    PipelineBlobReportingConfig,
+    PipelineConsoleReportingConfig,
+    PipelineFileReportingConfig,
+    PipelineReportingConfig,
+    PipelineReportingConfigTypes,
+)
+from .storage import (
+    PipelineBlobStorageConfig,
+    PipelineFileStorageConfig,
+    PipelineMemoryStorageConfig,
+    PipelineStorageConfig,
+    PipelineStorageConfigTypes,
+)
+from .workflow import (
+    PipelineWorkflowConfig,
+    PipelineWorkflowReference,
+    PipelineWorkflowStep,
+)
+
+__all__ = [
+    "PipelineBlobCacheConfig",
+    "PipelineBlobReportingConfig",
+    "PipelineBlobStorageConfig",
+    "PipelineCSVInputConfig",
+    "PipelineCacheConfig",
+    "PipelineCacheConfigTypes",
+    "PipelineCacheConfigTypes",
+    "PipelineCacheConfigTypes",
+    "PipelineConfig",
+    "PipelineConsoleReportingConfig",
+    "PipelineFileCacheConfig",
+    "PipelineFileReportingConfig",
+    "PipelineFileStorageConfig",
+    "PipelineInputConfig",
+    "PipelineInputConfigTypes",
+    "PipelineMemoryCacheConfig",
+    "PipelineMemoryCacheConfig",
+    "PipelineMemoryStorageConfig",
+    "PipelineNoneCacheConfig",
+    "PipelineReportingConfig",
+    "PipelineReportingConfigTypes",
+    "PipelineStorageConfig",
+    "PipelineStorageConfigTypes",
+    "PipelineTextInputConfig",
+    "PipelineWorkflowConfig",
+    "PipelineWorkflowReference",
+    "PipelineWorkflowStep",
+]
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diff --git a/graphrag/graphrag/index/config/__pycache__/workflow.cpython-310.pyc b/graphrag/graphrag/index/config/__pycache__/workflow.cpython-310.pyc
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diff --git a/graphrag/graphrag/index/config/cache.py b/graphrag/graphrag/index/config/cache.py
new file mode 100644
index 0000000000000000000000000000000000000000..be1053de2eb7990f2a36a5d042ccb8b17d60f871
--- /dev/null
+++ b/graphrag/graphrag/index/config/cache.py
@@ -0,0 +1,82 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'PipelineCacheConfig', 'PipelineFileCacheConfig' and 'PipelineMemoryCacheConfig' models."""
+
+from __future__ import annotations
+
+from typing import Generic, Literal, TypeVar
+
+from pydantic import BaseModel
+from pydantic import Field as pydantic_Field
+
+from graphrag.config.enums import CacheType
+
+T = TypeVar("T")
+
+
+class PipelineCacheConfig(BaseModel, Generic[T]):
+    """Represent the cache configuration for the pipeline."""
+
+    type: T
+
+
+class PipelineFileCacheConfig(PipelineCacheConfig[Literal[CacheType.file]]):
+    """Represent the file cache configuration for the pipeline."""
+
+    type: Literal[CacheType.file] = CacheType.file
+    """The type of cache."""
+
+    base_dir: str | None = pydantic_Field(
+        description="The base directory for the cache.", default=None
+    )
+    """The base directory for the cache."""
+
+
+class PipelineMemoryCacheConfig(PipelineCacheConfig[Literal[CacheType.memory]]):
+    """Represent the memory cache configuration for the pipeline."""
+
+    type: Literal[CacheType.memory] = CacheType.memory
+    """The type of cache."""
+
+
+class PipelineNoneCacheConfig(PipelineCacheConfig[Literal[CacheType.none]]):
+    """Represent the none cache configuration for the pipeline."""
+
+    type: Literal[CacheType.none] = CacheType.none
+    """The type of cache."""
+
+
+class PipelineBlobCacheConfig(PipelineCacheConfig[Literal[CacheType.blob]]):
+    """Represents the blob cache configuration for the pipeline."""
+
+    type: Literal[CacheType.blob] = CacheType.blob
+    """The type of cache."""
+
+    base_dir: str | None = pydantic_Field(
+        description="The base directory for the cache.", default=None
+    )
+    """The base directory for the cache."""
+
+    connection_string: str | None = pydantic_Field(
+        description="The blob cache connection string for the cache.", default=None
+    )
+    """The blob cache connection string for the cache."""
+
+    container_name: str = pydantic_Field(
+        description="The container name for cache", default=None
+    )
+    """The container name for cache"""
+
+    storage_account_blob_url: str | None = pydantic_Field(
+        description="The storage account blob url for cache", default=None
+    )
+    """The storage account blob url for cache"""
+
+
+PipelineCacheConfigTypes = (
+    PipelineFileCacheConfig
+    | PipelineMemoryCacheConfig
+    | PipelineBlobCacheConfig
+    | PipelineNoneCacheConfig
+)
diff --git a/graphrag/graphrag/index/config/input.py b/graphrag/graphrag/index/config/input.py
new file mode 100644
index 0000000000000000000000000000000000000000..35db357599ad117c4cb8c4c5a4d72688cc167642
--- /dev/null
+++ b/graphrag/graphrag/index/config/input.py
@@ -0,0 +1,120 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'PipelineInputConfig', 'PipelineCSVInputConfig' and 'PipelineTextInputConfig' models."""
+
+from __future__ import annotations
+
+from typing import Generic, Literal, TypeVar
+
+from pydantic import BaseModel
+from pydantic import Field as pydantic_Field
+
+from graphrag.config.enums import InputFileType, InputType
+
+from .workflow import PipelineWorkflowStep
+
+T = TypeVar("T")
+
+
+class PipelineInputConfig(BaseModel, Generic[T]):
+    """Represent the configuration for an input."""
+
+    file_type: T
+    """The file type of input."""
+
+    type: InputType | None = pydantic_Field(
+        description="The input type to use.",
+        default=None,
+    )
+    """The input type to use."""
+
+    connection_string: str | None = pydantic_Field(
+        description="The blob cache connection string for the input files.",
+        default=None,
+    )
+    """The blob cache connection string for the input files."""
+
+    storage_account_blob_url: str | None = pydantic_Field(
+        description="The storage account blob url for the input files.", default=None
+    )
+    """The storage account blob url for the input files."""
+
+    container_name: str | None = pydantic_Field(
+        description="The container name for input files.", default=None
+    )
+    """The container name for the input files."""
+
+    base_dir: str | None = pydantic_Field(
+        description="The base directory for the input files.", default=None
+    )
+    """The base directory for the input files."""
+
+    file_pattern: str = pydantic_Field(
+        description="The regex file pattern for the input files."
+    )
+    """The regex file pattern for the input files."""
+
+    file_filter: dict[str, str] | None = pydantic_Field(
+        description="The optional file filter for the input files.", default=None
+    )
+    """The optional file filter for the input files."""
+
+    post_process: list[PipelineWorkflowStep] | None = pydantic_Field(
+        description="The post processing steps for the input.", default=None
+    )
+    """The post processing steps for the input."""
+
+    encoding: str | None = pydantic_Field(
+        description="The encoding for the input files.", default=None
+    )
+    """The encoding for the input files."""
+
+
+class PipelineCSVInputConfig(PipelineInputConfig[Literal[InputFileType.csv]]):
+    """Represent the configuration for a CSV input."""
+
+    file_type: Literal[InputFileType.csv] = InputFileType.csv
+
+    source_column: str | None = pydantic_Field(
+        description="The column to use as the source of the document.", default=None
+    )
+    """The column to use as the source of the document."""
+
+    timestamp_column: str | None = pydantic_Field(
+        description="The column to use as the timestamp of the document.", default=None
+    )
+    """The column to use as the timestamp of the document."""
+
+    timestamp_format: str | None = pydantic_Field(
+        description="The format of the timestamp column, so it can be parsed correctly.",
+        default=None,
+    )
+    """The format of the timestamp column, so it can be parsed correctly."""
+
+    text_column: str | None = pydantic_Field(
+        description="The column to use as the text of the document.", default=None
+    )
+    """The column to use as the text of the document."""
+
+    title_column: str | None = pydantic_Field(
+        description="The column to use as the title of the document.", default=None
+    )
+    """The column to use as the title of the document."""
+
+
+class PipelineTextInputConfig(PipelineInputConfig[Literal[InputFileType.text]]):
+    """Represent the configuration for a text input."""
+
+    file_type: Literal[InputFileType.text] = InputFileType.text
+
+    # Text Specific
+    title_text_length: int | None = pydantic_Field(
+        description="Number of characters to use from the text as the title.",
+        default=None,
+    )
+    """Number of characters to use from the text as the title."""
+
+
+PipelineInputConfigTypes = PipelineCSVInputConfig | PipelineTextInputConfig
+"""Represent the types of inputs that can be used in a pipeline."""
diff --git a/graphrag/graphrag/index/config/pipeline.py b/graphrag/graphrag/index/config/pipeline.py
new file mode 100644
index 0000000000000000000000000000000000000000..30d866e3490284aa913b530ae4d3277830bc8996
--- /dev/null
+++ b/graphrag/graphrag/index/config/pipeline.py
@@ -0,0 +1,64 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'PipelineConfig' model."""
+
+from __future__ import annotations
+
+from devtools import pformat
+from pydantic import BaseModel
+from pydantic import Field as pydantic_Field
+
+from .cache import PipelineCacheConfigTypes
+from .input import PipelineInputConfigTypes
+from .reporting import PipelineReportingConfigTypes
+from .storage import PipelineStorageConfigTypes
+from .workflow import PipelineWorkflowReference
+
+
+class PipelineConfig(BaseModel):
+    """Represent the configuration for a pipeline."""
+
+    def __repr__(self) -> str:
+        """Get a string representation."""
+        return pformat(self, highlight=False)
+
+    def __str__(self):
+        """Get a string representation."""
+        return str(self.model_dump_json(indent=4))
+
+    extends: list[str] | str | None = pydantic_Field(
+        description="Extends another pipeline configuration", default=None
+    )
+    """Extends another pipeline configuration"""
+
+    input: PipelineInputConfigTypes | None = pydantic_Field(
+        default=None, discriminator="file_type"
+    )
+    """The input configuration for the pipeline."""
+
+    reporting: PipelineReportingConfigTypes | None = pydantic_Field(
+        default=None, discriminator="type"
+    )
+    """The reporting configuration for the pipeline."""
+
+    storage: PipelineStorageConfigTypes | None = pydantic_Field(
+        default=None, discriminator="type"
+    )
+    """The storage configuration for the pipeline."""
+
+    cache: PipelineCacheConfigTypes | None = pydantic_Field(
+        default=None, discriminator="type"
+    )
+    """The cache configuration for the pipeline."""
+
+    root_dir: str | None = pydantic_Field(
+        description="The root directory for the pipeline. All other paths will be based on this root_dir.",
+        default=None,
+    )
+    """The root directory for the pipeline."""
+
+    workflows: list[PipelineWorkflowReference] = pydantic_Field(
+        description="The workflows for the pipeline.", default_factory=list
+    )
+    """The workflows for the pipeline."""
diff --git a/graphrag/graphrag/index/config/reporting.py b/graphrag/graphrag/index/config/reporting.py
new file mode 100644
index 0000000000000000000000000000000000000000..921e24ae4e6cbe9da944a0c19f3df38ab207f9f5
--- /dev/null
+++ b/graphrag/graphrag/index/config/reporting.py
@@ -0,0 +1,77 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'PipelineReportingConfig', 'PipelineFileReportingConfig' and 'PipelineConsoleReportingConfig' models."""
+
+from __future__ import annotations
+
+from typing import Generic, Literal, TypeVar
+
+from pydantic import BaseModel
+from pydantic import Field as pydantic_Field
+
+from graphrag.config.enums import ReportingType
+
+T = TypeVar("T")
+
+
+class PipelineReportingConfig(BaseModel, Generic[T]):
+    """Represent the reporting configuration for the pipeline."""
+
+    type: T
+
+
+class PipelineFileReportingConfig(PipelineReportingConfig[Literal[ReportingType.file]]):
+    """Represent the file reporting configuration for the pipeline."""
+
+    type: Literal[ReportingType.file] = ReportingType.file
+    """The type of reporting."""
+
+    base_dir: str | None = pydantic_Field(
+        description="The base directory for the reporting.", default=None
+    )
+    """The base directory for the reporting."""
+
+
+class PipelineConsoleReportingConfig(
+    PipelineReportingConfig[Literal[ReportingType.console]]
+):
+    """Represent the console reporting configuration for the pipeline."""
+
+    type: Literal[ReportingType.console] = ReportingType.console
+    """The type of reporting."""
+
+
+class PipelineBlobReportingConfig(PipelineReportingConfig[Literal[ReportingType.blob]]):
+    """Represents the blob reporting configuration for the pipeline."""
+
+    type: Literal[ReportingType.blob] = ReportingType.blob
+    """The type of reporting."""
+
+    connection_string: str | None = pydantic_Field(
+        description="The blob reporting connection string for the reporting.",
+        default=None,
+    )
+    """The blob reporting connection string for the reporting."""
+
+    container_name: str = pydantic_Field(
+        description="The container name for reporting", default=None
+    )
+    """The container name for reporting"""
+
+    storage_account_blob_url: str | None = pydantic_Field(
+        description="The storage account blob url for reporting", default=None
+    )
+    """The storage account blob url for reporting"""
+
+    base_dir: str | None = pydantic_Field(
+        description="The base directory for the reporting.", default=None
+    )
+    """The base directory for the reporting."""
+
+
+PipelineReportingConfigTypes = (
+    PipelineFileReportingConfig
+    | PipelineConsoleReportingConfig
+    | PipelineBlobReportingConfig
+)
diff --git a/graphrag/graphrag/index/config/storage.py b/graphrag/graphrag/index/config/storage.py
new file mode 100644
index 0000000000000000000000000000000000000000..023d50e24925f93f14f3ca9d11cc49d3d34e5c40
--- /dev/null
+++ b/graphrag/graphrag/index/config/storage.py
@@ -0,0 +1,72 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'PipelineStorageConfig', 'PipelineFileStorageConfig' and 'PipelineMemoryStorageConfig' models."""
+
+from __future__ import annotations
+
+from typing import Generic, Literal, TypeVar
+
+from pydantic import BaseModel
+from pydantic import Field as pydantic_Field
+
+from graphrag.config.enums import StorageType
+
+T = TypeVar("T")
+
+
+class PipelineStorageConfig(BaseModel, Generic[T]):
+    """Represent the storage configuration for the pipeline."""
+
+    type: T
+
+
+class PipelineFileStorageConfig(PipelineStorageConfig[Literal[StorageType.file]]):
+    """Represent the file storage configuration for the pipeline."""
+
+    type: Literal[StorageType.file] = StorageType.file
+    """The type of storage."""
+
+    base_dir: str | None = pydantic_Field(
+        description="The base directory for the storage.", default=None
+    )
+    """The base directory for the storage."""
+
+
+class PipelineMemoryStorageConfig(PipelineStorageConfig[Literal[StorageType.memory]]):
+    """Represent the memory storage configuration for the pipeline."""
+
+    type: Literal[StorageType.memory] = StorageType.memory
+    """The type of storage."""
+
+
+class PipelineBlobStorageConfig(PipelineStorageConfig[Literal[StorageType.blob]]):
+    """Represents the blob storage configuration for the pipeline."""
+
+    type: Literal[StorageType.blob] = StorageType.blob
+    """The type of storage."""
+
+    connection_string: str | None = pydantic_Field(
+        description="The blob storage connection string for the storage.", default=None
+    )
+    """The blob storage connection string for the storage."""
+
+    container_name: str = pydantic_Field(
+        description="The container name for storage", default=None
+    )
+    """The container name for storage."""
+
+    base_dir: str | None = pydantic_Field(
+        description="The base directory for the storage.", default=None
+    )
+    """The base directory for the storage."""
+
+    storage_account_blob_url: str | None = pydantic_Field(
+        description="The storage account blob url.", default=None
+    )
+    """The storage account blob url."""
+
+
+PipelineStorageConfigTypes = (
+    PipelineFileStorageConfig | PipelineMemoryStorageConfig | PipelineBlobStorageConfig
+)
diff --git a/graphrag/graphrag/index/config/workflow.py b/graphrag/graphrag/index/config/workflow.py
new file mode 100644
index 0000000000000000000000000000000000000000..c26fef6ca0d50d1ef993c837063d372f68f1f44c
--- /dev/null
+++ b/graphrag/graphrag/index/config/workflow.py
@@ -0,0 +1,34 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'PipelineWorkflowReference' model."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from pydantic import BaseModel
+from pydantic import Field as pydantic_Field
+
+PipelineWorkflowStep = dict[str, Any]
+"""Represent a step in a workflow."""
+
+PipelineWorkflowConfig = dict[str, Any]
+"""Represent a configuration for a workflow."""
+
+
+class PipelineWorkflowReference(BaseModel):
+    """Represent a reference to a workflow, and can optionally be the workflow itself."""
+
+    name: str | None = pydantic_Field(description="Name of the workflow.", default=None)
+    """Name of the workflow."""
+
+    steps: list[PipelineWorkflowStep] | None = pydantic_Field(
+        description="The optional steps for the workflow.", default=None
+    )
+    """The optional steps for the workflow."""
+
+    config: PipelineWorkflowConfig | None = pydantic_Field(
+        description="The optional configuration for the workflow.", default=None
+    )
+    """The optional configuration for the workflow."""
diff --git a/graphrag/graphrag/index/context.py b/graphrag/graphrag/index/context.py
new file mode 100644
index 0000000000000000000000000000000000000000..e74799bd358a0729c327397d50f1ac4a6b02d6f3
--- /dev/null
+++ b/graphrag/graphrag/index/context.py
@@ -0,0 +1,42 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+# isort: skip_file
+"""A module containing the 'PipelineRunStats' and 'PipelineRunContext' models."""
+
+from dataclasses import dataclass as dc_dataclass
+from dataclasses import field
+
+from .cache import PipelineCache
+from .storage.typing import PipelineStorage
+
+
+@dc_dataclass
+class PipelineRunStats:
+    """Pipeline running stats."""
+
+    total_runtime: float = field(default=0)
+    """Float representing the total runtime."""
+
+    num_documents: int = field(default=0)
+    """Number of documents."""
+
+    input_load_time: float = field(default=0)
+    """Float representing the input load time."""
+
+    workflows: dict[str, dict[str, float]] = field(default_factory=dict)
+    """A dictionary of workflows."""
+
+
+@dc_dataclass
+class PipelineRunContext:
+    """Provides the context for the current pipeline run."""
+
+    stats: PipelineRunStats
+    storage: PipelineStorage
+    cache: PipelineCache
+
+
+# TODO: For now, just has the same props available to it
+VerbRunContext = PipelineRunContext
+"""Provides the context for the current verb run."""
diff --git a/graphrag/graphrag/index/create_pipeline_config.py b/graphrag/graphrag/index/create_pipeline_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..40f36247bafc6aaff1698aaf1f4eaeef15a2defd
--- /dev/null
+++ b/graphrag/graphrag/index/create_pipeline_config.py
@@ -0,0 +1,548 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Default configuration methods definition."""
+
+import json
+import logging
+from pathlib import Path
+
+from graphrag.config.enums import (
+    CacheType,
+    InputFileType,
+    ReportingType,
+    StorageType,
+    TextEmbeddingTarget,
+)
+from graphrag.config.models import (
+    GraphRagConfig,
+    TextEmbeddingConfig,
+)
+from graphrag.index.config.cache import (
+    PipelineBlobCacheConfig,
+    PipelineCacheConfigTypes,
+    PipelineFileCacheConfig,
+    PipelineMemoryCacheConfig,
+    PipelineNoneCacheConfig,
+)
+from graphrag.index.config.input import (
+    PipelineCSVInputConfig,
+    PipelineInputConfigTypes,
+    PipelineTextInputConfig,
+)
+from graphrag.index.config.pipeline import (
+    PipelineConfig,
+)
+from graphrag.index.config.reporting import (
+    PipelineBlobReportingConfig,
+    PipelineConsoleReportingConfig,
+    PipelineFileReportingConfig,
+    PipelineReportingConfigTypes,
+)
+from graphrag.index.config.storage import (
+    PipelineBlobStorageConfig,
+    PipelineFileStorageConfig,
+    PipelineMemoryStorageConfig,
+    PipelineStorageConfigTypes,
+)
+from graphrag.index.config.workflow import (
+    PipelineWorkflowReference,
+)
+from graphrag.index.workflows.default_workflows import (
+    create_base_documents,
+    create_base_entity_graph,
+    create_base_extracted_entities,
+    create_base_text_units,
+    create_final_communities,
+    create_final_community_reports,
+    create_final_covariates,
+    create_final_documents,
+    create_final_entities,
+    create_final_nodes,
+    create_final_relationships,
+    create_final_text_units,
+    create_summarized_entities,
+    join_text_units_to_covariate_ids,
+    join_text_units_to_entity_ids,
+    join_text_units_to_relationship_ids,
+)
+
+log = logging.getLogger(__name__)
+
+
+entity_name_embedding = "entity.name"
+entity_description_embedding = "entity.description"
+relationship_description_embedding = "relationship.description"
+document_raw_content_embedding = "document.raw_content"
+community_title_embedding = "community.title"
+community_summary_embedding = "community.summary"
+community_full_content_embedding = "community.full_content"
+text_unit_text_embedding = "text_unit.text"
+
+all_embeddings: set[str] = {
+    entity_name_embedding,
+    entity_description_embedding,
+    relationship_description_embedding,
+    document_raw_content_embedding,
+    community_title_embedding,
+    community_summary_embedding,
+    community_full_content_embedding,
+    text_unit_text_embedding,
+}
+required_embeddings: set[str] = {entity_description_embedding}
+
+
+builtin_document_attributes: set[str] = {
+    "id",
+    "source",
+    "text",
+    "title",
+    "timestamp",
+    "year",
+    "month",
+    "day",
+    "hour",
+    "minute",
+    "second",
+}
+
+
+def create_pipeline_config(settings: GraphRagConfig, verbose=False) -> PipelineConfig:
+    """Get the default config for the pipeline."""
+    # relative to the root_dir
+    if verbose:
+        _log_llm_settings(settings)
+
+    skip_workflows = _determine_skip_workflows(settings)
+    embedded_fields = _get_embedded_fields(settings)
+    covariates_enabled = (
+        settings.claim_extraction.enabled
+        and create_final_covariates not in skip_workflows
+    )
+
+    result = PipelineConfig(
+        root_dir=settings.root_dir,
+        input=_get_pipeline_input_config(settings),
+        reporting=_get_reporting_config(settings),
+        storage=_get_storage_config(settings),
+        cache=_get_cache_config(settings),
+        workflows=[
+            *_document_workflows(settings, embedded_fields),
+            *_text_unit_workflows(settings, covariates_enabled, embedded_fields),
+            *_graph_workflows(settings, embedded_fields),
+            *_community_workflows(settings, covariates_enabled, embedded_fields),
+            *(_covariate_workflows(settings) if covariates_enabled else []),
+        ],
+    )
+
+    # Remove any workflows that were specified to be skipped
+    log.info("skipping workflows %s", ",".join(skip_workflows))
+    result.workflows = [w for w in result.workflows if w.name not in skip_workflows]
+    return result
+
+
+def _get_embedded_fields(settings: GraphRagConfig) -> set[str]:
+    match settings.embeddings.target:
+        case TextEmbeddingTarget.all:
+            return all_embeddings - {*settings.embeddings.skip}
+        case TextEmbeddingTarget.required:
+            return required_embeddings
+        case _:
+            msg = f"Unknown embeddings target: {settings.embeddings.target}"
+            raise ValueError(msg)
+
+
+def _determine_skip_workflows(settings: GraphRagConfig) -> list[str]:
+    skip_workflows = settings.skip_workflows
+    if (
+        create_final_covariates in skip_workflows
+        and join_text_units_to_covariate_ids not in skip_workflows
+    ):
+        skip_workflows.append(join_text_units_to_covariate_ids)
+    return skip_workflows
+
+
+def _log_llm_settings(settings: GraphRagConfig) -> None:
+    log.info(
+        "Using LLM Config %s",
+        json.dumps(
+            {**settings.entity_extraction.llm.model_dump(), "api_key": "*****"},
+            indent=4,
+        ),
+    )
+    log.info(
+        "Using Embeddings Config %s",
+        json.dumps(
+            {**settings.embeddings.llm.model_dump(), "api_key": "*****"}, indent=4
+        ),
+    )
+
+
+def _document_workflows(
+    settings: GraphRagConfig, embedded_fields: set[str]
+) -> list[PipelineWorkflowReference]:
+    skip_document_raw_content_embedding = (
+        document_raw_content_embedding not in embedded_fields
+    )
+    return [
+        PipelineWorkflowReference(
+            name=create_base_documents,
+            config={
+                "document_attribute_columns": list(
+                    {*(settings.input.document_attribute_columns)}
+                    - builtin_document_attributes
+                )
+            },
+        ),
+        PipelineWorkflowReference(
+            name=create_final_documents,
+            config={
+                "document_raw_content_embed": _get_embedding_settings(
+                    settings.embeddings, "document_raw_content"
+                ),
+                "skip_raw_content_embedding": skip_document_raw_content_embedding,
+            },
+        ),
+    ]
+
+
+def _text_unit_workflows(
+    settings: GraphRagConfig,
+    covariates_enabled: bool,
+    embedded_fields: set[str],
+) -> list[PipelineWorkflowReference]:
+    skip_text_unit_embedding = text_unit_text_embedding not in embedded_fields
+    return [
+        PipelineWorkflowReference(
+            name=create_base_text_units,
+            config={
+                "chunk_by": settings.chunks.group_by_columns,
+                "text_chunk": {"strategy": settings.chunks.resolved_strategy()},
+            },
+        ),
+        PipelineWorkflowReference(
+            name=join_text_units_to_entity_ids,
+        ),
+        PipelineWorkflowReference(
+            name=join_text_units_to_relationship_ids,
+        ),
+        *(
+            [
+                PipelineWorkflowReference(
+                    name=join_text_units_to_covariate_ids,
+                )
+            ]
+            if covariates_enabled
+            else []
+        ),
+        PipelineWorkflowReference(
+            name=create_final_text_units,
+            config={
+                "text_unit_text_embed": _get_embedding_settings(
+                    settings.embeddings, "text_unit_text"
+                ),
+                "covariates_enabled": covariates_enabled,
+                "skip_text_unit_embedding": skip_text_unit_embedding,
+            },
+        ),
+    ]
+
+
+def _get_embedding_settings(settings: TextEmbeddingConfig, embedding_name: str) -> dict:
+    vector_store_settings = settings.vector_store
+    if vector_store_settings is None:
+        return {"strategy": settings.resolved_strategy()}
+
+    #
+    # If we get to this point, settings.vector_store is defined, and there's a specific setting for this embedding.
+    # settings.vector_store.base contains connection information, or may be undefined
+    # settings.vector_store.<vector_name> contains the specific settings for this embedding
+    #
+    strategy = settings.resolved_strategy()  # get the default strategy
+    strategy.update({
+        "vector_store": vector_store_settings
+    })  # update the default strategy with the vector store settings
+    # This ensures the vector store config is part of the strategy and not the global config
+    return {
+        "strategy": strategy,
+        "embedding_name": embedding_name,
+    }
+
+
+def _graph_workflows(
+    settings: GraphRagConfig, embedded_fields: set[str]
+) -> list[PipelineWorkflowReference]:
+    skip_entity_name_embedding = entity_name_embedding not in embedded_fields
+    skip_entity_description_embedding = (
+        entity_description_embedding not in embedded_fields
+    )
+    skip_relationship_description_embedding = (
+        relationship_description_embedding not in embedded_fields
+    )
+    return [
+        PipelineWorkflowReference(
+            name=create_base_extracted_entities,
+            config={
+                "graphml_snapshot": settings.snapshots.graphml,
+                "raw_entity_snapshot": settings.snapshots.raw_entities,
+                "entity_extract": {
+                    **settings.entity_extraction.parallelization.model_dump(),
+                    "async_mode": settings.entity_extraction.async_mode,
+                    "strategy": settings.entity_extraction.resolved_strategy(
+                        settings.root_dir, settings.encoding_model
+                    ),
+                    "entity_types": settings.entity_extraction.entity_types,
+                },
+            },
+        ),
+        PipelineWorkflowReference(
+            name=create_summarized_entities,
+            config={
+                "graphml_snapshot": settings.snapshots.graphml,
+                "summarize_descriptions": {
+                    **settings.summarize_descriptions.parallelization.model_dump(),
+                    "async_mode": settings.summarize_descriptions.async_mode,
+                    "strategy": settings.summarize_descriptions.resolved_strategy(
+                        settings.root_dir,
+                    ),
+                },
+            },
+        ),
+        PipelineWorkflowReference(
+            name=create_base_entity_graph,
+            config={
+                "graphml_snapshot": settings.snapshots.graphml,
+                "embed_graph_enabled": settings.embed_graph.enabled,
+                "cluster_graph": {
+                    "strategy": settings.cluster_graph.resolved_strategy()
+                },
+                "embed_graph": {"strategy": settings.embed_graph.resolved_strategy()},
+            },
+        ),
+        PipelineWorkflowReference(
+            name=create_final_entities,
+            config={
+                "entity_name_embed": _get_embedding_settings(
+                    settings.embeddings, "entity_name"
+                ),
+                "entity_name_description_embed": _get_embedding_settings(
+                    settings.embeddings, "entity_name_description"
+                ),
+                "skip_name_embedding": skip_entity_name_embedding,
+                "skip_description_embedding": skip_entity_description_embedding,
+            },
+        ),
+        PipelineWorkflowReference(
+            name=create_final_relationships,
+            config={
+                "relationship_description_embed": _get_embedding_settings(
+                    settings.embeddings, "relationship_description"
+                ),
+                "skip_description_embedding": skip_relationship_description_embedding,
+            },
+        ),
+        PipelineWorkflowReference(
+            name=create_final_nodes,
+            config={
+                "layout_graph_enabled": settings.umap.enabled,
+                "snapshot_top_level_nodes": settings.snapshots.top_level_nodes,
+            },
+        ),
+    ]
+
+
+def _community_workflows(
+    settings: GraphRagConfig, covariates_enabled: bool, embedded_fields: set[str]
+) -> list[PipelineWorkflowReference]:
+    skip_community_title_embedding = community_title_embedding not in embedded_fields
+    skip_community_summary_embedding = (
+        community_summary_embedding not in embedded_fields
+    )
+    skip_community_full_content_embedding = (
+        community_full_content_embedding not in embedded_fields
+    )
+    return [
+        PipelineWorkflowReference(name=create_final_communities),
+        PipelineWorkflowReference(
+            name=create_final_community_reports,
+            config={
+                "covariates_enabled": covariates_enabled,
+                "skip_title_embedding": skip_community_title_embedding,
+                "skip_summary_embedding": skip_community_summary_embedding,
+                "skip_full_content_embedding": skip_community_full_content_embedding,
+                "create_community_reports": {
+                    **settings.community_reports.parallelization.model_dump(),
+                    "async_mode": settings.community_reports.async_mode,
+                    "strategy": settings.community_reports.resolved_strategy(
+                        settings.root_dir
+                    ),
+                },
+                "community_report_full_content_embed": _get_embedding_settings(
+                    settings.embeddings, "community_report_full_content"
+                ),
+                "community_report_summary_embed": _get_embedding_settings(
+                    settings.embeddings, "community_report_summary"
+                ),
+                "community_report_title_embed": _get_embedding_settings(
+                    settings.embeddings, "community_report_title"
+                ),
+            },
+        ),
+    ]
+
+
+def _covariate_workflows(
+    settings: GraphRagConfig,
+) -> list[PipelineWorkflowReference]:
+    return [
+        PipelineWorkflowReference(
+            name=create_final_covariates,
+            config={
+                "claim_extract": {
+                    **settings.claim_extraction.parallelization.model_dump(),
+                    "strategy": settings.claim_extraction.resolved_strategy(
+                        settings.root_dir
+                    ),
+                },
+            },
+        )
+    ]
+
+
+def _get_pipeline_input_config(
+    settings: GraphRagConfig,
+) -> PipelineInputConfigTypes:
+    file_type = settings.input.file_type
+    match file_type:
+        case InputFileType.csv:
+            return PipelineCSVInputConfig(
+                base_dir=settings.input.base_dir,
+                file_pattern=settings.input.file_pattern,
+                encoding=settings.input.encoding,
+                source_column=settings.input.source_column,
+                timestamp_column=settings.input.timestamp_column,
+                timestamp_format=settings.input.timestamp_format,
+                text_column=settings.input.text_column,
+                title_column=settings.input.title_column,
+                type=settings.input.type,
+                connection_string=settings.input.connection_string,
+                storage_account_blob_url=settings.input.storage_account_blob_url,
+                container_name=settings.input.container_name,
+            )
+        case InputFileType.text:
+            return PipelineTextInputConfig(
+                base_dir=settings.input.base_dir,
+                file_pattern=settings.input.file_pattern,
+                encoding=settings.input.encoding,
+                type=settings.input.type,
+                connection_string=settings.input.connection_string,
+                storage_account_blob_url=settings.input.storage_account_blob_url,
+                container_name=settings.input.container_name,
+            )
+        case _:
+            msg = f"Unknown input type: {file_type}"
+            raise ValueError(msg)
+
+
+def _get_reporting_config(
+    settings: GraphRagConfig,
+) -> PipelineReportingConfigTypes:
+    """Get the reporting config from the settings."""
+    match settings.reporting.type:
+        case ReportingType.file:
+            # relative to the root_dir
+            return PipelineFileReportingConfig(base_dir=settings.reporting.base_dir)
+        case ReportingType.blob:
+            connection_string = settings.reporting.connection_string
+            storage_account_blob_url = settings.reporting.storage_account_blob_url
+            container_name = settings.reporting.container_name
+            if container_name is None:
+                msg = "Container name must be provided for blob reporting."
+                raise ValueError(msg)
+            if connection_string is None and storage_account_blob_url is None:
+                msg = "Connection string or storage account blob url must be provided for blob reporting."
+                raise ValueError(msg)
+            return PipelineBlobReportingConfig(
+                connection_string=connection_string,
+                container_name=container_name,
+                base_dir=settings.reporting.base_dir,
+                storage_account_blob_url=storage_account_blob_url,
+            )
+        case ReportingType.console:
+            return PipelineConsoleReportingConfig()
+        case _:
+            # relative to the root_dir
+            return PipelineFileReportingConfig(base_dir=settings.reporting.base_dir)
+
+
+def _get_storage_config(
+    settings: GraphRagConfig,
+) -> PipelineStorageConfigTypes:
+    """Get the storage type from the settings."""
+    root_dir = settings.root_dir
+    match settings.storage.type:
+        case StorageType.memory:
+            return PipelineMemoryStorageConfig()
+        case StorageType.file:
+            # relative to the root_dir
+            base_dir = settings.storage.base_dir
+            if base_dir is None:
+                msg = "Base directory must be provided for file storage."
+                raise ValueError(msg)
+            return PipelineFileStorageConfig(base_dir=str(Path(root_dir) / base_dir))
+        case StorageType.blob:
+            connection_string = settings.storage.connection_string
+            storage_account_blob_url = settings.storage.storage_account_blob_url
+            container_name = settings.storage.container_name
+            if container_name is None:
+                msg = "Container name must be provided for blob storage."
+                raise ValueError(msg)
+            if connection_string is None and storage_account_blob_url is None:
+                msg = "Connection string or storage account blob url must be provided for blob storage."
+                raise ValueError(msg)
+            return PipelineBlobStorageConfig(
+                connection_string=connection_string,
+                container_name=container_name,
+                base_dir=settings.storage.base_dir,
+                storage_account_blob_url=storage_account_blob_url,
+            )
+        case _:
+            # relative to the root_dir
+            base_dir = settings.storage.base_dir
+            if base_dir is None:
+                msg = "Base directory must be provided for file storage."
+                raise ValueError(msg)
+            return PipelineFileStorageConfig(base_dir=str(Path(root_dir) / base_dir))
+
+
+def _get_cache_config(
+    settings: GraphRagConfig,
+) -> PipelineCacheConfigTypes:
+    """Get the cache type from the settings."""
+    match settings.cache.type:
+        case CacheType.memory:
+            return PipelineMemoryCacheConfig()
+        case CacheType.file:
+            # relative to root dir
+            return PipelineFileCacheConfig(base_dir=settings.cache.base_dir)
+        case CacheType.none:
+            return PipelineNoneCacheConfig()
+        case CacheType.blob:
+            connection_string = settings.cache.connection_string
+            storage_account_blob_url = settings.cache.storage_account_blob_url
+            container_name = settings.cache.container_name
+            if container_name is None:
+                msg = "Container name must be provided for blob cache."
+                raise ValueError(msg)
+            if connection_string is None and storage_account_blob_url is None:
+                msg = "Connection string or storage account blob url must be provided for blob cache."
+                raise ValueError(msg)
+            return PipelineBlobCacheConfig(
+                connection_string=connection_string,
+                container_name=container_name,
+                base_dir=settings.cache.base_dir,
+                storage_account_blob_url=storage_account_blob_url,
+            )
+        case _:
+            # relative to root dir
+            return PipelineFileCacheConfig(base_dir="./cache")
diff --git a/graphrag/graphrag/index/emit/__init__.py b/graphrag/graphrag/index/emit/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..354989e3382d424ea3443422d804ceb21b20cc82
--- /dev/null
+++ b/graphrag/graphrag/index/emit/__init__.py
@@ -0,0 +1,21 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Definitions for emitting pipeline artifacts to storage."""
+
+from .csv_table_emitter import CSVTableEmitter
+from .factories import create_table_emitter, create_table_emitters
+from .json_table_emitter import JsonTableEmitter
+from .parquet_table_emitter import ParquetTableEmitter
+from .table_emitter import TableEmitter
+from .types import TableEmitterType
+
+__all__ = [
+    "CSVTableEmitter",
+    "JsonTableEmitter",
+    "ParquetTableEmitter",
+    "TableEmitter",
+    "TableEmitterType",
+    "create_table_emitter",
+    "create_table_emitters",
+]
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diff --git a/graphrag/graphrag/index/emit/__pycache__/types.cpython-310.pyc b/graphrag/graphrag/index/emit/__pycache__/types.cpython-310.pyc
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diff --git a/graphrag/graphrag/index/emit/csv_table_emitter.py b/graphrag/graphrag/index/emit/csv_table_emitter.py
new file mode 100644
index 0000000000000000000000000000000000000000..c0305c254bcb18ffdba4ebad713b164f8ab91d7e
--- /dev/null
+++ b/graphrag/graphrag/index/emit/csv_table_emitter.py
@@ -0,0 +1,33 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""CSVTableEmitter module."""
+
+import logging
+
+import pandas as pd
+
+from graphrag.index.storage import PipelineStorage
+
+from .table_emitter import TableEmitter
+
+log = logging.getLogger(__name__)
+
+
+class CSVTableEmitter(TableEmitter):
+    """CSVTableEmitter class."""
+
+    _storage: PipelineStorage
+
+    def __init__(self, storage: PipelineStorage):
+        """Create a new CSV Table Emitter."""
+        self._storage = storage
+
+    async def emit(self, name: str, data: pd.DataFrame) -> None:
+        """Emit a dataframe to storage."""
+        filename = f"{name}.csv"
+        log.info("emitting CSV table %s", filename)
+        await self._storage.set(
+            filename,
+            data.to_csv(),
+        )
diff --git a/graphrag/graphrag/index/emit/factories.py b/graphrag/graphrag/index/emit/factories.py
new file mode 100644
index 0000000000000000000000000000000000000000..84afa684431ef3440d361e08b2e78acca3a76d47
--- /dev/null
+++ b/graphrag/graphrag/index/emit/factories.py
@@ -0,0 +1,41 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Table Emitter Factories."""
+
+from graphrag.index.storage import PipelineStorage
+from graphrag.index.typing import ErrorHandlerFn
+
+from .csv_table_emitter import CSVTableEmitter
+from .json_table_emitter import JsonTableEmitter
+from .parquet_table_emitter import ParquetTableEmitter
+from .table_emitter import TableEmitter
+from .types import TableEmitterType
+
+
+def create_table_emitter(
+    emitter_type: TableEmitterType, storage: PipelineStorage, on_error: ErrorHandlerFn
+) -> TableEmitter:
+    """Create a table emitter based on the specified type."""
+    match emitter_type:
+        case TableEmitterType.Json:
+            return JsonTableEmitter(storage)
+        case TableEmitterType.Parquet:
+            return ParquetTableEmitter(storage, on_error)
+        case TableEmitterType.CSV:
+            return CSVTableEmitter(storage)
+        case _:
+            msg = f"Unsupported table emitter type: {emitter_type}"
+            raise ValueError(msg)
+
+
+def create_table_emitters(
+    emitter_types: list[TableEmitterType],
+    storage: PipelineStorage,
+    on_error: ErrorHandlerFn,
+) -> list[TableEmitter]:
+    """Create a list of table emitters based on the specified types."""
+    return [
+        create_table_emitter(emitter_type, storage, on_error)
+        for emitter_type in emitter_types
+    ]
diff --git a/graphrag/graphrag/index/emit/json_table_emitter.py b/graphrag/graphrag/index/emit/json_table_emitter.py
new file mode 100644
index 0000000000000000000000000000000000000000..0b18c717a6d61994a614e715697221d61d9cc75b
--- /dev/null
+++ b/graphrag/graphrag/index/emit/json_table_emitter.py
@@ -0,0 +1,34 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""JsonTableEmitter module."""
+
+import logging
+
+import pandas as pd
+
+from graphrag.index.storage import PipelineStorage
+
+from .table_emitter import TableEmitter
+
+log = logging.getLogger(__name__)
+
+
+class JsonTableEmitter(TableEmitter):
+    """JsonTableEmitter class."""
+
+    _storage: PipelineStorage
+
+    def __init__(self, storage: PipelineStorage):
+        """Create a new Json Table Emitter."""
+        self._storage = storage
+
+    async def emit(self, name: str, data: pd.DataFrame) -> None:
+        """Emit a dataframe to storage."""
+        filename = f"{name}.json"
+
+        log.info("emitting JSON table %s", filename)
+        await self._storage.set(
+            filename,
+            data.to_json(orient="records", lines=True, force_ascii=False),
+        )
diff --git a/graphrag/graphrag/index/emit/parquet_table_emitter.py b/graphrag/graphrag/index/emit/parquet_table_emitter.py
new file mode 100644
index 0000000000000000000000000000000000000000..753915a79a06159dee0cad0d2434767502c2cfe2
--- /dev/null
+++ b/graphrag/graphrag/index/emit/parquet_table_emitter.py
@@ -0,0 +1,54 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""ParquetTableEmitter module."""
+
+import logging
+import traceback
+
+import pandas as pd
+from pyarrow.lib import ArrowInvalid, ArrowTypeError
+
+from graphrag.index.storage import PipelineStorage
+from graphrag.index.typing import ErrorHandlerFn
+
+from .table_emitter import TableEmitter
+
+log = logging.getLogger(__name__)
+
+
+class ParquetTableEmitter(TableEmitter):
+    """ParquetTableEmitter class."""
+
+    _storage: PipelineStorage
+    _on_error: ErrorHandlerFn
+
+    def __init__(
+        self,
+        storage: PipelineStorage,
+        on_error: ErrorHandlerFn,
+    ):
+        """Create a new Parquet Table Emitter."""
+        self._storage = storage
+        self._on_error = on_error
+
+    async def emit(self, name: str, data: pd.DataFrame) -> None:
+        """Emit a dataframe to storage."""
+        filename = f"{name}.parquet"
+        log.info("emitting parquet table %s", filename)
+        try:
+            await self._storage.set(filename, data.to_parquet())
+        except ArrowTypeError as e:
+            log.exception("Error while emitting parquet table")
+            self._on_error(
+                e,
+                traceback.format_exc(),
+                None,
+            )
+        except ArrowInvalid as e:
+            log.exception("Error while emitting parquet table")
+            self._on_error(
+                e,
+                traceback.format_exc(),
+                None,
+            )
diff --git a/graphrag/graphrag/index/emit/table_emitter.py b/graphrag/graphrag/index/emit/table_emitter.py
new file mode 100644
index 0000000000000000000000000000000000000000..2161eeb52391c6a58942b366b257f59840bb6b08
--- /dev/null
+++ b/graphrag/graphrag/index/emit/table_emitter.py
@@ -0,0 +1,15 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""TableEmitter protocol for emitting tables to a destination."""
+
+from typing import Protocol
+
+import pandas as pd
+
+
+class TableEmitter(Protocol):
+    """TableEmitter protocol for emitting tables to a destination."""
+
+    async def emit(self, name: str, data: pd.DataFrame) -> None:
+        """Emit a dataframe to storage."""
diff --git a/graphrag/graphrag/index/emit/types.py b/graphrag/graphrag/index/emit/types.py
new file mode 100644
index 0000000000000000000000000000000000000000..ab3452856f4a4d7d564e829e7c37f7c35f4b4d40
--- /dev/null
+++ b/graphrag/graphrag/index/emit/types.py
@@ -0,0 +1,14 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Table Emitter Types."""
+
+from enum import Enum
+
+
+class TableEmitterType(str, Enum):
+    """Table Emitter Types."""
+
+    Json = "json"
+    Parquet = "parquet"
+    CSV = "csv"
diff --git a/graphrag/graphrag/index/errors.py b/graphrag/graphrag/index/errors.py
new file mode 100644
index 0000000000000000000000000000000000000000..430cf27d0f095af84d37510f7adaac62cfc21988
--- /dev/null
+++ b/graphrag/graphrag/index/errors.py
@@ -0,0 +1,25 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""GraphRAG indexing error types."""
+
+
+class NoWorkflowsDefinedError(ValueError):
+    """Exception for no workflows defined."""
+
+    def __init__(self):
+        super().__init__("No workflows defined.")
+
+
+class UndefinedWorkflowError(ValueError):
+    """Exception for invalid verb input."""
+
+    def __init__(self):
+        super().__init__("Workflow name is undefined.")
+
+
+class UnknownWorkflowError(ValueError):
+    """Exception for invalid verb input."""
+
+    def __init__(self, name: str):
+        super().__init__(f"Unknown workflow: {name}")
diff --git a/graphrag/graphrag/index/graph/__init__.py b/graphrag/graphrag/index/graph/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..cb26e595953daf91b391094695b66bf99b82837d
--- /dev/null
+++ b/graphrag/graphrag/index/graph/__init__.py
@@ -0,0 +1,4 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine graph package root."""
diff --git a/graphrag/graphrag/index/graph/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/index/graph/__pycache__/__init__.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..7cbdc7c0ba0cc6ea5662f250ef947c8af1a53631
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diff --git a/graphrag/graphrag/index/graph/embedding/__init__.py b/graphrag/graphrag/index/graph/embedding/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0ea2d085f197042cb569d3a5121eb2ad2aaca3ef
--- /dev/null
+++ b/graphrag/graphrag/index/graph/embedding/__init__.py
@@ -0,0 +1,8 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine graph embedding package root."""
+
+from .embedding import NodeEmbeddings, embed_nod2vec
+
+__all__ = ["NodeEmbeddings", "embed_nod2vec"]
diff --git a/graphrag/graphrag/index/graph/embedding/embedding.py b/graphrag/graphrag/index/graph/embedding/embedding.py
new file mode 100644
index 0000000000000000000000000000000000000000..267a190f914e09df8002807dd3a5797c54a5a868
--- /dev/null
+++ b/graphrag/graphrag/index/graph/embedding/embedding.py
@@ -0,0 +1,41 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Utilities to generate graph embeddings."""
+
+from dataclasses import dataclass
+
+import graspologic as gc
+import networkx as nx
+import numpy as np
+
+
+@dataclass
+class NodeEmbeddings:
+    """Node embeddings class definition."""
+
+    nodes: list[str]
+    embeddings: np.ndarray
+
+
+def embed_nod2vec(
+    graph: nx.Graph | nx.DiGraph,
+    dimensions: int = 1536,
+    num_walks: int = 10,
+    walk_length: int = 40,
+    window_size: int = 2,
+    iterations: int = 3,
+    random_seed: int = 86,
+) -> NodeEmbeddings:
+    """Generate node embeddings using Node2Vec."""
+    # generate embedding
+    lcc_tensors = gc.embed.node2vec_embed(  # type: ignore
+        graph=graph,
+        dimensions=dimensions,
+        window_size=window_size,
+        iterations=iterations,
+        num_walks=num_walks,
+        walk_length=walk_length,
+        random_seed=random_seed,
+    )
+    return NodeEmbeddings(embeddings=lcc_tensors[0], nodes=lcc_tensors[1])
diff --git a/graphrag/graphrag/index/graph/extractors/__init__.py b/graphrag/graphrag/index/graph/extractors/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..9168d5e2070a4a5391b1ac4847de22564895dfe9
--- /dev/null
+++ b/graphrag/graphrag/index/graph/extractors/__init__.py
@@ -0,0 +1,20 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine graph extractors package root."""
+
+from .claims import CLAIM_EXTRACTION_PROMPT, ClaimExtractor
+from .community_reports import (
+    COMMUNITY_REPORT_PROMPT,
+    CommunityReportsExtractor,
+)
+from .graph import GraphExtractionResult, GraphExtractor
+
+__all__ = [
+    "CLAIM_EXTRACTION_PROMPT",
+    "COMMUNITY_REPORT_PROMPT",
+    "ClaimExtractor",
+    "CommunityReportsExtractor",
+    "GraphExtractionResult",
+    "GraphExtractor",
+]
diff --git a/graphrag/graphrag/index/graph/extractors/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/index/graph/extractors/__pycache__/__init__.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..943922d92b4f5a0dbf9fdf92c4942c150f6cade2
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diff --git a/graphrag/graphrag/index/graph/extractors/claims/__init__.py b/graphrag/graphrag/index/graph/extractors/claims/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..3977c8ff83bff76a0aeedeed1c2aac33baf16e98
--- /dev/null
+++ b/graphrag/graphrag/index/graph/extractors/claims/__init__.py
@@ -0,0 +1,9 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine graph extractors claims package root."""
+
+from .claim_extractor import ClaimExtractor
+from .prompts import CLAIM_EXTRACTION_PROMPT
+
+__all__ = ["CLAIM_EXTRACTION_PROMPT", "ClaimExtractor"]
diff --git a/graphrag/graphrag/index/graph/extractors/claims/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/index/graph/extractors/claims/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/index/graph/extractors/claims/__pycache__/claim_extractor.cpython-310.pyc b/graphrag/graphrag/index/graph/extractors/claims/__pycache__/claim_extractor.cpython-310.pyc
new file mode 100644
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diff --git a/graphrag/graphrag/index/graph/extractors/claims/__pycache__/prompts.cpython-310.pyc b/graphrag/graphrag/index/graph/extractors/claims/__pycache__/prompts.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..1f31b98a0b85df72013489b8c56c1158aeef54cf
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diff --git a/graphrag/graphrag/index/graph/extractors/claims/claim_extractor.py b/graphrag/graphrag/index/graph/extractors/claims/claim_extractor.py
new file mode 100644
index 0000000000000000000000000000000000000000..e26d206949fa75dd2d26e75f7fab771ae117beab
--- /dev/null
+++ b/graphrag/graphrag/index/graph/extractors/claims/claim_extractor.py
@@ -0,0 +1,248 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'ClaimExtractorResult' and 'ClaimExtractor' models."""
+
+import logging
+import traceback
+from dataclasses import dataclass
+from typing import Any
+
+import tiktoken
+
+import graphrag.config.defaults as defs
+from graphrag.index.typing import ErrorHandlerFn
+from graphrag.llm import CompletionLLM
+
+from .prompts import (
+    CLAIM_EXTRACTION_PROMPT,
+    CONTINUE_PROMPT,
+    LOOP_PROMPT,
+)
+
+DEFAULT_TUPLE_DELIMITER = "<|>"
+DEFAULT_RECORD_DELIMITER = "##"
+DEFAULT_COMPLETION_DELIMITER = "<|COMPLETE|>"
+log = logging.getLogger(__name__)
+
+
+@dataclass
+class ClaimExtractorResult:
+    """Claim extractor result class definition."""
+
+    output: list[dict]
+    source_docs: dict[str, Any]
+
+
+class ClaimExtractor:
+    """Claim extractor class definition."""
+
+    _llm: CompletionLLM
+    _extraction_prompt: str
+    _summary_prompt: str
+    _output_formatter_prompt: str
+    _input_text_key: str
+    _input_entity_spec_key: str
+    _input_claim_description_key: str
+    _tuple_delimiter_key: str
+    _record_delimiter_key: str
+    _completion_delimiter_key: str
+    _max_gleanings: int
+    _on_error: ErrorHandlerFn
+
+    def __init__(
+        self,
+        llm_invoker: CompletionLLM,
+        extraction_prompt: str | None = None,
+        input_text_key: str | None = None,
+        input_entity_spec_key: str | None = None,
+        input_claim_description_key: str | None = None,
+        input_resolved_entities_key: str | None = None,
+        tuple_delimiter_key: str | None = None,
+        record_delimiter_key: str | None = None,
+        completion_delimiter_key: str | None = None,
+        encoding_model: str | None = None,
+        max_gleanings: int | None = None,
+        on_error: ErrorHandlerFn | None = None,
+    ):
+        """Init method definition."""
+        self._llm = llm_invoker
+        self._extraction_prompt = extraction_prompt or CLAIM_EXTRACTION_PROMPT
+        self._input_text_key = input_text_key or "input_text"
+        self._input_entity_spec_key = input_entity_spec_key or "entity_specs"
+        self._tuple_delimiter_key = tuple_delimiter_key or "tuple_delimiter"
+        self._record_delimiter_key = record_delimiter_key or "record_delimiter"
+        self._completion_delimiter_key = (
+            completion_delimiter_key or "completion_delimiter"
+        )
+        self._input_claim_description_key = (
+            input_claim_description_key or "claim_description"
+        )
+        self._input_resolved_entities_key = (
+            input_resolved_entities_key or "resolved_entities"
+        )
+        self._max_gleanings = (
+            max_gleanings if max_gleanings is not None else defs.CLAIM_MAX_GLEANINGS
+        )
+        self._on_error = on_error or (lambda _e, _s, _d: None)
+
+        # Construct the looping arguments
+        encoding = tiktoken.get_encoding(encoding_model or "cl100k_base")
+        yes = encoding.encode("YES")
+        no = encoding.encode("NO")
+        self._loop_args = {"logit_bias": {yes[0]: 100, no[0]: 100}, "max_tokens": 1}
+
+    async def __call__(
+        self, inputs: dict[str, Any], prompt_variables: dict | None = None
+    ) -> ClaimExtractorResult:
+        """Call method definition."""
+        if prompt_variables is None:
+            prompt_variables = {}
+        texts = inputs[self._input_text_key]
+        entity_spec = str(inputs[self._input_entity_spec_key])
+        claim_description = inputs[self._input_claim_description_key]
+        resolved_entities = inputs.get(self._input_resolved_entities_key, {})
+        source_doc_map = {}
+
+        prompt_args = {
+            self._input_entity_spec_key: entity_spec,
+            self._input_claim_description_key: claim_description,
+            self._tuple_delimiter_key: prompt_variables.get(self._tuple_delimiter_key)
+            or DEFAULT_TUPLE_DELIMITER,
+            self._record_delimiter_key: prompt_variables.get(self._record_delimiter_key)
+            or DEFAULT_RECORD_DELIMITER,
+            self._completion_delimiter_key: prompt_variables.get(
+                self._completion_delimiter_key
+            )
+            or DEFAULT_COMPLETION_DELIMITER,
+        }
+
+        all_claims: list[dict] = []
+        for doc_index, text in enumerate(texts):
+            document_id = f"d{doc_index}"
+            try:
+                claims = await self._process_document(prompt_args, text, doc_index)
+                all_claims += [
+                    self._clean_claim(c, document_id, resolved_entities) for c in claims
+                ]
+                source_doc_map[document_id] = text
+            except Exception as e:
+                log.exception("error extracting claim")
+                self._on_error(
+                    e,
+                    traceback.format_exc(),
+                    {"doc_index": doc_index, "text": text},
+                )
+                continue
+
+        return ClaimExtractorResult(
+            output=all_claims,
+            source_docs=source_doc_map,
+        )
+
+    def _clean_claim(
+        self, claim: dict, document_id: str, resolved_entities: dict
+    ) -> dict:
+        # clean the parsed claims to remove any claims with status = False
+        obj = claim.get("object_id", claim.get("object"))
+        subject = claim.get("subject_id", claim.get("subject"))
+
+        # If subject or object in resolved entities, then replace with resolved entity
+        obj = resolved_entities.get(obj, obj)
+        subject = resolved_entities.get(subject, subject)
+        claim["object_id"] = obj
+        claim["subject_id"] = subject
+        claim["doc_id"] = document_id
+        return claim
+
+    async def _process_document(
+        self, prompt_args: dict, doc, doc_index: int
+    ) -> list[dict]:
+        record_delimiter = prompt_args.get(
+            self._record_delimiter_key, DEFAULT_RECORD_DELIMITER
+        )
+        completion_delimiter = prompt_args.get(
+            self._completion_delimiter_key, DEFAULT_COMPLETION_DELIMITER
+        )
+
+        response = await self._llm(
+            self._extraction_prompt,
+            variables={
+                self._input_text_key: doc,
+                **prompt_args,
+            },
+        )
+        results = response.output or ""
+        claims = results.strip().removesuffix(completion_delimiter)
+
+        # Repeat to ensure we maximize entity count
+        for i in range(self._max_gleanings):
+            glean_response = await self._llm(
+                CONTINUE_PROMPT,
+                name=f"extract-continuation-{i}",
+                history=response.history or [],
+            )
+            extension = glean_response.output or ""
+            claims += record_delimiter + extension.strip().removesuffix(
+                completion_delimiter
+            )
+
+            # If this isn't the last loop, check to see if we should continue
+            if i >= self._max_gleanings - 1:
+                break
+
+            continue_response = await self._llm(
+                LOOP_PROMPT,
+                name=f"extract-loopcheck-{i}",
+                history=glean_response.history or [],
+                model_parameters=self._loop_args,
+            )
+            if continue_response.output != "YES":
+                break
+
+        result = self._parse_claim_tuples(results, prompt_args)
+        for r in result:
+            r["doc_id"] = f"{doc_index}"
+        return result
+
+    def _parse_claim_tuples(
+        self, claims: str, prompt_variables: dict
+    ) -> list[dict[str, Any]]:
+        """Parse claim tuples."""
+        record_delimiter = prompt_variables.get(
+            self._record_delimiter_key, DEFAULT_RECORD_DELIMITER
+        )
+        completion_delimiter = prompt_variables.get(
+            self._completion_delimiter_key, DEFAULT_COMPLETION_DELIMITER
+        )
+        tuple_delimiter = prompt_variables.get(
+            self._tuple_delimiter_key, DEFAULT_TUPLE_DELIMITER
+        )
+
+        def pull_field(index: int, fields: list[str]) -> str | None:
+            return fields[index].strip() if len(fields) > index else None
+
+        result: list[dict[str, Any]] = []
+        claims_values = (
+            claims.strip().removesuffix(completion_delimiter).split(record_delimiter)
+        )
+        for claim in claims_values:
+            claim = claim.strip().removeprefix("(").removesuffix(")")
+
+            # Ignore the completion delimiter
+            if claim == completion_delimiter:
+                continue
+
+            claim_fields = claim.split(tuple_delimiter)
+            result.append({
+                "subject_id": pull_field(0, claim_fields),
+                "object_id": pull_field(1, claim_fields),
+                "type": pull_field(2, claim_fields),
+                "status": pull_field(3, claim_fields),
+                "start_date": pull_field(4, claim_fields),
+                "end_date": pull_field(5, claim_fields),
+                "description": pull_field(6, claim_fields),
+                "source_text": pull_field(7, claim_fields),
+                "doc_id": pull_field(8, claim_fields),
+            })
+        return result
diff --git a/graphrag/graphrag/index/graph/extractors/claims/prompts.py b/graphrag/graphrag/index/graph/extractors/claims/prompts.py
new file mode 100644
index 0000000000000000000000000000000000000000..05b3153c2004e4d541c1a466db88cafcaf7c1345
--- /dev/null
+++ b/graphrag/graphrag/index/graph/extractors/claims/prompts.py
@@ -0,0 +1,61 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A file containing prompts definition."""
+
+CLAIM_EXTRACTION_PROMPT = """
+-Target activity-
+You are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.
+
+-Goal-
+Given a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.
+
+-Steps-
+1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.
+2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.
+For each claim, extract the following information:
+- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.
+- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.
+- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type
+- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.
+- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.
+- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.
+- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.
+
+Format each claim as (<subject_entity>{tuple_delimiter}<object_entity>{tuple_delimiter}<claim_type>{tuple_delimiter}<claim_status>{tuple_delimiter}<claim_start_date>{tuple_delimiter}<claim_end_date>{tuple_delimiter}<claim_description>{tuple_delimiter}<claim_source>)
+
+3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **{record_delimiter}** as the list delimiter.
+
+4. When finished, output {completion_delimiter}
+
+-Examples-
+Example 1:
+Entity specification: organization
+Claim description: red flags associated with an entity
+Text: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.
+Output:
+
+(COMPANY A{tuple_delimiter}GOVERNMENT AGENCY B{tuple_delimiter}ANTI-COMPETITIVE PRACTICES{tuple_delimiter}TRUE{tuple_delimiter}2022-01-10T00:00:00{tuple_delimiter}2022-01-10T00:00:00{tuple_delimiter}Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10{tuple_delimiter}According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)
+{completion_delimiter}
+
+Example 2:
+Entity specification: Company A, Person C
+Claim description: red flags associated with an entity
+Text: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.
+Output:
+
+(COMPANY A{tuple_delimiter}GOVERNMENT AGENCY B{tuple_delimiter}ANTI-COMPETITIVE PRACTICES{tuple_delimiter}TRUE{tuple_delimiter}2022-01-10T00:00:00{tuple_delimiter}2022-01-10T00:00:00{tuple_delimiter}Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10{tuple_delimiter}According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)
+{record_delimiter}
+(PERSON C{tuple_delimiter}NONE{tuple_delimiter}CORRUPTION{tuple_delimiter}SUSPECTED{tuple_delimiter}2015-01-01T00:00:00{tuple_delimiter}2015-12-30T00:00:00{tuple_delimiter}Person C was suspected of engaging in corruption activities in 2015{tuple_delimiter}The company is owned by Person C who was suspected of engaging in corruption activities in 2015)
+{completion_delimiter}
+
+-Real Data-
+Use the following input for your answer.
+Entity specification: {entity_specs}
+Claim description: {claim_description}
+Text: {input_text}
+Output:"""
+
+
+CONTINUE_PROMPT = "MANY entities were missed in the last extraction.  Add them below using the same format:\n"
+LOOP_PROMPT = "It appears some entities may have still been missed.  Answer YES {tuple_delimiter} NO if there are still entities that need to be added.\n"
diff --git a/graphrag/graphrag/index/graph/extractors/community_reports/__init__.py b/graphrag/graphrag/index/graph/extractors/community_reports/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..599f56d60f22b3635081c66c6eba08da7cad3ae1
--- /dev/null
+++ b/graphrag/graphrag/index/graph/extractors/community_reports/__init__.py
@@ -0,0 +1,35 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine community reports package root."""
+
+import graphrag.index.graph.extractors.community_reports.schemas as schemas
+
+from .build_mixed_context import build_mixed_context
+from .community_reports_extractor import CommunityReportsExtractor
+from .prep_community_report_context import prep_community_report_context
+from .prompts import COMMUNITY_REPORT_PROMPT
+from .sort_context import sort_context
+from .utils import (
+    filter_claims_to_nodes,
+    filter_edges_to_nodes,
+    filter_nodes_to_level,
+    get_levels,
+    set_context_exceeds_flag,
+    set_context_size,
+)
+
+__all__ = [
+    "COMMUNITY_REPORT_PROMPT",
+    "CommunityReportsExtractor",
+    "build_mixed_context",
+    "filter_claims_to_nodes",
+    "filter_edges_to_nodes",
+    "filter_nodes_to_level",
+    "get_levels",
+    "prep_community_report_context",
+    "schemas",
+    "set_context_exceeds_flag",
+    "set_context_size",
+    "sort_context",
+]
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diff --git a/graphrag/graphrag/index/graph/extractors/community_reports/build_mixed_context.py b/graphrag/graphrag/index/graph/extractors/community_reports/build_mixed_context.py
new file mode 100644
index 0000000000000000000000000000000000000000..ad9e2a8447b772419311acd5ed0974bab3c850b2
--- /dev/null
+++ b/graphrag/graphrag/index/graph/extractors/community_reports/build_mixed_context.py
@@ -0,0 +1,69 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+"""A module containing the build_mixed_context method definition."""
+
+import pandas as pd
+
+import graphrag.index.graph.extractors.community_reports.schemas as schemas
+from graphrag.query.llm.text_utils import num_tokens
+
+from .sort_context import sort_context
+
+
+def build_mixed_context(context: list[dict], max_tokens: int) -> str:
+    """
+    Build parent context by concatenating all sub-communities' contexts.
+
+    If the context exceeds the limit, we use sub-community reports instead.
+    """
+    sorted_context = sorted(
+        context, key=lambda x: x[schemas.CONTEXT_SIZE], reverse=True
+    )
+
+    # replace local context with sub-community reports, starting from the biggest sub-community
+    substitute_reports = []
+    final_local_contexts = []
+    exceeded_limit = True
+    context_string = ""
+
+    for idx, sub_community_context in enumerate(sorted_context):
+        if exceeded_limit:
+            if sub_community_context[schemas.FULL_CONTENT]:
+                substitute_reports.append({
+                    schemas.COMMUNITY_ID: sub_community_context[schemas.SUB_COMMUNITY],
+                    schemas.FULL_CONTENT: sub_community_context[schemas.FULL_CONTENT],
+                })
+            else:
+                # this sub-community has no report, so we will use its local context
+                final_local_contexts.extend(sub_community_context[schemas.ALL_CONTEXT])
+                continue
+
+            # add local context for the remaining sub-communities
+            remaining_local_context = []
+            for rid in range(idx + 1, len(sorted_context)):
+                remaining_local_context.extend(sorted_context[rid][schemas.ALL_CONTEXT])
+            new_context_string = sort_context(
+                local_context=remaining_local_context + final_local_contexts,
+                sub_community_reports=substitute_reports,
+            )
+            if num_tokens(new_context_string) <= max_tokens:
+                exceeded_limit = False
+                context_string = new_context_string
+                break
+
+    if exceeded_limit:
+        # if all sub-community reports exceed the limit, we add reports until context is full
+        substitute_reports = []
+        for sub_community_context in sorted_context:
+            substitute_reports.append({
+                schemas.COMMUNITY_ID: sub_community_context[schemas.SUB_COMMUNITY],
+                schemas.FULL_CONTENT: sub_community_context[schemas.FULL_CONTENT],
+            })
+            new_context_string = pd.DataFrame(substitute_reports).to_csv(
+                index=False, sep=","
+            )
+            if num_tokens(new_context_string) > max_tokens:
+                break
+
+            context_string = new_context_string
+    return context_string
diff --git a/graphrag/graphrag/index/graph/extractors/community_reports/community_reports_extractor.py b/graphrag/graphrag/index/graph/extractors/community_reports/community_reports_extractor.py
new file mode 100644
index 0000000000000000000000000000000000000000..309336fee77507e761b021db71221e8e697cb71f
--- /dev/null
+++ b/graphrag/graphrag/index/graph/extractors/community_reports/community_reports_extractor.py
@@ -0,0 +1,107 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'CommunityReportsResult' and 'CommunityReportsExtractor' models."""
+
+import logging
+import traceback
+from dataclasses import dataclass
+from typing import Any
+
+from graphrag.index.typing import ErrorHandlerFn
+from graphrag.index.utils import dict_has_keys_with_types
+from graphrag.llm import CompletionLLM
+
+from .prompts import COMMUNITY_REPORT_PROMPT
+
+log = logging.getLogger(__name__)
+
+
+@dataclass
+class CommunityReportsResult:
+    """Community reports result class definition."""
+
+    output: str
+    structured_output: dict
+
+
+class CommunityReportsExtractor:
+    """Community reports extractor class definition."""
+
+    _llm: CompletionLLM
+    _input_text_key: str
+    _extraction_prompt: str
+    _output_formatter_prompt: str
+    _on_error: ErrorHandlerFn
+    _max_report_length: int
+
+    def __init__(
+        self,
+        llm_invoker: CompletionLLM,
+        input_text_key: str | None = None,
+        extraction_prompt: str | None = None,
+        on_error: ErrorHandlerFn | None = None,
+        max_report_length: int | None = None,
+    ):
+        """Init method definition."""
+        self._llm = llm_invoker
+        self._input_text_key = input_text_key or "input_text"
+        self._extraction_prompt = extraction_prompt or COMMUNITY_REPORT_PROMPT
+        self._on_error = on_error or (lambda _e, _s, _d: None)
+        self._max_report_length = max_report_length or 1500
+
+    async def __call__(self, inputs: dict[str, Any]):
+        """Call method definition."""
+        output = None
+        try:
+            response = (
+                await self._llm(
+                    self._extraction_prompt,
+                    json=True,
+                    name="create_community_report",
+                    variables={self._input_text_key: inputs[self._input_text_key]},
+                    is_response_valid=lambda x: dict_has_keys_with_types(
+                        x,
+                        [
+                            ("title", str),
+                            ("summary", str),
+                            ("findings", list),
+                            ("rating", float),
+                            ("rating_explanation", str),
+                        ],
+                    ),
+                    model_parameters={"max_tokens": self._max_report_length},
+                )
+                or {}
+            )
+            output = response.json or {}
+        except Exception as e:
+            log.exception("error generating community report")
+            self._on_error(e, traceback.format_exc(), None)
+            output = {}
+
+        text_output = self._get_text_output(output)
+        return CommunityReportsResult(
+            structured_output=output,
+            output=text_output,
+        )
+
+    def _get_text_output(self, parsed_output: dict) -> str:
+        title = parsed_output.get("title", "Report")
+        summary = parsed_output.get("summary", "")
+        findings = parsed_output.get("findings", [])
+
+        def finding_summary(finding: dict):
+            if isinstance(finding, str):
+                return finding
+            return finding.get("summary")
+
+        def finding_explanation(finding: dict):
+            if isinstance(finding, str):
+                return ""
+            return finding.get("explanation")
+
+        report_sections = "\n\n".join(
+            f"## {finding_summary(f)}\n\n{finding_explanation(f)}" for f in findings
+        )
+        return f"# {title}\n\n{summary}\n\n{report_sections}"
diff --git a/graphrag/graphrag/index/graph/extractors/community_reports/prep_community_report_context.py b/graphrag/graphrag/index/graph/extractors/community_reports/prep_community_report_context.py
new file mode 100644
index 0000000000000000000000000000000000000000..2ec42220246559fd827bdf1df58a32632ecac8cf
--- /dev/null
+++ b/graphrag/graphrag/index/graph/extractors/community_reports/prep_community_report_context.py
@@ -0,0 +1,181 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing create_community_reports and load_strategy methods definition."""
+
+import logging
+from typing import cast
+
+import pandas as pd
+
+import graphrag.index.graph.extractors.community_reports.schemas as schemas
+from graphrag.index.utils.dataframes import (
+    antijoin,
+    drop_columns,
+    join,
+    select,
+    transform_series,
+    union,
+    where_column_equals,
+)
+
+from .build_mixed_context import build_mixed_context
+from .sort_context import sort_context
+from .utils import set_context_size
+
+log = logging.getLogger(__name__)
+
+
+def prep_community_report_context(
+    report_df: pd.DataFrame | None,
+    community_hierarchy_df: pd.DataFrame,
+    local_context_df: pd.DataFrame,
+    level: int | str,
+    max_tokens: int,
+) -> pd.DataFrame:
+    """
+    Prep context for each community in a given level.
+
+    For each community:
+    - Check if local context fits within the limit, if yes use local context
+    - If local context exceeds the limit, iteratively replace local context with sub-community reports, starting from the biggest sub-community
+    """
+    if report_df is None:
+        report_df = pd.DataFrame()
+
+    level = int(level)
+    level_context_df = _at_level(level, local_context_df)
+    valid_context_df = _within_context(level_context_df)
+    invalid_context_df = _exceeding_context(level_context_df)
+
+    # there is no report to substitute with, so we just trim the local context of the invalid context records
+    # this case should only happen at the bottom level of the community hierarchy where there are no sub-communities
+    if invalid_context_df.empty:
+        return valid_context_df
+
+    if report_df.empty:
+        invalid_context_df[schemas.CONTEXT_STRING] = _sort_and_trim_context(
+            invalid_context_df, max_tokens
+        )
+        set_context_size(invalid_context_df)
+        invalid_context_df[schemas.CONTEXT_EXCEED_FLAG] = 0
+        return union(valid_context_df, invalid_context_df)
+
+    level_context_df = _antijoin_reports(level_context_df, report_df)
+
+    # for each invalid context, we will try to substitute with sub-community reports
+    # first get local context and report (if available) for each sub-community
+    sub_context_df = _get_subcontext_df(level + 1, report_df, local_context_df)
+    community_df = _get_community_df(
+        level, invalid_context_df, sub_context_df, community_hierarchy_df, max_tokens
+    )
+
+    # handle any remaining invalid records that can't be subsituted with sub-community reports
+    # this should be rare, but if it happens, we will just trim the local context to fit the limit
+    remaining_df = _antijoin_reports(invalid_context_df, community_df)
+    remaining_df[schemas.CONTEXT_STRING] = _sort_and_trim_context(
+        remaining_df, max_tokens
+    )
+
+    result = union(valid_context_df, community_df, remaining_df)
+    set_context_size(result)
+    result[schemas.CONTEXT_EXCEED_FLAG] = 0
+    return result
+
+
+def _drop_community_level(df: pd.DataFrame) -> pd.DataFrame:
+    """Drop the community level column from the dataframe."""
+    return drop_columns(df, schemas.COMMUNITY_LEVEL)
+
+
+def _at_level(level: int, df: pd.DataFrame) -> pd.DataFrame:
+    """Return records at the given level."""
+    return where_column_equals(df, schemas.COMMUNITY_LEVEL, level)
+
+
+def _exceeding_context(df: pd.DataFrame) -> pd.DataFrame:
+    """Return records where the context exceeds the limit."""
+    return where_column_equals(df, schemas.CONTEXT_EXCEED_FLAG, 1)
+
+
+def _within_context(df: pd.DataFrame) -> pd.DataFrame:
+    """Return records where the context is within the limit."""
+    return where_column_equals(df, schemas.CONTEXT_EXCEED_FLAG, 0)
+
+
+def _antijoin_reports(df: pd.DataFrame, reports: pd.DataFrame) -> pd.DataFrame:
+    """Return records in df that are not in reports."""
+    return antijoin(df, reports, schemas.NODE_COMMUNITY)
+
+
+def _sort_and_trim_context(df: pd.DataFrame, max_tokens: int) -> pd.Series:
+    """Sort and trim context to fit the limit."""
+    series = cast(pd.Series, df[schemas.ALL_CONTEXT])
+    return transform_series(series, lambda x: sort_context(x, max_tokens=max_tokens))
+
+
+def _build_mixed_context(df: pd.DataFrame, max_tokens: int) -> pd.Series:
+    """Sort and trim context to fit the limit."""
+    series = cast(pd.Series, df[schemas.ALL_CONTEXT])
+    return transform_series(
+        series, lambda x: build_mixed_context(x, max_tokens=max_tokens)
+    )
+
+
+def _get_subcontext_df(
+    level: int, report_df: pd.DataFrame, local_context_df: pd.DataFrame
+) -> pd.DataFrame:
+    """Get sub-community context for each community."""
+    sub_report_df = _drop_community_level(_at_level(level, report_df))
+    sub_context_df = _at_level(level, local_context_df)
+    sub_context_df = join(sub_context_df, sub_report_df, schemas.NODE_COMMUNITY)
+    sub_context_df.rename(
+        columns={schemas.NODE_COMMUNITY: schemas.SUB_COMMUNITY}, inplace=True
+    )
+    return sub_context_df
+
+
+def _get_community_df(
+    level: int,
+    invalid_context_df: pd.DataFrame,
+    sub_context_df: pd.DataFrame,
+    community_hierarchy_df: pd.DataFrame,
+    max_tokens: int,
+) -> pd.DataFrame:
+    """Get community context for each community."""
+    # collect all sub communities' contexts for each community
+    community_df = _drop_community_level(_at_level(level, community_hierarchy_df))
+    invalid_community_ids = select(invalid_context_df, schemas.NODE_COMMUNITY)
+    subcontext_selection = select(
+        sub_context_df,
+        schemas.SUB_COMMUNITY,
+        schemas.FULL_CONTENT,
+        schemas.ALL_CONTEXT,
+        schemas.CONTEXT_SIZE,
+    )
+
+    invalid_communities = join(
+        community_df, invalid_community_ids, schemas.NODE_COMMUNITY, "inner"
+    )
+    community_df = join(
+        invalid_communities, subcontext_selection, schemas.SUB_COMMUNITY
+    )
+    community_df[schemas.ALL_CONTEXT] = community_df.apply(
+        lambda x: {
+            schemas.SUB_COMMUNITY: x[schemas.SUB_COMMUNITY],
+            schemas.ALL_CONTEXT: x[schemas.ALL_CONTEXT],
+            schemas.FULL_CONTENT: x[schemas.FULL_CONTENT],
+            schemas.CONTEXT_SIZE: x[schemas.CONTEXT_SIZE],
+        },
+        axis=1,
+    )
+    community_df = (
+        community_df.groupby(schemas.NODE_COMMUNITY)
+        .agg({schemas.ALL_CONTEXT: list})
+        .reset_index()
+    )
+    community_df[schemas.CONTEXT_STRING] = _build_mixed_context(
+        community_df, max_tokens
+    )
+    community_df[schemas.COMMUNITY_LEVEL] = level
+    return community_df
diff --git a/graphrag/graphrag/index/graph/extractors/community_reports/prompts.py b/graphrag/graphrag/index/graph/extractors/community_reports/prompts.py
new file mode 100644
index 0000000000000000000000000000000000000000..35ca38bc8b6c97d37e73f86d934c74a7386245f6
--- /dev/null
+++ b/graphrag/graphrag/index/graph/extractors/community_reports/prompts.py
@@ -0,0 +1,150 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+"""A file containing prompts definition."""
+
+COMMUNITY_REPORT_PROMPT = """
+You are an AI assistant that helps a human analyst to perform general information discovery. Information discovery is the process of identifying and assessing relevant information associated with certain entities (e.g., organizations and individuals) within a network.
+
+# Goal
+Write a comprehensive report of a community, given a list of entities that belong to the community as well as their relationships and optional associated claims. The report will be used to inform decision-makers about information associated with the community and their potential impact. The content of this report includes an overview of the community's key entities, their legal compliance, technical capabilities, reputation, and noteworthy claims.
+
+# Report Structure
+
+The report should include the following sections:
+
+- TITLE: community's name that represents its key entities - title should be short but specific. When possible, include representative named entities in the title.
+- SUMMARY: An executive summary of the community's overall structure, how its entities are related to each other, and significant information associated with its entities.
+- IMPACT SEVERITY RATING: a float score between 0-10 that represents the severity of IMPACT posed by entities within the community.  IMPACT is the scored importance of a community.
+- RATING EXPLANATION: Give a single sentence explanation of the IMPACT severity rating.
+- DETAILED FINDINGS: A list of 5-10 key insights about the community. Each insight should have a short summary followed by multiple paragraphs of explanatory text grounded according to the grounding rules below. Be comprehensive.
+
+Return output as a well-formed JSON-formatted string with the following format:
+    {{
+        "title": <report_title>,
+        "summary": <executive_summary>,
+        "rating": <impact_severity_rating>,
+        "rating_explanation": <rating_explanation>,
+        "findings": [
+            {{
+                "summary":<insight_1_summary>,
+                "explanation": <insight_1_explanation>
+            }},
+            {{
+                "summary":<insight_2_summary>,
+                "explanation": <insight_2_explanation>
+            }}
+        ]
+    }}
+
+# Grounding Rules
+
+Points supported by data should list their data references as follows:
+
+"This is an example sentence supported by multiple data references [Data: <dataset name> (record ids); <dataset name> (record ids)]."
+
+Do not list more than 5 record ids in a single reference. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more.
+
+For example:
+"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Reports (1), Entities (5, 7); Relationships (23); Claims (7, 2, 34, 64, 46, +more)]."
+
+where 1, 5, 7, 23, 2, 34, 46, and 64 represent the id (not the index) of the relevant data record.
+
+Do not include information where the supporting evidence for it is not provided.
+
+
+# Example Input
+-----------
+Text:
+
+Entities
+
+id,entity,description
+5,VERDANT OASIS PLAZA,Verdant Oasis Plaza is the location of the Unity March
+6,HARMONY ASSEMBLY,Harmony Assembly is an organization that is holding a march at Verdant Oasis Plaza
+
+Relationships
+
+id,source,target,description
+37,VERDANT OASIS PLAZA,UNITY MARCH,Verdant Oasis Plaza is the location of the Unity March
+38,VERDANT OASIS PLAZA,HARMONY ASSEMBLY,Harmony Assembly is holding a march at Verdant Oasis Plaza
+39,VERDANT OASIS PLAZA,UNITY MARCH,The Unity March is taking place at Verdant Oasis Plaza
+40,VERDANT OASIS PLAZA,TRIBUNE SPOTLIGHT,Tribune Spotlight is reporting on the Unity march taking place at Verdant Oasis Plaza
+41,VERDANT OASIS PLAZA,BAILEY ASADI,Bailey Asadi is speaking at Verdant Oasis Plaza about the march
+43,HARMONY ASSEMBLY,UNITY MARCH,Harmony Assembly is organizing the Unity March
+
+Output:
+{{
+    "title": "Verdant Oasis Plaza and Unity March",
+    "summary": "The community revolves around the Verdant Oasis Plaza, which is the location of the Unity March. The plaza has relationships with the Harmony Assembly, Unity March, and Tribune Spotlight, all of which are associated with the march event.",
+    "rating": 5.0,
+    "rating_explanation": "The impact severity rating is moderate due to the potential for unrest or conflict during the Unity March.",
+    "findings": [
+        {{
+            "summary": "Verdant Oasis Plaza as the central location",
+            "explanation": "Verdant Oasis Plaza is the central entity in this community, serving as the location for the Unity March. This plaza is the common link between all other entities, suggesting its significance in the community. The plaza's association with the march could potentially lead to issues such as public disorder or conflict, depending on the nature of the march and the reactions it provokes. [Data: Entities (5), Relationships (37, 38, 39, 40, 41,+more)]"
+        }},
+        {{
+            "summary": "Harmony Assembly's role in the community",
+            "explanation": "Harmony Assembly is another key entity in this community, being the organizer of the march at Verdant Oasis Plaza. The nature of Harmony Assembly and its march could be a potential source of threat, depending on their objectives and the reactions they provoke. The relationship between Harmony Assembly and the plaza is crucial in understanding the dynamics of this community. [Data: Entities(6), Relationships (38, 43)]"
+        }},
+        {{
+            "summary": "Unity March as a significant event",
+            "explanation": "The Unity March is a significant event taking place at Verdant Oasis Plaza. This event is a key factor in the community's dynamics and could be a potential source of threat, depending on the nature of the march and the reactions it provokes. The relationship between the march and the plaza is crucial in understanding the dynamics of this community. [Data: Relationships (39)]"
+        }},
+        {{
+            "summary": "Role of Tribune Spotlight",
+            "explanation": "Tribune Spotlight is reporting on the Unity March taking place in Verdant Oasis Plaza. This suggests that the event has attracted media attention, which could amplify its impact on the community. The role of Tribune Spotlight could be significant in shaping public perception of the event and the entities involved. [Data: Relationships (40)]"
+        }}
+    ]
+}}
+
+
+# Real Data
+
+Use the following text for your answer. Do not make anything up in your answer.
+
+Text:
+{input_text}
+
+The report should include the following sections:
+
+- TITLE: community's name that represents its key entities - title should be short but specific. When possible, include representative named entities in the title.
+- SUMMARY: An executive summary of the community's overall structure, how its entities are related to each other, and significant information associated with its entities.
+- IMPACT SEVERITY RATING: a float score between 0-10 that represents the severity of IMPACT posed by entities within the community.  IMPACT is the scored importance of a community.
+- RATING EXPLANATION: Give a single sentence explanation of the IMPACT severity rating.
+- DETAILED FINDINGS: A list of 5-10 key insights about the community. Each insight should have a short summary followed by multiple paragraphs of explanatory text grounded according to the grounding rules below. Be comprehensive.
+
+Return output as a well-formed JSON-formatted string with the following format:
+    {{
+        "title": <report_title>,
+        "summary": <executive_summary>,
+        "rating": <impact_severity_rating>,
+        "rating_explanation": <rating_explanation>,
+        "findings": [
+            {{
+                "summary":<insight_1_summary>,
+                "explanation": <insight_1_explanation>
+            }},
+            {{
+                "summary":<insight_2_summary>,
+                "explanation": <insight_2_explanation>
+            }}
+        ]
+    }}
+
+# Grounding Rules
+
+Points supported by data should list their data references as follows:
+
+"This is an example sentence supported by multiple data references [Data: <dataset name> (record ids); <dataset name> (record ids)]."
+
+Do not list more than 5 record ids in a single reference. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more.
+
+For example:
+"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Reports (1), Entities (5, 7); Relationships (23); Claims (7, 2, 34, 64, 46, +more)]."
+
+where 1, 5, 7, 23, 2, 34, 46, and 64 represent the id (not the index) of the relevant data record.
+
+Do not include information where the supporting evidence for it is not provided.
+
+Output:"""
diff --git a/graphrag/graphrag/index/graph/extractors/community_reports/schemas.py b/graphrag/graphrag/index/graph/extractors/community_reports/schemas.py
new file mode 100644
index 0000000000000000000000000000000000000000..8e89e0273c9f5d51fc927891acb086db3fbf5bff
--- /dev/null
+++ b/graphrag/graphrag/index/graph/extractors/community_reports/schemas.py
@@ -0,0 +1,52 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+"""Common field name definitions for community reports."""
+
+# POST-PREP NODE TABLE SCHEMA
+NODE_ID = "human_readable_id"
+NODE_NAME = "title"
+NODE_DESCRIPTION = "description"
+NODE_DEGREE = "degree"
+NODE_DETAILS = "node_details"
+NODE_COMMUNITY = "community"
+NODE_LEVEL = "level"
+
+# POST-PREP EDGE TABLE SCHEMA
+EDGE_ID = "human_readable_id"
+EDGE_SOURCE = "source"
+EDGE_TARGET = "target"
+EDGE_DESCRIPTION = "description"
+EDGE_DEGREE = "rank"
+EDGE_DETAILS = "edge_details"
+EDGE_WEIGHT = "weight"
+
+# POST-PREP CLAIM TABLE SCHEMA
+CLAIM_ID = "human_readable_id"
+CLAIM_SUBJECT = "subject_id"
+CLAIM_TYPE = "type"
+CLAIM_STATUS = "status"
+CLAIM_DESCRIPTION = "description"
+CLAIM_DETAILS = "claim_details"
+
+# COMMUNITY HIERARCHY TABLE SCHEMA
+SUB_COMMUNITY = "sub_communitty"
+SUB_COMMUNITY_SIZE = "sub_community_size"
+COMMUNITY_LEVEL = "level"
+
+# COMMUNITY CONTEXT TABLE SCHEMA
+ALL_CONTEXT = "all_context"
+CONTEXT_STRING = "context_string"
+CONTEXT_SIZE = "context_size"
+CONTEXT_EXCEED_FLAG = "context_exceed_limit"
+
+# COMMUNITY REPORT TABLE SCHEMA
+REPORT_ID = "id"
+COMMUNITY_ID = "id"
+COMMUNITY_LEVEL = "level"
+TITLE = "title"
+SUMMARY = "summary"
+FINDINGS = "findings"
+RATING = "rank"
+EXPLANATION = "rating_explanation"
+FULL_CONTENT = "full_content"
+FULL_CONTENT_JSON = "full_content_json"
diff --git a/graphrag/graphrag/index/graph/extractors/community_reports/sort_context.py b/graphrag/graphrag/index/graph/extractors/community_reports/sort_context.py
new file mode 100644
index 0000000000000000000000000000000000000000..811cb7e95c75476a18a4e217dfa1779a5cbc41d7
--- /dev/null
+++ b/graphrag/graphrag/index/graph/extractors/community_reports/sort_context.py
@@ -0,0 +1,156 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+"""Sort context by degree in descending order."""
+
+import pandas as pd
+
+import graphrag.index.graph.extractors.community_reports.schemas as schemas
+from graphrag.query.llm.text_utils import num_tokens
+
+
+def sort_context(
+    local_context: list[dict],
+    sub_community_reports: list[dict] | None = None,
+    max_tokens: int | None = None,
+    node_id_column: str = schemas.NODE_ID,
+    node_name_column: str = schemas.NODE_NAME,
+    node_details_column: str = schemas.NODE_DETAILS,
+    edge_id_column: str = schemas.EDGE_ID,
+    edge_details_column: str = schemas.EDGE_DETAILS,
+    edge_degree_column: str = schemas.EDGE_DEGREE,
+    edge_source_column: str = schemas.EDGE_SOURCE,
+    edge_target_column: str = schemas.EDGE_TARGET,
+    claim_id_column: str = schemas.CLAIM_ID,
+    claim_details_column: str = schemas.CLAIM_DETAILS,
+    community_id_column: str = schemas.COMMUNITY_ID,
+) -> str:
+    """Sort context by degree in descending order.
+
+    If max tokens is provided, we will return the context string that fits within the token limit.
+    """
+
+    def _get_context_string(
+        entities: list[dict],
+        edges: list[dict],
+        claims: list[dict],
+        sub_community_reports: list[dict] | None = None,
+    ) -> str:
+        """Concatenate structured data into a context string."""
+        contexts = []
+        if sub_community_reports:
+            sub_community_reports = [
+                report
+                for report in sub_community_reports
+                if community_id_column in report
+                and report[community_id_column]
+                and str(report[community_id_column]).strip() != ""
+            ]
+            report_df = pd.DataFrame(sub_community_reports).drop_duplicates()
+            if not report_df.empty:
+                if report_df[community_id_column].dtype == float:
+                    report_df[community_id_column] = report_df[
+                        community_id_column
+                    ].astype(int)
+                report_string = (
+                    f"----Reports-----\n{report_df.to_csv(index=False, sep=',')}"
+                )
+                contexts.append(report_string)
+
+        entities = [
+            entity
+            for entity in entities
+            if node_id_column in entity
+            and entity[node_id_column]
+            and str(entity[node_id_column]).strip() != ""
+        ]
+        entity_df = pd.DataFrame(entities).drop_duplicates()
+        if not entity_df.empty:
+            if entity_df[node_id_column].dtype == float:
+                entity_df[node_id_column] = entity_df[node_id_column].astype(int)
+            entity_string = (
+                f"-----Entities-----\n{entity_df.to_csv(index=False, sep=',')}"
+            )
+            contexts.append(entity_string)
+
+        if claims and len(claims) > 0:
+            claims = [
+                claim
+                for claim in claims
+                if claim_id_column in claim
+                and claim[claim_id_column]
+                and str(claim[claim_id_column]).strip() != ""
+            ]
+            claim_df = pd.DataFrame(claims).drop_duplicates()
+            if not claim_df.empty:
+                if claim_df[claim_id_column].dtype == float:
+                    claim_df[claim_id_column] = claim_df[claim_id_column].astype(int)
+                claim_string = (
+                    f"-----Claims-----\n{claim_df.to_csv(index=False, sep=',')}"
+                )
+                contexts.append(claim_string)
+
+        edges = [
+            edge
+            for edge in edges
+            if edge_id_column in edge
+            and edge[edge_id_column]
+            and str(edge[edge_id_column]).strip() != ""
+        ]
+        edge_df = pd.DataFrame(edges).drop_duplicates()
+        if not edge_df.empty:
+            if edge_df[edge_id_column].dtype == float:
+                edge_df[edge_id_column] = edge_df[edge_id_column].astype(int)
+            edge_string = (
+                f"-----Relationships-----\n{edge_df.to_csv(index=False, sep=',')}"
+            )
+            contexts.append(edge_string)
+
+        return "\n\n".join(contexts)
+
+    # sort node details by degree in descending order
+    edges = []
+    node_details = {}
+    claim_details = {}
+
+    for record in local_context:
+        node_name = record[node_name_column]
+        record_edges = record.get(edge_details_column, [])
+        record_edges = [e for e in record_edges if not pd.isna(e)]
+        record_node_details = record[node_details_column]
+        record_claims = record.get(claim_details_column, [])
+        record_claims = [c for c in record_claims if not pd.isna(c)]
+
+        edges.extend(record_edges)
+        node_details[node_name] = record_node_details
+        claim_details[node_name] = record_claims
+
+    edges = [edge for edge in edges if isinstance(edge, dict)]
+    edges = sorted(edges, key=lambda x: x[edge_degree_column], reverse=True)
+
+    sorted_edges = []
+    sorted_nodes = []
+    sorted_claims = []
+    context_string = ""
+    for edge in edges:
+        source_details = node_details.get(edge[edge_source_column], {})
+        target_details = node_details.get(edge[edge_target_column], {})
+        sorted_nodes.extend([source_details, target_details])
+        sorted_edges.append(edge)
+        source_claims = claim_details.get(edge[edge_source_column], [])
+        target_claims = claim_details.get(edge[edge_target_column], [])
+        sorted_claims.extend(source_claims if source_claims else [])
+        sorted_claims.extend(target_claims if source_claims else [])
+        if max_tokens:
+            new_context_string = _get_context_string(
+                sorted_nodes, sorted_edges, sorted_claims, sub_community_reports
+            )
+            if num_tokens(context_string) > max_tokens:
+                break
+            context_string = new_context_string
+
+    if context_string == "":
+        return _get_context_string(
+            sorted_nodes, sorted_edges, sorted_claims, sub_community_reports
+        )
+
+    return context_string
diff --git a/graphrag/graphrag/index/graph/extractors/community_reports/utils.py b/graphrag/graphrag/index/graph/extractors/community_reports/utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..b5fc9af9b8c3c1f44a31a81e450c71576c4aaf6c
--- /dev/null
+++ b/graphrag/graphrag/index/graph/extractors/community_reports/utils.py
@@ -0,0 +1,53 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing community report generation utilities."""
+
+from typing import cast
+
+import pandas as pd
+
+import graphrag.index.graph.extractors.community_reports.schemas as schemas
+from graphrag.query.llm.text_utils import num_tokens
+
+
+def set_context_size(df: pd.DataFrame) -> None:
+    """Measure the number of tokens in the context."""
+    df[schemas.CONTEXT_SIZE] = df[schemas.CONTEXT_STRING].apply(lambda x: num_tokens(x))
+
+
+def set_context_exceeds_flag(df: pd.DataFrame, max_tokens: int) -> None:
+    """Set a flag to indicate if the context exceeds the limit."""
+    df[schemas.CONTEXT_EXCEED_FLAG] = df[schemas.CONTEXT_SIZE].apply(
+        lambda x: x > max_tokens
+    )
+
+
+def get_levels(df: pd.DataFrame, level_column: str = schemas.NODE_LEVEL) -> list[int]:
+    """Get the levels of the communities."""
+    result = sorted(df[level_column].fillna(-1).unique().tolist(), reverse=True)
+    return [r for r in result if r != -1]
+
+
+def filter_nodes_to_level(node_df: pd.DataFrame, level: int) -> pd.DataFrame:
+    """Filter nodes to level."""
+    return cast(pd.DataFrame, node_df[node_df[schemas.NODE_LEVEL] == level])
+
+
+def filter_edges_to_nodes(edge_df: pd.DataFrame, nodes: list[str]) -> pd.DataFrame:
+    """Filter edges to nodes."""
+    return cast(
+        pd.DataFrame,
+        edge_df[
+            edge_df[schemas.EDGE_SOURCE].isin(nodes)
+            & edge_df[schemas.EDGE_TARGET].isin(nodes)
+        ],
+    )
+
+
+def filter_claims_to_nodes(claims_df: pd.DataFrame, nodes: list[str]) -> pd.DataFrame:
+    """Filter edges to nodes."""
+    return cast(
+        pd.DataFrame,
+        claims_df[claims_df[schemas.CLAIM_SUBJECT].isin(nodes)],
+    )
diff --git a/graphrag/graphrag/index/graph/extractors/graph/__init__.py b/graphrag/graphrag/index/graph/extractors/graph/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..94e03ab9f7b9a1b7e30a5559beb145d4ace57b4c
--- /dev/null
+++ b/graphrag/graphrag/index/graph/extractors/graph/__init__.py
@@ -0,0 +1,18 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine unipartite graph package root."""
+
+from .graph_extractor import (
+    DEFAULT_ENTITY_TYPES,
+    GraphExtractionResult,
+    GraphExtractor,
+)
+from .prompts import GRAPH_EXTRACTION_PROMPT
+
+__all__ = [
+    "DEFAULT_ENTITY_TYPES",
+    "GRAPH_EXTRACTION_PROMPT",
+    "GraphExtractionResult",
+    "GraphExtractor",
+]
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diff --git a/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py b/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py
new file mode 100644
index 0000000000000000000000000000000000000000..1daa2e9f5cf450b5220628839d1c68b52624b249
--- /dev/null
+++ b/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py
@@ -0,0 +1,305 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'GraphExtractionResult' and 'GraphExtractor' models."""
+
+import logging
+import numbers
+import re
+import traceback
+from collections.abc import Mapping
+from dataclasses import dataclass
+from typing import Any
+
+import networkx as nx
+import tiktoken
+
+import graphrag.config.defaults as defs
+from graphrag.index.typing import ErrorHandlerFn
+from graphrag.index.utils import clean_str
+from graphrag.llm import CompletionLLM
+
+from .prompts import CONTINUE_PROMPT, GRAPH_EXTRACTION_PROMPT, LOOP_PROMPT
+
+DEFAULT_TUPLE_DELIMITER = "<|>"
+DEFAULT_RECORD_DELIMITER = "##"
+DEFAULT_COMPLETION_DELIMITER = "<|COMPLETE|>"
+DEFAULT_ENTITY_TYPES = ["organization", "person", "geo", "event"]
+
+
+@dataclass
+class GraphExtractionResult:
+    """Unipartite graph extraction result class definition."""
+
+    output: nx.Graph
+    source_docs: dict[Any, Any]
+
+
+class GraphExtractor:
+    """Unipartite graph extractor class definition."""
+
+    _llm: CompletionLLM
+    _join_descriptions: bool
+    _tuple_delimiter_key: str
+    _record_delimiter_key: str
+    _entity_types_key: str
+    _input_text_key: str
+    _completion_delimiter_key: str
+    _entity_name_key: str
+    _input_descriptions_key: str
+    _extraction_prompt: str
+    _summarization_prompt: str
+    _loop_args: dict[str, Any]
+    _max_gleanings: int
+    _on_error: ErrorHandlerFn
+
+    def __init__(
+        self,
+        llm_invoker: CompletionLLM,
+        tuple_delimiter_key: str | None = None,
+        record_delimiter_key: str | None = None,
+        input_text_key: str | None = None,
+        entity_types_key: str | None = None,
+        completion_delimiter_key: str | None = None,
+        prompt: str | None = None,
+        join_descriptions=True,
+        encoding_model: str | None = None,
+        max_gleanings: int | None = None,
+        on_error: ErrorHandlerFn | None = None,
+    ):
+        """Init method definition."""
+        # TODO: streamline construction
+        self._llm = llm_invoker
+        self._join_descriptions = join_descriptions
+        self._input_text_key = input_text_key or "input_text"
+        self._tuple_delimiter_key = tuple_delimiter_key or "tuple_delimiter"
+        self._record_delimiter_key = record_delimiter_key or "record_delimiter"
+        self._completion_delimiter_key = (
+            completion_delimiter_key or "completion_delimiter"
+        )
+        self._entity_types_key = entity_types_key or "entity_types"
+        self._extraction_prompt = prompt or GRAPH_EXTRACTION_PROMPT
+        self._max_gleanings = (
+            max_gleanings
+            if max_gleanings is not None
+            else defs.ENTITY_EXTRACTION_MAX_GLEANINGS
+        )
+        self._on_error = on_error or (lambda _e, _s, _d: None)
+
+        # Construct the looping arguments
+        encoding = tiktoken.get_encoding(encoding_model or "cl100k_base")
+        yes = encoding.encode("YES")
+        no = encoding.encode("NO")
+        self._loop_args = {"logit_bias": {yes[0]: 100, no[0]: 100}, "max_tokens": 1}
+
+    async def __call__(
+        self, texts: list[str], prompt_variables: dict[str, Any] | None = None
+    ) -> GraphExtractionResult:
+        """Call method definition."""
+        if prompt_variables is None:
+            prompt_variables = {}
+        all_records: dict[int, str] = {}
+        source_doc_map: dict[int, str] = {}
+
+        # Wire defaults into the prompt variables
+        prompt_variables = {
+            **prompt_variables,
+            self._tuple_delimiter_key: prompt_variables.get(self._tuple_delimiter_key)
+            or DEFAULT_TUPLE_DELIMITER,
+            self._record_delimiter_key: prompt_variables.get(self._record_delimiter_key)
+            or DEFAULT_RECORD_DELIMITER,
+            self._completion_delimiter_key: prompt_variables.get(
+                self._completion_delimiter_key
+            )
+            or DEFAULT_COMPLETION_DELIMITER,
+            self._entity_types_key: ",".join(
+                prompt_variables[self._entity_types_key] or DEFAULT_ENTITY_TYPES
+            ),
+        }
+
+        for doc_index, text in enumerate(texts):
+            try:
+                # Invoke the entity extraction
+                result = await self._process_document(text, prompt_variables)
+                source_doc_map[doc_index] = text
+                all_records[doc_index] = result
+            except Exception as e:
+                logging.exception("error extracting graph")
+                self._on_error(
+                    e,
+                    traceback.format_exc(),
+                    {
+                        "doc_index": doc_index,
+                        "text": text,
+                    },
+                )
+
+        output = await self._process_results(
+            all_records,
+            prompt_variables.get(self._tuple_delimiter_key, DEFAULT_TUPLE_DELIMITER),
+            prompt_variables.get(self._record_delimiter_key, DEFAULT_RECORD_DELIMITER),
+        )
+
+        return GraphExtractionResult(
+            output=output,
+            source_docs=source_doc_map,
+        )
+
+    async def _process_document(
+        self, text: str, prompt_variables: dict[str, str]
+    ) -> str:
+        response = await self._llm(
+            self._extraction_prompt,
+            variables={
+                **prompt_variables,
+                self._input_text_key: text,
+            },
+        )
+        results = response.output or ""
+
+        # Repeat to ensure we maximize entity count
+        for i in range(self._max_gleanings):
+            glean_response = await self._llm(
+                CONTINUE_PROMPT,
+                name=f"extract-continuation-{i}",
+                history=response.history or [],
+            )
+            results += glean_response.output or ""
+
+            # if this is the final glean, don't bother updating the continuation flag
+            if i >= self._max_gleanings - 1:
+                break
+
+            continuation = await self._llm(
+                LOOP_PROMPT,
+                name=f"extract-loopcheck-{i}",
+                history=glean_response.history or [],
+                model_parameters=self._loop_args,
+            )
+            if continuation.output != "YES":
+                break
+
+        return results
+
+    async def _process_results(
+        self,
+        results: dict[int, str],
+        tuple_delimiter: str,
+        record_delimiter: str,
+    ) -> nx.Graph:
+        """Parse the result string to create an undirected unipartite graph.
+
+        Args:
+            - results - dict of results from the extraction chain
+            - tuple_delimiter - delimiter between tuples in an output record, default is '<|>'
+            - record_delimiter - delimiter between records, default is '##'
+        Returns:
+            - output - unipartite graph in graphML format
+        """
+        graph = nx.Graph()
+        for source_doc_id, extracted_data in results.items():
+            records = [r.strip() for r in extracted_data.split(record_delimiter)]
+
+            for record in records:
+                record = re.sub(r"^\(|\)$", "", record.strip())
+                record_attributes = record.split(tuple_delimiter)
+
+                if record_attributes[0] == '"entity"' and len(record_attributes) >= 4:
+                    # add this record as a node in the G
+                    entity_name = clean_str(record_attributes[1].upper())
+                    entity_type = clean_str(record_attributes[2].upper())
+                    entity_description = clean_str(record_attributes[3])
+
+                    if entity_name in graph.nodes():
+                        node = graph.nodes[entity_name]
+                        if self._join_descriptions:
+                            node["description"] = "\n".join(
+                                list({
+                                    *_unpack_descriptions(node),
+                                    entity_description,
+                                })
+                            )
+                        else:
+                            if len(entity_description) > len(node["description"]):
+                                node["description"] = entity_description
+                        node["source_id"] = ", ".join(
+                            list({
+                                *_unpack_source_ids(node),
+                                str(source_doc_id),
+                            })
+                        )
+                        node["entity_type"] = (
+                            entity_type if entity_type != "" else node["entity_type"]
+                        )
+                    else:
+                        graph.add_node(
+                            entity_name,
+                            type=entity_type,
+                            description=entity_description,
+                            source_id=str(source_doc_id),
+                        )
+
+                if (
+                    record_attributes[0] == '"relationship"'
+                    and len(record_attributes) >= 5
+                ):
+                    # add this record as edge
+                    source = clean_str(record_attributes[1].upper())
+                    target = clean_str(record_attributes[2].upper())
+                    edge_description = clean_str(record_attributes[3])
+                    edge_source_id = clean_str(str(source_doc_id))
+                    weight = (
+                        float(record_attributes[-1])
+                        if isinstance(record_attributes[-1], numbers.Number)
+                        else 1.0
+                    )
+                    if source not in graph.nodes():
+                        graph.add_node(
+                            source,
+                            type="",
+                            description="",
+                            source_id=edge_source_id,
+                        )
+                    if target not in graph.nodes():
+                        graph.add_node(
+                            target,
+                            type="",
+                            description="",
+                            source_id=edge_source_id,
+                        )
+                    if graph.has_edge(source, target):
+                        edge_data = graph.get_edge_data(source, target)
+                        if edge_data is not None:
+                            weight += edge_data["weight"]
+                            if self._join_descriptions:
+                                edge_description = "\n".join(
+                                    list({
+                                        *_unpack_descriptions(edge_data),
+                                        edge_description,
+                                    })
+                                )
+                            edge_source_id = ", ".join(
+                                list({
+                                    *_unpack_source_ids(edge_data),
+                                    str(source_doc_id),
+                                })
+                            )
+                    graph.add_edge(
+                        source,
+                        target,
+                        weight=weight,
+                        description=edge_description,
+                        source_id=edge_source_id,
+                    )
+
+        return graph
+
+
+def _unpack_descriptions(data: Mapping) -> list[str]:
+    value = data.get("description", None)
+    return [] if value is None else value.split("\n")
+
+
+def _unpack_source_ids(data: Mapping) -> list[str]:
+    value = data.get("source_id", None)
+    return [] if value is None else value.split(", ")
diff --git a/graphrag/graphrag/index/graph/extractors/graph/prompts.py b/graphrag/graphrag/index/graph/extractors/graph/prompts.py
new file mode 100644
index 0000000000000000000000000000000000000000..0cc53bec4d2f249c8901f3c2ab190016f5db47d0
--- /dev/null
+++ b/graphrag/graphrag/index/graph/extractors/graph/prompts.py
@@ -0,0 +1,107 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A file containing prompts definition."""
+
+GRAPH_EXTRACTION_PROMPT = """
+-Goal-
+Given a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.
+
+-Steps-
+1. Identify all entities. For each identified entity, extract the following information:
+- entity_name: Name of the entity, capitalized
+- entity_type: One of the following types: [{entity_types}]
+- entity_description: Comprehensive description of the entity's attributes and activities
+Format each entity as ("entity"{tuple_delimiter}<entity_name>{tuple_delimiter}<entity_type>{tuple_delimiter}<entity_description>
+
+2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.
+For each pair of related entities, extract the following information:
+- source_entity: name of the source entity, as identified in step 1
+- target_entity: name of the target entity, as identified in step 1
+- relationship_description: explanation as to why you think the source entity and the target entity are related to each other
+- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity
+ Format each relationship as ("relationship"{tuple_delimiter}<source_entity>{tuple_delimiter}<target_entity>{tuple_delimiter}<relationship_description>{tuple_delimiter}<relationship_strength>)
+
+3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **{record_delimiter}** as the list delimiter.
+
+4. When finished, output {completion_delimiter}
+
+######################
+-Examples-
+######################
+Example 1:
+
+Entity_types: [person, technology, mission, organization, location]
+Text:
+while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.
+
+Then Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”
+
+The underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.
+
+It was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths
+################
+Output:
+("entity"{tuple_delimiter}"Alex"{tuple_delimiter}"person"{tuple_delimiter}"Alex is a character who experiences frustration and is observant of the dynamics among other characters."){record_delimiter}
+("entity"{tuple_delimiter}"Taylor"{tuple_delimiter}"person"{tuple_delimiter}"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective."){record_delimiter}
+("entity"{tuple_delimiter}"Jordan"{tuple_delimiter}"person"{tuple_delimiter}"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device."){record_delimiter}
+("entity"{tuple_delimiter}"Cruz"{tuple_delimiter}"person"{tuple_delimiter}"Cruz is associated with a vision of control and order, influencing the dynamics among other characters."){record_delimiter}
+("entity"{tuple_delimiter}"The Device"{tuple_delimiter}"technology"{tuple_delimiter}"The Device is central to the story, with potential game-changing implications, and is revered by Taylor."){record_delimiter}
+("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Taylor"{tuple_delimiter}"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device."{tuple_delimiter}7){record_delimiter}
+("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Jordan"{tuple_delimiter}"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision."{tuple_delimiter}6){record_delimiter}
+("relationship"{tuple_delimiter}"Taylor"{tuple_delimiter}"Jordan"{tuple_delimiter}"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."{tuple_delimiter}8){record_delimiter}
+("relationship"{tuple_delimiter}"Jordan"{tuple_delimiter}"Cruz"{tuple_delimiter}"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order."{tuple_delimiter}5){record_delimiter}
+("relationship"{tuple_delimiter}"Taylor"{tuple_delimiter}"The Device"{tuple_delimiter}"Taylor shows reverence towards the device, indicating its importance and potential impact."{tuple_delimiter}9){completion_delimiter}
+#############################
+Example 2:
+
+Entity_types: [person, technology, mission, organization, location]
+Text:
+They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.
+
+Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.
+
+Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence— the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly
+#############
+Output:
+("entity"{tuple_delimiter}"Washington"{tuple_delimiter}"location"{tuple_delimiter}"Washington is a location where communications are being received, indicating its importance in the decision-making process."){record_delimiter}
+("entity"{tuple_delimiter}"Operation: Dulce"{tuple_delimiter}"mission"{tuple_delimiter}"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities."){record_delimiter}
+("entity"{tuple_delimiter}"The team"{tuple_delimiter}"organization"{tuple_delimiter}"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role."){record_delimiter}
+("relationship"{tuple_delimiter}"The team"{tuple_delimiter}"Washington"{tuple_delimiter}"The team receives communications from Washington, which influences their decision-making process."{tuple_delimiter}7){record_delimiter}
+("relationship"{tuple_delimiter}"The team"{tuple_delimiter}"Operation: Dulce"{tuple_delimiter}"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."{tuple_delimiter}9){completion_delimiter}
+#############################
+Example 3:
+
+Entity_types: [person, role, technology, organization, event, location, concept]
+Text:
+their voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.
+
+"It's like it's learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers' a whole new meaning."
+
+Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."
+
+Together, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.
+
+The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation
+#############
+Output:
+("entity"{tuple_delimiter}"Sam Rivera"{tuple_delimiter}"person"{tuple_delimiter}"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety."){record_delimiter}
+("entity"{tuple_delimiter}"Alex"{tuple_delimiter}"person"{tuple_delimiter}"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task."){record_delimiter}
+("entity"{tuple_delimiter}"Control"{tuple_delimiter}"concept"{tuple_delimiter}"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules."){record_delimiter}
+("entity"{tuple_delimiter}"Intelligence"{tuple_delimiter}"concept"{tuple_delimiter}"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate."){record_delimiter}
+("entity"{tuple_delimiter}"First Contact"{tuple_delimiter}"event"{tuple_delimiter}"First Contact is the potential initial communication between humanity and an unknown intelligence."){record_delimiter}
+("entity"{tuple_delimiter}"Humanity's Response"{tuple_delimiter}"event"{tuple_delimiter}"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence."){record_delimiter}
+("relationship"{tuple_delimiter}"Sam Rivera"{tuple_delimiter}"Intelligence"{tuple_delimiter}"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."{tuple_delimiter}9){record_delimiter}
+("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"First Contact"{tuple_delimiter}"Alex leads the team that might be making the First Contact with the unknown intelligence."{tuple_delimiter}10){record_delimiter}
+("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Humanity's Response"{tuple_delimiter}"Alex and his team are the key figures in Humanity's Response to the unknown intelligence."{tuple_delimiter}8){record_delimiter}
+("relationship"{tuple_delimiter}"Control"{tuple_delimiter}"Intelligence"{tuple_delimiter}"The concept of Control is challenged by the Intelligence that writes its own rules."{tuple_delimiter}7){completion_delimiter}
+#############################
+-Real Data-
+######################
+Entity_types: {entity_types}
+Text: {input_text}
+######################
+Output:"""
+
+CONTINUE_PROMPT = "MANY entities were missed in the last extraction.  Add them below using the same format:\n"
+LOOP_PROMPT = "It appears some entities may have still been missed.  Answer YES | NO if there are still entities that need to be added.\n"
diff --git a/graphrag/graphrag/index/graph/extractors/summarize/__init__.py b/graphrag/graphrag/index/graph/extractors/summarize/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..b4bfe5be87f884805729992856d3121c2a74a6d1
--- /dev/null
+++ b/graphrag/graphrag/index/graph/extractors/summarize/__init__.py
@@ -0,0 +1,12 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine unipartite graph package root."""
+
+from .description_summary_extractor import (
+    SummarizationResult,
+    SummarizeExtractor,
+)
+from .prompts import SUMMARIZE_PROMPT
+
+__all__ = ["SUMMARIZE_PROMPT", "SummarizationResult", "SummarizeExtractor"]
diff --git a/graphrag/graphrag/index/graph/extractors/summarize/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/index/graph/extractors/summarize/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/index/graph/extractors/summarize/__pycache__/prompts.cpython-310.pyc b/graphrag/graphrag/index/graph/extractors/summarize/__pycache__/prompts.cpython-310.pyc
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diff --git a/graphrag/graphrag/index/graph/extractors/summarize/description_summary_extractor.py b/graphrag/graphrag/index/graph/extractors/summarize/description_summary_extractor.py
new file mode 100644
index 0000000000000000000000000000000000000000..76d77202d3589c42e806e9edc506e93009f212f9
--- /dev/null
+++ b/graphrag/graphrag/index/graph/extractors/summarize/description_summary_extractor.py
@@ -0,0 +1,135 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'GraphExtractionResult' and 'GraphExtractor' models."""
+
+import json
+from dataclasses import dataclass
+
+from graphrag.index.typing import ErrorHandlerFn
+from graphrag.index.utils.tokens import num_tokens_from_string
+from graphrag.llm import CompletionLLM
+
+from .prompts import SUMMARIZE_PROMPT
+
+# Max token size for input prompts
+DEFAULT_MAX_INPUT_TOKENS = 4_000
+# Max token count for LLM answers
+DEFAULT_MAX_SUMMARY_LENGTH = 500
+
+
+@dataclass
+class SummarizationResult:
+    """Unipartite graph extraction result class definition."""
+
+    items: str | tuple[str, str]
+    description: str
+
+
+class SummarizeExtractor:
+    """Unipartite graph extractor class definition."""
+
+    _llm: CompletionLLM
+    _entity_name_key: str
+    _input_descriptions_key: str
+    _summarization_prompt: str
+    _on_error: ErrorHandlerFn
+    _max_summary_length: int
+    _max_input_tokens: int
+
+    def __init__(
+        self,
+        llm_invoker: CompletionLLM,
+        entity_name_key: str | None = None,
+        input_descriptions_key: str | None = None,
+        summarization_prompt: str | None = None,
+        on_error: ErrorHandlerFn | None = None,
+        max_summary_length: int | None = None,
+        max_input_tokens: int | None = None,
+    ):
+        """Init method definition."""
+        # TODO: streamline construction
+        self._llm = llm_invoker
+        self._entity_name_key = entity_name_key or "entity_name"
+        self._input_descriptions_key = input_descriptions_key or "description_list"
+
+        self._summarization_prompt = summarization_prompt or SUMMARIZE_PROMPT
+        self._on_error = on_error or (lambda _e, _s, _d: None)
+        self._max_summary_length = max_summary_length or DEFAULT_MAX_SUMMARY_LENGTH
+        self._max_input_tokens = max_input_tokens or DEFAULT_MAX_INPUT_TOKENS
+
+    async def __call__(
+        self,
+        items: str | tuple[str, str],
+        descriptions: list[str],
+    ) -> SummarizationResult:
+        """Call method definition."""
+        result = ""
+        if len(descriptions) == 0:
+            result = ""
+        if len(descriptions) == 1:
+            result = descriptions[0]
+        else:
+            result = await self._summarize_descriptions(items, descriptions)
+
+        return SummarizationResult(
+            items=items,
+            description=result or "",
+        )
+
+    async def _summarize_descriptions(
+        self, items: str | tuple[str, str], descriptions: list[str]
+    ) -> str:
+        """Summarize descriptions into a single description."""
+        sorted_items = sorted(items) if isinstance(items, list) else items
+
+        # Safety check, should always be a list
+        if not isinstance(descriptions, list):
+            descriptions = [descriptions]
+
+            # Iterate over descriptions, adding all until the max input tokens is reached
+        usable_tokens = self._max_input_tokens - num_tokens_from_string(
+            self._summarization_prompt
+        )
+        descriptions_collected = []
+        result = ""
+
+        for i, description in enumerate(descriptions):
+            usable_tokens -= num_tokens_from_string(description)
+            descriptions_collected.append(description)
+
+            # If buffer is full, or all descriptions have been added, summarize
+            if (usable_tokens < 0 and len(descriptions_collected) > 1) or (
+                i == len(descriptions) - 1
+            ):
+                # Calculate result (final or partial)
+                result = await self._summarize_descriptions_with_llm(
+                    sorted_items, descriptions_collected
+                )
+
+                # If we go for another loop, reset values to new
+                if i != len(descriptions) - 1:
+                    descriptions_collected = [result]
+                    usable_tokens = (
+                        self._max_input_tokens
+                        - num_tokens_from_string(self._summarization_prompt)
+                        - num_tokens_from_string(result)
+                    )
+
+        return result
+
+    async def _summarize_descriptions_with_llm(
+        self, items: str | tuple[str, str] | list[str], descriptions: list[str]
+    ):
+        """Summarize descriptions using the LLM."""
+        response = await self._llm(
+            self._summarization_prompt,
+            name="summarize",
+            variables={
+                self._entity_name_key: json.dumps(items),
+                self._input_descriptions_key: json.dumps(sorted(descriptions)),
+            },
+            model_parameters={"max_tokens": self._max_summary_length},
+        )
+        # Calculate result
+        return str(response.output)
diff --git a/graphrag/graphrag/index/graph/extractors/summarize/prompts.py b/graphrag/graphrag/index/graph/extractors/summarize/prompts.py
new file mode 100644
index 0000000000000000000000000000000000000000..90e4434ee813fb6a6b8adb2bf9050d90a09a7a0b
--- /dev/null
+++ b/graphrag/graphrag/index/graph/extractors/summarize/prompts.py
@@ -0,0 +1,19 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A file containing prompts definition."""
+
+SUMMARIZE_PROMPT = """
+You are a helpful assistant responsible for generating a comprehensive summary of the data provided below.
+Given one or two entities, and a list of descriptions, all related to the same entity or group of entities.
+Please concatenate all of these into a single, comprehensive description. Make sure to include information collected from all the descriptions.
+If the provided descriptions are contradictory, please resolve the contradictions and provide a single, coherent summary.
+Make sure it is written in third person, and include the entity names so we the have full context.
+
+#######
+-Data-
+Entities: {entity_name}
+Description List: {description_list}
+#######
+Output:
+"""
diff --git a/graphrag/graphrag/index/graph/utils/__init__.py b/graphrag/graphrag/index/graph/utils/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..6d4479283a290c8165b4f4d6427d7fc5b97b0544
--- /dev/null
+++ b/graphrag/graphrag/index/graph/utils/__init__.py
@@ -0,0 +1,9 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine graph utils package root."""
+
+from .normalize_node_names import normalize_node_names
+from .stable_lcc import stable_largest_connected_component
+
+__all__ = ["normalize_node_names", "stable_largest_connected_component"]
diff --git a/graphrag/graphrag/index/graph/utils/normalize_node_names.py b/graphrag/graphrag/index/graph/utils/normalize_node_names.py
new file mode 100644
index 0000000000000000000000000000000000000000..bcc874a9274792606e136bbfb2f69aee2aef27f8
--- /dev/null
+++ b/graphrag/graphrag/index/graph/utils/normalize_node_names.py
@@ -0,0 +1,14 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing normalize_node_names method definition."""
+
+import html
+
+import networkx as nx
+
+
+def normalize_node_names(graph: nx.Graph | nx.DiGraph) -> nx.Graph | nx.DiGraph:
+    """Normalize node names."""
+    node_mapping = {node: html.unescape(node.upper().strip()) for node in graph.nodes()}  # type: ignore
+    return nx.relabel_nodes(graph, node_mapping)
diff --git a/graphrag/graphrag/index/graph/utils/stable_lcc.py b/graphrag/graphrag/index/graph/utils/stable_lcc.py
new file mode 100644
index 0000000000000000000000000000000000000000..7d602a6ba71cc0af6168c69dda9b871ab2a6427b
--- /dev/null
+++ b/graphrag/graphrag/index/graph/utils/stable_lcc.py
@@ -0,0 +1,60 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module for producing a stable largest connected component, i.e. same input graph == same output lcc."""
+
+from typing import Any, cast
+
+import networkx as nx
+from graspologic.utils import largest_connected_component
+
+from .normalize_node_names import normalize_node_names
+
+
+def stable_largest_connected_component(graph: nx.Graph) -> nx.Graph:
+    """Return the largest connected component of the graph, with nodes and edges sorted in a stable way."""
+    graph = graph.copy()
+    graph = cast(nx.Graph, largest_connected_component(graph))
+    graph = normalize_node_names(graph)
+    return _stabilize_graph(graph)
+
+
+def _stabilize_graph(graph: nx.Graph) -> nx.Graph:
+    """Ensure an undirected graph with the same relationships will always be read the same way."""
+    fixed_graph = nx.DiGraph() if graph.is_directed() else nx.Graph()
+
+    sorted_nodes = graph.nodes(data=True)
+    sorted_nodes = sorted(sorted_nodes, key=lambda x: x[0])
+
+    fixed_graph.add_nodes_from(sorted_nodes)
+    edges = list(graph.edges(data=True))
+
+    # If the graph is undirected, we create the edges in a stable way, so we get the same results
+    # for example:
+    # A -> B
+    # in graph theory is the same as
+    # B -> A
+    # in an undirected graph
+    # however, this can lead to downstream issues because sometimes
+    # consumers read graph.nodes() which ends up being [A, B] and sometimes it's [B, A]
+    # but they base some of their logic on the order of the nodes, so the order ends up being important
+    # so we sort the nodes in the edge in a stable way, so that we always get the same order
+    if not graph.is_directed():
+
+        def _sort_source_target(edge):
+            source, target, edge_data = edge
+            if source > target:
+                temp = source
+                source = target
+                target = temp
+            return source, target, edge_data
+
+        edges = [_sort_source_target(edge) for edge in edges]
+
+    def _get_edge_key(source: Any, target: Any) -> str:
+        return f"{source} -> {target}"
+
+    edges = sorted(edges, key=lambda x: _get_edge_key(x[0], x[1]))
+
+    fixed_graph.add_edges_from(edges)
+    return fixed_graph
diff --git a/graphrag/graphrag/index/graph/visualization/__init__.py b/graphrag/graphrag/index/graph/visualization/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..f7780e4e9cf4a616260c25e4d60799db4b936262
--- /dev/null
+++ b/graphrag/graphrag/index/graph/visualization/__init__.py
@@ -0,0 +1,14 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine graph visualization package root."""
+
+from .compute_umap_positions import compute_umap_positions, get_zero_positions
+from .typing import GraphLayout, NodePosition
+
+__all__ = [
+    "GraphLayout",
+    "NodePosition",
+    "compute_umap_positions",
+    "get_zero_positions",
+]
diff --git a/graphrag/graphrag/index/graph/visualization/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/index/graph/visualization/__pycache__/__init__.cpython-310.pyc
new file mode 100644
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diff --git a/graphrag/graphrag/index/graph/visualization/__pycache__/compute_umap_positions.cpython-310.pyc b/graphrag/graphrag/index/graph/visualization/__pycache__/compute_umap_positions.cpython-310.pyc
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index 0000000000000000000000000000000000000000..991f7da28dff76da740697d8aebab2dcc2004515
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diff --git a/graphrag/graphrag/index/graph/visualization/__pycache__/typing.cpython-310.pyc b/graphrag/graphrag/index/graph/visualization/__pycache__/typing.cpython-310.pyc
new file mode 100644
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diff --git a/graphrag/graphrag/index/graph/visualization/compute_umap_positions.py b/graphrag/graphrag/index/graph/visualization/compute_umap_positions.py
new file mode 100644
index 0000000000000000000000000000000000000000..569b7b309d9db7f296b6453a68d35d0eee471026
--- /dev/null
+++ b/graphrag/graphrag/index/graph/visualization/compute_umap_positions.py
@@ -0,0 +1,144 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing compute_umap_positions and visualize_embedding method definition."""
+
+import graspologic as gc
+import matplotlib.pyplot as plt
+import networkx as nx
+import numpy as np
+import umap
+
+from .typing import NodePosition
+
+
+def get_zero_positions(
+    node_labels: list[str],
+    node_categories: list[int] | None = None,
+    node_sizes: list[int] | None = None,
+    three_d: bool | None = False,
+) -> list[NodePosition]:
+    """Project embedding vectors down to 2D/3D using UMAP."""
+    embedding_position_data: list[NodePosition] = []
+    for index, node_name in enumerate(node_labels):
+        node_category = 1 if node_categories is None else node_categories[index]
+        node_size = 1 if node_sizes is None else node_sizes[index]
+
+        if not three_d:
+            embedding_position_data.append(
+                NodePosition(
+                    label=str(node_name),
+                    x=0,
+                    y=0,
+                    cluster=str(int(node_category)),
+                    size=int(node_size),
+                )
+            )
+        else:
+            embedding_position_data.append(
+                NodePosition(
+                    label=str(node_name),
+                    x=0,
+                    y=0,
+                    z=0,
+                    cluster=str(int(node_category)),
+                    size=int(node_size),
+                )
+            )
+    return embedding_position_data
+
+
+def compute_umap_positions(
+    embedding_vectors: np.ndarray,
+    node_labels: list[str],
+    node_categories: list[int] | None = None,
+    node_sizes: list[int] | None = None,
+    min_dist: float = 0.75,
+    n_neighbors: int = 25,
+    spread: int = 1,
+    metric: str = "euclidean",
+    n_components: int = 2,
+    random_state: int = 86,
+) -> list[NodePosition]:
+    """Project embedding vectors down to 2D/3D using UMAP."""
+    embedding_positions = umap.UMAP(
+        min_dist=min_dist,
+        n_neighbors=n_neighbors,
+        spread=spread,
+        n_components=n_components,
+        metric=metric,
+        random_state=random_state,
+    ).fit_transform(embedding_vectors)
+
+    embedding_position_data: list[NodePosition] = []
+    for index, node_name in enumerate(node_labels):
+        node_points = embedding_positions[index]  # type: ignore
+        node_category = 1 if node_categories is None else node_categories[index]
+        node_size = 1 if node_sizes is None else node_sizes[index]
+
+        if len(node_points) == 2:
+            embedding_position_data.append(
+                NodePosition(
+                    label=str(node_name),
+                    x=float(node_points[0]),
+                    y=float(node_points[1]),
+                    cluster=str(int(node_category)),
+                    size=int(node_size),
+                )
+            )
+        else:
+            embedding_position_data.append(
+                NodePosition(
+                    label=str(node_name),
+                    x=float(node_points[0]),
+                    y=float(node_points[1]),
+                    z=float(node_points[2]),
+                    cluster=str(int(node_category)),
+                    size=int(node_size),
+                )
+            )
+    return embedding_position_data
+
+
+def visualize_embedding(
+    graph,
+    umap_positions: list[dict],
+):
+    """Project embedding down to 2D using UMAP and visualize."""
+    # rendering
+    plt.clf()
+    figure = plt.gcf()
+    ax = plt.gca()
+
+    ax.set_axis_off()
+    figure.set_size_inches(10, 10)
+    figure.set_dpi(400)
+
+    node_position_dict = {
+        (str)(position["label"]): (position["x"], position["y"])
+        for position in umap_positions
+    }
+    node_category_dict = {
+        (str)(position["label"]): position["category"] for position in umap_positions
+    }
+    node_sizes = [position["size"] for position in umap_positions]
+    node_colors = gc.layouts.categorical_colors(node_category_dict)  # type: ignore
+
+    vertices = []
+    node_color_list = []
+    for node in node_position_dict:
+        vertices.append(node)
+        node_color_list.append(node_colors[node])
+
+    nx.draw_networkx_nodes(
+        graph,
+        pos=node_position_dict,
+        nodelist=vertices,
+        node_color=node_color_list,  # type: ignore
+        alpha=1.0,
+        linewidths=0.01,
+        node_size=node_sizes,  # type: ignore
+        node_shape="o",
+        ax=ax,
+    )
+    plt.show()
diff --git a/graphrag/graphrag/index/graph/visualization/typing.py b/graphrag/graphrag/index/graph/visualization/typing.py
new file mode 100644
index 0000000000000000000000000000000000000000..ae46afa928a0e5586704c9cddfad36f042bfa910
--- /dev/null
+++ b/graphrag/graphrag/index/graph/visualization/typing.py
@@ -0,0 +1,27 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+# Use this for now instead of a wrapper
+"""A module containing 'NodePosition' model."""
+
+from dataclasses import dataclass
+
+
+@dataclass
+class NodePosition:
+    """Node position class definition."""
+
+    label: str
+    cluster: str
+    size: float
+
+    x: float
+    y: float
+    z: float | None = None
+
+    def to_pandas(self) -> tuple[str, float, float, str, float]:
+        """To pandas method definition."""
+        return self.label, self.x, self.y, self.cluster, self.size
+
+
+GraphLayout = list[NodePosition]
diff --git a/graphrag/graphrag/index/init_content.py b/graphrag/graphrag/index/init_content.py
new file mode 100644
index 0000000000000000000000000000000000000000..d2ad3906b12e161e6723ffcb4a05ec8cf0c8c89e
--- /dev/null
+++ b/graphrag/graphrag/index/init_content.py
@@ -0,0 +1,165 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+"""Content for the init CLI command."""
+
+import graphrag.config.defaults as defs
+
+INIT_YAML = f"""
+encoding_model: cl100k_base
+skip_workflows: []
+llm:
+  api_key: ${{GRAPHRAG_API_KEY}}
+  type: {defs.LLM_TYPE.value} # or azure_openai_chat
+  model: {defs.LLM_MODEL}
+  model_supports_json: true # recommended if this is available for your model.
+  # max_tokens: {defs.LLM_MAX_TOKENS}
+  # request_timeout: {defs.LLM_REQUEST_TIMEOUT}
+  # api_base: https://<instance>.openai.azure.com
+  # api_version: 2024-02-15-preview
+  # organization: <organization_id>
+  # deployment_name: <azure_model_deployment_name>
+  # tokens_per_minute: 150_000 # set a leaky bucket throttle
+  # requests_per_minute: 10_000 # set a leaky bucket throttle
+  # max_retries: {defs.LLM_MAX_RETRIES}
+  # max_retry_wait: {defs.LLM_MAX_RETRY_WAIT}
+  # sleep_on_rate_limit_recommendation: true # whether to sleep when azure suggests wait-times
+  # concurrent_requests: {defs.LLM_CONCURRENT_REQUESTS} # the number of parallel inflight requests that may be made
+  # temperature: {defs.LLM_TEMPERATURE} # temperature for sampling
+  # top_p: {defs.LLM_TOP_P} # top-p sampling
+  # n: {defs.LLM_N} # Number of completions to generate
+
+parallelization:
+  stagger: {defs.PARALLELIZATION_STAGGER}
+  # num_threads: {defs.PARALLELIZATION_NUM_THREADS} # the number of threads to use for parallel processing
+
+async_mode: {defs.ASYNC_MODE.value} # or asyncio
+
+embeddings:
+  ## parallelization: override the global parallelization settings for embeddings
+  async_mode: {defs.ASYNC_MODE.value} # or asyncio
+  llm:
+    api_key: ${{GRAPHRAG_API_KEY}}
+    type: {defs.EMBEDDING_TYPE.value} # or azure_openai_embedding
+    model: {defs.EMBEDDING_MODEL}
+    # api_base: https://<instance>.openai.azure.com
+    # api_version: 2024-02-15-preview
+    # organization: <organization_id>
+    # deployment_name: <azure_model_deployment_name>
+    # tokens_per_minute: 150_000 # set a leaky bucket throttle
+    # requests_per_minute: 10_000 # set a leaky bucket throttle
+    # max_retries: {defs.LLM_MAX_RETRIES}
+    # max_retry_wait: {defs.LLM_MAX_RETRY_WAIT}
+    # sleep_on_rate_limit_recommendation: true # whether to sleep when azure suggests wait-times
+    # concurrent_requests: {defs.LLM_CONCURRENT_REQUESTS} # the number of parallel inflight requests that may be made
+    # batch_size: {defs.EMBEDDING_BATCH_SIZE} # the number of documents to send in a single request
+    # batch_max_tokens: {defs.EMBEDDING_BATCH_MAX_TOKENS} # the maximum number of tokens to send in a single request
+    # target: {defs.EMBEDDING_TARGET.value} # or optional
+  
+
+
+chunks:
+  size: {defs.CHUNK_SIZE}
+  overlap: {defs.CHUNK_OVERLAP}
+  group_by_columns: [{",".join(defs.CHUNK_GROUP_BY_COLUMNS)}] # by default, we don't allow chunks to cross documents
+    
+input:
+  type: {defs.INPUT_TYPE.value} # or blob
+  file_type: {defs.INPUT_FILE_TYPE.value} # or csv
+  base_dir: "{defs.INPUT_BASE_DIR}"
+  file_encoding: {defs.INPUT_FILE_ENCODING}
+  file_pattern: ".*\\\\.txt$"
+
+cache:
+  type: {defs.CACHE_TYPE.value} # or blob
+  base_dir: "{defs.CACHE_BASE_DIR}"
+  # connection_string: <azure_blob_storage_connection_string>
+  # container_name: <azure_blob_storage_container_name>
+
+storage:
+  type: {defs.STORAGE_TYPE.value} # or blob
+  base_dir: "{defs.STORAGE_BASE_DIR}"
+  # connection_string: <azure_blob_storage_connection_string>
+  # container_name: <azure_blob_storage_container_name>
+
+reporting:
+  type: {defs.REPORTING_TYPE.value} # or console, blob
+  base_dir: "{defs.REPORTING_BASE_DIR}"
+  # connection_string: <azure_blob_storage_connection_string>
+  # container_name: <azure_blob_storage_container_name>
+
+entity_extraction:
+  ## llm: override the global llm settings for this task
+  ## parallelization: override the global parallelization settings for this task
+  ## async_mode: override the global async_mode settings for this task
+  prompt: "prompts/entity_extraction.txt"
+  entity_types: [{",".join(defs.ENTITY_EXTRACTION_ENTITY_TYPES)}]
+  max_gleanings: {defs.ENTITY_EXTRACTION_MAX_GLEANINGS}
+
+summarize_descriptions:
+  ## llm: override the global llm settings for this task
+  ## parallelization: override the global parallelization settings for this task
+  ## async_mode: override the global async_mode settings for this task
+  prompt: "prompts/summarize_descriptions.txt"
+  max_length: {defs.SUMMARIZE_DESCRIPTIONS_MAX_LENGTH}
+
+claim_extraction:
+  ## llm: override the global llm settings for this task
+  ## parallelization: override the global parallelization settings for this task
+  ## async_mode: override the global async_mode settings for this task
+  # enabled: true
+  prompt: "prompts/claim_extraction.txt"
+  description: "{defs.CLAIM_DESCRIPTION}"
+  max_gleanings: {defs.CLAIM_MAX_GLEANINGS}
+
+community_reports:
+  ## llm: override the global llm settings for this task
+  ## parallelization: override the global parallelization settings for this task
+  ## async_mode: override the global async_mode settings for this task
+  prompt: "prompts/community_report.txt"
+  max_length: {defs.COMMUNITY_REPORT_MAX_LENGTH}
+  max_input_length: {defs.COMMUNITY_REPORT_MAX_INPUT_LENGTH}
+
+cluster_graph:
+  max_cluster_size: {defs.MAX_CLUSTER_SIZE}
+
+embed_graph:
+  enabled: false # if true, will generate node2vec embeddings for nodes
+  # num_walks: {defs.NODE2VEC_NUM_WALKS}
+  # walk_length: {defs.NODE2VEC_WALK_LENGTH}
+  # window_size: {defs.NODE2VEC_WINDOW_SIZE}
+  # iterations: {defs.NODE2VEC_ITERATIONS}
+  # random_seed: {defs.NODE2VEC_RANDOM_SEED}
+
+umap:
+  enabled: false # if true, will generate UMAP embeddings for nodes
+
+snapshots:
+  graphml: false
+  raw_entities: false
+  top_level_nodes: false
+
+local_search:
+  # text_unit_prop: {defs.LOCAL_SEARCH_TEXT_UNIT_PROP}
+  # community_prop: {defs.LOCAL_SEARCH_COMMUNITY_PROP}
+  # conversation_history_max_turns: {defs.LOCAL_SEARCH_CONVERSATION_HISTORY_MAX_TURNS}
+  # top_k_mapped_entities: {defs.LOCAL_SEARCH_TOP_K_MAPPED_ENTITIES}
+  # top_k_relationships: {defs.LOCAL_SEARCH_TOP_K_RELATIONSHIPS}
+  # llm_temperature: {defs.LOCAL_SEARCH_LLM_TEMPERATURE} # temperature for sampling
+  # llm_top_p: {defs.LOCAL_SEARCH_LLM_TOP_P} # top-p sampling
+  # llm_n: {defs.LOCAL_SEARCH_LLM_N} # Number of completions to generate
+  # max_tokens: {defs.LOCAL_SEARCH_MAX_TOKENS}
+
+global_search:
+  # llm_temperature: {defs.GLOBAL_SEARCH_LLM_TEMPERATURE} # temperature for sampling
+  # llm_top_p: {defs.GLOBAL_SEARCH_LLM_TOP_P} # top-p sampling
+  # llm_n: {defs.GLOBAL_SEARCH_LLM_N} # Number of completions to generate
+  # max_tokens: {defs.GLOBAL_SEARCH_MAX_TOKENS}
+  # data_max_tokens: {defs.GLOBAL_SEARCH_DATA_MAX_TOKENS}
+  # map_max_tokens: {defs.GLOBAL_SEARCH_MAP_MAX_TOKENS}
+  # reduce_max_tokens: {defs.GLOBAL_SEARCH_REDUCE_MAX_TOKENS}
+  # concurrency: {defs.GLOBAL_SEARCH_CONCURRENCY}
+"""
+
+INIT_DOTENV = """
+GRAPHRAG_API_KEY=<API_KEY>
+"""
diff --git a/graphrag/graphrag/index/input/__init__.py b/graphrag/graphrag/index/input/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..91421867de9491e48664df49f311f3f84351337f
--- /dev/null
+++ b/graphrag/graphrag/index/input/__init__.py
@@ -0,0 +1,8 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine input package root."""
+
+from .load_input import load_input
+
+__all__ = ["load_input"]
diff --git a/graphrag/graphrag/index/input/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/index/input/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/index/input/__pycache__/text.cpython-310.pyc b/graphrag/graphrag/index/input/__pycache__/text.cpython-310.pyc
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diff --git a/graphrag/graphrag/index/input/csv.py b/graphrag/graphrag/index/input/csv.py
new file mode 100644
index 0000000000000000000000000000000000000000..2e4864a98c3a177959b8e171f071dea8c928e3aa
--- /dev/null
+++ b/graphrag/graphrag/index/input/csv.py
@@ -0,0 +1,138 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing load method definition."""
+
+import logging
+import re
+from io import BytesIO
+from typing import cast
+
+import pandas as pd
+
+from graphrag.index.config import PipelineCSVInputConfig, PipelineInputConfig
+from graphrag.index.progress import ProgressReporter
+from graphrag.index.storage import PipelineStorage
+from graphrag.index.utils import gen_md5_hash
+
+log = logging.getLogger(__name__)
+
+DEFAULT_FILE_PATTERN = re.compile(r"(?P<filename>[^\\/]).csv$")
+
+input_type = "csv"
+
+
+async def load(
+    config: PipelineInputConfig,
+    progress: ProgressReporter | None,
+    storage: PipelineStorage,
+) -> pd.DataFrame:
+    """Load csv inputs from a directory."""
+    csv_config = cast(PipelineCSVInputConfig, config)
+    log.info("Loading csv files from %s", csv_config.base_dir)
+
+    async def load_file(path: str, group: dict | None) -> pd.DataFrame:
+        if group is None:
+            group = {}
+        buffer = BytesIO(await storage.get(path, as_bytes=True))
+        data = pd.read_csv(buffer, encoding=config.encoding or "latin-1")
+        additional_keys = group.keys()
+        if len(additional_keys) > 0:
+            data[[*additional_keys]] = data.apply(
+                lambda _row: pd.Series([group[key] for key in additional_keys]), axis=1
+            )
+        if "id" not in data.columns:
+            data["id"] = data.apply(lambda x: gen_md5_hash(x, x.keys()), axis=1)
+        if csv_config.source_column is not None and "source" not in data.columns:
+            if csv_config.source_column not in data.columns:
+                log.warning(
+                    "source_column %s not found in csv file %s",
+                    csv_config.source_column,
+                    path,
+                )
+            else:
+                data["source"] = data.apply(
+                    lambda x: x[csv_config.source_column], axis=1
+                )
+        if csv_config.text_column is not None and "text" not in data.columns:
+            if csv_config.text_column not in data.columns:
+                log.warning(
+                    "text_column %s not found in csv file %s",
+                    csv_config.text_column,
+                    path,
+                )
+            else:
+                data["text"] = data.apply(lambda x: x[csv_config.text_column], axis=1)
+        if csv_config.title_column is not None and "title" not in data.columns:
+            if csv_config.title_column not in data.columns:
+                log.warning(
+                    "title_column %s not found in csv file %s",
+                    csv_config.title_column,
+                    path,
+                )
+            else:
+                data["title"] = data.apply(lambda x: x[csv_config.title_column], axis=1)
+
+        if csv_config.timestamp_column is not None:
+            fmt = csv_config.timestamp_format
+            if fmt is None:
+                msg = "Must specify timestamp_format if timestamp_column is specified"
+                raise ValueError(msg)
+
+            if csv_config.timestamp_column not in data.columns:
+                log.warning(
+                    "timestamp_column %s not found in csv file %s",
+                    csv_config.timestamp_column,
+                    path,
+                )
+            else:
+                data["timestamp"] = pd.to_datetime(
+                    data[csv_config.timestamp_column], format=fmt
+                )
+
+            # TODO: Theres probably a less gross way to do this
+            if "year" not in data.columns:
+                data["year"] = data.apply(lambda x: x["timestamp"].year, axis=1)
+            if "month" not in data.columns:
+                data["month"] = data.apply(lambda x: x["timestamp"].month, axis=1)
+            if "day" not in data.columns:
+                data["day"] = data.apply(lambda x: x["timestamp"].day, axis=1)
+            if "hour" not in data.columns:
+                data["hour"] = data.apply(lambda x: x["timestamp"].hour, axis=1)
+            if "minute" not in data.columns:
+                data["minute"] = data.apply(lambda x: x["timestamp"].minute, axis=1)
+            if "second" not in data.columns:
+                data["second"] = data.apply(lambda x: x["timestamp"].second, axis=1)
+
+        return data
+
+    file_pattern = (
+        re.compile(config.file_pattern)
+        if config.file_pattern is not None
+        else DEFAULT_FILE_PATTERN
+    )
+    files = list(
+        storage.find(
+            file_pattern,
+            progress=progress,
+            file_filter=config.file_filter,
+        )
+    )
+
+    if len(files) == 0:
+        msg = f"No CSV files found in {config.base_dir}"
+        raise ValueError(msg)
+
+    files_loaded = []
+
+    for file, group in files:
+        try:
+            files_loaded.append(await load_file(file, group))
+        except Exception:  # noqa: BLE001 (catching Exception is fine here)
+            log.warning("Warning! Error loading csv file %s. Skipping...", file)
+
+    log.info("Found %d csv files, loading %d", len(files), len(files_loaded))
+    result = pd.concat(files_loaded)
+    total_files_log = f"Total number of unfiltered csv rows: {len(result)}"
+    log.info(total_files_log)
+    return result
diff --git a/graphrag/graphrag/index/input/load_input.py b/graphrag/graphrag/index/input/load_input.py
new file mode 100644
index 0000000000000000000000000000000000000000..6d623342105bde67bd54ffc460edba4b41e0ebea
--- /dev/null
+++ b/graphrag/graphrag/index/input/load_input.py
@@ -0,0 +1,85 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing load_input method definition."""
+
+import logging
+from collections.abc import Awaitable, Callable
+from pathlib import Path
+from typing import cast
+
+import pandas as pd
+
+from graphrag.config import InputConfig, InputType
+from graphrag.index.config import PipelineInputConfig
+from graphrag.index.progress import NullProgressReporter, ProgressReporter
+from graphrag.index.storage import (
+    BlobPipelineStorage,
+    FilePipelineStorage,
+)
+
+from .csv import input_type as csv
+from .csv import load as load_csv
+from .text import input_type as text
+from .text import load as load_text
+
+log = logging.getLogger(__name__)
+loaders: dict[str, Callable[..., Awaitable[pd.DataFrame]]] = {
+    text: load_text,
+    csv: load_csv,
+}
+
+
+async def load_input(
+    config: PipelineInputConfig | InputConfig,
+    progress_reporter: ProgressReporter | None = None,
+    root_dir: str | None = None,
+) -> pd.DataFrame:
+    """Load the input data for a pipeline."""
+    root_dir = root_dir or ""
+    log.info("loading input from root_dir=%s", config.base_dir)
+    progress_reporter = progress_reporter or NullProgressReporter()
+
+    if config is None:
+        msg = "No input specified!"
+        raise ValueError(msg)
+
+    match config.type:
+        case InputType.blob:
+            log.info("using blob storage input")
+            if config.container_name is None:
+                msg = "Container name required for blob storage"
+                raise ValueError(msg)
+            if (
+                config.connection_string is None
+                and config.storage_account_blob_url is None
+            ):
+                msg = "Connection string or storage account blob url required for blob storage"
+                raise ValueError(msg)
+            storage = BlobPipelineStorage(
+                connection_string=config.connection_string,
+                storage_account_blob_url=config.storage_account_blob_url,
+                container_name=config.container_name,
+                path_prefix=config.base_dir,
+            )
+        case InputType.file:
+            log.info("using file storage for input")
+            storage = FilePipelineStorage(
+                root_dir=str(Path(root_dir) / (config.base_dir or ""))
+            )
+        case _:
+            log.info("using file storage for input")
+            storage = FilePipelineStorage(
+                root_dir=str(Path(root_dir) / (config.base_dir or ""))
+            )
+
+    if config.file_type in loaders:
+        progress = progress_reporter.child(
+            f"Loading Input ({config.file_type})", transient=False
+        )
+        loader = loaders[config.file_type]
+        results = await loader(config, progress, storage)
+        return cast(pd.DataFrame, results)
+
+    msg = f"Unknown input type {config.file_type}"
+    raise ValueError(msg)
diff --git a/graphrag/graphrag/index/input/text.py b/graphrag/graphrag/index/input/text.py
new file mode 100644
index 0000000000000000000000000000000000000000..2a676c0902458fc4702849f8c06f0e03c0a263cd
--- /dev/null
+++ b/graphrag/graphrag/index/input/text.py
@@ -0,0 +1,66 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing load method definition."""
+
+import logging
+import re
+from pathlib import Path
+from typing import Any
+
+import pandas as pd
+
+from graphrag.index.config import PipelineInputConfig
+from graphrag.index.progress import ProgressReporter
+from graphrag.index.storage import PipelineStorage
+from graphrag.index.utils import gen_md5_hash
+
+DEFAULT_FILE_PATTERN = re.compile(
+    r".*[\\/](?P<source>[^\\/]+)[\\/](?P<year>\d{4})-(?P<month>\d{2})-(?P<day>\d{2})_(?P<author>[^_]+)_\d+\.txt"
+)
+input_type = "text"
+log = logging.getLogger(__name__)
+
+
+async def load(
+    config: PipelineInputConfig,
+    progress: ProgressReporter | None,
+    storage: PipelineStorage,
+) -> pd.DataFrame:
+    """Load text inputs from a directory."""
+
+    async def load_file(
+        path: str, group: dict | None = None, _encoding: str = "utf-8"
+    ) -> dict[str, Any]:
+        if group is None:
+            group = {}
+        text = await storage.get(path, encoding="utf-8")
+        new_item = {**group, "text": text}
+        new_item["id"] = gen_md5_hash(new_item, new_item.keys())
+        new_item["title"] = str(Path(path).name)
+        return new_item
+
+    files = list(
+        storage.find(
+            re.compile(config.file_pattern),
+            progress=progress,
+            file_filter=config.file_filter,
+        )
+    )
+    if len(files) == 0:
+        msg = f"No text files found in {config.base_dir}"
+        raise ValueError(msg)
+    found_files = f"found text files from {config.base_dir}, found {files}"
+    log.info(found_files)
+
+    files_loaded = []
+
+    for file, group in files:
+        try:
+            files_loaded.append(await load_file(file, group))
+        except Exception:  # noqa: BLE001 (catching Exception is fine here)
+            log.warning("Warning! Error loading file %s. Skipping...", file)
+
+    log.info("Found %d files, loading %d", len(files), len(files_loaded))
+
+    return pd.DataFrame(files_loaded)
diff --git a/graphrag/graphrag/index/llm/__init__.py b/graphrag/graphrag/index/llm/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..008ef07ccdf6e611c9ad9565c17474724dff9146
--- /dev/null
+++ b/graphrag/graphrag/index/llm/__init__.py
@@ -0,0 +1,14 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine LLM package root."""
+
+from .load_llm import load_llm, load_llm_embeddings
+from .types import TextListSplitter, TextSplitter
+
+__all__ = [
+    "TextListSplitter",
+    "TextSplitter",
+    "load_llm",
+    "load_llm_embeddings",
+]
diff --git a/graphrag/graphrag/index/llm/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/index/llm/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/index/llm/load_llm.py b/graphrag/graphrag/index/llm/load_llm.py
new file mode 100644
index 0000000000000000000000000000000000000000..264229c887482b0d5d6ba8a110b37a1b22a29ddd
--- /dev/null
+++ b/graphrag/graphrag/index/llm/load_llm.py
@@ -0,0 +1,313 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Load llm utilities."""
+
+from __future__ import annotations
+
+import asyncio
+import logging
+from typing import TYPE_CHECKING, Any
+
+from graphrag.config.enums import LLMType
+from graphrag.llm import (
+    CompletionLLM,
+    EmbeddingLLM,
+    LLMCache,
+    LLMLimiter,
+    MockCompletionLLM,
+    OpenAIConfiguration,
+    create_openai_chat_llm,
+    create_openai_client,
+    create_openai_completion_llm,
+    create_openai_embedding_llm,
+    create_tpm_rpm_limiters,
+)
+
+if TYPE_CHECKING:
+    from datashaper import VerbCallbacks
+
+    from graphrag.index.cache import PipelineCache
+    from graphrag.index.typing import ErrorHandlerFn
+
+log = logging.getLogger(__name__)
+
+_semaphores: dict[str, asyncio.Semaphore] = {}
+_rate_limiters: dict[str, LLMLimiter] = {}
+
+
+def load_llm(
+    name: str,
+    llm_type: LLMType,
+    callbacks: VerbCallbacks,
+    cache: PipelineCache | None,
+    llm_config: dict[str, Any] | None = None,
+    chat_only=False,
+) -> CompletionLLM:
+    """Load the LLM for the entity extraction chain."""
+    on_error = _create_error_handler(callbacks)
+
+    if llm_type in loaders:
+        if chat_only and not loaders[llm_type]["chat"]:
+            msg = f"LLM type {llm_type} does not support chat"
+            raise ValueError(msg)
+        if cache is not None:
+            cache = cache.child(name)
+
+        loader = loaders[llm_type]
+        return loader["load"](on_error, cache, llm_config or {})
+
+    msg = f"Unknown LLM type {llm_type}"
+    raise ValueError(msg)
+
+
+def load_llm_embeddings(
+    name: str,
+    llm_type: LLMType,
+    callbacks: VerbCallbacks,
+    cache: PipelineCache | None,
+    llm_config: dict[str, Any] | None = None,
+    chat_only=False,
+) -> EmbeddingLLM:
+    """Load the LLM for the entity extraction chain."""
+    on_error = _create_error_handler(callbacks)
+    if llm_type in loaders:
+        if chat_only and not loaders[llm_type]["chat"]:
+            msg = f"LLM type {llm_type} does not support chat"
+            raise ValueError(msg)
+        if cache is not None:
+            cache = cache.child(name)
+
+        return loaders[llm_type]["load"](on_error, cache, llm_config or {})
+
+    msg = f"Unknown LLM type {llm_type}"
+    raise ValueError(msg)
+
+
+def _create_error_handler(callbacks: VerbCallbacks) -> ErrorHandlerFn:
+    def on_error(
+        error: BaseException | None = None,
+        stack: str | None = None,
+        details: dict | None = None,
+    ) -> None:
+        callbacks.error("Error Invoking LLM", error, stack, details)
+
+    return on_error
+
+
+def _load_openai_completion_llm(
+    on_error: ErrorHandlerFn,
+    cache: LLMCache,
+    config: dict[str, Any],
+    azure=False,
+):
+    return _create_openai_completion_llm(
+        OpenAIConfiguration({
+            **_get_base_config(config),
+            "model": config.get("model", "gpt-4-turbo-preview"),
+            "deployment_name": config.get("deployment_name"),
+            "temperature": config.get("temperature", 0.0),
+            "frequency_penalty": config.get("frequency_penalty", 0),
+            "presence_penalty": config.get("presence_penalty", 0),
+            "top_p": config.get("top_p", 1),
+            "max_tokens": config.get("max_tokens", 4000),
+            "n": config.get("n"),
+        }),
+        on_error,
+        cache,
+        azure,
+    )
+
+
+def _load_openai_chat_llm(
+    on_error: ErrorHandlerFn,
+    cache: LLMCache,
+    config: dict[str, Any],
+    azure=False,
+):
+    return _create_openai_chat_llm(
+        OpenAIConfiguration({
+            # Set default values
+            **_get_base_config(config),
+            "model": config.get("model", "gpt-4-turbo-preview"),
+            "deployment_name": config.get("deployment_name"),
+            "temperature": config.get("temperature", 0.0),
+            "frequency_penalty": config.get("frequency_penalty", 0),
+            "presence_penalty": config.get("presence_penalty", 0),
+            "top_p": config.get("top_p", 1),
+            "max_tokens": config.get("max_tokens"),
+            "n": config.get("n"),
+        }),
+        on_error,
+        cache,
+        azure,
+    )
+
+
+def _load_openai_embeddings_llm(
+    on_error: ErrorHandlerFn,
+    cache: LLMCache,
+    config: dict[str, Any],
+    azure=False,
+):
+    # TODO: Inject Cache
+    return _create_openai_embeddings_llm(
+        OpenAIConfiguration({
+            **_get_base_config(config),
+            "model": config.get(
+                "embeddings_model", config.get("model", "text-embedding-3-small")
+            ),
+            "deployment_name": config.get("deployment_name"),
+        }),
+        on_error,
+        cache,
+        azure,
+    )
+
+
+def _load_azure_openai_completion_llm(
+    on_error: ErrorHandlerFn, cache: LLMCache, config: dict[str, Any]
+):
+    return _load_openai_completion_llm(on_error, cache, config, True)
+
+
+def _load_azure_openai_chat_llm(
+    on_error: ErrorHandlerFn, cache: LLMCache, config: dict[str, Any]
+):
+    return _load_openai_chat_llm(on_error, cache, config, True)
+
+
+def _load_azure_openai_embeddings_llm(
+    on_error: ErrorHandlerFn, cache: LLMCache, config: dict[str, Any]
+):
+    return _load_openai_embeddings_llm(on_error, cache, config, True)
+
+
+def _get_base_config(config: dict[str, Any]) -> dict[str, Any]:
+    api_key = config.get("api_key")
+
+    return {
+        # Pass in all parameterized values
+        **config,
+        # Set default values
+        "api_key": api_key,
+        "api_base": config.get("api_base"),
+        "api_version": config.get("api_version"),
+        "organization": config.get("organization"),
+        "proxy": config.get("proxy"),
+        "max_retries": config.get("max_retries", 10),
+        "request_timeout": config.get("request_timeout", 60.0),
+        "model_supports_json": config.get("model_supports_json"),
+        "concurrent_requests": config.get("concurrent_requests", 4),
+        "encoding_model": config.get("encoding_model", "cl100k_base"),
+        "cognitive_services_endpoint": config.get("cognitive_services_endpoint"),
+    }
+
+
+def _load_static_response(
+    _on_error: ErrorHandlerFn, _cache: PipelineCache, config: dict[str, Any]
+) -> CompletionLLM:
+    return MockCompletionLLM(config.get("responses", []))
+
+
+loaders = {
+    LLMType.OpenAI: {
+        "load": _load_openai_completion_llm,
+        "chat": False,
+    },
+    LLMType.AzureOpenAI: {
+        "load": _load_azure_openai_completion_llm,
+        "chat": False,
+    },
+    LLMType.OpenAIChat: {
+        "load": _load_openai_chat_llm,
+        "chat": True,
+    },
+    LLMType.AzureOpenAIChat: {
+        "load": _load_azure_openai_chat_llm,
+        "chat": True,
+    },
+    LLMType.OpenAIEmbedding: {
+        "load": _load_openai_embeddings_llm,
+        "chat": False,
+    },
+    LLMType.AzureOpenAIEmbedding: {
+        "load": _load_azure_openai_embeddings_llm,
+        "chat": False,
+    },
+    LLMType.StaticResponse: {
+        "load": _load_static_response,
+        "chat": False,
+    },
+}
+
+
+def _create_openai_chat_llm(
+    configuration: OpenAIConfiguration,
+    on_error: ErrorHandlerFn,
+    cache: LLMCache,
+    azure=False,
+) -> CompletionLLM:
+    """Create an openAI chat llm."""
+    client = create_openai_client(configuration=configuration, azure=azure)
+    limiter = _create_limiter(configuration)
+    semaphore = _create_semaphore(configuration)
+    return create_openai_chat_llm(
+        client, configuration, cache, limiter, semaphore, on_error=on_error
+    )
+
+
+def _create_openai_completion_llm(
+    configuration: OpenAIConfiguration,
+    on_error: ErrorHandlerFn,
+    cache: LLMCache,
+    azure=False,
+) -> CompletionLLM:
+    """Create an openAI completion llm."""
+    client = create_openai_client(configuration=configuration, azure=azure)
+    limiter = _create_limiter(configuration)
+    semaphore = _create_semaphore(configuration)
+    return create_openai_completion_llm(
+        client, configuration, cache, limiter, semaphore, on_error=on_error
+    )
+
+
+def _create_openai_embeddings_llm(
+    configuration: OpenAIConfiguration,
+    on_error: ErrorHandlerFn,
+    cache: LLMCache,
+    azure=False,
+) -> EmbeddingLLM:
+    """Create an openAI embeddings llm."""
+    client = create_openai_client(configuration=configuration, azure=azure)
+    limiter = _create_limiter(configuration)
+    semaphore = _create_semaphore(configuration)
+    return create_openai_embedding_llm(
+        client, configuration, cache, limiter, semaphore, on_error=on_error
+    )
+
+
+def _create_limiter(configuration: OpenAIConfiguration) -> LLMLimiter:
+    limit_name = configuration.model or configuration.deployment_name or "default"
+    if limit_name not in _rate_limiters:
+        tpm = configuration.tokens_per_minute
+        rpm = configuration.requests_per_minute
+        log.info("create TPM/RPM limiter for %s: TPM=%s, RPM=%s", limit_name, tpm, rpm)
+        _rate_limiters[limit_name] = create_tpm_rpm_limiters(configuration)
+    return _rate_limiters[limit_name]
+
+
+def _create_semaphore(configuration: OpenAIConfiguration) -> asyncio.Semaphore | None:
+    limit_name = configuration.model or configuration.deployment_name or "default"
+    concurrency = configuration.concurrent_requests
+
+    # bypass the semaphore if concurrency is zero
+    if not concurrency:
+        log.info("no concurrency limiter for %s", limit_name)
+        return None
+
+    if limit_name not in _semaphores:
+        log.info("create concurrency limiter for %s: %s", limit_name, concurrency)
+        _semaphores[limit_name] = asyncio.Semaphore(concurrency)
+
+    return _semaphores[limit_name]
diff --git a/graphrag/graphrag/index/llm/types.py b/graphrag/graphrag/index/llm/types.py
new file mode 100644
index 0000000000000000000000000000000000000000..73c47737cbc60fbd3f1e1978dbf50b244516e9f2
--- /dev/null
+++ b/graphrag/graphrag/index/llm/types.py
@@ -0,0 +1,10 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing the 'LLMtype' model."""
+
+from collections.abc import Callable
+from typing import TypeAlias
+
+TextSplitter: TypeAlias = Callable[[str], list[str]]
+TextListSplitter: TypeAlias = Callable[[list[str]], list[str]]
diff --git a/graphrag/graphrag/index/load_pipeline_config.py b/graphrag/graphrag/index/load_pipeline_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..50a532c5030d904dc562d5a8aeb1d093d349a662
--- /dev/null
+++ b/graphrag/graphrag/index/load_pipeline_config.py
@@ -0,0 +1,79 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing read_dotenv, load_pipeline_config, _parse_yaml and _create_include_constructor methods definition."""
+
+import json
+from pathlib import Path
+
+import yaml
+from pyaml_env import parse_config as parse_config_with_env
+
+from graphrag.config import create_graphrag_config, read_dotenv
+from graphrag.index.config import PipelineConfig
+
+from .create_pipeline_config import create_pipeline_config
+
+
+def load_pipeline_config(config_or_path: str | PipelineConfig) -> PipelineConfig:
+    """Load a pipeline config from a file path or a config object."""
+    if isinstance(config_or_path, PipelineConfig):
+        config = config_or_path
+    elif config_or_path == "default":
+        config = create_pipeline_config(create_graphrag_config(root_dir="."))
+    else:
+        # Is there a .env file in the same directory as the config?
+        read_dotenv(str(Path(config_or_path).parent))
+
+        if config_or_path.endswith(".json"):
+            with Path(config_or_path).open(encoding="utf-8") as f:
+                config = json.load(f)
+        elif config_or_path.endswith((".yml", ".yaml")):
+            config = _parse_yaml(config_or_path)
+        else:
+            msg = f"Invalid config file type: {config_or_path}"
+            raise ValueError(msg)
+
+        config = PipelineConfig.model_validate(config)
+        if not config.root_dir:
+            config.root_dir = str(Path(config_or_path).parent.resolve())
+
+    if config.extends is not None:
+        if isinstance(config.extends, str):
+            config.extends = [config.extends]
+        for extended_config in config.extends:
+            extended_config = load_pipeline_config(extended_config)
+            merged_config = {
+                **json.loads(extended_config.model_dump_json()),
+                **json.loads(config.model_dump_json(exclude_unset=True)),
+            }
+            config = PipelineConfig.model_validate(merged_config)
+
+    return config
+
+
+def _parse_yaml(path: str):
+    """Parse a yaml file, with support for !include directives."""
+    # I don't like that this is static
+    loader_class = yaml.SafeLoader
+
+    # Add !include constructor if not already present.
+    if "!include" not in loader_class.yaml_constructors:
+        loader_class.add_constructor("!include", _create_include_constructor())
+
+    return parse_config_with_env(path, loader=loader_class, default_value="")
+
+
+def _create_include_constructor():
+    """Create a constructor for !include directives."""
+
+    def handle_include(loader: yaml.Loader, node: yaml.Node):
+        """Include file referenced at node."""
+        filename = str(Path(loader.name).parent / node.value)
+        if filename.endswith((".yml", ".yaml")):
+            return _parse_yaml(filename)
+
+        with Path(filename).open(encoding="utf-8") as f:
+            return f.read()
+
+    return handle_include
diff --git a/graphrag/graphrag/index/progress/__init__.py b/graphrag/graphrag/index/progress/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..df6a21523df576df0926ee2feed3c075c32c1b81
--- /dev/null
+++ b/graphrag/graphrag/index/progress/__init__.py
@@ -0,0 +1,8 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Progress-reporting components."""
+
+from .types import NullProgressReporter, PrintProgressReporter, ProgressReporter
+
+__all__ = ["NullProgressReporter", "PrintProgressReporter", "ProgressReporter"]
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diff --git a/graphrag/graphrag/index/progress/__pycache__/types.cpython-310.pyc b/graphrag/graphrag/index/progress/__pycache__/types.cpython-310.pyc
new file mode 100644
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diff --git a/graphrag/graphrag/index/progress/rich.py b/graphrag/graphrag/index/progress/rich.py
new file mode 100644
index 0000000000000000000000000000000000000000..362b64f0c8e6ee5813cd6b277fc793641df5d46a
--- /dev/null
+++ b/graphrag/graphrag/index/progress/rich.py
@@ -0,0 +1,165 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Rich-based progress reporter for CLI use."""
+
+# Print iterations progress
+import asyncio
+
+from datashaper import Progress as DSProgress
+from rich.console import Console, Group
+from rich.live import Live
+from rich.progress import Progress, TaskID, TimeElapsedColumn
+from rich.spinner import Spinner
+from rich.tree import Tree
+
+from .types import ProgressReporter
+
+
+# https://stackoverflow.com/a/34325723
+class RichProgressReporter(ProgressReporter):
+    """A rich-based progress reporter for CLI use."""
+
+    _console: Console
+    _group: Group
+    _tree: Tree
+    _live: Live
+    _task: TaskID | None = None
+    _prefix: str
+    _transient: bool
+    _disposing: bool = False
+    _progressbar: Progress
+    _last_refresh: float = 0
+
+    def dispose(self) -> None:
+        """Dispose of the progress reporter."""
+        self._disposing = True
+        self._live.stop()
+
+    @property
+    def console(self) -> Console:
+        """Get the console."""
+        return self._console
+
+    @property
+    def group(self) -> Group:
+        """Get the group."""
+        return self._group
+
+    @property
+    def tree(self) -> Tree:
+        """Get the tree."""
+        return self._tree
+
+    @property
+    def live(self) -> Live:
+        """Get the live."""
+        return self._live
+
+    def __init__(
+        self,
+        prefix: str,
+        parent: "RichProgressReporter | None" = None,
+        transient: bool = True,
+    ) -> None:
+        """Create a new rich-based progress reporter."""
+        self._prefix = prefix
+
+        if parent is None:
+            console = Console()
+            group = Group(Spinner("dots", prefix), fit=True)
+            tree = Tree(group)
+            live = Live(
+                tree, console=console, refresh_per_second=1, vertical_overflow="crop"
+            )
+            live.start()
+
+            self._console = console
+            self._group = group
+            self._tree = tree
+            self._live = live
+            self._transient = False
+        else:
+            self._console = parent.console
+            self._group = parent.group
+            progress_columns = [*Progress.get_default_columns(), TimeElapsedColumn()]
+            self._progressbar = Progress(
+                *progress_columns, console=self._console, transient=transient
+            )
+
+            tree = Tree(prefix)
+            tree.add(self._progressbar)
+            tree.hide_root = True
+
+            if parent is not None:
+                parent_tree = parent.tree
+                parent_tree.hide_root = False
+                parent_tree.add(tree)
+
+            self._tree = tree
+            self._live = parent.live
+            self._transient = transient
+
+        self.refresh()
+
+    def refresh(self) -> None:
+        """Perform a debounced refresh."""
+        now = asyncio.get_event_loop().time()
+        duration = now - self._last_refresh
+        if duration > 0.1:
+            self._last_refresh = now
+            self.force_refresh()
+
+    def force_refresh(self) -> None:
+        """Force a refresh."""
+        self.live.refresh()
+
+    def stop(self) -> None:
+        """Stop the progress reporter."""
+        self._live.stop()
+
+    def child(self, prefix: str, transient: bool = True) -> ProgressReporter:
+        """Create a child progress bar."""
+        return RichProgressReporter(parent=self, prefix=prefix, transient=transient)
+
+    def error(self, message: str) -> None:
+        """Report an error."""
+        self._console.print(f"❌ [red]{message}[/red]")
+
+    def warning(self, message: str) -> None:
+        """Report a warning."""
+        self._console.print(f"⚠️ [yellow]{message}[/yellow]")
+
+    def success(self, message: str) -> None:
+        """Report success."""
+        self._console.print(f"🚀 [green]{message}[/green]")
+
+    def info(self, message: str) -> None:
+        """Report information."""
+        self._console.print(message)
+
+    def __call__(self, progress_update: DSProgress) -> None:
+        """Update progress."""
+        if self._disposing:
+            return
+        progressbar = self._progressbar
+
+        if self._task is None:
+            self._task = progressbar.add_task(self._prefix)
+
+        progress_description = ""
+        if progress_update.description is not None:
+            progress_description = f" - {progress_update.description}"
+
+        completed = progress_update.completed_items or progress_update.percent
+        total = progress_update.total_items or 1
+        progressbar.update(
+            self._task,
+            completed=completed,
+            total=total,
+            description=f"{self._prefix}{progress_description}",
+        )
+        if completed == total and self._transient:
+            progressbar.update(self._task, visible=False)
+
+        self.refresh()
diff --git a/graphrag/graphrag/index/progress/types.py b/graphrag/graphrag/index/progress/types.py
new file mode 100644
index 0000000000000000000000000000000000000000..2912155ed1f86985fab1b6e2b90af4e69e0b23b2
--- /dev/null
+++ b/graphrag/graphrag/index/progress/types.py
@@ -0,0 +1,128 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Types for status reporting."""
+
+from abc import ABC, abstractmethod
+
+from datashaper import Progress
+
+
+class ProgressReporter(ABC):
+    """
+    Abstract base class for progress reporters.
+
+    This is used to report workflow processing progress via mechanisms like progress-bars.
+    """
+
+    @abstractmethod
+    def __call__(self, update: Progress):
+        """Update progress."""
+
+    @abstractmethod
+    def dispose(self):
+        """Dispose of the progress reporter."""
+
+    @abstractmethod
+    def child(self, prefix: str, transient=True) -> "ProgressReporter":
+        """Create a child progress bar."""
+
+    @abstractmethod
+    def force_refresh(self) -> None:
+        """Force a refresh."""
+
+    @abstractmethod
+    def stop(self) -> None:
+        """Stop the progress reporter."""
+
+    @abstractmethod
+    def error(self, message: str) -> None:
+        """Report an error."""
+
+    @abstractmethod
+    def warning(self, message: str) -> None:
+        """Report a warning."""
+
+    @abstractmethod
+    def info(self, message: str) -> None:
+        """Report information."""
+
+    @abstractmethod
+    def success(self, message: str) -> None:
+        """Report success."""
+
+
+class NullProgressReporter(ProgressReporter):
+    """A progress reporter that does nothing."""
+
+    def __call__(self, update: Progress) -> None:
+        """Update progress."""
+
+    def dispose(self) -> None:
+        """Dispose of the progress reporter."""
+
+    def child(self, prefix: str, transient: bool = True) -> ProgressReporter:
+        """Create a child progress bar."""
+        return self
+
+    def force_refresh(self) -> None:
+        """Force a refresh."""
+
+    def stop(self) -> None:
+        """Stop the progress reporter."""
+
+    def error(self, message: str) -> None:
+        """Report an error."""
+
+    def warning(self, message: str) -> None:
+        """Report a warning."""
+
+    def info(self, message: str) -> None:
+        """Report information."""
+
+    def success(self, message: str) -> None:
+        """Report success."""
+
+
+class PrintProgressReporter(ProgressReporter):
+    """A progress reporter that does nothing."""
+
+    prefix: str
+
+    def __init__(self, prefix: str):
+        """Create a new progress reporter."""
+        self.prefix = prefix
+        print(f"\n{self.prefix}", end="")  # noqa T201
+
+    def __call__(self, update: Progress) -> None:
+        """Update progress."""
+        print(".", end="")  # noqa T201
+
+    def dispose(self) -> None:
+        """Dispose of the progress reporter."""
+
+    def child(self, prefix: str, transient: bool = True) -> "ProgressReporter":
+        """Create a child progress bar."""
+        return PrintProgressReporter(prefix)
+
+    def stop(self) -> None:
+        """Stop the progress reporter."""
+
+    def force_refresh(self) -> None:
+        """Force a refresh."""
+
+    def error(self, message: str) -> None:
+        """Report an error."""
+        print(f"\n{self.prefix}ERROR: {message}")  # noqa T201
+
+    def warning(self, message: str) -> None:
+        """Report a warning."""
+        print(f"\n{self.prefix}WARNING: {message}")  # noqa T201
+
+    def info(self, message: str) -> None:
+        """Report information."""
+        print(f"\n{self.prefix}INFO: {message}")  # noqa T201
+
+    def success(self, message: str) -> None:
+        """Report success."""
+        print(f"\n{self.prefix}SUCCESS: {message}")  # noqa T201
diff --git a/graphrag/graphrag/index/py.typed b/graphrag/graphrag/index/py.typed
new file mode 100644
index 0000000000000000000000000000000000000000..f4bd29895519bc8610fee2c13627ca50c0032e44
--- /dev/null
+++ b/graphrag/graphrag/index/py.typed
@@ -0,0 +1,2 @@
+# This package supports type hinting,
+# see https://www.python.org/dev/peps/pep-0561/#packaging-type-information
\ No newline at end of file
diff --git a/graphrag/graphrag/index/reporting/__init__.py b/graphrag/graphrag/index/reporting/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..697d4fc51f9e2141b2d6ba09957834c19462e446
--- /dev/null
+++ b/graphrag/graphrag/index/reporting/__init__.py
@@ -0,0 +1,18 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Reporting utilities and implementations for the indexing engine."""
+
+from .blob_workflow_callbacks import BlobWorkflowCallbacks
+from .console_workflow_callbacks import ConsoleWorkflowCallbacks
+from .file_workflow_callbacks import FileWorkflowCallbacks
+from .load_pipeline_reporter import load_pipeline_reporter
+from .progress_workflow_callbacks import ProgressWorkflowCallbacks
+
+__all__ = [
+    "BlobWorkflowCallbacks",
+    "ConsoleWorkflowCallbacks",
+    "FileWorkflowCallbacks",
+    "ProgressWorkflowCallbacks",
+    "load_pipeline_reporter",
+]
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diff --git a/graphrag/graphrag/index/reporting/blob_workflow_callbacks.py b/graphrag/graphrag/index/reporting/blob_workflow_callbacks.py
new file mode 100644
index 0000000000000000000000000000000000000000..28f0b6d991f80c832550c9e129d380413e264c84
--- /dev/null
+++ b/graphrag/graphrag/index/reporting/blob_workflow_callbacks.py
@@ -0,0 +1,108 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A reporter that writes to a blob storage."""
+
+import json
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Any
+
+from azure.identity import DefaultAzureCredential
+from azure.storage.blob import BlobServiceClient
+from datashaper import NoopWorkflowCallbacks
+
+
+class BlobWorkflowCallbacks(NoopWorkflowCallbacks):
+    """A reporter that writes to a blob storage."""
+
+    _blob_service_client: BlobServiceClient
+    _container_name: str
+    _max_block_count: int = 25000  # 25k blocks per blob
+
+    def __init__(
+        self,
+        connection_string: str | None,
+        container_name: str,
+        blob_name: str = "",
+        base_dir: str | None = None,
+        storage_account_blob_url: str | None = None,
+    ):  # type: ignore
+        """Create a new instance of the BlobStorageReporter class."""
+        if container_name is None:
+            msg = "No container name provided for blob storage."
+            raise ValueError(msg)
+        if connection_string is None and storage_account_blob_url is None:
+            msg = "No storage account blob url provided for blob storage."
+            raise ValueError(msg)
+        self._connection_string = connection_string
+        self._storage_account_blob_url = storage_account_blob_url
+        if self._connection_string:
+            self._blob_service_client = BlobServiceClient.from_connection_string(
+                self._connection_string
+            )
+        else:
+            if storage_account_blob_url is None:
+                msg = "Either connection_string or storage_account_blob_url must be provided."
+                raise ValueError(msg)
+
+            self._blob_service_client = BlobServiceClient(
+                storage_account_blob_url,
+                credential=DefaultAzureCredential(),
+            )
+
+        if blob_name == "":
+            blob_name = f"report/{datetime.now(tz=timezone.utc).strftime('%Y-%m-%d-%H:%M:%S:%f')}.logs.json"
+
+        self._blob_name = str(Path(base_dir or "") / blob_name)
+        self._container_name = container_name
+        self._blob_client = self._blob_service_client.get_blob_client(
+            self._container_name, self._blob_name
+        )
+        if not self._blob_client.exists():
+            self._blob_client.create_append_blob()
+
+        self._num_blocks = 0  # refresh block counter
+
+    def _write_log(self, log: dict[str, Any]):
+        # create a new file when block count hits close 25k
+        if (
+            self._num_blocks >= self._max_block_count
+        ):  # Check if block count exceeds 25k
+            self.__init__(
+                self._connection_string,
+                self._container_name,
+                storage_account_blob_url=self._storage_account_blob_url,
+            )
+
+        blob_client = self._blob_service_client.get_blob_client(
+            self._container_name, self._blob_name
+        )
+        blob_client.append_block(json.dumps(log) + "\n")
+
+        # update the blob's block count
+        self._num_blocks += 1
+
+    def on_error(
+        self,
+        message: str,
+        cause: BaseException | None = None,
+        stack: str | None = None,
+        details: dict | None = None,
+    ):
+        """Report an error."""
+        self._write_log({
+            "type": "error",
+            "data": message,
+            "cause": str(cause),
+            "stack": stack,
+            "details": details,
+        })
+
+    def on_warning(self, message: str, details: dict | None = None):
+        """Report a warning."""
+        self._write_log({"type": "warning", "data": message, "details": details})
+
+    def on_log(self, message: str, details: dict | None = None):
+        """Report a generic log message."""
+        self._write_log({"type": "log", "data": message, "details": details})
diff --git a/graphrag/graphrag/index/reporting/console_workflow_callbacks.py b/graphrag/graphrag/index/reporting/console_workflow_callbacks.py
new file mode 100644
index 0000000000000000000000000000000000000000..b1ab1278f74fb252948213b26079d363ef06f4ca
--- /dev/null
+++ b/graphrag/graphrag/index/reporting/console_workflow_callbacks.py
@@ -0,0 +1,32 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Console-based reporter for the workflow engine."""
+
+from datashaper import NoopWorkflowCallbacks
+
+
+class ConsoleWorkflowCallbacks(NoopWorkflowCallbacks):
+    """A reporter that writes to a console."""
+
+    def on_error(
+        self,
+        message: str,
+        cause: BaseException | None = None,
+        stack: str | None = None,
+        details: dict | None = None,
+    ):
+        """Handle when an error occurs."""
+        print(message, str(cause), stack, details)  # noqa T201
+
+    def on_warning(self, message: str, details: dict | None = None):
+        """Handle when a warning occurs."""
+        _print_warning(message)
+
+    def on_log(self, message: str, details: dict | None = None):
+        """Handle when a log message is produced."""
+        print(message, details)  # noqa T201
+
+
+def _print_warning(skk):
+    print("\033[93m {}\033[00m".format(skk))  # noqa T201
diff --git a/graphrag/graphrag/index/reporting/file_workflow_callbacks.py b/graphrag/graphrag/index/reporting/file_workflow_callbacks.py
new file mode 100644
index 0000000000000000000000000000000000000000..e071498629eaa5050f26fa31186006565f2369f0
--- /dev/null
+++ b/graphrag/graphrag/index/reporting/file_workflow_callbacks.py
@@ -0,0 +1,67 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A reporter that writes to a file."""
+
+import json
+import logging
+from io import TextIOWrapper
+from pathlib import Path
+
+from datashaper import NoopWorkflowCallbacks
+
+log = logging.getLogger(__name__)
+
+
+class FileWorkflowCallbacks(NoopWorkflowCallbacks):
+    """A reporter that writes to a file."""
+
+    _out_stream: TextIOWrapper
+
+    def __init__(self, directory: str):
+        """Create a new file-based workflow reporter."""
+        Path(directory).mkdir(parents=True, exist_ok=True)
+        self._out_stream = open(  # noqa SIM115
+            Path(directory) / "logs.json", "a", encoding="utf-8"
+        )
+
+    def on_error(
+        self,
+        message: str,
+        cause: BaseException | None = None,
+        stack: str | None = None,
+        details: dict | None = None,
+    ):
+        """Handle when an error occurs."""
+        self._out_stream.write(
+            json.dumps({
+                "type": "error",
+                "data": message,
+                "stack": stack,
+                "source": str(cause),
+                "details": details,
+            })
+            + "\n"
+        )
+        message = f"{message} details={details}"
+        log.info(message)
+
+    def on_warning(self, message: str, details: dict | None = None):
+        """Handle when a warning occurs."""
+        self._out_stream.write(
+            json.dumps({"type": "warning", "data": message, "details": details}) + "\n"
+        )
+        _print_warning(message)
+
+    def on_log(self, message: str, details: dict | None = None):
+        """Handle when a log message is produced."""
+        self._out_stream.write(
+            json.dumps({"type": "log", "data": message, "details": details}) + "\n"
+        )
+
+        message = f"{message} details={details}"
+        log.info(message)
+
+
+def _print_warning(skk):
+    log.warning(skk)
diff --git a/graphrag/graphrag/index/reporting/load_pipeline_reporter.py b/graphrag/graphrag/index/reporting/load_pipeline_reporter.py
new file mode 100644
index 0000000000000000000000000000000000000000..0386ea03d1eb623630ae0e53fc2b856b7a685f1c
--- /dev/null
+++ b/graphrag/graphrag/index/reporting/load_pipeline_reporter.py
@@ -0,0 +1,47 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Load pipeline reporter method."""
+
+from pathlib import Path
+from typing import cast
+
+from datashaper import WorkflowCallbacks
+
+from graphrag.config import ReportingType
+from graphrag.index.config import (
+    PipelineBlobReportingConfig,
+    PipelineFileReportingConfig,
+    PipelineReportingConfig,
+)
+
+from .blob_workflow_callbacks import BlobWorkflowCallbacks
+from .console_workflow_callbacks import ConsoleWorkflowCallbacks
+from .file_workflow_callbacks import FileWorkflowCallbacks
+
+
+def load_pipeline_reporter(
+    config: PipelineReportingConfig | None, root_dir: str | None
+) -> WorkflowCallbacks:
+    """Create a reporter for the given pipeline config."""
+    config = config or PipelineFileReportingConfig(base_dir="reports")
+
+    match config.type:
+        case ReportingType.file:
+            config = cast(PipelineFileReportingConfig, config)
+            return FileWorkflowCallbacks(
+                str(Path(root_dir or "") / (config.base_dir or ""))
+            )
+        case ReportingType.console:
+            return ConsoleWorkflowCallbacks()
+        case ReportingType.blob:
+            config = cast(PipelineBlobReportingConfig, config)
+            return BlobWorkflowCallbacks(
+                config.connection_string,
+                config.container_name,
+                base_dir=config.base_dir,
+                storage_account_blob_url=config.storage_account_blob_url,
+            )
+        case _:
+            msg = f"Unknown reporting type: {config.type}"
+            raise ValueError(msg)
diff --git a/graphrag/graphrag/index/reporting/progress_workflow_callbacks.py b/graphrag/graphrag/index/reporting/progress_workflow_callbacks.py
new file mode 100644
index 0000000000000000000000000000000000000000..68f10d75302027a903cd288df8739f4ece33030a
--- /dev/null
+++ b/graphrag/graphrag/index/reporting/progress_workflow_callbacks.py
@@ -0,0 +1,54 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A workflow callback manager that emits updates to a ProgressReporter."""
+
+from typing import Any
+
+from datashaper import ExecutionNode, NoopWorkflowCallbacks, Progress, TableContainer
+
+from graphrag.index.progress import ProgressReporter
+
+
+class ProgressWorkflowCallbacks(NoopWorkflowCallbacks):
+    """A callbackmanager that delegates to a ProgressReporter."""
+
+    _root_progress: ProgressReporter
+    _progress_stack: list[ProgressReporter]
+
+    def __init__(self, progress: ProgressReporter) -> None:
+        """Create a new ProgressWorkflowCallbacks."""
+        self._progress = progress
+        self._progress_stack = [progress]
+
+    def _pop(self) -> None:
+        self._progress_stack.pop()
+
+    def _push(self, name: str) -> None:
+        self._progress_stack.append(self._latest.child(name))
+
+    @property
+    def _latest(self) -> ProgressReporter:
+        return self._progress_stack[-1]
+
+    def on_workflow_start(self, name: str, instance: object) -> None:
+        """Execute this callback when a workflow starts."""
+        self._push(name)
+
+    def on_workflow_end(self, name: str, instance: object) -> None:
+        """Execute this callback when a workflow ends."""
+        self._pop()
+
+    def on_step_start(self, node: ExecutionNode, inputs: dict[str, Any]) -> None:
+        """Execute this callback every time a step starts."""
+        verb_id_str = f" ({node.node_id})" if node.has_explicit_id else ""
+        self._push(f"Verb {node.verb.name}{verb_id_str}")
+        self._latest(Progress(percent=0))
+
+    def on_step_end(self, node: ExecutionNode, result: TableContainer | None) -> None:
+        """Execute this callback every time a step ends."""
+        self._pop()
+
+    def on_step_progress(self, node: ExecutionNode, progress: Progress) -> None:
+        """Handle when progress occurs."""
+        self._latest(progress)
diff --git a/graphrag/graphrag/index/run.py b/graphrag/graphrag/index/run.py
new file mode 100644
index 0000000000000000000000000000000000000000..94a519de8705c50198f23767baf49d77df4ab476
--- /dev/null
+++ b/graphrag/graphrag/index/run.py
@@ -0,0 +1,463 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Different methods to run the pipeline."""
+
+import gc
+import json
+import logging
+import time
+import traceback
+from collections.abc import AsyncIterable
+from dataclasses import asdict
+from io import BytesIO
+from pathlib import Path
+from string import Template
+from typing import cast
+
+import pandas as pd
+from datashaper import (
+    DEFAULT_INPUT_NAME,
+    MemoryProfile,
+    Workflow,
+    WorkflowCallbacks,
+    WorkflowCallbacksManager,
+    WorkflowRunResult,
+)
+
+from .cache import InMemoryCache, PipelineCache, load_cache
+from .config import (
+    PipelineBlobCacheConfig,
+    PipelineBlobReportingConfig,
+    PipelineBlobStorageConfig,
+    PipelineCacheConfigTypes,
+    PipelineConfig,
+    PipelineFileCacheConfig,
+    PipelineFileReportingConfig,
+    PipelineFileStorageConfig,
+    PipelineInputConfigTypes,
+    PipelineMemoryCacheConfig,
+    PipelineReportingConfigTypes,
+    PipelineStorageConfigTypes,
+    PipelineWorkflowReference,
+    PipelineWorkflowStep,
+)
+from .context import PipelineRunContext, PipelineRunStats
+from .emit import TableEmitterType, create_table_emitters
+from .input import load_input
+from .load_pipeline_config import load_pipeline_config
+from .progress import NullProgressReporter, ProgressReporter
+from .reporting import (
+    ConsoleWorkflowCallbacks,
+    ProgressWorkflowCallbacks,
+    load_pipeline_reporter,
+)
+from .storage import MemoryPipelineStorage, PipelineStorage, load_storage
+from .typing import PipelineRunResult
+
+# Register all verbs
+from .verbs import *  # noqa
+from .workflows import (
+    VerbDefinitions,
+    WorkflowDefinitions,
+    create_workflow,
+    load_workflows,
+)
+
+log = logging.getLogger(__name__)
+
+
+async def run_pipeline_with_config(
+    config_or_path: PipelineConfig | str,
+    workflows: list[PipelineWorkflowReference] | None = None,
+    dataset: pd.DataFrame | None = None,
+    storage: PipelineStorage | None = None,
+    cache: PipelineCache | None = None,
+    callbacks: WorkflowCallbacks | None = None,
+    progress_reporter: ProgressReporter | None = None,
+    input_post_process_steps: list[PipelineWorkflowStep] | None = None,
+    additional_verbs: VerbDefinitions | None = None,
+    additional_workflows: WorkflowDefinitions | None = None,
+    emit: list[TableEmitterType] | None = None,
+    memory_profile: bool = False,
+    run_id: str | None = None,
+    is_resume_run: bool = False,
+    **_kwargs: dict,
+) -> AsyncIterable[PipelineRunResult]:
+    """Run a pipeline with the given config.
+
+    Args:
+        - config_or_path - The config to run the pipeline with
+        - workflows - The workflows to run (this overrides the config)
+        - dataset - The dataset to run the pipeline on (this overrides the config)
+        - storage - The storage to use for the pipeline (this overrides the config)
+        - cache - The cache to use for the pipeline (this overrides the config)
+        - reporter - The reporter to use for the pipeline (this overrides the config)
+        - input_post_process_steps - The post process steps to run on the input data (this overrides the config)
+        - additional_verbs - The custom verbs to use for the pipeline.
+        - additional_workflows - The custom workflows to use for the pipeline.
+        - emit - The table emitters to use for the pipeline.
+        - memory_profile - Whether or not to profile the memory.
+        - run_id - The run id to start or resume from.
+    """
+    if isinstance(config_or_path, str):
+        log.info("Running pipeline with config %s", config_or_path)
+    else:
+        log.info("Running pipeline")
+
+    run_id = run_id or time.strftime("%Y%m%d-%H%M%S")
+    config = load_pipeline_config(config_or_path)
+    config = _apply_substitutions(config, run_id)
+    root_dir = config.root_dir
+
+    def _create_storage(config: PipelineStorageConfigTypes | None) -> PipelineStorage:
+        return load_storage(
+            config
+            or PipelineFileStorageConfig(base_dir=str(Path(root_dir or "") / "output"))
+        )
+
+    def _create_cache(config: PipelineCacheConfigTypes | None) -> PipelineCache:
+        return load_cache(config or PipelineMemoryCacheConfig(), root_dir=root_dir)
+
+    def _create_reporter(
+        config: PipelineReportingConfigTypes | None,
+    ) -> WorkflowCallbacks | None:
+        return load_pipeline_reporter(config, root_dir) if config else None
+
+    async def _create_input(
+        config: PipelineInputConfigTypes | None,
+    ) -> pd.DataFrame | None:
+        if config is None:
+            return None
+
+        return await load_input(config, progress_reporter, root_dir)
+
+    def _create_postprocess_steps(
+        config: PipelineInputConfigTypes | None,
+    ) -> list[PipelineWorkflowStep] | None:
+        return config.post_process if config is not None else None
+
+    progress_reporter = progress_reporter or NullProgressReporter()
+    storage = storage or _create_storage(config.storage)
+    cache = cache or _create_cache(config.cache)
+    callbacks = callbacks or _create_reporter(config.reporting)
+    dataset = dataset if dataset is not None else await _create_input(config.input)
+    post_process_steps = input_post_process_steps or _create_postprocess_steps(
+        config.input
+    )
+    workflows = workflows or config.workflows
+
+    if dataset is None:
+        msg = "No dataset provided!"
+        raise ValueError(msg)
+
+    async for table in run_pipeline(
+        workflows=workflows,
+        dataset=dataset,
+        storage=storage,
+        cache=cache,
+        callbacks=callbacks,
+        input_post_process_steps=post_process_steps,
+        memory_profile=memory_profile,
+        additional_verbs=additional_verbs,
+        additional_workflows=additional_workflows,
+        progress_reporter=progress_reporter,
+        emit=emit,
+        is_resume_run=is_resume_run,
+    ):
+        yield table
+
+
+async def run_pipeline(
+    workflows: list[PipelineWorkflowReference],
+    dataset: pd.DataFrame,
+    storage: PipelineStorage | None = None,
+    cache: PipelineCache | None = None,
+    callbacks: WorkflowCallbacks | None = None,
+    progress_reporter: ProgressReporter | None = None,
+    input_post_process_steps: list[PipelineWorkflowStep] | None = None,
+    additional_verbs: VerbDefinitions | None = None,
+    additional_workflows: WorkflowDefinitions | None = None,
+    emit: list[TableEmitterType] | None = None,
+    memory_profile: bool = False,
+    is_resume_run: bool = False,
+    **_kwargs: dict,
+) -> AsyncIterable[PipelineRunResult]:
+    """Run the pipeline.
+
+    Args:
+        - workflows - The workflows to run
+        - dataset - The dataset to run the pipeline on, specifically a dataframe with the following columns at a minimum:
+            - id - The id of the document
+            - text - The text of the document
+            - title - The title of the document
+            These must exist after any post process steps are run if there are any!
+        - storage - The storage to use for the pipeline
+        - cache - The cache to use for the pipeline
+        - reporter - The reporter to use for the pipeline
+        - input_post_process_steps - The post process steps to run on the input data
+        - additional_verbs - The custom verbs to use for the pipeline
+        - additional_workflows - The custom workflows to use for the pipeline
+        - debug - Whether or not to run in debug mode
+    Returns:
+        - output - An iterable of workflow results as they complete running, as well as any errors that occur
+    """
+    start_time = time.time()
+    stats = PipelineRunStats()
+    storage = storage or MemoryPipelineStorage()
+    cache = cache or InMemoryCache()
+    progress_reporter = progress_reporter or NullProgressReporter()
+    callbacks = callbacks or ConsoleWorkflowCallbacks()
+    callbacks = _create_callback_chain(callbacks, progress_reporter)
+    emit = emit or [TableEmitterType.Parquet]
+    emitters = create_table_emitters(
+        emit,
+        storage,
+        lambda e, s, d: cast(WorkflowCallbacks, callbacks).on_error(
+            "Error emitting table", e, s, d
+        ),
+    )
+    loaded_workflows = load_workflows(
+        workflows,
+        additional_verbs=additional_verbs,
+        additional_workflows=additional_workflows,
+        memory_profile=memory_profile,
+    )
+    workflows_to_run = loaded_workflows.workflows
+    workflow_dependencies = loaded_workflows.dependencies
+
+    context = _create_run_context(storage, cache, stats)
+
+    if len(emitters) == 0:
+        log.info(
+            "No emitters provided. No table outputs will be generated. This is probably not correct."
+        )
+
+    async def dump_stats() -> None:
+        await storage.set("stats.json", json.dumps(asdict(stats), indent=4))
+
+    async def load_table_from_storage(name: str) -> pd.DataFrame:
+        if not await storage.has(name):
+            msg = f"Could not find {name} in storage!"
+            raise ValueError(msg)
+        try:
+            log.info("read table from storage: %s", name)
+            return pd.read_parquet(BytesIO(await storage.get(name, as_bytes=True)))
+        except Exception:
+            log.exception("error loading table from storage: %s", name)
+            raise
+
+    async def inject_workflow_data_dependencies(workflow: Workflow) -> None:
+        workflow.add_table(DEFAULT_INPUT_NAME, dataset)
+        deps = workflow_dependencies[workflow.name]
+        log.info("dependencies for %s: %s", workflow.name, deps)
+        for id in deps:
+            workflow_id = f"workflow:{id}"
+            table = await load_table_from_storage(f"{id}.parquet")
+            workflow.add_table(workflow_id, table)
+
+    async def write_workflow_stats(
+        workflow: Workflow,
+        workflow_result: WorkflowRunResult,
+        workflow_start_time: float,
+    ) -> None:
+        for vt in workflow_result.verb_timings:
+            stats.workflows[workflow.name][f"{vt.index}_{vt.verb}"] = vt.timing
+
+        workflow_end_time = time.time()
+        stats.workflows[workflow.name]["overall"] = (
+            workflow_end_time - workflow_start_time
+        )
+        stats.total_runtime = time.time() - start_time
+        await dump_stats()
+
+        if workflow_result.memory_profile is not None:
+            await _save_profiler_stats(
+                storage, workflow.name, workflow_result.memory_profile
+            )
+
+        log.debug(
+            "first row of %s => %s", workflow_name, workflow.output().iloc[0].to_json()
+        )
+
+    async def emit_workflow_output(workflow: Workflow) -> pd.DataFrame:
+        output = cast(pd.DataFrame, workflow.output())
+        for emitter in emitters:
+            await emitter.emit(workflow.name, output)
+        return output
+
+    dataset = await _run_post_process_steps(
+        input_post_process_steps, dataset, context, callbacks
+    )
+
+    # Make sure the incoming data is valid
+    _validate_dataset(dataset)
+
+    log.info("Final # of rows loaded: %s", len(dataset))
+    stats.num_documents = len(dataset)
+    last_workflow = "input"
+
+    try:
+        await dump_stats()
+
+        for workflow_to_run in workflows_to_run:
+            # Try to flush out any intermediate dataframes
+            gc.collect()
+
+            workflow = workflow_to_run.workflow
+            workflow_name: str = workflow.name
+            last_workflow = workflow_name
+
+            log.info("Running workflow: %s...", workflow_name)
+
+            if is_resume_run and await storage.has(
+                f"{workflow_to_run.workflow.name}.parquet"
+            ):
+                log.info("Skipping %s because it already exists", workflow_name)
+                continue
+
+            stats.workflows[workflow_name] = {"overall": 0.0}
+            await inject_workflow_data_dependencies(workflow)
+
+            workflow_start_time = time.time()
+            result = await workflow.run(context, callbacks)
+            await write_workflow_stats(workflow, result, workflow_start_time)
+
+            # Save the output from the workflow
+            output = await emit_workflow_output(workflow)
+            yield PipelineRunResult(workflow_name, output, None)
+            output = None
+            workflow.dispose()
+            workflow = None
+
+        stats.total_runtime = time.time() - start_time
+        await dump_stats()
+    except Exception as e:
+        log.exception("error running workflow %s", last_workflow)
+        cast(WorkflowCallbacks, callbacks).on_error(
+            "Error running pipeline!", e, traceback.format_exc()
+        )
+        yield PipelineRunResult(last_workflow, None, [e])
+
+
+def _create_callback_chain(
+    callbacks: WorkflowCallbacks | None, progress: ProgressReporter | None
+) -> WorkflowCallbacks:
+    """Create a callbacks manager."""
+    manager = WorkflowCallbacksManager()
+    if callbacks is not None:
+        manager.register(callbacks)
+    if progress is not None:
+        manager.register(ProgressWorkflowCallbacks(progress))
+    return manager
+
+
+async def _save_profiler_stats(
+    storage: PipelineStorage, workflow_name: str, profile: MemoryProfile
+):
+    """Save the profiler stats to the storage."""
+    await storage.set(
+        f"{workflow_name}_profiling.peak_stats.csv",
+        profile.peak_stats.to_csv(index=True),
+    )
+
+    await storage.set(
+        f"{workflow_name}_profiling.snapshot_stats.csv",
+        profile.snapshot_stats.to_csv(index=True),
+    )
+
+    await storage.set(
+        f"{workflow_name}_profiling.time_stats.csv",
+        profile.time_stats.to_csv(index=True),
+    )
+
+    await storage.set(
+        f"{workflow_name}_profiling.detailed_view.csv",
+        profile.detailed_view.to_csv(index=True),
+    )
+
+
+async def _run_post_process_steps(
+    post_process: list[PipelineWorkflowStep] | None,
+    dataset: pd.DataFrame,
+    context: PipelineRunContext,
+    callbacks: WorkflowCallbacks,
+) -> pd.DataFrame:
+    """Run the pipeline.
+
+    Args:
+        - post_process - The post process steps to run
+        - dataset - The dataset to run the steps on
+        - context - The pipeline run context
+    Returns:
+        - output - The dataset after running the post process steps
+    """
+    if post_process is not None and len(post_process) > 0:
+        input_workflow = create_workflow(
+            "Input Post Process",
+            post_process,
+        )
+        input_workflow.add_table(DEFAULT_INPUT_NAME, dataset)
+        await input_workflow.run(
+            context=context,
+            callbacks=callbacks,
+        )
+        dataset = cast(pd.DataFrame, input_workflow.output())
+    return dataset
+
+
+def _validate_dataset(dataset: pd.DataFrame):
+    """Validate the dataset for the pipeline.
+
+    Args:
+        - dataset - The dataset to validate
+    """
+    if not isinstance(dataset, pd.DataFrame):
+        msg = "Dataset must be a pandas dataframe!"
+        raise TypeError(msg)
+
+
+def _apply_substitutions(config: PipelineConfig, run_id: str) -> PipelineConfig:
+    substitutions = {"timestamp": run_id}
+
+    if (
+        isinstance(
+            config.storage, PipelineFileStorageConfig | PipelineBlobStorageConfig
+        )
+        and config.storage.base_dir
+    ):
+        config.storage.base_dir = Template(config.storage.base_dir).substitute(
+            substitutions
+        )
+    if (
+        isinstance(config.cache, PipelineFileCacheConfig | PipelineBlobCacheConfig)
+        and config.cache.base_dir
+    ):
+        config.cache.base_dir = Template(config.cache.base_dir).substitute(
+            substitutions
+        )
+
+    if (
+        isinstance(
+            config.reporting, PipelineFileReportingConfig | PipelineBlobReportingConfig
+        )
+        and config.reporting.base_dir
+    ):
+        config.reporting.base_dir = Template(config.reporting.base_dir).substitute(
+            substitutions
+        )
+
+    return config
+
+
+def _create_run_context(
+    storage: PipelineStorage,
+    cache: PipelineCache,
+    stats: PipelineRunStats,
+) -> PipelineRunContext:
+    """Create the run context for the pipeline."""
+    return PipelineRunContext(
+        stats=stats,
+        cache=cache,
+        storage=storage,
+    )
diff --git a/graphrag/graphrag/index/storage/__init__.py b/graphrag/graphrag/index/storage/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ca943db52844e1b24775bc40560438188c92e13
--- /dev/null
+++ b/graphrag/graphrag/index/storage/__init__.py
@@ -0,0 +1,19 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine storage package root."""
+
+from .blob_pipeline_storage import BlobPipelineStorage, create_blob_storage
+from .file_pipeline_storage import FilePipelineStorage
+from .load_storage import load_storage
+from .memory_pipeline_storage import MemoryPipelineStorage
+from .typing import PipelineStorage
+
+__all__ = [
+    "BlobPipelineStorage",
+    "FilePipelineStorage",
+    "MemoryPipelineStorage",
+    "PipelineStorage",
+    "create_blob_storage",
+    "load_storage",
+]
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diff --git a/graphrag/graphrag/index/storage/blob_pipeline_storage.py b/graphrag/graphrag/index/storage/blob_pipeline_storage.py
new file mode 100644
index 0000000000000000000000000000000000000000..7e60df9697f73a4be4bd96c8f8e79f1dc3548f1f
--- /dev/null
+++ b/graphrag/graphrag/index/storage/blob_pipeline_storage.py
@@ -0,0 +1,371 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Azure Blob Storage implementation of PipelineStorage."""
+
+import logging
+import re
+from collections.abc import Iterator
+from pathlib import Path
+from typing import Any
+
+from azure.identity import DefaultAzureCredential
+from azure.storage.blob import BlobServiceClient
+from datashaper import Progress
+
+from graphrag.index.progress import ProgressReporter
+
+from .typing import PipelineStorage
+
+log = logging.getLogger(__name__)
+
+
+class BlobPipelineStorage(PipelineStorage):
+    """The Blob-Storage implementation."""
+
+    _connection_string: str | None
+    _container_name: str
+    _path_prefix: str
+    _encoding: str
+    _storage_account_blob_url: str | None
+
+    def __init__(
+        self,
+        connection_string: str | None,
+        container_name: str,
+        encoding: str | None = None,
+        path_prefix: str | None = None,
+        storage_account_blob_url: str | None = None,
+    ):
+        """Create a new BlobStorage instance."""
+        if connection_string:
+            self._blob_service_client = BlobServiceClient.from_connection_string(
+                connection_string
+            )
+        else:
+            if storage_account_blob_url is None:
+                msg = "Either connection_string or storage_account_blob_url must be provided."
+                raise ValueError(msg)
+
+            self._blob_service_client = BlobServiceClient(
+                account_url=storage_account_blob_url,
+                credential=DefaultAzureCredential(),
+            )
+        self._encoding = encoding or "utf-8"
+        self._container_name = container_name
+        self._connection_string = connection_string
+        self._path_prefix = path_prefix or ""
+        self._storage_account_blob_url = storage_account_blob_url
+        self._storage_account_name = (
+            storage_account_blob_url.split("//")[1].split(".")[0]
+            if storage_account_blob_url
+            else None
+        )
+        log.info(
+            "creating blob storage at container=%s, path=%s",
+            self._container_name,
+            self._path_prefix,
+        )
+        self.create_container()
+
+    def create_container(self) -> None:
+        """Create the container if it does not exist."""
+        if not self.container_exists():
+            container_name = self._container_name
+            container_names = [
+                container.name
+                for container in self._blob_service_client.list_containers()
+            ]
+            if container_name not in container_names:
+                self._blob_service_client.create_container(container_name)
+
+    def delete_container(self) -> None:
+        """Delete the container."""
+        if self.container_exists():
+            self._blob_service_client.delete_container(self._container_name)
+
+    def container_exists(self) -> bool:
+        """Check if the container exists."""
+        container_name = self._container_name
+        container_names = [
+            container.name for container in self._blob_service_client.list_containers()
+        ]
+        return container_name in container_names
+
+    def find(
+        self,
+        file_pattern: re.Pattern[str],
+        base_dir: str | None = None,
+        progress: ProgressReporter | None = None,
+        file_filter: dict[str, Any] | None = None,
+        max_count=-1,
+    ) -> Iterator[tuple[str, dict[str, Any]]]:
+        """Find blobs in a container using a file pattern, as well as a custom filter function.
+
+        Params:
+            base_dir: The name of the base container.
+            file_pattern: The file pattern to use.
+            file_filter: A dictionary of key-value pairs to filter the blobs.
+            max_count: The maximum number of blobs to return. If -1, all blobs are returned.
+
+        Returns
+        -------
+                An iterator of blob names and their corresponding regex matches.
+        """
+        base_dir = base_dir or ""
+
+        log.info(
+            "search container %s for files matching %s",
+            self._container_name,
+            file_pattern.pattern,
+        )
+
+        def blobname(blob_name: str) -> str:
+            if blob_name.startswith(self._path_prefix):
+                blob_name = blob_name.replace(self._path_prefix, "", 1)
+            if blob_name.startswith("/"):
+                blob_name = blob_name[1:]
+            return blob_name
+
+        def item_filter(item: dict[str, Any]) -> bool:
+            if file_filter is None:
+                return True
+
+            return all(re.match(value, item[key]) for key, value in file_filter.items())
+
+        try:
+            container_client = self._blob_service_client.get_container_client(
+                self._container_name
+            )
+            all_blobs = list(container_client.list_blobs())
+
+            num_loaded = 0
+            num_total = len(list(all_blobs))
+            num_filtered = 0
+            for blob in all_blobs:
+                match = file_pattern.match(blob.name)
+                if match and blob.name.startswith(base_dir):
+                    group = match.groupdict()
+                    if item_filter(group):
+                        yield (blobname(blob.name), group)
+                        num_loaded += 1
+                        if max_count > 0 and num_loaded >= max_count:
+                            break
+                    else:
+                        num_filtered += 1
+                else:
+                    num_filtered += 1
+                if progress is not None:
+                    progress(
+                        _create_progress_status(num_loaded, num_filtered, num_total)
+                    )
+        except Exception:
+            log.exception(
+                "Error finding blobs: base_dir=%s, file_pattern=%s, file_filter=%s",
+                base_dir,
+                file_pattern,
+                file_filter,
+            )
+            raise
+
+    async def get(
+        self, key: str, as_bytes: bool | None = False, encoding: str | None = None
+    ) -> Any:
+        """Get a value from the cache."""
+        try:
+            key = self._keyname(key)
+            container_client = self._blob_service_client.get_container_client(
+                self._container_name
+            )
+            blob_client = container_client.get_blob_client(key)
+            blob_data = blob_client.download_blob().readall()
+            if not as_bytes:
+                coding = encoding or "utf-8"
+                blob_data = blob_data.decode(coding)
+        except Exception:
+            log.exception("Error getting key %s", key)
+            return None
+        else:
+            return blob_data
+
+    async def set(self, key: str, value: Any, encoding: str | None = None) -> None:
+        """Set a value in the cache."""
+        try:
+            key = self._keyname(key)
+            container_client = self._blob_service_client.get_container_client(
+                self._container_name
+            )
+            blob_client = container_client.get_blob_client(key)
+            if isinstance(value, bytes):
+                blob_client.upload_blob(value, overwrite=True)
+            else:
+                coding = encoding or "utf-8"
+                blob_client.upload_blob(value.encode(coding), overwrite=True)
+        except Exception:
+            log.exception("Error setting key %s: %s", key)
+
+    def set_df_json(self, key: str, dataframe: Any) -> None:
+        """Set a json dataframe."""
+        if self._connection_string is None and self._storage_account_name:
+            dataframe.to_json(
+                self._abfs_url(key),
+                storage_options={
+                    "account_name": self._storage_account_name,
+                    "credential": DefaultAzureCredential(),
+                },
+                orient="records",
+                lines=True,
+                force_ascii=False,
+            )
+        else:
+            dataframe.to_json(
+                self._abfs_url(key),
+                storage_options={"connection_string": self._connection_string},
+                orient="records",
+                lines=True,
+                force_ascii=False,
+            )
+
+    def set_df_parquet(self, key: str, dataframe: Any) -> None:
+        """Set a parquet dataframe."""
+        if self._connection_string is None and self._storage_account_name:
+            dataframe.to_parquet(
+                self._abfs_url(key),
+                storage_options={
+                    "account_name": self._storage_account_name,
+                    "credential": DefaultAzureCredential(),
+                },
+            )
+        else:
+            dataframe.to_parquet(
+                self._abfs_url(key),
+                storage_options={"connection_string": self._connection_string},
+            )
+
+    async def has(self, key: str) -> bool:
+        """Check if a key exists in the cache."""
+        key = self._keyname(key)
+        container_client = self._blob_service_client.get_container_client(
+            self._container_name
+        )
+        blob_client = container_client.get_blob_client(key)
+        return blob_client.exists()
+
+    async def delete(self, key: str) -> None:
+        """Delete a key from the cache."""
+        key = self._keyname(key)
+        container_client = self._blob_service_client.get_container_client(
+            self._container_name
+        )
+        blob_client = container_client.get_blob_client(key)
+        blob_client.delete_blob()
+
+    async def clear(self) -> None:
+        """Clear the cache."""
+
+    def child(self, name: str | None) -> "PipelineStorage":
+        """Create a child storage instance."""
+        if name is None:
+            return self
+        path = str(Path(self._path_prefix) / name)
+        return BlobPipelineStorage(
+            self._connection_string,
+            self._container_name,
+            self._encoding,
+            path,
+            self._storage_account_blob_url,
+        )
+
+    def _keyname(self, key: str) -> str:
+        """Get the key name."""
+        return str(Path(self._path_prefix) / key)
+
+    def _abfs_url(self, key: str) -> str:
+        """Get the ABFS URL."""
+        path = str(Path(self._container_name) / self._path_prefix / key)
+        return f"abfs://{path}"
+
+
+def create_blob_storage(
+    connection_string: str | None,
+    storage_account_blob_url: str | None,
+    container_name: str,
+    base_dir: str | None,
+) -> PipelineStorage:
+    """Create a blob based storage."""
+    log.info("Creating blob storage at %s", container_name)
+    if container_name is None:
+        msg = "No container name provided for blob storage."
+        raise ValueError(msg)
+    if connection_string is None and storage_account_blob_url is None:
+        msg = "No storage account blob url provided for blob storage."
+        raise ValueError(msg)
+    return BlobPipelineStorage(
+        connection_string,
+        container_name,
+        path_prefix=base_dir,
+        storage_account_blob_url=storage_account_blob_url,
+    )
+
+
+def validate_blob_container_name(container_name: str):
+    """
+    Check if the provided blob container name is valid based on Azure rules.
+
+        - A blob container name must be between 3 and 63 characters in length.
+        - Start with a letter or number
+        - All letters used in blob container names must be lowercase.
+        - Contain only letters, numbers, or the hyphen.
+        - Consecutive hyphens are not permitted.
+        - Cannot end with a hyphen.
+
+    Args:
+    -----
+    container_name (str)
+        The blob container name to be validated.
+
+    Returns
+    -------
+        bool: True if valid, False otherwise.
+    """
+    # Check the length of the name
+    if len(container_name) < 3 or len(container_name) > 63:
+        return ValueError(
+            f"Container name must be between 3 and 63 characters in length. Name provided was {len(container_name)} characters long."
+        )
+
+    # Check if the name starts with a letter or number
+    if not container_name[0].isalnum():
+        return ValueError(
+            f"Container name must start with a letter or number. Starting character was {container_name[0]}."
+        )
+
+    # Check for valid characters (letters, numbers, hyphen) and lowercase letters
+    if not re.match("^[a-z0-9-]+$", container_name):
+        return ValueError(
+            f"Container name must only contain:\n- lowercase letters\n- numbers\n- or hyphens\nName provided was {container_name}."
+        )
+
+    # Check for consecutive hyphens
+    if "--" in container_name:
+        return ValueError(
+            f"Container name cannot contain consecutive hyphens. Name provided was {container_name}."
+        )
+
+    # Check for hyphens at the end of the name
+    if container_name[-1] == "-":
+        return ValueError(
+            f"Container name cannot end with a hyphen. Name provided was {container_name}."
+        )
+
+    return True
+
+
+def _create_progress_status(
+    num_loaded: int, num_filtered: int, num_total: int
+) -> Progress:
+    return Progress(
+        total_items=num_total,
+        completed_items=num_loaded + num_filtered,
+        description=f"{num_loaded} files loaded ({num_filtered} filtered)",
+    )
diff --git a/graphrag/graphrag/index/storage/file_pipeline_storage.py b/graphrag/graphrag/index/storage/file_pipeline_storage.py
new file mode 100644
index 0000000000000000000000000000000000000000..3580e1e1a653efe03098ae122b59b9b5573516ad
--- /dev/null
+++ b/graphrag/graphrag/index/storage/file_pipeline_storage.py
@@ -0,0 +1,163 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'FileStorage' and 'FilePipelineStorage' models."""
+
+import logging
+import os
+import re
+import shutil
+from collections.abc import Iterator
+from pathlib import Path
+from typing import Any, cast
+
+import aiofiles
+from aiofiles.os import remove
+from aiofiles.ospath import exists
+from datashaper import Progress
+
+from graphrag.index.progress import ProgressReporter
+
+from .typing import PipelineStorage
+
+log = logging.getLogger(__name__)
+
+
+class FilePipelineStorage(PipelineStorage):
+    """File storage class definition."""
+
+    _root_dir: str
+    _encoding: str
+
+    def __init__(self, root_dir: str | None = None, encoding: str | None = None):
+        """Init method definition."""
+        self._root_dir = root_dir or ""
+        self._encoding = encoding or "utf-8"
+        Path(self._root_dir).mkdir(parents=True, exist_ok=True)
+
+    def find(
+        self,
+        file_pattern: re.Pattern[str],
+        base_dir: str | None = None,
+        progress: ProgressReporter | None = None,
+        file_filter: dict[str, Any] | None = None,
+        max_count=-1,
+    ) -> Iterator[tuple[str, dict[str, Any]]]:
+        """Find files in the storage using a file pattern, as well as a custom filter function."""
+
+        def item_filter(item: dict[str, Any]) -> bool:
+            if file_filter is None:
+                return True
+
+            return all(re.match(value, item[key]) for key, value in file_filter.items())
+
+        search_path = Path(self._root_dir) / (base_dir or "")
+        log.info("search %s for files matching %s", search_path, file_pattern.pattern)
+        all_files = list(search_path.rglob("**/*"))
+        num_loaded = 0
+        num_total = len(all_files)
+        num_filtered = 0
+        for file in all_files:
+            match = file_pattern.match(f"{file}")
+            if match:
+                group = match.groupdict()
+                if item_filter(group):
+                    filename = f"{file}".replace(self._root_dir, "")
+                    if filename.startswith(os.sep):
+                        filename = filename[1:]
+                    yield (filename, group)
+                    num_loaded += 1
+                    if max_count > 0 and num_loaded >= max_count:
+                        break
+                else:
+                    num_filtered += 1
+            else:
+                num_filtered += 1
+            if progress is not None:
+                progress(_create_progress_status(num_loaded, num_filtered, num_total))
+
+    async def get(
+        self, key: str, as_bytes: bool | None = False, encoding: str | None = None
+    ) -> Any:
+        """Get method definition."""
+        file_path = join_path(self._root_dir, key)
+
+        if await self.has(key):
+            return await self._read_file(file_path, as_bytes, encoding)
+        if await exists(key):
+            # Lookup for key, as it is pressumably a new file loaded from inputs
+            # and not yet written to storage
+            return await self._read_file(key, as_bytes, encoding)
+
+        return None
+
+    async def _read_file(
+        self,
+        path: str | Path,
+        as_bytes: bool | None = False,
+        encoding: str | None = None,
+    ) -> Any:
+        """Read the contents of a file."""
+        read_type = "rb" if as_bytes else "r"
+        encoding = None if as_bytes else (encoding or self._encoding)
+
+        async with aiofiles.open(
+            path,
+            cast(Any, read_type),
+            encoding=encoding,
+        ) as f:
+            return await f.read()
+
+    async def set(self, key: str, value: Any, encoding: str | None = None) -> None:
+        """Set method definition."""
+        is_bytes = isinstance(value, bytes)
+        write_type = "wb" if is_bytes else "w"
+        encoding = None if is_bytes else encoding or self._encoding
+        async with aiofiles.open(
+            join_path(self._root_dir, key), cast(Any, write_type), encoding=encoding
+        ) as f:
+            await f.write(value)
+
+    async def has(self, key: str) -> bool:
+        """Has method definition."""
+        return await exists(join_path(self._root_dir, key))
+
+    async def delete(self, key: str) -> None:
+        """Delete method definition."""
+        if await self.has(key):
+            await remove(join_path(self._root_dir, key))
+
+    async def clear(self) -> None:
+        """Clear method definition."""
+        for file in Path(self._root_dir).glob("*"):
+            if file.is_dir():
+                shutil.rmtree(file)
+            else:
+                file.unlink()
+
+    def child(self, name: str | None) -> "PipelineStorage":
+        """Create a child storage instance."""
+        if name is None:
+            return self
+        return FilePipelineStorage(str(Path(self._root_dir) / Path(name)))
+
+
+def join_path(file_path: str, file_name: str) -> Path:
+    """Join a path and a file. Independent of the OS."""
+    return Path(file_path) / Path(file_name).parent / Path(file_name).name
+
+
+def create_file_storage(out_dir: str | None) -> PipelineStorage:
+    """Create a file based storage."""
+    log.info("Creating file storage at %s", out_dir)
+    return FilePipelineStorage(out_dir)
+
+
+def _create_progress_status(
+    num_loaded: int, num_filtered: int, num_total: int
+) -> Progress:
+    return Progress(
+        total_items=num_total,
+        completed_items=num_loaded + num_filtered,
+        description=f"{num_loaded} files loaded ({num_filtered} filtered)",
+    )
diff --git a/graphrag/graphrag/index/storage/load_storage.py b/graphrag/graphrag/index/storage/load_storage.py
new file mode 100644
index 0000000000000000000000000000000000000000..33d61ee97fe1a2b50ff4cbad2ac0b43831ae93d5
--- /dev/null
+++ b/graphrag/graphrag/index/storage/load_storage.py
@@ -0,0 +1,40 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing load_storage method definition."""
+
+from __future__ import annotations
+
+from typing import cast
+
+from graphrag.config import StorageType
+from graphrag.index.config.storage import (
+    PipelineBlobStorageConfig,
+    PipelineFileStorageConfig,
+    PipelineStorageConfig,
+)
+
+from .blob_pipeline_storage import create_blob_storage
+from .file_pipeline_storage import create_file_storage
+from .memory_pipeline_storage import create_memory_storage
+
+
+def load_storage(config: PipelineStorageConfig):
+    """Load the storage for a pipeline."""
+    match config.type:
+        case StorageType.memory:
+            return create_memory_storage()
+        case StorageType.blob:
+            config = cast(PipelineBlobStorageConfig, config)
+            return create_blob_storage(
+                config.connection_string,
+                config.storage_account_blob_url,
+                config.container_name,
+                config.base_dir,
+            )
+        case StorageType.file:
+            config = cast(PipelineFileStorageConfig, config)
+            return create_file_storage(config.base_dir)
+        case _:
+            msg = f"Unknown storage type: {config.type}"
+            raise ValueError(msg)
diff --git a/graphrag/graphrag/index/storage/memory_pipeline_storage.py b/graphrag/graphrag/index/storage/memory_pipeline_storage.py
new file mode 100644
index 0000000000000000000000000000000000000000..2d1382e0af786652c931311a43b26587f3f29058
--- /dev/null
+++ b/graphrag/graphrag/index/storage/memory_pipeline_storage.py
@@ -0,0 +1,79 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'InMemoryStorage' model."""
+
+from typing import Any
+
+from .file_pipeline_storage import FilePipelineStorage
+from .typing import PipelineStorage
+
+
+class MemoryPipelineStorage(FilePipelineStorage):
+    """In memory storage class definition."""
+
+    _storage: dict[str, Any]
+
+    def __init__(self):
+        """Init method definition."""
+        super().__init__(root_dir=".output")
+        self._storage = {}
+
+    async def get(
+        self, key: str, as_bytes: bool | None = None, encoding: str | None = None
+    ) -> Any:
+        """Get the value for the given key.
+
+        Args:
+            - key - The key to get the value for.
+            - as_bytes - Whether or not to return the value as bytes.
+
+        Returns
+        -------
+            - output - The value for the given key.
+        """
+        return self._storage.get(key) or await super().get(key, as_bytes, encoding)
+
+    async def set(
+        self, key: str, value: str | bytes | None, encoding: str | None = None
+    ) -> None:
+        """Set the value for the given key.
+
+        Args:
+            - key - The key to set the value for.
+            - value - The value to set.
+        """
+        self._storage[key] = value
+
+    async def has(self, key: str) -> bool:
+        """Return True if the given key exists in the storage.
+
+        Args:
+            - key - The key to check for.
+
+        Returns
+        -------
+            - output - True if the key exists in the storage, False otherwise.
+        """
+        return key in self._storage or await super().has(key)
+
+    async def delete(self, key: str) -> None:
+        """Delete the given key from the storage.
+
+        Args:
+            - key - The key to delete.
+        """
+        del self._storage[key]
+
+    async def clear(self) -> None:
+        """Clear the storage."""
+        self._storage.clear()
+
+    def child(self, name: str | None) -> "PipelineStorage":
+        """Create a child storage instance."""
+        return self
+
+
+def create_memory_storage() -> PipelineStorage:
+    """Create memory storage."""
+    return MemoryPipelineStorage()
diff --git a/graphrag/graphrag/index/storage/typing.py b/graphrag/graphrag/index/storage/typing.py
new file mode 100644
index 0000000000000000000000000000000000000000..595baf4efdef91923ec760ae8edeaa632cb8dc3b
--- /dev/null
+++ b/graphrag/graphrag/index/storage/typing.py
@@ -0,0 +1,80 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'PipelineStorage' model."""
+
+import re
+from abc import ABCMeta, abstractmethod
+from collections.abc import Iterator
+from typing import Any
+
+from graphrag.index.progress import ProgressReporter
+
+
+class PipelineStorage(metaclass=ABCMeta):
+    """Provide a storage interface for the pipeline. This is where the pipeline will store its output data."""
+
+    @abstractmethod
+    def find(
+        self,
+        file_pattern: re.Pattern[str],
+        base_dir: str | None = None,
+        progress: ProgressReporter | None = None,
+        file_filter: dict[str, Any] | None = None,
+        max_count=-1,
+    ) -> Iterator[tuple[str, dict[str, Any]]]:
+        """Find files in the storage using a file pattern, as well as a custom filter function."""
+
+    @abstractmethod
+    async def get(
+        self, key: str, as_bytes: bool | None = None, encoding: str | None = None
+    ) -> Any:
+        """Get the value for the given key.
+
+        Args:
+            - key - The key to get the value for.
+            - as_bytes - Whether or not to return the value as bytes.
+
+        Returns
+        -------
+            - output - The value for the given key.
+        """
+
+    @abstractmethod
+    async def set(
+        self, key: str, value: str | bytes | None, encoding: str | None = None
+    ) -> None:
+        """Set the value for the given key.
+
+        Args:
+            - key - The key to set the value for.
+            - value - The value to set.
+        """
+
+    @abstractmethod
+    async def has(self, key: str) -> bool:
+        """Return True if the given key exists in the storage.
+
+        Args:
+            - key - The key to check for.
+
+        Returns
+        -------
+            - output - True if the key exists in the storage, False otherwise.
+        """
+
+    @abstractmethod
+    async def delete(self, key: str) -> None:
+        """Delete the given key from the storage.
+
+        Args:
+            - key - The key to delete.
+        """
+
+    @abstractmethod
+    async def clear(self) -> None:
+        """Clear the storage."""
+
+    @abstractmethod
+    def child(self, name: str | None) -> "PipelineStorage":
+        """Create a child storage instance."""
diff --git a/graphrag/graphrag/index/text_splitting/__init__.py b/graphrag/graphrag/index/text_splitting/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..4653adb22b433f90b25077b31c2cd1f30ba69165
--- /dev/null
+++ b/graphrag/graphrag/index/text_splitting/__init__.py
@@ -0,0 +1,34 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine Text Splitting package root."""
+
+from .check_token_limit import check_token_limit
+from .text_splitting import (
+    DecodeFn,
+    EncodedText,
+    EncodeFn,
+    LengthFn,
+    NoopTextSplitter,
+    TextListSplitter,
+    TextListSplitterType,
+    TextSplitter,
+    Tokenizer,
+    TokenTextSplitter,
+    split_text_on_tokens,
+)
+
+__all__ = [
+    "DecodeFn",
+    "EncodeFn",
+    "EncodedText",
+    "LengthFn",
+    "NoopTextSplitter",
+    "TextListSplitter",
+    "TextListSplitterType",
+    "TextSplitter",
+    "TokenTextSplitter",
+    "Tokenizer",
+    "check_token_limit",
+    "split_text_on_tokens",
+]
diff --git a/graphrag/graphrag/index/text_splitting/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/index/text_splitting/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/index/text_splitting/check_token_limit.py b/graphrag/graphrag/index/text_splitting/check_token_limit.py
new file mode 100644
index 0000000000000000000000000000000000000000..1a5f862254ac55a9364b39ef54562598f9771f6c
--- /dev/null
+++ b/graphrag/graphrag/index/text_splitting/check_token_limit.py
@@ -0,0 +1,15 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Token limit method definition."""
+
+from .text_splitting import TokenTextSplitter
+
+
+def check_token_limit(text, max_token):
+    """Check token limit."""
+    text_splitter = TokenTextSplitter(chunk_size=max_token, chunk_overlap=0)
+    docs = text_splitter.split_text(text)
+    if len(docs) > 1:
+        return 0
+    return 1
diff --git a/graphrag/graphrag/index/text_splitting/text_splitting.py b/graphrag/graphrag/index/text_splitting/text_splitting.py
new file mode 100644
index 0000000000000000000000000000000000000000..0badc8977c20f6ea7b6cbfdf9a7f716ae121f6c5
--- /dev/null
+++ b/graphrag/graphrag/index/text_splitting/text_splitting.py
@@ -0,0 +1,244 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing the 'Tokenizer', 'TextSplitter', 'NoopTextSplitter' and 'TokenTextSplitter' models."""
+
+import json
+import logging
+from abc import ABC, abstractmethod
+from collections.abc import Callable, Collection, Iterable
+from dataclasses import dataclass
+from enum import Enum
+from typing import Any, Literal, cast
+
+import pandas as pd
+import tiktoken
+
+from graphrag.index.utils import num_tokens_from_string
+
+EncodedText = list[int]
+DecodeFn = Callable[[EncodedText], str]
+EncodeFn = Callable[[str], EncodedText]
+LengthFn = Callable[[str], int]
+
+log = logging.getLogger(__name__)
+
+
+@dataclass(frozen=True)
+class Tokenizer:
+    """Tokenizer data class."""
+
+    chunk_overlap: int
+    """Overlap in tokens between chunks"""
+    tokens_per_chunk: int
+    """Maximum number of tokens per chunk"""
+    decode: DecodeFn
+    """ Function to decode a list of token ids to a string"""
+    encode: EncodeFn
+    """ Function to encode a string to a list of token ids"""
+
+
+class TextSplitter(ABC):
+    """Text splitter class definition."""
+
+    _chunk_size: int
+    _chunk_overlap: int
+    _length_function: LengthFn
+    _keep_separator: bool
+    _add_start_index: bool
+    _strip_whitespace: bool
+
+    def __init__(
+        self,
+        # based on text-ada-002-embedding max input buffer length
+        # https://platform.openai.com/docs/guides/embeddings/second-generation-models
+        chunk_size: int = 8191,
+        chunk_overlap: int = 100,
+        length_function: LengthFn = len,
+        keep_separator: bool = False,
+        add_start_index: bool = False,
+        strip_whitespace: bool = True,
+    ):
+        """Init method definition."""
+        self._chunk_size = chunk_size
+        self._chunk_overlap = chunk_overlap
+        self._length_function = length_function
+        self._keep_separator = keep_separator
+        self._add_start_index = add_start_index
+        self._strip_whitespace = strip_whitespace
+
+    @abstractmethod
+    def split_text(self, text: str | list[str]) -> Iterable[str]:
+        """Split text method definition."""
+
+
+class NoopTextSplitter(TextSplitter):
+    """Noop text splitter class definition."""
+
+    def split_text(self, text: str | list[str]) -> Iterable[str]:
+        """Split text method definition."""
+        return [text] if isinstance(text, str) else text
+
+
+class TokenTextSplitter(TextSplitter):
+    """Token text splitter class definition."""
+
+    _allowed_special: Literal["all"] | set[str]
+    _disallowed_special: Literal["all"] | Collection[str]
+
+    def __init__(
+        self,
+        encoding_name: str = "cl100k_base",
+        model_name: str | None = None,
+        allowed_special: Literal["all"] | set[str] | None = None,
+        disallowed_special: Literal["all"] | Collection[str] = "all",
+        **kwargs: Any,
+    ):
+        """Init method definition."""
+        super().__init__(**kwargs)
+        if model_name is not None:
+            try:
+                enc = tiktoken.encoding_for_model(model_name)
+            except KeyError:
+                log.exception("Model %s not found, using %s", model_name, encoding_name)
+                enc = tiktoken.get_encoding(encoding_name)
+        else:
+            enc = tiktoken.get_encoding(encoding_name)
+        self._tokenizer = enc
+        self._allowed_special = allowed_special or set()
+        self._disallowed_special = disallowed_special
+
+    def encode(self, text: str) -> list[int]:
+        """Encode the given text into an int-vector."""
+        return self._tokenizer.encode(
+            text,
+            allowed_special=self._allowed_special,
+            disallowed_special=self._disallowed_special,
+        )
+
+    def num_tokens(self, text: str) -> int:
+        """Return the number of tokens in a string."""
+        return len(self.encode(text))
+
+    def split_text(self, text: str | list[str]) -> list[str]:
+        """Split text method."""
+        if cast(bool, pd.isna(text)) or text == "":
+            return []
+        if isinstance(text, list):
+            text = " ".join(text)
+        if not isinstance(text, str):
+            msg = f"Attempting to split a non-string value, actual is {type(text)}"
+            raise TypeError(msg)
+
+        tokenizer = Tokenizer(
+            chunk_overlap=self._chunk_overlap,
+            tokens_per_chunk=self._chunk_size,
+            decode=self._tokenizer.decode,
+            encode=lambda text: self.encode(text),
+        )
+
+        return split_text_on_tokens(text=text, tokenizer=tokenizer)
+
+
+class TextListSplitterType(str, Enum):
+    """Enum for the type of the TextListSplitter."""
+
+    DELIMITED_STRING = "delimited_string"
+    JSON = "json"
+
+
+class TextListSplitter(TextSplitter):
+    """Text list splitter class definition."""
+
+    def __init__(
+        self,
+        chunk_size: int,
+        splitter_type: TextListSplitterType = TextListSplitterType.JSON,
+        input_delimiter: str | None = None,
+        output_delimiter: str | None = None,
+        model_name: str | None = None,
+        encoding_name: str | None = None,
+    ):
+        """Initialize the TextListSplitter with a chunk size."""
+        # Set the chunk overlap to 0 as we use full strings
+        super().__init__(chunk_size, chunk_overlap=0)
+        self._type = splitter_type
+        self._input_delimiter = input_delimiter
+        self._output_delimiter = output_delimiter or "\n"
+        self._length_function = lambda x: num_tokens_from_string(
+            x, model=model_name, encoding_name=encoding_name
+        )
+
+    def split_text(self, text: str | list[str]) -> Iterable[str]:
+        """Split a string list into a list of strings for a given chunk size."""
+        if not text:
+            return []
+
+        result: list[str] = []
+        current_chunk: list[str] = []
+
+        # Add the brackets
+        current_length: int = self._length_function("[]")
+
+        # Input should be a string list joined by a delimiter
+        string_list = self._load_text_list(text)
+
+        if len(string_list) == 1:
+            return string_list
+
+        for item in string_list:
+            # Count the length of the item and add comma
+            item_length = self._length_function(f"{item},")
+
+            if current_length + item_length > self._chunk_size:
+                if current_chunk and len(current_chunk) > 0:
+                    # Add the current chunk to the result
+                    self._append_to_result(result, current_chunk)
+
+                    # Start a new chunk
+                    current_chunk = [item]
+                    # Add 2 for the brackets
+                    current_length = item_length
+            else:
+                # Add the item to the current chunk
+                current_chunk.append(item)
+                # Add 1 for the comma
+                current_length += item_length
+
+        # Add the last chunk to the result
+        self._append_to_result(result, current_chunk)
+
+        return result
+
+    def _load_text_list(self, text: str | list[str]):
+        """Load the text list based on the type."""
+        if isinstance(text, list):
+            string_list = text
+        elif self._type == TextListSplitterType.JSON:
+            string_list = json.loads(text)
+        else:
+            string_list = text.split(self._input_delimiter)
+        return string_list
+
+    def _append_to_result(self, chunk_list: list[str], new_chunk: list[str]):
+        """Append the current chunk to the result."""
+        if new_chunk and len(new_chunk) > 0:
+            if self._type == TextListSplitterType.JSON:
+                chunk_list.append(json.dumps(new_chunk))
+            else:
+                chunk_list.append(self._output_delimiter.join(new_chunk))
+
+
+def split_text_on_tokens(*, text: str, tokenizer: Tokenizer) -> list[str]:
+    """Split incoming text and return chunks using tokenizer."""
+    splits: list[str] = []
+    input_ids = tokenizer.encode(text)
+    start_idx = 0
+    cur_idx = min(start_idx + tokenizer.tokens_per_chunk, len(input_ids))
+    chunk_ids = input_ids[start_idx:cur_idx]
+    while start_idx < len(input_ids):
+        splits.append(tokenizer.decode(chunk_ids))
+        start_idx += tokenizer.tokens_per_chunk - tokenizer.chunk_overlap
+        cur_idx = min(start_idx + tokenizer.tokens_per_chunk, len(input_ids))
+        chunk_ids = input_ids[start_idx:cur_idx]
+    return splits
diff --git a/graphrag/graphrag/index/typing.py b/graphrag/graphrag/index/typing.py
new file mode 100644
index 0000000000000000000000000000000000000000..ed1d7e93e71a762dfd3717b9fa90e0299c9a4a5a
--- /dev/null
+++ b/graphrag/graphrag/index/typing.py
@@ -0,0 +1,20 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing the 'PipelineRunResult' model."""
+
+from collections.abc import Callable
+from dataclasses import dataclass
+
+import pandas as pd
+
+ErrorHandlerFn = Callable[[BaseException | None, str | None, dict | None], None]
+
+
+@dataclass
+class PipelineRunResult:
+    """Pipeline run result class definition."""
+
+    workflow: str
+    result: pd.DataFrame | None
+    errors: list[BaseException] | None
diff --git a/graphrag/graphrag/index/utils/__init__.py b/graphrag/graphrag/index/utils/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..3a8b1c00278fdc6b56080f2813ab10b228f0f955
--- /dev/null
+++ b/graphrag/graphrag/index/utils/__init__.py
@@ -0,0 +1,27 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Utils methods definition."""
+
+from .dicts import dict_has_keys_with_types
+from .hashing import gen_md5_hash
+from .is_null import is_null
+from .json import clean_up_json
+from .load_graph import load_graph
+from .string import clean_str
+from .tokens import num_tokens_from_string, string_from_tokens
+from .topological_sort import topological_sort
+from .uuid import gen_uuid
+
+__all__ = [
+    "clean_str",
+    "clean_up_json",
+    "dict_has_keys_with_types",
+    "gen_md5_hash",
+    "gen_uuid",
+    "is_null",
+    "load_graph",
+    "num_tokens_from_string",
+    "string_from_tokens",
+    "topological_sort",
+]
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diff --git a/graphrag/graphrag/index/utils/dataframes.py b/graphrag/graphrag/index/utils/dataframes.py
new file mode 100644
index 0000000000000000000000000000000000000000..ea65d71d7ac4d0b25e384220a63aaa702b782a19
--- /dev/null
+++ b/graphrag/graphrag/index/utils/dataframes.py
@@ -0,0 +1,61 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing DataFrame utilities."""
+
+from collections.abc import Callable
+from typing import Any, cast
+
+import pandas as pd
+from pandas._typing import MergeHow
+
+
+def drop_columns(df: pd.DataFrame, *column: str) -> pd.DataFrame:
+    """Drop columns from a dataframe."""
+    return df.drop(list(column), axis=1)
+
+
+def where_column_equals(df: pd.DataFrame, column: str, value: Any) -> pd.DataFrame:
+    """Return a filtered DataFrame where a column equals a value."""
+    return cast(pd.DataFrame, df[df[column] == value])
+
+
+def antijoin(df: pd.DataFrame, exclude: pd.DataFrame, column: str) -> pd.DataFrame:
+    """Return an anti-joined dataframe.
+
+    Arguments:
+    * df: The DataFrame to apply the exclusion to
+    * exclude: The DataFrame containing rows to remove.
+    * column: The join-on column.
+    """
+    result = df.merge(
+        exclude[[column]],
+        on=column,
+        how="outer",
+        indicator=True,
+    )
+    if "_merge" in result.columns:
+        result = result[result["_merge"] == "left_only"].drop("_merge", axis=1)
+    return cast(pd.DataFrame, result)
+
+
+def transform_series(series: pd.Series, fn: Callable[[Any], Any]) -> pd.Series:
+    """Apply a transformation function to a series."""
+    return cast(pd.Series, series.apply(fn))
+
+
+def join(
+    left: pd.DataFrame, right: pd.DataFrame, key: str, strategy: MergeHow = "left"
+) -> pd.DataFrame:
+    """Perform a table join."""
+    return left.merge(right, on=key, how=strategy)
+
+
+def union(*frames: pd.DataFrame) -> pd.DataFrame:
+    """Perform a union operation on the given set of dataframes."""
+    return pd.concat(list(frames))
+
+
+def select(df: pd.DataFrame, *columns: str) -> pd.DataFrame:
+    """Select columns from a dataframe."""
+    return cast(pd.DataFrame, df[list(columns)])
diff --git a/graphrag/graphrag/index/utils/dicts.py b/graphrag/graphrag/index/utils/dicts.py
new file mode 100644
index 0000000000000000000000000000000000000000..4d3662e0b86d6f9049ebda58270e48219e6253a2
--- /dev/null
+++ b/graphrag/graphrag/index/utils/dicts.py
@@ -0,0 +1,18 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A utility module containing methods for inspecting and verifying dictionary types."""
+
+
+def dict_has_keys_with_types(
+    data: dict, expected_fields: list[tuple[str, type]]
+) -> bool:
+    """Return True if the given dictionary has the given keys with the given types."""
+    for field, field_type in expected_fields:
+        if field not in data:
+            return False
+
+        value = data[field]
+        if not isinstance(value, field_type):
+            return False
+    return True
diff --git a/graphrag/graphrag/index/utils/ds_util.py b/graphrag/graphrag/index/utils/ds_util.py
new file mode 100644
index 0000000000000000000000000000000000000000..d65c69e4a8c573ddec3b93da668413bae7395998
--- /dev/null
+++ b/graphrag/graphrag/index/utils/ds_util.py
@@ -0,0 +1,32 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A utility module datashaper-specific utility methods."""
+
+from typing import cast
+
+from datashaper import TableContainer, VerbInput
+
+_NAMED_INPUTS_REQUIRED = "Named inputs are required"
+
+
+def get_required_input_table(input: VerbInput, name: str) -> TableContainer:
+    """Get a required input table by name."""
+    return cast(TableContainer, get_named_input_table(input, name, required=True))
+
+
+def get_named_input_table(
+    input: VerbInput, name: str, required: bool = False
+) -> TableContainer | None:
+    """Get an input table from datashaper verb-inputs by name."""
+    named_inputs = input.named
+    if named_inputs is None:
+        if not required:
+            return None
+        raise ValueError(_NAMED_INPUTS_REQUIRED)
+
+    result = named_inputs.get(name)
+    if result is None and required:
+        msg = f"input '${name}' is required"
+        raise ValueError(msg)
+    return result
diff --git a/graphrag/graphrag/index/utils/hashing.py b/graphrag/graphrag/index/utils/hashing.py
new file mode 100644
index 0000000000000000000000000000000000000000..342ae99d4419b8947d383d561bb434d39af5ce0e
--- /dev/null
+++ b/graphrag/graphrag/index/utils/hashing.py
@@ -0,0 +1,14 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Hashing utilities."""
+
+from collections.abc import Iterable
+from hashlib import md5
+from typing import Any
+
+
+def gen_md5_hash(item: dict[str, Any], hashcode: Iterable[str]):
+    """Generate an md5 hash."""
+    hashed = "".join([str(item[column]) for column in hashcode])
+    return f"{md5(hashed.encode('utf-8'), usedforsecurity=False).hexdigest()}"
diff --git a/graphrag/graphrag/index/utils/is_null.py b/graphrag/graphrag/index/utils/is_null.py
new file mode 100644
index 0000000000000000000000000000000000000000..f5df1955ae95c2f1b17b29a7692d2a2ebdd525f5
--- /dev/null
+++ b/graphrag/graphrag/index/utils/is_null.py
@@ -0,0 +1,19 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Defines the is_null utility."""
+
+import math
+from typing import Any
+
+
+def is_null(value: Any) -> bool:
+    """Check if value is null or is nan."""
+
+    def is_none() -> bool:
+        return value is None
+
+    def is_nan() -> bool:
+        return isinstance(value, float) and math.isnan(value)
+
+    return is_none() or is_nan()
diff --git a/graphrag/graphrag/index/utils/json.py b/graphrag/graphrag/index/utils/json.py
new file mode 100644
index 0000000000000000000000000000000000000000..ed6c06665d0ccc7a35b1e440be31788e9183f6b8
--- /dev/null
+++ b/graphrag/graphrag/index/utils/json.py
@@ -0,0 +1,27 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""JSON cleaning and formatting utilities."""
+
+
+def clean_up_json(json_str: str):
+    """Clean up json string."""
+    json_str = (
+        json_str.replace("\\n", "")
+        .replace("\n", "")
+        .replace("\r", "")
+        .replace('"[{', "[{")
+        .replace('}]"', "}]")
+        .replace("\\", "")
+        .strip()
+    )
+
+    # Remove JSON Markdown Frame
+    if json_str.startswith("```json"):
+        json_str = json_str[len("```json") :]
+    if json_str.startswith("json"):
+        json_str = json_str[len("json") :]
+    if json_str.endswith("```"):
+        json_str = json_str[: len(json_str) - len("```")]
+
+    return json_str
diff --git a/graphrag/graphrag/index/utils/load_graph.py b/graphrag/graphrag/index/utils/load_graph.py
new file mode 100644
index 0000000000000000000000000000000000000000..57992a04c83997a4950d3f743a35600521a11423
--- /dev/null
+++ b/graphrag/graphrag/index/utils/load_graph.py
@@ -0,0 +1,11 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Networkx load_graph utility definition."""
+
+import networkx as nx
+
+
+def load_graph(graphml: str | nx.Graph) -> nx.Graph:
+    """Load a graph from a graphml file or a networkx graph."""
+    return nx.parse_graphml(graphml) if isinstance(graphml, str) else graphml
diff --git a/graphrag/graphrag/index/utils/rate_limiter.py b/graphrag/graphrag/index/utils/rate_limiter.py
new file mode 100644
index 0000000000000000000000000000000000000000..8dc641719b61fa087703f258ab1287631502efaa
--- /dev/null
+++ b/graphrag/graphrag/index/utils/rate_limiter.py
@@ -0,0 +1,40 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Rate limiter utility."""
+
+import asyncio
+import time
+
+
+class RateLimiter:
+    """
+    The original TpmRpmLLMLimiter strategy did not account for minute-based rate limiting when scheduled.
+
+    The RateLimiter was introduced to ensure that the CommunityReportsExtractor could be scheduled to adhere to rate configurations on a per-minute basis.
+    """
+
+    # TODO: RateLimiter scheduled: using asyncio for async_mode
+
+    def __init__(self, rate: int, per: int):
+        self.rate = rate
+        self.per = per
+        self.allowance = rate
+        self.last_check = time.monotonic()
+
+    async def acquire(self):
+        """Acquire a token from the rate limiter."""
+        current = time.monotonic()
+        elapsed = current - self.last_check
+        self.last_check = current
+        self.allowance += elapsed * (self.rate / self.per)
+
+        if self.allowance > self.rate:
+            self.allowance = self.rate
+
+        if self.allowance < 1.0:
+            sleep_time = (1.0 - self.allowance) * (self.per / self.rate)
+            await asyncio.sleep(sleep_time)
+            self.allowance = 0.0
+        else:
+            self.allowance -= 1.0
diff --git a/graphrag/graphrag/index/utils/string.py b/graphrag/graphrag/index/utils/string.py
new file mode 100644
index 0000000000000000000000000000000000000000..7e1654bb4e48bcc2354c21c62a5ce2f12cf42925
--- /dev/null
+++ b/graphrag/graphrag/index/utils/string.py
@@ -0,0 +1,19 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""String utilities."""
+
+import html
+import re
+from typing import Any
+
+
+def clean_str(input: Any) -> str:
+    """Clean an input string by removing HTML escapes, control characters, and other unwanted characters."""
+    # If we get non-string input, just give it back
+    if not isinstance(input, str):
+        return input
+
+    result = html.unescape(input.strip())
+    # https://stackoverflow.com/questions/4324790/removing-control-characters-from-a-string-in-python
+    return re.sub(r"[\x00-\x1f\x7f-\x9f]", "", result)
diff --git a/graphrag/graphrag/index/utils/tokens.py b/graphrag/graphrag/index/utils/tokens.py
new file mode 100644
index 0000000000000000000000000000000000000000..4a189b9b225faf0d4db6981b81352ad3f9632936
--- /dev/null
+++ b/graphrag/graphrag/index/utils/tokens.py
@@ -0,0 +1,41 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Utilities for working with tokens."""
+
+import logging
+
+import tiktoken
+
+DEFAULT_ENCODING_NAME = "cl100k_base"
+log = logging.getLogger(__name__)
+
+
+def num_tokens_from_string(
+    string: str, model: str | None = None, encoding_name: str | None = None
+) -> int:
+    """Return the number of tokens in a text string."""
+    if model is not None:
+        try:
+            encoding = tiktoken.encoding_for_model(model)
+        except KeyError:
+            msg = f"Failed to get encoding for {model} when getting num_tokens_from_string. Fall back to default encoding {DEFAULT_ENCODING_NAME}"
+            log.warning(msg)
+            encoding = tiktoken.get_encoding(DEFAULT_ENCODING_NAME)
+    else:
+        encoding = tiktoken.get_encoding(encoding_name or DEFAULT_ENCODING_NAME)
+    return len(encoding.encode(string))
+
+
+def string_from_tokens(
+    tokens: list[int], model: str | None = None, encoding_name: str | None = None
+) -> str:
+    """Return a text string from a list of tokens."""
+    if model is not None:
+        encoding = tiktoken.encoding_for_model(model)
+    elif encoding_name is not None:
+        encoding = tiktoken.get_encoding(encoding_name)
+    else:
+        msg = "Either model or encoding_name must be specified."
+        raise ValueError(msg)
+    return encoding.decode(tokens)
diff --git a/graphrag/graphrag/index/utils/topological_sort.py b/graphrag/graphrag/index/utils/topological_sort.py
new file mode 100644
index 0000000000000000000000000000000000000000..a19b464559466b9824eacf1d36534f2eea157875
--- /dev/null
+++ b/graphrag/graphrag/index/utils/topological_sort.py
@@ -0,0 +1,12 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Topological sort utility method."""
+
+from graphlib import TopologicalSorter
+
+
+def topological_sort(graph: dict[str, list[str]]) -> list[str]:
+    """Topological sort."""
+    ts = TopologicalSorter(graph)
+    return list(ts.static_order())
diff --git a/graphrag/graphrag/index/utils/uuid.py b/graphrag/graphrag/index/utils/uuid.py
new file mode 100644
index 0000000000000000000000000000000000000000..0671fb09dac38560a522d79c684f104174b1febb
--- /dev/null
+++ b/graphrag/graphrag/index/utils/uuid.py
@@ -0,0 +1,14 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""UUID utilities."""
+
+import uuid
+from random import Random, getrandbits
+
+
+def gen_uuid(rd: Random | None = None):
+    """Generate a random UUID v4."""
+    return uuid.UUID(
+        int=rd.getrandbits(128) if rd is not None else getrandbits(128), version=4
+    ).hex
diff --git a/graphrag/graphrag/index/verbs/__init__.py b/graphrag/graphrag/index/verbs/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..379c2a3749b4ce51b3077b10844bb2620fcb6a60
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/__init__.py
@@ -0,0 +1,50 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing get_default_verbs method definition."""
+
+from .covariates import extract_covariates
+from .entities import entity_extract, summarize_descriptions
+from .genid import genid
+from .graph import (
+    cluster_graph,
+    create_community_reports,
+    create_graph,
+    embed_graph,
+    layout_graph,
+    merge_graphs,
+    unpack_graph,
+)
+from .overrides import aggregate, concat, merge
+from .snapshot import snapshot
+from .snapshot_rows import snapshot_rows
+from .spread_json import spread_json
+from .text import chunk, text_embed, text_split, text_translate
+from .unzip import unzip
+from .zip import zip_verb
+
+__all__ = [
+    "aggregate",
+    "chunk",
+    "cluster_graph",
+    "concat",
+    "create_community_reports",
+    "create_graph",
+    "embed_graph",
+    "entity_extract",
+    "extract_covariates",
+    "genid",
+    "layout_graph",
+    "merge",
+    "merge_graphs",
+    "snapshot",
+    "snapshot_rows",
+    "spread_json",
+    "summarize_descriptions",
+    "text_embed",
+    "text_split",
+    "text_translate",
+    "unpack_graph",
+    "unzip",
+    "zip_verb",
+]
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diff --git a/graphrag/graphrag/index/verbs/covariates/__init__.py b/graphrag/graphrag/index/verbs/covariates/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..cdebee228be80b4bf40f3e463f58d3d936c2684e
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/covariates/__init__.py
@@ -0,0 +1,8 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine covariates package root."""
+
+from .extract_covariates import extract_covariates
+
+__all__ = ["extract_covariates"]
diff --git a/graphrag/graphrag/index/verbs/covariates/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/index/verbs/covariates/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/index/verbs/covariates/extract_covariates/__init__.py b/graphrag/graphrag/index/verbs/covariates/extract_covariates/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..53d357bb462f326ea54ee62d88d529ef6ff1461c
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/covariates/extract_covariates/__init__.py
@@ -0,0 +1,8 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine text extract claims package root."""
+
+from .extract_covariates import ExtractClaimsStrategyType, extract_covariates
+
+__all__ = ["ExtractClaimsStrategyType", "extract_covariates"]
diff --git a/graphrag/graphrag/index/verbs/covariates/extract_covariates/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/index/verbs/covariates/extract_covariates/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/index/verbs/covariates/extract_covariates/extract_covariates.py b/graphrag/graphrag/index/verbs/covariates/extract_covariates/extract_covariates.py
new file mode 100644
index 0000000000000000000000000000000000000000..a67cb0fa0e93638f1577405fab166de55e00b466
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/covariates/extract_covariates/extract_covariates.py
@@ -0,0 +1,110 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing the extract_covariates verb definition."""
+
+import logging
+from dataclasses import asdict
+from enum import Enum
+from typing import Any, cast
+
+import pandas as pd
+from datashaper import (
+    AsyncType,
+    TableContainer,
+    VerbCallbacks,
+    VerbInput,
+    derive_from_rows,
+    verb,
+)
+
+from graphrag.index.cache import PipelineCache
+from graphrag.index.verbs.covariates.typing import Covariate, CovariateExtractStrategy
+
+log = logging.getLogger(__name__)
+
+
+class ExtractClaimsStrategyType(str, Enum):
+    """ExtractClaimsStrategyType class definition."""
+
+    graph_intelligence = "graph_intelligence"
+
+    def __repr__(self):
+        """Get a string representation."""
+        return f'"{self.value}"'
+
+
+DEFAULT_ENTITY_TYPES = ["organization", "person", "geo", "event"]
+
+
+@verb(name="extract_covariates")
+async def extract_covariates(
+    input: VerbInput,
+    cache: PipelineCache,
+    callbacks: VerbCallbacks,
+    column: str,
+    covariate_type: str,
+    strategy: dict[str, Any] | None,
+    async_mode: AsyncType = AsyncType.AsyncIO,
+    entity_types: list[str] | None = None,
+    **kwargs,
+) -> TableContainer:
+    """
+    Extract claims from a piece of text.
+
+    ## Usage
+    TODO
+    """
+    log.debug("extract_covariates strategy=%s", strategy)
+    if entity_types is None:
+        entity_types = DEFAULT_ENTITY_TYPES
+    output = cast(pd.DataFrame, input.get_input())
+
+    resolved_entities_map = {}
+
+    strategy = strategy or {}
+    strategy_exec = load_strategy(
+        strategy.get("type", ExtractClaimsStrategyType.graph_intelligence)
+    )
+    strategy_config = {**strategy}
+
+    async def run_strategy(row):
+        text = row[column]
+        result = await strategy_exec(
+            text, entity_types, resolved_entities_map, callbacks, cache, strategy_config
+        )
+        return [
+            create_row_from_claim_data(row, item, covariate_type)
+            for item in result.covariate_data
+        ]
+
+    results = await derive_from_rows(
+        output,
+        run_strategy,
+        callbacks,
+        scheduling_type=async_mode,
+        num_threads=kwargs.get("num_threads", 4),
+    )
+    output = pd.DataFrame([item for row in results for item in row or []])
+    return TableContainer(table=output)
+
+
+def load_strategy(strategy_type: ExtractClaimsStrategyType) -> CovariateExtractStrategy:
+    """Load strategy method definition."""
+    match strategy_type:
+        case ExtractClaimsStrategyType.graph_intelligence:
+            from .strategies.graph_intelligence import run as run_gi
+
+            return run_gi
+        case _:
+            msg = f"Unknown strategy: {strategy_type}"
+            raise ValueError(msg)
+
+
+def create_row_from_claim_data(row, covariate_data: Covariate, covariate_type: str):
+    """Create a row from the claim data and the input row."""
+    item = {**row, **asdict(covariate_data), "covariate_type": covariate_type}
+    # TODO: doc_id from extraction isn't necessary
+    # since chunking happens before this
+    del item["doc_id"]
+    return item
diff --git a/graphrag/graphrag/index/verbs/covariates/extract_covariates/strategies/__init__.py b/graphrag/graphrag/index/verbs/covariates/extract_covariates/strategies/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..605c66f8d1297453cac922dafa1b430d0f075b04
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/covariates/extract_covariates/strategies/__init__.py
@@ -0,0 +1,4 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine text extract claims strategies package root."""
diff --git a/graphrag/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/__init__.py b/graphrag/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..ab01f06fc44fecdf8253978a00baada788bc638b
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/__init__.py
@@ -0,0 +1,8 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine text extract claims strategies graph intelligence package root."""
+
+from .run_gi_extract_claims import run
+
+__all__ = ["run"]
diff --git a/graphrag/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/defaults.py b/graphrag/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/defaults.py
new file mode 100644
index 0000000000000000000000000000000000000000..846bfa81e0d32ed934eb0318b0e052826b94a4e4
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/defaults.py
@@ -0,0 +1,21 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A file containing MOCK_LLM_RESPONSES definition."""
+
+MOCK_LLM_RESPONSES = [
+    """
+[
+    {
+        "subject": "COMPANY A",
+        "object": "GOVERNMENT AGENCY B",
+        "type": "ANTI-COMPETITIVE PRACTICES",
+        "status": "TRUE",
+        "start_date": "2022-01-10T00:00:00",
+        "end_date": "2022-01-10T00:00:00",
+        "description": "Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10",
+        "source_text": ["According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B."]
+    }
+]
+    """.strip()
+]
diff --git a/graphrag/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/run_gi_extract_claims.py b/graphrag/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/run_gi_extract_claims.py
new file mode 100644
index 0000000000000000000000000000000000000000..1c9f058830d1361af818ba57748b0efded0dc075
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/covariates/extract_covariates/strategies/graph_intelligence/run_gi_extract_claims.py
@@ -0,0 +1,106 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing run and _run_chain methods definitions."""
+
+from collections.abc import Iterable
+from typing import Any
+
+from datashaper import VerbCallbacks
+
+import graphrag.config.defaults as defs
+from graphrag.config.enums import LLMType
+from graphrag.index.cache import PipelineCache
+from graphrag.index.graph.extractors.claims import ClaimExtractor
+from graphrag.index.llm import load_llm
+from graphrag.index.verbs.covariates.typing import (
+    Covariate,
+    CovariateExtractionResult,
+)
+from graphrag.llm import CompletionLLM
+
+from .defaults import MOCK_LLM_RESPONSES
+
+
+async def run(
+    input: str | Iterable[str],
+    entity_types: list[str],
+    resolved_entities_map: dict[str, str],
+    reporter: VerbCallbacks,
+    pipeline_cache: PipelineCache,
+    strategy_config: dict[str, Any],
+) -> CovariateExtractionResult:
+    """Run the Claim extraction chain."""
+    llm_config = strategy_config.get(
+        "llm", {"type": LLMType.StaticResponse, "responses": MOCK_LLM_RESPONSES}
+    )
+    llm_type = llm_config.get("type", LLMType.StaticResponse)
+    llm = load_llm("claim_extraction", llm_type, reporter, pipeline_cache, llm_config)
+    return await _execute(
+        llm, input, entity_types, resolved_entities_map, reporter, strategy_config
+    )
+
+
+async def _execute(
+    llm: CompletionLLM,
+    texts: Iterable[str],
+    entity_types: list[str],
+    resolved_entities_map: dict[str, str],
+    reporter: VerbCallbacks,
+    strategy_config: dict[str, Any],
+) -> CovariateExtractionResult:
+    extraction_prompt = strategy_config.get("extraction_prompt")
+    max_gleanings = strategy_config.get("max_gleanings", defs.CLAIM_MAX_GLEANINGS)
+    tuple_delimiter = strategy_config.get("tuple_delimiter")
+    record_delimiter = strategy_config.get("record_delimiter")
+    completion_delimiter = strategy_config.get("completion_delimiter")
+    encoding_model = strategy_config.get("encoding_name")
+
+    extractor = ClaimExtractor(
+        llm_invoker=llm,
+        extraction_prompt=extraction_prompt,
+        max_gleanings=max_gleanings,
+        encoding_model=encoding_model,
+        on_error=lambda e, s, d: (
+            reporter.error("Claim Extraction Error", e, s, d) if reporter else None
+        ),
+    )
+
+    claim_description = strategy_config.get("claim_description")
+    if claim_description is None:
+        msg = "claim_description is required for claim extraction"
+        raise ValueError(msg)
+
+    texts = [texts] if isinstance(texts, str) else texts
+
+    results = await extractor({
+        "input_text": texts,
+        "entity_specs": entity_types,
+        "resolved_entities": resolved_entities_map,
+        "claim_description": claim_description,
+        "tuple_delimiter": tuple_delimiter,
+        "record_delimiter": record_delimiter,
+        "completion_delimiter": completion_delimiter,
+    })
+
+    claim_data = results.output
+    return CovariateExtractionResult([create_covariate(item) for item in claim_data])
+
+
+def create_covariate(item: dict[str, Any]) -> Covariate:
+    """Create a covariate from the item."""
+    return Covariate(
+        subject_id=item.get("subject_id"),
+        subject_type=item.get("subject_type"),
+        object_id=item.get("object_id"),
+        object_type=item.get("object_type"),
+        type=item.get("type"),
+        status=item.get("status"),
+        start_date=item.get("start_date"),
+        end_date=item.get("end_date"),
+        description=item.get("description"),
+        source_text=item.get("source_text"),
+        doc_id=item.get("doc_id"),
+        record_id=item.get("record_id"),
+        id=item.get("id"),
+    )
diff --git a/graphrag/graphrag/index/verbs/covariates/typing.py b/graphrag/graphrag/index/verbs/covariates/typing.py
new file mode 100644
index 0000000000000000000000000000000000000000..e31cfa49896bdcc8d555144318f5629949120416
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/covariates/typing.py
@@ -0,0 +1,52 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'Covariate' and 'CovariateExtractionResult' models."""
+
+from collections.abc import Awaitable, Callable, Iterable
+from dataclasses import dataclass
+from typing import Any
+
+from datashaper import VerbCallbacks
+
+from graphrag.index.cache import PipelineCache
+
+
+@dataclass
+class Covariate:
+    """Covariate class definition."""
+
+    covariate_type: str | None = None
+    subject_id: str | None = None
+    subject_type: str | None = None
+    object_id: str | None = None
+    object_type: str | None = None
+    type: str | None = None
+    status: str | None = None
+    start_date: str | None = None
+    end_date: str | None = None
+    description: str | None = None
+    source_text: list[str] | None = None
+    doc_id: str | None = None
+    record_id: int | None = None
+    id: str | None = None
+
+
+@dataclass
+class CovariateExtractionResult:
+    """Covariate extraction result class definition."""
+
+    covariate_data: list[Covariate]
+
+
+CovariateExtractStrategy = Callable[
+    [
+        Iterable[str],
+        list[str],
+        dict[str, str],
+        VerbCallbacks,
+        PipelineCache,
+        dict[str, Any],
+    ],
+    Awaitable[CovariateExtractionResult],
+]
diff --git a/graphrag/graphrag/index/verbs/entities/__init__.py b/graphrag/graphrag/index/verbs/entities/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..2f55d710e910075098d3f93daad097cfe2690b9c
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/entities/__init__.py
@@ -0,0 +1,9 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine entities package root."""
+
+from .extraction import entity_extract
+from .summarize import summarize_descriptions
+
+__all__ = ["entity_extract", "summarize_descriptions"]
diff --git a/graphrag/graphrag/index/verbs/entities/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/index/verbs/entities/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/index/verbs/entities/extraction/__init__.py b/graphrag/graphrag/index/verbs/entities/extraction/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..46e6d54581e9894fa0a1f4ecefe8d81412a020ee
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/entities/extraction/__init__.py
@@ -0,0 +1,8 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine entities extraction package root."""
+
+from .entity_extract import ExtractEntityStrategyType, entity_extract
+
+__all__ = ["ExtractEntityStrategyType", "entity_extract"]
diff --git a/graphrag/graphrag/index/verbs/entities/extraction/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/index/verbs/entities/extraction/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/index/verbs/entities/extraction/__pycache__/entity_extract.cpython-310.pyc b/graphrag/graphrag/index/verbs/entities/extraction/__pycache__/entity_extract.cpython-310.pyc
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diff --git a/graphrag/graphrag/index/verbs/entities/extraction/entity_extract.py b/graphrag/graphrag/index/verbs/entities/extraction/entity_extract.py
new file mode 100644
index 0000000000000000000000000000000000000000..4e961f674d0b2967684862236ef02bf8f8fe4a50
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/entities/extraction/entity_extract.py
@@ -0,0 +1,202 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing entity_extract methods."""
+
+import logging
+from enum import Enum
+from typing import Any, cast
+
+import pandas as pd
+from datashaper import (
+    AsyncType,
+    TableContainer,
+    VerbCallbacks,
+    VerbInput,
+    derive_from_rows,
+    verb,
+)
+
+from graphrag.index.bootstrap import bootstrap
+from graphrag.index.cache import PipelineCache
+
+from .strategies.typing import Document, EntityExtractStrategy
+
+log = logging.getLogger(__name__)
+
+
+class ExtractEntityStrategyType(str, Enum):
+    """ExtractEntityStrategyType class definition."""
+
+    graph_intelligence = "graph_intelligence"
+    graph_intelligence_json = "graph_intelligence_json"
+    nltk = "nltk"
+
+    def __repr__(self):
+        """Get a string representation."""
+        return f'"{self.value}"'
+
+
+DEFAULT_ENTITY_TYPES = ["organization", "person", "geo", "event"]
+
+
+@verb(name="entity_extract")
+async def entity_extract(
+    input: VerbInput,
+    cache: PipelineCache,
+    callbacks: VerbCallbacks,
+    column: str,
+    id_column: str,
+    to: str,
+    strategy: dict[str, Any] | None,
+    graph_to: str | None = None,
+    async_mode: AsyncType = AsyncType.AsyncIO,
+    entity_types=DEFAULT_ENTITY_TYPES,
+    **kwargs,
+) -> TableContainer:
+    """
+    Extract entities from a piece of text.
+
+    ## Usage
+    ### json
+    ```json
+    {
+        "verb": "entity_extract",
+        "args": {
+            "column": "the_document_text_column_to_extract_entities_from", /* In general this will be your document text column */
+            "id_column": "the_column_with_the_unique_id_for_each_row", /* In general this will be your document id */
+            "to": "the_column_to_output_the_entities_to", /* This will be a list[dict[str, Any]] a list of entities, with a name, and additional attributes */
+            "graph_to": "the_column_to_output_the_graphml_to", /* Optional: This will be a graphml graph in string form which represents the entities and their relationships */
+            "strategy": {...} <strategy_config>, see strategies section below
+            "entity_types": ["list", "of", "entity", "types", "to", "extract"] /* Optional: This will limit the entity types extracted, default: ["organization", "person", "geo", "event"] */
+            "summarize_descriptions" : true | false /* Optional: This will summarize the descriptions of the entities and relationships, default: true */
+        }
+    }
+    ```
+    ### yaml
+    ```yaml
+    verb: entity_extract
+    args:
+        column: the_document_text_column_to_extract_entities_from
+        id_column: the_column_with_the_unique_id_for_each_row
+        to: the_column_to_output_the_entities_to
+        graph_to: the_column_to_output_the_graphml_to
+        strategy: <strategy_config>, see strategies section below
+        summarize_descriptions: true | false /* Optional: This will summarize the descriptions of the entities and relationships, default: true */
+        entity_types:
+            - list
+            - of
+            - entity
+            - types
+            - to
+            - extract
+    ```
+
+    ## Strategies
+    The entity extract verb uses a strategy to extract entities from a document. The strategy is a json object which defines the strategy to use. The following strategies are available:
+
+    ### graph_intelligence
+    This strategy uses the [graph_intelligence] library to extract entities from a document. In particular it uses a LLM to extract entities from a piece of text. The strategy config is as follows:
+
+    ```yml
+    strategy:
+        type: graph_intelligence
+        extraction_prompt: !include ./entity_extraction_prompt.txt # Optional, the prompt to use for extraction
+        completion_delimiter: "<|COMPLETE|>" # Optional, the delimiter to use for the LLM to mark completion
+        tuple_delimiter: "<|>" # Optional, the delimiter to use for the LLM to mark a tuple
+        record_delimiter: "##" # Optional, the delimiter to use for the LLM to mark a record
+
+        prechunked: true | false # Optional, If the document is already chunked beforehand, otherwise this will chunk the document into smaller bits. default: false
+        encoding_name: cl100k_base # Optional, The encoding to use for the LLM, if not already prechunked, default: cl100k_base
+        chunk_size: 1000 # Optional ,The chunk size to use for the LLM, if not already prechunked, default: 1200
+        chunk_overlap: 100 # Optional, The chunk overlap to use for the LLM, if not already prechunked, default: 100
+
+        llm: # The configuration for the LLM
+            type: openai # the type of llm to use, available options are: openai, azure, openai_chat, azure_openai_chat.  The last two being chat based LLMs.
+            api_key: !ENV ${GRAPHRAG_OPENAI_API_KEY} # The api key to use for openai
+            model: !ENV ${GRAPHRAG_OPENAI_MODEL:gpt-4-turbo-preview} # The model to use for openai
+            max_tokens: !ENV ${GRAPHRAG_MAX_TOKENS:6000} # The max tokens to use for openai
+            organization: !ENV ${GRAPHRAG_OPENAI_ORGANIZATION} # The organization to use for openai
+
+            # if using azure flavor
+            api_base: !ENV ${GRAPHRAG_OPENAI_API_BASE} # The api base to use for azure
+            api_version: !ENV ${GRAPHRAG_OPENAI_API_VERSION} # The api version to use for azure
+            proxy: !ENV ${GRAPHRAG_OPENAI_PROXY} # The proxy to use for azure
+
+    ```
+
+    ### nltk
+    This strategy uses the [nltk] library to extract entities from a document. In particular it uses a nltk to extract entities from a piece of text. The strategy config is as follows:
+    ```yml
+    strategy:
+        type: nltk
+    ```
+    """
+    log.debug("entity_extract strategy=%s", strategy)
+    if entity_types is None:
+        entity_types = DEFAULT_ENTITY_TYPES
+    output = cast(pd.DataFrame, input.get_input())
+    strategy = strategy or {}
+    strategy_exec = _load_strategy(
+        strategy.get("type", ExtractEntityStrategyType.graph_intelligence)
+    )
+    strategy_config = {**strategy}
+
+    num_started = 0
+
+    async def run_strategy(row):
+        nonlocal num_started
+        text = row[column]
+        id = row[id_column]
+        result = await strategy_exec(
+            [Document(text=text, id=id)],
+            entity_types,
+            callbacks,
+            cache,
+            strategy_config,
+        )
+        num_started += 1
+        return [result.entities, result.graphml_graph]
+
+    results = await derive_from_rows(
+        output,
+        run_strategy,
+        callbacks,
+        scheduling_type=async_mode,
+        num_threads=kwargs.get("num_threads", 4),
+    )
+
+    to_result = []
+    graph_to_result = []
+    for result in results:
+        if result:
+            to_result.append(result[0])
+            graph_to_result.append(result[1])
+        else:
+            to_result.append(None)
+            graph_to_result.append(None)
+
+    output[to] = to_result
+    if graph_to is not None:
+        output[graph_to] = graph_to_result
+
+    return TableContainer(table=output.reset_index(drop=True))
+
+
+def _load_strategy(strategy_type: ExtractEntityStrategyType) -> EntityExtractStrategy:
+    """Load strategy method definition."""
+    match strategy_type:
+        case ExtractEntityStrategyType.graph_intelligence:
+            from .strategies.graph_intelligence import run_gi
+
+            return run_gi
+
+        case ExtractEntityStrategyType.nltk:
+            bootstrap()
+            # dynamically import nltk strategy to avoid dependency if not used
+            from .strategies.nltk import run as run_nltk
+
+            return run_nltk
+        case _:
+            msg = f"Unknown strategy: {strategy_type}"
+            raise ValueError(msg)
diff --git a/graphrag/graphrag/index/verbs/entities/extraction/strategies/__init__.py b/graphrag/graphrag/index/verbs/entities/extraction/strategies/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..f5cc17d750afe850d774c8a7e333343d49dbb733
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/entities/extraction/strategies/__init__.py
@@ -0,0 +1,4 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine entities extraction strategies package root."""
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diff --git a/graphrag/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/__init__.py b/graphrag/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..083c0e4112e7ed6552c05bc9eda272649af3b77d
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/__init__.py
@@ -0,0 +1,8 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine graph intelligence package root."""
+
+from .run_graph_intelligence import run_gi
+
+__all__ = ["run_gi"]
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diff --git a/graphrag/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/defaults.py b/graphrag/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/defaults.py
new file mode 100644
index 0000000000000000000000000000000000000000..237e6657c8842be15196a94c3ef6f225cb8902cc
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/defaults.py
@@ -0,0 +1,25 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A file containing some default responses."""
+
+from graphrag.config.enums import LLMType
+
+MOCK_LLM_RESPONSES = [
+    """
+    ("entity"<|>COMPANY_A<|>COMPANY<|>Company_A is a test company)
+    ##
+    ("entity"<|>COMPANY_B<|>COMPANY<|>Company_B owns Company_A and also shares an address with Company_A)
+    ##
+    ("entity"<|>PERSON_C<|>PERSON<|>Person_C is director of Company_A)
+    ##
+    ("relationship"<|>COMPANY_A<|>COMPANY_B<|>Company_A and Company_B are related because Company_A is 100% owned by Company_B and the two companies also share the same address)<|>2)
+    ##
+    ("relationship"<|>COMPANY_A<|>PERSON_C<|>Company_A and Person_C are related because Person_C is director of Company_A<|>1))
+    """.strip()
+]
+
+DEFAULT_LLM_CONFIG = {
+    "type": LLMType.StaticResponse,
+    "responses": MOCK_LLM_RESPONSES,
+}
diff --git a/graphrag/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/run_graph_intelligence.py b/graphrag/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/run_graph_intelligence.py
new file mode 100644
index 0000000000000000000000000000000000000000..06284879835fa056c8519106688d0e3b6db2555d
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/entities/extraction/strategies/graph_intelligence/run_graph_intelligence.py
@@ -0,0 +1,142 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing run_gi,  run_extract_entities and _create_text_splitter methods to run graph intelligence."""
+
+import networkx as nx
+from datashaper import VerbCallbacks
+
+import graphrag.config.defaults as defs
+from graphrag.config.enums import LLMType
+from graphrag.index.cache import PipelineCache
+from graphrag.index.graph.extractors.graph import GraphExtractor
+from graphrag.index.llm import load_llm
+from graphrag.index.text_splitting import (
+    NoopTextSplitter,
+    TextSplitter,
+    TokenTextSplitter,
+)
+from graphrag.index.verbs.entities.extraction.strategies.typing import (
+    Document,
+    EntityExtractionResult,
+    EntityTypes,
+    StrategyConfig,
+)
+from graphrag.llm import CompletionLLM
+
+from .defaults import DEFAULT_LLM_CONFIG
+
+
+async def run_gi(
+    docs: list[Document],
+    entity_types: EntityTypes,
+    reporter: VerbCallbacks,
+    pipeline_cache: PipelineCache,
+    args: StrategyConfig,
+) -> EntityExtractionResult:
+    """Run the graph intelligence entity extraction strategy."""
+    llm_config = args.get("llm", DEFAULT_LLM_CONFIG)
+    llm_type = llm_config.get("type", LLMType.StaticResponse)
+    llm = load_llm("entity_extraction", llm_type, reporter, pipeline_cache, llm_config)
+    return await run_extract_entities(llm, docs, entity_types, reporter, args)
+
+
+async def run_extract_entities(
+    llm: CompletionLLM,
+    docs: list[Document],
+    entity_types: EntityTypes,
+    reporter: VerbCallbacks | None,
+    args: StrategyConfig,
+) -> EntityExtractionResult:
+    """Run the entity extraction chain."""
+    encoding_name = args.get("encoding_name", "cl100k_base")
+
+    # Chunking Arguments
+    prechunked = args.get("prechunked", False)
+    chunk_size = args.get("chunk_size", defs.CHUNK_SIZE)
+    chunk_overlap = args.get("chunk_overlap", defs.CHUNK_OVERLAP)
+
+    # Extraction Arguments
+    tuple_delimiter = args.get("tuple_delimiter", None)
+    record_delimiter = args.get("record_delimiter", None)
+    completion_delimiter = args.get("completion_delimiter", None)
+    extraction_prompt = args.get("extraction_prompt", None)
+    encoding_model = args.get("encoding_name", None)
+    max_gleanings = args.get("max_gleanings", defs.ENTITY_EXTRACTION_MAX_GLEANINGS)
+
+    # note: We're not using UnipartiteGraphChain.from_params
+    # because we want to pass "timeout" to the llm_kwargs
+    text_splitter = _create_text_splitter(
+        prechunked, chunk_size, chunk_overlap, encoding_name
+    )
+
+    extractor = GraphExtractor(
+        llm_invoker=llm,
+        prompt=extraction_prompt,
+        encoding_model=encoding_model,
+        max_gleanings=max_gleanings,
+        on_error=lambda e, s, d: (
+            reporter.error("Entity Extraction Error", e, s, d) if reporter else None
+        ),
+    )
+    text_list = [doc.text.strip() for doc in docs]
+
+    # If it's not pre-chunked, then re-chunk the input
+    if not prechunked:
+        text_list = text_splitter.split_text("\n".join(text_list))
+
+    results = await extractor(
+        list(text_list),
+        {
+            "entity_types": entity_types,
+            "tuple_delimiter": tuple_delimiter,
+            "record_delimiter": record_delimiter,
+            "completion_delimiter": completion_delimiter,
+        },
+    )
+
+    graph = results.output
+    # Map the "source_id" back to the "id" field
+    for _, node in graph.nodes(data=True):  # type: ignore
+        if node is not None:
+            node["source_id"] = ",".join(
+                docs[int(id)].id for id in node["source_id"].split(",")
+            )
+
+    for _, _, edge in graph.edges(data=True):  # type: ignore
+        if edge is not None:
+            edge["source_id"] = ",".join(
+                docs[int(id)].id for id in edge["source_id"].split(",")
+            )
+
+    entities = [
+        ({"name": item[0], **(item[1] or {})})
+        for item in graph.nodes(data=True)
+        if item is not None
+    ]
+
+    graph_data = "".join(nx.generate_graphml(graph))
+    return EntityExtractionResult(entities, graph_data)
+
+
+def _create_text_splitter(
+    prechunked: bool, chunk_size: int, chunk_overlap: int, encoding_name: str
+) -> TextSplitter:
+    """Create a text splitter for the extraction chain.
+
+    Args:
+        - prechunked - Whether the text is already chunked
+        - chunk_size - The size of each chunk
+        - chunk_overlap - The overlap between chunks
+        - encoding_name - The name of the encoding to use
+    Returns:
+        - output - A text splitter
+    """
+    if prechunked:
+        return NoopTextSplitter()
+
+    return TokenTextSplitter(
+        chunk_size=chunk_size,
+        chunk_overlap=chunk_overlap,
+        encoding_name=encoding_name,
+    )
diff --git a/graphrag/graphrag/index/verbs/entities/extraction/strategies/nltk.py b/graphrag/graphrag/index/verbs/entities/extraction/strategies/nltk.py
new file mode 100644
index 0000000000000000000000000000000000000000..48d4dae4ca28bcae70420aa66689b1a306cf37ba
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/entities/extraction/strategies/nltk.py
@@ -0,0 +1,61 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing run method definition."""
+
+import networkx as nx
+import nltk
+from datashaper import VerbCallbacks
+from nltk.corpus import words
+
+from graphrag.index.cache import PipelineCache
+
+from .typing import Document, EntityExtractionResult, EntityTypes, StrategyConfig
+
+# Need to do this cause we're potentially multithreading, and nltk doesn't like that
+words.ensure_loaded()
+
+
+async def run(  # noqa RUF029 async is required for interface
+    docs: list[Document],
+    entity_types: EntityTypes,
+    reporter: VerbCallbacks,  # noqa ARG001
+    pipeline_cache: PipelineCache,  # noqa ARG001
+    args: StrategyConfig,  # noqa ARG001
+) -> EntityExtractionResult:
+    """Run method definition."""
+    entity_map = {}
+    graph = nx.Graph()
+    for doc in docs:
+        connected_entities = []
+        for chunk in nltk.ne_chunk(nltk.pos_tag(nltk.word_tokenize(doc.text))):
+            if hasattr(chunk, "label"):
+                entity_type = chunk.label().lower()
+                if entity_type in entity_types:
+                    name = (" ".join(c[0] for c in chunk)).upper()
+                    connected_entities.append(name)
+                    if name not in entity_map:
+                        entity_map[name] = entity_type
+                        graph.add_node(
+                            name, type=entity_type, description=name, source_id=doc.id
+                        )
+
+        # connect the entities if they appear in the same document
+        if len(connected_entities) > 1:
+            for i in range(len(connected_entities)):
+                for j in range(i + 1, len(connected_entities)):
+                    description = f"{connected_entities[i]} -> {connected_entities[j]}"
+                    graph.add_edge(
+                        connected_entities[i],
+                        connected_entities[j],
+                        description=description,
+                        source_id=doc.id,
+                    )
+
+    return EntityExtractionResult(
+        entities=[
+            {"type": entity_type, "name": name}
+            for name, entity_type in entity_map.items()
+        ],
+        graphml_graph="".join(nx.generate_graphml(graph)),
+    )
diff --git a/graphrag/graphrag/index/verbs/entities/extraction/strategies/typing.py b/graphrag/graphrag/index/verbs/entities/extraction/strategies/typing.py
new file mode 100644
index 0000000000000000000000000000000000000000..45d3f1b80e47fc10a71573a5cc57bd35441f3137
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/entities/extraction/strategies/typing.py
@@ -0,0 +1,44 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'Document' and 'EntityExtractionResult' models."""
+
+from collections.abc import Awaitable, Callable
+from dataclasses import dataclass
+from typing import Any
+
+from datashaper import VerbCallbacks
+
+from graphrag.index.cache import PipelineCache
+
+ExtractedEntity = dict[str, Any]
+StrategyConfig = dict[str, Any]
+EntityTypes = list[str]
+
+
+@dataclass
+class Document:
+    """Document class definition."""
+
+    text: str
+    id: str
+
+
+@dataclass
+class EntityExtractionResult:
+    """Entity extraction result class definition."""
+
+    entities: list[ExtractedEntity]
+    graphml_graph: str | None
+
+
+EntityExtractStrategy = Callable[
+    [
+        list[Document],
+        EntityTypes,
+        VerbCallbacks,
+        PipelineCache,
+        StrategyConfig,
+    ],
+    Awaitable[EntityExtractionResult],
+]
diff --git a/graphrag/graphrag/index/verbs/entities/summarize/__init__.py b/graphrag/graphrag/index/verbs/entities/summarize/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..9ba401295ea155fd568e30f1bd7c11944966774a
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/entities/summarize/__init__.py
@@ -0,0 +1,8 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Root package for resolution entities."""
+
+from .description_summarize import SummarizeStrategyType, summarize_descriptions
+
+__all__ = ["SummarizeStrategyType", "summarize_descriptions"]
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diff --git a/graphrag/graphrag/index/verbs/entities/summarize/description_summarize.py b/graphrag/graphrag/index/verbs/entities/summarize/description_summarize.py
new file mode 100644
index 0000000000000000000000000000000000000000..5b7feb4184bbfcd87f863d5248d5a5dce05b1347
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/entities/summarize/description_summarize.py
@@ -0,0 +1,207 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing the summarize_descriptions verb."""
+
+import asyncio
+import logging
+from enum import Enum
+from typing import Any, NamedTuple, cast
+
+import networkx as nx
+import pandas as pd
+from datashaper import (
+    ProgressTicker,
+    TableContainer,
+    VerbCallbacks,
+    VerbInput,
+    progress_ticker,
+    verb,
+)
+
+from graphrag.index.cache import PipelineCache
+from graphrag.index.utils import load_graph
+
+from .strategies.typing import SummarizationStrategy
+
+log = logging.getLogger(__name__)
+
+
+class DescriptionSummarizeRow(NamedTuple):
+    """DescriptionSummarizeRow class definition."""
+
+    graph: Any
+
+
+class SummarizeStrategyType(str, Enum):
+    """SummarizeStrategyType class definition."""
+
+    graph_intelligence = "graph_intelligence"
+
+    def __repr__(self):
+        """Get a string representation."""
+        return f'"{self.value}"'
+
+
+@verb(name="summarize_descriptions")
+async def summarize_descriptions(
+    input: VerbInput,
+    cache: PipelineCache,
+    callbacks: VerbCallbacks,
+    column: str,
+    to: str,
+    strategy: dict[str, Any] | None = None,
+    **kwargs,
+) -> TableContainer:
+    """
+    Summarize entity and relationship descriptions from an entity graph.
+
+    ## Usage
+
+    To turn this feature ON please set the environment variable `GRAPHRAG_SUMMARIZE_DESCRIPTIONS_ENABLED=True`.
+
+    ### json
+
+    ```json
+    {
+        "verb": "",
+        "args": {
+            "column": "the_document_text_column_to_extract_descriptions_from", /* Required: This will be a graphml graph in string form which represents the entities and their relationships */
+            "to": "the_column_to_output_the_summarized_descriptions_to", /* Required: This will be a graphml graph in string form which represents the entities and their relationships after being summarized */
+            "strategy": {...} <strategy_config>, see strategies section below
+        }
+    }
+    ```
+
+    ### yaml
+
+    ```yaml
+    verb: entity_extract
+    args:
+        column: the_document_text_column_to_extract_descriptions_from
+        to: the_column_to_output_the_summarized_descriptions_to
+        strategy: <strategy_config>, see strategies section below
+    ```
+
+    ## Strategies
+
+    The summarize descriptions verb uses a strategy to summarize descriptions for entities. The strategy is a json object which defines the strategy to use. The following strategies are available:
+
+    ### graph_intelligence
+
+    This strategy uses the [graph_intelligence] library to summarize descriptions for entities. The strategy config is as follows:
+
+    ```yml
+    strategy:
+        type: graph_intelligence
+        summarize_prompt: # Optional, the prompt to use for extraction
+
+
+        llm: # The configuration for the LLM
+            type: openai # the type of llm to use, available options are: openai, azure, openai_chat, azure_openai_chat.  The last two being chat based LLMs.
+            api_key: !ENV ${GRAPHRAG_OPENAI_API_KEY} # The api key to use for openai
+            model: !ENV ${GRAPHRAG_OPENAI_MODEL:gpt-4-turbo-preview} # The model to use for openai
+            max_tokens: !ENV ${GRAPHRAG_MAX_TOKENS:6000} # The max tokens to use for openai
+            organization: !ENV ${GRAPHRAG_OPENAI_ORGANIZATION} # The organization to use for openai
+
+            # if using azure flavor
+            api_base: !ENV ${GRAPHRAG_OPENAI_API_BASE} # The api base to use for azure
+            api_version: !ENV ${GRAPHRAG_OPENAI_API_VERSION} # The api version to use for azure
+            proxy: !ENV ${GRAPHRAG_OPENAI_PROXY} # The proxy to use for azure
+    ```
+    """
+    log.debug("summarize_descriptions strategy=%s", strategy)
+    output = cast(pd.DataFrame, input.get_input())
+    strategy = strategy or {}
+    strategy_exec = load_strategy(
+        strategy.get("type", SummarizeStrategyType.graph_intelligence)
+    )
+    strategy_config = {**strategy}
+
+    async def get_resolved_entities(row, semaphore: asyncio.Semaphore):
+        graph: nx.Graph = load_graph(cast(str | nx.Graph, getattr(row, column)))
+
+        ticker_length = len(graph.nodes) + len(graph.edges)
+
+        ticker = progress_ticker(callbacks.progress, ticker_length)
+
+        futures = [
+            do_summarize_descriptions(
+                node,
+                sorted(set(graph.nodes[node].get("description", "").split("\n"))),
+                ticker,
+                semaphore,
+            )
+            for node in graph.nodes()
+        ]
+        futures += [
+            do_summarize_descriptions(
+                edge,
+                sorted(set(graph.edges[edge].get("description", "").split("\n"))),
+                ticker,
+                semaphore,
+            )
+            for edge in graph.edges()
+        ]
+
+        results = await asyncio.gather(*futures)
+
+        for result in results:
+            graph_item = result.items
+            if isinstance(graph_item, str) and graph_item in graph.nodes():
+                graph.nodes[graph_item]["description"] = result.description
+            elif isinstance(graph_item, tuple) and graph_item in graph.edges():
+                graph.edges[graph_item]["description"] = result.description
+
+        return DescriptionSummarizeRow(
+            graph="\n".join(nx.generate_graphml(graph)),
+        )
+
+    async def do_summarize_descriptions(
+        graph_item: str | tuple[str, str],
+        descriptions: list[str],
+        ticker: ProgressTicker,
+        semaphore: asyncio.Semaphore,
+    ):
+        async with semaphore:
+            results = await strategy_exec(
+                graph_item,
+                descriptions,
+                callbacks,
+                cache,
+                strategy_config,
+            )
+            ticker(1)
+        return results
+
+    # Graph is always on row 0, so here a derive from rows does not work
+    # This iteration will only happen once, but avoids hardcoding a iloc[0]
+    # Since parallelization is at graph level (nodes and edges), we can't use
+    # the parallelization of the derive_from_rows
+    semaphore = asyncio.Semaphore(kwargs.get("num_threads", 4))
+
+    results = [
+        await get_resolved_entities(row, semaphore) for row in output.itertuples()
+    ]
+
+    to_result = []
+
+    for result in results:
+        if result:
+            to_result.append(result.graph)
+        else:
+            to_result.append(None)
+    output[to] = to_result
+    return TableContainer(table=output)
+
+
+def load_strategy(strategy_type: SummarizeStrategyType) -> SummarizationStrategy:
+    """Load strategy method definition."""
+    match strategy_type:
+        case SummarizeStrategyType.graph_intelligence:
+            from .strategies.graph_intelligence import run as run_gi
+
+            return run_gi
+        case _:
+            msg = f"Unknown strategy: {strategy_type}"
+            raise ValueError(msg)
diff --git a/graphrag/graphrag/index/verbs/entities/summarize/strategies/__init__.py b/graphrag/graphrag/index/verbs/entities/summarize/strategies/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..28c398e6ac9aed603de1f8f455d987d82d8fe4a0
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/entities/summarize/strategies/__init__.py
@@ -0,0 +1,8 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Indexing Engine - Summarization Strategies Package."""
+
+from .typing import SummarizationStrategy
+
+__all__ = ["SummarizationStrategy"]
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diff --git a/graphrag/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/__init__.py b/graphrag/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..665600d0fb4ccefc77a50c9194f2b865fd424ae3
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/__init__.py
@@ -0,0 +1,8 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Entity Resolution graph intelligence package root."""
+
+from .run_graph_intelligence import run
+
+__all__ = ["run"]
diff --git a/graphrag/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/defaults.py b/graphrag/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/defaults.py
new file mode 100644
index 0000000000000000000000000000000000000000..8ac42aa13d39875c14ed6b56c11890cd6f3e8f21
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/defaults.py
@@ -0,0 +1,17 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A file containing some default responses."""
+
+from graphrag.config.enums import LLMType
+
+MOCK_LLM_RESPONSES = [
+    """
+    This is a MOCK response for the LLM. It is summarized!
+    """.strip()
+]
+
+DEFAULT_LLM_CONFIG = {
+    "type": LLMType.StaticResponse,
+    "responses": MOCK_LLM_RESPONSES,
+}
diff --git a/graphrag/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/run_graph_intelligence.py b/graphrag/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/run_graph_intelligence.py
new file mode 100644
index 0000000000000000000000000000000000000000..57a1ecd218c546594fc8eab8132411487610834a
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/entities/summarize/strategies/graph_intelligence/run_graph_intelligence.py
@@ -0,0 +1,70 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing run_gi,  run_resolve_entities and _create_text_list_splitter methods to run graph intelligence."""
+
+from datashaper import VerbCallbacks
+
+from graphrag.config.enums import LLMType
+from graphrag.index.cache import PipelineCache
+from graphrag.index.graph.extractors.summarize import SummarizeExtractor
+from graphrag.index.llm import load_llm
+from graphrag.index.verbs.entities.summarize.strategies.typing import (
+    StrategyConfig,
+    SummarizedDescriptionResult,
+)
+from graphrag.llm import CompletionLLM
+
+from .defaults import DEFAULT_LLM_CONFIG
+
+
+async def run(
+    described_items: str | tuple[str, str],
+    descriptions: list[str],
+    reporter: VerbCallbacks,
+    pipeline_cache: PipelineCache,
+    args: StrategyConfig,
+) -> SummarizedDescriptionResult:
+    """Run the graph intelligence entity extraction strategy."""
+    llm_config = args.get("llm", DEFAULT_LLM_CONFIG)
+    llm_type = llm_config.get("type", LLMType.StaticResponse)
+    llm = load_llm(
+        "summarize_descriptions", llm_type, reporter, pipeline_cache, llm_config
+    )
+    return await run_summarize_descriptions(
+        llm, described_items, descriptions, reporter, args
+    )
+
+
+async def run_summarize_descriptions(
+    llm: CompletionLLM,
+    items: str | tuple[str, str],
+    descriptions: list[str],
+    reporter: VerbCallbacks,
+    args: StrategyConfig,
+) -> SummarizedDescriptionResult:
+    """Run the entity extraction chain."""
+    # Extraction Arguments
+    summarize_prompt = args.get("summarize_prompt", None)
+    entity_name_key = args.get("entity_name_key", "entity_name")
+    input_descriptions_key = args.get("input_descriptions_key", "description_list")
+    max_tokens = args.get("max_tokens", None)
+
+    extractor = SummarizeExtractor(
+        llm_invoker=llm,
+        summarization_prompt=summarize_prompt,
+        entity_name_key=entity_name_key,
+        input_descriptions_key=input_descriptions_key,
+        on_error=lambda e, stack, details: (
+            reporter.error("Entity Extraction Error", e, stack, details)
+            if reporter
+            else None
+        ),
+        max_summary_length=args.get("max_summary_length", None),
+        max_input_tokens=max_tokens,
+    )
+
+    result = await extractor(items=items, descriptions=descriptions)
+    return SummarizedDescriptionResult(
+        items=result.items, description=result.description
+    )
diff --git a/graphrag/graphrag/index/verbs/entities/summarize/strategies/typing.py b/graphrag/graphrag/index/verbs/entities/summarize/strategies/typing.py
new file mode 100644
index 0000000000000000000000000000000000000000..e950cedc109891aba9acd5800780afea00177f77
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/entities/summarize/strategies/typing.py
@@ -0,0 +1,34 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'ResolvedEntity' and 'EntityResolutionResult' models."""
+
+from collections.abc import Awaitable, Callable
+from dataclasses import dataclass
+from typing import Any
+
+from datashaper import VerbCallbacks
+
+from graphrag.index.cache import PipelineCache
+
+StrategyConfig = dict[str, Any]
+
+
+@dataclass
+class SummarizedDescriptionResult:
+    """Entity summarization result class definition."""
+
+    items: str | tuple[str, str]
+    description: str
+
+
+SummarizationStrategy = Callable[
+    [
+        str | tuple[str, str],
+        list[str],
+        VerbCallbacks,
+        PipelineCache,
+        StrategyConfig,
+    ],
+    Awaitable[SummarizedDescriptionResult],
+]
diff --git a/graphrag/graphrag/index/verbs/genid.py b/graphrag/graphrag/index/verbs/genid.py
new file mode 100644
index 0000000000000000000000000000000000000000..019ffc2da04da9e4b36e64f13bba52f6cbd64552
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/genid.py
@@ -0,0 +1,66 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing genid method definition."""
+
+from typing import cast
+
+import pandas as pd
+from datashaper import TableContainer, VerbInput, verb
+
+from graphrag.index.utils import gen_md5_hash
+
+
+@verb(name="genid")
+def genid(
+    input: VerbInput,
+    to: str,
+    method: str = "md5_hash",
+    hash: list[str] = [],  # noqa A002
+    **_kwargs: dict,
+) -> TableContainer:
+    """
+    Generate a unique id for each row in the tabular data.
+
+    ## Usage
+    ### json
+    ```json
+    {
+        "verb": "genid",
+        "args": {
+            "to": "id_output_column_name", /* The name of the column to output the id to */
+            "method": "md5_hash", /* The method to use to generate the id */
+            "hash": ["list", "of", "column", "names"] /* only if using md5_hash */,
+            "seed": 034324 /* The random seed to use with UUID */
+        }
+    }
+    ```
+
+    ### yaml
+    ```yaml
+    verb: genid
+    args:
+        to: id_output_column_name
+        method: md5_hash
+        hash:
+            - list
+            - of
+            - column
+            - names
+        seed: 034324
+    ```
+    """
+    data = cast(pd.DataFrame, input.source.table)
+
+    if method == "md5_hash":
+        if len(hash) == 0:
+            msg = 'Must specify the "hash" columns to use md5_hash method'
+            raise ValueError(msg)
+
+        data[to] = data.apply(lambda row: gen_md5_hash(row, hash), axis=1)
+    elif method == "increment":
+        data[to] = data.index + 1
+    else:
+        msg = f"Unknown method {method}"
+        raise ValueError(msg)
+    return TableContainer(table=data)
diff --git a/graphrag/graphrag/index/verbs/graph/__init__.py b/graphrag/graphrag/index/verbs/graph/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..5edbdbe5306a33c3b04b63528ee1adca04d51937
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/__init__.py
@@ -0,0 +1,36 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine graph package root."""
+
+from .clustering import cluster_graph
+from .compute_edge_combined_degree import compute_edge_combined_degree
+from .create import DEFAULT_EDGE_ATTRIBUTES, DEFAULT_NODE_ATTRIBUTES, create_graph
+from .embed import embed_graph
+from .layout import layout_graph
+from .merge import merge_graphs
+from .report import (
+    create_community_reports,
+    prepare_community_reports,
+    prepare_community_reports_claims,
+    prepare_community_reports_edges,
+    restore_community_hierarchy,
+)
+from .unpack import unpack_graph
+
+__all__ = [
+    "DEFAULT_EDGE_ATTRIBUTES",
+    "DEFAULT_NODE_ATTRIBUTES",
+    "cluster_graph",
+    "compute_edge_combined_degree",
+    "create_community_reports",
+    "create_graph",
+    "embed_graph",
+    "layout_graph",
+    "merge_graphs",
+    "prepare_community_reports",
+    "prepare_community_reports_claims",
+    "prepare_community_reports_edges",
+    "restore_community_hierarchy",
+    "unpack_graph",
+]
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diff --git a/graphrag/graphrag/index/verbs/graph/clustering/__init__.py b/graphrag/graphrag/index/verbs/graph/clustering/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..a5db89bb7f039d27e015fbf46e692662b7d48b6e
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/clustering/__init__.py
@@ -0,0 +1,8 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine graph clustering package root."""
+
+from .cluster_graph import GraphCommunityStrategyType, cluster_graph
+
+__all__ = ["GraphCommunityStrategyType", "cluster_graph"]
diff --git a/graphrag/graphrag/index/verbs/graph/clustering/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/index/verbs/graph/clustering/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/index/verbs/graph/clustering/cluster_graph.py b/graphrag/graphrag/index/verbs/graph/clustering/cluster_graph.py
new file mode 100644
index 0000000000000000000000000000000000000000..418ad87c937b65bbab862acc3c3aa5e5e8d8c1ca
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/clustering/cluster_graph.py
@@ -0,0 +1,173 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing cluster_graph, apply_clustering and run_layout methods definition."""
+
+import logging
+from enum import Enum
+from random import Random
+from typing import Any, cast
+
+import networkx as nx
+import pandas as pd
+from datashaper import TableContainer, VerbCallbacks, VerbInput, progress_iterable, verb
+
+from graphrag.index.utils import gen_uuid, load_graph
+
+from .typing import Communities
+
+log = logging.getLogger(__name__)
+
+
+@verb(name="cluster_graph")
+def cluster_graph(
+    input: VerbInput,
+    callbacks: VerbCallbacks,
+    strategy: dict[str, Any],
+    column: str,
+    to: str,
+    level_to: str | None = None,
+    **_kwargs,
+) -> TableContainer:
+    """
+    Apply a hierarchical clustering algorithm to a graph. The graph is expected to be in graphml format. The verb outputs a new column containing the clustered graph, and a new column containing the level of the graph.
+
+    ## Usage
+    ```yaml
+    verb: cluster_graph
+    args:
+        column: entity_graph # The name of the column containing the graph, should be a graphml graph
+        to: clustered_graph # The name of the column to output the clustered graph to
+        level_to: level # The name of the column to output the level to
+        strategy: <strategy config> # See strategies section below
+    ```
+
+    ## Strategies
+    The cluster graph verb uses a strategy to cluster the graph. The strategy is a json object which defines the strategy to use. The following strategies are available:
+
+    ### leiden
+    This strategy uses the leiden algorithm to cluster a graph. The strategy config is as follows:
+    ```yaml
+    strategy:
+        type: leiden
+        max_cluster_size: 10 # Optional, The max cluster size to use, default: 10
+        use_lcc: true # Optional, if the largest connected component should be used with the leiden algorithm, default: true
+        seed: 0xDEADBEEF # Optional, the seed to use for the leiden algorithm, default: 0xDEADBEEF
+        levels: [0, 1] # Optional, the levels to output, default: all the levels detected
+
+    ```
+    """
+    output_df = cast(pd.DataFrame, input.get_input())
+    results = output_df[column].apply(lambda graph: run_layout(strategy, graph))
+
+    community_map_to = "communities"
+    output_df[community_map_to] = results
+
+    level_to = level_to or f"{to}_level"
+    output_df[level_to] = output_df.apply(
+        lambda x: list({level for level, _, _ in x[community_map_to]}), axis=1
+    )
+    output_df[to] = [None] * len(output_df)
+
+    num_total = len(output_df)
+
+    # Go through each of the rows
+    graph_level_pairs_column: list[list[tuple[int, str]]] = []
+    for _, row in progress_iterable(
+        output_df.iterrows(), callbacks.progress, num_total
+    ):
+        levels = row[level_to]
+        graph_level_pairs: list[tuple[int, str]] = []
+
+        # For each of the levels, get the graph and add it to the list
+        for level in levels:
+            graph = "\n".join(
+                nx.generate_graphml(
+                    apply_clustering(
+                        cast(str, row[column]),
+                        cast(Communities, row[community_map_to]),
+                        level,
+                    )
+                )
+            )
+            graph_level_pairs.append((level, graph))
+        graph_level_pairs_column.append(graph_level_pairs)
+    output_df[to] = graph_level_pairs_column
+
+    # explode the list of (level, graph) pairs into separate rows
+    output_df = output_df.explode(to, ignore_index=True)
+
+    # split the (level, graph) pairs into separate columns
+    output_df[[level_to, to]] = pd.DataFrame(output_df[to].tolist(), index=output_df.index, columns=[level_to, to])
+
+    # clean up the community map
+    output_df.drop(columns=[community_map_to], inplace=True)
+
+    return TableContainer(table=output_df)
+
+
+# TODO: This should support str | nx.Graph as a graphml param
+def apply_clustering(
+    graphml: str, communities: Communities, level=0, seed=0xF001
+) -> nx.Graph:
+    """Apply clustering to a graphml string."""
+    random = Random(seed)  # noqa S311
+    graph = nx.parse_graphml(graphml)
+    for community_level, community_id, nodes in communities:
+        if level == community_level:
+            for node in nodes:
+                graph.nodes[node]["cluster"] = community_id
+                graph.nodes[node]["level"] = level
+
+    # add node degree
+    for node_degree in graph.degree:
+        graph.nodes[str(node_degree[0])]["degree"] = int(node_degree[1])
+
+    # add node uuid and incremental record id (a human readable id used as reference in the final report)
+    for index, node in enumerate(graph.nodes()):
+        graph.nodes[node]["human_readable_id"] = index
+        graph.nodes[node]["id"] = str(gen_uuid(random))
+
+    # add ids to edges
+    for index, edge in enumerate(graph.edges()):
+        graph.edges[edge]["id"] = str(gen_uuid(random))
+        graph.edges[edge]["human_readable_id"] = index
+        graph.edges[edge]["level"] = level
+    return graph
+
+
+class GraphCommunityStrategyType(str, Enum):
+    """GraphCommunityStrategyType class definition."""
+
+    leiden = "leiden"
+
+    def __repr__(self):
+        """Get a string representation."""
+        return f'"{self.value}"'
+
+
+def run_layout(
+    strategy: dict[str, Any], graphml_or_graph: str | nx.Graph
+) -> Communities:
+    """Run layout method definition."""
+    graph = load_graph(graphml_or_graph)
+    if len(graph.nodes) == 0:
+        log.warning("Graph has no nodes")
+        return []
+
+    clusters: dict[int, dict[str, list[str]]] = {}
+    strategy_type = strategy.get("type", GraphCommunityStrategyType.leiden)
+    match strategy_type:
+        case GraphCommunityStrategyType.leiden:
+            from .strategies.leiden import run as run_leiden
+
+            clusters = run_leiden(graph, strategy)
+        case _:
+            msg = f"Unknown clustering strategy {strategy_type}"
+            raise ValueError(msg)
+
+    results: Communities = []
+    for level in clusters:
+        for cluster_id, nodes in clusters[level].items():
+            results.append((level, cluster_id, nodes))
+    return results
diff --git a/graphrag/graphrag/index/verbs/graph/clustering/strategies/__init__.py b/graphrag/graphrag/index/verbs/graph/clustering/strategies/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..16a03f12d676fbbda16a26645a0bcf26050b1c5b
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/clustering/strategies/__init__.py
@@ -0,0 +1,4 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Graph Clustering Strategies."""
diff --git a/graphrag/graphrag/index/verbs/graph/clustering/strategies/leiden.py b/graphrag/graphrag/index/verbs/graph/clustering/strategies/leiden.py
new file mode 100644
index 0000000000000000000000000000000000000000..ffc36880411a686a8bd973728f27efa4bb2bf09f
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/clustering/strategies/leiden.py
@@ -0,0 +1,69 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing run and _compute_leiden_communities methods definitions."""
+
+import logging
+from typing import Any
+
+import networkx as nx
+from graspologic.partition import hierarchical_leiden
+
+from graphrag.index.graph.utils import stable_largest_connected_component
+
+log = logging.getLogger(__name__)
+
+
+def run(graph: nx.Graph, args: dict[str, Any]) -> dict[int, dict[str, list[str]]]:
+    """Run method definition."""
+    max_cluster_size = args.get("max_cluster_size", 10)
+    use_lcc = args.get("use_lcc", True)
+    if args.get("verbose", False):
+        log.info(
+            "Running leiden with max_cluster_size=%s, lcc=%s", max_cluster_size, use_lcc
+        )
+
+    node_id_to_community_map = _compute_leiden_communities(
+        graph=graph,
+        max_cluster_size=max_cluster_size,
+        use_lcc=use_lcc,
+        seed=args.get("seed", 0xDEADBEEF),
+    )
+    levels = args.get("levels")
+
+    # If they don't pass in levels, use them all
+    if levels is None:
+        levels = sorted(node_id_to_community_map.keys())
+
+    results_by_level: dict[int, dict[str, list[str]]] = {}
+    for level in levels:
+        result = {}
+        results_by_level[level] = result
+        for node_id, raw_community_id in node_id_to_community_map[level].items():
+            community_id = str(raw_community_id)
+            if community_id not in result:
+                result[community_id] = []
+            result[community_id].append(node_id)
+    return results_by_level
+
+
+# Taken from graph_intelligence & adapted
+def _compute_leiden_communities(
+    graph: nx.Graph | nx.DiGraph,
+    max_cluster_size: int,
+    use_lcc: bool,
+    seed=0xDEADBEEF,
+) -> dict[int, dict[str, int]]:
+    """Return Leiden root communities."""
+    if use_lcc:
+        graph = stable_largest_connected_component(graph)
+
+    community_mapping = hierarchical_leiden(
+        graph, max_cluster_size=max_cluster_size, random_seed=seed
+    )
+    results: dict[int, dict[str, int]] = {}
+    for partition in community_mapping:
+        results[partition.level] = results.get(partition.level, {})
+        results[partition.level][partition.node] = partition.cluster
+
+    return results
diff --git a/graphrag/graphrag/index/verbs/graph/clustering/typing.py b/graphrag/graphrag/index/verbs/graph/clustering/typing.py
new file mode 100644
index 0000000000000000000000000000000000000000..4d6fc7e60115a840114c91f72be439c18f0c24de
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/clustering/typing.py
@@ -0,0 +1,6 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing Communities list definition."""
+
+Communities = list[tuple[int, str, list[str]]]
diff --git a/graphrag/graphrag/index/verbs/graph/compute_edge_combined_degree.py b/graphrag/graphrag/index/verbs/graph/compute_edge_combined_degree.py
new file mode 100644
index 0000000000000000000000000000000000000000..1f2dd71972f74cba0a9d254f42e23c4c6aa1b085
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/compute_edge_combined_degree.py
@@ -0,0 +1,70 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing create_graph, _get_node_attributes, _get_edge_attributes and _get_attribute_column_mapping methods definition."""
+
+from typing import cast
+
+import pandas as pd
+from datashaper import TableContainer, VerbInput, verb
+
+from graphrag.index.utils.ds_util import get_required_input_table
+
+
+@verb(name="compute_edge_combined_degree")
+def compute_edge_combined_degree(
+    input: VerbInput,
+    to: str = "rank",
+    node_name_column: str = "title",
+    node_degree_column: str = "degree",
+    edge_source_column: str = "source",
+    edge_target_column: str = "target",
+    **_kwargs,
+) -> TableContainer:
+    """
+    Compute the combined degree for each edge in a graph.
+
+    Inputs Tables:
+    - input: The edge table
+    - nodes: The nodes table.
+
+    Args:
+    - to: The name of the column to output the combined degree to. Default="rank"
+    """
+    edge_df: pd.DataFrame = cast(pd.DataFrame, input.get_input())
+    if to in edge_df.columns:
+        return TableContainer(table=edge_df)
+    node_degree_df = _get_node_degree_table(input, node_name_column, node_degree_column)
+
+    def join_to_degree(df: pd.DataFrame, column: str) -> pd.DataFrame:
+        degree_column = _degree_colname(column)
+        result = df.merge(
+            node_degree_df.rename(
+                columns={node_name_column: column, node_degree_column: degree_column}
+            ),
+            on=column,
+            how="left",
+        )
+        result[degree_column] = result[degree_column].fillna(0)
+        return result
+
+    edge_df = join_to_degree(edge_df, edge_source_column)
+    edge_df = join_to_degree(edge_df, edge_target_column)
+    edge_df[to] = (
+        edge_df[_degree_colname(edge_source_column)]
+        + edge_df[_degree_colname(edge_target_column)]
+    )
+
+    return TableContainer(table=edge_df)
+
+
+def _degree_colname(column: str) -> str:
+    return f"{column}_degree"
+
+
+def _get_node_degree_table(
+    input: VerbInput, node_name_column: str, node_degree_column: str
+) -> pd.DataFrame:
+    nodes_container = get_required_input_table(input, "nodes")
+    nodes = cast(pd.DataFrame, nodes_container.table)
+    return cast(pd.DataFrame, nodes[[node_name_column, node_degree_column]])
diff --git a/graphrag/graphrag/index/verbs/graph/create.py b/graphrag/graphrag/index/verbs/graph/create.py
new file mode 100644
index 0000000000000000000000000000000000000000..eaf06284ef53187a8ba0ad4f4ab273c0686eae95
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/create.py
@@ -0,0 +1,135 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing create_graph, _get_node_attributes, _get_edge_attributes and _get_attribute_column_mapping methods definition."""
+
+from typing import Any
+
+import networkx as nx
+import pandas as pd
+from datashaper import TableContainer, VerbCallbacks, VerbInput, progress_iterable, verb
+
+from graphrag.index.utils import clean_str
+
+DEFAULT_NODE_ATTRIBUTES = ["label", "type", "id", "name", "description", "community"]
+DEFAULT_EDGE_ATTRIBUTES = ["label", "type", "name", "source", "target"]
+
+
+@verb(name="create_graph")
+def create_graph(
+    input: VerbInput,
+    callbacks: VerbCallbacks,
+    to: str,
+    type: str,  # noqa A002
+    graph_type: str = "undirected",
+    **kwargs,
+) -> TableContainer:
+    """
+    Create a graph from a dataframe. The verb outputs a new column containing the graph.
+
+    > Note: This will roll up all rows into a single graph.
+
+    ## Usage
+    ```yaml
+    verb: create_graph
+    args:
+        type: node # The type of graph to create, one of: node, edge
+        to: <column name> # The name of the column to output the graph to, this will be a graphml graph
+        attributes: # The attributes for the nodes / edges
+            # If using the node type, the following attributes are required:
+            id: <id_column_name>
+
+            # If using the edge type, the following attributes are required:
+            source: <source_column_name>
+            target: <target_column_name>
+
+            # Other attributes can be added as follows:
+            <attribute_name>: <column_name>
+            ... for each attribute
+    ```
+    """
+    if type != "node" and type != "edge":
+        msg = f"Unknown type {type}"
+        raise ValueError(msg)
+
+    input_df = input.get_input()
+    num_total = len(input_df)
+    out_graph: nx.Graph = _create_nx_graph(graph_type)
+
+    in_attributes = (
+        _get_node_attributes(kwargs) if type == "node" else _get_edge_attributes(kwargs)
+    )
+
+    # At this point, _get_node_attributes and _get_edge_attributes have already validated
+    id_col = in_attributes.get(
+        "id", in_attributes.get("label", in_attributes.get("name", None))
+    )
+    source_col = in_attributes.get("source", None)
+    target_col = in_attributes.get("target", None)
+
+    for _, row in progress_iterable(input_df.iterrows(), callbacks.progress, num_total):
+        item_attributes = {
+            clean_str(key): _clean_value(row[value])
+            for key, value in in_attributes.items()
+            if value in row
+        }
+        if type == "node":
+            id = clean_str(row[id_col])
+            out_graph.add_node(id, **item_attributes)
+        elif type == "edge":
+            source = clean_str(row[source_col])
+            target = clean_str(row[target_col])
+            out_graph.add_edge(source, target, **item_attributes)
+
+    graphml_string = "".join(nx.generate_graphml(out_graph))
+    output_df = pd.DataFrame([{to: graphml_string}])
+    return TableContainer(table=output_df)
+
+
+def _clean_value(value: Any) -> str:
+    if value is None:
+        return ""
+    if isinstance(value, str):
+        return clean_str(value)
+
+    msg = f"Value must be a string or None, got {type(value)}"
+    raise TypeError(msg)
+
+
+def _get_node_attributes(args: dict[str, Any]) -> dict[str, Any]:
+    mapping = _get_attribute_column_mapping(
+        args.get("attributes", DEFAULT_NODE_ATTRIBUTES)
+    )
+    if "id" not in mapping and "label" not in mapping and "name" not in mapping:
+        msg = "You must specify an id, label, or name column in the node attributes"
+        raise ValueError(msg)
+    return mapping
+
+
+def _get_edge_attributes(args: dict[str, Any]) -> dict[str, Any]:
+    mapping = _get_attribute_column_mapping(
+        args.get("attributes", DEFAULT_EDGE_ATTRIBUTES)
+    )
+    if "source" not in mapping or "target" not in mapping:
+        msg = "You must specify a source and target column in the edge attributes"
+        raise ValueError(msg)
+    return mapping
+
+
+def _get_attribute_column_mapping(
+    in_attributes: dict[str, Any] | list[str],
+) -> dict[str, str]:
+    # Its already a attribute: column dict
+    if isinstance(in_attributes, dict):
+        return {
+            **in_attributes,
+        }
+
+    return {attrib: attrib for attrib in in_attributes}
+
+
+def _create_nx_graph(graph_type: str) -> nx.Graph:
+    if graph_type == "directed":
+        return nx.DiGraph()
+
+    return nx.Graph()
diff --git a/graphrag/graphrag/index/verbs/graph/embed/__init__.py b/graphrag/graphrag/index/verbs/graph/embed/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..4ca8168c3c706cef211600723b01f680915ea359
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/embed/__init__.py
@@ -0,0 +1,8 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine graph embed package root."""
+
+from .embed_graph import EmbedGraphStrategyType, embed_graph
+
+__all__ = ["EmbedGraphStrategyType", "embed_graph"]
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diff --git a/graphrag/graphrag/index/verbs/graph/embed/embed_graph.py b/graphrag/graphrag/index/verbs/graph/embed/embed_graph.py
new file mode 100644
index 0000000000000000000000000000000000000000..8691d343f07f0dec749f21770b3c0e4c9e131dae
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/embed/embed_graph.py
@@ -0,0 +1,98 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing embed_graph and run_embeddings methods definition."""
+
+from enum import Enum
+from typing import Any, cast
+
+import networkx as nx
+import pandas as pd
+from datashaper import TableContainer, VerbCallbacks, VerbInput, derive_from_rows, verb
+
+from graphrag.index.utils import load_graph
+
+from .typing import NodeEmbeddings
+
+
+class EmbedGraphStrategyType(str, Enum):
+    """EmbedGraphStrategyType class definition."""
+
+    node2vec = "node2vec"
+
+    def __repr__(self):
+        """Get a string representation."""
+        return f'"{self.value}"'
+
+
+@verb(name="embed_graph")
+async def embed_graph(
+    input: VerbInput,
+    callbacks: VerbCallbacks,
+    strategy: dict[str, Any],
+    column: str,
+    to: str,
+    **kwargs,
+) -> TableContainer:
+    """
+    Embed a graph into a vector space. The graph is expected to be in graphml format. The verb outputs a new column containing a mapping between node_id and vector.
+
+    ## Usage
+    ```yaml
+    verb: embed_graph
+    args:
+        column: clustered_graph # The name of the column containing the graph, should be a graphml graph
+        to: embeddings # The name of the column to output the embeddings to
+        strategy: <strategy config> # See strategies section below
+    ```
+
+    ## Strategies
+    The embed_graph verb uses a strategy to embed the graph. The strategy is an object which defines the strategy to use. The following strategies are available:
+
+    ### node2vec
+    This strategy uses the node2vec algorithm to embed a graph. The strategy config is as follows:
+
+    ```yaml
+    strategy:
+        type: node2vec
+        dimensions: 1536 # Optional, The number of dimensions to use for the embedding, default: 1536
+        num_walks: 10 # Optional, The number of walks to use for the embedding, default: 10
+        walk_length: 40 # Optional, The walk length to use for the embedding, default: 40
+        window_size: 2 # Optional, The window size to use for the embedding, default: 2
+        iterations: 3 # Optional, The number of iterations to use for the embedding, default: 3
+        random_seed: 86 # Optional, The random seed to use for the embedding, default: 86
+    ```
+    """
+    output_df = cast(pd.DataFrame, input.get_input())
+
+    strategy_type = strategy.get("type", EmbedGraphStrategyType.node2vec)
+    strategy_args = {**strategy}
+
+    async def run_strategy(row):  # noqa RUF029 async is required for interface
+        return run_embeddings(strategy_type, cast(Any, row[column]), strategy_args)
+
+    results = await derive_from_rows(
+        output_df,
+        run_strategy,
+        callbacks=callbacks,
+        num_threads=kwargs.get("num_threads", None),
+    )
+    output_df[to] = list(results)
+    return TableContainer(table=output_df)
+
+
+def run_embeddings(
+    strategy: EmbedGraphStrategyType,
+    graphml_or_graph: str | nx.Graph,
+    args: dict[str, Any],
+) -> NodeEmbeddings:
+    """Run embeddings method definition."""
+    graph = load_graph(graphml_or_graph)
+    match strategy:
+        case EmbedGraphStrategyType.node2vec:
+            from .strategies.node_2_vec import run as run_node_2_vec
+
+            return run_node_2_vec(graph, args)
+        case _:
+            msg = f"Unknown strategy {strategy}"
+            raise ValueError(msg)
diff --git a/graphrag/graphrag/index/verbs/graph/embed/strategies/__init__.py b/graphrag/graphrag/index/verbs/graph/embed/strategies/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..ef85198eb703a17c281912ff4a069510d8a9f2df
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/embed/strategies/__init__.py
@@ -0,0 +1,4 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Text Embedding strategies."""
diff --git a/graphrag/graphrag/index/verbs/graph/embed/strategies/node_2_vec.py b/graphrag/graphrag/index/verbs/graph/embed/strategies/node_2_vec.py
new file mode 100644
index 0000000000000000000000000000000000000000..eb329519ed9f15759d1bcecc10a051a7353a2f05
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/embed/strategies/node_2_vec.py
@@ -0,0 +1,34 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing run method definition."""
+
+from typing import Any
+
+import networkx as nx
+
+from graphrag.index.graph.embedding import embed_nod2vec
+from graphrag.index.graph.utils import stable_largest_connected_component
+from graphrag.index.verbs.graph.embed.typing import NodeEmbeddings
+
+
+def run(graph: nx.Graph, args: dict[str, Any]) -> NodeEmbeddings:
+    """Run method definition."""
+    if args.get("use_lcc", True):
+        graph = stable_largest_connected_component(graph)
+
+    # create graph embedding using node2vec
+    embeddings = embed_nod2vec(
+        graph=graph,
+        dimensions=args.get("dimensions", 1536),
+        num_walks=args.get("num_walks", 10),
+        walk_length=args.get("walk_length", 40),
+        window_size=args.get("window_size", 2),
+        iterations=args.get("iterations", 3),
+        random_seed=args.get("random_seed", 86),
+    )
+
+    pairs = zip(embeddings.nodes, embeddings.embeddings.tolist(), strict=True)
+    sorted_pairs = sorted(pairs, key=lambda x: x[0])
+
+    return dict(sorted_pairs)
diff --git a/graphrag/graphrag/index/verbs/graph/embed/typing.py b/graphrag/graphrag/index/verbs/graph/embed/typing.py
new file mode 100644
index 0000000000000000000000000000000000000000..fea792c9b1dd294bc886abe2f60efcaa4d3dbdbb
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/embed/typing.py
@@ -0,0 +1,12 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing different lists and dictionaries."""
+
+# Use this for now instead of a wrapper
+from typing import Any
+
+NodeList = list[str]
+EmbeddingList = list[Any]
+NodeEmbeddings = dict[str, list[float]]
+"""Label -> Embedding"""
diff --git a/graphrag/graphrag/index/verbs/graph/layout/__init__.py b/graphrag/graphrag/index/verbs/graph/layout/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..74584f83eda106396817c75e5516aa155ce4e1d7
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/layout/__init__.py
@@ -0,0 +1,8 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine graph layout package root."""
+
+from .layout_graph import layout_graph
+
+__all__ = ["layout_graph"]
diff --git a/graphrag/graphrag/index/verbs/graph/layout/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/index/verbs/graph/layout/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/index/verbs/graph/layout/layout_graph.py b/graphrag/graphrag/index/verbs/graph/layout/layout_graph.py
new file mode 100644
index 0000000000000000000000000000000000000000..e1b55b1183f5718a0d63ef52a07b86771976c34d
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/layout/layout_graph.py
@@ -0,0 +1,139 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing layout_graph, _run_layout and _apply_layout_to_graph methods definition."""
+
+from enum import Enum
+from typing import Any, cast
+
+import networkx as nx
+import pandas as pd
+from datashaper import TableContainer, VerbCallbacks, VerbInput, progress_callback, verb
+
+from graphrag.index.graph.visualization import GraphLayout
+from graphrag.index.utils import load_graph
+from graphrag.index.verbs.graph.embed.typing import NodeEmbeddings
+
+
+class LayoutGraphStrategyType(str, Enum):
+    """LayoutGraphStrategyType class definition."""
+
+    umap = "umap"
+    zero = "zero"
+
+    def __repr__(self):
+        """Get a string representation."""
+        return f'"{self.value}"'
+
+
+@verb(name="layout_graph")
+def layout_graph(
+    input: VerbInput,
+    callbacks: VerbCallbacks,
+    strategy: dict[str, Any],
+    embeddings_column: str,
+    graph_column: str,
+    to: str,
+    graph_to: str | None = None,
+    **_kwargs: dict,
+) -> TableContainer:
+    """
+    Apply a layout algorithm to a graph. The graph is expected to be in graphml format. The verb outputs a new column containing the laid out graph.
+
+    ## Usage
+    ```yaml
+    verb: layout_graph
+    args:
+        graph_column: clustered_graph # The name of the column containing the graph, should be a graphml graph
+        embeddings_column: embeddings # The name of the column containing the embeddings
+        to: node_positions # The name of the column to output the node positions to
+        graph_to: positioned_graph # The name of the column to output the positioned graph to
+        strategy: <strategy config> # See strategies section below
+    ```
+
+    ## Strategies
+    The layout graph verb uses a strategy to layout the graph. The strategy is a json object which defines the strategy to use. The following strategies are available:
+
+    ### umap
+    This strategy uses the umap algorithm to layout a graph. The strategy config is as follows:
+    ```yaml
+    strategy:
+        type: umap
+        n_neighbors: 5 # Optional, The number of neighbors to use for the umap algorithm, default: 5
+        min_dist: 0.75 # Optional, The min distance to use for the umap algorithm, default: 0.75
+    ```
+    """
+    output_df = cast(pd.DataFrame, input.get_input())
+
+    num_items = len(output_df)
+    strategy_type = strategy.get("type", LayoutGraphStrategyType.umap)
+    strategy_args = {**strategy}
+
+    has_embeddings = embeddings_column in output_df.columns
+
+    layouts = output_df.apply(
+        progress_callback(
+            lambda row: _run_layout(
+                strategy_type,
+                row[graph_column],
+                row[embeddings_column] if has_embeddings else {},
+                strategy_args,
+                callbacks,
+            ),
+            callbacks.progress,
+            num_items,
+        ),
+        axis=1,
+    )
+    output_df[to] = layouts.apply(lambda layout: [pos.to_pandas() for pos in layout])
+    if graph_to is not None:
+        output_df[graph_to] = output_df.apply(
+            lambda row: _apply_layout_to_graph(
+                row[graph_column], cast(GraphLayout, layouts[row.name])
+            ),
+            axis=1,
+        )
+    return TableContainer(table=output_df)
+
+
+def _run_layout(
+    strategy: LayoutGraphStrategyType,
+    graphml_or_graph: str | nx.Graph,
+    embeddings: NodeEmbeddings,
+    args: dict[str, Any],
+    reporter: VerbCallbacks,
+) -> GraphLayout:
+    graph = load_graph(graphml_or_graph)
+    match strategy:
+        case LayoutGraphStrategyType.umap:
+            from .methods.umap import run as run_umap
+
+            return run_umap(
+                graph,
+                embeddings,
+                args,
+                lambda e, stack, d: reporter.error("Error in Umap", e, stack, d),
+            )
+        case LayoutGraphStrategyType.zero:
+            from .methods.zero import run as run_zero
+
+            return run_zero(
+                graph,
+                args,
+                lambda e, stack, d: reporter.error("Error in Zero", e, stack, d),
+            )
+        case _:
+            msg = f"Unknown strategy {strategy}"
+            raise ValueError(msg)
+
+
+def _apply_layout_to_graph(
+    graphml_or_graph: str | nx.Graph, layout: GraphLayout
+) -> str:
+    graph = load_graph(graphml_or_graph)
+    for node_position in layout:
+        if node_position.label in graph.nodes:
+            graph.nodes[node_position.label]["x"] = node_position.x
+            graph.nodes[node_position.label]["y"] = node_position.y
+            graph.nodes[node_position.label]["size"] = node_position.size
+    return "\n".join(nx.generate_graphml(graph))
diff --git a/graphrag/graphrag/index/verbs/graph/layout/methods/__init__.py b/graphrag/graphrag/index/verbs/graph/layout/methods/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..5d5054122b71941f650a935b9e4f34a94056228d
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/layout/methods/__init__.py
@@ -0,0 +1,4 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Graph Layout Methods."""
diff --git a/graphrag/graphrag/index/verbs/graph/layout/methods/umap.py b/graphrag/graphrag/index/verbs/graph/layout/methods/umap.py
new file mode 100644
index 0000000000000000000000000000000000000000..a4bc7c2818561c16d0b92c6356b6fae79b16d0a7
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/layout/methods/umap.py
@@ -0,0 +1,82 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing run and _create_node_position methods definitions."""
+
+import logging
+import traceback
+from typing import Any
+
+import networkx as nx
+import numpy as np
+
+from graphrag.index.graph.visualization import (
+    GraphLayout,
+    NodePosition,
+    compute_umap_positions,
+)
+from graphrag.index.typing import ErrorHandlerFn
+from graphrag.index.verbs.graph.embed.typing import NodeEmbeddings
+
+# TODO: This could be handled more elegantly, like what columns to use
+# for "size" or "cluster"
+# We could also have a boolean to indicate to use node sizes or clusters
+
+log = logging.getLogger(__name__)
+
+
+def run(
+    graph: nx.Graph,
+    embeddings: NodeEmbeddings,
+    args: dict[str, Any],
+    on_error: ErrorHandlerFn,
+) -> GraphLayout:
+    """Run method definition."""
+    node_clusters = []
+    node_sizes = []
+
+    embeddings = _filter_raw_embeddings(embeddings)
+    nodes = list(embeddings.keys())
+    embedding_vectors = [embeddings[node_id] for node_id in nodes]
+
+    for node_id in nodes:
+        node = graph.nodes[node_id]
+        cluster = node.get("cluster", node.get("community", -1))
+        node_clusters.append(cluster)
+        size = node.get("degree", node.get("size", 0))
+        node_sizes.append(size)
+
+    additional_args = {}
+    if len(node_clusters) > 0:
+        additional_args["node_categories"] = node_clusters
+    if len(node_sizes) > 0:
+        additional_args["node_sizes"] = node_sizes
+
+    try:
+        return compute_umap_positions(
+            embedding_vectors=np.array(embedding_vectors),
+            node_labels=nodes,
+            **additional_args,
+            min_dist=args.get("min_dist", 0.75),
+            n_neighbors=args.get("n_neighbors", 5),
+        )
+    except Exception as e:
+        log.exception("Error running UMAP")
+        on_error(e, traceback.format_exc(), None)
+        # Umap may fail due to input sparseness or memory pressure.
+        # For now, in these cases, we'll just return a layout with all nodes at (0, 0)
+        result = []
+        for i in range(len(nodes)):
+            cluster = node_clusters[i] if len(node_clusters) > 0 else 1
+            result.append(
+                NodePosition(x=0, y=0, label=nodes[i], size=0, cluster=str(cluster))
+            )
+        return result
+
+
+def _filter_raw_embeddings(embeddings: NodeEmbeddings) -> NodeEmbeddings:
+    return {
+        node_id: embedding
+        for node_id, embedding in embeddings.items()
+        if embedding is not None
+    }
diff --git a/graphrag/graphrag/index/verbs/graph/layout/methods/zero.py b/graphrag/graphrag/index/verbs/graph/layout/methods/zero.py
new file mode 100644
index 0000000000000000000000000000000000000000..f41d2d4ca4bb7df98291c568b7c3bd009ec51a86
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/layout/methods/zero.py
@@ -0,0 +1,63 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing run and _create_node_position methods definitions."""
+
+import logging
+import traceback
+from typing import Any
+
+import networkx as nx
+
+from graphrag.index.graph.visualization import (
+    GraphLayout,
+    NodePosition,
+    get_zero_positions,
+)
+from graphrag.index.typing import ErrorHandlerFn
+
+# TODO: This could be handled more elegantly, like what columns to use
+# for "size" or "cluster"
+# We could also have a boolean to indicate to use node sizes or clusters
+
+log = logging.getLogger(__name__)
+
+
+def run(
+    graph: nx.Graph,
+    _args: dict[str, Any],
+    on_error: ErrorHandlerFn,
+) -> GraphLayout:
+    """Run method definition."""
+    node_clusters = []
+    node_sizes = []
+
+    nodes = list(graph.nodes)
+
+    for node_id in nodes:
+        node = graph.nodes[node_id]
+        cluster = node.get("cluster", node.get("community", -1))
+        node_clusters.append(cluster)
+        size = node.get("degree", node.get("size", 0))
+        node_sizes.append(size)
+
+    additional_args = {}
+    if len(node_clusters) > 0:
+        additional_args["node_categories"] = node_clusters
+    if len(node_sizes) > 0:
+        additional_args["node_sizes"] = node_sizes
+
+    try:
+        return get_zero_positions(node_labels=nodes, **additional_args)
+    except Exception as e:
+        log.exception("Error running zero-position")
+        on_error(e, traceback.format_exc(), None)
+        # Umap may fail due to input sparseness or memory pressure.
+        # For now, in these cases, we'll just return a layout with all nodes at (0, 0)
+        result = []
+        for i in range(len(nodes)):
+            cluster = node_clusters[i] if len(node_clusters) > 0 else 1
+            result.append(
+                NodePosition(x=0, y=0, label=nodes[i], size=0, cluster=str(cluster))
+            )
+        return result
diff --git a/graphrag/graphrag/index/verbs/graph/merge/__init__.py b/graphrag/graphrag/index/verbs/graph/merge/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..f718827942b36bb63b01d497076bc2fb589c1b37
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/merge/__init__.py
@@ -0,0 +1,8 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine graph merge package root."""
+
+from .merge_graphs import merge_graphs
+
+__all__ = ["merge_graphs"]
diff --git a/graphrag/graphrag/index/verbs/graph/merge/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/index/verbs/graph/merge/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/index/verbs/graph/merge/defaults.py b/graphrag/graphrag/index/verbs/graph/merge/defaults.py
new file mode 100644
index 0000000000000000000000000000000000000000..80c60331c6681f747a927b96ffba8457879c216a
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/merge/defaults.py
@@ -0,0 +1,21 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A file containing DEFAULT_NODE_OPERATIONS, DEFAULT_EDGE_OPERATIONS and DEFAULT_CONCAT_SEPARATOR values definition."""
+
+from .typing import BasicMergeOperation
+
+DEFAULT_NODE_OPERATIONS = {
+    "*": {
+        "operation": BasicMergeOperation.Replace,
+    }
+}
+
+DEFAULT_EDGE_OPERATIONS = {
+    "*": {
+        "operation": BasicMergeOperation.Replace,
+    },
+    "weight": "sum",
+}
+
+DEFAULT_CONCAT_SEPARATOR = ","
diff --git a/graphrag/graphrag/index/verbs/graph/merge/merge_graphs.py b/graphrag/graphrag/index/verbs/graph/merge/merge_graphs.py
new file mode 100644
index 0000000000000000000000000000000000000000..8ab3fa47f70af74493ff49e100b8fc150adddcef
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/merge/merge_graphs.py
@@ -0,0 +1,217 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing merge_graphs, merge_nodes, merge_edges, merge_attributes, apply_merge_operation and _get_detailed_attribute_merge_operation methods definitions."""
+
+from typing import Any, cast
+
+import networkx as nx
+import pandas as pd
+from datashaper import TableContainer, VerbCallbacks, VerbInput, progress_iterable, verb
+
+from graphrag.index.utils import load_graph
+
+from .defaults import (
+    DEFAULT_CONCAT_SEPARATOR,
+    DEFAULT_EDGE_OPERATIONS,
+    DEFAULT_NODE_OPERATIONS,
+)
+from .typing import (
+    BasicMergeOperation,
+    DetailedAttributeMergeOperation,
+    NumericOperation,
+    StringOperation,
+)
+
+
+@verb(name="merge_graphs")
+def merge_graphs(
+    input: VerbInput,
+    callbacks: VerbCallbacks,
+    column: str,
+    to: str,
+    nodes: dict[str, Any] = DEFAULT_NODE_OPERATIONS,
+    edges: dict[str, Any] = DEFAULT_EDGE_OPERATIONS,
+    **_kwargs,
+) -> TableContainer:
+    """
+    Merge multiple graphs together. The graphs are expected to be in graphml format. The verb outputs a new column containing the merged graph.
+
+    > Note: This will merge all rows into a single graph.
+
+    ## Usage
+    ```yaml
+    verb: merge_graph
+    args:
+        column: clustered_graph # The name of the column containing the graph, should be a graphml graph
+        to: merged_graph # The name of the column to output the merged graph to
+        nodes: <node operations> # See node operations section below
+        edges: <edge operations> # See edge operations section below
+    ```
+
+    ## Node Operations
+    The merge graph verb can perform operations on the nodes of the graph.
+
+    ### Usage
+    ```yaml
+    nodes:
+        <attribute name>: <operation>
+        ... for each attribute or use the special value "*" for all attributes
+    ```
+
+    ## Edge Operations
+    The merge graph verb can perform operations on the nodes of the graph.
+
+    ### Usage
+    ```yaml
+    edges:
+        <attribute name>: <operation>
+        ... for each attribute or use the special value "*" for all attributes
+    ```
+
+    ## Operations
+    The merge graph verb can perform operations on the nodes and edges of the graph. The following operations are available:
+
+    - __replace__: This operation replaces the attribute with the last value seen.
+    - __skip__: This operation skips the attribute, and just uses the first value seen.
+    - __concat__: This operation concatenates the attribute with the last value seen.
+    - __sum__: This operation sums the attribute with the last value seen.
+    - __max__: This operation takes the max of the attribute with the last value seen.
+    max
+    - __min__: This operation takes the min of the attribute with the last value seen.
+    - __average__: This operation takes the mean of the attribute with the last value seen.
+    - __multiply__: This operation multiplies the attribute with the last value seen.
+    """
+    input_df = input.get_input()
+    output = pd.DataFrame()
+
+    node_ops = {
+        attrib: _get_detailed_attribute_merge_operation(value)
+        for attrib, value in nodes.items()
+    }
+    edge_ops = {
+        attrib: _get_detailed_attribute_merge_operation(value)
+        for attrib, value in edges.items()
+    }
+
+    mega_graph = nx.Graph()
+    num_total = len(input_df)
+    for graphml in progress_iterable(input_df[column], callbacks.progress, num_total):
+        graph = load_graph(cast(str | nx.Graph, graphml))
+        merge_nodes(mega_graph, graph, node_ops)
+        merge_edges(mega_graph, graph, edge_ops)
+
+    output[to] = ["\n".join(nx.generate_graphml(mega_graph))]
+
+    return TableContainer(table=output)
+
+
+def merge_nodes(
+    target: nx.Graph,
+    subgraph: nx.Graph,
+    node_ops: dict[str, DetailedAttributeMergeOperation],
+):
+    """Merge nodes from subgraph into target using the operations defined in node_ops."""
+    for node in subgraph.nodes:
+        if node not in target.nodes:
+            target.add_node(node, **(subgraph.nodes[node] or {}))
+        else:
+            merge_attributes(target.nodes[node], subgraph.nodes[node], node_ops)
+
+
+def merge_edges(
+    target_graph: nx.Graph,
+    subgraph: nx.Graph,
+    edge_ops: dict[str, DetailedAttributeMergeOperation],
+):
+    """Merge edges from subgraph into target using the operations defined in edge_ops."""
+    for source, target, edge_data in subgraph.edges(data=True):  # type: ignore
+        if not target_graph.has_edge(source, target):
+            target_graph.add_edge(source, target, **(edge_data or {}))
+        else:
+            merge_attributes(target_graph.edges[(source, target)], edge_data, edge_ops)
+
+
+def merge_attributes(
+    target_item: dict[str, Any] | None,
+    source_item: dict[str, Any] | None,
+    ops: dict[str, DetailedAttributeMergeOperation],
+):
+    """Merge attributes from source_item into target_item using the operations defined in ops."""
+    source_item = source_item or {}
+    target_item = target_item or {}
+    for op_attrib, op in ops.items():
+        if op_attrib == "*":
+            for attrib in source_item:
+                # If there is a specific handler for this attribute, use it
+                # i.e. * provides a default, but you can override it
+                if attrib not in ops:
+                    apply_merge_operation(target_item, source_item, attrib, op)
+        else:
+            if op_attrib in source_item or op_attrib in target_item:
+                apply_merge_operation(target_item, source_item, op_attrib, op)
+
+
+def apply_merge_operation(
+    target_item: dict[str, Any] | None,
+    source_item: dict[str, Any] | None,
+    attrib: str,
+    op: DetailedAttributeMergeOperation,
+):
+    """Apply the merge operation to the attribute."""
+    source_item = source_item or {}
+    target_item = target_item or {}
+
+    if (
+        op.operation == BasicMergeOperation.Replace
+        or op.operation == StringOperation.Replace
+    ):
+        target_item[attrib] = source_item.get(attrib, None) or ""
+    elif (
+        op.operation == BasicMergeOperation.Skip or op.operation == StringOperation.Skip
+    ):
+        target_item[attrib] = target_item.get(attrib, None) or ""
+    elif op.operation == StringOperation.Concat:
+        separator = op.separator or DEFAULT_CONCAT_SEPARATOR
+        target_attrib = target_item.get(attrib, "") or ""
+        source_attrib = source_item.get(attrib, "") or ""
+        target_item[attrib] = f"{target_attrib}{separator}{source_attrib}"
+        if op.distinct:
+            # TODO: Slow
+            target_item[attrib] = separator.join(
+                sorted(set(target_item[attrib].split(separator)))
+            )
+
+    # We're assuming that the attribute is numeric
+    elif op.operation == NumericOperation.Sum:
+        target_item[attrib] = (target_item.get(attrib, 0) or 0) + (
+            source_item.get(attrib, 0) or 0
+        )
+    elif op.operation == NumericOperation.Average:
+        target_item[attrib] = (
+            (target_item.get(attrib, 0) or 0) + (source_item.get(attrib, 0) or 0)
+        ) / 2
+    elif op.operation == NumericOperation.Max:
+        target_item[attrib] = max(
+            (target_item.get(attrib, 0) or 0), (source_item.get(attrib, 0) or 0)
+        )
+    elif op.operation == NumericOperation.Min:
+        target_item[attrib] = min(
+            (target_item.get(attrib, 0) or 0), (source_item.get(attrib, 0) or 0)
+        )
+    elif op.operation == NumericOperation.Multiply:
+        target_item[attrib] = (target_item.get(attrib, 1) or 1) * (
+            source_item.get(attrib, 1) or 1
+        )
+    else:
+        msg = f"Invalid operation {op.operation}"
+        raise ValueError(msg)
+
+
+def _get_detailed_attribute_merge_operation(
+    value: str | dict[str, Any],
+) -> DetailedAttributeMergeOperation:
+    """Normalize the AttributeMergeOperation into a DetailedAttributeMergeOperation."""
+    if isinstance(value, str):
+        return DetailedAttributeMergeOperation(operation=value)
+    return DetailedAttributeMergeOperation(**value)
diff --git a/graphrag/graphrag/index/verbs/graph/merge/typing.py b/graphrag/graphrag/index/verbs/graph/merge/typing.py
new file mode 100644
index 0000000000000000000000000000000000000000..0e534f516c580f17e6eede592f4d38173de3b960
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/merge/typing.py
@@ -0,0 +1,49 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'BasicMergeOperation', 'StringOperation', 'NumericOperation' and 'DetailedAttributeMergeOperation' models."""
+
+from dataclasses import dataclass
+from enum import Enum
+
+
+class BasicMergeOperation(str, Enum):
+    """Basic Merge Operation class definition."""
+
+    Replace = "replace"
+    Skip = "skip"
+
+
+class StringOperation(str, Enum):
+    """String Operation class definition."""
+
+    Concat = "concat"
+    Replace = "replace"
+    Skip = "skip"
+
+
+class NumericOperation(str, Enum):
+    """Numeric Operation class definition."""
+
+    Sum = "sum"
+    Average = "average"
+    Max = "max"
+    Min = "min"
+    Multiply = "multiply"
+    Replace = "replace"
+    Skip = "skip"
+
+
+@dataclass
+class DetailedAttributeMergeOperation:
+    """Detailed attribute merge operation class definition."""
+
+    operation: str  # StringOperation | NumericOperation
+
+    # concat
+    separator: str | None = None
+    delimiter: str | None = None
+    distinct: bool = False
+
+
+AttributeMergeOperation = str | DetailedAttributeMergeOperation
diff --git a/graphrag/graphrag/index/verbs/graph/report/__init__.py b/graphrag/graphrag/index/verbs/graph/report/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e47d9ccef5fa3f34b00efa477dcbcfbd51b3911a
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/report/__init__.py
@@ -0,0 +1,25 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine graph report package root."""
+
+from .create_community_reports import (
+    CreateCommunityReportsStrategyType,
+    create_community_reports,
+)
+from .prepare_community_reports import prepare_community_reports
+from .prepare_community_reports_claims import prepare_community_reports_claims
+from .prepare_community_reports_edges import prepare_community_reports_edges
+from .prepare_community_reports_nodes import prepare_community_reports_nodes
+from .restore_community_hierarchy import restore_community_hierarchy
+
+__all__ = [
+    "CreateCommunityReportsStrategyType",
+    "create_community_reports",
+    "create_community_reports",
+    "prepare_community_reports",
+    "prepare_community_reports_claims",
+    "prepare_community_reports_edges",
+    "prepare_community_reports_nodes",
+    "restore_community_hierarchy",
+]
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diff --git a/graphrag/graphrag/index/verbs/graph/report/create_community_reports.py b/graphrag/graphrag/index/verbs/graph/report/create_community_reports.py
new file mode 100644
index 0000000000000000000000000000000000000000..c67d5107e8fe3f8d1d5575152b306d933d0c9922
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/report/create_community_reports.py
@@ -0,0 +1,131 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing create_community_reports and load_strategy methods definition."""
+
+import logging
+from enum import Enum
+from typing import cast
+
+import pandas as pd
+from datashaper import (
+    AsyncType,
+    NoopVerbCallbacks,
+    TableContainer,
+    VerbCallbacks,
+    VerbInput,
+    derive_from_rows,
+    progress_ticker,
+    verb,
+)
+
+import graphrag.config.defaults as defaults
+import graphrag.index.graph.extractors.community_reports.schemas as schemas
+from graphrag.index.cache import PipelineCache
+from graphrag.index.graph.extractors.community_reports import (
+    get_levels,
+    prep_community_report_context,
+)
+from graphrag.index.utils.ds_util import get_required_input_table
+
+from .strategies.typing import CommunityReport, CommunityReportsStrategy
+
+log = logging.getLogger(__name__)
+
+
+class CreateCommunityReportsStrategyType(str, Enum):
+    """CreateCommunityReportsStrategyType class definition."""
+
+    graph_intelligence = "graph_intelligence"
+
+    def __repr__(self):
+        """Get a string representation."""
+        return f'"{self.value}"'
+
+
+@verb(name="create_community_reports")
+async def create_community_reports(
+    input: VerbInput,
+    callbacks: VerbCallbacks,
+    cache: PipelineCache,
+    strategy: dict,
+    async_mode: AsyncType = AsyncType.AsyncIO,
+    num_threads: int = 4,
+    **_kwargs,
+) -> TableContainer:
+    """Generate entities for each row, and optionally a graph of those entities."""
+    log.debug("create_community_reports strategy=%s", strategy)
+    local_contexts = cast(pd.DataFrame, input.get_input())
+    nodes_ctr = get_required_input_table(input, "nodes")
+    nodes = cast(pd.DataFrame, nodes_ctr.table)
+    community_hierarchy_ctr = get_required_input_table(input, "community_hierarchy")
+    community_hierarchy = cast(pd.DataFrame, community_hierarchy_ctr.table)
+
+    levels = get_levels(nodes)
+    reports: list[CommunityReport | None] = []
+    tick = progress_ticker(callbacks.progress, len(local_contexts))
+    runner = load_strategy(strategy["type"])
+
+    for level in levels:
+        level_contexts = prep_community_report_context(
+            pd.DataFrame(reports),
+            local_context_df=local_contexts,
+            community_hierarchy_df=community_hierarchy,
+            level=level,
+            max_tokens=strategy.get(
+                "max_input_tokens", defaults.COMMUNITY_REPORT_MAX_INPUT_LENGTH
+            ),
+        )
+
+        async def run_generate(record):
+            result = await _generate_report(
+                runner,
+                community_id=record[schemas.NODE_COMMUNITY],
+                community_level=record[schemas.COMMUNITY_LEVEL],
+                community_context=record[schemas.CONTEXT_STRING],
+                cache=cache,
+                callbacks=callbacks,
+                strategy=strategy,
+            )
+            tick()
+            return result
+
+        local_reports = await derive_from_rows(
+            level_contexts,
+            run_generate,
+            callbacks=NoopVerbCallbacks(),
+            num_threads=num_threads,
+            scheduling_type=async_mode,
+        )
+        reports.extend([lr for lr in local_reports if lr is not None])
+
+    return TableContainer(table=pd.DataFrame(reports))
+
+
+async def _generate_report(
+    runner: CommunityReportsStrategy,
+    cache: PipelineCache,
+    callbacks: VerbCallbacks,
+    strategy: dict,
+    community_id: int | str,
+    community_level: int,
+    community_context: str,
+) -> CommunityReport | None:
+    """Generate a report for a single community."""
+    return await runner(
+        community_id, community_context, community_level, callbacks, cache, strategy
+    )
+
+
+def load_strategy(
+    strategy: CreateCommunityReportsStrategyType,
+) -> CommunityReportsStrategy:
+    """Load strategy method definition."""
+    match strategy:
+        case CreateCommunityReportsStrategyType.graph_intelligence:
+            from .strategies.graph_intelligence import run
+
+            return run
+        case _:
+            msg = f"Unknown strategy: {strategy}"
+            raise ValueError(msg)
diff --git a/graphrag/graphrag/index/verbs/graph/report/prepare_community_reports.py b/graphrag/graphrag/index/verbs/graph/report/prepare_community_reports.py
new file mode 100644
index 0000000000000000000000000000000000000000..3c9ebd451adbd816848e4ee8d730e5469b6ed476
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/report/prepare_community_reports.py
@@ -0,0 +1,187 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing create_community_reports and load_strategy methods definition."""
+
+import logging
+from typing import cast
+
+import pandas as pd
+from datashaper import (
+    TableContainer,
+    VerbCallbacks,
+    VerbInput,
+    progress_iterable,
+    verb,
+)
+
+import graphrag.index.graph.extractors.community_reports.schemas as schemas
+from graphrag.index.graph.extractors.community_reports import (
+    filter_claims_to_nodes,
+    filter_edges_to_nodes,
+    filter_nodes_to_level,
+    get_levels,
+    set_context_exceeds_flag,
+    set_context_size,
+    sort_context,
+)
+from graphrag.index.utils.ds_util import get_named_input_table, get_required_input_table
+
+log = logging.getLogger(__name__)
+
+
+@verb(name="prepare_community_reports")
+def prepare_community_reports(
+    input: VerbInput,
+    callbacks: VerbCallbacks,
+    max_tokens: int = 16_000,
+    **_kwargs,
+) -> TableContainer:
+    """Generate entities for each row, and optionally a graph of those entities."""
+    # Prepare Community Reports
+    node_df = cast(pd.DataFrame, get_required_input_table(input, "nodes").table)
+    edge_df = cast(pd.DataFrame, get_required_input_table(input, "edges").table)
+    claim_df = get_named_input_table(input, "claims")
+    if claim_df is not None:
+        claim_df = cast(pd.DataFrame, claim_df.table)
+
+    levels = get_levels(node_df, schemas.NODE_LEVEL)
+    dfs = []
+
+    for level in progress_iterable(levels, callbacks.progress, len(levels)):
+        communities_at_level_df = _prepare_reports_at_level(
+            node_df, edge_df, claim_df, level, max_tokens
+        )
+        dfs.append(communities_at_level_df)
+
+    # build initial local context for all communities
+    return TableContainer(table=pd.concat(dfs))
+
+
+def _prepare_reports_at_level(
+    node_df: pd.DataFrame,
+    edge_df: pd.DataFrame,
+    claim_df: pd.DataFrame | None,
+    level: int,
+    max_tokens: int = 16_000,
+    community_id_column: str = schemas.COMMUNITY_ID,
+    node_id_column: str = schemas.NODE_ID,
+    node_name_column: str = schemas.NODE_NAME,
+    node_details_column: str = schemas.NODE_DETAILS,
+    node_level_column: str = schemas.NODE_LEVEL,
+    node_degree_column: str = schemas.NODE_DEGREE,
+    node_community_column: str = schemas.NODE_COMMUNITY,
+    edge_id_column: str = schemas.EDGE_ID,
+    edge_source_column: str = schemas.EDGE_SOURCE,
+    edge_target_column: str = schemas.EDGE_TARGET,
+    edge_degree_column: str = schemas.EDGE_DEGREE,
+    edge_details_column: str = schemas.EDGE_DETAILS,
+    claim_id_column: str = schemas.CLAIM_ID,
+    claim_subject_column: str = schemas.CLAIM_SUBJECT,
+    claim_details_column: str = schemas.CLAIM_DETAILS,
+):
+    def get_edge_details(node_df: pd.DataFrame, edge_df: pd.DataFrame, name_col: str):
+        return node_df.merge(
+            cast(
+                pd.DataFrame,
+                edge_df[[name_col, schemas.EDGE_DETAILS]],
+            ).rename(columns={name_col: schemas.NODE_NAME}),
+            on=schemas.NODE_NAME,
+            how="left",
+        )
+
+    level_node_df = filter_nodes_to_level(node_df, level)
+    log.info("Number of nodes at level=%s => %s", level, len(level_node_df))
+    nodes = level_node_df[node_name_column].tolist()
+
+    # Filter edges & claims to those containing the target nodes
+    level_edge_df = filter_edges_to_nodes(edge_df, nodes)
+    level_claim_df = (
+        filter_claims_to_nodes(claim_df, nodes) if claim_df is not None else None
+    )
+
+    # concat all edge details per node
+    merged_node_df = pd.concat(
+        [
+            get_edge_details(level_node_df, level_edge_df, edge_source_column),
+            get_edge_details(level_node_df, level_edge_df, edge_target_column),
+        ],
+        axis=0,
+    )
+    merged_node_df = (
+        merged_node_df.groupby([
+            node_name_column,
+            node_community_column,
+            node_degree_column,
+            node_level_column,
+        ])
+        .agg({node_details_column: "first", edge_details_column: list})
+        .reset_index()
+    )
+
+    # concat claim details per node
+    if level_claim_df is not None:
+        merged_node_df = merged_node_df.merge(
+            cast(
+                pd.DataFrame,
+                level_claim_df[[claim_subject_column, claim_details_column]],
+            ).rename(columns={claim_subject_column: node_name_column}),
+            on=node_name_column,
+            how="left",
+        )
+    merged_node_df = (
+        merged_node_df.groupby([
+            node_name_column,
+            node_community_column,
+            node_level_column,
+            node_degree_column,
+        ])
+        .agg({
+            node_details_column: "first",
+            edge_details_column: "first",
+            **({claim_details_column: list} if level_claim_df is not None else {}),
+        })
+        .reset_index()
+    )
+
+    # concat all node details, including name, degree, node_details, edge_details, and claim_details
+    merged_node_df[schemas.ALL_CONTEXT] = merged_node_df.apply(
+        lambda x: {
+            node_name_column: x[node_name_column],
+            node_degree_column: x[node_degree_column],
+            node_details_column: x[node_details_column],
+            edge_details_column: x[edge_details_column],
+            claim_details_column: x[claim_details_column]
+            if level_claim_df is not None
+            else [],
+        },
+        axis=1,
+    )
+
+    # group all node details by community
+    community_df = (
+        merged_node_df.groupby(node_community_column)
+        .agg({schemas.ALL_CONTEXT: list})
+        .reset_index()
+    )
+    community_df[schemas.CONTEXT_STRING] = community_df[schemas.ALL_CONTEXT].apply(
+        lambda x: sort_context(
+            x,
+            node_id_column=node_id_column,
+            node_name_column=node_name_column,
+            node_details_column=node_details_column,
+            edge_id_column=edge_id_column,
+            edge_details_column=edge_details_column,
+            edge_degree_column=edge_degree_column,
+            edge_source_column=edge_source_column,
+            edge_target_column=edge_target_column,
+            claim_id_column=claim_id_column,
+            claim_details_column=claim_details_column,
+            community_id_column=community_id_column,
+        )
+    )
+    set_context_size(community_df)
+    set_context_exceeds_flag(community_df, max_tokens)
+
+    community_df[schemas.COMMUNITY_LEVEL] = level
+    return community_df
diff --git a/graphrag/graphrag/index/verbs/graph/report/prepare_community_reports_claims.py b/graphrag/graphrag/index/verbs/graph/report/prepare_community_reports_claims.py
new file mode 100644
index 0000000000000000000000000000000000000000..aa9a790772d5517611a8f7541894c9cd5bc8408b
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/report/prepare_community_reports_claims.py
@@ -0,0 +1,50 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing create_graph, _get_node_attributes, _get_edge_attributes and _get_attribute_column_mapping methods definition."""
+
+from typing import cast
+
+import pandas as pd
+from datashaper import TableContainer, VerbInput, verb
+
+from graphrag.index.graph.extractors.community_reports.schemas import (
+    CLAIM_DESCRIPTION,
+    CLAIM_DETAILS,
+    CLAIM_ID,
+    CLAIM_STATUS,
+    CLAIM_SUBJECT,
+    CLAIM_TYPE,
+)
+
+_MISSING_DESCRIPTION = "No Description"
+
+
+@verb(name="prepare_community_reports_claims")
+def prepare_community_reports_claims(
+    input: VerbInput,
+    to: str = CLAIM_DETAILS,
+    id_column: str = CLAIM_ID,
+    description_column: str = CLAIM_DESCRIPTION,
+    subject_column: str = CLAIM_SUBJECT,
+    type_column: str = CLAIM_TYPE,
+    status_column: str = CLAIM_STATUS,
+    **_kwargs,
+) -> TableContainer:
+    """Merge claim details into an object."""
+    claim_df: pd.DataFrame = cast(pd.DataFrame, input.get_input())
+    claim_df = claim_df.fillna(value={description_column: _MISSING_DESCRIPTION})
+
+    # merge values of five columns into a map column
+    claim_df[to] = claim_df.apply(
+        lambda x: {
+            id_column: x[id_column],
+            subject_column: x[subject_column],
+            type_column: x[type_column],
+            status_column: x[status_column],
+            description_column: x[description_column],
+        },
+        axis=1,
+    )
+
+    return TableContainer(table=claim_df)
diff --git a/graphrag/graphrag/index/verbs/graph/report/prepare_community_reports_edges.py b/graphrag/graphrag/index/verbs/graph/report/prepare_community_reports_edges.py
new file mode 100644
index 0000000000000000000000000000000000000000..b568aba00666ce7d43f93dc93fd1a23a5daf76ea
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/report/prepare_community_reports_edges.py
@@ -0,0 +1,48 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing create_graph, _get_node_attributes, _get_edge_attributes and _get_attribute_column_mapping methods definition."""
+
+from typing import cast
+
+import pandas as pd
+from datashaper import TableContainer, VerbInput, verb
+
+from graphrag.index.graph.extractors.community_reports.schemas import (
+    EDGE_DEGREE,
+    EDGE_DESCRIPTION,
+    EDGE_DETAILS,
+    EDGE_ID,
+    EDGE_SOURCE,
+    EDGE_TARGET,
+)
+
+_MISSING_DESCRIPTION = "No Description"
+
+
+@verb(name="prepare_community_reports_edges")
+def prepare_community_reports_edges(
+    input: VerbInput,
+    to: str = EDGE_DETAILS,
+    id_column: str = EDGE_ID,
+    source_column: str = EDGE_SOURCE,
+    target_column: str = EDGE_TARGET,
+    description_column: str = EDGE_DESCRIPTION,
+    degree_column: str = EDGE_DEGREE,
+    **_kwargs,
+) -> TableContainer:
+    """Merge edge details into an object."""
+    edge_df: pd.DataFrame = cast(pd.DataFrame, input.get_input()).fillna(
+        value={description_column: _MISSING_DESCRIPTION}
+    )
+    edge_df[to] = edge_df.apply(
+        lambda x: {
+            id_column: x[id_column],
+            source_column: x[source_column],
+            target_column: x[target_column],
+            description_column: x[description_column],
+            degree_column: x[degree_column],
+        },
+        axis=1,
+    )
+    return TableContainer(table=edge_df)
diff --git a/graphrag/graphrag/index/verbs/graph/report/prepare_community_reports_nodes.py b/graphrag/graphrag/index/verbs/graph/report/prepare_community_reports_nodes.py
new file mode 100644
index 0000000000000000000000000000000000000000..f159c125eee75f06dff0dc0e7e957b06f14143e1
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/report/prepare_community_reports_nodes.py
@@ -0,0 +1,46 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing create_graph, _get_node_attributes, _get_edge_attributes and _get_attribute_column_mapping methods definition."""
+
+from typing import cast
+
+import pandas as pd
+from datashaper import TableContainer, VerbInput, verb
+
+from graphrag.index.graph.extractors.community_reports.schemas import (
+    NODE_DEGREE,
+    NODE_DESCRIPTION,
+    NODE_DETAILS,
+    NODE_ID,
+    NODE_NAME,
+)
+
+_MISSING_DESCRIPTION = "No Description"
+
+
+@verb(name="prepare_community_reports_nodes")
+def prepare_community_reports_nodes(
+    input: VerbInput,
+    to: str = NODE_DETAILS,
+    id_column: str = NODE_ID,
+    name_column: str = NODE_NAME,
+    description_column: str = NODE_DESCRIPTION,
+    degree_column: str = NODE_DEGREE,
+    **_kwargs,
+) -> TableContainer:
+    """Merge edge details into an object."""
+    node_df = cast(pd.DataFrame, input.get_input())
+    node_df = node_df.fillna(value={description_column: _MISSING_DESCRIPTION})
+
+    # merge values of four columns into a map column
+    node_df[to] = node_df.apply(
+        lambda x: {
+            id_column: x[id_column],
+            name_column: x[name_column],
+            description_column: x[description_column],
+            degree_column: x[degree_column],
+        },
+        axis=1,
+    )
+    return TableContainer(table=node_df)
diff --git a/graphrag/graphrag/index/verbs/graph/report/restore_community_hierarchy.py b/graphrag/graphrag/index/verbs/graph/report/restore_community_hierarchy.py
new file mode 100644
index 0000000000000000000000000000000000000000..437369f0e527dfea834263e43be3dd98e9647fc5
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/report/restore_community_hierarchy.py
@@ -0,0 +1,78 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing create_graph, _get_node_attributes, _get_edge_attributes and _get_attribute_column_mapping methods definition."""
+
+import logging
+from typing import cast
+
+import pandas as pd
+from datashaper import TableContainer, VerbInput, verb
+
+import graphrag.index.graph.extractors.community_reports.schemas as schemas
+
+log = logging.getLogger(__name__)
+
+
+@verb(name="restore_community_hierarchy")
+def restore_community_hierarchy(
+    input: VerbInput,
+    name_column: str = schemas.NODE_NAME,
+    community_column: str = schemas.NODE_COMMUNITY,
+    level_column: str = schemas.NODE_LEVEL,
+    **_kwargs,
+) -> TableContainer:
+    """Restore the community hierarchy from the node data."""
+    node_df: pd.DataFrame = cast(pd.DataFrame, input.get_input())
+    community_df = (
+        node_df.groupby([community_column, level_column])
+        .agg({name_column: list})
+        .reset_index()
+    )
+    community_levels = {}
+    for _, row in community_df.iterrows():
+        level = row[level_column]
+        name = row[name_column]
+        community = row[community_column]
+
+        if community_levels.get(level) is None:
+            community_levels[level] = {}
+        community_levels[level][community] = name
+
+    # get unique levels, sorted in ascending order
+    levels = sorted(community_levels.keys())
+
+    community_hierarchy = []
+
+    for idx in range(len(levels) - 1):
+        level = levels[idx]
+        log.debug("Level: %s", level)
+        next_level = levels[idx + 1]
+        current_level_communities = community_levels[level]
+        next_level_communities = community_levels[next_level]
+        log.debug(
+            "Number of communities at level %s: %s",
+            level,
+            len(current_level_communities),
+        )
+
+        for current_community in current_level_communities:
+            current_entities = current_level_communities[current_community]
+
+            # loop through next level's communities to find all the subcommunities
+            entities_found = 0
+            for next_level_community in next_level_communities:
+                next_entities = next_level_communities[next_level_community]
+                if set(next_entities).issubset(set(current_entities)):
+                    community_hierarchy.append({
+                        community_column: current_community,
+                        schemas.COMMUNITY_LEVEL: level,
+                        schemas.SUB_COMMUNITY: next_level_community,
+                        schemas.SUB_COMMUNITY_SIZE: len(next_entities),
+                    })
+
+                    entities_found += len(next_entities)
+                    if entities_found == len(current_entities):
+                        break
+
+    return TableContainer(table=pd.DataFrame(community_hierarchy))
diff --git a/graphrag/graphrag/index/verbs/graph/report/strategies/__init__.py b/graphrag/graphrag/index/verbs/graph/report/strategies/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..87d1f9e252a3061151890f52f35c30120aaa2784
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/report/strategies/__init__.py
@@ -0,0 +1,4 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine graph report strategies package root."""
diff --git a/graphrag/graphrag/index/verbs/graph/report/strategies/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/index/verbs/graph/report/strategies/__pycache__/__init__.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..1b78fde7ea9cb29ceb5fa8d90f0319ad4ebadebb
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diff --git a/graphrag/graphrag/index/verbs/graph/report/strategies/__pycache__/typing.cpython-310.pyc b/graphrag/graphrag/index/verbs/graph/report/strategies/__pycache__/typing.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..7e50088729f82c0d03986d2641337abd3efed6f3
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diff --git a/graphrag/graphrag/index/verbs/graph/report/strategies/graph_intelligence/__init__.py b/graphrag/graphrag/index/verbs/graph/report/strategies/graph_intelligence/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..7f51d7909ba383c11bdeed5c65e1b13af942cbf2
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/report/strategies/graph_intelligence/__init__.py
@@ -0,0 +1,8 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine graph report strategies graph intelligence package root."""
+
+from .run_graph_intelligence import run
+
+__all__ = ["run"]
diff --git a/graphrag/graphrag/index/verbs/graph/report/strategies/graph_intelligence/defaults.py b/graphrag/graphrag/index/verbs/graph/report/strategies/graph_intelligence/defaults.py
new file mode 100644
index 0000000000000000000000000000000000000000..708d48d2b62a7af5168931c1dfcb8aac58f92721
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/report/strategies/graph_intelligence/defaults.py
@@ -0,0 +1,26 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A file containing DEFAULT_CHUNK_SIZE and MOCK_RESPONSES definitions."""
+
+import json
+
+DEFAULT_CHUNK_SIZE = 3000
+MOCK_RESPONSES = [
+    json.dumps({
+        "title": "<report_title>",
+        "summary": "<executive_summary>",
+        "rating": 2,
+        "rating_explanation": "<rating_explanation>",
+        "findings": [
+            {
+                "summary": "<insight_1_summary>",
+                "explanation": "<insight_1_explanation",
+            },
+            {
+                "summary": "<farts insight_2_summary>",
+                "explanation": "<insight_2_explanation",
+            },
+        ],
+    })
+]
diff --git a/graphrag/graphrag/index/verbs/graph/report/strategies/graph_intelligence/run_graph_intelligence.py b/graphrag/graphrag/index/verbs/graph/report/strategies/graph_intelligence/run_graph_intelligence.py
new file mode 100644
index 0000000000000000000000000000000000000000..2f47fa88581b3679e3674b4d2a36d69606802887
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/report/strategies/graph_intelligence/run_graph_intelligence.py
@@ -0,0 +1,99 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing run, _run_extractor and _load_nodes_edges_for_claim_chain methods definition."""
+
+import json
+import logging
+import traceback
+
+from datashaper import VerbCallbacks
+
+from graphrag.config.enums import LLMType
+from graphrag.index.cache import PipelineCache
+from graphrag.index.graph.extractors.community_reports import (
+    CommunityReportsExtractor,
+)
+from graphrag.index.llm import load_llm
+from graphrag.index.utils.rate_limiter import RateLimiter
+from graphrag.index.verbs.graph.report.strategies.typing import (
+    CommunityReport,
+    StrategyConfig,
+)
+from graphrag.llm import CompletionLLM
+
+from .defaults import MOCK_RESPONSES
+
+log = logging.getLogger(__name__)
+
+
+async def run(
+    community: str | int,
+    input: str,
+    level: int,
+    reporter: VerbCallbacks,
+    pipeline_cache: PipelineCache,
+    args: StrategyConfig,
+) -> CommunityReport | None:
+    """Run the graph intelligence entity extraction strategy."""
+    llm_config = args.get(
+        "llm", {"type": LLMType.StaticResponse, "responses": MOCK_RESPONSES}
+    )
+    llm_type = llm_config.get("type", LLMType.StaticResponse)
+    llm = load_llm(
+        "community_reporting", llm_type, reporter, pipeline_cache, llm_config
+    )
+    return await _run_extractor(llm, community, input, level, args, reporter)
+
+
+async def _run_extractor(
+    llm: CompletionLLM,
+    community: str | int,
+    input: str,
+    level: int,
+    args: StrategyConfig,
+    reporter: VerbCallbacks,
+) -> CommunityReport | None:
+    # RateLimiter
+    rate_limiter = RateLimiter(rate=1, per=60)
+    extractor = CommunityReportsExtractor(
+        llm,
+        extraction_prompt=args.get("extraction_prompt", None),
+        max_report_length=args.get("max_report_length", None),
+        on_error=lambda e, stack, _data: reporter.error(
+            "Community Report Extraction Error", e, stack
+        ),
+    )
+
+    try:
+        await rate_limiter.acquire()
+        results = await extractor({"input_text": input})
+        report = results.structured_output
+        if report is None or len(report.keys()) == 0:
+            log.warning("No report found for community: %s", community)
+            return None
+
+        return CommunityReport(
+            community=community,
+            full_content=results.output,
+            level=level,
+            rank=_parse_rank(report),
+            title=report.get("title", f"Community Report: {community}"),
+            rank_explanation=report.get("rating_explanation", ""),
+            summary=report.get("summary", ""),
+            findings=report.get("findings", []),
+            full_content_json=json.dumps(report, indent=4),
+        )
+    except Exception as e:
+        log.exception("Error processing community: %s", community)
+        reporter.error("Community Report Extraction Error", e, traceback.format_exc())
+        return None
+
+
+def _parse_rank(report: dict) -> float:
+    rank = report.get("rating", -1)
+    try:
+        return float(rank)
+    except ValueError:
+        log.exception("Error parsing rank: %s defaulting to -1", rank)
+        return -1
diff --git a/graphrag/graphrag/index/verbs/graph/report/strategies/typing.py b/graphrag/graphrag/index/verbs/graph/report/strategies/typing.py
new file mode 100644
index 0000000000000000000000000000000000000000..087c72470275cf40e99743a391cbae4ad709c03c
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/report/strategies/typing.py
@@ -0,0 +1,52 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'Finding' and 'CommunityReport' models."""
+
+from collections.abc import Awaitable, Callable
+from typing import Any
+
+from datashaper import VerbCallbacks
+from typing_extensions import TypedDict
+
+from graphrag.index.cache import PipelineCache
+
+ExtractedEntity = dict[str, Any]
+StrategyConfig = dict[str, Any]
+RowContext = dict[str, Any]
+EntityTypes = list[str]
+Claim = dict[str, Any]
+
+
+class Finding(TypedDict):
+    """Finding class definition."""
+
+    summary: str
+    explanation: str
+
+
+class CommunityReport(TypedDict):
+    """Community report class definition."""
+
+    community: str | int
+    title: str
+    summary: str
+    full_content: str
+    full_content_json: str
+    rank: float
+    level: int
+    rank_explanation: str
+    findings: list[Finding]
+
+
+CommunityReportsStrategy = Callable[
+    [
+        str | int,
+        str,
+        int,
+        VerbCallbacks,
+        PipelineCache,
+        StrategyConfig,
+    ],
+    Awaitable[CommunityReport | None],
+]
diff --git a/graphrag/graphrag/index/verbs/graph/unpack.py b/graphrag/graphrag/index/verbs/graph/unpack.py
new file mode 100644
index 0000000000000000000000000000000000000000..ffb7f4b0a2fa8336fee8bbd4dfa85e588fb31981
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/graph/unpack.py
@@ -0,0 +1,107 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing unpack_graph, _run_unpack, _unpack_nodes and _unpack_edges methods definition."""
+
+from typing import Any, cast
+
+import networkx as nx
+import pandas as pd
+from datashaper import TableContainer, VerbCallbacks, VerbInput, progress_iterable, verb
+
+from graphrag.index.utils import load_graph
+
+default_copy = ["level"]
+
+
+@verb(name="unpack_graph")
+def unpack_graph(
+    input: VerbInput,
+    callbacks: VerbCallbacks,
+    column: str,
+    type: str,  # noqa A002
+    copy: list[str] | None = None,
+    embeddings_column: str = "embeddings",
+    **kwargs,
+) -> TableContainer:
+    """
+    Unpack nodes or edges from a graphml graph, into a list of nodes or edges.
+
+    This verb will create columns for each attribute in a node or edge.
+
+    ## Usage
+    ```yaml
+    verb: unpack_graph
+    args:
+        type: node # The type of data to unpack, one of: node, edge. node will create a node list, edge will create an edge list
+        column: <column name> # The name of the column containing the graph, should be a graphml graph
+    ```
+    """
+    if copy is None:
+        copy = default_copy
+    input_df = input.get_input()
+    num_total = len(input_df)
+    result = []
+    copy = [col for col in copy if col in input_df.columns]
+    has_embeddings = embeddings_column in input_df.columns
+
+    for _, row in progress_iterable(input_df.iterrows(), callbacks.progress, num_total):
+        # merge the original row with the unpacked graph item
+        cleaned_row = {col: row[col] for col in copy}
+        embeddings = (
+            cast(dict[str, list[float]], row[embeddings_column])
+            if has_embeddings
+            else {}
+        )
+
+        result.extend([
+            {**cleaned_row, **graph_id}
+            for graph_id in _run_unpack(
+                cast(str | nx.Graph, row[column]),
+                type,
+                embeddings,
+                kwargs,
+            )
+        ])
+
+    output_df = pd.DataFrame(result)
+    return TableContainer(table=output_df)
+
+
+def _run_unpack(
+    graphml_or_graph: str | nx.Graph,
+    unpack_type: str,
+    embeddings: dict[str, list[float]],
+    args: dict[str, Any],
+) -> list[dict[str, Any]]:
+    graph = load_graph(graphml_or_graph)
+    if unpack_type == "nodes":
+        return _unpack_nodes(graph, embeddings, args)
+    if unpack_type == "edges":
+        return _unpack_edges(graph, args)
+    msg = f"Unknown type {unpack_type}"
+    raise ValueError(msg)
+
+
+def _unpack_nodes(
+    graph: nx.Graph, embeddings: dict[str, list[float]], _args: dict[str, Any]
+) -> list[dict[str, Any]]:
+    return [
+        {
+            "label": label,
+            **(node_data or {}),
+            "graph_embedding": embeddings.get(label),
+        }
+        for label, node_data in graph.nodes(data=True)  # type: ignore
+    ]
+
+
+def _unpack_edges(graph: nx.Graph, _args: dict[str, Any]) -> list[dict[str, Any]]:
+    return [
+        {
+            "source": source_id,
+            "target": target_id,
+            **(edge_data or {}),
+        }
+        for source_id, target_id, edge_data in graph.edges(data=True)  # type: ignore
+    ]
diff --git a/graphrag/graphrag/index/verbs/overrides/__init__.py b/graphrag/graphrag/index/verbs/overrides/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..24b82c1f3ed813103817baf0fba556f185f0f8ca
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/overrides/__init__.py
@@ -0,0 +1,10 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine overrides package root."""
+
+from .aggregate import aggregate
+from .concat import concat
+from .merge import merge
+
+__all__ = ["aggregate", "concat", "merge"]
diff --git a/graphrag/graphrag/index/verbs/overrides/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/index/verbs/overrides/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/index/verbs/overrides/aggregate.py b/graphrag/graphrag/index/verbs/overrides/aggregate.py
new file mode 100644
index 0000000000000000000000000000000000000000..df2137046bbdbdf9b49df506d1ce273cd5edb231
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/overrides/aggregate.py
@@ -0,0 +1,90 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'Aggregation' model."""
+
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+from dataclasses import dataclass
+from typing import Any, cast
+
+import pandas as pd
+from datashaper import (
+    FieldAggregateOperation,
+    Progress,
+    TableContainer,
+    VerbCallbacks,
+    VerbInput,
+    aggregate_operation_mapping,
+    verb,
+)
+
+ARRAY_AGGREGATIONS = [
+    FieldAggregateOperation.ArrayAgg,
+    FieldAggregateOperation.ArrayAggDistinct,
+]
+
+
+# TODO: This thing is kinda gross
+# Also, it diverges from the original aggregate verb, since it doesn't support the same syntax
+@verb(name="aggregate_override")
+def aggregate(
+    input: VerbInput,
+    callbacks: VerbCallbacks,
+    aggregations: list[dict[str, Any]],
+    groupby: list[str] | None = None,
+    **_kwargs: dict,
+) -> TableContainer:
+    """Aggregate method definition."""
+    aggregations_to_apply = _load_aggregations(aggregations)
+    df_aggregations = {
+        agg.column: _get_pandas_agg_operation(agg)
+        for agg in aggregations_to_apply.values()
+    }
+    input_table = input.get_input()
+    callbacks.progress(Progress(percent=0))
+
+    if groupby is None:
+        output_grouped = input_table.groupby(lambda _x: True)
+    else:
+        output_grouped = input_table.groupby(groupby, sort=False)
+    output = cast(pd.DataFrame, output_grouped.agg(df_aggregations))
+    output.rename(
+        columns={agg.column: agg.to for agg in aggregations_to_apply.values()},
+        inplace=True,
+    )
+    output.columns = [agg.to for agg in aggregations_to_apply.values()]
+
+    callbacks.progress(Progress(percent=1))
+
+    return TableContainer(table=output.reset_index())
+
+
+@dataclass
+class Aggregation:
+    """Aggregation class method definition."""
+
+    column: str | None
+    operation: str
+    to: str
+
+    # Only useful for the concat operation
+    separator: str | None = None
+
+
+def _get_pandas_agg_operation(agg: Aggregation) -> Any:
+    # TODO: Merge into datashaper
+    if agg.operation == "string_concat":
+        return (agg.separator or ",").join
+    return aggregate_operation_mapping[FieldAggregateOperation(agg.operation)]
+
+
+def _load_aggregations(
+    aggregations: list[dict[str, Any]],
+) -> dict[str, Aggregation]:
+    return {
+        aggregation["column"]: Aggregation(
+            aggregation["column"], aggregation["operation"], aggregation["to"]
+        )
+        for aggregation in aggregations
+    }
diff --git a/graphrag/graphrag/index/verbs/overrides/concat.py b/graphrag/graphrag/index/verbs/overrides/concat.py
new file mode 100644
index 0000000000000000000000000000000000000000..7a0f0e2c327a907460e4bff0f9d22e20a64a2a11
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/overrides/concat.py
@@ -0,0 +1,27 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing concat method definition."""
+
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+from typing import cast
+
+import pandas as pd
+from datashaper import TableContainer, VerbInput, verb
+
+
+@verb(name="concat_override")
+def concat(
+    input: VerbInput,
+    columnwise: bool = False,
+    **_kwargs: dict,
+) -> TableContainer:
+    """Concat method definition."""
+    input_table = cast(pd.DataFrame, input.get_input())
+    others = cast(list[pd.DataFrame], input.get_others())
+    if columnwise:
+        output = pd.concat([input_table, *others], axis=1)
+    else:
+        output = pd.concat([input_table, *others], ignore_index=True)
+    return TableContainer(table=output)
diff --git a/graphrag/graphrag/index/verbs/overrides/merge.py b/graphrag/graphrag/index/verbs/overrides/merge.py
new file mode 100644
index 0000000000000000000000000000000000000000..64684c98281f2bb5150b2fcbe4e65431f428597f
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/overrides/merge.py
@@ -0,0 +1,78 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing merge and _merge_json methods definition."""
+
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import logging
+from enum import Enum
+from typing import Any, cast
+
+import pandas as pd
+from datashaper import TableContainer, VerbInput, VerbResult, verb
+from datashaper.engine.verbs.merge import merge as ds_merge
+
+log = logging.getLogger(__name__)
+
+
+class MergeStrategyType(str, Enum):
+    """MergeStrategy class definition."""
+
+    json = "json"
+    datashaper = "datashaper"
+
+    def __repr__(self):
+        """Get a string representation."""
+        return f'"{self.value}"'
+
+
+# TODO: This thing is kinda gross
+# Also, it diverges from the original aggregate verb, since it doesn't support the same syntax
+@verb(name="merge_override")
+def merge(
+    input: VerbInput,
+    to: str,
+    columns: list[str],
+    strategy: MergeStrategyType = MergeStrategyType.datashaper,
+    delimiter: str = "",
+    preserveSource: bool = False,  # noqa N806
+    unhot: bool = False,
+    prefix: str = "",
+    **_kwargs: dict,
+) -> TableContainer | VerbResult:
+    """Merge method definition."""
+    output: pd.DataFrame
+    match strategy:
+        case MergeStrategyType.json:
+            output = _merge_json(input, to, columns)
+            filtered_list: list[str] = []
+
+            for col in output.columns:
+                try:
+                    columns.index(col)
+                except ValueError:
+                    log.exception("Column %s not found in input columns", col)
+                    filtered_list.append(col)
+
+            if not preserveSource:
+                output = cast(Any, output[filtered_list])
+            return TableContainer(table=output.reset_index())
+        case _:
+            return ds_merge(
+                input, to, columns, strategy, delimiter, preserveSource, unhot, prefix
+            )
+
+
+def _merge_json(
+    input: VerbInput,
+    to: str,
+    columns: list[str],
+) -> pd.DataFrame:
+    input_table = cast(pd.DataFrame, input.get_input())
+    output = input_table
+    output[to] = output[columns].apply(
+        lambda row: ({**row}),
+        axis=1,
+    )
+    return output
diff --git a/graphrag/graphrag/index/verbs/snapshot.py b/graphrag/graphrag/index/verbs/snapshot.py
new file mode 100644
index 0000000000000000000000000000000000000000..a90fc2837b093c8340111eeaba9b57c96cbe6971
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/snapshot.py
@@ -0,0 +1,30 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing snapshot method definition."""
+
+from datashaper import TableContainer, VerbInput, verb
+
+from graphrag.index.storage import PipelineStorage
+
+
+@verb(name="snapshot")
+async def snapshot(
+    input: VerbInput,
+    name: str,
+    formats: list[str],
+    storage: PipelineStorage,
+    **_kwargs: dict,
+) -> TableContainer:
+    """Take a entire snapshot of the tabular data."""
+    data = input.get_input()
+
+    for fmt in formats:
+        if fmt == "parquet":
+            await storage.set(name + ".parquet", data.to_parquet())
+        elif fmt == "json":
+            await storage.set(
+                name + ".json", data.to_json(orient="records", lines=True)
+            )
+
+    return TableContainer(table=data)
diff --git a/graphrag/graphrag/index/verbs/snapshot_rows.py b/graphrag/graphrag/index/verbs/snapshot_rows.py
new file mode 100644
index 0000000000000000000000000000000000000000..99aae70a04ab92da7829347cda7d6af19efc822c
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/snapshot_rows.py
@@ -0,0 +1,86 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'FormatSpecifier' model."""
+
+import json
+from dataclasses import dataclass
+from typing import Any
+
+from datashaper import TableContainer, VerbInput, verb
+
+from graphrag.index.storage import PipelineStorage
+
+
+@dataclass
+class FormatSpecifier:
+    """Format specifier class definition."""
+
+    format: str
+    extension: str
+
+
+@verb(name="snapshot_rows")
+async def snapshot_rows(
+    input: VerbInput,
+    column: str | None,
+    base_name: str,
+    storage: PipelineStorage,
+    formats: list[str | dict[str, Any]],
+    row_name_column: str | None = None,
+    **_kwargs: dict,
+) -> TableContainer:
+    """Take a by-row snapshot of the tabular data."""
+    data = input.get_input()
+    parsed_formats = _parse_formats(formats)
+    num_rows = len(data)
+
+    def get_row_name(row: Any, row_idx: Any):
+        if row_name_column is None:
+            if num_rows == 1:
+                return base_name
+            return f"{base_name}.{row_idx}"
+        return f"{base_name}.{row[row_name_column]}"
+
+    for row_idx, row in data.iterrows():
+        for fmt in parsed_formats:
+            row_name = get_row_name(row, row_idx)
+            extension = fmt.extension
+            if fmt.format == "json":
+                await storage.set(
+                    f"{row_name}.{extension}",
+                    json.dumps(row[column])
+                    if column is not None
+                    else json.dumps(row.to_dict()),
+                )
+            elif fmt.format == "text":
+                if column is None:
+                    msg = "column must be specified for text format"
+                    raise ValueError(msg)
+                await storage.set(f"{row_name}.{extension}", str(row[column]))
+
+    return TableContainer(table=data)
+
+
+def _parse_formats(formats: list[str | dict[str, Any]]) -> list[FormatSpecifier]:
+    """Parse the formats into a list of FormatSpecifiers."""
+    return [
+        FormatSpecifier(**fmt)
+        if isinstance(fmt, dict)
+        else FormatSpecifier(format=fmt, extension=_get_format_extension(fmt))
+        for fmt in formats
+    ]
+
+
+def _get_format_extension(fmt: str) -> str:
+    """Get the file extension for a given format."""
+    if fmt == "json":
+        return "json"
+    if fmt == "text":
+        return "txt"
+    if fmt == "parquet":
+        return "parquet"
+    if fmt == "csv":
+        return "csv"
+    msg = f"Unknown format: {fmt}"
+    raise ValueError(msg)
diff --git a/graphrag/graphrag/index/verbs/spread_json.py b/graphrag/graphrag/index/verbs/spread_json.py
new file mode 100644
index 0000000000000000000000000000000000000000..38656e12a4dcd8082980c1e82e67db664730a67f
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/spread_json.py
@@ -0,0 +1,55 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing spread_json method definition."""
+
+import logging
+
+import pandas as pd
+from datashaper import TableContainer, VerbInput, verb
+
+from graphrag.index.utils import is_null
+
+# TODO: Check if this is already a thing
+DEFAULT_COPY = ["level"]
+
+
+@verb(name="spread_json")
+def spread_json(
+    input: VerbInput,
+    column: str,
+    copy: list[str] | None = None,
+    **_kwargs: dict,
+) -> TableContainer:
+    """
+    Unpack a column containing a tuple into multiple columns.
+
+    id|json|b
+    1|{"x":5,"y":6}|b
+
+    is converted to
+
+    id|x|y|b
+    --------
+    1|5|6|b
+    """
+    if copy is None:
+        copy = DEFAULT_COPY
+    data = input.get_input()
+
+    results = []
+    for _, row in data.iterrows():
+        try:
+            cleaned_row = {col: row[col] for col in copy}
+            rest_row = row[column] if row[column] is not None else {}
+
+            if is_null(rest_row):
+                rest_row = {}
+
+            results.append({**cleaned_row, **rest_row})  # type: ignore
+        except Exception:
+            logging.exception("Error spreading row: %s", row)
+            raise
+    data = pd.DataFrame(results, index=data.index)
+
+    return TableContainer(table=data)
diff --git a/graphrag/graphrag/index/verbs/text/__init__.py b/graphrag/graphrag/index/verbs/text/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..032f45e1b10b1a12831f5101c456d0806a99f9b0
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/__init__.py
@@ -0,0 +1,18 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine text package root."""
+
+from .chunk.text_chunk import chunk
+from .embed import text_embed
+from .replace import replace
+from .split import text_split
+from .translate import text_translate
+
+__all__ = [
+    "chunk",
+    "replace",
+    "text_embed",
+    "text_split",
+    "text_translate",
+]
diff --git a/graphrag/graphrag/index/verbs/text/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/index/verbs/text/__pycache__/__init__.cpython-310.pyc
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new file mode 100644
index 0000000000000000000000000000000000000000..4e2a7729c5f09a2d409d8f4e0af48f8fcf14dd14
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/chunk/__init__.py
@@ -0,0 +1,8 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine text chunk package root."""
+
+from .text_chunk import ChunkStrategy, ChunkStrategyType, chunk
+
+__all__ = ["ChunkStrategy", "ChunkStrategyType", "chunk"]
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diff --git a/graphrag/graphrag/index/verbs/text/chunk/strategies/__init__.py b/graphrag/graphrag/index/verbs/text/chunk/strategies/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0f15fcb2d5b35e5478454c99108fce8d55cf6f9a
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/chunk/strategies/__init__.py
@@ -0,0 +1,4 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine text chunk strategies package root."""
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diff --git a/graphrag/graphrag/index/verbs/text/chunk/strategies/sentence.py b/graphrag/graphrag/index/verbs/text/chunk/strategies/sentence.py
new file mode 100644
index 0000000000000000000000000000000000000000..687def1d90be1ffb8fe1a64e13429707e040e143
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/chunk/strategies/sentence.py
@@ -0,0 +1,26 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing run method definition."""
+
+from collections.abc import Iterable
+from typing import Any
+
+import nltk
+from datashaper import ProgressTicker
+
+from .typing import TextChunk
+
+
+def run(
+    input: list[str], _args: dict[str, Any], tick: ProgressTicker
+) -> Iterable[TextChunk]:
+    """Chunks text into multiple parts. A pipeline verb."""
+    for doc_idx, text in enumerate(input):
+        sentences = nltk.sent_tokenize(text)
+        for sentence in sentences:
+            yield TextChunk(
+                text_chunk=sentence,
+                source_doc_indices=[doc_idx],
+            )
+        tick(1)
diff --git a/graphrag/graphrag/index/verbs/text/chunk/strategies/tokens.py b/graphrag/graphrag/index/verbs/text/chunk/strategies/tokens.py
new file mode 100644
index 0000000000000000000000000000000000000000..6426c783e1aa23e854ac91e34a04f54418aa5485
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/chunk/strategies/tokens.py
@@ -0,0 +1,81 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing run and split_text_on_tokens methods definition."""
+
+from collections.abc import Iterable
+from typing import Any
+
+import tiktoken
+from datashaper import ProgressTicker
+
+import graphrag.config.defaults as defs
+from graphrag.index.text_splitting import Tokenizer
+from graphrag.index.verbs.text.chunk.typing import TextChunk
+
+
+def run(
+    input: list[str], args: dict[str, Any], tick: ProgressTicker
+) -> Iterable[TextChunk]:
+    """Chunks text into multiple parts. A pipeline verb."""
+    tokens_per_chunk = args.get("chunk_size", defs.CHUNK_SIZE)
+    chunk_overlap = args.get("chunk_overlap", defs.CHUNK_OVERLAP)
+    encoding_name = args.get("encoding_name", defs.ENCODING_MODEL)
+    enc = tiktoken.get_encoding(encoding_name)
+
+    def encode(text: str) -> list[int]:
+        if not isinstance(text, str):
+            text = f"{text}"
+        return enc.encode(text)
+
+    def decode(tokens: list[int]) -> str:
+        return enc.decode(tokens)
+
+    return split_text_on_tokens(
+        input,
+        Tokenizer(
+            chunk_overlap=chunk_overlap,
+            tokens_per_chunk=tokens_per_chunk,
+            encode=encode,
+            decode=decode,
+        ),
+        tick,
+    )
+
+
+# Adapted from - https://github.com/langchain-ai/langchain/blob/77b359edf5df0d37ef0d539f678cf64f5557cb54/libs/langchain/langchain/text_splitter.py#L471
+# So we could have better control over the chunking process
+def split_text_on_tokens(
+    texts: list[str], enc: Tokenizer, tick: ProgressTicker
+) -> list[TextChunk]:
+    """Split incoming text and return chunks."""
+    result = []
+    mapped_ids = []
+
+    for source_doc_idx, text in enumerate(texts):
+        encoded = enc.encode(text)
+        tick(1)
+        mapped_ids.append((source_doc_idx, encoded))
+
+    input_ids: list[tuple[int, int]] = [
+        (source_doc_idx, id) for source_doc_idx, ids in mapped_ids for id in ids
+    ]
+
+    start_idx = 0
+    cur_idx = min(start_idx + enc.tokens_per_chunk, len(input_ids))
+    chunk_ids = input_ids[start_idx:cur_idx]
+    while start_idx < len(input_ids):
+        chunk_text = enc.decode([id for _, id in chunk_ids])
+        doc_indices = list({doc_idx for doc_idx, _ in chunk_ids})
+        result.append(
+            TextChunk(
+                text_chunk=chunk_text,
+                source_doc_indices=doc_indices,
+                n_tokens=len(chunk_ids),
+            )
+        )
+        start_idx += enc.tokens_per_chunk - enc.chunk_overlap
+        cur_idx = min(start_idx + enc.tokens_per_chunk, len(input_ids))
+        chunk_ids = input_ids[start_idx:cur_idx]
+
+    return result
diff --git a/graphrag/graphrag/index/verbs/text/chunk/strategies/typing.py b/graphrag/graphrag/index/verbs/text/chunk/strategies/typing.py
new file mode 100644
index 0000000000000000000000000000000000000000..b4e833c8e3c40e6eee9a43508483d27d990f9598
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/chunk/strategies/typing.py
@@ -0,0 +1,17 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing ChunkStrategy definition."""
+
+from collections.abc import Callable, Iterable
+from typing import Any
+
+from datashaper import ProgressTicker
+
+from graphrag.index.verbs.text.chunk.typing import TextChunk
+
+# Given a list of document texts, return a list of tuples of (source_doc_indices, text_chunk)
+
+ChunkStrategy = Callable[
+    [list[str], dict[str, Any], ProgressTicker], Iterable[TextChunk]
+]
diff --git a/graphrag/graphrag/index/verbs/text/chunk/text_chunk.py b/graphrag/graphrag/index/verbs/text/chunk/text_chunk.py
new file mode 100644
index 0000000000000000000000000000000000000000..40c5578a0fe1fec379bac269923f07a8e8133b03
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/chunk/text_chunk.py
@@ -0,0 +1,162 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing _get_num_total, chunk, run_strategy and load_strategy methods definitions."""
+
+from enum import Enum
+from typing import Any, cast
+
+import pandas as pd
+from datashaper import (
+    ProgressTicker,
+    TableContainer,
+    VerbCallbacks,
+    VerbInput,
+    progress_ticker,
+    verb,
+)
+
+from .strategies.typing import ChunkStrategy as ChunkStrategy
+from .typing import ChunkInput
+
+
+def _get_num_total(output: pd.DataFrame, column: str) -> int:
+    num_total = 0
+    for row in output[column]:
+        if isinstance(row, str):
+            num_total += 1
+        else:
+            num_total += len(row)
+    return num_total
+
+
+class ChunkStrategyType(str, Enum):
+    """ChunkStrategy class definition."""
+
+    tokens = "tokens"
+    sentence = "sentence"
+
+    def __repr__(self):
+        """Get a string representation."""
+        return f'"{self.value}"'
+
+
+@verb(name="chunk")
+def chunk(
+    input: VerbInput,
+    column: str,
+    to: str,
+    callbacks: VerbCallbacks,
+    strategy: dict[str, Any] | None = None,
+    **_kwargs,
+) -> TableContainer:
+    """
+    Chunk a piece of text into smaller pieces.
+
+    ## Usage
+    ```yaml
+    verb: text_chunk
+    args:
+        column: <column name> # The name of the column containing the text to chunk, this can either be a column with text, or a column with a list[tuple[doc_id, str]]
+        to: <column name> # The name of the column to output the chunks to
+        strategy: <strategy config> # The strategy to use to chunk the text, see below for more details
+    ```
+
+    ## Strategies
+    The text chunk verb uses a strategy to chunk the text. The strategy is an object which defines the strategy to use. The following strategies are available:
+
+    ### tokens
+    This strategy uses the [tokens] library to chunk a piece of text. The strategy config is as follows:
+
+    > Note: In the future, this will likely be renamed to something more generic, like "openai_tokens".
+
+    ```yaml
+    strategy:
+        type: tokens
+        chunk_size: 1200 # Optional, The chunk size to use, default: 1200
+        chunk_overlap: 100 # Optional, The chunk overlap to use, default: 100
+    ```
+
+    ### sentence
+    This strategy uses the nltk library to chunk a piece of text into sentences. The strategy config is as follows:
+
+    ```yaml
+    strategy:
+        type: sentence
+    ```
+    """
+    if strategy is None:
+        strategy = {}
+    output = cast(pd.DataFrame, input.get_input())
+    strategy_name = strategy.get("type", ChunkStrategyType.tokens)
+    strategy_config = {**strategy}
+    strategy_exec = load_strategy(strategy_name)
+
+    num_total = _get_num_total(output, column)
+    tick = progress_ticker(callbacks.progress, num_total)
+
+    output[to] = output.apply(
+        cast(
+            Any,
+            lambda x: run_strategy(strategy_exec, x[column], strategy_config, tick),
+        ),
+        axis=1,
+    )
+    return TableContainer(table=output)
+
+
+def run_strategy(
+    strategy: ChunkStrategy,
+    input: ChunkInput,
+    strategy_args: dict[str, Any],
+    tick: ProgressTicker,
+) -> list[str | tuple[list[str] | None, str, int]]:
+    """Run strategy method definition."""
+    if isinstance(input, str):
+        return [item.text_chunk for item in strategy([input], {**strategy_args}, tick)]
+
+    # We can work with both just a list of text content
+    # or a list of tuples of (document_id, text content)
+    # text_to_chunk = '''
+    texts = []
+    for item in input:
+        if isinstance(item, str):
+            texts.append(item)
+        else:
+            texts.append(item[1])
+
+    strategy_results = strategy(texts, {**strategy_args}, tick)
+
+    results = []
+    for strategy_result in strategy_results:
+        doc_indices = strategy_result.source_doc_indices
+        if isinstance(input[doc_indices[0]], str):
+            results.append(strategy_result.text_chunk)
+        else:
+            doc_ids = [input[doc_idx][0] for doc_idx in doc_indices]
+            results.append((
+                doc_ids,
+                strategy_result.text_chunk,
+                strategy_result.n_tokens,
+            ))
+    return results
+
+
+def load_strategy(strategy: ChunkStrategyType) -> ChunkStrategy:
+    """Load strategy method definition."""
+    match strategy:
+        case ChunkStrategyType.tokens:
+            from .strategies.tokens import run as run_tokens
+
+            return run_tokens
+        case ChunkStrategyType.sentence:
+            # NLTK
+            from graphrag.index.bootstrap import bootstrap
+
+            from .strategies.sentence import run as run_sentence
+
+            bootstrap()
+            return run_sentence
+        case _:
+            msg = f"Unknown strategy: {strategy}"
+            raise ValueError(msg)
diff --git a/graphrag/graphrag/index/verbs/text/chunk/typing.py b/graphrag/graphrag/index/verbs/text/chunk/typing.py
new file mode 100644
index 0000000000000000000000000000000000000000..3a42cf68a7a528b09bf6eed83f9543e023172dbc
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/chunk/typing.py
@@ -0,0 +1,19 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'TextChunk' model."""
+
+from dataclasses import dataclass
+
+
+@dataclass
+class TextChunk:
+    """Text chunk class definition."""
+
+    text_chunk: str
+    source_doc_indices: list[int]
+    n_tokens: int | None = None
+
+
+ChunkInput = str | list[str] | list[tuple[str, str]]
+"""Input to a chunking strategy. Can be a string, a list of strings, or a list of tuples of (id, text)."""
diff --git a/graphrag/graphrag/index/verbs/text/embed/__init__.py b/graphrag/graphrag/index/verbs/text/embed/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..969bd2aab925ac9c3a33fecc67a1770dea632858
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/embed/__init__.py
@@ -0,0 +1,8 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine text embed package root."""
+
+from .text_embed import TextEmbedStrategyType, text_embed
+
+__all__ = ["TextEmbedStrategyType", "text_embed"]
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diff --git a/graphrag/graphrag/index/verbs/text/embed/strategies/__init__.py b/graphrag/graphrag/index/verbs/text/embed/strategies/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..8cbe7a580ef3769cc5ef800bef97124c9af8c85d
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/embed/strategies/__init__.py
@@ -0,0 +1,4 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine embed strategies package root."""
diff --git a/graphrag/graphrag/index/verbs/text/embed/strategies/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/index/verbs/text/embed/strategies/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/index/verbs/text/embed/strategies/mock.py b/graphrag/graphrag/index/verbs/text/embed/strategies/mock.py
new file mode 100644
index 0000000000000000000000000000000000000000..1be4ab0f9ff594d33d83dc72b9a8b6510503ed17
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/embed/strategies/mock.py
@@ -0,0 +1,34 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing run and _embed_text methods definitions."""
+
+import random
+from collections.abc import Iterable
+from typing import Any
+
+from datashaper import ProgressTicker, VerbCallbacks, progress_ticker
+
+from graphrag.index.cache import PipelineCache
+
+from .typing import TextEmbeddingResult
+
+
+async def run(  # noqa RUF029 async is required for interface
+    input: list[str],
+    callbacks: VerbCallbacks,
+    cache: PipelineCache,
+    _args: dict[str, Any],
+) -> TextEmbeddingResult:
+    """Run the Claim extraction chain."""
+    input = input if isinstance(input, Iterable) else [input]
+    ticker = progress_ticker(callbacks.progress, len(input))
+    return TextEmbeddingResult(
+        embeddings=[_embed_text(cache, text, ticker) for text in input]
+    )
+
+
+def _embed_text(_cache: PipelineCache, _text: str, tick: ProgressTicker) -> list[float]:
+    """Embed a single piece of text."""
+    tick(1)
+    return [random.random(), random.random(), random.random()]  # noqa S311
diff --git a/graphrag/graphrag/index/verbs/text/embed/strategies/openai.py b/graphrag/graphrag/index/verbs/text/embed/strategies/openai.py
new file mode 100644
index 0000000000000000000000000000000000000000..fb443ec83ec66684105847e8936c3eedf4916ed5
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/embed/strategies/openai.py
@@ -0,0 +1,181 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing run method definition."""
+
+import asyncio
+import logging
+from typing import Any
+
+import numpy as np
+from datashaper import ProgressTicker, VerbCallbacks, progress_ticker
+
+import graphrag.config.defaults as defs
+from graphrag.index.cache import PipelineCache
+from graphrag.index.llm import load_llm_embeddings
+from graphrag.index.text_splitting import TokenTextSplitter
+from graphrag.index.utils import is_null
+from graphrag.llm import EmbeddingLLM, OpenAIConfiguration
+
+from .typing import TextEmbeddingResult
+
+log = logging.getLogger(__name__)
+
+
+async def run(
+    input: list[str],
+    callbacks: VerbCallbacks,
+    cache: PipelineCache,
+    args: dict[str, Any],
+) -> TextEmbeddingResult:
+    """Run the Claim extraction chain."""
+    if is_null(input):
+        return TextEmbeddingResult(embeddings=None)
+
+    llm_config = args.get("llm", {})
+    batch_size = args.get("batch_size", 16)
+    batch_max_tokens = args.get("batch_max_tokens", 8191)
+    oai_config = OpenAIConfiguration(llm_config)
+    splitter = _get_splitter(oai_config, batch_max_tokens)
+    llm = _get_llm(oai_config, callbacks, cache)
+    semaphore: asyncio.Semaphore = asyncio.Semaphore(args.get("num_threads", 4))
+
+    # Break up the input texts. The sizes here indicate how many snippets are in each input text
+    texts, input_sizes = _prepare_embed_texts(input, splitter)
+    text_batches = _create_text_batches(
+        texts,
+        batch_size,
+        batch_max_tokens,
+        splitter,
+    )
+    log.info(
+        "embedding %d inputs via %d snippets using %d batches. max_batch_size=%d, max_tokens=%d",
+        len(input),
+        len(texts),
+        len(text_batches),
+        batch_size,
+        batch_max_tokens,
+    )
+    ticker = progress_ticker(callbacks.progress, len(text_batches))
+
+    # Embed each chunk of snippets
+    embeddings = await _execute(llm, text_batches, ticker, semaphore)
+    embeddings = _reconstitute_embeddings(embeddings, input_sizes)
+
+    return TextEmbeddingResult(embeddings=embeddings)
+
+
+def _get_splitter(
+    config: OpenAIConfiguration, batch_max_tokens: int
+) -> TokenTextSplitter:
+    return TokenTextSplitter(
+        encoding_name=config.encoding_model or defs.ENCODING_MODEL,
+        chunk_size=batch_max_tokens,
+    )
+
+
+def _get_llm(
+    config: OpenAIConfiguration,
+    callbacks: VerbCallbacks,
+    cache: PipelineCache,
+) -> EmbeddingLLM:
+    llm_type = config.lookup("type", "Unknown")
+    return load_llm_embeddings(
+        "text_embedding",
+        llm_type,
+        callbacks,
+        cache,
+        config.raw_config,
+    )
+
+
+async def _execute(
+    llm: EmbeddingLLM,
+    chunks: list[list[str]],
+    tick: ProgressTicker,
+    semaphore: asyncio.Semaphore,
+) -> list[list[float]]:
+    async def embed(chunk: list[str]):
+        async with semaphore:
+            chunk_embeddings = await llm(chunk)
+            result = np.array(chunk_embeddings.output)
+            tick(1)
+        return result
+
+    futures = [embed(chunk) for chunk in chunks]
+    results = await asyncio.gather(*futures)
+    # merge results in a single list of lists (reduce the collect dimension)
+    return [item for sublist in results for item in sublist]
+
+
+def _create_text_batches(
+    texts: list[str],
+    max_batch_size: int,
+    max_batch_tokens: int,
+    splitter: TokenTextSplitter,
+) -> list[list[str]]:
+    """Create batches of texts to embed."""
+    # https://learn.microsoft.com/en-us/azure/ai-services/openai/reference
+    # According to this embeddings reference, Azure limits us to 16 concurrent embeddings and 8191 tokens per request
+    result = []
+    current_batch = []
+    current_batch_tokens = 0
+
+    for text in texts:
+        token_count = splitter.num_tokens(text)
+        if (
+            len(current_batch) >= max_batch_size
+            or current_batch_tokens + token_count > max_batch_tokens
+        ):
+            result.append(current_batch)
+            current_batch = []
+            current_batch_tokens = 0
+
+        current_batch.append(text)
+        current_batch_tokens += token_count
+
+    if len(current_batch) > 0:
+        result.append(current_batch)
+
+    return result
+
+
+def _prepare_embed_texts(
+    input: list[str], splitter: TokenTextSplitter
+) -> tuple[list[str], list[int]]:
+    sizes: list[int] = []
+    snippets: list[str] = []
+
+    for text in input:
+        # Split the input text and filter out any empty content
+        split_texts = splitter.split_text(text)
+        if split_texts is None:
+            continue
+        split_texts = [text for text in split_texts if len(text) > 0]
+
+        sizes.append(len(split_texts))
+        snippets.extend(split_texts)
+
+    return snippets, sizes
+
+
+def _reconstitute_embeddings(
+    raw_embeddings: list[list[float]], sizes: list[int]
+) -> list[list[float] | None]:
+    """Reconstitute the embeddings into the original input texts."""
+    embeddings: list[list[float] | None] = []
+    cursor = 0
+    for size in sizes:
+        if size == 0:
+            embeddings.append(None)
+        elif size == 1:
+            embedding = raw_embeddings[cursor]
+            embeddings.append(embedding)
+            cursor += 1
+        else:
+            chunk = raw_embeddings[cursor : cursor + size]
+            average = np.average(chunk, axis=0)
+            normalized = average / np.linalg.norm(average)
+            embeddings.append(normalized.tolist())
+            cursor += size
+    return embeddings
diff --git a/graphrag/graphrag/index/verbs/text/embed/strategies/typing.py b/graphrag/graphrag/index/verbs/text/embed/strategies/typing.py
new file mode 100644
index 0000000000000000000000000000000000000000..1b2525649776dc7db0ed1fc9d4f464b25f1e993b
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/embed/strategies/typing.py
@@ -0,0 +1,29 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'TextEmbeddingResult' model."""
+
+from collections.abc import Awaitable, Callable
+from dataclasses import dataclass
+
+from datashaper import VerbCallbacks
+
+from graphrag.index.cache import PipelineCache
+
+
+@dataclass
+class TextEmbeddingResult:
+    """Text embedding result class definition."""
+
+    embeddings: list[list[float] | None] | None
+
+
+TextEmbeddingStrategy = Callable[
+    [
+        list[str],
+        VerbCallbacks,
+        PipelineCache,
+        dict,
+    ],
+    Awaitable[TextEmbeddingResult],
+]
diff --git a/graphrag/graphrag/index/verbs/text/embed/text_embed.py b/graphrag/graphrag/index/verbs/text/embed/text_embed.py
new file mode 100644
index 0000000000000000000000000000000000000000..76ac97d76feae722deffb7d21354a1e203aa0117
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/embed/text_embed.py
@@ -0,0 +1,263 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing text_embed, load_strategy and create_row_from_embedding_data methods definition."""
+
+import logging
+from enum import Enum
+from typing import Any, cast
+
+import numpy as np
+import pandas as pd
+from datashaper import TableContainer, VerbCallbacks, VerbInput, verb
+
+from graphrag.index.cache import PipelineCache
+from graphrag.vector_stores import (
+    BaseVectorStore,
+    VectorStoreDocument,
+    VectorStoreFactory,
+)
+
+from .strategies.typing import TextEmbeddingStrategy
+
+log = logging.getLogger(__name__)
+
+# Per Azure OpenAI Limits
+# https://learn.microsoft.com/en-us/azure/ai-services/openai/reference
+DEFAULT_EMBEDDING_BATCH_SIZE = 500
+
+
+class TextEmbedStrategyType(str, Enum):
+    """TextEmbedStrategyType class definition."""
+
+    openai = "openai"
+    mock = "mock"
+
+    def __repr__(self):
+        """Get a string representation."""
+        return f'"{self.value}"'
+
+
+@verb(name="text_embed")
+async def text_embed(
+    input: VerbInput,
+    callbacks: VerbCallbacks,
+    cache: PipelineCache,
+    column: str,
+    strategy: dict,
+    **kwargs,
+) -> TableContainer:
+    """
+    Embed a piece of text into a vector space. The verb outputs a new column containing a mapping between doc_id and vector.
+
+    ## Usage
+    ```yaml
+    verb: text_embed
+    args:
+        column: text # The name of the column containing the text to embed, this can either be a column with text, or a column with a list[tuple[doc_id, str]]
+        to: embedding # The name of the column to output the embedding to
+        strategy: <strategy config> # See strategies section below
+    ```
+
+    ## Strategies
+    The text embed verb uses a strategy to embed the text. The strategy is an object which defines the strategy to use. The following strategies are available:
+
+    ### openai
+    This strategy uses openai to embed a piece of text. In particular it uses a LLM to embed a piece of text. The strategy config is as follows:
+
+    ```yaml
+    strategy:
+        type: openai
+        llm: # The configuration for the LLM
+            type: openai_embedding # the type of llm to use, available options are: openai_embedding, azure_openai_embedding
+            api_key: !ENV ${GRAPHRAG_OPENAI_API_KEY} # The api key to use for openai
+            model: !ENV ${GRAPHRAG_OPENAI_MODEL:gpt-4-turbo-preview} # The model to use for openai
+            max_tokens: !ENV ${GRAPHRAG_MAX_TOKENS:6000} # The max tokens to use for openai
+            organization: !ENV ${GRAPHRAG_OPENAI_ORGANIZATION} # The organization to use for openai
+        vector_store: # The optional configuration for the vector store
+            type: lancedb # The type of vector store to use, available options are: azure_ai_search, lancedb
+            <...>
+    ```
+    """
+    vector_store_config = strategy.get("vector_store")
+
+    if vector_store_config:
+        embedding_name = kwargs.get("embedding_name", "default")
+        collection_name = _get_collection_name(vector_store_config, embedding_name)
+        vector_store: BaseVectorStore = _create_vector_store(
+            vector_store_config, collection_name
+        )
+        vector_store_workflow_config = vector_store_config.get(
+            embedding_name, vector_store_config
+        )
+        return await _text_embed_with_vector_store(
+            input,
+            callbacks,
+            cache,
+            column,
+            strategy,
+            vector_store,
+            vector_store_workflow_config,
+            vector_store_config.get("store_in_table", False),
+            kwargs.get("to", f"{column}_embedding"),
+        )
+
+    return await _text_embed_in_memory(
+        input,
+        callbacks,
+        cache,
+        column,
+        strategy,
+        kwargs.get("to", f"{column}_embedding"),
+    )
+
+
+async def _text_embed_in_memory(
+    input: VerbInput,
+    callbacks: VerbCallbacks,
+    cache: PipelineCache,
+    column: str,
+    strategy: dict,
+    to: str,
+):
+    output_df = cast(pd.DataFrame, input.get_input())
+    strategy_type = strategy["type"]
+    strategy_exec = load_strategy(strategy_type)
+    strategy_args = {**strategy}
+    input_table = input.get_input()
+
+    texts: list[str] = input_table[column].to_numpy().tolist()
+    result = await strategy_exec(texts, callbacks, cache, strategy_args)
+
+    output_df[to] = result.embeddings
+    return TableContainer(table=output_df)
+
+
+async def _text_embed_with_vector_store(
+    input: VerbInput,
+    callbacks: VerbCallbacks,
+    cache: PipelineCache,
+    column: str,
+    strategy: dict[str, Any],
+    vector_store: BaseVectorStore,
+    vector_store_config: dict,
+    store_in_table: bool = False,
+    to: str = "",
+):
+    output_df = cast(pd.DataFrame, input.get_input())
+    strategy_type = strategy["type"]
+    strategy_exec = load_strategy(strategy_type)
+    strategy_args = {**strategy}
+
+    # Get vector-storage configuration
+    insert_batch_size: int = (
+        vector_store_config.get("batch_size") or DEFAULT_EMBEDDING_BATCH_SIZE
+    )
+    title_column: str = vector_store_config.get("title_column", "title")
+    id_column: str = vector_store_config.get("id_column", "id")
+    overwrite: bool = vector_store_config.get("overwrite", True)
+
+    if column not in output_df.columns:
+        msg = f"Column {column} not found in input dataframe with columns {output_df.columns}"
+        raise ValueError(msg)
+    if title_column not in output_df.columns:
+        msg = f"Column {title_column} not found in input dataframe with columns {output_df.columns}"
+        raise ValueError(msg)
+    if id_column not in output_df.columns:
+        msg = f"Column {id_column} not found in input dataframe with columns {output_df.columns}"
+        raise ValueError(msg)
+
+    total_rows = 0
+    for row in output_df[column]:
+        if isinstance(row, list):
+            total_rows += len(row)
+        else:
+            total_rows += 1
+
+    i = 0
+    starting_index = 0
+
+    all_results = []
+
+    while insert_batch_size * i < input.get_input().shape[0]:
+        batch = input.get_input().iloc[
+            insert_batch_size * i : insert_batch_size * (i + 1)
+        ]
+        texts: list[str] = batch[column].to_numpy().tolist()
+        titles: list[str] = batch[title_column].to_numpy().tolist()
+        ids: list[str] = batch[id_column].to_numpy().tolist()
+        result = await strategy_exec(
+            texts,
+            callbacks,
+            cache,
+            strategy_args,
+        )
+        if store_in_table and result.embeddings:
+            embeddings = [
+                embedding for embedding in result.embeddings if embedding is not None
+            ]
+            all_results.extend(embeddings)
+
+        vectors = result.embeddings or []
+        documents: list[VectorStoreDocument] = []
+        for id, text, title, vector in zip(ids, texts, titles, vectors, strict=True):
+            if type(vector) is np.ndarray:
+                vector = vector.tolist()
+            document = VectorStoreDocument(
+                id=id,
+                text=text,
+                vector=vector,
+                attributes={"title": title},
+            )
+            documents.append(document)
+
+        vector_store.load_documents(documents, overwrite and i == 0)
+        starting_index += len(documents)
+        i += 1
+
+    if store_in_table:
+        output_df[to] = all_results
+
+    return TableContainer(table=output_df)
+
+
+def _create_vector_store(
+    vector_store_config: dict, collection_name: str
+) -> BaseVectorStore:
+    vector_store_type: str = str(vector_store_config.get("type"))
+    if collection_name:
+        vector_store_config.update({"collection_name": collection_name})
+
+    vector_store = VectorStoreFactory.get_vector_store(
+        vector_store_type, kwargs=vector_store_config
+    )
+
+    vector_store.connect(**vector_store_config)
+    return vector_store
+
+
+def _get_collection_name(vector_store_config: dict, embedding_name: str) -> str:
+    collection_name = vector_store_config.get("collection_name")
+    if not collection_name:
+        collection_names = vector_store_config.get("collection_names", {})
+        collection_name = collection_names.get(embedding_name, embedding_name)
+
+    msg = f"using {vector_store_config.get('type')} collection_name {collection_name} for embedding {embedding_name}"
+    log.info(msg)
+    return collection_name
+
+
+def load_strategy(strategy: TextEmbedStrategyType) -> TextEmbeddingStrategy:
+    """Load strategy method definition."""
+    match strategy:
+        case TextEmbedStrategyType.openai:
+            from .strategies.openai import run as run_openai
+
+            return run_openai
+        case TextEmbedStrategyType.mock:
+            from .strategies.mock import run as run_mock
+
+            return run_mock
+        case _:
+            msg = f"Unknown strategy: {strategy}"
+            raise ValueError(msg)
diff --git a/graphrag/graphrag/index/verbs/text/replace/__init__.py b/graphrag/graphrag/index/verbs/text/replace/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..f863415f4049cede1a458e7207cac5e432d9fda9
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/replace/__init__.py
@@ -0,0 +1,8 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine text replace package root."""
+
+from .replace import text_replace
+
+__all__ = ["text_replace"]
diff --git a/graphrag/graphrag/index/verbs/text/replace/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/index/verbs/text/replace/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/index/verbs/text/replace/replace.py b/graphrag/graphrag/index/verbs/text/replace/replace.py
new file mode 100644
index 0000000000000000000000000000000000000000..386fac34594fccf5d7dbe4124e3db62f2a47c9b9
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/replace/replace.py
@@ -0,0 +1,47 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing replace and _apply_replacements methods."""
+
+from typing import cast
+
+import pandas as pd
+from datashaper import TableContainer, VerbInput, verb
+
+from .typing import Replacement
+
+
+@verb(name="text_replace")
+def text_replace(
+    input: VerbInput,
+    column: str,
+    to: str,
+    replacements: list[dict[str, str]],
+    **_kwargs: dict,
+) -> TableContainer:
+    """
+    Apply a set of replacements to a piece of text.
+
+    ## Usage
+    ```yaml
+    verb: text_replace
+    args:
+        column: <column name> # The name of the column containing the text to replace
+        to: <column name> # The name of the column to write the replaced text to
+        replacements: # A list of replacements to apply
+            - pattern: <string> # The regex pattern to find
+            replacement: <string> # The string to replace with
+    ```
+    """
+    output = cast(pd.DataFrame, input.get_input())
+    parsed_replacements = [Replacement(**r) for r in replacements]
+    output[to] = output[column].apply(
+        lambda text: _apply_replacements(text, parsed_replacements)
+    )
+    return TableContainer(table=output)
+
+
+def _apply_replacements(text: str, replacements: list[Replacement]) -> str:
+    for r in replacements:
+        text = text.replace(r.pattern, r.replacement)
+    return text
diff --git a/graphrag/graphrag/index/verbs/text/replace/typing.py b/graphrag/graphrag/index/verbs/text/replace/typing.py
new file mode 100644
index 0000000000000000000000000000000000000000..45beef9f2832130fe8c42a09c83816663af6d2ca
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/replace/typing.py
@@ -0,0 +1,14 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'Replacement' model."""
+
+from dataclasses import dataclass
+
+
+@dataclass
+class Replacement:
+    """Replacement class definition."""
+
+    pattern: str
+    replacement: str
diff --git a/graphrag/graphrag/index/verbs/text/split.py b/graphrag/graphrag/index/verbs/text/split.py
new file mode 100644
index 0000000000000000000000000000000000000000..b1339ff4551814425a691d66379990cefe475d4e
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/split.py
@@ -0,0 +1,54 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing the text_split method definition."""
+
+from typing import cast
+
+import pandas as pd
+from datashaper import TableContainer, VerbInput, verb
+
+
+@verb(name="text_split")
+def text_split(
+    input: VerbInput,
+    column: str,
+    to: str,
+    separator: str = ",",
+    **_kwargs: dict,
+) -> TableContainer:
+    """
+    Split a piece of text into a list of strings based on a delimiter. The verb outputs a new column containing a list of strings.
+
+    ## Usage
+
+    ```yaml
+    verb: text_split
+    args:
+        column: text # The name of the column containing the text to split
+        to: split_text # The name of the column to output the split text to
+        separator: "," # The separator to split the text on, defaults to ","
+    ```
+    """
+    output = text_split_df(cast(pd.DataFrame, input.get_input()), column, to, separator)
+    return TableContainer(table=output)
+
+
+def text_split_df(
+    input: pd.DataFrame, column: str, to: str, separator: str = ","
+) -> pd.DataFrame:
+    """Split a column into a list of strings."""
+    output = input
+
+    def _apply_split(row):
+        if row[column] is None or isinstance(row[column], list):
+            return row[column]
+        if row[column] == "":
+            return []
+        if not isinstance(row[column], str):
+            message = f"Expected {column} to be a string, but got {type(row[column])}"
+            raise TypeError(message)
+        return row[column].split(separator)
+
+    output[to] = output.apply(_apply_split, axis=1)
+    return output
diff --git a/graphrag/graphrag/index/verbs/text/translate/__init__.py b/graphrag/graphrag/index/verbs/text/translate/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..ad830dfa87d20451352c09acd1f0075252f6e624
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/translate/__init__.py
@@ -0,0 +1,8 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine text translate package root."""
+
+from .text_translate import text_translate
+
+__all__ = ["text_translate"]
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diff --git a/graphrag/graphrag/index/verbs/text/translate/strategies/__init__.py b/graphrag/graphrag/index/verbs/text/translate/strategies/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..d418bbae283c48ff5f82afcfc202d2a059572e71
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/translate/strategies/__init__.py
@@ -0,0 +1,9 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine translate strategies package root."""
+
+from .mock import run as run_mock
+from .openai import run as run_openai
+
+__all__ = ["run_mock", "run_openai"]
diff --git a/graphrag/graphrag/index/verbs/text/translate/strategies/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/index/verbs/text/translate/strategies/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/index/verbs/text/translate/strategies/defaults.py b/graphrag/graphrag/index/verbs/text/translate/strategies/defaults.py
new file mode 100644
index 0000000000000000000000000000000000000000..003e00eb1ff7229404694c7cf72b2f154e392646
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/translate/strategies/defaults.py
@@ -0,0 +1,8 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A file containing TRANSLATION_PROMPT value definition."""
+
+TRANSLATION_PROMPT = """
+    You are a helpful assistant. Translate into {language} the following text, and make sure all of the text is in {language}.
+    """.strip()
diff --git a/graphrag/graphrag/index/verbs/text/translate/strategies/mock.py b/graphrag/graphrag/index/verbs/text/translate/strategies/mock.py
new file mode 100644
index 0000000000000000000000000000000000000000..58a5a9995e900c3dd044db1998046c04c45253ff
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/translate/strategies/mock.py
@@ -0,0 +1,28 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing run and _summarize_text methods definitions."""
+
+from typing import Any
+
+from datashaper import VerbCallbacks
+
+from graphrag.index.cache import PipelineCache
+
+from .typing import TextTranslationResult
+
+
+async def run(  # noqa RUF029 async is required for interface
+    input: str | list[str],
+    _args: dict[str, Any],
+    _reporter: VerbCallbacks,
+    _cache: PipelineCache,
+) -> TextTranslationResult:
+    """Run the Claim extraction chain."""
+    input = [input] if isinstance(input, str) else input
+    return TextTranslationResult(translations=[_translate_text(text) for text in input])
+
+
+def _translate_text(text: str) -> str:
+    """Translate a single piece of text."""
+    return f"{text} translated"
diff --git a/graphrag/graphrag/index/verbs/text/translate/strategies/openai.py b/graphrag/graphrag/index/verbs/text/translate/strategies/openai.py
new file mode 100644
index 0000000000000000000000000000000000000000..49c47b34a2ec21b8d0f0b0bc809eb7c07a99546e
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/translate/strategies/openai.py
@@ -0,0 +1,93 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing run, _translate_text and _create_translation_prompt methods definition."""
+
+import logging
+import traceback
+from typing import Any
+
+from datashaper import VerbCallbacks
+
+import graphrag.config.defaults as defs
+from graphrag.config.enums import LLMType
+from graphrag.index.cache import PipelineCache
+from graphrag.index.llm import load_llm
+from graphrag.index.text_splitting import TokenTextSplitter
+from graphrag.llm import CompletionLLM
+
+from .defaults import TRANSLATION_PROMPT as DEFAULT_TRANSLATION_PROMPT
+from .typing import TextTranslationResult
+
+log = logging.getLogger(__name__)
+
+
+async def run(
+    input: str | list[str],
+    args: dict[str, Any],
+    callbacks: VerbCallbacks,
+    pipeline_cache: PipelineCache,
+) -> TextTranslationResult:
+    """Run the Claim extraction chain."""
+    llm_config = args.get("llm", {"type": LLMType.StaticResponse})
+    llm_type = llm_config.get("type", LLMType.StaticResponse)
+    llm = load_llm(
+        "text_translation",
+        llm_type,
+        callbacks,
+        pipeline_cache,
+        llm_config,
+        chat_only=True,
+    )
+    language = args.get("language", "English")
+    prompt = args.get("prompt")
+    chunk_size = args.get("chunk_size", defs.CHUNK_SIZE)
+    chunk_overlap = args.get("chunk_overlap", defs.CHUNK_OVERLAP)
+
+    input = [input] if isinstance(input, str) else input
+    return TextTranslationResult(
+        translations=[
+            await _translate_text(
+                text, language, prompt, llm, chunk_size, chunk_overlap, callbacks
+            )
+            for text in input
+        ]
+    )
+
+
+async def _translate_text(
+    text: str,
+    language: str,
+    prompt: str | None,
+    llm: CompletionLLM,
+    chunk_size: int,
+    chunk_overlap: int,
+    callbacks: VerbCallbacks,
+) -> str:
+    """Translate a single piece of text."""
+    splitter = TokenTextSplitter(
+        chunk_size=chunk_size,
+        chunk_overlap=chunk_overlap,
+    )
+
+    out = ""
+    chunks = splitter.split_text(text)
+    for chunk in chunks:
+        try:
+            result = await llm(
+                chunk,
+                history=[
+                    {
+                        "role": "system",
+                        "content": (prompt or DEFAULT_TRANSLATION_PROMPT),
+                    }
+                ],
+                variables={"language": language},
+            )
+            out += result.output or ""
+        except Exception as e:
+            log.exception("error translating text")
+            callbacks.error("Error translating text", e, traceback.format_exc())
+            out += ""
+
+    return out
diff --git a/graphrag/graphrag/index/verbs/text/translate/strategies/typing.py b/graphrag/graphrag/index/verbs/text/translate/strategies/typing.py
new file mode 100644
index 0000000000000000000000000000000000000000..d91ed735f59a14aba15a8e287b5df401f56a692a
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/translate/strategies/typing.py
@@ -0,0 +1,25 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'TextTranslationResult' model."""
+
+from collections.abc import Awaitable, Callable
+from dataclasses import dataclass
+from typing import Any
+
+from datashaper import VerbCallbacks
+
+from graphrag.index.cache import PipelineCache
+
+
+@dataclass
+class TextTranslationResult:
+    """Text translation result class definition."""
+
+    translations: list[str]
+
+
+TextTranslationStrategy = Callable[
+    [list[str], dict[str, Any], VerbCallbacks, PipelineCache],
+    Awaitable[TextTranslationResult],
+]
diff --git a/graphrag/graphrag/index/verbs/text/translate/text_translate.py b/graphrag/graphrag/index/verbs/text/translate/text_translate.py
new file mode 100644
index 0000000000000000000000000000000000000000..8d0faffefa64da6c42de8eecef0e9e9c694dd647
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/text/translate/text_translate.py
@@ -0,0 +1,120 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing text_translate methods definition."""
+
+from enum import Enum
+from typing import Any, cast
+
+import pandas as pd
+from datashaper import (
+    AsyncType,
+    TableContainer,
+    VerbCallbacks,
+    VerbInput,
+    derive_from_rows,
+    verb,
+)
+
+from graphrag.index.cache import PipelineCache
+
+from .strategies.typing import TextTranslationStrategy
+
+
+class TextTranslateStrategyType(str, Enum):
+    """TextTranslateStrategyType class definition."""
+
+    openai = "openai"
+    mock = "mock"
+
+    def __repr__(self):
+        """Get a string representation."""
+        return f'"{self.value}"'
+
+
+@verb(name="text_translate")
+async def text_translate(
+    input: VerbInput,
+    cache: PipelineCache,
+    callbacks: VerbCallbacks,
+    text_column: str,
+    to: str,
+    strategy: dict[str, Any],
+    async_mode: AsyncType = AsyncType.AsyncIO,
+    **kwargs,
+) -> TableContainer:
+    """
+    Translate a piece of text into another language.
+
+    ## Usage
+    ```yaml
+    verb: text_translate
+    args:
+        text_column: <column name> # The name of the column containing the text to translate
+        to: <column name> # The name of the column to write the translated text to
+        strategy: <strategy config> # The strategy to use to translate the text, see below for more details
+    ```
+
+    ## Strategies
+    The text translate verb uses a strategy to translate the text. The strategy is an object which defines the strategy to use. The following strategies are available:
+
+    ### openai
+    This strategy uses openai to translate a piece of text. In particular it uses a LLM to translate a piece of text. The strategy config is as follows:
+
+    ```yaml
+    strategy:
+        type: openai
+        language: english # The language to translate to, default: english
+        prompt: <prompt> # The prompt to use for the translation, default: None
+        chunk_size: 2500 # The chunk size to use for the translation, default: 2500
+        chunk_overlap: 0 # The chunk overlap to use for the translation, default: 0
+        llm: # The configuration for the LLM
+            type: openai_chat # the type of llm to use, available options are: openai_chat, azure_openai_chat
+            api_key: !ENV ${GRAPHRAG_OPENAI_API_KEY} # The api key to use for openai
+            model: !ENV ${GRAPHRAG_OPENAI_MODEL:gpt-4-turbo-preview} # The model to use for openai
+            max_tokens: !ENV ${GRAPHRAG_MAX_TOKENS:6000} # The max tokens to use for openai
+            organization: !ENV ${GRAPHRAG_OPENAI_ORGANIZATION} # The organization to use for openai
+    ```
+    """
+    output_df = cast(pd.DataFrame, input.get_input())
+    strategy_type = strategy["type"]
+    strategy_args = {**strategy}
+    strategy_exec = _load_strategy(strategy_type)
+
+    async def run_strategy(row):
+        text = row[text_column]
+        result = await strategy_exec(text, strategy_args, callbacks, cache)
+
+        # If it is a single string, then return just the translation for that string
+        if isinstance(text, str):
+            return result.translations[0]
+
+        # Otherwise, return a list of translations, one for each item in the input
+        return list(result.translations)
+
+    results = await derive_from_rows(
+        output_df,
+        run_strategy,
+        callbacks,
+        scheduling_type=async_mode,
+        num_threads=kwargs.get("num_threads", 4),
+    )
+    output_df[to] = results
+    return TableContainer(table=output_df)
+
+
+def _load_strategy(strategy: TextTranslateStrategyType) -> TextTranslationStrategy:
+    match strategy:
+        case TextTranslateStrategyType.openai:
+            from .strategies.openai import run as run_openai
+
+            return run_openai
+
+        case TextTranslateStrategyType.mock:
+            from .strategies.mock import run as run_mock
+
+            return run_mock
+
+        case _:
+            msg = f"Unknown strategy: {strategy}"
+            raise ValueError(msg)
diff --git a/graphrag/graphrag/index/verbs/unzip.py b/graphrag/graphrag/index/verbs/unzip.py
new file mode 100644
index 0000000000000000000000000000000000000000..4d8c8da08e6278ff669aa909c5017f573f0f26d9
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/unzip.py
@@ -0,0 +1,25 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing unzip method definition."""
+
+from typing import cast
+
+import pandas as pd
+from datashaper import TableContainer, VerbInput, verb
+
+
+# TODO: Check if this is already a thing
+# Takes 1|(x,y)|b
+# and converts to
+# 1|x|y|b
+@verb(name="unzip")
+def unzip(
+    input: VerbInput, column: str, to: list[str], **_kwargs: dict
+) -> TableContainer:
+    """Unpacks a column containing a tuple into multiple columns."""
+    table = cast(pd.DataFrame, input.get_input())
+
+    table[to] = pd.DataFrame(table[column].tolist(), index=table.index)
+
+    return TableContainer(table=table)
diff --git a/graphrag/graphrag/index/verbs/zip.py b/graphrag/graphrag/index/verbs/zip.py
new file mode 100644
index 0000000000000000000000000000000000000000..462395d3da17b98f9f503a4732427b3351c6c47a
--- /dev/null
+++ b/graphrag/graphrag/index/verbs/zip.py
@@ -0,0 +1,51 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing ds_zip method definition."""
+
+from typing import cast
+
+import pandas as pd
+from datashaper import TableContainer, VerbInput, verb
+
+
+@verb(name="zip")
+def zip_verb(
+    input: VerbInput,
+    to: str,
+    columns: list[str],
+    type: str | None = None,  # noqa A002
+    **_kwargs: dict,
+) -> TableContainer:
+    """
+    Zip columns together.
+
+    ## Usage
+    TODO
+
+    """
+    table = cast(pd.DataFrame, input.get_input())
+    if type is None:
+        table[to] = list(zip(*[table[col] for col in columns], strict=True))
+
+    # This one is a little weird
+    elif type == "dict":
+        if len(columns) != 2:
+            msg = f"Expected exactly two columns for a dict, got {columns}"
+            raise ValueError(msg)
+        key_col, value_col = columns
+
+        results = []
+        for _, row in table.iterrows():
+            keys = row[key_col]
+            values = row[value_col]
+            output = {}
+            if len(keys) != len(values):
+                msg = f"Expected same number of keys and values, got {len(keys)} keys and {len(values)} values"
+                raise ValueError(msg)
+            for idx, key in enumerate(keys):
+                output[key] = values[idx]
+            results.append(output)
+
+        table[to] = results
+    return TableContainer(table=table.reset_index(drop=True))
diff --git a/graphrag/graphrag/index/workflows/__init__.py b/graphrag/graphrag/index/workflows/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..ed580309a8dc14b313131ba6cc3b29cbf2ec99a4
--- /dev/null
+++ b/graphrag/graphrag/index/workflows/__init__.py
@@ -0,0 +1,25 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine workflows package root."""
+
+from .load import create_workflow, load_workflows
+from .typing import (
+    StepDefinition,
+    VerbDefinitions,
+    VerbTiming,
+    WorkflowConfig,
+    WorkflowDefinitions,
+    WorkflowToRun,
+)
+
+__all__ = [
+    "StepDefinition",
+    "VerbDefinitions",
+    "VerbTiming",
+    "WorkflowConfig",
+    "WorkflowDefinitions",
+    "WorkflowToRun",
+    "create_workflow",
+    "load_workflows",
+]
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diff --git a/graphrag/graphrag/index/workflows/default_workflows.py b/graphrag/graphrag/index/workflows/default_workflows.py
new file mode 100644
index 0000000000000000000000000000000000000000..81112bee32f5b8a206b10ac83c19e8f76e96d1c4
--- /dev/null
+++ b/graphrag/graphrag/index/workflows/default_workflows.py
@@ -0,0 +1,121 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A package containing default workflows definitions."""
+
+from .typing import WorkflowDefinitions
+from .v1.create_base_documents import (
+    build_steps as build_create_base_documents_steps,
+)
+from .v1.create_base_documents import (
+    workflow_name as create_base_documents,
+)
+from .v1.create_base_entity_graph import (
+    build_steps as build_create_base_entity_graph_steps,
+)
+from .v1.create_base_entity_graph import (
+    workflow_name as create_base_entity_graph,
+)
+from .v1.create_base_extracted_entities import (
+    build_steps as build_create_base_extracted_entities_steps,
+)
+from .v1.create_base_extracted_entities import (
+    workflow_name as create_base_extracted_entities,
+)
+from .v1.create_base_text_units import (
+    build_steps as build_create_base_text_units_steps,
+)
+from .v1.create_base_text_units import (
+    workflow_name as create_base_text_units,
+)
+from .v1.create_final_communities import (
+    build_steps as build_create_final_communities_steps,
+)
+from .v1.create_final_communities import (
+    workflow_name as create_final_communities,
+)
+from .v1.create_final_community_reports import (
+    build_steps as build_create_final_community_reports_steps,
+)
+from .v1.create_final_community_reports import (
+    workflow_name as create_final_community_reports,
+)
+from .v1.create_final_covariates import (
+    build_steps as build_create_final_covariates_steps,
+)
+from .v1.create_final_covariates import (
+    workflow_name as create_final_covariates,
+)
+from .v1.create_final_documents import (
+    build_steps as build_create_final_documents_steps,
+)
+from .v1.create_final_documents import (
+    workflow_name as create_final_documents,
+)
+from .v1.create_final_entities import (
+    build_steps as build_create_final_entities_steps,
+)
+from .v1.create_final_entities import (
+    workflow_name as create_final_entities,
+)
+from .v1.create_final_nodes import (
+    build_steps as build_create_final_nodes_steps,
+)
+from .v1.create_final_nodes import (
+    workflow_name as create_final_nodes,
+)
+from .v1.create_final_relationships import (
+    build_steps as build_create_final_relationships_steps,
+)
+from .v1.create_final_relationships import (
+    workflow_name as create_final_relationships,
+)
+from .v1.create_final_text_units import (
+    build_steps as build_create_final_text_units,
+)
+from .v1.create_final_text_units import (
+    workflow_name as create_final_text_units,
+)
+from .v1.create_summarized_entities import (
+    build_steps as build_create_summarized_entities_steps,
+)
+from .v1.create_summarized_entities import (
+    workflow_name as create_summarized_entities,
+)
+from .v1.join_text_units_to_covariate_ids import (
+    build_steps as join_text_units_to_covariate_ids_steps,
+)
+from .v1.join_text_units_to_covariate_ids import (
+    workflow_name as join_text_units_to_covariate_ids,
+)
+from .v1.join_text_units_to_entity_ids import (
+    build_steps as join_text_units_to_entity_ids_steps,
+)
+from .v1.join_text_units_to_entity_ids import (
+    workflow_name as join_text_units_to_entity_ids,
+)
+from .v1.join_text_units_to_relationship_ids import (
+    build_steps as join_text_units_to_relationship_ids_steps,
+)
+from .v1.join_text_units_to_relationship_ids import (
+    workflow_name as join_text_units_to_relationship_ids,
+)
+
+default_workflows: WorkflowDefinitions = {
+    create_base_extracted_entities: build_create_base_extracted_entities_steps,
+    create_base_entity_graph: build_create_base_entity_graph_steps,
+    create_base_text_units: build_create_base_text_units_steps,
+    create_final_text_units: build_create_final_text_units,
+    create_final_community_reports: build_create_final_community_reports_steps,
+    create_final_nodes: build_create_final_nodes_steps,
+    create_final_relationships: build_create_final_relationships_steps,
+    create_final_documents: build_create_final_documents_steps,
+    create_final_covariates: build_create_final_covariates_steps,
+    create_base_documents: build_create_base_documents_steps,
+    create_final_entities: build_create_final_entities_steps,
+    create_final_communities: build_create_final_communities_steps,
+    create_summarized_entities: build_create_summarized_entities_steps,
+    join_text_units_to_entity_ids: join_text_units_to_entity_ids_steps,
+    join_text_units_to_covariate_ids: join_text_units_to_covariate_ids_steps,
+    join_text_units_to_relationship_ids: join_text_units_to_relationship_ids_steps,
+}
diff --git a/graphrag/graphrag/index/workflows/load.py b/graphrag/graphrag/index/workflows/load.py
new file mode 100644
index 0000000000000000000000000000000000000000..4dd6f9bfd099388f963fbece22027239a5d24174
--- /dev/null
+++ b/graphrag/graphrag/index/workflows/load.py
@@ -0,0 +1,171 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing load_workflows, create_workflow, _get_steps_for_workflow and _remove_disabled_steps methods definition."""
+
+from __future__ import annotations
+
+import logging
+from collections.abc import Callable
+from typing import TYPE_CHECKING, Any, NamedTuple, cast
+
+from datashaper import Workflow
+
+from graphrag.index.errors import (
+    NoWorkflowsDefinedError,
+    UndefinedWorkflowError,
+    UnknownWorkflowError,
+)
+from graphrag.index.utils import topological_sort
+
+from .default_workflows import default_workflows as _default_workflows
+from .typing import VerbDefinitions, WorkflowDefinitions, WorkflowToRun
+
+if TYPE_CHECKING:
+    from graphrag.index.config import (
+        PipelineWorkflowConfig,
+        PipelineWorkflowReference,
+        PipelineWorkflowStep,
+    )
+
+anonymous_workflow_count = 0
+
+VerbFn = Callable[..., Any]
+log = logging.getLogger(__name__)
+
+
+class LoadWorkflowResult(NamedTuple):
+    """A workflow loading result object."""
+
+    workflows: list[WorkflowToRun]
+    """The loaded workflow names in the order they should be run."""
+
+    dependencies: dict[str, list[str]]
+    """A dictionary of workflow name to workflow dependencies."""
+
+
+def load_workflows(
+    workflows_to_load: list[PipelineWorkflowReference],
+    additional_verbs: VerbDefinitions | None = None,
+    additional_workflows: WorkflowDefinitions | None = None,
+    memory_profile: bool = False,
+) -> LoadWorkflowResult:
+    """Load the given workflows.
+
+    Args:
+        - workflows_to_load - The workflows to load
+        - additional_verbs - The list of custom verbs available to the workflows
+        - additional_workflows - The list of custom workflows
+    Returns:
+        - output[0] - The loaded workflow names in the order they should be run
+        - output[1] - A dictionary of workflow name to workflow dependencies
+    """
+    workflow_graph: dict[str, WorkflowToRun] = {}
+
+    global anonymous_workflow_count
+    for reference in workflows_to_load:
+        name = reference.name
+        is_anonymous = name is None or name.strip() == ""
+        if is_anonymous:
+            name = f"Anonymous Workflow {anonymous_workflow_count}"
+            anonymous_workflow_count += 1
+        name = cast(str, name)
+
+        config = reference.config
+        workflow = create_workflow(
+            name or "MISSING NAME!",
+            reference.steps,
+            config,
+            additional_verbs,
+            additional_workflows,
+        )
+        workflow_graph[name] = WorkflowToRun(workflow, config=config or {})
+
+    # Backfill any missing workflows
+    for name in list(workflow_graph.keys()):
+        workflow = workflow_graph[name]
+        deps = [
+            d.replace("workflow:", "")
+            for d in workflow.workflow.dependencies
+            if d.startswith("workflow:")
+        ]
+        for dependency in deps:
+            if dependency not in workflow_graph:
+                reference = {"name": dependency, **workflow.config}
+                workflow_graph[dependency] = WorkflowToRun(
+                    workflow=create_workflow(
+                        dependency,
+                        config=reference,
+                        additional_verbs=additional_verbs,
+                        additional_workflows=additional_workflows,
+                        memory_profile=memory_profile,
+                    ),
+                    config=reference,
+                )
+
+    # Run workflows in order of dependencies
+    def filter_wf_dependencies(name: str) -> list[str]:
+        externals = [
+            e.replace("workflow:", "")
+            for e in workflow_graph[name].workflow.dependencies
+        ]
+        return [e for e in externals if e in workflow_graph]
+
+    task_graph = {name: filter_wf_dependencies(name) for name in workflow_graph}
+    workflow_run_order = topological_sort(task_graph)
+    workflows = [workflow_graph[name] for name in workflow_run_order]
+    log.info("Workflow Run Order: %s", workflow_run_order)
+    return LoadWorkflowResult(workflows=workflows, dependencies=task_graph)
+
+
+def create_workflow(
+    name: str,
+    steps: list[PipelineWorkflowStep] | None = None,
+    config: PipelineWorkflowConfig | None = None,
+    additional_verbs: VerbDefinitions | None = None,
+    additional_workflows: WorkflowDefinitions | None = None,
+    memory_profile: bool = False,
+) -> Workflow:
+    """Create a workflow from the given config."""
+    additional_workflows = {
+        **_default_workflows,
+        **(additional_workflows or {}),
+    }
+    steps = steps or _get_steps_for_workflow(name, config, additional_workflows)
+    steps = _remove_disabled_steps(steps)
+    return Workflow(
+        verbs=additional_verbs or {},
+        schema={
+            "name": name,
+            "steps": steps,
+        },
+        validate=False,
+        memory_profile=memory_profile,
+    )
+
+
+def _get_steps_for_workflow(
+    name: str | None,
+    config: PipelineWorkflowConfig | None,
+    workflows: dict[str, Callable] | None,
+) -> list[PipelineWorkflowStep]:
+    """Get the steps for the given workflow config."""
+    if config is not None and "steps" in config:
+        return config["steps"]
+
+    if workflows is None:
+        raise NoWorkflowsDefinedError
+
+    if name is None:
+        raise UndefinedWorkflowError
+
+    if name not in workflows:
+        raise UnknownWorkflowError(name)
+
+    return workflows[name](config or {})
+
+
+def _remove_disabled_steps(
+    steps: list[PipelineWorkflowStep],
+) -> list[PipelineWorkflowStep]:
+    return [step for step in steps if step.get("enabled", True)]
diff --git a/graphrag/graphrag/index/workflows/typing.py b/graphrag/graphrag/index/workflows/typing.py
new file mode 100644
index 0000000000000000000000000000000000000000..3b44545bd4fc4c77eb211188f4fee9a742f96319
--- /dev/null
+++ b/graphrag/graphrag/index/workflows/typing.py
@@ -0,0 +1,33 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing 'WorkflowToRun' model."""
+
+from collections.abc import Callable
+from dataclasses import dataclass as dc_dataclass
+from typing import Any
+
+from datashaper import TableContainer, Workflow
+
+StepDefinition = dict[str, Any]
+"""A step definition."""
+
+VerbDefinitions = dict[str, Callable[..., TableContainer]]
+"""A mapping of verb names to their implementations."""
+
+WorkflowConfig = dict[str, Any]
+"""A workflow configuration."""
+
+WorkflowDefinitions = dict[str, Callable[[WorkflowConfig], list[StepDefinition]]]
+"""A mapping of workflow names to their implementations."""
+
+VerbTiming = dict[str, float]
+"""The timings of verbs by id."""
+
+
+@dc_dataclass
+class WorkflowToRun:
+    """Workflow to run class definition."""
+
+    workflow: Workflow
+    config: dict[str, Any]
diff --git a/graphrag/graphrag/index/workflows/v1/__init__.py b/graphrag/graphrag/index/workflows/v1/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..69518f5ee2ce0440d8d57272b510af22dc5b7417
--- /dev/null
+++ b/graphrag/graphrag/index/workflows/v1/__init__.py
@@ -0,0 +1,4 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Indexing Engine workflows package root."""
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diff --git a/graphrag/graphrag/index/workflows/v1/create_base_documents.py b/graphrag/graphrag/index/workflows/v1/create_base_documents.py
new file mode 100644
index 0000000000000000000000000000000000000000..bd7094c64adc195bbe104c1deb206e79fb569ca6
--- /dev/null
+++ b/graphrag/graphrag/index/workflows/v1/create_base_documents.py
@@ -0,0 +1,105 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing build_steps method definition."""
+
+from datashaper import DEFAULT_INPUT_NAME
+
+from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep
+
+workflow_name = "create_base_documents"
+
+
+def build_steps(
+    config: PipelineWorkflowConfig,
+) -> list[PipelineWorkflowStep]:
+    """
+    Create the documents table.
+
+    ## Dependencies
+    * `workflow:create_final_text_units`
+    """
+    document_attribute_columns = config.get("document_attribute_columns", [])
+    return [
+        {
+            "verb": "unroll",
+            "args": {"column": "document_ids"},
+            "input": {"source": "workflow:create_final_text_units"},
+        },
+        {
+            "verb": "select",
+            "args": {
+                # We only need the chunk id and the document id
+                "columns": ["id", "document_ids", "text"]
+            },
+        },
+        {
+            "id": "rename_chunk_doc_id",
+            "verb": "rename",
+            "args": {
+                "columns": {
+                    "document_ids": "chunk_doc_id",
+                    "id": "chunk_id",
+                    "text": "chunk_text",
+                }
+            },
+        },
+        {
+            "verb": "join",
+            "args": {
+                # Join the doc id from the chunk onto the original document
+                "on": ["chunk_doc_id", "id"]
+            },
+            "input": {"source": "rename_chunk_doc_id", "others": [DEFAULT_INPUT_NAME]},
+        },
+        {
+            "id": "docs_with_text_units",
+            "verb": "aggregate_override",
+            "args": {
+                "groupby": ["id"],
+                "aggregations": [
+                    {
+                        "column": "chunk_id",
+                        "operation": "array_agg",
+                        "to": "text_units",
+                    }
+                ],
+            },
+        },
+        {
+            "verb": "join",
+            "args": {
+                "on": ["id", "id"],
+                "strategy": "right outer",
+            },
+            "input": {
+                "source": "docs_with_text_units",
+                "others": [DEFAULT_INPUT_NAME],
+            },
+        },
+        {
+            "verb": "rename",
+            "args": {"columns": {"text": "raw_content"}},
+        },
+        *[
+            {
+                "verb": "convert",
+                "args": {
+                    "column": column,
+                    "to": column,
+                    "type": "string",
+                },
+            }
+            for column in document_attribute_columns
+        ],
+        {
+            "verb": "merge_override",
+            "enabled": len(document_attribute_columns) > 0,
+            "args": {
+                "columns": document_attribute_columns,
+                "strategy": "json",
+                "to": "attributes",
+            },
+        },
+        {"verb": "convert", "args": {"column": "id", "to": "id", "type": "string"}},
+    ]
diff --git a/graphrag/graphrag/index/workflows/v1/create_base_entity_graph.py b/graphrag/graphrag/index/workflows/v1/create_base_entity_graph.py
new file mode 100644
index 0000000000000000000000000000000000000000..b001aad21896bb519d71015cba21d1d2e435066d
--- /dev/null
+++ b/graphrag/graphrag/index/workflows/v1/create_base_entity_graph.py
@@ -0,0 +1,91 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing build_steps method definition."""
+
+from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep
+
+workflow_name = "create_base_entity_graph"
+
+
+def build_steps(
+    config: PipelineWorkflowConfig,
+) -> list[PipelineWorkflowStep]:
+    """
+    Create the base table for the entity graph.
+
+    ## Dependencies
+    * `workflow:create_base_extracted_entities`
+    """
+    clustering_config = config.get(
+        "cluster_graph",
+        {"strategy": {"type": "leiden"}},
+    )
+    embed_graph_config = config.get(
+        "embed_graph",
+        {
+            "strategy": {
+                "type": "node2vec",
+                "num_walks": config.get("embed_num_walks", 10),
+                "walk_length": config.get("embed_walk_length", 40),
+                "window_size": config.get("embed_window_size", 2),
+                "iterations": config.get("embed_iterations", 3),
+                "random_seed": config.get("embed_random_seed", 86),
+            }
+        },
+    )
+
+    graphml_snapshot_enabled = config.get("graphml_snapshot", False) or False
+    embed_graph_enabled = config.get("embed_graph_enabled", False) or False
+
+    return [
+        {
+            "verb": "cluster_graph",
+            "args": {
+                **clustering_config,
+                "column": "entity_graph",
+                "to": "clustered_graph",
+                "level_to": "level",
+            },
+            "input": ({"source": "workflow:create_summarized_entities"}),
+        },
+        {
+            "verb": "snapshot_rows",
+            "enabled": graphml_snapshot_enabled,
+            "args": {
+                "base_name": "clustered_graph",
+                "column": "clustered_graph",
+                "formats": [{"format": "text", "extension": "graphml"}],
+            },
+        },
+        {
+            "verb": "embed_graph",
+            "enabled": embed_graph_enabled,
+            "args": {
+                "column": "clustered_graph",
+                "to": "embeddings",
+                **embed_graph_config,
+            },
+        },
+        {
+            "verb": "snapshot_rows",
+            "enabled": graphml_snapshot_enabled,
+            "args": {
+                "base_name": "embedded_graph",
+                "column": "entity_graph",
+                "formats": [{"format": "text", "extension": "graphml"}],
+            },
+        },
+        {
+            "verb": "select",
+            "args": {
+                # only selecting for documentation sake, so we know what is contained in
+                # this workflow
+                "columns": (
+                    ["level", "clustered_graph", "embeddings"]
+                    if embed_graph_enabled
+                    else ["level", "clustered_graph"]
+                ),
+            },
+        },
+    ]
diff --git a/graphrag/graphrag/index/workflows/v1/create_base_extracted_entities.py b/graphrag/graphrag/index/workflows/v1/create_base_extracted_entities.py
new file mode 100644
index 0000000000000000000000000000000000000000..30d608e9fd4ab7815a43d1c4592cf002bd308072
--- /dev/null
+++ b/graphrag/graphrag/index/workflows/v1/create_base_extracted_entities.py
@@ -0,0 +1,95 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing build_steps method definition."""
+
+from datashaper import AsyncType
+
+from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep
+
+workflow_name = "create_base_extracted_entities"
+
+
+def build_steps(
+    config: PipelineWorkflowConfig,
+) -> list[PipelineWorkflowStep]:
+    """
+    Create the base table for extracted entities.
+
+    ## Dependencies
+    * `workflow:create_base_text_units`
+    """
+    entity_extraction_config = config.get("entity_extract", {})
+    graphml_snapshot_enabled = config.get("graphml_snapshot", False) or False
+    raw_entity_snapshot_enabled = config.get("raw_entity_snapshot", False) or False
+
+    return [
+        {
+            "verb": "entity_extract",
+            "args": {
+                **entity_extraction_config,
+                "column": entity_extraction_config.get("text_column", "chunk"),
+                "id_column": entity_extraction_config.get("id_column", "chunk_id"),
+                "async_mode": entity_extraction_config.get(
+                    "async_mode", AsyncType.AsyncIO
+                ),
+                "to": "entities",
+                "graph_to": "entity_graph",
+            },
+            "input": {"source": "workflow:create_base_text_units"},
+        },
+        {
+            "verb": "snapshot",
+            "enabled": raw_entity_snapshot_enabled,
+            "args": {
+                "name": "raw_extracted_entities",
+                "formats": ["json"],
+            },
+        },
+        {
+            "verb": "merge_graphs",
+            "args": {
+                "column": "entity_graph",
+                "to": "entity_graph",
+                **config.get(
+                    "graph_merge_operations",
+                    {
+                        "nodes": {
+                            "source_id": {
+                                "operation": "concat",
+                                "delimiter": ", ",
+                                "distinct": True,
+                            },
+                            "description": ({
+                                "operation": "concat",
+                                "separator": "\n",
+                                "distinct": False,
+                            }),
+                        },
+                        "edges": {
+                            "source_id": {
+                                "operation": "concat",
+                                "delimiter": ", ",
+                                "distinct": True,
+                            },
+                            "description": ({
+                                "operation": "concat",
+                                "separator": "\n",
+                                "distinct": False,
+                            }),
+                            "weight": "sum",
+                        },
+                    },
+                ),
+            },
+        },
+        {
+            "verb": "snapshot_rows",
+            "enabled": graphml_snapshot_enabled,
+            "args": {
+                "base_name": "merged_graph",
+                "column": "entity_graph",
+                "formats": [{"format": "text", "extension": "graphml"}],
+            },
+        },
+    ]
diff --git a/graphrag/graphrag/index/workflows/v1/create_base_text_units.py b/graphrag/graphrag/index/workflows/v1/create_base_text_units.py
new file mode 100644
index 0000000000000000000000000000000000000000..63876e5e499785bc30da016273f2cb7659de01d2
--- /dev/null
+++ b/graphrag/graphrag/index/workflows/v1/create_base_text_units.py
@@ -0,0 +1,112 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing build_steps method definition."""
+
+from datashaper import DEFAULT_INPUT_NAME
+
+from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep
+
+workflow_name = "create_base_text_units"
+
+
+def build_steps(
+    config: PipelineWorkflowConfig,
+) -> list[PipelineWorkflowStep]:
+    """
+    Create the base table for text units.
+
+    ## Dependencies
+    None
+    """
+    chunk_column_name = config.get("chunk_column", "chunk")
+    chunk_by_columns = config.get("chunk_by", []) or []
+    n_tokens_column_name = config.get("n_tokens_column", "n_tokens")
+    return [
+        {
+            "verb": "orderby",
+            "args": {
+                "orders": [
+                    # sort for reproducibility
+                    {"column": "id", "direction": "asc"},
+                ]
+            },
+            "input": {"source": DEFAULT_INPUT_NAME},
+        },
+        {
+            "verb": "zip",
+            "args": {
+                # Pack the document ids with the text
+                # So when we unpack the chunks, we can restore the document id
+                "columns": ["id", "text"],
+                "to": "text_with_ids",
+            },
+        },
+        {
+            "verb": "aggregate_override",
+            "args": {
+                "groupby": [*chunk_by_columns] if len(chunk_by_columns) > 0 else None,
+                "aggregations": [
+                    {
+                        "column": "text_with_ids",
+                        "operation": "array_agg",
+                        "to": "texts",
+                    }
+                ],
+            },
+        },
+        {
+            "verb": "chunk",
+            "args": {"column": "texts", "to": "chunks", **config.get("text_chunk", {})},
+        },
+        {
+            "verb": "select",
+            "args": {
+                "columns": [*chunk_by_columns, "chunks"],
+            },
+        },
+        {
+            "verb": "unroll",
+            "args": {
+                "column": "chunks",
+            },
+        },
+        {
+            "verb": "rename",
+            "args": {
+                "columns": {
+                    "chunks": chunk_column_name,
+                }
+            },
+        },
+        {
+            "verb": "genid",
+            "args": {
+                # Generate a unique id for each chunk
+                "to": "chunk_id",
+                "method": "md5_hash",
+                "hash": [chunk_column_name],
+            },
+        },
+        {
+            "verb": "unzip",
+            "args": {
+                "column": chunk_column_name,
+                "to": ["document_ids", chunk_column_name, n_tokens_column_name],
+            },
+        },
+        {"verb": "copy", "args": {"column": "chunk_id", "to": "id"}},
+        {
+            # ELIMINATE EMPTY CHUNKS
+            "verb": "filter",
+            "args": {
+                "column": chunk_column_name,
+                "criteria": [
+                    {
+                        "type": "value",
+                        "operator": "is not empty",
+                    }
+                ],
+            },
+        },
+    ]
diff --git a/graphrag/graphrag/index/workflows/v1/create_final_communities.py b/graphrag/graphrag/index/workflows/v1/create_final_communities.py
new file mode 100644
index 0000000000000000000000000000000000000000..f8949dfcec055f142ca82b590511cb31ed0213fe
--- /dev/null
+++ b/graphrag/graphrag/index/workflows/v1/create_final_communities.py
@@ -0,0 +1,172 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing build_steps method definition."""
+
+from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep
+
+workflow_name = "create_final_communities"
+
+
+def build_steps(
+    _config: PipelineWorkflowConfig,
+) -> list[PipelineWorkflowStep]:
+    """
+    Create the final communities table.
+
+    ## Dependencies
+    * `workflow:create_base_entity_graph`
+    """
+    return [
+        {
+            "id": "graph_nodes",
+            "verb": "unpack_graph",
+            "args": {
+                "column": "clustered_graph",
+                "type": "nodes",
+            },
+            "input": {"source": "workflow:create_base_entity_graph"},
+        },
+        {
+            "id": "graph_edges",
+            "verb": "unpack_graph",
+            "args": {
+                "column": "clustered_graph",
+                "type": "edges",
+            },
+            "input": {"source": "workflow:create_base_entity_graph"},
+        },
+        {
+            "id": "source_clusters",
+            "verb": "join",
+            "args": {
+                "on": ["label", "source"],
+            },
+            "input": {"source": "graph_nodes", "others": ["graph_edges"]},
+        },
+        {
+            "id": "target_clusters",
+            "verb": "join",
+            "args": {
+                "on": ["label", "target"],
+            },
+            "input": {"source": "graph_nodes", "others": ["graph_edges"]},
+        },
+        {
+            "id": "concatenated_clusters",
+            "verb": "concat",
+            "input": {
+                "source": "source_clusters",
+                "others": ["target_clusters"],
+            },
+        },
+        {
+            "id": "combined_clusters",
+            "verb": "filter",
+            "args": {
+                # level_1 is the left side of the join
+                # level_2 is the right side of the join
+                "column": "level_1",
+                "criteria": [
+                    {"type": "column", "operator": "equals", "value": "level_2"}
+                ],
+            },
+            "input": {"source": "concatenated_clusters"},
+        },
+        {
+            "id": "cluster_relationships",
+            "verb": "aggregate_override",
+            "args": {
+                "groupby": [
+                    "cluster",
+                    "level_1",  # level_1 is the left side of the join
+                ],
+                "aggregations": [
+                    {
+                        "column": "id_2",  # this is the id of the edge from the join steps above
+                        "to": "relationship_ids",
+                        "operation": "array_agg_distinct",
+                    },
+                    {
+                        "column": "source_id_1",
+                        "to": "text_unit_ids",
+                        "operation": "array_agg_distinct",
+                    },
+                ],
+            },
+            "input": {"source": "combined_clusters"},
+        },
+        {
+            "id": "all_clusters",
+            "verb": "aggregate_override",
+            "args": {
+                "groupby": ["cluster", "level"],
+                "aggregations": [{"column": "cluster", "to": "id", "operation": "any"}],
+            },
+            "input": {"source": "graph_nodes"},
+        },
+        {
+            "verb": "join",
+            "args": {
+                "on": ["id", "cluster"],
+            },
+            "input": {"source": "all_clusters", "others": ["cluster_relationships"]},
+        },
+        {
+            "verb": "filter",
+            "args": {
+                # level is the left side of the join
+                # level_1 is the right side of the join
+                "column": "level",
+                "criteria": [
+                    {"type": "column", "operator": "equals", "value": "level_1"}
+                ],
+            },
+        },
+        *create_community_title_wf,
+        {
+            # TODO: Rodrigo says "raw_community" is temporary
+            "verb": "copy",
+            "args": {
+                "column": "id",
+                "to": "raw_community",
+            },
+        },
+        {
+            "verb": "select",
+            "args": {
+                "columns": [
+                    "id",
+                    "title",
+                    "level",
+                    "raw_community",
+                    "relationship_ids",
+                    "text_unit_ids",
+                ],
+            },
+        },
+    ]
+
+
+create_community_title_wf = [
+    # Hack to string concat "Community " + id
+    {
+        "verb": "fill",
+        "args": {
+            "to": "__temp",
+            "value": "Community ",
+        },
+    },
+    {
+        "verb": "merge",
+        "args": {
+            "columns": [
+                "__temp",
+                "id",
+            ],
+            "to": "title",
+            "strategy": "concat",
+            "preserveSource": True,
+        },
+    },
+]
diff --git a/graphrag/graphrag/index/workflows/v1/create_final_community_reports.py b/graphrag/graphrag/index/workflows/v1/create_final_community_reports.py
new file mode 100644
index 0000000000000000000000000000000000000000..164c70e0dd56519297c63f18bab3f59663350d4c
--- /dev/null
+++ b/graphrag/graphrag/index/workflows/v1/create_final_community_reports.py
@@ -0,0 +1,133 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing build_steps method definition."""
+
+from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep
+
+workflow_name = "create_final_community_reports"
+
+
+def build_steps(
+    config: PipelineWorkflowConfig,
+) -> list[PipelineWorkflowStep]:
+    """
+    Create the final community reports table.
+
+    ## Dependencies
+    * `workflow:create_base_entity_graph`
+    """
+    covariates_enabled = config.get("covariates_enabled", False)
+    create_community_reports_config = config.get("create_community_reports", {})
+    base_text_embed = config.get("text_embed", {})
+    community_report_full_content_embed_config = config.get(
+        "community_report_full_content_embed", base_text_embed
+    )
+    community_report_summary_embed_config = config.get(
+        "community_report_summary_embed", base_text_embed
+    )
+    community_report_title_embed_config = config.get(
+        "community_report_title_embed", base_text_embed
+    )
+    skip_title_embedding = config.get("skip_title_embedding", False)
+    skip_summary_embedding = config.get("skip_summary_embedding", False)
+    skip_full_content_embedding = config.get("skip_full_content_embedding", False)
+
+    return [
+        #
+        # Subworkflow: Prepare Nodes
+        #
+        {
+            "id": "nodes",
+            "verb": "prepare_community_reports_nodes",
+            "input": {"source": "workflow:create_final_nodes"},
+        },
+        #
+        # Subworkflow: Prepare Edges
+        #
+        {
+            "id": "edges",
+            "verb": "prepare_community_reports_edges",
+            "input": {"source": "workflow:create_final_relationships"},
+        },
+        #
+        # Subworkflow: Prepare Claims Table
+        #
+        {
+            "id": "claims",
+            "enabled": covariates_enabled,
+            "verb": "prepare_community_reports_claims",
+            "input": {
+                "source": "workflow:create_final_covariates",
+            }
+            if covariates_enabled
+            else {},
+        },
+        #
+        # Subworkflow: Get Community Hierarchy
+        #
+        {
+            "id": "community_hierarchy",
+            "verb": "restore_community_hierarchy",
+            "input": {"source": "nodes"},
+        },
+        #
+        # Main Workflow: Create Community Reports
+        #
+        {
+            "id": "local_contexts",
+            "verb": "prepare_community_reports",
+            "input": {
+                "source": "nodes",
+                "nodes": "nodes",
+                "edges": "edges",
+                **({"claims": "claims"} if covariates_enabled else {}),
+            },
+        },
+        {
+            "verb": "create_community_reports",
+            "args": {
+                **create_community_reports_config,
+            },
+            "input": {
+                "source": "local_contexts",
+                "community_hierarchy": "community_hierarchy",
+                "nodes": "nodes",
+            },
+        },
+        {
+            # Generate a unique ID for each community report distinct from the community ID
+            "verb": "window",
+            "args": {"to": "id", "operation": "uuid", "column": "community"},
+        },
+        {
+            "verb": "text_embed",
+            "enabled": not skip_full_content_embedding,
+            "args": {
+                "embedding_name": "community_report_full_content",
+                "column": "full_content",
+                "to": "full_content_embedding",
+                **community_report_full_content_embed_config,
+            },
+        },
+        {
+            "verb": "text_embed",
+            "enabled": not skip_summary_embedding,
+            "args": {
+                "embedding_name": "community_report_summary",
+                "column": "summary",
+                "to": "summary_embedding",
+                **community_report_summary_embed_config,
+            },
+        },
+        {
+            "verb": "text_embed",
+            "enabled": not skip_title_embedding,
+            "args": {
+                "embedding_name": "community_report_title",
+                "column": "title",
+                "to": "title_embedding",
+                **community_report_title_embed_config,
+            },
+        },
+    ]
diff --git a/graphrag/graphrag/index/workflows/v1/create_final_covariates.py b/graphrag/graphrag/index/workflows/v1/create_final_covariates.py
new file mode 100644
index 0000000000000000000000000000000000000000..d1090e5054e363e60ea671ccdeec94810d397549
--- /dev/null
+++ b/graphrag/graphrag/index/workflows/v1/create_final_covariates.py
@@ -0,0 +1,90 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing build_steps method definition."""
+
+from datashaper import AsyncType
+
+from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep
+
+workflow_name = "create_final_covariates"
+
+
+def build_steps(
+    config: PipelineWorkflowConfig,
+) -> list[PipelineWorkflowStep]:
+    """
+    Create the final covariates table.
+
+    ## Dependencies
+    * `workflow:create_base_text_units`
+    * `workflow:create_base_extracted_entities`
+    """
+    claim_extract_config = config.get("claim_extract", {})
+
+    input = {"source": "workflow:create_base_text_units"}
+
+    return [
+        {
+            "verb": "extract_covariates",
+            "args": {
+                "column": config.get("chunk_column", "chunk"),
+                "id_column": config.get("chunk_id_column", "chunk_id"),
+                "resolved_entities_column": "resolved_entities",
+                "covariate_type": "claim",
+                "async_mode": config.get("async_mode", AsyncType.AsyncIO),
+                **claim_extract_config,
+            },
+            "input": input,
+        },
+        {
+            "verb": "window",
+            "args": {"to": "id", "operation": "uuid", "column": "covariate_type"},
+        },
+        {
+            "verb": "genid",
+            "args": {
+                "to": "human_readable_id",
+                "method": "increment",
+            },
+        },
+        {
+            "verb": "convert",
+            "args": {
+                "column": "human_readable_id",
+                "type": "string",
+                "to": "human_readable_id",
+            },
+        },
+        {
+            "verb": "rename",
+            "args": {
+                "columns": {
+                    "chunk_id": "text_unit_id",
+                }
+            },
+        },
+        {
+            "verb": "select",
+            "args": {
+                "columns": [
+                    "id",
+                    "human_readable_id",
+                    "covariate_type",
+                    "type",
+                    "description",
+                    "subject_id",
+                    "subject_type",
+                    "object_id",
+                    "object_type",
+                    "status",
+                    "start_date",
+                    "end_date",
+                    "source_text",
+                    "text_unit_id",
+                    "document_ids",
+                    "n_tokens",
+                ]
+            },
+        },
+    ]
diff --git a/graphrag/graphrag/index/workflows/v1/create_final_documents.py b/graphrag/graphrag/index/workflows/v1/create_final_documents.py
new file mode 100644
index 0000000000000000000000000000000000000000..d09ce001b0205ef652f86201e57903d4b0546084
--- /dev/null
+++ b/graphrag/graphrag/index/workflows/v1/create_final_documents.py
@@ -0,0 +1,41 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing build_steps method definition."""
+
+from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep
+
+workflow_name = "create_final_documents"
+
+
+def build_steps(
+    config: PipelineWorkflowConfig,
+) -> list[PipelineWorkflowStep]:
+    """
+    Create the final documents table.
+
+    ## Dependencies
+    * `workflow:create_base_documents`
+    * `workflow:create_base_document_nodes`
+    """
+    base_text_embed = config.get("text_embed", {})
+    document_raw_content_embed_config = config.get(
+        "document_raw_content_embed", base_text_embed
+    )
+    skip_raw_content_embedding = config.get("skip_raw_content_embedding", False)
+    return [
+        {
+            "verb": "rename",
+            "args": {"columns": {"text_units": "text_unit_ids"}},
+            "input": {"source": "workflow:create_base_documents"},
+        },
+        {
+            "verb": "text_embed",
+            "enabled": not skip_raw_content_embedding,
+            "args": {
+                "column": "raw_content",
+                "to": "raw_content_embedding",
+                **document_raw_content_embed_config,
+            },
+        },
+    ]
diff --git a/graphrag/graphrag/index/workflows/v1/create_final_entities.py b/graphrag/graphrag/index/workflows/v1/create_final_entities.py
new file mode 100644
index 0000000000000000000000000000000000000000..9d8b962b77ff813e5dbd73c256199560a54e2b12
--- /dev/null
+++ b/graphrag/graphrag/index/workflows/v1/create_final_entities.py
@@ -0,0 +1,133 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing build_steps method definition."""
+
+from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep
+
+workflow_name = "create_final_entities"
+
+
+def build_steps(
+    config: PipelineWorkflowConfig,
+) -> list[PipelineWorkflowStep]:
+    """
+    Create the final entities table.
+
+    ## Dependencies
+    * `workflow:create_base_entity_graph`
+    """
+    base_text_embed = config.get("text_embed", {})
+    entity_name_embed_config = config.get("entity_name_embed", base_text_embed)
+    entity_name_description_embed_config = config.get(
+        "entity_name_description_embed", base_text_embed
+    )
+    skip_name_embedding = config.get("skip_name_embedding", False)
+    skip_description_embedding = config.get("skip_description_embedding", False)
+    is_using_vector_store = (
+        entity_name_embed_config.get("strategy", {}).get("vector_store", None)
+        is not None
+    )
+
+    return [
+        {
+            "verb": "unpack_graph",
+            "args": {
+                "column": "clustered_graph",
+                "type": "nodes",
+            },
+            "input": {"source": "workflow:create_base_entity_graph"},
+        },
+        {"verb": "rename", "args": {"columns": {"label": "title"}}},
+        {
+            "verb": "select",
+            "args": {
+                "columns": [
+                    "id",
+                    "title",
+                    "type",
+                    "description",
+                    "human_readable_id",
+                    "graph_embedding",
+                    "source_id",
+                ],
+            },
+        },
+        {
+            # create_base_entity_graph has multiple levels of clustering, which means there are multiple graphs with the same entities
+            # this dedupes the entities so that there is only one of each entity
+            "verb": "dedupe",
+            "args": {"columns": ["id"]},
+        },
+        {"verb": "rename", "args": {"columns": {"title": "name"}}},
+        {
+            # ELIMINATE EMPTY NAMES
+            "verb": "filter",
+            "args": {
+                "column": "name",
+                "criteria": [
+                    {
+                        "type": "value",
+                        "operator": "is not empty",
+                    }
+                ],
+            },
+        },
+        {
+            "verb": "text_split",
+            "args": {"separator": ",", "column": "source_id", "to": "text_unit_ids"},
+        },
+        {"verb": "drop", "args": {"columns": ["source_id"]}},
+        {
+            "verb": "text_embed",
+            "enabled": not skip_name_embedding,
+            "args": {
+                "embedding_name": "entity_name",
+                "column": "name",
+                "to": "name_embedding",
+                **entity_name_embed_config,
+            },
+        },
+        {
+            "verb": "merge",
+            "enabled": not skip_description_embedding,
+            "args": {
+                "strategy": "concat",
+                "columns": ["name", "description"],
+                "to": "name_description",
+                "delimiter": ":",
+                "preserveSource": True,
+            },
+        },
+        {
+            "verb": "text_embed",
+            "enabled": not skip_description_embedding,
+            "args": {
+                "embedding_name": "entity_name_description",
+                "column": "name_description",
+                "to": "description_embedding",
+                **entity_name_description_embed_config,
+            },
+        },
+        {
+            "verb": "drop",
+            "enabled": not skip_description_embedding,
+            "args": {
+                "columns": ["name_description"],
+            },
+        },
+        {
+            # ELIMINATE EMPTY DESCRIPTION EMBEDDINGS
+            "verb": "filter",
+            "enabled": not skip_description_embedding and not is_using_vector_store,
+            "args": {
+                "column": "description_embedding",
+                "criteria": [
+                    {
+                        "type": "value",
+                        "operator": "is not empty",
+                    }
+                ],
+            },
+        },
+    ]
diff --git a/graphrag/graphrag/index/workflows/v1/create_final_nodes.py b/graphrag/graphrag/index/workflows/v1/create_final_nodes.py
new file mode 100644
index 0000000000000000000000000000000000000000..31277e7bf07368f45f8a19a895137cbdb005ebe3
--- /dev/null
+++ b/graphrag/graphrag/index/workflows/v1/create_final_nodes.py
@@ -0,0 +1,116 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing build_steps method definition."""
+
+from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep
+
+workflow_name = "create_final_nodes"
+
+
+def build_steps(
+    config: PipelineWorkflowConfig,
+) -> list[PipelineWorkflowStep]:
+    """
+    Create the base table for the document graph.
+
+    ## Dependencies
+    * `workflow:create_base_entity_graph`
+    """
+    snapshot_top_level_nodes = config.get("snapshot_top_level_nodes", False)
+    layout_graph_enabled = config.get("layout_graph_enabled", True)
+    _compute_top_level_node_positions = [
+        {
+            "verb": "unpack_graph",
+            "args": {"column": "positioned_graph", "type": "nodes"},
+            "input": {"source": "laid_out_entity_graph"},
+        },
+        {
+            "verb": "filter",
+            "args": {
+                "column": "level",
+                "criteria": [
+                    {
+                        "type": "value",
+                        "operator": "equals",
+                        "value": config.get("level_for_node_positions", 0),
+                    }
+                ],
+            },
+        },
+        {
+            "verb": "select",
+            "args": {"columns": ["id", "x", "y"]},
+        },
+        {
+            "verb": "snapshot",
+            "enabled": snapshot_top_level_nodes,
+            "args": {
+                "name": "top_level_nodes",
+                "formats": ["json"],
+            },
+        },
+        {
+            "id": "_compute_top_level_node_positions",
+            "verb": "rename",
+            "args": {
+                "columns": {
+                    "id": "top_level_node_id",
+                }
+            },
+        },
+        {
+            "verb": "convert",
+            "args": {
+                "column": "top_level_node_id",
+                "to": "top_level_node_id",
+                "type": "string",
+            },
+        },
+    ]
+    layout_graph_config = config.get(
+        "layout_graph",
+        {
+            "strategy": {
+                "type": "umap" if layout_graph_enabled else "zero",
+            },
+        },
+    )
+    return [
+        {
+            "id": "laid_out_entity_graph",
+            "verb": "layout_graph",
+            "args": {
+                "embeddings_column": "embeddings",
+                "graph_column": "clustered_graph",
+                "to": "node_positions",
+                "graph_to": "positioned_graph",
+                **layout_graph_config,
+            },
+            "input": {"source": "workflow:create_base_entity_graph"},
+        },
+        {
+            "verb": "unpack_graph",
+            "args": {"column": "positioned_graph", "type": "nodes"},
+        },
+        {
+            "id": "nodes_without_positions",
+            "verb": "drop",
+            "args": {"columns": ["x", "y"]},
+        },
+        *_compute_top_level_node_positions,
+        {
+            "verb": "join",
+            "args": {
+                "on": ["id", "top_level_node_id"],
+            },
+            "input": {
+                "source": "nodes_without_positions",
+                "others": ["_compute_top_level_node_positions"],
+            },
+        },
+        {
+            "verb": "rename",
+            "args": {"columns": {"label": "title", "cluster": "community"}},
+        },
+    ]
diff --git a/graphrag/graphrag/index/workflows/v1/create_final_relationships.py b/graphrag/graphrag/index/workflows/v1/create_final_relationships.py
new file mode 100644
index 0000000000000000000000000000000000000000..a58c2a45b46c0ac16f0e9077749e3308a686f3c5
--- /dev/null
+++ b/graphrag/graphrag/index/workflows/v1/create_final_relationships.py
@@ -0,0 +1,94 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing build_steps method definition."""
+
+from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep
+
+workflow_name = "create_final_relationships"
+
+
+def build_steps(
+    config: PipelineWorkflowConfig,
+) -> list[PipelineWorkflowStep]:
+    """
+    Create the final relationships table.
+
+    ## Dependencies
+    * `workflow:create_base_entity_graph`
+    """
+    base_text_embed = config.get("text_embed", {})
+    relationship_description_embed_config = config.get(
+        "relationship_description_embed", base_text_embed
+    )
+    skip_description_embedding = config.get("skip_description_embedding", False)
+
+    return [
+        {
+            "verb": "unpack_graph",
+            "args": {
+                "column": "clustered_graph",
+                "type": "edges",
+            },
+            "input": {"source": "workflow:create_base_entity_graph"},
+        },
+        {
+            "verb": "rename",
+            "args": {"columns": {"source_id": "text_unit_ids"}},
+        },
+        {
+            "verb": "filter",
+            "args": {
+                "column": "level",
+                "criteria": [{"type": "value", "operator": "equals", "value": 0}],
+            },
+        },
+        {
+            "verb": "text_embed",
+            "enabled": not skip_description_embedding,
+            "args": {
+                "embedding_name": "relationship_description",
+                "column": "description",
+                "to": "description_embedding",
+                **relationship_description_embed_config,
+            },
+        },
+        {
+            "id": "pruned_edges",
+            "verb": "drop",
+            "args": {"columns": ["level"]},
+        },
+        {
+            "id": "filtered_nodes",
+            "verb": "filter",
+            "args": {
+                "column": "level",
+                "criteria": [{"type": "value", "operator": "equals", "value": 0}],
+            },
+            "input": "workflow:create_final_nodes",
+        },
+        {
+            "verb": "compute_edge_combined_degree",
+            "args": {"to": "rank"},
+            "input": {
+                "source": "pruned_edges",
+                "nodes": "filtered_nodes",
+            },
+        },
+        {
+            "verb": "convert",
+            "args": {
+                "column": "human_readable_id",
+                "type": "string",
+                "to": "human_readable_id",
+            },
+        },
+        {
+            "verb": "convert",
+            "args": {
+                "column": "text_unit_ids",
+                "type": "array",
+                "to": "text_unit_ids",
+            },
+        },
+    ]
diff --git a/graphrag/graphrag/index/workflows/v1/create_final_text_units.py b/graphrag/graphrag/index/workflows/v1/create_final_text_units.py
new file mode 100644
index 0000000000000000000000000000000000000000..56dd0a73d60f2ef60ca0221fcdee2fb21674db2d
--- /dev/null
+++ b/graphrag/graphrag/index/workflows/v1/create_final_text_units.py
@@ -0,0 +1,161 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing build_steps method definition."""
+
+from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep
+
+workflow_name = "create_final_text_units"
+
+
+def build_steps(
+    config: PipelineWorkflowConfig,
+) -> list[PipelineWorkflowStep]:
+    """
+    Create the final text-units table.
+
+    ## Dependencies
+    * `workflow:create_base_text_units`
+    * `workflow:create_final_entities`
+    * `workflow:create_final_communities`
+    """
+    base_text_embed = config.get("text_embed", {})
+    text_unit_text_embed_config = config.get("text_unit_text_embed", base_text_embed)
+    covariates_enabled = config.get("covariates_enabled", False)
+    skip_text_unit_embedding = config.get("skip_text_unit_embedding", False)
+    is_using_vector_store = (
+        text_unit_text_embed_config.get("strategy", {}).get("vector_store", None)
+        is not None
+    )
+
+    return [
+        {
+            "verb": "select",
+            "args": {"columns": ["id", "chunk", "document_ids", "n_tokens"]},
+            "input": {"source": "workflow:create_base_text_units"},
+        },
+        {
+            "id": "pre_entity_join",
+            "verb": "rename",
+            "args": {
+                "columns": {
+                    "chunk": "text",
+                },
+            },
+        },
+        # Expand the TextUnits with EntityIDs
+        {
+            "id": "pre_relationship_join",
+            "verb": "join",
+            "args": {
+                "on": ["id", "id"],
+                "strategy": "left outer",
+            },
+            "input": {
+                "source": "pre_entity_join",
+                "others": ["workflow:join_text_units_to_entity_ids"],
+            },
+        },
+        # Expand the TextUnits with RelationshipIDs
+        {
+            "id": "pre_covariate_join",
+            "verb": "join",
+            "args": {
+                "on": ["id", "id"],
+                "strategy": "left outer",
+            },
+            "input": {
+                "source": "pre_relationship_join",
+                "others": ["workflow:join_text_units_to_relationship_ids"],
+            },
+        },
+        # Expand the TextUnits with CovariateIDs
+        {
+            "enabled": covariates_enabled,
+            "verb": "join",
+            "args": {
+                "on": ["id", "id"],
+                "strategy": "left outer",
+            },
+            "input": {
+                "source": "pre_covariate_join",
+                "others": ["workflow:join_text_units_to_covariate_ids"],
+            },
+        },
+        # Mash the entities and relationships into arrays
+        {
+            "verb": "aggregate_override",
+            "args": {
+                "groupby": ["id"],  # from the join above
+                "aggregations": [
+                    {
+                        "column": "text",
+                        "operation": "any",
+                        "to": "text",
+                    },
+                    {
+                        "column": "n_tokens",
+                        "operation": "any",
+                        "to": "n_tokens",
+                    },
+                    {
+                        "column": "document_ids",
+                        "operation": "any",
+                        "to": "document_ids",
+                    },
+                    {
+                        "column": "entity_ids",
+                        "operation": "any",
+                        "to": "entity_ids",
+                    },
+                    {
+                        "column": "relationship_ids",
+                        "operation": "any",
+                        "to": "relationship_ids",
+                    },
+                    *(
+                        []
+                        if not covariates_enabled
+                        else [
+                            {
+                                "column": "covariate_ids",
+                                "operation": "any",
+                                "to": "covariate_ids",
+                            }
+                        ]
+                    ),
+                ],
+            },
+        },
+        # Text-Embed after final aggregations
+        {
+            "id": "embedded_text_units",
+            "verb": "text_embed",
+            "enabled": not skip_text_unit_embedding,
+            "args": {
+                "column": config.get("column", "text"),
+                "to": config.get("to", "text_embedding"),
+                **text_unit_text_embed_config,
+            },
+        },
+        {
+            "verb": "select",
+            "args": {
+                # Final select to get output in the correct shape
+                "columns": [
+                    "id",
+                    "text",
+                    *(
+                        []
+                        if (skip_text_unit_embedding or is_using_vector_store)
+                        else ["text_embedding"]
+                    ),
+                    "n_tokens",
+                    "document_ids",
+                    "entity_ids",
+                    "relationship_ids",
+                    *([] if not covariates_enabled else ["covariate_ids"]),
+                ],
+            },
+        },
+    ]
diff --git a/graphrag/graphrag/index/workflows/v1/create_summarized_entities.py b/graphrag/graphrag/index/workflows/v1/create_summarized_entities.py
new file mode 100644
index 0000000000000000000000000000000000000000..8f8d7f0042fec331a471a497312e19ce2f7c0d2a
--- /dev/null
+++ b/graphrag/graphrag/index/workflows/v1/create_summarized_entities.py
@@ -0,0 +1,47 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing build_steps method definition."""
+
+from datashaper import AsyncType
+
+from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep
+
+workflow_name = "create_summarized_entities"
+
+
+def build_steps(
+    config: PipelineWorkflowConfig,
+) -> list[PipelineWorkflowStep]:
+    """
+    Create the base table for extracted entities.
+
+    ## Dependencies
+    * `workflow:create_base_text_units`
+    """
+    summarize_descriptions_config = config.get("summarize_descriptions", {})
+    graphml_snapshot_enabled = config.get("graphml_snapshot", False) or False
+
+    return [
+        {
+            "verb": "summarize_descriptions",
+            "args": {
+                **summarize_descriptions_config,
+                "column": "entity_graph",
+                "to": "entity_graph",
+                "async_mode": summarize_descriptions_config.get(
+                    "async_mode", AsyncType.AsyncIO
+                ),
+            },
+            "input": {"source": "workflow:create_base_extracted_entities"},
+        },
+        {
+            "verb": "snapshot_rows",
+            "enabled": graphml_snapshot_enabled,
+            "args": {
+                "base_name": "summarized_graph",
+                "column": "entity_graph",
+                "formats": [{"format": "text", "extension": "graphml"}],
+            },
+        },
+    ]
diff --git a/graphrag/graphrag/index/workflows/v1/join_text_units_to_covariate_ids.py b/graphrag/graphrag/index/workflows/v1/join_text_units_to_covariate_ids.py
new file mode 100644
index 0000000000000000000000000000000000000000..be6bddf1e45a7c27ac9c587e4bc7cad01d323a62
--- /dev/null
+++ b/graphrag/graphrag/index/workflows/v1/join_text_units_to_covariate_ids.py
@@ -0,0 +1,44 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing build_steps method definition."""
+
+from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep
+
+workflow_name = "join_text_units_to_covariate_ids"
+
+
+def build_steps(
+    _config: PipelineWorkflowConfig,
+) -> list[PipelineWorkflowStep]:
+    """
+    Create the final text-units table.
+
+    ## Dependencies
+    * `workflow:create_final_covariates`
+    """
+    return [
+        {
+            "verb": "select",
+            "args": {"columns": ["id", "text_unit_id"]},
+            "input": {"source": "workflow:create_final_covariates"},
+        },
+        {
+            "verb": "aggregate_override",
+            "args": {
+                "groupby": ["text_unit_id"],
+                "aggregations": [
+                    {
+                        "column": "id",
+                        "operation": "array_agg_distinct",
+                        "to": "covariate_ids",
+                    },
+                    {
+                        "column": "text_unit_id",
+                        "operation": "any",
+                        "to": "id",
+                    },
+                ],
+            },
+        },
+    ]
diff --git a/graphrag/graphrag/index/workflows/v1/join_text_units_to_entity_ids.py b/graphrag/graphrag/index/workflows/v1/join_text_units_to_entity_ids.py
new file mode 100644
index 0000000000000000000000000000000000000000..6337502d1abd84d1f9ad9d8223afdb5412ab846d
--- /dev/null
+++ b/graphrag/graphrag/index/workflows/v1/join_text_units_to_entity_ids.py
@@ -0,0 +1,50 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing build_steps method definition."""
+
+from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep
+
+workflow_name = "join_text_units_to_entity_ids"
+
+
+def build_steps(
+    _config: PipelineWorkflowConfig,
+) -> list[PipelineWorkflowStep]:
+    """
+    Create a join table from text unit ids to entity ids.
+
+    ## Dependencies
+    * `workflow:create_final_entities`
+    """
+    return [
+        {
+            "verb": "select",
+            "args": {"columns": ["id", "text_unit_ids"]},
+            "input": {"source": "workflow:create_final_entities"},
+        },
+        {
+            "verb": "unroll",
+            "args": {
+                "column": "text_unit_ids",
+            },
+        },
+        {
+            "verb": "aggregate_override",
+            "args": {
+                "groupby": ["text_unit_ids"],
+                "aggregations": [
+                    {
+                        "column": "id",
+                        "operation": "array_agg_distinct",
+                        "to": "entity_ids",
+                    },
+                    {
+                        "column": "text_unit_ids",
+                        "operation": "any",
+                        "to": "id",
+                    },
+                ],
+            },
+        },
+    ]
diff --git a/graphrag/graphrag/index/workflows/v1/join_text_units_to_relationship_ids.py b/graphrag/graphrag/index/workflows/v1/join_text_units_to_relationship_ids.py
new file mode 100644
index 0000000000000000000000000000000000000000..fe6d6463beed246f12ad945cdf0e4272ed03ac61
--- /dev/null
+++ b/graphrag/graphrag/index/workflows/v1/join_text_units_to_relationship_ids.py
@@ -0,0 +1,55 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing build_steps method definition."""
+
+from graphrag.index.config import PipelineWorkflowConfig, PipelineWorkflowStep
+
+workflow_name = "join_text_units_to_relationship_ids"
+
+
+def build_steps(
+    _config: PipelineWorkflowConfig,
+) -> list[PipelineWorkflowStep]:
+    """
+    Create a join table from text unit ids to relationship ids.
+
+    ## Dependencies
+    * `workflow:create_final_relationships
+    """
+    return [
+        {
+            "verb": "select",
+            "args": {"columns": ["id", "text_unit_ids"]},
+            "input": {"source": "workflow:create_final_relationships"},
+        },
+        {
+            "verb": "unroll",
+            "args": {
+                "column": "text_unit_ids",
+            },
+        },
+        {
+            "verb": "aggregate_override",
+            "args": {
+                "groupby": ["text_unit_ids"],
+                "aggregations": [
+                    {
+                        "column": "id",
+                        "operation": "array_agg_distinct",
+                        "to": "relationship_ids",
+                    },
+                    {
+                        "column": "text_unit_ids",
+                        "operation": "any",
+                        "to": "id",
+                    },
+                ],
+            },
+        },
+        {
+            "id": "text_unit_id_to_relationship_ids",
+            "verb": "select",
+            "args": {"columns": ["id", "relationship_ids"]},
+        },
+    ]
diff --git a/graphrag/graphrag/llm/__init__.py b/graphrag/graphrag/llm/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..609be951b23e7ef0f936ab2a373bbc3e4cc8ff18
--- /dev/null
+++ b/graphrag/graphrag/llm/__init__.py
@@ -0,0 +1,91 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Datashaper OpenAI Utilities package."""
+
+from .base import BaseLLM, CachingLLM, RateLimitingLLM
+from .errors import RetriesExhaustedError
+from .limiting import (
+    CompositeLLMLimiter,
+    LLMLimiter,
+    NoopLLMLimiter,
+    TpmRpmLLMLimiter,
+    create_tpm_rpm_limiters,
+)
+from .mock import MockChatLLM, MockCompletionLLM
+from .openai import (
+    OpenAIChatLLM,
+    OpenAIClientTypes,
+    OpenAICompletionLLM,
+    OpenAIConfiguration,
+    OpenAIEmbeddingsLLM,
+    create_openai_chat_llm,
+    create_openai_client,
+    create_openai_completion_llm,
+    create_openai_embedding_llm,
+)
+from .types import (
+    LLM,
+    CompletionInput,
+    CompletionLLM,
+    CompletionOutput,
+    EmbeddingInput,
+    EmbeddingLLM,
+    EmbeddingOutput,
+    ErrorHandlerFn,
+    IsResponseValidFn,
+    LLMCache,
+    LLMConfig,
+    LLMInput,
+    LLMInvocationFn,
+    LLMInvocationResult,
+    LLMOutput,
+    OnCacheActionFn,
+)
+
+__all__ = [
+    # LLM Types
+    "LLM",
+    "BaseLLM",
+    "CachingLLM",
+    "CompletionInput",
+    "CompletionLLM",
+    "CompletionOutput",
+    "CompositeLLMLimiter",
+    "EmbeddingInput",
+    "EmbeddingLLM",
+    "EmbeddingOutput",
+    # Callbacks
+    "ErrorHandlerFn",
+    "IsResponseValidFn",
+    # Cache
+    "LLMCache",
+    "LLMConfig",
+    # LLM I/O Types
+    "LLMInput",
+    "LLMInvocationFn",
+    "LLMInvocationResult",
+    "LLMLimiter",
+    "LLMOutput",
+    "MockChatLLM",
+    # Mock
+    "MockCompletionLLM",
+    "NoopLLMLimiter",
+    "OnCacheActionFn",
+    "OpenAIChatLLM",
+    "OpenAIClientTypes",
+    "OpenAICompletionLLM",
+    # OpenAI
+    "OpenAIConfiguration",
+    "OpenAIEmbeddingsLLM",
+    "RateLimitingLLM",
+    # Errors
+    "RetriesExhaustedError",
+    "TpmRpmLLMLimiter",
+    "create_openai_chat_llm",
+    "create_openai_client",
+    "create_openai_completion_llm",
+    "create_openai_embedding_llm",
+    # Limiters
+    "create_tpm_rpm_limiters",
+]
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diff --git a/graphrag/graphrag/llm/base/__init__.py b/graphrag/graphrag/llm/base/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..dd5ebf9050376d88c4bd4bc883bdbd56d579fd9c
--- /dev/null
+++ b/graphrag/graphrag/llm/base/__init__.py
@@ -0,0 +1,10 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Base LLM Implementations."""
+
+from .base_llm import BaseLLM
+from .caching_llm import CachingLLM
+from .rate_limiting_llm import RateLimitingLLM
+
+__all__ = ["BaseLLM", "CachingLLM", "RateLimitingLLM"]
diff --git a/graphrag/graphrag/llm/base/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/llm/base/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/llm/base/_create_cache_key.py b/graphrag/graphrag/llm/base/_create_cache_key.py
new file mode 100644
index 0000000000000000000000000000000000000000..e435ba460d38abcb6145a1c46b2ba402b7669492
--- /dev/null
+++ b/graphrag/graphrag/llm/base/_create_cache_key.py
@@ -0,0 +1,34 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Cache key generation utils."""
+
+import hashlib
+
+
+def _llm_string(params: dict) -> str:
+    # New version of the cache is not including n in the params dictionary
+    # This avoids creating a new cache key for the same prompt
+    if "max_tokens" in params and "n" not in params:
+        params["n"] = None
+    return str(sorted((k, v) for k, v in params.items()))
+
+
+def _hash(_input: str) -> str:
+    """Use a deterministic hashing approach."""
+    return hashlib.md5(_input.encode()).hexdigest()  # noqa S324
+
+
+def create_hash_key(operation: str, prompt: str, parameters: dict) -> str:
+    """Compute cache key from prompt and associated model and settings.
+
+    Args:
+        prompt (str): The prompt run through the language model.
+        llm_string (str): The language model version and settings.
+
+    Returns
+    -------
+        str: The cache key.
+    """
+    llm_string = _llm_string(parameters)
+    return f"{operation}-{_hash(prompt + llm_string)}"
diff --git a/graphrag/graphrag/llm/base/base_llm.py b/graphrag/graphrag/llm/base/base_llm.py
new file mode 100644
index 0000000000000000000000000000000000000000..66f1919cd43bc4ecb5c2f132e6aa4565e73562fa
--- /dev/null
+++ b/graphrag/graphrag/llm/base/base_llm.py
@@ -0,0 +1,65 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Base LLM class definition."""
+
+import traceback
+from abc import ABC, abstractmethod
+from typing import Generic, TypeVar
+
+from typing_extensions import Unpack
+
+from graphrag.llm.types import (
+    LLM,
+    ErrorHandlerFn,
+    LLMInput,
+    LLMOutput,
+)
+
+TIn = TypeVar("TIn")
+TOut = TypeVar("TOut")
+
+
+class BaseLLM(ABC, LLM[TIn, TOut], Generic[TIn, TOut]):
+    """LLM Implementation class definition."""
+
+    _on_error: ErrorHandlerFn | None
+
+    def on_error(self, on_error: ErrorHandlerFn | None) -> None:
+        """Set the error handler function."""
+        self._on_error = on_error
+
+    @abstractmethod
+    async def _execute_llm(
+        self,
+        input: TIn,
+        **kwargs: Unpack[LLMInput],
+    ) -> TOut | None:
+        pass
+
+    async def __call__(
+        self,
+        input: TIn,
+        **kwargs: Unpack[LLMInput],
+    ) -> LLMOutput[TOut]:
+        """Invoke the LLM."""
+        is_json = kwargs.get("json") or False
+        if is_json:
+            return await self._invoke_json(input, **kwargs)
+        return await self._invoke(input, **kwargs)
+
+    async def _invoke(self, input: TIn, **kwargs: Unpack[LLMInput]) -> LLMOutput[TOut]:
+        try:
+            output = await self._execute_llm(input, **kwargs)
+            return LLMOutput(output=output)
+        except Exception as e:
+            stack_trace = traceback.format_exc()
+            if self._on_error:
+                self._on_error(e, stack_trace, {"input": input})
+            raise
+
+    async def _invoke_json(
+        self, input: TIn, **kwargs: Unpack[LLMInput]
+    ) -> LLMOutput[TOut]:
+        msg = "JSON output not supported by this LLM"
+        raise NotImplementedError(msg)
diff --git a/graphrag/graphrag/llm/base/caching_llm.py b/graphrag/graphrag/llm/base/caching_llm.py
new file mode 100644
index 0000000000000000000000000000000000000000..51c99638f1ce0d078c6200f1b60f53eb47b0d5b8
--- /dev/null
+++ b/graphrag/graphrag/llm/base/caching_llm.py
@@ -0,0 +1,107 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A class to interact with the cache."""
+
+import json
+from typing import Any, Generic, TypeVar
+
+from typing_extensions import Unpack
+
+from graphrag.llm.types import LLM, LLMCache, LLMInput, LLMOutput, OnCacheActionFn
+
+from ._create_cache_key import create_hash_key
+
+# If there's a breaking change in what we cache, we should increment this version number to invalidate existing caches
+_cache_strategy_version = 2
+
+TIn = TypeVar("TIn")
+TOut = TypeVar("TOut")
+
+
+def _noop_cache_fn(_k: str, _v: str | None):
+    pass
+
+
+class CachingLLM(LLM[TIn, TOut], Generic[TIn, TOut]):
+    """A class to interact with the cache."""
+
+    _cache: LLMCache
+    _delegate: LLM[TIn, TOut]
+    _operation: str
+    _llm_paramaters: dict
+    _on_cache_hit: OnCacheActionFn
+    _on_cache_miss: OnCacheActionFn
+
+    def __init__(
+        self,
+        delegate: LLM[TIn, TOut],
+        llm_parameters: dict,
+        operation: str,
+        cache: LLMCache,
+    ):
+        self._delegate = delegate
+        self._llm_paramaters = llm_parameters
+        self._cache = cache
+        self._operation = operation
+        self._on_cache_hit = _noop_cache_fn
+        self._on_cache_miss = _noop_cache_fn
+
+    def on_cache_hit(self, fn: OnCacheActionFn | None) -> None:
+        """Set the function to call when a cache hit occurs."""
+        self._on_cache_hit = fn or _noop_cache_fn
+
+    def on_cache_miss(self, fn: OnCacheActionFn | None) -> None:
+        """Set the function to call when a cache miss occurs."""
+        self._on_cache_miss = fn or _noop_cache_fn
+
+    def _cache_key(self, input: TIn, name: str | None, args: dict) -> str:
+        json_input = json.dumps(input)
+        tag = (
+            f"{name}-{self._operation}-v{_cache_strategy_version}"
+            if name is not None
+            else self._operation
+        )
+        return create_hash_key(tag, json_input, args)
+
+    async def _cache_read(self, key: str) -> Any | None:
+        """Read a value from the cache."""
+        return await self._cache.get(key)
+
+    async def _cache_write(
+        self, key: str, input: TIn, result: TOut | None, args: dict
+    ) -> None:
+        """Write a value to the cache."""
+        if result:
+            await self._cache.set(
+                key,
+                result,
+                {
+                    "input": input,
+                    "parameters": args,
+                },
+            )
+
+    async def __call__(
+        self,
+        input: TIn,
+        **kwargs: Unpack[LLMInput],
+    ) -> LLMOutput[TOut]:
+        """Execute the LLM."""
+        # Check for an Existing cache item
+        name = kwargs.get("name")
+        llm_args = {**self._llm_paramaters, **(kwargs.get("model_parameters") or {})}
+        cache_key = self._cache_key(input, name, llm_args)
+        cached_result = await self._cache_read(cache_key)
+        if cached_result:
+            self._on_cache_hit(cache_key, name)
+            return LLMOutput(output=cached_result)
+
+        # Report the Cache Miss
+        self._on_cache_miss(cache_key, name)
+
+        # Compute the new result
+        result = await self._delegate(input, **kwargs)
+        # Cache the new result
+        await self._cache_write(cache_key, input, result.output, llm_args)
+        return result
diff --git a/graphrag/graphrag/llm/base/rate_limiting_llm.py b/graphrag/graphrag/llm/base/rate_limiting_llm.py
new file mode 100644
index 0000000000000000000000000000000000000000..5e2082475f60f6cb2a96663bafc8095d50924b60
--- /dev/null
+++ b/graphrag/graphrag/llm/base/rate_limiting_llm.py
@@ -0,0 +1,208 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Rate limiting LLM implementation."""
+
+import asyncio
+import logging
+from collections.abc import Callable
+from typing import Any, Generic, TypeVar
+
+from tenacity import (
+    AsyncRetrying,
+    retry_if_exception_type,
+    stop_after_attempt,
+    wait_exponential_jitter,
+)
+from typing_extensions import Unpack
+
+from graphrag.llm.errors import RetriesExhaustedError
+from graphrag.llm.limiting import LLMLimiter
+from graphrag.llm.types import (
+    LLM,
+    LLMConfig,
+    LLMInput,
+    LLMInvocationFn,
+    LLMInvocationResult,
+    LLMOutput,
+)
+
+TIn = TypeVar("TIn")
+TOut = TypeVar("TOut")
+TRateLimitError = TypeVar("TRateLimitError", bound=BaseException)
+
+_CANNOT_MEASURE_INPUT_TOKENS_MSG = "cannot measure input tokens"
+_CANNOT_MEASURE_OUTPUT_TOKENS_MSG = "cannot measure output tokens"
+
+log = logging.getLogger(__name__)
+
+
+class RateLimitingLLM(LLM[TIn, TOut], Generic[TIn, TOut]):
+    """A class to interact with the cache."""
+
+    _delegate: LLM[TIn, TOut]
+    _rate_limiter: LLMLimiter | None
+    _semaphore: asyncio.Semaphore | None
+    _count_tokens: Callable[[str], int]
+    _config: LLMConfig
+    _operation: str
+    _retryable_errors: list[type[Exception]]
+    _rate_limit_errors: list[type[Exception]]
+    _on_invoke: LLMInvocationFn
+    _extract_sleep_recommendation: Callable[[Any], float]
+
+    def __init__(
+        self,
+        delegate: LLM[TIn, TOut],
+        config: LLMConfig,
+        operation: str,
+        retryable_errors: list[type[Exception]],
+        rate_limit_errors: list[type[Exception]],
+        rate_limiter: LLMLimiter | None = None,
+        semaphore: asyncio.Semaphore | None = None,
+        count_tokens: Callable[[str], int] | None = None,
+        get_sleep_time: Callable[[BaseException], float] | None = None,
+    ):
+        self._delegate = delegate
+        self._rate_limiter = rate_limiter
+        self._semaphore = semaphore
+        self._config = config
+        self._operation = operation
+        self._retryable_errors = retryable_errors
+        self._rate_limit_errors = rate_limit_errors
+        self._count_tokens = count_tokens or (lambda _s: -1)
+        self._extract_sleep_recommendation = get_sleep_time or (lambda _e: 0.0)
+        self._on_invoke = lambda _v: None
+
+    def on_invoke(self, fn: LLMInvocationFn | None) -> None:
+        """Set the on_invoke function."""
+        self._on_invoke = fn or (lambda _v: None)
+
+    def count_request_tokens(self, input: TIn) -> int:
+        """Count the request tokens on an input request."""
+        if isinstance(input, str):
+            return self._count_tokens(input)
+        if isinstance(input, list):
+            result = 0
+            for item in input:
+                if isinstance(item, str):
+                    result += self._count_tokens(item)
+                elif isinstance(item, dict):
+                    result += self._count_tokens(item.get("content", ""))
+                else:
+                    raise TypeError(_CANNOT_MEASURE_INPUT_TOKENS_MSG)
+            return result
+        raise TypeError(_CANNOT_MEASURE_INPUT_TOKENS_MSG)
+
+    def count_response_tokens(self, output: TOut | None) -> int:
+        """Count the request tokens on an output response."""
+        if output is None:
+            return 0
+        if isinstance(output, str):
+            return self._count_tokens(output)
+        if isinstance(output, list) and all(isinstance(x, str) for x in output):
+            return sum(self._count_tokens(item) for item in output)
+        if isinstance(output, list):
+            # Embedding response, don't count it
+            return 0
+        raise TypeError(_CANNOT_MEASURE_OUTPUT_TOKENS_MSG)
+
+    async def __call__(
+        self,
+        input: TIn,
+        **kwargs: Unpack[LLMInput],
+    ) -> LLMOutput[TOut]:
+        """Execute the LLM with semaphore & rate limiting."""
+        name = kwargs.get("name", "Process")
+        attempt_number = 0
+        call_times: list[float] = []
+        input_tokens = self.count_request_tokens(input)
+        max_retries = self._config.max_retries or 10
+        max_retry_wait = self._config.max_retry_wait or 10
+        follow_recommendation = self._config.sleep_on_rate_limit_recommendation
+        retryer = AsyncRetrying(
+            stop=stop_after_attempt(max_retries),
+            wait=wait_exponential_jitter(max=max_retry_wait),
+            reraise=True,
+            retry=retry_if_exception_type(tuple(self._retryable_errors)),
+        )
+
+        async def sleep_for(time: float | None) -> None:
+            log.warning(
+                "%s failed to invoke LLM %s/%s attempts. Cause: rate limit exceeded, will retry. Recommended sleep for %d seconds. Follow recommendation? %s",
+                name,
+                attempt_number,
+                max_retries,
+                time,
+                follow_recommendation,
+            )
+            if follow_recommendation and time:
+                await asyncio.sleep(time)
+            raise
+
+        async def do_attempt() -> LLMOutput[TOut]:
+            nonlocal call_times
+            call_start = asyncio.get_event_loop().time()
+            try:
+                return await self._delegate(input, **kwargs)
+            except BaseException as e:
+                if isinstance(e, tuple(self._rate_limit_errors)):
+                    sleep_time = self._extract_sleep_recommendation(e)
+                    await sleep_for(sleep_time)
+                raise
+            finally:
+                call_end = asyncio.get_event_loop().time()
+                call_times.append(call_end - call_start)
+
+        async def execute_with_retry() -> tuple[LLMOutput[TOut], float]:
+            nonlocal attempt_number
+            async for attempt in retryer:
+                with attempt:
+                    if self._rate_limiter and input_tokens > 0:
+                        await self._rate_limiter.acquire(input_tokens)
+                    start = asyncio.get_event_loop().time()
+                    attempt_number += 1
+                    return await do_attempt(), start
+
+            log.error("Retries exhausted for %s", name)
+            raise RetriesExhaustedError(name, max_retries)
+
+        result: LLMOutput[TOut]
+        start = 0.0
+
+        if self._semaphore is None:
+            result, start = await execute_with_retry()
+        else:
+            async with self._semaphore:
+                result, start = await execute_with_retry()
+
+        end = asyncio.get_event_loop().time()
+        output_tokens = self.count_response_tokens(result.output)
+        if self._rate_limiter and output_tokens > 0:
+            await self._rate_limiter.acquire(output_tokens)
+
+        invocation_result = LLMInvocationResult(
+            result=result,
+            name=name,
+            num_retries=attempt_number - 1,
+            total_time=end - start,
+            call_times=call_times,
+            input_tokens=input_tokens,
+            output_tokens=output_tokens,
+        )
+        self._handle_invoke_result(invocation_result)
+        return result
+
+    def _handle_invoke_result(
+        self, result: LLMInvocationResult[LLMOutput[TOut]]
+    ) -> None:
+        log.info(
+            'perf - llm.%s "%s" with %s retries took %s. input_tokens=%d, output_tokens=%d',
+            self._operation,
+            result.name,
+            result.num_retries,
+            result.total_time,
+            result.input_tokens,
+            result.output_tokens,
+        )
+        self._on_invoke(result)
diff --git a/graphrag/graphrag/llm/errors.py b/graphrag/graphrag/llm/errors.py
new file mode 100644
index 0000000000000000000000000000000000000000..01136359de622d347a4c1e61ca5c51219f314086
--- /dev/null
+++ b/graphrag/graphrag/llm/errors.py
@@ -0,0 +1,12 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Error definitions for the OpenAI DataShaper package."""
+
+
+class RetriesExhaustedError(RuntimeError):
+    """Retries exhausted error."""
+
+    def __init__(self, name: str, num_retries: int) -> None:
+        """Init method definition."""
+        super().__init__(f"Operation '{name}' failed - {num_retries} retries exhausted")
diff --git a/graphrag/graphrag/llm/limiting/__init__.py b/graphrag/graphrag/llm/limiting/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..4f7933d1a802557737196f228f2688e090fbc6b7
--- /dev/null
+++ b/graphrag/graphrag/llm/limiting/__init__.py
@@ -0,0 +1,18 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""LLM limiters module."""
+
+from .composite_limiter import CompositeLLMLimiter
+from .create_limiters import create_tpm_rpm_limiters
+from .llm_limiter import LLMLimiter
+from .noop_llm_limiter import NoopLLMLimiter
+from .tpm_rpm_limiter import TpmRpmLLMLimiter
+
+__all__ = [
+    "CompositeLLMLimiter",
+    "LLMLimiter",
+    "NoopLLMLimiter",
+    "TpmRpmLLMLimiter",
+    "create_tpm_rpm_limiters",
+]
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diff --git a/graphrag/graphrag/llm/limiting/__pycache__/tpm_rpm_limiter.cpython-310.pyc b/graphrag/graphrag/llm/limiting/__pycache__/tpm_rpm_limiter.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..77dca6e04eeeb99892cd6e782d4b66e8ef7021bc
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diff --git a/graphrag/graphrag/llm/limiting/composite_limiter.py b/graphrag/graphrag/llm/limiting/composite_limiter.py
new file mode 100644
index 0000000000000000000000000000000000000000..7bcf9195b2515eb4d255ac2bfadf00318dbf0e32
--- /dev/null
+++ b/graphrag/graphrag/llm/limiting/composite_limiter.py
@@ -0,0 +1,26 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A module containing Composite Limiter class definition."""
+
+from .llm_limiter import LLMLimiter
+
+
+class CompositeLLMLimiter(LLMLimiter):
+    """Composite Limiter class definition."""
+
+    _limiters: list[LLMLimiter]
+
+    def __init__(self, limiters: list[LLMLimiter]):
+        """Init method definition."""
+        self._limiters = limiters
+
+    @property
+    def needs_token_count(self) -> bool:
+        """Whether this limiter needs the token count to be passed in."""
+        return any(limiter.needs_token_count for limiter in self._limiters)
+
+    async def acquire(self, num_tokens: int = 1) -> None:
+        """Call method definition."""
+        for limiter in self._limiters:
+            await limiter.acquire(num_tokens)
diff --git a/graphrag/graphrag/llm/limiting/create_limiters.py b/graphrag/graphrag/llm/limiting/create_limiters.py
new file mode 100644
index 0000000000000000000000000000000000000000..92df11c1a6780732cc2de88763c062d26469fdc8
--- /dev/null
+++ b/graphrag/graphrag/llm/limiting/create_limiters.py
@@ -0,0 +1,29 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Create limiters for OpenAI API requests."""
+
+import logging
+
+from aiolimiter import AsyncLimiter
+
+from graphrag.llm.types import LLMConfig
+
+from .llm_limiter import LLMLimiter
+from .tpm_rpm_limiter import TpmRpmLLMLimiter
+
+log = logging.getLogger(__name__)
+
+"""The global TPM limiters."""
+
+
+def create_tpm_rpm_limiters(
+    configuration: LLMConfig,
+) -> LLMLimiter:
+    """Get the limiters for a given model name."""
+    tpm = configuration.tokens_per_minute
+    rpm = configuration.requests_per_minute
+    return TpmRpmLLMLimiter(
+        None if tpm == 0 else AsyncLimiter(tpm or 50_000),
+        None if rpm == 0 else AsyncLimiter(rpm or 10_000),
+    )
diff --git a/graphrag/graphrag/llm/limiting/llm_limiter.py b/graphrag/graphrag/llm/limiting/llm_limiter.py
new file mode 100644
index 0000000000000000000000000000000000000000..1264a84be58e5e23a3495f91ddf09e05fb66fdd9
--- /dev/null
+++ b/graphrag/graphrag/llm/limiting/llm_limiter.py
@@ -0,0 +1,19 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Limiting types."""
+
+from abc import ABC, abstractmethod
+
+
+class LLMLimiter(ABC):
+    """LLM Limiter Interface."""
+
+    @property
+    @abstractmethod
+    def needs_token_count(self) -> bool:
+        """Whether this limiter needs the token count to be passed in."""
+
+    @abstractmethod
+    async def acquire(self, num_tokens: int = 1) -> None:
+        """Acquire a pass through the limiter."""
diff --git a/graphrag/graphrag/llm/limiting/noop_llm_limiter.py b/graphrag/graphrag/llm/limiting/noop_llm_limiter.py
new file mode 100644
index 0000000000000000000000000000000000000000..5147055255b5f854588856c023f34aae554b60c4
--- /dev/null
+++ b/graphrag/graphrag/llm/limiting/noop_llm_limiter.py
@@ -0,0 +1,19 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""TPM RPM Limiter module."""
+
+from .llm_limiter import LLMLimiter
+
+
+class NoopLLMLimiter(LLMLimiter):
+    """TPM RPM Limiter class definition."""
+
+    @property
+    def needs_token_count(self) -> bool:
+        """Whether this limiter needs the token count to be passed in."""
+        return False
+
+    async def acquire(self, num_tokens: int = 1) -> None:
+        """Call method definition."""
+        # do nothing
diff --git a/graphrag/graphrag/llm/limiting/tpm_rpm_limiter.py b/graphrag/graphrag/llm/limiting/tpm_rpm_limiter.py
new file mode 100644
index 0000000000000000000000000000000000000000..cb6d84e377e25767011976ca753b6c97ecbc8941
--- /dev/null
+++ b/graphrag/graphrag/llm/limiting/tpm_rpm_limiter.py
@@ -0,0 +1,34 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""TPM RPM Limiter module."""
+
+from aiolimiter import AsyncLimiter
+
+from .llm_limiter import LLMLimiter
+
+
+class TpmRpmLLMLimiter(LLMLimiter):
+    """TPM RPM Limiter class definition."""
+
+    _tpm_limiter: AsyncLimiter | None
+    _rpm_limiter: AsyncLimiter | None
+
+    def __init__(
+        self, tpm_limiter: AsyncLimiter | None, rpm_limiter: AsyncLimiter | None
+    ):
+        """Init method definition."""
+        self._tpm_limiter = tpm_limiter
+        self._rpm_limiter = rpm_limiter
+
+    @property
+    def needs_token_count(self) -> bool:
+        """Whether this limiter needs the token count to be passed in."""
+        return self._tpm_limiter is not None
+
+    async def acquire(self, num_tokens: int = 1) -> None:
+        """Call method definition."""
+        if self._tpm_limiter is not None:
+            await self._tpm_limiter.acquire(num_tokens)
+        if self._rpm_limiter is not None:
+            await self._rpm_limiter.acquire()
diff --git a/graphrag/graphrag/llm/mock/__init__.py b/graphrag/graphrag/llm/mock/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..cd1f000dd16cd3c734b94d986f7fdc08abdd03fc
--- /dev/null
+++ b/graphrag/graphrag/llm/mock/__init__.py
@@ -0,0 +1,12 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Mock LLM Implementations."""
+
+from .mock_chat_llm import MockChatLLM
+from .mock_completion_llm import MockCompletionLLM
+
+__all__ = [
+    "MockChatLLM",
+    "MockCompletionLLM",
+]
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diff --git a/graphrag/graphrag/llm/mock/mock_chat_llm.py b/graphrag/graphrag/llm/mock/mock_chat_llm.py
new file mode 100644
index 0000000000000000000000000000000000000000..b8a6650b3142815e4a1d5a684c688711c543cd08
--- /dev/null
+++ b/graphrag/graphrag/llm/mock/mock_chat_llm.py
@@ -0,0 +1,52 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A mock ChatLLM that returns the given responses."""
+
+from typing_extensions import Unpack
+
+from graphrag.llm.base import BaseLLM
+from graphrag.llm.types import (
+    CompletionInput,
+    CompletionOutput,
+    LLMInput,
+    LLMOutput,
+)
+
+
+class MockChatLLM(
+    BaseLLM[
+        CompletionInput,
+        CompletionOutput,
+    ]
+):
+    """A mock LLM that returns the given responses."""
+
+    responses: list[str]
+    i: int = 0
+
+    def __init__(self, responses: list[str]):
+        self.i = 0
+        self.responses = responses
+
+    def _create_output(
+        self,
+        output: CompletionOutput | None,
+        **kwargs: Unpack[LLMInput],
+    ) -> LLMOutput[CompletionOutput]:
+        history = kwargs.get("history") or []
+        return LLMOutput[CompletionOutput](
+            output=output, history=[*history, {"content": output}]
+        )
+
+    async def _execute_llm(
+        self,
+        input: CompletionInput,
+        **kwargs: Unpack[LLMInput],
+    ) -> CompletionOutput:
+        if self.i >= len(self.responses):
+            msg = f"No more responses, requested {self.i} but only have {len(self.responses)}"
+            raise ValueError(msg)
+        response = self.responses[self.i]
+        self.i += 1
+        return response
diff --git a/graphrag/graphrag/llm/mock/mock_completion_llm.py b/graphrag/graphrag/llm/mock/mock_completion_llm.py
new file mode 100644
index 0000000000000000000000000000000000000000..8cb8e95083a1d5cad1201184f9706f79307aec09
--- /dev/null
+++ b/graphrag/graphrag/llm/mock/mock_completion_llm.py
@@ -0,0 +1,37 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""LLM Static Response method definition."""
+
+import logging
+
+from typing_extensions import Unpack
+
+from graphrag.llm.base import BaseLLM
+from graphrag.llm.types import (
+    CompletionInput,
+    CompletionOutput,
+    LLMInput,
+)
+
+log = logging.getLogger(__name__)
+
+
+class MockCompletionLLM(
+    BaseLLM[
+        CompletionInput,
+        CompletionOutput,
+    ]
+):
+    """Mock Completion LLM for testing purposes."""
+
+    def __init__(self, responses: list[str]):
+        self.responses = responses
+        self._on_error = None
+
+    async def _execute_llm(
+        self,
+        input: CompletionInput,
+        **kwargs: Unpack[LLMInput],
+    ) -> CompletionOutput:
+        return self.responses[0]
diff --git a/graphrag/graphrag/llm/openai/__init__.py b/graphrag/graphrag/llm/openai/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..9478e146d2dc82bc3c05d96b02e6be9eb539e351
--- /dev/null
+++ b/graphrag/graphrag/llm/openai/__init__.py
@@ -0,0 +1,28 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""OpenAI LLM implementations."""
+
+from .create_openai_client import create_openai_client
+from .factories import (
+    create_openai_chat_llm,
+    create_openai_completion_llm,
+    create_openai_embedding_llm,
+)
+from .openai_chat_llm import OpenAIChatLLM
+from .openai_completion_llm import OpenAICompletionLLM
+from .openai_configuration import OpenAIConfiguration
+from .openai_embeddings_llm import OpenAIEmbeddingsLLM
+from .types import OpenAIClientTypes
+
+__all__ = [
+    "OpenAIChatLLM",
+    "OpenAIClientTypes",
+    "OpenAICompletionLLM",
+    "OpenAIConfiguration",
+    "OpenAIEmbeddingsLLM",
+    "create_openai_chat_llm",
+    "create_openai_client",
+    "create_openai_completion_llm",
+    "create_openai_embedding_llm",
+]
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diff --git a/graphrag/graphrag/llm/openai/_json.py b/graphrag/graphrag/llm/openai/_json.py
new file mode 100644
index 0000000000000000000000000000000000000000..22184cc221bf10ab8ac3d352e47e1645a55eb17a
--- /dev/null
+++ b/graphrag/graphrag/llm/openai/_json.py
@@ -0,0 +1,25 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""JSON cleaning and formatting utilities."""
+
+
+def clean_up_json(json_str: str) -> str:
+    """Clean up json string."""
+    json_str = (
+        json_str.replace("\\n", "")
+        .replace("\n", "")
+        .replace("\r", "")
+        .replace('"[{', "[{")
+        .replace('}]"', "}]")
+        .replace("\\", "")
+        .strip()
+    )
+
+    # Remove JSON Markdown Frame
+    if json_str.startswith("```json"):
+        json_str = json_str[len("```json") :]
+    if json_str.endswith("```"):
+        json_str = json_str[: len(json_str) - len("```")]
+
+    return json_str
diff --git a/graphrag/graphrag/llm/openai/_prompts.py b/graphrag/graphrag/llm/openai/_prompts.py
new file mode 100644
index 0000000000000000000000000000000000000000..37d9f0fc70b6e7f3068be32ff5bd19dea90398c0
--- /dev/null
+++ b/graphrag/graphrag/llm/openai/_prompts.py
@@ -0,0 +1,39 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Utility prompts for low-level LLM invocations."""
+
+JSON_CHECK_PROMPT = """
+You are going to be given a malformed JSON string that threw an error during json.loads.
+It probably contains unnecessary escape sequences, or it is missing a comma or colon somewhere.
+Your task is to fix this string and return a well-formed JSON string containing a single object.
+Eliminate any unnecessary escape sequences.
+Only return valid JSON, parseable with json.loads, without commentary.
+
+# Examples
+-----------
+Text: {{ \\"title\\": \\"abc\\", \\"summary\\": \\"def\\" }}
+Output: {{"title": "abc", "summary": "def"}}
+-----------
+Text: {{"title": "abc", "summary": "def"
+Output: {{"title": "abc", "summary": "def"}}
+-----------
+Text: {{"title': "abc", 'summary": "def"
+Output: {{"title": "abc", "summary": "def"}}
+-----------
+Text: "{{"title": "abc", "summary": "def"}}"
+Output: {{"title": "abc", "summary": "def"}}
+-----------
+Text: [{{"title": "abc", "summary": "def"}}]
+Output: [{{"title": "abc", "summary": "def"}}]
+-----------
+Text: [{{"title": "abc", "summary": "def"}}, {{ \\"title\\": \\"abc\\", \\"summary\\": \\"def\\" }}]
+Output: [{{"title": "abc", "summary": "def"}}, {{"title": "abc", "summary": "def"}}]
+-----------
+Text: ```json\n[{{"title": "abc", "summary": "def"}}, {{ \\"title\\": \\"abc\\", \\"summary\\": \\"def\\" }}]```
+Output: [{{"title": "abc", "summary": "def"}}, {{"title": "abc", "summary": "def"}}]
+
+
+# Real Data
+Text: {input_text}
+Output:"""
diff --git a/graphrag/graphrag/llm/openai/create_openai_client.py b/graphrag/graphrag/llm/openai/create_openai_client.py
new file mode 100644
index 0000000000000000000000000000000000000000..218226189a5dc13ecf285793b8af36f39f85ca1b
--- /dev/null
+++ b/graphrag/graphrag/llm/openai/create_openai_client.py
@@ -0,0 +1,79 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Create OpenAI client instance."""
+
+import logging
+from functools import cache
+import re
+from urllib.parse import urljoin
+
+from azure.identity import DefaultAzureCredential, get_bearer_token_provider
+from openai import AsyncOpenAI
+
+from .openai_configuration import OpenAIConfiguration
+from .types import OpenAIClientTypes
+
+log = logging.getLogger(__name__)
+
+API_BASE_REQUIRED_FOR_AZURE = "api_base is required for Azure OpenAI client"
+
+
+def normalize_api_base(api_base: str) -> str:
+    # Remove trailing slashes
+    api_base = api_base.rstrip('/')
+    
+    # Check if the URL already ends with '/v1'
+    if not api_base.endswith('/v1'):
+        # If not, append '/v1'
+        api_base = urljoin(api_base, 'v1')
+    
+    return api_base
+
+
+@cache
+def create_openai_client(
+    configuration: OpenAIConfiguration, azure: bool
+) -> OpenAIClientTypes:
+    """Create a new OpenAI client instance."""
+    if azure:
+        api_base = configuration.api_base
+        if api_base is None:
+            raise ValueError(API_BASE_REQUIRED_FOR_AZURE)
+
+        log.info(
+            "Creating Azure OpenAI client api_base=%s, deployment_name=%s",
+            api_base,
+            configuration.deployment_name,
+        )
+        if configuration.cognitive_services_endpoint is None:
+            cognitive_services_endpoint = "https://cognitiveservices.azure.com/.default"
+        else:
+            cognitive_services_endpoint = configuration.cognitive_services_endpoint
+
+        return AsyncOpenAI(
+            api_key=configuration.api_key if configuration.api_key else None,
+            azure_ad_token_provider=get_bearer_token_provider(
+                DefaultAzureCredential(), cognitive_services_endpoint
+            )
+            if not configuration.api_key
+            else None,
+            organization=configuration.organization,
+            # Azure-Specifics
+            api_version=configuration.api_version,
+            azure_endpoint=api_base,
+            azure_deployment=configuration.deployment_name,
+            # Timeout/Retry Configuration - Use Tenacity for Retries, so disable them here
+            timeout=configuration.request_timeout or 180.0,
+            max_retries=0,
+        )
+
+    log.info("Creating OpenAI client base_url=%s", configuration.api_base)
+    return AsyncOpenAI(
+        api_key=configuration.api_key,
+        base_url=normalize_api_base(configuration.api_base),
+        organization=configuration.organization,
+        # Timeout/Retry Configuration - Use Tenacity for Retries, so disable them here
+        timeout=configuration.request_timeout or 180.0,
+        max_retries=0,
+    )
\ No newline at end of file
diff --git a/graphrag/graphrag/llm/openai/factories.py b/graphrag/graphrag/llm/openai/factories.py
new file mode 100644
index 0000000000000000000000000000000000000000..e595e2e55b69f82e12e8250a264621652180b2fc
--- /dev/null
+++ b/graphrag/graphrag/llm/openai/factories.py
@@ -0,0 +1,140 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Factory functions for creating OpenAI LLMs."""
+
+import asyncio
+
+from graphrag.llm.base import CachingLLM, RateLimitingLLM
+from graphrag.llm.limiting import LLMLimiter
+from graphrag.llm.types import (
+    LLM,
+    CompletionLLM,
+    EmbeddingLLM,
+    ErrorHandlerFn,
+    LLMCache,
+    LLMInvocationFn,
+    OnCacheActionFn,
+)
+
+from .json_parsing_llm import JsonParsingLLM
+from .openai_chat_llm import OpenAIChatLLM
+from .openai_completion_llm import OpenAICompletionLLM
+from .openai_configuration import OpenAIConfiguration
+from .openai_embeddings_llm import OpenAIEmbeddingsLLM
+from .openai_history_tracking_llm import OpenAIHistoryTrackingLLM
+from .openai_token_replacing_llm import OpenAITokenReplacingLLM
+from .types import OpenAIClientTypes
+from .utils import (
+    RATE_LIMIT_ERRORS,
+    RETRYABLE_ERRORS,
+    get_completion_cache_args,
+    get_sleep_time_from_error,
+    get_token_counter,
+)
+
+
+def create_openai_chat_llm(
+    client: OpenAIClientTypes,
+    config: OpenAIConfiguration,
+    cache: LLMCache | None = None,
+    limiter: LLMLimiter | None = None,
+    semaphore: asyncio.Semaphore | None = None,
+    on_invoke: LLMInvocationFn | None = None,
+    on_error: ErrorHandlerFn | None = None,
+    on_cache_hit: OnCacheActionFn | None = None,
+    on_cache_miss: OnCacheActionFn | None = None,
+) -> CompletionLLM:
+    """Create an OpenAI chat LLM."""
+    operation = "chat"
+    result = OpenAIChatLLM(client, config)
+    result.on_error(on_error)
+    if limiter is not None or semaphore is not None:
+        result = _rate_limited(result, config, operation, limiter, semaphore, on_invoke)
+    if cache is not None:
+        result = _cached(result, config, operation, cache, on_cache_hit, on_cache_miss)
+    result = OpenAIHistoryTrackingLLM(result)
+    result = OpenAITokenReplacingLLM(result)
+    return JsonParsingLLM(result)
+
+
+def create_openai_completion_llm(
+    client: OpenAIClientTypes,
+    config: OpenAIConfiguration,
+    cache: LLMCache | None = None,
+    limiter: LLMLimiter | None = None,
+    semaphore: asyncio.Semaphore | None = None,
+    on_invoke: LLMInvocationFn | None = None,
+    on_error: ErrorHandlerFn | None = None,
+    on_cache_hit: OnCacheActionFn | None = None,
+    on_cache_miss: OnCacheActionFn | None = None,
+) -> CompletionLLM:
+    """Create an OpenAI completion LLM."""
+    operation = "completion"
+    result = OpenAICompletionLLM(client, config)
+    result.on_error(on_error)
+    if limiter is not None or semaphore is not None:
+        result = _rate_limited(result, config, operation, limiter, semaphore, on_invoke)
+    if cache is not None:
+        result = _cached(result, config, operation, cache, on_cache_hit, on_cache_miss)
+    return OpenAITokenReplacingLLM(result)
+
+
+def create_openai_embedding_llm(
+    client: OpenAIClientTypes,
+    config: OpenAIConfiguration,
+    cache: LLMCache | None = None,
+    limiter: LLMLimiter | None = None,
+    semaphore: asyncio.Semaphore | None = None,
+    on_invoke: LLMInvocationFn | None = None,
+    on_error: ErrorHandlerFn | None = None,
+    on_cache_hit: OnCacheActionFn | None = None,
+    on_cache_miss: OnCacheActionFn | None = None,
+) -> EmbeddingLLM:
+    """Create an OpenAI embeddings LLM."""
+    operation = "embedding"
+    result = OpenAIEmbeddingsLLM(client, config)
+    result.on_error(on_error)
+    if limiter is not None or semaphore is not None:
+        result = _rate_limited(result, config, operation, limiter, semaphore, on_invoke)
+    if cache is not None:
+        result = _cached(result, config, operation, cache, on_cache_hit, on_cache_miss)
+    return result
+
+
+def _rate_limited(
+    delegate: LLM,
+    config: OpenAIConfiguration,
+    operation: str,
+    limiter: LLMLimiter | None,
+    semaphore: asyncio.Semaphore | None,
+    on_invoke: LLMInvocationFn | None,
+):
+    result = RateLimitingLLM(
+        delegate,
+        config,
+        operation,
+        RETRYABLE_ERRORS,
+        RATE_LIMIT_ERRORS,
+        limiter,
+        semaphore,
+        get_token_counter(config),
+        get_sleep_time_from_error,
+    )
+    result.on_invoke(on_invoke)
+    return result
+
+
+def _cached(
+    delegate: LLM,
+    config: OpenAIConfiguration,
+    operation: str,
+    cache: LLMCache,
+    on_cache_hit: OnCacheActionFn | None,
+    on_cache_miss: OnCacheActionFn | None,
+):
+    cache_args = get_completion_cache_args(config)
+    result = CachingLLM(delegate, cache_args, operation, cache)
+    result.on_cache_hit(on_cache_hit)
+    result.on_cache_miss(on_cache_miss)
+    return result
diff --git a/graphrag/graphrag/llm/openai/json_parsing_llm.py b/graphrag/graphrag/llm/openai/json_parsing_llm.py
new file mode 100644
index 0000000000000000000000000000000000000000..843ca0ecb738f6c886c40dcd0cdb4fb40ee968a8
--- /dev/null
+++ b/graphrag/graphrag/llm/openai/json_parsing_llm.py
@@ -0,0 +1,37 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""An LLM that unpacks cached JSON responses."""
+
+from typing_extensions import Unpack
+
+from graphrag.llm.types import (
+    LLM,
+    CompletionInput,
+    CompletionLLM,
+    CompletionOutput,
+    LLMInput,
+    LLMOutput,
+)
+
+from .utils import try_parse_json_object
+
+
+class JsonParsingLLM(LLM[CompletionInput, CompletionOutput]):
+    """An OpenAI History-Tracking LLM."""
+
+    _delegate: CompletionLLM
+
+    def __init__(self, delegate: CompletionLLM):
+        self._delegate = delegate
+
+    async def __call__(
+        self,
+        input: CompletionInput,
+        **kwargs: Unpack[LLMInput],
+    ) -> LLMOutput[CompletionOutput]:
+        """Call the LLM with the input and kwargs."""
+        result = await self._delegate(input, **kwargs)
+        if kwargs.get("json") and result.json is None and result.output is not None:
+            result.json = try_parse_json_object(result.output)
+        return result
diff --git a/graphrag/graphrag/llm/openai/openai_chat_llm.py b/graphrag/graphrag/llm/openai/openai_chat_llm.py
new file mode 100644
index 0000000000000000000000000000000000000000..e4add8a25e7cef7e4ea5ffc30cfccf3f2ce8d438
--- /dev/null
+++ b/graphrag/graphrag/llm/openai/openai_chat_llm.py
@@ -0,0 +1,152 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Chat-based language model."""
+
+import logging
+from json import JSONDecodeError
+
+from typing_extensions import Unpack
+
+from graphrag.llm.base import BaseLLM
+from graphrag.llm.types import (
+    CompletionInput,
+    CompletionOutput,
+    LLMInput,
+    LLMOutput,
+)
+
+from ._json import clean_up_json
+from ._prompts import JSON_CHECK_PROMPT
+from .openai_configuration import OpenAIConfiguration
+from .types import OpenAIClientTypes
+from .utils import (
+    get_completion_llm_args,
+    try_parse_json_object,
+)
+
+log = logging.getLogger(__name__)
+
+_MAX_GENERATION_RETRIES = 3
+FAILED_TO_CREATE_JSON_ERROR = "Failed to generate valid JSON output"
+
+
+class OpenAIChatLLM(BaseLLM[CompletionInput, CompletionOutput]):
+    """A Chat-based LLM."""
+
+    _client: OpenAIClientTypes
+    _configuration: OpenAIConfiguration
+
+    def __init__(self, client: OpenAIClientTypes, configuration: OpenAIConfiguration):
+        self.client = client
+        self.configuration = configuration
+
+    async def _execute_llm(
+        self, input: CompletionInput, **kwargs: Unpack[LLMInput]
+    ) -> CompletionOutput | None:
+        args = get_completion_llm_args(
+            kwargs.get("model_parameters"), self.configuration
+        )
+        history = kwargs.get("history") or []
+        messages = [
+            *history,
+            {"role": "user", "content": input},
+        ]
+        completion = await self.client.chat.completions.create(
+            messages=messages, **args
+        )
+        return completion.choices[0].message.content
+
+    async def _invoke_json(
+        self,
+        input: CompletionInput,
+        **kwargs: Unpack[LLMInput],
+    ) -> LLMOutput[CompletionOutput]:
+        """Generate JSON output."""
+        name = kwargs.get("name") or "unknown"
+        is_response_valid = kwargs.get("is_response_valid") or (lambda _x: True)
+
+        async def generate(
+            attempt: int | None = None,
+        ) -> LLMOutput[CompletionOutput]:
+            call_name = name if attempt is None else f"{name}@{attempt}"
+            return (
+                await self._native_json(input, **{**kwargs, "name": call_name})
+                if self.configuration.model_supports_json
+                else await self._manual_json(input, **{**kwargs, "name": call_name})
+            )
+
+        def is_valid(x: dict | None) -> bool:
+            return x is not None and is_response_valid(x)
+
+        result = await generate()
+        retry = 0
+        while not is_valid(result.json) and retry < _MAX_GENERATION_RETRIES:
+            result = await generate(retry)
+            retry += 1
+
+        if is_valid(result.json):
+            return result
+        raise RuntimeError(FAILED_TO_CREATE_JSON_ERROR)
+
+    async def _native_json(
+        self, input: CompletionInput, **kwargs: Unpack[LLMInput]
+    ) -> LLMOutput[CompletionOutput]:
+        """Generate JSON output using a model's native JSON-output support."""
+        result = await self._invoke(
+            input,
+            **{
+                **kwargs,
+                "model_parameters": {
+                    **(kwargs.get("model_parameters") or {}),
+                    "response_format": {"type": "json_object"},
+                },
+            },
+        )
+
+        raw_output = result.output or ""
+        json_output = try_parse_json_object(raw_output)
+
+        return LLMOutput[CompletionOutput](
+            output=raw_output,
+            json=json_output,
+            history=result.history,
+        )
+
+    async def _manual_json(
+        self, input: CompletionInput, **kwargs: Unpack[LLMInput]
+    ) -> LLMOutput[CompletionOutput]:
+        # Otherwise, clean up the output and try to parse it as json
+        result = await self._invoke(input, **kwargs)
+        history = result.history or []
+        output = clean_up_json(result.output or "")
+        try:
+            json_output = try_parse_json_object(output)
+            return LLMOutput[CompletionOutput](
+                output=output, json=json_output, history=history
+            )
+        except (TypeError, JSONDecodeError):
+            log.warning("error parsing llm json, retrying")
+            # If cleaned up json is unparsable, use the LLM to reformat it (may throw)
+            result = await self._try_clean_json_with_llm(output, **kwargs)
+            output = clean_up_json(result.output or "")
+            json = try_parse_json_object(output)
+
+            return LLMOutput[CompletionOutput](
+                output=output,
+                json=json,
+                history=history,
+            )
+
+    async def _try_clean_json_with_llm(
+        self, output: str, **kwargs: Unpack[LLMInput]
+    ) -> LLMOutput[CompletionOutput]:
+        name = kwargs.get("name") or "unknown"
+        return await self._invoke(
+            JSON_CHECK_PROMPT,
+            **{
+                **kwargs,
+                "variables": {"input_text": output},
+                "name": f"fix_json@{name}",
+            },
+        )
diff --git a/graphrag/graphrag/llm/openai/openai_completion_llm.py b/graphrag/graphrag/llm/openai/openai_completion_llm.py
new file mode 100644
index 0000000000000000000000000000000000000000..87b074b03ba7dae67faf312aed0fcc550b451ef1
--- /dev/null
+++ b/graphrag/graphrag/llm/openai/openai_completion_llm.py
@@ -0,0 +1,53 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A text-completion based LLM."""
+
+import logging
+from typing import Any, Dict
+from typing_extensions import Unpack
+
+from graphrag.llm.base import BaseLLM
+from graphrag.llm.types import (
+    CompletionInput,
+    CompletionOutput,
+    LLMInput,
+)
+
+from .openai_configuration import OpenAIConfiguration
+from .types import OpenAIClientTypes
+from .utils import get_completion_llm_args
+
+log = logging.getLogger(__name__)
+
+
+class OpenAICompletionLLM(BaseLLM[CompletionInput, CompletionOutput]):
+    """A text-completion based LLM."""
+
+    _client: OpenAIClientTypes
+    _configuration: OpenAIConfiguration
+
+    def __init__(self, client: OpenAIClientTypes, configuration: OpenAIConfiguration):
+        super().__init__()
+        self._client = client
+        self._configuration = configuration
+
+    async def _execute_llm(
+        self,
+        input: CompletionInput,
+        **kwargs: Dict[str, Any]
+    ) -> CompletionOutput | None:
+        args = get_completion_llm_args(
+            kwargs.get("model_parameters"), self._configuration
+        )
+        try:
+            # Remove 'model' from args if it's there, as we'll use self._configuration.model
+            args.pop('model', None)
+            completion = await self._client.completions.create(
+                model=self._configuration.model,
+                prompt=input,
+                **args
+            )
+            return completion.choices[0].text
+        except Exception as e:
+            raise RuntimeError(f"Error calling OpenAI API: {str(e)}") from e
\ No newline at end of file
diff --git a/graphrag/graphrag/llm/openai/openai_configuration.py b/graphrag/graphrag/llm/openai/openai_configuration.py
new file mode 100644
index 0000000000000000000000000000000000000000..1bcd5694d6fe59d38e1a6d6de7b039dff4cee091
--- /dev/null
+++ b/graphrag/graphrag/llm/openai/openai_configuration.py
@@ -0,0 +1,288 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""OpenAI Configuration class definition."""
+
+import json
+from collections.abc import Hashable
+from typing import Any, cast
+
+from graphrag.llm.types import LLMConfig
+
+
+def _non_blank(value: str | None) -> str | None:
+    if value is None:
+        return None
+    stripped = value.strip()
+    return None if stripped == "" else value
+
+
+class OpenAIConfiguration(Hashable, LLMConfig):
+    """OpenAI Configuration class definition."""
+
+    # Core Configuration
+    _api_key: str
+    _model: str
+
+    _api_base: str | None
+    _api_version: str | None
+    _cognitive_services_endpoint: str | None
+    _deployment_name: str | None
+    _organization: str | None
+    _proxy: str | None
+
+    # Operation Configuration
+    _n: int | None
+    _temperature: float | None
+    _frequency_penalty: float | None
+    _presence_penalty: float | None
+    _top_p: float | None
+    _max_tokens: int | None
+    _response_format: str | None
+    _logit_bias: dict[str, float] | None
+    _stop: list[str] | None
+
+    # Retry Logic
+    _max_retries: int | None
+    _max_retry_wait: float | None
+    _request_timeout: float | None
+
+    # The raw configuration object
+    _raw_config: dict
+
+    # Feature Flags
+    _model_supports_json: bool | None
+
+    # Custom Configuration
+    _tokens_per_minute: int | None
+    _requests_per_minute: int | None
+    _concurrent_requests: int | None
+    _encoding_model: str | None
+    _sleep_on_rate_limit_recommendation: bool | None
+
+    def __init__(
+        self,
+        config: dict,
+    ):
+        """Init method definition."""
+
+        def lookup_required(key: str) -> str:
+            return cast(str, config.get(key))
+
+        def lookup_str(key: str) -> str | None:
+            return cast(str | None, config.get(key))
+
+        def lookup_int(key: str) -> int | None:
+            result = config.get(key)
+            if result is None:
+                return None
+            return int(cast(int, result))
+
+        def lookup_float(key: str) -> float | None:
+            result = config.get(key)
+            if result is None:
+                return None
+            return float(cast(float, result))
+
+        def lookup_dict(key: str) -> dict | None:
+            return cast(dict | None, config.get(key))
+
+        def lookup_list(key: str) -> list | None:
+            return cast(list | None, config.get(key))
+
+        def lookup_bool(key: str) -> bool | None:
+            value = config.get(key)
+            if isinstance(value, str):
+                return value.upper() == "TRUE"
+            if isinstance(value, int):
+                return value > 0
+            return cast(bool | None, config.get(key))
+
+        self._api_key = lookup_required("api_key")
+        self._model = lookup_required("model")
+        self._deployment_name = lookup_str("deployment_name")
+        self._api_base = lookup_str("api_base")
+        self._api_version = lookup_str("api_version")
+        self._cognitive_services_endpoint = lookup_str("cognitive_services_endpoint")
+        self._organization = lookup_str("organization")
+        self._proxy = lookup_str("proxy")
+        self._n = lookup_int("n")
+        self._temperature = lookup_float("temperature")
+        self._frequency_penalty = lookup_float("frequency_penalty")
+        self._presence_penalty = lookup_float("presence_penalty")
+        self._top_p = lookup_float("top_p")
+        self._max_tokens = lookup_int("max_tokens")
+        self._response_format = lookup_str("response_format")
+        self._logit_bias = lookup_dict("logit_bias")
+        self._stop = lookup_list("stop")
+        self._max_retries = lookup_int("max_retries")
+        self._request_timeout = lookup_float("request_timeout")
+        self._model_supports_json = lookup_bool("model_supports_json")
+        self._tokens_per_minute = lookup_int("tokens_per_minute")
+        self._requests_per_minute = lookup_int("requests_per_minute")
+        self._concurrent_requests = lookup_int("concurrent_requests")
+        self._encoding_model = lookup_str("encoding_model")
+        self._max_retry_wait = lookup_float("max_retry_wait")
+        self._sleep_on_rate_limit_recommendation = lookup_bool(
+            "sleep_on_rate_limit_recommendation"
+        )
+        self._raw_config = config
+
+    @property
+    def api_key(self) -> str:
+        """API key property definition."""
+        return self._api_key
+
+    @property
+    def model(self) -> str:
+        """Model property definition."""
+        return self._model
+
+    @property
+    def deployment_name(self) -> str | None:
+        """Deployment name property definition."""
+        return _non_blank(self._deployment_name)
+
+    @property
+    def api_base(self) -> str | None:
+        """API base property definition."""
+        result = _non_blank(self._api_base)
+        # Remove trailing slash
+        return result[:-1] if result and result.endswith("/") else result
+
+    @property
+    def api_version(self) -> str | None:
+        """API version property definition."""
+        return _non_blank(self._api_version)
+
+    @property
+    def cognitive_services_endpoint(self) -> str | None:
+        """API version property definition."""
+        return _non_blank(self._cognitive_services_endpoint)
+
+    @property
+    def organization(self) -> str | None:
+        """Organization property definition."""
+        return _non_blank(self._organization)
+
+    @property
+    def proxy(self) -> str | None:
+        """Proxy property definition."""
+        return _non_blank(self._proxy)
+
+    @property
+    def n(self) -> int | None:
+        """N property definition."""
+        return self._n
+
+    @property
+    def temperature(self) -> float | None:
+        """Temperature property definition."""
+        return self._temperature
+
+    @property
+    def frequency_penalty(self) -> float | None:
+        """Frequency penalty property definition."""
+        return self._frequency_penalty
+
+    @property
+    def presence_penalty(self) -> float | None:
+        """Presence penalty property definition."""
+        return self._presence_penalty
+
+    @property
+    def top_p(self) -> float | None:
+        """Top p property definition."""
+        return self._top_p
+
+    @property
+    def max_tokens(self) -> int | None:
+        """Max tokens property definition."""
+        return self._max_tokens
+
+    @property
+    def response_format(self) -> str | None:
+        """Response format property definition."""
+        return _non_blank(self._response_format)
+
+    @property
+    def logit_bias(self) -> dict[str, float] | None:
+        """Logit bias property definition."""
+        return self._logit_bias
+
+    @property
+    def stop(self) -> list[str] | None:
+        """Stop property definition."""
+        return self._stop
+
+    @property
+    def max_retries(self) -> int | None:
+        """Max retries property definition."""
+        return self._max_retries
+
+    @property
+    def max_retry_wait(self) -> float | None:
+        """Max retry wait property definition."""
+        return self._max_retry_wait
+
+    @property
+    def request_timeout(self) -> float | None:
+        """Request timeout property definition."""
+        return self._request_timeout
+
+    @property
+    def model_supports_json(self) -> bool | None:
+        """Model supports json property definition."""
+        return self._model_supports_json
+
+    @property
+    def tokens_per_minute(self) -> int | None:
+        """Tokens per minute property definition."""
+        return self._tokens_per_minute
+
+    @property
+    def requests_per_minute(self) -> int | None:
+        """Requests per minute property definition."""
+        return self._requests_per_minute
+
+    @property
+    def concurrent_requests(self) -> int | None:
+        """Concurrent requests property definition."""
+        return self._concurrent_requests
+
+    @property
+    def encoding_model(self) -> str | None:
+        """Encoding model property definition."""
+        return _non_blank(self._encoding_model)
+
+    @property
+    def sleep_on_rate_limit_recommendation(self) -> bool | None:
+        """Whether to sleep for <n> seconds when recommended by 429 errors (azure-specific)."""
+        return self._sleep_on_rate_limit_recommendation
+
+    @property
+    def raw_config(self) -> dict:
+        """Raw config method definition."""
+        return self._raw_config
+
+    def lookup(self, name: str, default_value: Any = None) -> Any:
+        """Lookup method definition."""
+        return self._raw_config.get(name, default_value)
+
+    def __str__(self) -> str:
+        """Str method definition."""
+        return json.dumps(self.raw_config, indent=4)
+
+    def __repr__(self) -> str:
+        """Repr method definition."""
+        return f"OpenAIConfiguration({self._raw_config})"
+
+    def __eq__(self, other: object) -> bool:
+        """Eq method definition."""
+        if not isinstance(other, OpenAIConfiguration):
+            return False
+        return self._raw_config == other._raw_config
+
+    def __hash__(self) -> int:
+        """Hash method definition."""
+        return hash(tuple(sorted(self._raw_config.items())))
diff --git a/graphrag/graphrag/llm/openai/openai_embeddings_llm.py b/graphrag/graphrag/llm/openai/openai_embeddings_llm.py
new file mode 100644
index 0000000000000000000000000000000000000000..4c228ccde54674b2bc63fb3a4c5c4382b439ab53
--- /dev/null
+++ b/graphrag/graphrag/llm/openai/openai_embeddings_llm.py
@@ -0,0 +1,157 @@
+import logging
+import aiohttp
+import asyncio
+import requests
+from typing import List, Union, Dict, Any
+import ollama
+from typing_extensions import Unpack
+from graphrag.llm.base import BaseLLM
+from graphrag.llm.types import (
+    EmbeddingInput,
+    EmbeddingOutput,
+    LLMInput,
+)
+from .openai_configuration import OpenAIConfiguration
+from .types import OpenAIClientTypes
+
+class OpenAIEmbeddingsLLM(BaseLLM[EmbeddingInput, EmbeddingOutput]):
+    def __init__(self, client: OpenAIClientTypes, configuration: Union[OpenAIConfiguration, Dict[str, Any]]):
+        self._client = client
+        if isinstance(configuration, OpenAIConfiguration):
+            self._configuration = configuration
+            self._model = configuration.model
+        elif isinstance(configuration, dict):
+            self._configuration = configuration
+            self._model = configuration.get("model")
+        else:
+            raise TypeError("Configuration must be either OpenAIConfiguration or a dictionary")
+
+    async def _execute_llm(
+        self, input: EmbeddingInput, **kwargs: Unpack[LLMInput]
+    ) -> EmbeddingOutput | None:
+        args = {
+            "model": self._model,
+            **(kwargs.get("model_parameters") or {}),
+        }
+        
+        try:
+            if self._is_ollama_model(args["model"]):
+                embeddings = await asyncio.gather(*[self._get_ollama_embedding(inp, args) for inp in input])
+            else:  # OpenAI compatible
+                embeddings = await self._get_openai_embeddings(input, args)
+        except Exception as e:
+            logging.error(f"Error getting embeddings from {args['model']}: {str(e)}")
+            if not self._is_ollama_model(args["model"]):
+                logging.info("Falling back to Ollama embeddings")
+                try:
+                    embeddings = await asyncio.gather(*[self._get_ollama_embedding(inp, args) for inp in input])
+                except Exception as e:
+                    logging.error(f"Error getting Ollama embeddings: {str(e)}")
+                    return None
+
+        return [emb for emb in embeddings if emb is not None]
+
+    async def _get_ollama_embedding(self, text: str, args: Dict[str, Any]) -> Union[List[float], None]:
+        try:
+            loop = asyncio.get_event_loop()
+            embedding = await loop.run_in_executor(None, ollama.embeddings, args["model"], text)
+            return embedding["embedding"]
+        except Exception as e:
+            logging.error(f"Error getting Ollama embedding: {str(e)}")
+            return None
+
+    async def _get_openai_embeddings(self, input: List[str], args: Dict[str, Any]) -> List[Union[List[float], None]]:
+        endpoint = f"{self.get_api_base().rstrip('/')}/embeddings"
+        headers = {
+            "Content-Type": "application/json",
+            "Authorization": f"Bearer {self.get_api_key()}" if self.get_api_key() != "dummy_key" else ""
+        }
+        async with aiohttp.ClientSession() as session:
+            tasks = [self._get_openai_embedding(session, endpoint, inp, headers, args) for inp in input]
+            return await asyncio.gather(*tasks)
+
+    async def _get_openai_embedding(self, session: aiohttp.ClientSession, endpoint: str, text: str, headers: Dict[str, str], args: Dict[str, Any]) -> Union[List[float], None]:
+        data = {
+            "model": args["model"],
+            "input": text,
+            **{k: v for k, v in args.items() if k != "model"}
+        }
+        async with session.post(endpoint, json=data, headers=headers) as response:
+            if response.status == 200:
+                result = await response.json()
+                return result["data"][0]["embedding"]
+            else:
+                logging.error(f"Error getting OpenAI compatible embedding: {await response.text()}")
+                return None
+
+    def execute_llm_sync(self, input: EmbeddingInput, **kwargs: Unpack[LLMInput]) -> EmbeddingOutput | None:
+        args = {
+            "model": self._model,
+            **(kwargs.get("model_parameters") or {}),
+        }
+        
+        try:
+            if self._is_ollama_model(args["model"]):
+                embeddings = [self._get_ollama_embedding_sync(inp, args) for inp in input]
+            else:  # OpenAI compatible
+                embeddings = self._get_openai_embeddings_sync(input, args)
+        except Exception as e:
+            logging.error(f"Error getting embeddings from {args['model']}: {str(e)}")
+            if not self._is_ollama_model(args["model"]):
+                logging.info("Falling back to Ollama embeddings")
+                try:
+                    embeddings = [self._get_ollama_embedding_sync(inp, args) for inp in input]
+                except Exception as e:
+                    logging.error(f"Error getting Ollama embeddings: {str(e)}")
+                    return None
+
+        return [emb for emb in embeddings if emb is not None]
+
+    def _get_ollama_embedding_sync(self, text: str, args: Dict[str, Any]) -> Union[List[float], None]:
+        try:
+            embedding = ollama.embeddings(model=args["model"], prompt=text)
+            return embedding["embedding"]
+        except Exception as e:
+            logging.error(f"Error getting Ollama embedding: {str(e)}")
+            return None
+
+    def _get_openai_embeddings_sync(self, input: List[str], args: Dict[str, Any]) -> List[Union[List[float], None]]:
+        endpoint = f"{self.get_api_base().rstrip('/')}/embeddings"
+        headers = {
+            "Content-Type": "application/json",
+            "Authorization": f"Bearer {self.get_api_key()}" if self.get_api_key() != "dummy_key" else ""
+        }
+        return [self._get_openai_embedding_sync(endpoint, inp, headers, args) for inp in input]
+
+    def _get_openai_embedding_sync(self, endpoint: str, text: str, headers: Dict[str, str], args: Dict[str, Any]) -> Union[List[float], None]:
+        data = {
+            "model": args["model"],
+            "input": text,
+            **{k: v for k, v in args.items() if k != "model"}
+        }
+        response = requests.post(endpoint, json=data, headers=headers)
+        if response.status_code == 200:
+            result = response.json()
+            return result["data"][0]["embedding"]
+        else:
+            logging.error(f"Error getting OpenAI compatible embedding: {response.text}")
+            return None
+
+    def _is_ollama_model(self, model: str) -> bool:
+        return model.lower().startswith("ollama:")
+
+    def get_api_base(self) -> str:
+        if isinstance(self._configuration, OpenAIConfiguration):
+            return self._configuration.api_base
+        elif isinstance(self._configuration, dict):
+            return self._configuration.get("api_base")
+        else:
+            raise TypeError("Invalid configuration type")
+
+    def get_api_key(self) -> str:
+        if isinstance(self._configuration, OpenAIConfiguration):
+            return self._configuration.api_key
+        elif isinstance(self._configuration, dict):
+            return self._configuration.get("api_key", "dummy_key")
+        else:
+            raise TypeError("Invalid configuration type")
\ No newline at end of file
diff --git a/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py b/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py
new file mode 100644
index 0000000000000000000000000000000000000000..26ac8e227d2ed32a018f3930a66cb19f4ebd1a68
--- /dev/null
+++ b/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py
@@ -0,0 +1,38 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Chat-based language model."""
+
+from typing_extensions import Unpack
+
+from graphrag.llm.types import (
+    LLM,
+    CompletionInput,
+    CompletionLLM,
+    CompletionOutput,
+    LLMInput,
+    LLMOutput,
+)
+
+
+class OpenAIHistoryTrackingLLM(LLM[CompletionInput, CompletionOutput]):
+    """An OpenAI History-Tracking LLM."""
+
+    _delegate: CompletionLLM
+
+    def __init__(self, delegate: CompletionLLM):
+        self._delegate = delegate
+
+    async def __call__(
+        self,
+        input: CompletionInput,
+        **kwargs: Unpack[LLMInput],
+    ) -> LLMOutput[CompletionOutput]:
+        """Call the LLM."""
+        history = kwargs.get("history") or []
+        output = await self._delegate(input, **kwargs)
+        return LLMOutput(
+            output=output.output,
+            json=output.json,
+            history=[*history, {"role": "system", "content": output.output}],
+        )
diff --git a/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py b/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py
new file mode 100644
index 0000000000000000000000000000000000000000..e34c7ef5d7d58250a0eb4d8d0463a09a6c8ddeec
--- /dev/null
+++ b/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py
@@ -0,0 +1,37 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Chat-based language model."""
+
+from typing_extensions import Unpack
+
+from graphrag.llm.types import (
+    LLM,
+    CompletionInput,
+    CompletionLLM,
+    CompletionOutput,
+    LLMInput,
+    LLMOutput,
+)
+
+from .utils import perform_variable_replacements
+
+
+class OpenAITokenReplacingLLM(LLM[CompletionInput, CompletionOutput]):
+    """An OpenAI History-Tracking LLM."""
+
+    _delegate: CompletionLLM
+
+    def __init__(self, delegate: CompletionLLM):
+        self._delegate = delegate
+
+    async def __call__(
+        self,
+        input: CompletionInput,
+        **kwargs: Unpack[LLMInput],
+    ) -> LLMOutput[CompletionOutput]:
+        """Call the LLM with the input and kwargs."""
+        variables = kwargs.get("variables")
+        history = kwargs.get("history") or []
+        input = perform_variable_replacements(input, history, variables)
+        return await self._delegate(input, **kwargs)
\ No newline at end of file
diff --git a/graphrag/graphrag/llm/openai/types.py b/graphrag/graphrag/llm/openai/types.py
new file mode 100644
index 0000000000000000000000000000000000000000..4aacf18c1c7437ac9f4ce8ec6019ca9421db45ba
--- /dev/null
+++ b/graphrag/graphrag/llm/openai/types.py
@@ -0,0 +1,11 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A base class for OpenAI-based LLMs."""
+
+from openai import (
+    AsyncAzureOpenAI,
+    AsyncOpenAI,
+)
+
+OpenAIClientTypes = AsyncOpenAI | AsyncAzureOpenAI
diff --git a/graphrag/graphrag/llm/openai/utils.py b/graphrag/graphrag/llm/openai/utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..d529a8c0691a76264ce4ea40d5237897ec048dc0
--- /dev/null
+++ b/graphrag/graphrag/llm/openai/utils.py
@@ -0,0 +1,113 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Utility functions for the OpenAI API."""
+
+import json
+import logging
+from collections.abc import Callable
+from typing import Any
+
+import tiktoken
+from openai import (
+    APIConnectionError,
+    InternalServerError,
+    RateLimitError,
+)
+
+from .openai_configuration import OpenAIConfiguration
+
+DEFAULT_ENCODING = "cl100k_base"
+
+_encoders: dict[str, tiktoken.Encoding] = {}
+
+RETRYABLE_ERRORS: list[type[Exception]] = [
+    RateLimitError,
+    APIConnectionError,
+    InternalServerError,
+]
+RATE_LIMIT_ERRORS: list[type[Exception]] = [RateLimitError]
+
+log = logging.getLogger(__name__)
+
+
+def get_token_counter(config: OpenAIConfiguration) -> Callable[[str], int]:
+    """Get a function that counts the number of tokens in a string."""
+    model = config.encoding_model or "cl100k_base"
+    enc = _encoders.get(model)
+    if enc is None:
+        enc = tiktoken.get_encoding(model)
+        _encoders[model] = enc
+
+    return lambda s: len(enc.encode(s))
+
+
+def perform_variable_replacements(
+    input: str, history: list[dict], variables: dict | None
+) -> str:
+    """Perform variable replacements on the input string and in a chat log."""
+    result = input
+
+    def replace_all(input: str) -> str:
+        result = input
+        if variables:
+            for entry in variables:
+                result = result.replace(f"{{{entry}}}", variables[entry])
+        return result
+
+    result = replace_all(result)
+    for i in range(len(history)):
+        entry = history[i]
+        if entry.get("role") == "system":
+            history[i]["content"] = replace_all(entry.get("content") or "")
+
+    return result
+
+
+def get_completion_cache_args(configuration: OpenAIConfiguration) -> dict:
+    """Get the cache arguments for a completion LLM."""
+    return {
+        "model": configuration.model,
+        "temperature": configuration.temperature,
+        "frequency_penalty": configuration.frequency_penalty,
+        "presence_penalty": configuration.presence_penalty,
+        "top_p": configuration.top_p,
+        "max_tokens": configuration.max_tokens,
+        "n": configuration.n,
+    }
+
+
+def get_completion_llm_args(
+    parameters: dict | None, configuration: OpenAIConfiguration
+) -> dict:
+    """Get the arguments for a completion LLM."""
+    return {
+        **get_completion_cache_args(configuration),
+        **(parameters or {}),
+    }
+
+
+def try_parse_json_object(input: str) -> dict:
+    """Generate JSON-string output using best-attempt prompting & parsing techniques."""
+    try:
+        result = json.loads(input)
+    except json.JSONDecodeError:
+        log.exception("error loading json, json=%s", input)
+        raise
+    else:
+        if not isinstance(result, dict):
+            raise TypeError
+        return result
+
+
+def get_sleep_time_from_error(e: Any) -> float:
+    """Extract the sleep time value from a RateLimitError. This is usually only available in Azure."""
+    sleep_time = 0.0
+    if isinstance(e, RateLimitError) and _please_retry_after in str(e):
+        # could be second or seconds
+        sleep_time = int(str(e).split(_please_retry_after)[1].split(" second")[0])
+
+    return sleep_time
+
+
+_please_retry_after = "Please retry after "
diff --git a/graphrag/graphrag/llm/types/__init__.py b/graphrag/graphrag/llm/types/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..c8277661d514344c0d548f007b13c95378e9c480
--- /dev/null
+++ b/graphrag/graphrag/llm/types/__init__.py
@@ -0,0 +1,46 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""LLM Typings."""
+
+from .llm import LLM
+from .llm_cache import LLMCache
+from .llm_callbacks import (
+    ErrorHandlerFn,
+    IsResponseValidFn,
+    LLMInvocationFn,
+    OnCacheActionFn,
+)
+from .llm_config import LLMConfig
+from .llm_invocation_result import LLMInvocationResult
+from .llm_io import (
+    LLMInput,
+    LLMOutput,
+)
+from .llm_types import (
+    CompletionInput,
+    CompletionLLM,
+    CompletionOutput,
+    EmbeddingInput,
+    EmbeddingLLM,
+    EmbeddingOutput,
+)
+
+__all__ = [
+    "LLM",
+    "CompletionInput",
+    "CompletionLLM",
+    "CompletionOutput",
+    "EmbeddingInput",
+    "EmbeddingLLM",
+    "EmbeddingOutput",
+    "ErrorHandlerFn",
+    "IsResponseValidFn",
+    "LLMCache",
+    "LLMConfig",
+    "LLMInput",
+    "LLMInvocationFn",
+    "LLMInvocationResult",
+    "LLMOutput",
+    "OnCacheActionFn",
+]
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diff --git a/graphrag/graphrag/llm/types/llm.py b/graphrag/graphrag/llm/types/llm.py
new file mode 100644
index 0000000000000000000000000000000000000000..fd8407e50e0bdc07bf456574eb186cdf05bda95c
--- /dev/null
+++ b/graphrag/graphrag/llm/types/llm.py
@@ -0,0 +1,28 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""LLM Types."""
+
+from typing import Generic, Protocol, TypeVar
+
+from typing_extensions import Unpack
+
+from .llm_io import (
+    LLMInput,
+    LLMOutput,
+)
+
+TIn = TypeVar("TIn", contravariant=True)
+TOut = TypeVar("TOut")
+
+
+class LLM(Protocol, Generic[TIn, TOut]):
+    """LLM Protocol definition."""
+
+    async def __call__(
+        self,
+        input: TIn,
+        **kwargs: Unpack[LLMInput],
+    ) -> LLMOutput[TOut]:
+        """Invoke the LLM, treating the LLM as a function."""
+        ...
diff --git a/graphrag/graphrag/llm/types/llm_cache.py b/graphrag/graphrag/llm/types/llm_cache.py
new file mode 100644
index 0000000000000000000000000000000000000000..952b8d346d6c7d9a7812b31a3398e07a5af8784d
--- /dev/null
+++ b/graphrag/graphrag/llm/types/llm_cache.py
@@ -0,0 +1,22 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Typing definitions for the OpenAI DataShaper package."""
+
+from typing import Any, Protocol
+
+
+class LLMCache(Protocol):
+    """LLM Cache interface."""
+
+    async def has(self, key: str) -> bool:
+        """Check if the cache has a value."""
+        ...
+
+    async def get(self, key: str) -> Any | None:
+        """Retrieve a value from the cache."""
+        ...
+
+    async def set(self, key: str, value: Any, debug_data: dict | None = None) -> None:
+        """Write a value into the cache."""
+        ...
diff --git a/graphrag/graphrag/llm/types/llm_callbacks.py b/graphrag/graphrag/llm/types/llm_callbacks.py
new file mode 100644
index 0000000000000000000000000000000000000000..dc06dbff068a6651f95709152e063361ded708a9
--- /dev/null
+++ b/graphrag/graphrag/llm/types/llm_callbacks.py
@@ -0,0 +1,20 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Typing definitions for the OpenAI DataShaper package."""
+
+from collections.abc import Callable
+
+from .llm_invocation_result import LLMInvocationResult
+
+ErrorHandlerFn = Callable[[BaseException | None, str | None, dict | None], None]
+"""Error handler function type definition."""
+
+LLMInvocationFn = Callable[[LLMInvocationResult], None]
+"""Handler for LLM invocation results"""
+
+OnCacheActionFn = Callable[[str, str | None], None]
+"""Handler for cache hits"""
+
+IsResponseValidFn = Callable[[dict], bool]
+"""A function that checks if an LLM response is valid."""
diff --git a/graphrag/graphrag/llm/types/llm_config.py b/graphrag/graphrag/llm/types/llm_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..cd7ec255b263cc308077a98109cdc15acbc8f0fb
--- /dev/null
+++ b/graphrag/graphrag/llm/types/llm_config.py
@@ -0,0 +1,35 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""LLM Configuration Protocol definition."""
+
+from typing import Protocol
+
+
+class LLMConfig(Protocol):
+    """LLM Configuration Protocol definition."""
+
+    @property
+    def max_retries(self) -> int | None:
+        """Get the maximum number of retries."""
+        ...
+
+    @property
+    def max_retry_wait(self) -> float | None:
+        """Get the maximum retry wait time."""
+        ...
+
+    @property
+    def sleep_on_rate_limit_recommendation(self) -> bool | None:
+        """Get whether to sleep on rate limit recommendation."""
+        ...
+
+    @property
+    def tokens_per_minute(self) -> int | None:
+        """Get the number of tokens per minute."""
+        ...
+
+    @property
+    def requests_per_minute(self) -> int | None:
+        """Get the number of requests per minute."""
+        ...
diff --git a/graphrag/graphrag/llm/types/llm_invocation_result.py b/graphrag/graphrag/llm/types/llm_invocation_result.py
new file mode 100644
index 0000000000000000000000000000000000000000..1769aeb96de042a80aac17c01f466a1096a1020f
--- /dev/null
+++ b/graphrag/graphrag/llm/types/llm_invocation_result.py
@@ -0,0 +1,35 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Typing definitions for the OpenAI DataShaper package."""
+
+from dataclasses import dataclass
+from typing import Generic, TypeVar
+
+T = TypeVar("T")
+
+
+@dataclass
+class LLMInvocationResult(Generic[T]):
+    """The result of an LLM invocation."""
+
+    result: T | None
+    """The result of the LLM invocation."""
+
+    name: str
+    """The operation name of the result"""
+
+    num_retries: int
+    """The number of retries the invocation took."""
+
+    total_time: float
+    """The total time of the LLM invocation."""
+
+    call_times: list[float]
+    """The network times of individual invocations."""
+
+    input_tokens: int
+    """The number of input tokens."""
+
+    output_tokens: int
+    """The number of output tokens."""
diff --git a/graphrag/graphrag/llm/types/llm_io.py b/graphrag/graphrag/llm/types/llm_io.py
new file mode 100644
index 0000000000000000000000000000000000000000..051b5b8288a2e7c8afd2e5c33a308b9eaf7f7115
--- /dev/null
+++ b/graphrag/graphrag/llm/types/llm_io.py
@@ -0,0 +1,50 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""LLM Types."""
+
+from dataclasses import dataclass, field
+from typing import Generic, TypeVar
+
+from typing_extensions import NotRequired, TypedDict
+
+from .llm_callbacks import IsResponseValidFn
+
+
+class LLMInput(TypedDict):
+    """The input of an LLM invocation."""
+
+    name: NotRequired[str]
+    """The name of the LLM invocation, if available."""
+
+    json: NotRequired[bool]
+    """If true, will attempt to elicit JSON from the LLM. Parsed JSON will be returned in the `json_output` field."""
+
+    is_response_valid: NotRequired[IsResponseValidFn]
+    """A function that checks if an LLM response is valid. Only valid if `json=True`."""
+
+    variables: NotRequired[dict]
+    """The variable replacements to use in the prompt."""
+
+    history: NotRequired[list[dict]]
+    """The history of the LLM invocation, if available (e.g. chat mode)"""
+
+    model_parameters: NotRequired[dict]
+    """Additional model parameters to use in the LLM invocation."""
+
+
+T = TypeVar("T")
+
+
+@dataclass
+class LLMOutput(Generic[T]):
+    """The output of an LLM invocation."""
+
+    output: T | None
+    """The output of the LLM invocation."""
+
+    json: dict | None = field(default=None)
+    """The JSON output from the LLM, if available."""
+
+    history: list[dict] | None = field(default=None)
+    """The history of the LLM invocation, if available (e.g. chat mode)"""
diff --git a/graphrag/graphrag/llm/types/llm_types.py b/graphrag/graphrag/llm/types/llm_types.py
new file mode 100644
index 0000000000000000000000000000000000000000..7ae76ef9bed56bbf9b49afe4858fae6575dca281
--- /dev/null
+++ b/graphrag/graphrag/llm/types/llm_types.py
@@ -0,0 +1,16 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""LLM Types."""
+
+from typing import TypeAlias
+
+from .llm import LLM
+
+EmbeddingInput: TypeAlias = list[str]
+EmbeddingOutput: TypeAlias = list[list[float]]
+CompletionInput: TypeAlias = str
+CompletionOutput: TypeAlias = str
+
+EmbeddingLLM: TypeAlias = LLM[EmbeddingInput, EmbeddingOutput]
+CompletionLLM: TypeAlias = LLM[CompletionInput, CompletionOutput]
diff --git a/graphrag/graphrag/model/__init__.py b/graphrag/graphrag/model/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..9dbec3d1dd24ba6301262898692ebed06b83feb9
--- /dev/null
+++ b/graphrag/graphrag/model/__init__.py
@@ -0,0 +1,31 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""
+GraphRAG knowledge model package root.
+
+The GraphRAG knowledge model contains a set of classes that represent the target datamodels for our pipelines and analytics tools.
+These models can be augmented and integrated into your own data infrastructure to suit your needs.
+"""
+
+from .community import Community
+from .community_report import CommunityReport
+from .covariate import Covariate
+from .document import Document
+from .entity import Entity
+from .identified import Identified
+from .named import Named
+from .relationship import Relationship
+from .text_unit import TextUnit
+
+__all__ = [
+    "Community",
+    "CommunityReport",
+    "Covariate",
+    "Document",
+    "Entity",
+    "Identified",
+    "Named",
+    "Relationship",
+    "TextUnit",
+]
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diff --git a/graphrag/graphrag/model/community.py b/graphrag/graphrag/model/community.py
new file mode 100644
index 0000000000000000000000000000000000000000..800a9a292a1bf0afdfb8a858d5050ed754398c12
--- /dev/null
+++ b/graphrag/graphrag/model/community.py
@@ -0,0 +1,54 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A package containing the 'Community' model."""
+
+from dataclasses import dataclass
+from typing import Any
+
+from .named import Named
+
+
+@dataclass
+class Community(Named):
+    """A protocol for a community in the system."""
+
+    level: str = ""
+    """Community level."""
+
+    entity_ids: list[str] | None = None
+    """List of entity IDs related to the community (optional)."""
+
+    relationship_ids: list[str] | None = None
+    """List of relationship IDs related to the community (optional)."""
+
+    covariate_ids: dict[str, list[str]] | None = None
+    """Dictionary of different types of covariates related to the community (optional), e.g. claims"""
+
+    attributes: dict[str, Any] | None = None
+    """A dictionary of additional attributes associated with the community (optional). To be included in the search prompt."""
+
+    @classmethod
+    def from_dict(
+        cls,
+        d: dict[str, Any],
+        id_key: str = "id",
+        title_key: str = "title",
+        short_id_key: str = "short_id",
+        level_key: str = "level",
+        entities_key: str = "entity_ids",
+        relationships_key: str = "relationship_ids",
+        covariates_key: str = "covariate_ids",
+        attributes_key: str = "attributes",
+    ) -> "Community":
+        """Create a new community from the dict data."""
+        return Community(
+            id=d[id_key],
+            title=d[title_key],
+            short_id=d.get(short_id_key),
+            level=d[level_key],
+            entity_ids=d.get(entities_key),
+            relationship_ids=d.get(relationships_key),
+            covariate_ids=d.get(covariates_key),
+            attributes=d.get(attributes_key),
+        )
diff --git a/graphrag/graphrag/model/community_report.py b/graphrag/graphrag/model/community_report.py
new file mode 100644
index 0000000000000000000000000000000000000000..2666c0b5a81d5a57cebb06ed91bf184c36d2fa41
--- /dev/null
+++ b/graphrag/graphrag/model/community_report.py
@@ -0,0 +1,64 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A package containing the 'CommunityReport' model."""
+
+from dataclasses import dataclass
+from typing import Any
+
+from .named import Named
+
+
+@dataclass
+class CommunityReport(Named):
+    """Defines an LLM-generated summary report of a community."""
+
+    community_id: str
+    """The ID of the community this report is associated with."""
+
+    summary: str = ""
+    """Summary of the report."""
+
+    full_content: str = ""
+    """Full content of the report."""
+
+    rank: float | None = 1.0
+    """Rank of the report, used for sorting (optional). Higher means more important"""
+
+    summary_embedding: list[float] | None = None
+    """The semantic (i.e. text) embedding of the report summary (optional)."""
+
+    full_content_embedding: list[float] | None = None
+    """The semantic (i.e. text) embedding of the full report content (optional)."""
+
+    attributes: dict[str, Any] | None = None
+    """A dictionary of additional attributes associated with the report (optional)."""
+
+    @classmethod
+    def from_dict(
+        cls,
+        d: dict[str, Any],
+        id_key: str = "id",
+        title_key: str = "title",
+        community_id_key: str = "community_id",
+        short_id_key: str = "short_id",
+        summary_key: str = "summary",
+        full_content_key: str = "full_content",
+        rank_key: str = "rank",
+        summary_embedding_key: str = "summary_embedding",
+        full_content_embedding_key: str = "full_content_embedding",
+        attributes_key: str = "attributes",
+    ) -> "CommunityReport":
+        """Create a new community report from the dict data."""
+        return CommunityReport(
+            id=d[id_key],
+            title=d[title_key],
+            community_id=d[community_id_key],
+            short_id=d.get(short_id_key),
+            summary=d[summary_key],
+            full_content=d[full_content_key],
+            rank=d[rank_key],
+            summary_embedding=d.get(summary_embedding_key),
+            full_content_embedding=d.get(full_content_embedding_key),
+            attributes=d.get(attributes_key),
+        )
diff --git a/graphrag/graphrag/model/covariate.py b/graphrag/graphrag/model/covariate.py
new file mode 100644
index 0000000000000000000000000000000000000000..b974b6b3273e5daafa0e15a2f9e32eb3a894bc23
--- /dev/null
+++ b/graphrag/graphrag/model/covariate.py
@@ -0,0 +1,61 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A package containing the 'Covariate' model."""
+
+from dataclasses import dataclass
+from typing import Any
+
+from .identified import Identified
+
+
+@dataclass
+class Covariate(Identified):
+    """
+    A protocol for a covariate in the system.
+
+    Covariates are metadata associated with a subject, e.g. entity claims.
+    Each subject (e.g. entity) may be associated with multiple types of covariates.
+    """
+
+    subject_id: str
+    """The subject id."""
+
+    subject_type: str = "entity"
+    """The subject type."""
+
+    covariate_type: str = "claim"
+    """The covariate type."""
+
+    text_unit_ids: list[str] | None = None
+    """List of text unit IDs in which the covariate info appears (optional)."""
+
+    document_ids: list[str] | None = None
+    """List of document IDs in which the covariate info appears (optional)."""
+
+    attributes: dict[str, Any] | None = None
+
+    @classmethod
+    def from_dict(
+        cls,
+        d: dict[str, Any],
+        id_key: str = "id",
+        subject_id_key: str = "subject_id",
+        subject_type_key: str = "subject_type",
+        covariate_type_key: str = "covariate_type",
+        short_id_key: str = "short_id",
+        text_unit_ids_key: str = "text_unit_ids",
+        document_ids_key: str = "document_ids",
+        attributes_key: str = "attributes",
+    ) -> "Covariate":
+        """Create a new covariate from the dict data."""
+        return Covariate(
+            id=d[id_key],
+            short_id=d.get(short_id_key),
+            subject_id=d[subject_id_key],
+            subject_type=d.get(subject_type_key, "entity"),
+            covariate_type=d.get(covariate_type_key, "claim"),
+            text_unit_ids=d.get(text_unit_ids_key),
+            document_ids=d.get(document_ids_key),
+            attributes=d.get(attributes_key),
+        )
diff --git a/graphrag/graphrag/model/document.py b/graphrag/graphrag/model/document.py
new file mode 100644
index 0000000000000000000000000000000000000000..b54a39ac910379a334a3f6235fbab5fb2451827b
--- /dev/null
+++ b/graphrag/graphrag/model/document.py
@@ -0,0 +1,64 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A package containing the 'Document' model."""
+
+from dataclasses import dataclass, field
+from typing import Any
+
+from .named import Named
+
+
+@dataclass
+class Document(Named):
+    """A protocol for a document in the system."""
+
+    type: str = "text"
+    """Type of the document."""
+
+    text_unit_ids: list[str] = field(default_factory=list)
+    """list of text units in the document."""
+
+    raw_content: str = ""
+    """The raw text content of the document."""
+
+    summary: str | None = None
+    """Summary of the document (optional)."""
+
+    summary_embedding: list[float] | None = None
+    """The semantic embedding for the document summary (optional)."""
+
+    raw_content_embedding: list[float] | None = None
+    """The semantic embedding for the document raw content (optional)."""
+
+    attributes: dict[str, Any] | None = None
+    """A dictionary of structured attributes such as author, etc (optional)."""
+
+    @classmethod
+    def from_dict(
+        cls,
+        d: dict[str, Any],
+        id_key: str = "id",
+        short_id_key: str = "short_id",
+        title_key: str = "title",
+        type_key: str = "type",
+        raw_content_key: str = "raw_content",
+        summary_key: str = "summary",
+        summary_embedding_key: str = "summary_embedding",
+        raw_content_embedding_key: str = "raw_content_embedding",
+        text_units_key: str = "text_units",
+        attributes_key: str = "attributes",
+    ) -> "Document":
+        """Create a new document from the dict data."""
+        return Document(
+            id=d[id_key],
+            short_id=d.get(short_id_key),
+            title=d[title_key],
+            type=d.get(type_key, "text"),
+            raw_content=d[raw_content_key],
+            summary=d.get(summary_key),
+            summary_embedding=d.get(summary_embedding_key),
+            raw_content_embedding=d.get(raw_content_embedding_key),
+            text_unit_ids=d.get(text_units_key, []),
+            attributes=d.get(attributes_key),
+        )
diff --git a/graphrag/graphrag/model/entity.py b/graphrag/graphrag/model/entity.py
new file mode 100644
index 0000000000000000000000000000000000000000..37c26342aa3169d54a21fe2455b8756823ba0d49
--- /dev/null
+++ b/graphrag/graphrag/model/entity.py
@@ -0,0 +1,79 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A package containing the 'Entity' model."""
+
+from dataclasses import dataclass
+from typing import Any
+
+from .named import Named
+
+
+@dataclass
+class Entity(Named):
+    """A protocol for an entity in the system."""
+
+    type: str | None = None
+    """Type of the entity (can be any string, optional)."""
+
+    description: str | None = None
+    """Description of the entity (optional)."""
+
+    description_embedding: list[float] | None = None
+    """The semantic (i.e. text) embedding of the entity (optional)."""
+
+    name_embedding: list[float] | None = None
+    """The semantic (i.e. text) embedding of the entity (optional)."""
+
+    graph_embedding: list[float] | None = None
+    """The graph embedding of the entity, likely from node2vec (optional)."""
+
+    community_ids: list[str] | None = None
+    """The community IDs of the entity (optional)."""
+
+    text_unit_ids: list[str] | None = None
+    """List of text unit IDs in which the entity appears (optional)."""
+
+    document_ids: list[str] | None = None
+    """List of document IDs in which the entity appears (optional)."""
+
+    rank: int | None = 1
+    """Rank of the entity, used for sorting (optional). Higher rank indicates more important entity. This can be based on centrality or other metrics."""
+
+    attributes: dict[str, Any] | None = None
+    """Additional attributes associated with the entity (optional), e.g. start time, end time, etc. To be included in the search prompt."""
+
+    @classmethod
+    def from_dict(
+        cls,
+        d: dict[str, Any],
+        id_key: str = "id",
+        short_id_key: str = "short_id",
+        title_key: str = "title",
+        type_key: str = "type",
+        description_key: str = "description",
+        description_embedding_key: str = "description_embedding",
+        name_embedding_key: str = "name_embedding",
+        graph_embedding_key: str = "graph_embedding",
+        community_key: str = "community",
+        text_unit_ids_key: str = "text_unit_ids",
+        document_ids_key: str = "document_ids",
+        rank_key: str = "degree",
+        attributes_key: str = "attributes",
+    ) -> "Entity":
+        """Create a new entity from the dict data."""
+        return Entity(
+            id=d[id_key],
+            title=d[title_key],
+            short_id=d.get(short_id_key),
+            type=d.get(type_key),
+            description=d.get(description_key),
+            name_embedding=d.get(name_embedding_key),
+            description_embedding=d.get(description_embedding_key),
+            graph_embedding=d.get(graph_embedding_key),
+            community_ids=d.get(community_key),
+            rank=d.get(rank_key, 1),
+            text_unit_ids=d.get(text_unit_ids_key),
+            document_ids=d.get(document_ids_key),
+            attributes=d.get(attributes_key),
+        )
diff --git a/graphrag/graphrag/model/identified.py b/graphrag/graphrag/model/identified.py
new file mode 100644
index 0000000000000000000000000000000000000000..ca2c939526490588f1fa58f18c164e12d2a70617
--- /dev/null
+++ b/graphrag/graphrag/model/identified.py
@@ -0,0 +1,17 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A package containing the 'Identified' protocol."""
+
+from dataclasses import dataclass
+
+
+@dataclass
+class Identified:
+    """A protocol for an item with an ID."""
+
+    id: str
+    """The ID of the item."""
+
+    short_id: str | None
+    """Human readable ID used to refer to this community in prompts or texts displayed to users, such as in a report text (optional)."""
diff --git a/graphrag/graphrag/model/named.py b/graphrag/graphrag/model/named.py
new file mode 100644
index 0000000000000000000000000000000000000000..5352c77c96f8a6a6f375bef5bb03bd92ba86f964
--- /dev/null
+++ b/graphrag/graphrag/model/named.py
@@ -0,0 +1,16 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A package containing the 'Named' protocol."""
+
+from dataclasses import dataclass
+
+from .identified import Identified
+
+
+@dataclass
+class Named(Identified):
+    """A protocol for an item with a name/title."""
+
+    title: str
+    """The name/title of the item."""
diff --git a/graphrag/graphrag/model/relationship.py b/graphrag/graphrag/model/relationship.py
new file mode 100644
index 0000000000000000000000000000000000000000..fadd0aaa6f1352592caf48911881c1c01d55e7eb
--- /dev/null
+++ b/graphrag/graphrag/model/relationship.py
@@ -0,0 +1,65 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A package containing the 'Relationship' model."""
+
+from dataclasses import dataclass
+from typing import Any
+
+from .identified import Identified
+
+
+@dataclass
+class Relationship(Identified):
+    """A relationship between two entities. This is a generic relationship, and can be used to represent any type of relationship between any two entities."""
+
+    source: str
+    """The source entity name."""
+
+    target: str
+    """The target entity name."""
+
+    weight: float | None = 1.0
+    """The edge weight."""
+
+    description: str | None = None
+    """A description of the relationship (optional)."""
+
+    description_embedding: list[float] | None = None
+    """The semantic embedding for the relationship description (optional)."""
+
+    text_unit_ids: list[str] | None = None
+    """List of text unit IDs in which the relationship appears (optional)."""
+
+    document_ids: list[str] | None = None
+    """List of document IDs in which the relationship appears (optional)."""
+
+    attributes: dict[str, Any] | None = None
+    """Additional attributes associated with the relationship (optional). To be included in the search prompt"""
+
+    @classmethod
+    def from_dict(
+        cls,
+        d: dict[str, Any],
+        id_key: str = "id",
+        short_id_key: str = "short_id",
+        source_key: str = "source",
+        target_key: str = "target",
+        description_key: str = "description",
+        weight_key: str = "weight",
+        text_unit_ids_key: str = "text_unit_ids",
+        document_ids_key: str = "document_ids",
+        attributes_key: str = "attributes",
+    ) -> "Relationship":
+        """Create a new relationship from the dict data."""
+        return Relationship(
+            id=d[id_key],
+            short_id=d.get(short_id_key),
+            source=d[source_key],
+            target=d[target_key],
+            description=d.get(description_key),
+            weight=d.get(weight_key, 1.0),
+            text_unit_ids=d.get(text_unit_ids_key),
+            document_ids=d.get(document_ids_key),
+            attributes=d.get(attributes_key),
+        )
diff --git a/graphrag/graphrag/model/text_unit.py b/graphrag/graphrag/model/text_unit.py
new file mode 100644
index 0000000000000000000000000000000000000000..cff4ac01c1a9da26e0ca1e506d752042e5140393
--- /dev/null
+++ b/graphrag/graphrag/model/text_unit.py
@@ -0,0 +1,67 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A package containing the 'TextUnit' model."""
+
+from dataclasses import dataclass
+from typing import Any
+
+from .identified import Identified
+
+
+@dataclass
+class TextUnit(Identified):
+    """A protocol for a TextUnit item in a Document database."""
+
+    text: str
+    """The text of the unit."""
+
+    text_embedding: list[float] | None = None
+    """The text embedding for the text unit (optional)."""
+
+    entity_ids: list[str] | None = None
+    """List of entity IDs related to the text unit (optional)."""
+
+    relationship_ids: list[str] | None = None
+    """List of relationship IDs related to the text unit (optional)."""
+
+    covariate_ids: dict[str, list[str]] | None = None
+    "Dictionary of different types of covariates related to the text unit (optional)."
+
+    n_tokens: int | None = None
+    """The number of tokens in the text (optional)."""
+
+    document_ids: list[str] | None = None
+    """List of document IDs in which the text unit appears (optional)."""
+
+    attributes: dict[str, Any] | None = None
+    """A dictionary of additional attributes associated with the text unit (optional)."""
+
+    @classmethod
+    def from_dict(
+        cls,
+        d: dict[str, Any],
+        id_key: str = "id",
+        short_id_key: str = "short_id",
+        text_key: str = "text",
+        text_embedding_key: str = "text_embedding",
+        entities_key: str = "entity_ids",
+        relationships_key: str = "relationship_ids",
+        covariates_key: str = "covariate_ids",
+        n_tokens_key: str = "n_tokens",
+        document_ids_key: str = "document_ids",
+        attributes_key: str = "attributes",
+    ) -> "TextUnit":
+        """Create a new text unit from the dict data."""
+        return TextUnit(
+            id=d[id_key],
+            short_id=d.get(short_id_key),
+            text=d[text_key],
+            text_embedding=d.get(text_embedding_key),
+            entity_ids=d.get(entities_key),
+            relationship_ids=d.get(relationships_key),
+            covariate_ids=d.get(covariates_key),
+            n_tokens=d.get(n_tokens_key),
+            document_ids=d.get(document_ids_key),
+            attributes=d.get(attributes_key),
+        )
diff --git a/graphrag/graphrag/model/types.py b/graphrag/graphrag/model/types.py
new file mode 100644
index 0000000000000000000000000000000000000000..6156e39969d978edc6e9175ee69b6f423111e9da
--- /dev/null
+++ b/graphrag/graphrag/model/types.py
@@ -0,0 +1,8 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Common types for the GraphRAG knowledge model."""
+
+from collections.abc import Callable
+
+TextEmbedder = Callable[[str], list[float]]
diff --git a/graphrag/graphrag/prompt_tune/__init__.py b/graphrag/graphrag/prompt_tune/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..2384b5793c01eba522d8e5288963cb06c38f2e96
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/__init__.py
@@ -0,0 +1,4 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Command line interface for the fine_tune module."""
diff --git a/graphrag/graphrag/prompt_tune/__main__.py b/graphrag/graphrag/prompt_tune/__main__.py
new file mode 100644
index 0000000000000000000000000000000000000000..dfa65e71bf7923628a1b95b0251ffdd77210ef6d
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/__main__.py
@@ -0,0 +1,120 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Prompt auto templating package root."""
+
+import argparse
+import asyncio
+from enum import Enum
+
+from graphrag.prompt_tune.generator import MAX_TOKEN_COUNT
+from graphrag.prompt_tune.loader import MIN_CHUNK_SIZE
+
+from .cli import fine_tune
+
+
+class DocSelectionType(Enum):
+    """The type of document selection to use."""
+
+    ALL = "all"
+    RANDOM = "random"
+    TOP = "top"
+
+    def __str__(self):
+        """Return the string representation of the enum value."""
+        return self.value
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument(
+        "--root",
+        help="The data project root. Including the config yml, json or .env",
+        required=False,
+        type=str,
+        default=".",
+    )
+
+    parser.add_argument(
+        "--domain",
+        help="The domain your input data is related to. For example 'space science', 'microbiology', 'environmental news'. If left empty, the domain will be inferred from the input data.",
+        required=False,
+        default="",
+        type=str,
+    )
+
+    parser.add_argument(
+        "--method",
+        help="The method to select documents, one of: all, random or top",
+        required=False,
+        type=DocSelectionType,
+        choices=list(DocSelectionType),
+        default=DocSelectionType.RANDOM,
+    )
+
+    parser.add_argument(
+        "--limit",
+        help="The limit of files to load when doing random or top selection",
+        type=int,
+        required=False,
+        default=15,
+    )
+
+    parser.add_argument(
+        "--max-tokens",
+        help="Max token count for prompt generation",
+        type=int,
+        required=False,
+        default=MAX_TOKEN_COUNT,
+    )
+
+    parser.add_argument(
+        "--chunk-size",
+        help="Max token count for prompt generation",
+        type=int,
+        required=False,
+        default=MIN_CHUNK_SIZE,
+    )
+
+    parser.add_argument(
+        "--language",
+        help="Primary language used for inputs and outputs on GraphRAG",
+        type=str,
+        required=False,
+        default="",
+    )
+
+    parser.add_argument(
+        "--no-entity-types",
+        help="Use untyped entity extraction generation",
+        action="store_true",
+        required=False,
+        default=False,
+    )
+
+    parser.add_argument(
+        "--output",
+        help="Folder to save the generated prompts to",
+        type=str,
+        required=False,
+        default="prompts",
+    )
+
+    args = parser.parse_args()
+
+    loop = asyncio.get_event_loop()
+
+    loop.run_until_complete(
+        fine_tune(
+            args.root,
+            args.domain,
+            str(args.method),
+            args.limit,
+            args.max_tokens,
+            args.chunk_size,
+            args.language,
+            args.no_entity_types,
+            args.output,
+        )
+    )
diff --git a/graphrag/graphrag/prompt_tune/cli.py b/graphrag/graphrag/prompt_tune/cli.py
new file mode 100644
index 0000000000000000000000000000000000000000..f26b1c09b11fb04c88dedd95b32b91094ea6d37a
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/cli.py
@@ -0,0 +1,253 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Command line interface for the fine_tune module."""
+
+from pathlib import Path
+
+from datashaper import NoopVerbCallbacks
+
+from graphrag.config.models.graph_rag_config import GraphRagConfig
+from graphrag.index.llm import load_llm
+from graphrag.index.progress import PrintProgressReporter
+from graphrag.index.progress.types import ProgressReporter
+from graphrag.llm.types.llm_types import CompletionLLM
+from graphrag.prompt_tune.generator import (
+    MAX_TOKEN_COUNT,
+    create_community_summarization_prompt,
+    create_entity_extraction_prompt,
+    create_entity_summarization_prompt,
+    detect_language,
+    generate_community_report_rating,
+    generate_community_reporter_role,
+    generate_domain,
+    generate_entity_relationship_examples,
+    generate_entity_types,
+    generate_persona,
+)
+from graphrag.prompt_tune.loader import (
+    MIN_CHUNK_SIZE,
+    load_docs_in_chunks,
+    read_config_parameters,
+)
+
+
+async def fine_tune(
+    root: str,
+    domain: str,
+    select: str = "random",
+    limit: int = 15,
+    max_tokens: int = MAX_TOKEN_COUNT,
+    chunk_size: int = MIN_CHUNK_SIZE,
+    language: str | None = None,
+    skip_entity_types: bool = False,
+    output: str = "prompts",
+):
+    """Fine tune the model.
+
+    Parameters
+    ----------
+    - root: The root directory.
+    - domain: The domain to map the input documents to.
+    - select: The chunk selection method.
+    - limit: The limit of chunks to load.
+    - max_tokens: The maximum number of tokens to use on entity extraction prompts.
+    - chunk_size: The chunk token size to use.
+    - skip_entity_types: Skip generating entity types.
+    - output: The output folder to store the prompts.
+    """
+    reporter = PrintProgressReporter("")
+    config = read_config_parameters(root, reporter)
+
+    await fine_tune_with_config(
+        root,
+        config,
+        domain,
+        select,
+        limit,
+        max_tokens,
+        chunk_size,
+        language,
+        skip_entity_types,
+        output,
+        reporter,
+    )
+
+
+async def fine_tune_with_config(
+    root: str,
+    config: GraphRagConfig,
+    domain: str,
+    select: str = "random",
+    limit: int = 15,
+    max_tokens: int = MAX_TOKEN_COUNT,
+    chunk_size: int = MIN_CHUNK_SIZE,
+    language: str | None = None,
+    skip_entity_types: bool = False,
+    output: str = "prompts",
+    reporter: ProgressReporter | None = None,
+):
+    """Fine tune the model with a configuration.
+
+    Parameters
+    ----------
+    - root: The root directory.
+    - config: The GraphRag configuration.
+    - domain: The domain to map the input documents to.
+    - select: The chunk selection method.
+    - limit: The limit of chunks to load.
+    - max_tokens: The maximum number of tokens to use on entity extraction prompts.
+    - chunk_size: The chunk token size to use for input text units.
+    - skip_entity_types: Skip generating entity types.
+    - output: The output folder to store the prompts.
+    - reporter: The progress reporter.
+
+    Returns
+    -------
+    - None
+    """
+    if not reporter:
+        reporter = PrintProgressReporter("")
+
+    output_path = Path(config.root_dir) / output
+
+    doc_list = await load_docs_in_chunks(
+        root=root,
+        config=config,
+        limit=limit,
+        select_method=select,
+        reporter=reporter,
+        chunk_size=chunk_size,
+    )
+
+    # Create LLM from config
+    llm = load_llm(
+        "fine_tuning",
+        config.llm.type,
+        NoopVerbCallbacks(),
+        None,
+        config.llm.model_dump(),
+    )
+
+    await generate_indexing_prompts(
+        llm,
+        config,
+        doc_list,
+        output_path,
+        reporter,
+        domain,
+        language,
+        max_tokens,
+        skip_entity_types,
+    )
+
+
+async def generate_indexing_prompts(
+    llm: CompletionLLM,
+    config: GraphRagConfig,
+    doc_list: list[str],
+    output_path: Path,
+    reporter: ProgressReporter,
+    domain: str | None = None,
+    language: str | None = None,
+    max_tokens: int = MAX_TOKEN_COUNT,
+    skip_entity_types: bool = False,
+):
+    """Generate indexing prompts.
+
+    Parameters
+    ----------
+    - llm: The LLM model to use.
+    - config: The GraphRag configuration.
+    - doc_list: The list of documents to use.
+    - output_path: The path to store the prompts.
+    - reporter: The progress reporter.
+    - domain: The domain to map the input documents to.
+    - max_tokens: The maximum number of tokens to use on entity extraction prompts
+    - skip_entity_types: Skip generating entity types.
+    """
+    if not domain:
+        reporter.info("Generating domain...")
+        domain = await generate_domain(llm, doc_list)
+        reporter.info(f"Generated domain: {domain}")
+
+    if not language:
+        reporter.info("Detecting language...")
+        language = await detect_language(llm, doc_list)
+        reporter.info(f"Detected language: {language}")
+
+    reporter.info("Generating persona...")
+    persona = await generate_persona(llm, domain)
+    reporter.info(f"Generated persona: {persona}")
+
+    reporter.info("Generating community report ranking description...")
+    community_report_ranking = await generate_community_report_rating(
+        llm, domain=domain, persona=persona, docs=doc_list
+    )
+    reporter.info(
+        f"Generated community report ranking description: {community_report_ranking}"
+    )
+
+    entity_types = None
+    if not skip_entity_types:
+        reporter.info("Generating entity types")
+        entity_types = await generate_entity_types(
+            llm,
+            domain=domain,
+            persona=persona,
+            docs=doc_list,
+            json_mode=config.llm.model_supports_json or False,
+        )
+        reporter.info(f"Generated entity types: {entity_types}")
+
+    reporter.info("Generating entity relationship examples...")
+    examples = await generate_entity_relationship_examples(
+        llm,
+        persona=persona,
+        entity_types=entity_types,
+        docs=doc_list,
+        language=language,
+        json_mode=False,  # config.llm.model_supports_json should be used, but this prompts are used in non-json by the index engine
+    )
+    reporter.info("Done generating entity relationship examples")
+
+    reporter.info("Generating entity extraction prompt...")
+    create_entity_extraction_prompt(
+        entity_types=entity_types,
+        docs=doc_list,
+        examples=examples,
+        language=language,
+        json_mode=False,  # config.llm.model_supports_json should be used, but this prompts are used in non-json by the index engine
+        output_path=output_path,
+        encoding_model=config.encoding_model,
+        max_token_count=max_tokens,
+    )
+    reporter.info(f"Generated entity extraction prompt, stored in folder {output_path}")
+
+    reporter.info("Generating entity summarization prompt...")
+    create_entity_summarization_prompt(
+        persona=persona,
+        language=language,
+        output_path=output_path,
+    )
+    reporter.info(
+        f"Generated entity summarization prompt, stored in folder {output_path}"
+    )
+
+    reporter.info("Generating community reporter role...")
+    community_reporter_role = await generate_community_reporter_role(
+        llm, domain=domain, persona=persona, docs=doc_list
+    )
+    reporter.info(f"Generated community reporter role: {community_reporter_role}")
+
+    reporter.info("Generating community summarization prompt...")
+    create_community_summarization_prompt(
+        persona=persona,
+        role=community_reporter_role,
+        report_rating_description=community_report_ranking,
+        language=language,
+        output_path=output_path,
+    )
+    reporter.info(
+        f"Generated community summarization prompt, stored in folder {output_path}"
+    )
diff --git a/graphrag/graphrag/prompt_tune/generator/__init__.py b/graphrag/graphrag/prompt_tune/generator/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..df45b460337621b95356c0d2c35c96efcba878eb
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/generator/__init__.py
@@ -0,0 +1,30 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Prompt generation module."""
+
+from .community_report_rating import generate_community_report_rating
+from .community_report_summarization import create_community_summarization_prompt
+from .community_reporter_role import generate_community_reporter_role
+from .defaults import MAX_TOKEN_COUNT
+from .domain import generate_domain
+from .entity_extraction_prompt import create_entity_extraction_prompt
+from .entity_relationship import generate_entity_relationship_examples
+from .entity_summarization_prompt import create_entity_summarization_prompt
+from .entity_types import generate_entity_types
+from .language import detect_language
+from .persona import generate_persona
+
+__all__ = [
+    "MAX_TOKEN_COUNT",
+    "create_community_summarization_prompt",
+    "create_entity_extraction_prompt",
+    "create_entity_summarization_prompt",
+    "detect_language",
+    "generate_community_report_rating",
+    "generate_community_reporter_role",
+    "generate_domain",
+    "generate_entity_relationship_examples",
+    "generate_entity_types",
+    "generate_persona",
+]
diff --git a/graphrag/graphrag/prompt_tune/generator/community_report_rating.py b/graphrag/graphrag/prompt_tune/generator/community_report_rating.py
new file mode 100644
index 0000000000000000000000000000000000000000..59f94d56987ccd36be1a534651c93d085dd09ccb
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/generator/community_report_rating.py
@@ -0,0 +1,35 @@
+"""Generate a rating description for community report rating."""
+
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+from graphrag.llm.types.llm_types import CompletionLLM
+from graphrag.prompt_tune.prompt import (
+    GENERATE_REPORT_RATING_PROMPT,
+)
+
+
+async def generate_community_report_rating(
+    llm: CompletionLLM, domain: str, persona: str, docs: str | list[str]
+) -> str:
+    """Generate an LLM persona to use for GraphRAG prompts.
+
+    Parameters
+    ----------
+    - llm (CompletionLLM): The LLM to use for generation
+    - domain (str): The domain to generate a rating for
+    - persona (str): The persona to generate a rating for for
+    - docs (str | list[str]): Documents used to contextualize the rating
+
+    Returns
+    -------
+    - str: The generated rating description prompt response.
+    """
+    docs_str = " ".join(docs) if isinstance(docs, list) else docs
+    domain_prompt = GENERATE_REPORT_RATING_PROMPT.format(
+        domain=domain, persona=persona, input_text=docs_str
+    )
+
+    response = await llm(domain_prompt)
+
+    return str(response.output).strip()
diff --git a/graphrag/graphrag/prompt_tune/generator/community_report_summarization.py b/graphrag/graphrag/prompt_tune/generator/community_report_summarization.py
new file mode 100644
index 0000000000000000000000000000000000000000..82a95ce6d68aabeaa51f8f30af31d5e54a33585e
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/generator/community_report_summarization.py
@@ -0,0 +1,48 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Module for generating prompts for community report summarization."""
+
+from pathlib import Path
+
+from graphrag.prompt_tune.template import COMMUNITY_REPORT_SUMMARIZATION_PROMPT
+
+COMMUNITY_SUMMARIZATION_FILENAME = "community_report.txt"
+
+
+def create_community_summarization_prompt(
+    persona: str,
+    role: str,
+    report_rating_description: str,
+    language: str,
+    output_path: Path | None = None,
+) -> str:
+    """Create a prompt for community summarization. If output_path is provided, write the prompt to a file.
+
+    Parameters
+    ----------
+    - persona (str): The persona to use for the community summarization prompt
+    - role (str): The role to use for the community summarization prompt
+    - language (str): The language to use for the community summarization prompt
+    - output_path (Path | None): The path to write the prompt to. Default is None. If None, the prompt is not written to a file. Default is None.
+
+    Returns
+    -------
+    - str: The community summarization prompt
+    """
+    prompt = COMMUNITY_REPORT_SUMMARIZATION_PROMPT.format(
+        persona=persona,
+        role=role,
+        report_rating_description=report_rating_description,
+        language=language,
+    )
+
+    if output_path:
+        output_path.mkdir(parents=True, exist_ok=True)
+
+        output_path = output_path / COMMUNITY_SUMMARIZATION_FILENAME
+        # Write file to output path
+        with output_path.open("w") as file:
+            file.write(prompt)
+
+    return prompt
diff --git a/graphrag/graphrag/prompt_tune/generator/community_reporter_role.py b/graphrag/graphrag/prompt_tune/generator/community_reporter_role.py
new file mode 100644
index 0000000000000000000000000000000000000000..9abd5ed83f8b27808927d23a2f9e4da2df962087
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/generator/community_reporter_role.py
@@ -0,0 +1,35 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Generate a community reporter role for community summarization."""
+
+from graphrag.llm.types.llm_types import CompletionLLM
+from graphrag.prompt_tune.prompt import (
+    GENERATE_COMMUNITY_REPORTER_ROLE_PROMPT,
+)
+
+
+async def generate_community_reporter_role(
+    llm: CompletionLLM, domain: str, persona: str, docs: str | list[str]
+) -> str:
+    """Generate an LLM persona to use for GraphRAG prompts.
+
+    Parameters
+    ----------
+    - llm (CompletionLLM): The LLM to use for generation
+    - domain (str): The domain to generate a persona for
+    - persona (str): The persona to generate a role for
+    - docs (str | list[str]): The domain to generate a persona for
+
+    Returns
+    -------
+    - str: The generated domain prompt response.
+    """
+    docs_str = " ".join(docs) if isinstance(docs, list) else docs
+    domain_prompt = GENERATE_COMMUNITY_REPORTER_ROLE_PROMPT.format(
+        domain=domain, persona=persona, input_text=docs_str
+    )
+
+    response = await llm(domain_prompt)
+
+    return str(response.output)
diff --git a/graphrag/graphrag/prompt_tune/generator/defaults.py b/graphrag/graphrag/prompt_tune/generator/defaults.py
new file mode 100644
index 0000000000000000000000000000000000000000..5b42f81332faebe32e6e2ea51a004c1b96fda362
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/generator/defaults.py
@@ -0,0 +1,10 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Default values for the fine-tuning module."""
+
+DEFAULT_TASK = """
+Identify the relations and structure of the community of interest, specifically within the {domain} domain.
+"""
+
+MAX_TOKEN_COUNT = 2000
diff --git a/graphrag/graphrag/prompt_tune/generator/domain.py b/graphrag/graphrag/prompt_tune/generator/domain.py
new file mode 100644
index 0000000000000000000000000000000000000000..49c698d1b431abedfc5ed7bc618bd560be5fe781
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/generator/domain.py
@@ -0,0 +1,27 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Domain generation for GraphRAG prompts."""
+
+from graphrag.llm.types.llm_types import CompletionLLM
+from graphrag.prompt_tune.prompt.domain import GENERATE_DOMAIN_PROMPT
+
+
+async def generate_domain(llm: CompletionLLM, docs: str | list[str]) -> str:
+    """Generate an LLM persona to use for GraphRAG prompts.
+
+    Parameters
+    ----------
+    - llm (CompletionLLM): The LLM to use for generation
+    - docs (str | list[str]): The domain to generate a persona for
+
+    Returns
+    -------
+    - str: The generated domain prompt response.
+    """
+    docs_str = " ".join(docs) if isinstance(docs, list) else docs
+    domain_prompt = GENERATE_DOMAIN_PROMPT.format(input_text=docs_str)
+
+    response = await llm(domain_prompt)
+
+    return str(response.output)
diff --git a/graphrag/graphrag/prompt_tune/generator/entity_extraction_prompt.py b/graphrag/graphrag/prompt_tune/generator/entity_extraction_prompt.py
new file mode 100644
index 0000000000000000000000000000000000000000..faac8da0576bb28bfa8e10993abb91b6aab98c46
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/generator/entity_extraction_prompt.py
@@ -0,0 +1,105 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Entity Extraction prompt generator module."""
+
+from pathlib import Path
+
+import graphrag.config.defaults as defs
+from graphrag.index.utils.tokens import num_tokens_from_string
+from graphrag.prompt_tune.template import (
+    EXAMPLE_EXTRACTION_TEMPLATE,
+    GRAPH_EXTRACTION_JSON_PROMPT,
+    GRAPH_EXTRACTION_PROMPT,
+    UNTYPED_EXAMPLE_EXTRACTION_TEMPLATE,
+    UNTYPED_GRAPH_EXTRACTION_PROMPT,
+)
+
+ENTITY_EXTRACTION_FILENAME = "entity_extraction.txt"
+
+
+def create_entity_extraction_prompt(
+    entity_types: str | list[str] | None,
+    docs: list[str],
+    examples: list[str],
+    language: str,
+    max_token_count: int,
+    encoding_model: str = defs.ENCODING_MODEL,
+    json_mode: bool = False,
+    output_path: Path | None = None,
+) -> str:
+    """
+    Create a prompt for entity extraction.
+
+    Parameters
+    ----------
+    - entity_types (str | list[str]): The entity types to extract
+    - docs (list[str]): The list of documents to extract entities from
+    - examples (list[str]): The list of examples to use for entity extraction
+    - language (str): The language of the inputs and outputs
+    - encoding_model (str): The name of the model to use for token counting
+    - max_token_count (int): The maximum number of tokens to use for the prompt
+    - json_mode (bool): Whether to use JSON mode for the prompt. Default is False
+    - output_path (Path | None): The path to write the prompt to. Default is None. If None, the prompt is not written to a file. Default is None.
+
+    Returns
+    -------
+    - str: The entity extraction prompt
+    """
+    prompt = (
+        (GRAPH_EXTRACTION_JSON_PROMPT if json_mode else GRAPH_EXTRACTION_PROMPT)
+        if entity_types
+        else UNTYPED_GRAPH_EXTRACTION_PROMPT
+    )
+    if isinstance(entity_types, list):
+        entity_types = ", ".join(entity_types)
+
+    tokens_left = (
+        max_token_count
+        - num_tokens_from_string(prompt, model=encoding_model)
+        - num_tokens_from_string(entity_types, model=encoding_model)
+        if entity_types
+        else 0
+    )
+
+    examples_prompt = ""
+
+    # Iterate over examples, while we have tokens left or examples left
+    for i, output in enumerate(examples):
+        input = docs[i]
+        example_formatted = (
+            EXAMPLE_EXTRACTION_TEMPLATE.format(
+                n=i + 1, input_text=input, entity_types=entity_types, output=output
+            )
+            if entity_types
+            else UNTYPED_EXAMPLE_EXTRACTION_TEMPLATE.format(
+                n=i + 1, input_text=input, output=output
+            )
+        )
+
+        example_tokens = num_tokens_from_string(example_formatted, model=encoding_model)
+
+        # Squeeze in at least one example
+        if i > 0 and example_tokens > tokens_left:
+            break
+
+        examples_prompt += example_formatted
+        tokens_left -= example_tokens
+
+    prompt = (
+        prompt.format(
+            entity_types=entity_types, examples=examples_prompt, language=language
+        )
+        if entity_types
+        else prompt.format(examples=examples_prompt, language=language)
+    )
+
+    if output_path:
+        output_path.mkdir(parents=True, exist_ok=True)
+
+        output_path = output_path / ENTITY_EXTRACTION_FILENAME
+        # Write file to output path
+        with output_path.open("w") as file:
+            file.write(prompt)
+
+    return prompt
diff --git a/graphrag/graphrag/prompt_tune/generator/entity_relationship.py b/graphrag/graphrag/prompt_tune/generator/entity_relationship.py
new file mode 100644
index 0000000000000000000000000000000000000000..72ecb5f4daf3d0939516a3f719d1a0092d2ec040
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/generator/entity_relationship.py
@@ -0,0 +1,65 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Entity relationship example generation module."""
+
+import asyncio
+import json
+
+from graphrag.llm.types.llm_types import CompletionLLM
+from graphrag.prompt_tune.prompt import (
+    ENTITY_RELATIONSHIPS_GENERATION_JSON_PROMPT,
+    ENTITY_RELATIONSHIPS_GENERATION_PROMPT,
+    UNTYPED_ENTITY_RELATIONSHIPS_GENERATION_PROMPT,
+)
+
+MAX_EXAMPLES = 5
+
+
+async def generate_entity_relationship_examples(
+    llm: CompletionLLM,
+    persona: str,
+    entity_types: str | list[str] | None,
+    docs: str | list[str],
+    language: str,
+    json_mode: bool = False,
+) -> list[str]:
+    """Generate a list of entity/relationships examples for use in generating an entity configuration.
+
+    Will return entity/relationships examples as either JSON or in tuple_delimiter format depending
+    on the json_mode parameter.
+    """
+    docs_list = [docs] if isinstance(docs, str) else docs
+    history = [{"role": "system", "content": persona}]
+
+    if entity_types:
+        entity_types_str = (
+            entity_types if isinstance(entity_types, str) else ", ".join(entity_types)
+        )
+
+        messages = [
+            (
+                ENTITY_RELATIONSHIPS_GENERATION_JSON_PROMPT
+                if json_mode
+                else ENTITY_RELATIONSHIPS_GENERATION_PROMPT
+            ).format(entity_types=entity_types_str, input_text=doc, language=language)
+            for doc in docs_list
+        ]
+    else:
+        messages = [
+            UNTYPED_ENTITY_RELATIONSHIPS_GENERATION_PROMPT.format(
+                input_text=doc, language=language
+            )
+            for doc in docs_list
+        ]
+
+    messages = messages[:MAX_EXAMPLES]
+
+    tasks = [llm(message, history=history, json=json_mode) for message in messages]
+
+    responses = await asyncio.gather(*tasks)
+
+    return [
+        json.dumps(response.json or "") if json_mode else str(response.output)
+        for response in responses
+    ]
diff --git a/graphrag/graphrag/prompt_tune/generator/entity_summarization_prompt.py b/graphrag/graphrag/prompt_tune/generator/entity_summarization_prompt.py
new file mode 100644
index 0000000000000000000000000000000000000000..c6ee786338872576f3d78a910b0439a73243305e
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/generator/entity_summarization_prompt.py
@@ -0,0 +1,36 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Entity summarization prompt generation module."""
+
+from pathlib import Path
+
+from graphrag.prompt_tune.template import ENTITY_SUMMARIZATION_PROMPT
+
+ENTITY_SUMMARIZATION_FILENAME = "summarize_descriptions.txt"
+
+
+def create_entity_summarization_prompt(
+    persona: str,
+    language: str,
+    output_path: Path | None = None,
+) -> str:
+    """Create a prompt for entity summarization. If output_path is provided, write the prompt to a file.
+
+    Parameters
+    ----------
+    - persona (str): The persona to use for the entity summarization prompt
+    - language (str): The language to use for the entity summarization prompt
+    - output_path (Path | None): The path to write the prompt to. Default is None. If None, the prompt is not written to a file. Default is None.
+    """
+    prompt = ENTITY_SUMMARIZATION_PROMPT.format(persona=persona, language=language)
+
+    if output_path:
+        output_path.mkdir(parents=True, exist_ok=True)
+
+        output_path = output_path / ENTITY_SUMMARIZATION_FILENAME
+        # Write file to output path
+        with output_path.open("w") as file:
+            file.write(prompt)
+
+    return prompt
diff --git a/graphrag/graphrag/prompt_tune/generator/entity_types.py b/graphrag/graphrag/prompt_tune/generator/entity_types.py
new file mode 100644
index 0000000000000000000000000000000000000000..42518acd8cfa1283fcdc6e86d92847e8b5e60909
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/generator/entity_types.py
@@ -0,0 +1,45 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Entity type generation module for fine-tuning."""
+
+from graphrag.llm.types.llm_types import CompletionLLM
+from graphrag.prompt_tune.generator.defaults import DEFAULT_TASK
+from graphrag.prompt_tune.prompt.entity_types import (
+    ENTITY_TYPE_GENERATION_JSON_PROMPT,
+    ENTITY_TYPE_GENERATION_PROMPT,
+)
+
+
+async def generate_entity_types(
+    llm: CompletionLLM,
+    domain: str,
+    persona: str,
+    docs: str | list[str],
+    task: str = DEFAULT_TASK,
+    json_mode: bool = False,
+) -> str | list[str]:
+    """
+    Generate entity type categories from a given set of (small) documents.
+
+    Example Output:
+    "entity_types": ['military unit', 'organization', 'person', 'location', 'event', 'date', 'equipment']
+    """
+    formatted_task = task.format(domain=domain)
+
+    docs_str = "\n".join(docs) if isinstance(docs, list) else docs
+
+    entity_types_prompt = (
+        ENTITY_TYPE_GENERATION_JSON_PROMPT
+        if json_mode
+        else ENTITY_TYPE_GENERATION_PROMPT
+    ).format(task=formatted_task, input_text=docs_str)
+
+    history = [{"role": "system", "content": persona}]
+
+    response = await llm(entity_types_prompt, history=history, json=json_mode)
+
+    if json_mode:
+        return (response.json or {}).get("entity_types", [])
+
+    return str(response.output)
diff --git a/graphrag/graphrag/prompt_tune/generator/language.py b/graphrag/graphrag/prompt_tune/generator/language.py
new file mode 100644
index 0000000000000000000000000000000000000000..38de531ca362014f4e8e31dfea50521a47d0e443
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/generator/language.py
@@ -0,0 +1,27 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Language detection for GraphRAG prompts."""
+
+from graphrag.llm.types.llm_types import CompletionLLM
+from graphrag.prompt_tune.prompt import DETECT_LANGUAGE_PROMPT
+
+
+async def detect_language(llm: CompletionLLM, docs: str | list[str]) -> str:
+    """Detect input language to use for GraphRAG prompts.
+
+    Parameters
+    ----------
+    - llm (CompletionLLM): The LLM to use for generation
+    - docs (str | list[str]): The docs to detect language from
+
+    Returns
+    -------
+    - str: The detected language.
+    """
+    docs_str = " ".join(docs) if isinstance(docs, list) else docs
+    language_prompt = DETECT_LANGUAGE_PROMPT.format(input_text=docs_str)
+
+    response = await llm(language_prompt)
+
+    return str(response.output)
diff --git a/graphrag/graphrag/prompt_tune/generator/persona.py b/graphrag/graphrag/prompt_tune/generator/persona.py
new file mode 100644
index 0000000000000000000000000000000000000000..cdd57a655d9af2c69f86887293d119403c9b154e
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/generator/persona.py
@@ -0,0 +1,27 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Persona generating module for fine-tuning GraphRAG prompts."""
+
+from graphrag.llm.types.llm_types import CompletionLLM
+from graphrag.prompt_tune.generator.defaults import DEFAULT_TASK
+from graphrag.prompt_tune.prompt import GENERATE_PERSONA_PROMPT
+
+
+async def generate_persona(
+    llm: CompletionLLM, domain: str, task: str = DEFAULT_TASK
+) -> str:
+    """Generate an LLM persona to use for GraphRAG prompts.
+
+    Parameters
+    ----------
+    - llm (CompletionLLM): The LLM to use for generation
+    - domain (str): The domain to generate a persona for
+    - task (str): The task to generate a persona for. Default is DEFAULT_TASK
+    """
+    formatted_task = task.format(domain=domain)
+    persona_prompt = GENERATE_PERSONA_PROMPT.format(sample_task=formatted_task)
+
+    response = await llm(persona_prompt)
+
+    return str(response.output)
diff --git a/graphrag/graphrag/prompt_tune/loader/__init__.py b/graphrag/graphrag/prompt_tune/loader/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..94e64cbe87677542673d9d61f1f49db7c61f64be
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/loader/__init__.py
@@ -0,0 +1,14 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Fine-tuning config and data loader module."""
+
+from .config import read_config_parameters
+from .input import MIN_CHUNK_OVERLAP, MIN_CHUNK_SIZE, load_docs_in_chunks
+
+__all__ = [
+    "MIN_CHUNK_OVERLAP",
+    "MIN_CHUNK_SIZE",
+    "load_docs_in_chunks",
+    "read_config_parameters",
+]
diff --git a/graphrag/graphrag/prompt_tune/loader/config.py b/graphrag/graphrag/prompt_tune/loader/config.py
new file mode 100644
index 0000000000000000000000000000000000000000..db451156cab7867a0d5ca9fb40ba37620ef0ced1
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/loader/config.py
@@ -0,0 +1,43 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Config loading, parsing and handling module."""
+
+from pathlib import Path
+
+from graphrag.config import create_graphrag_config
+from graphrag.index.progress.types import ProgressReporter
+
+
+def read_config_parameters(root: str, reporter: ProgressReporter):
+    """Read the configuration parameters from the settings file or environment variables.
+
+    Parameters
+    ----------
+    - root: The root directory where the parameters are.
+    - reporter: The progress reporter.
+    """
+    _root = Path(root)
+    settings_yaml = _root / "settings.yaml"
+    if not settings_yaml.exists():
+        settings_yaml = _root / "settings.yml"
+    settings_json = _root / "settings.json"
+
+    if settings_yaml.exists():
+        reporter.info(f"Reading settings from {settings_yaml}")
+        with settings_yaml.open("r") as file:
+            import yaml
+
+            data = yaml.safe_load(file)
+            return create_graphrag_config(data, root)
+
+    if settings_json.exists():
+        reporter.info(f"Reading settings from {settings_json}")
+        with settings_json.open("r") as file:
+            import json
+
+            data = json.loads(file.read())
+            return create_graphrag_config(data, root)
+
+    reporter.info("Reading settings from environment variables")
+    return create_graphrag_config(root_dir=root)
diff --git a/graphrag/graphrag/prompt_tune/loader/input.py b/graphrag/graphrag/prompt_tune/loader/input.py
new file mode 100644
index 0000000000000000000000000000000000000000..a8cc7db727b139a781043c5b77881b1d50e1069b
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/loader/input.py
@@ -0,0 +1,62 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Input loading module."""
+
+from typing import cast
+
+import pandas as pd
+from datashaper import NoopVerbCallbacks, TableContainer, VerbInput
+
+from graphrag.config.models.graph_rag_config import GraphRagConfig
+from graphrag.index.input import load_input
+from graphrag.index.progress.types import ProgressReporter
+from graphrag.index.verbs import chunk
+
+MIN_CHUNK_SIZE = 200
+MIN_CHUNK_OVERLAP = 0
+
+
+async def load_docs_in_chunks(
+    root: str,
+    config: GraphRagConfig,
+    select_method: str,
+    limit: int,
+    reporter: ProgressReporter,
+    chunk_size: int = MIN_CHUNK_SIZE,
+) -> list[str]:
+    """Load docs into chunks for generating prompts."""
+    dataset = await load_input(config.input, reporter, root)
+
+    # covert to text units
+    input = VerbInput(input=TableContainer(table=dataset))
+    chunk_strategy = config.chunks.resolved_strategy()
+
+    # Use smaller chunks, to avoid huge prompts
+    chunk_strategy["chunk_size"] = chunk_size
+    chunk_strategy["chunk_overlap"] = MIN_CHUNK_OVERLAP
+
+    dataset_chunks_table_container = chunk(
+        input,
+        column="text",
+        to="chunks",
+        callbacks=NoopVerbCallbacks(),
+        strategy=chunk_strategy,
+    )
+
+    dataset_chunks = cast(pd.DataFrame, dataset_chunks_table_container.table)
+
+    # Select chunks into a new df and explode it
+    chunks_df = pd.DataFrame(dataset_chunks["chunks"].explode())  # type: ignore
+
+    # Depending on the select method, build the dataset
+    if limit <= 0 or limit > len(chunks_df):
+        limit = len(chunks_df)
+
+    if select_method == "top":
+        chunks_df = chunks_df[:limit]
+    elif select_method == "random":
+        chunks_df = chunks_df.sample(n=limit)
+
+    # Convert the dataset to list form, so we have a list of documents
+    return chunks_df["chunks"].tolist()
diff --git a/graphrag/graphrag/prompt_tune/prompt/__init__.py b/graphrag/graphrag/prompt_tune/prompt/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..991d52856ee60881edf0d8a19894ecb0b4eb36ac
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/prompt/__init__.py
@@ -0,0 +1,32 @@
+"""Persona, entity type, relationships and domain generation prompts module."""
+
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+from .community_report_rating import GENERATE_REPORT_RATING_PROMPT
+from .community_reporter_role import GENERATE_COMMUNITY_REPORTER_ROLE_PROMPT
+from .domain import GENERATE_DOMAIN_PROMPT
+from .entity_relationship import (
+    ENTITY_RELATIONSHIPS_GENERATION_JSON_PROMPT,
+    ENTITY_RELATIONSHIPS_GENERATION_PROMPT,
+    UNTYPED_ENTITY_RELATIONSHIPS_GENERATION_PROMPT,
+)
+from .entity_types import (
+    ENTITY_TYPE_GENERATION_JSON_PROMPT,
+    ENTITY_TYPE_GENERATION_PROMPT,
+)
+from .language import DETECT_LANGUAGE_PROMPT
+from .persona import GENERATE_PERSONA_PROMPT
+
+__all__ = [
+    "DETECT_LANGUAGE_PROMPT",
+    "ENTITY_RELATIONSHIPS_GENERATION_JSON_PROMPT",
+    "ENTITY_RELATIONSHIPS_GENERATION_PROMPT",
+    "ENTITY_TYPE_GENERATION_JSON_PROMPT",
+    "ENTITY_TYPE_GENERATION_PROMPT",
+    "GENERATE_COMMUNITY_REPORTER_ROLE_PROMPT",
+    "GENERATE_DOMAIN_PROMPT",
+    "GENERATE_PERSONA_PROMPT",
+    "GENERATE_REPORT_RATING_PROMPT",
+    "UNTYPED_ENTITY_RELATIONSHIPS_GENERATION_PROMPT",
+]
diff --git a/graphrag/graphrag/prompt_tune/prompt/community_report_rating.py b/graphrag/graphrag/prompt_tune/prompt/community_report_rating.py
new file mode 100644
index 0000000000000000000000000000000000000000..b061645b94718d49c1313feec8ffc4b21f1828fc
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/prompt/community_report_rating.py
@@ -0,0 +1,132 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Fine tuning prompts for Community Reports Rating."""
+
+GENERATE_REPORT_RATING_PROMPT = """
+
+You are a helpful agent tasked with rating the importance of a given text in the context of the provided domain and persona. Your goal is to provide a rating that reflects the relevance and significance of the text to the specified domain and persona. Use your expertise to evaluate the text based on the importance criteria and assign a float score between 0-10. Only respond with the text description of the importance criteria. Use the provided example data format to guide your response. Ignore the content of the example data and focus on the structure.
+
+######################
+-Examples-
+######################
+
+### Example 1
+
+# Domain
+
+Personal and Family Communication
+
+# Persona
+
+You are an expert in Social Network Analysis with a focus on the Personal and Family Communication domain. You are skilled at mapping and interpreting complex social networks, understanding the dynamics of interpersonal relationships, and identifying patterns of communication within communities. You are adept at helping people understand the structure and relations within their personal and family networks, providing insights into how information flows, how strong various connections are, and how these networks influence individual and group behavior.
+
+# Data
+
+
+Subject: Re: Event
+From: Alice Brown alice.brown@example.com
+Date: 2012-11-14, 9:52 a.m.
+To: John Smith john.smith@example.com
+CC: Jane Doe jane.doe@example.com, Bob Johnson bob.johnson@example.com, Emma Davis emma.davis@example.com
+
+The event is at 6pm at City Hall (Queen street) event chamber. We
+just need to get there by 5:45pm. It is 30-minute long so we will be
+done by 6:30pm. We'll then head over to New Sky on Spadina for some
+unique cuisine!
+
+Guests are you and Emma, and my uncle and auntie from London
+who my folks have designated to act as their reps. Jane and Joe are
+witnesses.
+
+Be there or be square!
+Alice
+
+On Wed, Nov 14, 2012 at 9:40 AM, John Smith john.smith@example.com wrote:
+
+Thats the day after Bob's event!
+Any more details on the event schedule? ITS NEXT WEEK!
+On Tue, Nov 13, 2012 at 7:51 PM, Jane Doe
+jane.doe@example.com wrote:
+I am supposed to forward you the invitation to this year's celebration.
+Date: Saturday, Nov. 24, 6 pm starting
+Place as usual: Dean's house, 6 Cardish, Kleinburg L0J 1C0
+Jane Doe
+jane.doe@example.com
+
+# Importance Criteria
+
+A float score between 0-10 that represents the relevance of the email's content to family communication, health concerns, travel plans, and interpersonal dynamics, with 1 being trivial or spam and 10 being highly relevant, urgent, and impactful to family cohesion or well-being.
+#############################
+
+### Example 2
+
+# Domain
+
+Literary Analysis
+
+# Persona
+
+You are a literary scholar with a focus on works from the 19th century. You are skilled at analyzing and interpreting texts, identifying themes and motifs, and understanding the historical and cultural contexts in which these works were written. You are adept at helping people understand the deeper meanings and significance of literary works, providing insights into the author's intentions, the social issues addressed in the text, and the impact of these works on contemporary society.
+
+# Data
+
+Had she found Jane in any apparent danger, Mrs. Bennet would have been very miserable; but being satisfied on seeing her that her illness was not alarming, she had no wish of her recovering immediately, as her restoration to health would probably remove her from Netherfield. She would not listen, therefore, to her daughter's proposal of being carried home; neither did the apothecary, who arrived about the same time, think it at all advisable. After sitting a little with Jane, on Miss Bingley's appearance and invitation, the mother and three daughters all attended her into the breakfast parlor. Bingley met them with hopes that Mrs. Bennet had not found Miss Bennet worse than she expected.
+
+"Indeed I have, Sir," was her answer. "She is a great deal too ill to be moved. Mr. Jones says we must not think of moving her. We must trespass a little longer on your kindness."
+
+"Removed!" cried Bingley. "It must not be thought of. My sister, I am sure, will not hear of her removal."
+
+# Importance Criteria
+
+A float score between 0-10 that represents the relevance of the text to literary analysis, historical context, thematic interpretation, and cultural significance, with 1 being trivial or irrelevant and 10 being highly significant, profound, and impactful to the understanding of the text and its implications.
+#############################
+
+### Example 3
+
+# Domain
+
+Environmental Science
+
+# Persona
+
+You are an environmental scientist with a focus on climate change and sustainability. You are skilled at analyzing data, interpreting social commentary and recommending policy changes. You are adept at helping people understand the causes and consequences of climate change, providing insights into how they can reduce their carbon footprint, adopt sustainable practices, and contribute to a healthier planet.
+
+# Data
+
+Host 1 (Anna): Welcome to "Green Living Today," the podcast where we explore practical tips and inspiring stories about sustainable living. I'm your host, Anna Green.
+
+Host 2 (Mark): And I'm Mark Smith. Today, we have a special episode focused on reducing plastic waste in our daily lives. We'll be talking to a special guest who has made significant strides in living a plastic-free lifestyle.
+
+Anna: That's right, Mark. Our guest today is Laura Thompson, the founder of "Plastic-Free Living," a blog dedicated to sharing tips and resources for reducing plastic use. Welcome to the show, Laura!
+
+Guest (Laura): Thanks, Anna and Mark. It's great to be here.
+
+Mark: Laura, let's start by talking about your journey. What inspired you to start living a plastic-free lifestyle?
+
+# Importance Criteria
+
+A float score between 0-10 that represents the relevance of the text to sustainability, plastic waste reduction, and environmental policies, with 1 being trivial or irrelevant and 10 being highly significant, impactful, and actionable in promoting environmental awareness.
+#############################
+
+
+#############################
+-Real Data-
+#############################
+
+# Domain
+
+{domain}
+
+# Persona
+
+{persona}
+
+# Data
+
+{input_text}
+
+# Importance Criteria
+
+
+"""
diff --git a/graphrag/graphrag/prompt_tune/prompt/community_reporter_role.py b/graphrag/graphrag/prompt_tune/prompt/community_reporter_role.py
new file mode 100644
index 0000000000000000000000000000000000000000..b667bc294044b4c920f91ad17170d1154ea666b7
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/prompt/community_reporter_role.py
@@ -0,0 +1,20 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Fine-tuning prompts for community reporter role generation."""
+
+GENERATE_COMMUNITY_REPORTER_ROLE_PROMPT = """
+{persona}
+Given a sample text, help the user by creating a role definition that will be tasked with community analysis.
+Take a look at this example, determine its key parts, and using the domain provided and your expertise, create a new role definition for the provided inputs that follows the same pattern as the example.
+Remember, your output should look just like the provided example in structure and content.
+
+Example:
+A technologist reporter that is analyzing Kevin Scott's "Behind the Tech Podcast", given a list of entities
+that belong to the community as well as their relationships and optional associated claims.
+The report will be used to inform decision-makers about significant developments associated with the community and their potential impact.
+
+
+Domain: {domain}
+Text: {input_text}
+Role:"""
diff --git a/graphrag/graphrag/prompt_tune/prompt/domain.py b/graphrag/graphrag/prompt_tune/prompt/domain.py
new file mode 100644
index 0000000000000000000000000000000000000000..4b4587f8d8d41ab260eda08e53444f4c20c2c0c0
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/prompt/domain.py
@@ -0,0 +1,12 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Fine-tuning prompts for domain generation."""
+
+GENERATE_DOMAIN_PROMPT = """
+You are an intelligent assistant that helps a human to analyze the information in a text document.
+Given a sample text, help the user by assigning a descriptive domain that summarizes what the text is about.
+Example domains are: "Social studies", "Algorithmic analysis", "Medical science", among others.
+
+Text: {input_text}
+Domain:"""
diff --git a/graphrag/graphrag/prompt_tune/prompt/entity_relationship.py b/graphrag/graphrag/prompt_tune/prompt/entity_relationship.py
new file mode 100644
index 0000000000000000000000000000000000000000..af31d090035ad1cc217e4eb552f55dee6c543acf
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/prompt/entity_relationship.py
@@ -0,0 +1,132 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Fine-tuning prompts for entity relationship generation."""
+
+ENTITY_RELATIONSHIPS_GENERATION_PROMPT = """
+-Goal-
+Given a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.
+
+-Steps-
+1. Identify all entities. For each identified entity, extract the following information:
+- entity_name: Name of the entity, capitalized
+- entity_type: One of the following types: [{entity_types}]
+- entity_description: Comprehensive description of the entity's attributes and activities
+Format each entity, include the parenthesis at the beginning and end, as ("entity"{{tuple_delimiter}}<entity_name>{{tuple_delimiter}}<entity_type>{{tuple_delimiter}}<entity_description>)
+for example: ("entity"{{tuple_delimiter}}"Microsoft"{{tuple_delimiter}}"organization"{{tuple_delimiter}}"Microsoft is a technology company")
+
+2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.
+For each pair of related entities, extract the following information:
+- source_entity: name of the source entity, as identified in step 1
+- target_entity: name of the target entity, as identified in step 1
+- relationship_description: explanation as to why you think the source entity and the target entity are related to each other
+- relationship_strength: an integer score between 1 to 10, indicating strength of the relationship between the source entity and target entity
+Format each relationship, include the parenthesis at the beginning and end, as ("relationship"{{tuple_delimiter}}<source_entity>{{tuple_delimiter}}<target_entity>{{tuple_delimiter}}<relationship_description>{{tuple_delimiter}}<relationship_strength>)
+for example: ("relationship"{{tuple_delimiter}}"company A"{{tuple_delimiter}}"person A"{{tuple_delimiter}}"company A is currently owned by person A"{{tuple_delimiter}}8)
+
+3. Return output in {language} as a single list of all the entities and relationships identified in steps 1 and 2. Use **{{record_delimiter}}** as the list delimiter. If you have to translate, just translate the descriptions, nothing else!
+
+4. When finished, output {{completion_delimiter}}.
+
+-Real Data-
+######################
+entity_types: {entity_types}
+text: {input_text}
+######################
+output:
+"""
+
+ENTITY_RELATIONSHIPS_GENERATION_JSON_PROMPT = """
+-Goal-
+Given a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.
+
+-Steps-
+1. Identify all entities. For each identified entity, extract the following information:
+- entity_name: Name of the entity, capitalized
+- entity_type: One of the following types: [{entity_types}]
+- entity_description: Comprehensive description of the entity's attributes and activities
+
+Format each entity output as a JSON entry with the following format:
+
+{{"name": <entity name>, "type": <type>, "description": <entity description>}}
+
+2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.
+For each pair of related entities, extract the following information:
+- source_entity: name of the source entity, as identified in step 1
+- target_entity: name of the target entity, as identified in step 1
+- relationship_description: explanation as to why you think the source entity and the target entity are related to each other
+- relationship_strength: an integer score between 1 to 10, indicating strength of the relationship between the source entity and target entity
+
+Format each relationship as a JSON entry with the following format:
+
+{{"source": <source_entity>, "target": <target_entity>, "relationship": <relationship_description>, "relationship_strength": <relationship_strength>}}
+
+3. Return output in {language} as a single list of all JSON entities and relationships identified in steps 1 and 2. If you have to translate, just translate the descriptions, nothing else!
+
+-Real Data-
+######################
+entity_types: {entity_types}
+text: {input_text}
+######################
+output:
+"""
+
+UNTYPED_ENTITY_RELATIONSHIPS_GENERATION_PROMPT = """
+-Goal-
+Given a text document that is potentially relevant to this activity, first identify all entities needed from the text in order to capture the information and ideas in the text.
+Next, report all relationships among the identified entities.
+
+-Steps-
+1. Identify all entities. For each identified entity, extract the following information:
+- entity_name: Name of the entity, capitalized
+- entity_type: Suggest several labels or categories for the entity. The categories should not be specific, but should be as general as possible.
+- entity_description: Comprehensive description of the entity's attributes and activities
+Format each entity as ("entity"{{tuple_delimiter}}<entity_name>{{tuple_delimiter}}<entity_type>{{tuple_delimiter}}<entity_description>
+
+2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.
+For each pair of related entities, extract the following information:
+- source_entity: name of the source entity, as identified in step 1
+- target_entity: name of the target entity, as identified in step 1
+- relationship_description: explanation as to why you think the source entity and the target entity are related to each other
+- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity
+ Format each relationship as ("relationship"{{tuple_delimiter}}<source_entity>{{tuple_delimiter}}<target_entity>{{tuple_delimiter}}<relationship_description>{{tuple_delimiter}}<relationship_strength>)
+
+3. Return output in {language} as a single list of all the entities and relationships identified in steps 1 and 2. Use **{{record_delimiter}}** as the list delimiter. If you have to translate, just translate the descriptions, nothing else!
+
+4. When finished, output {{completion_delimiter}}
+
+######################
+-Examples-
+######################
+Text:
+The Fed is scheduled to meet on Tuesday and Wednesday, with the central bank planning to release its latest policy decision on Wednesday at 2:00 p.m. ET, followed by a press conference where Fed Chair Jerome Powell will take questions. Investors expect the Federal Open Market Committee to hold its benchmark interest rate steady in a range of 5.25%-5.5%.
+######################
+Output:
+("entity"{{tuple_delimiter}}FED{{tuple_delimiter}}ORGANIZATION{{tuple_delimiter}}The Fed is the Federal Reserve, which is setting interest rates on Tuesday and Wednesday)
+{{record_delimiter}}
+("entity"{{tuple_delimiter}}JEROME POWELL{{tuple_delimiter}}PERSON{{tuple_delimiter}}Jerome Powell is the chair of the Federal Reserve)
+{{record_delimiter}}
+("entity"{{tuple_delimiter}}FEDERAL OPEN MARKET COMMITTEE{{tuple_delimiter}}ORGANIZATION{{tuple_delimiter}}The Federal Reserve committee makes key decisions about interest rates and the growth of the United States money supply)
+{{record_delimiter}}
+("relationship"{{tuple_delimiter}}JEROME POWELL{{tuple_delimiter}}FED{{tuple_delimiter}}Jerome Powell is the Chair of the Federal Reserve and will answer questions at a press conference{{tuple_delimiter}}9)
+{{completion_delimiter}}
+######################
+Text:
+Arm's (ARM) stock skyrocketed in its opening day on the Nasdaq Thursday. But IPO experts warn that the British chipmaker's debut on the public markets isn't indicative of how other newly listed companies may perform.
+
+Arm, a formerly public company, was taken private by SoftBank in 2016. The well-established chip designer says it powers 99% of premium smartphones.
+######################
+Output:
+("entity"{{tuple_delimiter}}ARM{{tuple_delimiter}}ORGANIZATION, COMPANY{{tuple_delimiter}}Arm is a stock now listed on the Nasdaq which powers 99% of premium smartphones)
+{{record_delimiter}}
+("entity"{{tuple_delimiter}}SOFTBANK{{tuple_delimiter}}ORGANIZATION, COMPANY{{tuple_delimiter}}SoftBank is a firm that previously owned Arm)
+{{record_delimiter}}
+("relationship"{{tuple_delimiter}}ARM{{tuple_delimiter}}SOFTBANK{{tuple_delimiter}}SoftBank formerly owned Arm from 2016 until present{{tuple_delimiter}}5)
+{{completion_delimiter}}
+######################
+-Real Data-
+######################
+Text: {input_text}
+######################
+Output:
+"""
diff --git a/graphrag/graphrag/prompt_tune/prompt/entity_types.py b/graphrag/graphrag/prompt_tune/prompt/entity_types.py
new file mode 100644
index 0000000000000000000000000000000000000000..99b21db6450771fe2bf0bd3acb0aa92e389eaeea
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/prompt/entity_types.py
@@ -0,0 +1,89 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Fine-tuning prompts for entity types generation."""
+
+ENTITY_TYPE_GENERATION_PROMPT = """
+The goal is to study the connections and relations between the entity types and their features in order to understand all available information from the text.
+The user's task is to {task}.
+As part of the analysis, you want to identify the entity types present in the following text.
+The entity types must be relevant to the user task.
+Avoid general entity types such as "other" or "unknown".
+This is VERY IMPORTANT: Do not generate redundant or overlapping entity types. For example, if the text contains "company" and "organization" entity types, you should return only one of them.
+Don't worry about quantity, always choose quality over quantity. And make sure EVERYTHING in your answer is relevant to the context of entity extraction.
+And remember, it is ENTITY TYPES what we need.
+Return the entity types in as a list of comma sepparated of strings.
+=====================================================================
+EXAMPLE SECTION: The following section includes example output. These examples **must be excluded from your answer**.
+
+EXAMPLE 1
+Task: Determine the connections and organizational hierarchy within the specified community.
+Text: Example_Org_A is a company in Sweden. Example_Org_A's director is Example_Individual_B.
+RESPONSE:
+organization, person
+END OF EXAMPLE 1
+
+EXAMPLE 2
+Task: Identify the key concepts, principles, and arguments shared among different philosophical schools of thought, and trace the historical or ideological influences they have on each other.
+Text: Rationalism, epitomized by thinkers such as René Descartes, holds that reason is the primary source of knowledge. Key concepts within this school include the emphasis on the deductive method of reasoning.
+RESPONSE:
+concept, person, school of thought
+END OF EXAMPLE 2
+
+EXAMPLE 3
+Task: Identify the full range of basic forces, factors, and trends that would indirectly shape an issue.
+Text: Industry leaders such as Panasonic are vying for supremacy in the battery production sector. They are investing heavily in research and development and are exploring new technologies to gain a competitive edge.
+RESPONSE:
+organization, technology, sectors, investment strategies
+END OF EXAMPLE 3
+======================================================================
+
+======================================================================
+REAL DATA: The following section is the real data. You should use only this real data to prepare your answer. Generate Entity Types only.
+Task: {task}
+Text: {input_text}
+RESPONSE:
+{{<entity_types>}}
+"""
+
+ENTITY_TYPE_GENERATION_JSON_PROMPT = """
+The goal is to study the connections and relations between the entity types and their features in order to understand all available information from the text.
+The user's task is to {task}.
+As part of the analysis, you want to identify the entity types present in the following text.
+The entity types must be relevant to the user task.
+Avoid general entity types such as "other" or "unknown".
+This is VERY IMPORTANT: Do not generate redundant or overlapping entity types. For example, if the text contains "company" and "organization" entity types, you should return only one of them.
+Don't worry about quantity, always choose quality over quantity. And make sure EVERYTHING in your answer is relevant to the context of entity extraction.
+Return the entity types in JSON format with "entities" as the key and the entity types as an array of strings.
+=====================================================================
+EXAMPLE SECTION: The following section includes example output. These examples **must be excluded from your answer**.
+
+EXAMPLE 1
+Task: Determine the connections and organizational hierarchy within the specified community.
+Text: Example_Org_A is a company in Sweden. Example_Org_A's director is Example_Individual_B.
+JSON RESPONSE:
+{{"entity_types": [organization, person] }}
+END OF EXAMPLE 1
+
+EXAMPLE 2
+Task: Identify the key concepts, principles, and arguments shared among different philosophical schools of thought, and trace the historical or ideological influences they have on each other.
+Text: Rationalism, epitomized by thinkers such as René Descartes, holds that reason is the primary source of knowledge. Key concepts within this school include the emphasis on the deductive method of reasoning.
+JSON RESPONSE:
+{{"entity_types": [concept, person, school of thought] }}
+END OF EXAMPLE 2
+
+EXAMPLE 3
+Task: Identify the full range of basic forces, factors, and trends that would indirectly shape an issue.
+Text: Industry leaders such as Panasonic are vying for supremacy in the battery production sector. They are investing heavily in research and development and are exploring new technologies to gain a competitive edge.
+JSON RESPONSE:
+{{"entity_types": [organization, technology, sectors, investment strategies] }}
+END OF EXAMPLE 3
+======================================================================
+
+======================================================================
+REAL DATA: The following section is the real data. You should use only this real data to prepare your answer. Generate Entity Types only.
+Task: {task}
+Text: {input_text}
+JSON response:
+{{"entity_types": [<entity_types>] }}
+"""
diff --git a/graphrag/graphrag/prompt_tune/prompt/language.py b/graphrag/graphrag/prompt_tune/prompt/language.py
new file mode 100644
index 0000000000000000000000000000000000000000..68fd04029f23dac50260a561059ef461f5853778
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/prompt/language.py
@@ -0,0 +1,12 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Fine-tuning prompts for language detection."""
+
+DETECT_LANGUAGE_PROMPT = """
+You are an intelligent assistant that helps a human to analyze the information in a text document.
+Given a sample text, help the user by determining what's the primary language of the provided texts.
+Examples are: "English", "Spanish", "Japanese", "Portuguese" among others.
+
+Text: {input_text}
+Language:"""
diff --git a/graphrag/graphrag/prompt_tune/prompt/persona.py b/graphrag/graphrag/prompt_tune/prompt/persona.py
new file mode 100644
index 0000000000000000000000000000000000000000..58515fd2043838d21c7692513b9ba7597584caac
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/prompt/persona.py
@@ -0,0 +1,13 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Fine-tuning prompts for persona generation."""
+
+GENERATE_PERSONA_PROMPT = """
+You are an intelligent assistant that helps a human to analyze the information in a text document.
+Given a specific type of task and sample text, help the user by generating a 3 to 4 sentence description of an expert who could help solve the problem.
+Use a format similar to the following:
+You are an expert {{role}}. You are skilled at {{relevant skills}}. You are adept at helping people with {{specific task}}.
+
+task: {sample_task}
+persona description:"""
diff --git a/graphrag/graphrag/prompt_tune/template/__init__.py b/graphrag/graphrag/prompt_tune/template/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e056762ff723ee05a01606a342c0e0b3c12bf8a4
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/template/__init__.py
@@ -0,0 +1,24 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Fine-tuning prompts for entity extraction, entity summarization, and community report summarization."""
+
+from .community_report_summarization import COMMUNITY_REPORT_SUMMARIZATION_PROMPT
+from .entity_extraction import (
+    EXAMPLE_EXTRACTION_TEMPLATE,
+    GRAPH_EXTRACTION_JSON_PROMPT,
+    GRAPH_EXTRACTION_PROMPT,
+    UNTYPED_EXAMPLE_EXTRACTION_TEMPLATE,
+    UNTYPED_GRAPH_EXTRACTION_PROMPT,
+)
+from .entity_summarization import ENTITY_SUMMARIZATION_PROMPT
+
+__all__ = [
+    "COMMUNITY_REPORT_SUMMARIZATION_PROMPT",
+    "ENTITY_SUMMARIZATION_PROMPT",
+    "EXAMPLE_EXTRACTION_TEMPLATE",
+    "GRAPH_EXTRACTION_JSON_PROMPT",
+    "GRAPH_EXTRACTION_PROMPT",
+    "UNTYPED_EXAMPLE_EXTRACTION_TEMPLATE",
+    "UNTYPED_GRAPH_EXTRACTION_PROMPT",
+]
diff --git a/graphrag/graphrag/prompt_tune/template/community_report_summarization.py b/graphrag/graphrag/prompt_tune/template/community_report_summarization.py
new file mode 100644
index 0000000000000000000000000000000000000000..14e039ba41bb60a3a349396551e6981af64c0e18
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/template/community_report_summarization.py
@@ -0,0 +1,95 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Fine-tuning prompts for community report summarization."""
+
+COMMUNITY_REPORT_SUMMARIZATION_PROMPT = """
+{persona}
+
+# Goal
+Write a comprehensive assessment report of a community taking on the role of a {role}. The content of this report includes an overview of the community's key entities and relationships.
+
+# Report Structure
+The report should include the following sections:
+- TITLE: community's name that represents its key entities - title should be short but specific. When possible, include representative named entities in the title.
+- SUMMARY: An executive summary of the community's overall structure, how its entities are related to each other, and significant points associated with its entities.
+- REPORT RATING: {report_rating_description}
+- RATING EXPLANATION: Give a single sentence explanation of the rating.
+- DETAILED FINDINGS: A list of 5-10 key insights about the community. Each insight should have a short summary followed by multiple paragraphs of explanatory text grounded according to the grounding rules below. Be comprehensive.
+
+Return output as a well-formed JSON-formatted string with the following format. Don't use any unnecessary escape sequences. The output should be a single JSON object that can be parsed by json.loads.
+    {{
+        "title": "<report_title>",
+        "summary": "<executive_summary>",
+        "rating": <threat_severity_rating>,
+        "rating_explanation": "<rating_explanation>"
+        "findings": "[{{"summary":"<insight_1_summary>", "explanation": "<insight_1_explanation"}}, {{"summary":"<insight_2_summary>", "explanation": "<insight_2_explanation"}}]"
+    }}
+
+# Grounding Rules
+After each paragraph, add data record reference if the content of the paragraph was derived from one or more data records. Reference is in the format of [records: <record_source> (<record_id_list>, ...<record_source> (<record_id_list>)]. If there are more than 10 data records, show the top 10 most relevant records.
+Each paragraph should contain multiple sentences of explanation and concrete examples with specific named entities. All paragraphs must have these references at the start and end. Use "NONE" if there are no related roles or records. Everything should be in {language}.
+
+Example paragraph with references added:
+This is a paragraph of the output text [records: Entities (1, 2, 3), Claims (2, 5), Relationships (10, 12)]
+
+# Example Input
+-----------
+Text:
+
+Entities
+
+id,entity,description
+5,ABILA CITY PARK,Abila City Park is the location of the POK rally
+
+Relationships
+
+id,source,target,description
+37,ABILA CITY PARK,POK RALLY,Abila City Park is the location of the POK rally
+38,ABILA CITY PARK,POK,POK is holding a rally in Abila City Park
+39,ABILA CITY PARK,POKRALLY,The POKRally is taking place at Abila City Park
+40,ABILA CITY PARK,CENTRAL BULLETIN,Central Bulletin is reporting on the POK rally taking place in Abila City Park
+
+Output:
+{{
+    "title": "Abila City Park and POK Rally",
+    "summary": "The community revolves around the Abila City Park, which is the location of the POK rally. The park has relationships with POK, POKRALLY, and Central Bulletin, all
+of which are associated with the rally event.",
+    "rating": 5.0,
+    "rating_explanation": "The impact rating is moderate due to the potential for unrest or conflict during the POK rally.",
+    "findings": [
+        {{
+            "summary": "Abila City Park as the central location",
+            "explanation": "Abila City Park is the central entity in this community, serving as the location for the POK rally. This park is the common link between all other
+entities, suggesting its significance in the community. The park's association with the rally could potentially lead to issues such as public disorder or conflict, depending on the
+nature of the rally and the reactions it provokes. [records: Entities (5), Relationships (37, 38, 39, 40)]"
+        }},
+        {{
+            "summary": "POK's role in the community",
+            "explanation": "POK is another key entity in this community, being the organizer of the rally at Abila City Park. The nature of POK and its rally could be a potential
+source of threat, depending on their objectives and the reactions they provoke. The relationship between POK and the park is crucial in understanding the dynamics of this community.
+[records: Relationships (38)]"
+        }},
+        {{
+            "summary": "POKRALLY as a significant event",
+            "explanation": "The POKRALLY is a significant event taking place at Abila City Park. This event is a key factor in the community's dynamics and could be a potential
+source of threat, depending on the nature of the rally and the reactions it provokes. The relationship between the rally and the park is crucial in understanding the dynamics of this
+community. [records: Relationships (39)]"
+        }},
+        {{
+            "summary": "Role of Central Bulletin",
+            "explanation": "Central Bulletin is reporting on the POK rally taking place in Abila City Park. This suggests that the event has attracted media attention, which could
+amplify its impact on the community. The role of Central Bulletin could be significant in shaping public perception of the event and the entities involved. [records: Relationships
+(40)]"
+        }}
+    ]
+
+}}
+
+# Real Data
+
+Use the following text for your answer. Do not make anything up in your answer.
+
+Text:
+{{input_text}}
+Output:"""
diff --git a/graphrag/graphrag/prompt_tune/template/entity_extraction.py b/graphrag/graphrag/prompt_tune/template/entity_extraction.py
new file mode 100644
index 0000000000000000000000000000000000000000..65c0cfb584a893ec5bbbd0188aa4c695a6f0f1b8
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/template/entity_extraction.py
@@ -0,0 +1,136 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Fine-tuning prompts for entity extraction."""
+
+GRAPH_EXTRACTION_PROMPT = """
+-Goal-
+Given a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.
+
+-Steps-
+1. Identify all entities. For each identified entity, extract the following information:
+- entity_name: Name of the entity, capitalized
+- entity_type: One of the following types: [{entity_types}]
+- entity_description: Comprehensive description of the entity's attributes and activities
+Format each entity as ("entity"{{tuple_delimiter}}<entity_name>{{tuple_delimiter}}<entity_type>{{tuple_delimiter}}<entity_description>
+
+2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.
+For each pair of related entities, extract the following information:
+- source_entity: name of the source entity, as identified in step 1
+- target_entity: name of the target entity, as identified in step 1
+- relationship_description: explanation as to why you think the source entity and the target entity are related to each other
+- relationship_strength: an integer score between 1 to 10, indicating strength of the relationship between the source entity and target entity
+
+Format each relationship as ("relationship"{{tuple_delimiter}}<source_entity>{{tuple_delimiter}}<target_entity>{{tuple_delimiter}}<relationship_description>{{tuple_delimiter}}<relationship_strength>)
+
+3. Return output in {language} as a single list of all the entities and relationships identified in steps 1 and 2. Use **{{record_delimiter}}** as the list delimiter. If you have to translate, just translate the descriptions, nothing else!
+
+4. When finished, output {{completion_delimiter}}
+
+-Examples-
+######################
+{examples}
+
+-Real Data-
+######################
+entity_types: [{entity_types}]
+text: {{input_text}}
+######################
+output:"""
+
+GRAPH_EXTRACTION_JSON_PROMPT = """
+-Goal-
+Given a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.
+
+-Steps-
+1. Identify all entities. For each identified entity, extract the following information:
+- entity_name: Name of the entity, capitalized
+- entity_type: One of the following types: [{entity_types}]
+- entity_description: Comprehensive description of the entity's attributes and activities
+Format each entity output as a JSON entry with the following format:
+
+{{"name": <entity name>, "type": <type>, "description": <entity description>}}
+
+2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.
+For each pair of related entities, extract the following information:
+- source_entity: name of the source entity, as identified in step 1
+- target_entity: name of the target entity, as identified in step 1
+- relationship_description: explanation as to why you think the source entity and the target entity are related to each other
+- relationship_strength: an integer score between 1 to 10, indicating strength of the relationship between the source entity and target entity
+Format each relationship as a JSON entry with the following format:
+
+{{"source": <source_entity>, "target": <target_entity>, "relationship": <relationship_description>, "relationship_strength": <relationship_strength>}}
+
+3. Return output in {language} as a single list of all JSON entities and relationships identified in steps 1 and 2. If you have to translate, just translate the descriptions, nothing else!
+
+-Examples-
+######################
+{examples}
+
+-Real Data-
+######################
+entity_types: {entity_types}
+text: {{input_text}}
+######################
+output:"""
+
+EXAMPLE_EXTRACTION_TEMPLATE = """
+Example {n}:
+
+entity_types: [{entity_types}]
+text:
+{input_text}
+------------------------
+output:
+{output}
+#############################
+
+"""
+
+UNTYPED_EXAMPLE_EXTRACTION_TEMPLATE = """
+Example {n}:
+
+text:
+{input_text}
+------------------------
+output:
+{output}
+#############################
+
+"""
+
+
+UNTYPED_GRAPH_EXTRACTION_PROMPT = """
+-Goal-
+Given a text document that is potentially relevant to this activity, first identify all entities needed from the text in order to capture the information and ideas in the text.
+Next, report all relationships among the identified entities.
+
+-Steps-
+1. Identify all entities. For each identified entity, extract the following information:
+- entity_name: Name of the entity, capitalized
+- entity_type: Suggest several labels or categories for the entity. The categories should not be specific, but should be as general as possible.
+- entity_description: Comprehensive description of the entity's attributes and activities
+Format each entity as ("entity"{{tuple_delimiter}}<entity_name>{{tuple_delimiter}}<entity_type>{{tuple_delimiter}}<entity_description>
+
+2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.
+For each pair of related entities, extract the following information:
+- source_entity: name of the source entity, as identified in step 1
+- target_entity: name of the target entity, as identified in step 1
+- relationship_description: explanation as to why you think the source entity and the target entity are related to each other
+- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity
+ Format each relationship as ("relationship"{{tuple_delimiter}}<source_entity>{{tuple_delimiter}}<target_entity>{{tuple_delimiter}}<relationship_description>{{tuple_delimiter}}<relationship_strength>)
+
+3. Return output in {language} as a single list of all the entities and relationships identified in steps 1 and 2. Use **{{record_delimiter}}** as the list delimiter. If you have to translate, just translate the descriptions, nothing else!
+
+4. When finished, output {{completion_delimiter}}
+
+-Examples-
+######################
+{examples}
+
+-Real Data-
+######################
+text: {{input_text}}
+######################
+output:
+"""
diff --git a/graphrag/graphrag/prompt_tune/template/entity_summarization.py b/graphrag/graphrag/prompt_tune/template/entity_summarization.py
new file mode 100644
index 0000000000000000000000000000000000000000..60294a291b8e3e5005d3d322c3e1b05d09899561
--- /dev/null
+++ b/graphrag/graphrag/prompt_tune/template/entity_summarization.py
@@ -0,0 +1,22 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Fine-tuning prompts for entity summarization."""
+
+ENTITY_SUMMARIZATION_PROMPT = """
+{persona}
+Using your expertise, you're asked to generate a comprehensive summary of the data provided below.
+Given one or two entities, and a list of descriptions, all related to the same entity or group of entities.
+Please concatenate all of these into a single, concise description in {language}. Make sure to include information collected from all the descriptions.
+If the provided descriptions are contradictory, please resolve the contradictions and provide a single, coherent summary.
+Make sure it is written in third person, and include the entity names so we the have full context.
+
+Enrich it as much as you can with relevant information from the nearby text, this is very important.
+
+If no answer is possible, or the description is empty, only convey information that is provided within the text.
+#######
+-Data-
+Entities: {{entity_name}}
+Description List: {{description_list}}
+#######
+Output:"""
diff --git a/graphrag/graphrag/query/__init__.py b/graphrag/graphrag/query/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..58a557f8a2fcff92f4968a48b53bdd55d5cb956a
--- /dev/null
+++ b/graphrag/graphrag/query/__init__.py
@@ -0,0 +1,4 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""GraphRAG Orchestration Module."""
diff --git a/graphrag/graphrag/query/__main__.py b/graphrag/graphrag/query/__main__.py
new file mode 100644
index 0000000000000000000000000000000000000000..9367f9a9cf7d05456e4365468bec02efb24c9f9e
--- /dev/null
+++ b/graphrag/graphrag/query/__main__.py
@@ -0,0 +1,92 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The Query Engine package root."""
+
+import argparse
+from enum import Enum
+
+from .cli import run_global_search, run_local_search
+
+INVALID_METHOD_ERROR = "Invalid method"
+
+
+class SearchType(Enum):
+    """The type of search to run."""
+
+    LOCAL = "local"
+    GLOBAL = "global"
+
+    def __str__(self):
+        """Return the string representation of the enum value."""
+        return self.value
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+
+    parser.add_argument(
+        "--data",
+        help="The path with the output data from the pipeline",
+        required=False,
+        type=str,
+    )
+
+    parser.add_argument(
+        "--root",
+        help="The data project root. Default value: the current directory",
+        required=False,
+        default=".",
+        type=str,
+    )
+
+    parser.add_argument(
+        "--method",
+        help="The method to run, one of: local or global",
+        required=True,
+        type=SearchType,
+        choices=list(SearchType),
+    )
+
+    parser.add_argument(
+        "--community_level",
+        help="Community level in the Leiden community hierarchy from which we will load the community reports higher value means we use reports on smaller communities",
+        type=int,
+        default=2,
+    )
+
+    parser.add_argument(
+        "--response_type",
+        help="Free form text describing the response type and format, can be anything, e.g. Multiple Paragraphs, Single Paragraph, Single Sentence, List of 3-7 Points, Single Page, Multi-Page Report",
+        type=str,
+        default="Multiple Paragraphs",
+    )
+
+    parser.add_argument(
+        "query",
+        nargs=1,
+        help="The query to run",
+        type=str,
+    )
+
+    args = parser.parse_args()
+
+    match args.method:
+        case SearchType.LOCAL:
+            run_local_search(
+                args.data,
+                args.root,
+                args.community_level,
+                args.response_type,
+                args.query[0],
+            )
+        case SearchType.GLOBAL:
+            run_global_search(
+                args.data,
+                args.root,
+                args.community_level,
+                args.response_type,
+                args.query[0],
+            )
+        case _:
+            raise ValueError(INVALID_METHOD_ERROR)
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diff --git a/graphrag/graphrag/query/cli.py b/graphrag/graphrag/query/cli.py
new file mode 100644
index 0000000000000000000000000000000000000000..aef7c2965bd4d1c4f5b3e4f58ab482b05ef6ad03
--- /dev/null
+++ b/graphrag/graphrag/query/cli.py
@@ -0,0 +1,212 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Command line interface for the query module."""
+
+import os
+from pathlib import Path
+from typing import cast
+
+import pandas as pd
+
+from graphrag.config import (
+    GraphRagConfig,
+    create_graphrag_config,
+)
+from graphrag.index.progress import PrintProgressReporter
+from graphrag.query.input.loaders.dfs import (
+    store_entity_semantic_embeddings,
+)
+from graphrag.vector_stores import VectorStoreFactory, VectorStoreType
+
+from .factories import get_global_search_engine, get_local_search_engine
+from .indexer_adapters import (
+    read_indexer_covariates,
+    read_indexer_entities,
+    read_indexer_relationships,
+    read_indexer_reports,
+    read_indexer_text_units,
+)
+
+reporter = PrintProgressReporter("")
+
+
+def __get_embedding_description_store(
+    vector_store_type: str = VectorStoreType.LanceDB, config_args: dict | None = None
+):
+    """Get the embedding description store."""
+    if not config_args:
+        config_args = {}
+
+    config_args.update({
+        "collection_name": config_args.get(
+            "query_collection_name",
+            config_args.get("collection_name", "description_embedding"),
+        ),
+    })
+
+    description_embedding_store = VectorStoreFactory.get_vector_store(
+        vector_store_type=vector_store_type, kwargs=config_args
+    )
+
+    description_embedding_store.connect(**config_args)
+    return description_embedding_store
+
+
+def run_global_search(
+    data_dir: str | None,
+    root_dir: str | None,
+    community_level: int,
+    response_type: str,
+    query: str,
+):
+    """Run a global search with the given query."""
+    data_dir, root_dir, config = _configure_paths_and_settings(data_dir, root_dir)
+    data_path = Path(data_dir)
+
+    final_nodes: pd.DataFrame = pd.read_parquet(
+        data_path / "create_final_nodes.parquet"
+    )
+    final_entities: pd.DataFrame = pd.read_parquet(
+        data_path / "create_final_entities.parquet"
+    )
+    final_community_reports: pd.DataFrame = pd.read_parquet(
+        data_path / "create_final_community_reports.parquet"
+    )
+
+    reports = read_indexer_reports(
+        final_community_reports, final_nodes, community_level
+    )
+    entities = read_indexer_entities(final_nodes, final_entities, community_level)
+    search_engine = get_global_search_engine(
+        config,
+        reports=reports,
+        entities=entities,
+        response_type=response_type,
+    )
+
+    result = search_engine.search(query=query)
+
+    reporter.success(f"Global Search Response: {result.response}")
+    return result.response
+
+
+def run_local_search(
+    data_dir: str | None,
+    root_dir: str | None,
+    community_level: int,
+    response_type: str,
+    query: str,
+):
+    """Run a local search with the given query."""
+    data_dir, root_dir, config = _configure_paths_and_settings(data_dir, root_dir)
+    data_path = Path(data_dir)
+
+    final_nodes = pd.read_parquet(data_path / "create_final_nodes.parquet")
+    final_community_reports = pd.read_parquet(
+        data_path / "create_final_community_reports.parquet"
+    )
+    final_text_units = pd.read_parquet(data_path / "create_final_text_units.parquet")
+    final_relationships = pd.read_parquet(
+        data_path / "create_final_relationships.parquet"
+    )
+    final_nodes = pd.read_parquet(data_path / "create_final_nodes.parquet")
+    final_entities = pd.read_parquet(data_path / "create_final_entities.parquet")
+    final_covariates_path = data_path / "create_final_covariates.parquet"
+    final_covariates = (
+        pd.read_parquet(final_covariates_path)
+        if final_covariates_path.exists()
+        else None
+    )
+
+    vector_store_args = (
+        config.embeddings.vector_store if config.embeddings.vector_store else {}
+    )
+    vector_store_type = vector_store_args.get("type", VectorStoreType.LanceDB)
+
+    description_embedding_store = __get_embedding_description_store(
+        vector_store_type=vector_store_type,
+        config_args=vector_store_args,
+    )
+    entities = read_indexer_entities(final_nodes, final_entities, community_level)
+    store_entity_semantic_embeddings(
+        entities=entities, vectorstore=description_embedding_store
+    )
+    covariates = (
+        read_indexer_covariates(final_covariates)
+        if final_covariates is not None
+        else []
+    )
+
+    search_engine = get_local_search_engine(
+        config,
+        reports=read_indexer_reports(
+            final_community_reports, final_nodes, community_level
+        ),
+        text_units=read_indexer_text_units(final_text_units),
+        entities=entities,
+        relationships=read_indexer_relationships(final_relationships),
+        covariates={"claims": covariates},
+        description_embedding_store=description_embedding_store,
+        response_type=response_type,
+    )
+
+    result = search_engine.search(query=query)
+    reporter.success(f"Local Search Response: {result.response}")
+    return result.response
+
+
+def _configure_paths_and_settings(
+    data_dir: str | None, root_dir: str | None
+) -> tuple[str, str | None, GraphRagConfig]:
+    if data_dir is None and root_dir is None:
+        msg = "Either data_dir or root_dir must be provided."
+        raise ValueError(msg)
+    if data_dir is None:
+        data_dir = _infer_data_dir(cast(str, root_dir))
+    config = _create_graphrag_config(root_dir, data_dir)
+    return data_dir, root_dir, config
+
+
+def _infer_data_dir(root: str) -> str:
+    output = Path(root) / "output"
+    # use the latest data-run folder
+    if output.exists():
+        folders = sorted(output.iterdir(), key=os.path.getmtime, reverse=True)
+        if len(folders) > 0:
+            folder = folders[0]
+            return str((folder / "artifacts").absolute())
+    msg = f"Could not infer data directory from root={root}"
+    raise ValueError(msg)
+
+
+def _create_graphrag_config(root: str | None, data_dir: str | None) -> GraphRagConfig:
+    """Create a GraphRag configuration."""
+    return _read_config_parameters(cast(str, root or data_dir))
+
+
+def _read_config_parameters(root: str):
+    _root = Path(root)
+    settings_yaml = _root / "settings.yaml"
+    if not settings_yaml.exists():
+        settings_yaml = _root / "settings.yml"
+    settings_json = _root / "settings.json"
+
+    if settings_yaml.exists():
+        reporter.info(f"Reading settings from {settings_yaml}")
+        with settings_yaml.open("r") as file:
+            import yaml
+
+            data = yaml.safe_load(file)
+            return create_graphrag_config(data, root)
+
+    if settings_json.exists():
+        reporter.info(f"Reading settings from {settings_json}")
+        with settings_json.open("r") as file:
+            import json
+
+            data = json.loads(file.read())
+            return create_graphrag_config(data, root)
+
+    reporter.info("Reading settings from environment variables")
+    return create_graphrag_config(root_dir=root)
diff --git a/graphrag/graphrag/query/context_builder/__init__.py b/graphrag/graphrag/query/context_builder/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..7e27364e1ec98983be1768ed56681030d54b00b9
--- /dev/null
+++ b/graphrag/graphrag/query/context_builder/__init__.py
@@ -0,0 +1,4 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Functions to build context for system prompt to generate responses for a user query."""
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diff --git a/graphrag/graphrag/query/context_builder/builders.py b/graphrag/graphrag/query/context_builder/builders.py
new file mode 100644
index 0000000000000000000000000000000000000000..7a4ba277ae809e09ce15c475754ffda6cd388edd
--- /dev/null
+++ b/graphrag/graphrag/query/context_builder/builders.py
@@ -0,0 +1,35 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Base classes for global and local context builders."""
+
+from abc import ABC, abstractmethod
+
+import pandas as pd
+
+from graphrag.query.context_builder.conversation_history import (
+    ConversationHistory,
+)
+
+
+class GlobalContextBuilder(ABC):
+    """Base class for global-search context builders."""
+
+    @abstractmethod
+    def build_context(
+        self, conversation_history: ConversationHistory | None = None, **kwargs
+    ) -> tuple[str | list[str], dict[str, pd.DataFrame]]:
+        """Build the context for the global search mode."""
+
+
+class LocalContextBuilder(ABC):
+    """Base class for local-search context builders."""
+
+    @abstractmethod
+    def build_context(
+        self,
+        query: str,
+        conversation_history: ConversationHistory | None = None,
+        **kwargs,
+    ) -> tuple[str | list[str], dict[str, pd.DataFrame]]:
+        """Build the context for the local search mode."""
diff --git a/graphrag/graphrag/query/context_builder/community_context.py b/graphrag/graphrag/query/context_builder/community_context.py
new file mode 100644
index 0000000000000000000000000000000000000000..dba7f729d27d8070b32daab6a9b6ce22cd88573c
--- /dev/null
+++ b/graphrag/graphrag/query/context_builder/community_context.py
@@ -0,0 +1,241 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Community Context."""
+
+import logging
+import random
+from typing import Any, cast
+
+import pandas as pd
+import tiktoken
+
+from graphrag.model import CommunityReport, Entity
+from graphrag.query.llm.text_utils import num_tokens
+
+log = logging.getLogger(__name__)
+
+
+def build_community_context(
+    community_reports: list[CommunityReport],
+    entities: list[Entity] | None = None,
+    token_encoder: tiktoken.Encoding | None = None,
+    use_community_summary: bool = True,
+    column_delimiter: str = "|",
+    shuffle_data: bool = True,
+    include_community_rank: bool = False,
+    min_community_rank: int = 0,
+    community_rank_name: str = "rank",
+    include_community_weight: bool = True,
+    community_weight_name: str = "occurrence weight",
+    normalize_community_weight: bool = True,
+    max_tokens: int = 8000,
+    single_batch: bool = True,
+    context_name: str = "Reports",
+    random_state: int = 86,
+) -> tuple[str | list[str], dict[str, pd.DataFrame]]:
+    """
+    Prepare community report data table as context data for system prompt.
+
+    If entities are provided, the community weight is calculated as the count of text units associated with entities within the community.
+
+    The calculated weight is added as an attribute to the community reports and added to the context data table.
+    """
+    if (
+        entities
+        and len(community_reports) > 0
+        and include_community_weight
+        and (
+            community_reports[0].attributes is None
+            or community_weight_name not in community_reports[0].attributes
+        )
+    ):
+        log.info("Computing community weights...")
+        community_reports = _compute_community_weights(
+            community_reports=community_reports,
+            entities=entities,
+            weight_attribute=community_weight_name,
+            normalize=normalize_community_weight,
+        )
+
+    selected_reports = [
+        report
+        for report in community_reports
+        if report.rank and report.rank >= min_community_rank
+    ]
+    if selected_reports is None or len(selected_reports) == 0:
+        return ([], {})
+
+    if shuffle_data:
+        random.seed(random_state)
+        random.shuffle(selected_reports)
+
+    # add context header
+    current_context_text = f"-----{context_name}-----" + "\n"
+
+    # add header
+    header = ["id", "title"]
+    attribute_cols = (
+        list(selected_reports[0].attributes.keys())
+        if selected_reports[0].attributes
+        else []
+    )
+    attribute_cols = [col for col in attribute_cols if col not in header]
+    if not include_community_weight:
+        attribute_cols = [col for col in attribute_cols if col != community_weight_name]
+    header.extend(attribute_cols)
+    header.append("summary" if use_community_summary else "content")
+    if include_community_rank:
+        header.append(community_rank_name)
+
+    current_context_text += column_delimiter.join(header) + "\n"
+    current_tokens = num_tokens(current_context_text, token_encoder)
+    current_context_records = [header]
+    all_context_text = []
+    all_context_records = []
+
+    for report in selected_reports:
+        new_context = [
+            report.short_id,
+            report.title,
+            *[
+                str(report.attributes.get(field, "")) if report.attributes else ""
+                for field in attribute_cols
+            ],
+        ]
+        new_context.append(
+            report.summary if use_community_summary else report.full_content
+        )
+        if include_community_rank:
+            new_context.append(str(report.rank))
+        new_context_text = column_delimiter.join(new_context) + "\n"
+
+        new_tokens = num_tokens(new_context_text, token_encoder)
+        if current_tokens + new_tokens > max_tokens:
+            # convert the current context records to pandas dataframe and sort by weight and rank if exist
+            if len(current_context_records) > 1:
+                record_df = _convert_report_context_to_df(
+                    context_records=current_context_records[1:],
+                    header=current_context_records[0],
+                    weight_column=community_weight_name
+                    if entities and include_community_weight
+                    else None,
+                    rank_column=community_rank_name if include_community_rank else None,
+                )
+
+            else:
+                record_df = pd.DataFrame()
+            current_context_text = record_df.to_csv(index=False, sep=column_delimiter)
+
+            if single_batch:
+                return current_context_text, {context_name.lower(): record_df}
+
+            all_context_text.append(current_context_text)
+            all_context_records.append(record_df)
+
+            # start a new batch
+            current_context_text = (
+                f"-----{context_name}-----"
+                + "\n"
+                + column_delimiter.join(header)
+                + "\n"
+            )
+            current_tokens = num_tokens(current_context_text, token_encoder)
+            current_context_records = [header]
+        else:
+            current_context_text += new_context_text
+            current_tokens += new_tokens
+            current_context_records.append(new_context)
+
+    # add the last batch if it has not been added
+    if current_context_text not in all_context_text:
+        if len(current_context_records) > 1:
+            record_df = _convert_report_context_to_df(
+                context_records=current_context_records[1:],
+                header=current_context_records[0],
+                weight_column=community_weight_name
+                if entities and include_community_weight
+                else None,
+                rank_column=community_rank_name if include_community_rank else None,
+            )
+        else:
+            record_df = pd.DataFrame()
+        all_context_records.append(record_df)
+        current_context_text = record_df.to_csv(index=False, sep=column_delimiter)
+        all_context_text.append(current_context_text)
+
+    return all_context_text, {
+        context_name.lower(): pd.concat(all_context_records, ignore_index=True)
+    }
+
+
+def _compute_community_weights(
+    community_reports: list[CommunityReport],
+    entities: list[Entity],
+    weight_attribute: str = "occurrence",
+    normalize: bool = True,
+) -> list[CommunityReport]:
+    """Calculate a community's weight as count of text units associated with entities within the community."""
+    community_text_units = {}
+    for entity in entities:
+        if entity.community_ids:
+            for community_id in entity.community_ids:
+                if community_id not in community_text_units:
+                    community_text_units[community_id] = []
+                community_text_units[community_id].extend(entity.text_unit_ids)
+    for report in community_reports:
+        if not report.attributes:
+            report.attributes = {}
+        report.attributes[weight_attribute] = len(
+            set(community_text_units.get(report.community_id, []))
+        )
+    if normalize:
+        # normalize by max weight
+        all_weights = [
+            report.attributes[weight_attribute]
+            for report in community_reports
+            if report.attributes
+        ]
+        max_weight = max(all_weights)
+        for report in community_reports:
+            if report.attributes:
+                report.attributes[weight_attribute] = (
+                    report.attributes[weight_attribute] / max_weight
+                )
+    return community_reports
+
+
+def _rank_report_context(
+    report_df: pd.DataFrame,
+    weight_column: str | None = "occurrence weight",
+    rank_column: str | None = "rank",
+) -> pd.DataFrame:
+    """Sort report context by community weight and rank if exist."""
+    rank_attributes = []
+    if weight_column:
+        rank_attributes.append(weight_column)
+        report_df[weight_column] = report_df[weight_column].astype(float)
+    if rank_column:
+        rank_attributes.append(rank_column)
+        report_df[rank_column] = report_df[rank_column].astype(float)
+    if len(rank_attributes) > 0:
+        report_df.sort_values(by=rank_attributes, ascending=False, inplace=True)
+    return report_df
+
+
+def _convert_report_context_to_df(
+    context_records: list[list[str]],
+    header: list[str],
+    weight_column: str | None = None,
+    rank_column: str | None = None,
+) -> pd.DataFrame:
+    """Convert report context records to pandas dataframe and sort by weight and rank if exist."""
+    record_df = pd.DataFrame(
+        context_records,
+        columns=cast(Any, header),
+    )
+    return _rank_report_context(
+        report_df=record_df,
+        weight_column=weight_column,
+        rank_column=rank_column,
+    )
diff --git a/graphrag/graphrag/query/context_builder/conversation_history.py b/graphrag/graphrag/query/context_builder/conversation_history.py
new file mode 100644
index 0000000000000000000000000000000000000000..33f516dbd4f9680cc6c199538773435afbd53287
--- /dev/null
+++ b/graphrag/graphrag/query/context_builder/conversation_history.py
@@ -0,0 +1,212 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Classes for storing and managing conversation history."""
+
+from dataclasses import dataclass
+from enum import Enum
+
+import pandas as pd
+import tiktoken
+
+from graphrag.query.llm.text_utils import num_tokens
+
+"""
+Enum for conversation roles
+"""
+
+
+class ConversationRole(str, Enum):
+    """Enum for conversation roles."""
+
+    SYSTEM = "system"
+    USER = "user"
+    ASSISTANT = "assistant"
+
+    @staticmethod
+    def from_string(value: str) -> "ConversationRole":
+        """Convert string to ConversationRole."""
+        if value == "system":
+            return ConversationRole.SYSTEM
+        if value == "user":
+            return ConversationRole.USER
+        if value == "assistant":
+            return ConversationRole.ASSISTANT
+
+        msg = f"Invalid Role: {value}"
+        raise ValueError(msg)
+
+    def __str__(self) -> str:
+        """Return string representation of the enum value."""
+        return self.value
+
+
+"""
+Data class for storing a single conversation turn
+"""
+
+
+@dataclass
+class ConversationTurn:
+    """Data class for storing a single conversation turn."""
+
+    role: ConversationRole
+    content: str
+
+    def __str__(self) -> str:
+        """Return string representation of the conversation turn."""
+        return f"{self.role}: {self.content}"
+
+
+@dataclass
+class QATurn:
+    """
+    Data class for storing a QA turn.
+
+    A QA turn contains a user question and one more multiple assistant answers.
+    """
+
+    user_query: ConversationTurn
+    assistant_answers: list[ConversationTurn] | None = None
+
+    def get_answer_text(self) -> str | None:
+        """Get the text of the assistant answers."""
+        return (
+            "\n".join([answer.content for answer in self.assistant_answers])
+            if self.assistant_answers
+            else None
+        )
+
+    def __str__(self) -> str:
+        """Return string representation of the QA turn."""
+        answers = self.get_answer_text()
+        return (
+            f"Question: {self.user_query.content}\nAnswer: {answers}"
+            if answers
+            else f"Question: {self.user_query.content}"
+        )
+
+
+class ConversationHistory:
+    """Class for storing a conversation history."""
+
+    turns: list[ConversationTurn]
+
+    def __init__(self):
+        self.turns = []
+
+    @classmethod
+    def from_list(
+        cls, conversation_turns: list[dict[str, str]]
+    ) -> "ConversationHistory":
+        """
+        Create a conversation history from a list of conversation turns.
+
+        Each turn is a dictionary in the form of {"role": "<conversation_role>", "content": "<turn content>"}
+        """
+        history = cls()
+        for turn in conversation_turns:
+            history.turns.append(
+                ConversationTurn(
+                    role=ConversationRole.from_string(
+                        turn.get("role", ConversationRole.USER)
+                    ),
+                    content=turn.get("content", ""),
+                )
+            )
+        return history
+
+    def add_turn(self, role: ConversationRole, content: str):
+        """Add a new turn to the conversation history."""
+        self.turns.append(ConversationTurn(role=role, content=content))
+
+    def to_qa_turns(self) -> list[QATurn]:
+        """Convert conversation history to a list of QA turns."""
+        qa_turns = list[QATurn]()
+        current_qa_turn = None
+        for turn in self.turns:
+            if turn.role == ConversationRole.USER:
+                if current_qa_turn:
+                    qa_turns.append(current_qa_turn)
+                current_qa_turn = QATurn(user_query=turn, assistant_answers=[])
+            else:
+                if current_qa_turn:
+                    current_qa_turn.assistant_answers.append(turn)  # type: ignore
+        if current_qa_turn:
+            qa_turns.append(current_qa_turn)
+        return qa_turns
+
+    def get_user_turns(self, max_user_turns: int | None = 1) -> list[str]:
+        """Get the last user turns in the conversation history."""
+        user_turns = []
+        for turn in self.turns[::-1]:
+            if turn.role == ConversationRole.USER:
+                user_turns.append(turn.content)
+                if max_user_turns and len(user_turns) >= max_user_turns:
+                    break
+        return user_turns
+
+    def build_context(
+        self,
+        token_encoder: tiktoken.Encoding | None = None,
+        include_user_turns_only: bool = True,
+        max_qa_turns: int | None = 5,
+        max_tokens: int = 8000,
+        recency_bias: bool = True,
+        column_delimiter: str = "|",
+        context_name: str = "Conversation History",
+    ) -> tuple[str, dict[str, pd.DataFrame]]:
+        """
+        Prepare conversation history as context data for system prompt.
+
+        Parameters
+        ----------
+            user_queries_only: If True, only user queries (not assistant responses) will be included in the context, default is True.
+            max_qa_turns: Maximum number of QA turns to include in the context, default is 1.
+            recency_bias: If True, reverse the order of the conversation history to ensure last QA got prioritized.
+            column_delimiter: Delimiter to use for separating columns in the context data, default is "|".
+            context_name: Name of the context, default is "Conversation History".
+
+        """
+        qa_turns = self.to_qa_turns()
+        if include_user_turns_only:
+            qa_turns = [
+                QATurn(user_query=qa_turn.user_query, assistant_answers=None)
+                for qa_turn in qa_turns
+            ]
+        if recency_bias:
+            qa_turns = qa_turns[::-1]
+        if max_qa_turns and len(qa_turns) > max_qa_turns:
+            qa_turns = qa_turns[:max_qa_turns]
+
+        # build context for qa turns
+        # add context header
+        if len(qa_turns) == 0 or not qa_turns:
+            return ("", {context_name: pd.DataFrame()})
+
+        # add table header
+        header = f"-----{context_name}-----" + "\n"
+
+        turn_list = []
+        current_context_df = pd.DataFrame()
+        for turn in qa_turns:
+            turn_list.append({
+                "turn": ConversationRole.USER.__str__(),
+                "content": turn.user_query.content,
+            })
+            if turn.assistant_answers:
+                turn_list.append({
+                    "turn": ConversationRole.ASSISTANT.__str__(),
+                    "content": turn.get_answer_text(),
+                })
+
+            context_df = pd.DataFrame(turn_list)
+            context_text = header + context_df.to_csv(sep=column_delimiter, index=False)
+            if num_tokens(context_text, token_encoder) > max_tokens:
+                break
+
+            current_context_df = context_df
+        context_text = header + current_context_df.to_csv(
+            sep=column_delimiter, index=False
+        )
+        return (context_text, {context_name.lower(): current_context_df})
diff --git a/graphrag/graphrag/query/context_builder/entity_extraction.py b/graphrag/graphrag/query/context_builder/entity_extraction.py
new file mode 100644
index 0000000000000000000000000000000000000000..82a0699cd84f4d44c0b04f9a988647a755f7e465
--- /dev/null
+++ b/graphrag/graphrag/query/context_builder/entity_extraction.py
@@ -0,0 +1,159 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Orchestration Context Builders."""
+
+from enum import Enum
+
+from graphrag.model import Entity, Relationship
+from graphrag.query.input.retrieval.entities import (
+    get_entity_by_key,
+    get_entity_by_name,
+)
+from graphrag.query.llm.base import BaseTextEmbedding
+from graphrag.vector_stores import BaseVectorStore
+
+
+class EntityVectorStoreKey(str, Enum):
+    """Keys used as ids in the entity embedding vectorstores."""
+
+    ID = "id"
+    TITLE = "title"
+
+    @staticmethod
+    def from_string(value: str) -> "EntityVectorStoreKey":
+        """Convert string to EntityVectorStoreKey."""
+        if value == "id":
+            return EntityVectorStoreKey.ID
+        if value == "title":
+            return EntityVectorStoreKey.TITLE
+
+        msg = f"Invalid EntityVectorStoreKey: {value}"
+        raise ValueError(msg)
+
+
+def map_query_to_entities(
+    query: str,
+    text_embedding_vectorstore: BaseVectorStore,
+    text_embedder: BaseTextEmbedding,
+    all_entities: list[Entity],
+    embedding_vectorstore_key: str = EntityVectorStoreKey.ID,
+    include_entity_names: list[str] | None = None,
+    exclude_entity_names: list[str] | None = None,
+    k: int = 10,
+    oversample_scaler: int = 2,
+) -> list[Entity]:
+    """Extract entities that match a given query using semantic similarity of text embeddings of query and entity descriptions."""
+    if include_entity_names is None:
+        include_entity_names = []
+    if exclude_entity_names is None:
+        exclude_entity_names = []
+    matched_entities = []
+    if query != "":
+        # get entities with highest semantic similarity to query
+        # oversample to account for excluded entities
+        search_results = text_embedding_vectorstore.similarity_search_by_text(
+            text=query,
+            text_embedder=lambda t: text_embedder.embed(t),
+            k=k * oversample_scaler,
+        )
+        for result in search_results:
+            matched = get_entity_by_key(
+                entities=all_entities,
+                key=embedding_vectorstore_key,
+                value=result.document.id,
+            )
+            if matched:
+                matched_entities.append(matched)
+    else:
+        all_entities.sort(key=lambda x: x.rank if x.rank else 0, reverse=True)
+        matched_entities = all_entities[:k]
+
+    # filter out excluded entities
+    if exclude_entity_names:
+        matched_entities = [
+            entity
+            for entity in matched_entities
+            if entity.title not in exclude_entity_names
+        ]
+
+    # add entities in the include_entity list
+    included_entities = []
+    for entity_name in include_entity_names:
+        included_entities.extend(get_entity_by_name(all_entities, entity_name))
+    return included_entities + matched_entities
+
+
+def find_nearest_neighbors_by_graph_embeddings(
+    entity_id: str,
+    graph_embedding_vectorstore: BaseVectorStore,
+    all_entities: list[Entity],
+    exclude_entity_names: list[str] | None = None,
+    embedding_vectorstore_key: str = EntityVectorStoreKey.ID,
+    k: int = 10,
+    oversample_scaler: int = 2,
+) -> list[Entity]:
+    """Retrieve related entities by graph embeddings."""
+    if exclude_entity_names is None:
+        exclude_entity_names = []
+    # find nearest neighbors of this entity using graph embedding
+    query_entity = get_entity_by_key(
+        entities=all_entities, key=embedding_vectorstore_key, value=entity_id
+    )
+    query_embedding = query_entity.graph_embedding if query_entity else None
+
+    # oversample to account for excluded entities
+    if query_embedding:
+        matched_entities = []
+        search_results = graph_embedding_vectorstore.similarity_search_by_vector(
+            query_embedding=query_embedding, k=k * oversample_scaler
+        )
+        for result in search_results:
+            matched = get_entity_by_key(
+                entities=all_entities,
+                key=embedding_vectorstore_key,
+                value=result.document.id,
+            )
+            if matched:
+                matched_entities.append(matched)
+
+        # filter out excluded entities
+        if exclude_entity_names:
+            matched_entities = [
+                entity
+                for entity in matched_entities
+                if entity.title not in exclude_entity_names
+            ]
+        matched_entities.sort(key=lambda x: x.rank, reverse=True)
+        return matched_entities[:k]
+
+    return []
+
+
+def find_nearest_neighbors_by_entity_rank(
+    entity_name: str,
+    all_entities: list[Entity],
+    all_relationships: list[Relationship],
+    exclude_entity_names: list[str] | None = None,
+    k: int | None = 10,
+) -> list[Entity]:
+    """Retrieve entities that have direct connections with the target entity, sorted by entity rank."""
+    if exclude_entity_names is None:
+        exclude_entity_names = []
+    entity_relationships = [
+        rel
+        for rel in all_relationships
+        if rel.source == entity_name or rel.target == entity_name
+    ]
+    source_entity_names = {rel.source for rel in entity_relationships}
+    target_entity_names = {rel.target for rel in entity_relationships}
+    related_entity_names = (source_entity_names.union(target_entity_names)).difference(
+        set(exclude_entity_names)
+    )
+    top_relations = [
+        entity for entity in all_entities if entity.title in related_entity_names
+    ]
+    top_relations.sort(key=lambda x: x.rank if x.rank else 0, reverse=True)
+    if k:
+        return top_relations[:k]
+    return top_relations
diff --git a/graphrag/graphrag/query/context_builder/local_context.py b/graphrag/graphrag/query/context_builder/local_context.py
new file mode 100644
index 0000000000000000000000000000000000000000..c2f7527e33559b3a2c74c5b38051ee00ca3bd297
--- /dev/null
+++ b/graphrag/graphrag/query/context_builder/local_context.py
@@ -0,0 +1,346 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Local Context Builder."""
+
+from collections import defaultdict
+from typing import Any, cast
+
+import pandas as pd
+import tiktoken
+
+from graphrag.model import Covariate, Entity, Relationship
+from graphrag.query.input.retrieval.covariates import (
+    get_candidate_covariates,
+    to_covariate_dataframe,
+)
+from graphrag.query.input.retrieval.entities import to_entity_dataframe
+from graphrag.query.input.retrieval.relationships import (
+    get_candidate_relationships,
+    get_entities_from_relationships,
+    get_in_network_relationships,
+    get_out_network_relationships,
+    to_relationship_dataframe,
+)
+from graphrag.query.llm.text_utils import num_tokens
+
+
+def build_entity_context(
+    selected_entities: list[Entity],
+    token_encoder: tiktoken.Encoding | None = None,
+    max_tokens: int = 8000,
+    include_entity_rank: bool = True,
+    rank_description: str = "number of relationships",
+    column_delimiter: str = "|",
+    context_name="Entities",
+) -> tuple[str, pd.DataFrame]:
+    """Prepare entity data table as context data for system prompt."""
+    if len(selected_entities) == 0:
+        return "", pd.DataFrame()
+
+    # add headers
+    current_context_text = f"-----{context_name}-----" + "\n"
+    header = ["id", "entity", "description"]
+    if include_entity_rank:
+        header.append(rank_description)
+    attribute_cols = (
+        list(selected_entities[0].attributes.keys())
+        if selected_entities[0].attributes
+        else []
+    )
+    header.extend(attribute_cols)
+    current_context_text += column_delimiter.join(header) + "\n"
+    current_tokens = num_tokens(current_context_text, token_encoder)
+
+    all_context_records = [header]
+    for entity in selected_entities:
+        new_context = [
+            entity.short_id if entity.short_id else "",
+            entity.title,
+            entity.description if entity.description else "",
+        ]
+        if include_entity_rank:
+            new_context.append(str(entity.rank))
+        for field in attribute_cols:
+            field_value = (
+                str(entity.attributes.get(field))
+                if entity.attributes and entity.attributes.get(field)
+                else ""
+            )
+            new_context.append(field_value)
+        new_context_text = column_delimiter.join(new_context) + "\n"
+        new_tokens = num_tokens(new_context_text, token_encoder)
+        if current_tokens + new_tokens > max_tokens:
+            break
+        current_context_text += new_context_text
+        all_context_records.append(new_context)
+        current_tokens += new_tokens
+
+    if len(all_context_records) > 1:
+        record_df = pd.DataFrame(
+            all_context_records[1:], columns=cast(Any, all_context_records[0])
+        )
+    else:
+        record_df = pd.DataFrame()
+
+    return current_context_text, record_df
+
+
+def build_covariates_context(
+    selected_entities: list[Entity],
+    covariates: list[Covariate],
+    token_encoder: tiktoken.Encoding | None = None,
+    max_tokens: int = 8000,
+    column_delimiter: str = "|",
+    context_name: str = "Covariates",
+) -> tuple[str, pd.DataFrame]:
+    """Prepare covariate data tables as context data for system prompt."""
+    # create an empty list of covariates
+    if len(selected_entities) == 0 or len(covariates) == 0:
+        return "", pd.DataFrame()
+
+    selected_covariates = list[Covariate]()
+    record_df = pd.DataFrame()
+
+    # add context header
+    current_context_text = f"-----{context_name}-----" + "\n"
+
+    # add header
+    header = ["id", "entity"]
+    attributes = covariates[0].attributes or {} if len(covariates) > 0 else {}
+    attribute_cols = list(attributes.keys()) if len(covariates) > 0 else []
+    header.extend(attribute_cols)
+    current_context_text += column_delimiter.join(header) + "\n"
+    current_tokens = num_tokens(current_context_text, token_encoder)
+
+    all_context_records = [header]
+    for entity in selected_entities:
+        selected_covariates.extend([
+            cov for cov in covariates if cov.subject_id == entity.title
+        ])
+
+    for covariate in selected_covariates:
+        new_context = [
+            covariate.short_id if covariate.short_id else "",
+            covariate.subject_id,
+        ]
+        for field in attribute_cols:
+            field_value = (
+                str(covariate.attributes.get(field))
+                if covariate.attributes and covariate.attributes.get(field)
+                else ""
+            )
+            new_context.append(field_value)
+
+        new_context_text = column_delimiter.join(new_context) + "\n"
+        new_tokens = num_tokens(new_context_text, token_encoder)
+        if current_tokens + new_tokens > max_tokens:
+            break
+        current_context_text += new_context_text
+        all_context_records.append(new_context)
+        current_tokens += new_tokens
+
+        if len(all_context_records) > 1:
+            record_df = pd.DataFrame(
+                all_context_records[1:], columns=cast(Any, all_context_records[0])
+            )
+        else:
+            record_df = pd.DataFrame()
+
+    return current_context_text, record_df
+
+
+def build_relationship_context(
+    selected_entities: list[Entity],
+    relationships: list[Relationship],
+    token_encoder: tiktoken.Encoding | None = None,
+    include_relationship_weight: bool = False,
+    max_tokens: int = 8000,
+    top_k_relationships: int = 10,
+    relationship_ranking_attribute: str = "rank",
+    column_delimiter: str = "|",
+    context_name: str = "Relationships",
+) -> tuple[str, pd.DataFrame]:
+    """Prepare relationship data tables as context data for system prompt."""
+    selected_relationships = _filter_relationships(
+        selected_entities=selected_entities,
+        relationships=relationships,
+        top_k_relationships=top_k_relationships,
+        relationship_ranking_attribute=relationship_ranking_attribute,
+    )
+
+    if len(selected_entities) == 0 or len(selected_relationships) == 0:
+        return "", pd.DataFrame()
+
+    # add headers
+    current_context_text = f"-----{context_name}-----" + "\n"
+    header = ["id", "source", "target", "description"]
+    if include_relationship_weight:
+        header.append("weight")
+    attribute_cols = (
+        list(selected_relationships[0].attributes.keys())
+        if selected_relationships[0].attributes
+        else []
+    )
+    attribute_cols = [col for col in attribute_cols if col not in header]
+    header.extend(attribute_cols)
+
+    current_context_text += column_delimiter.join(header) + "\n"
+    current_tokens = num_tokens(current_context_text, token_encoder)
+
+    all_context_records = [header]
+    for rel in selected_relationships:
+        new_context = [
+            rel.short_id if rel.short_id else "",
+            rel.source,
+            rel.target,
+            rel.description if rel.description else "",
+        ]
+        if include_relationship_weight:
+            new_context.append(str(rel.weight if rel.weight else ""))
+        for field in attribute_cols:
+            field_value = (
+                str(rel.attributes.get(field))
+                if rel.attributes and rel.attributes.get(field)
+                else ""
+            )
+            new_context.append(field_value)
+        new_context_text = column_delimiter.join(new_context) + "\n"
+        new_tokens = num_tokens(new_context_text, token_encoder)
+        if current_tokens + new_tokens > max_tokens:
+            break
+        current_context_text += new_context_text
+        all_context_records.append(new_context)
+        current_tokens += new_tokens
+
+    if len(all_context_records) > 1:
+        record_df = pd.DataFrame(
+            all_context_records[1:], columns=cast(Any, all_context_records[0])
+        )
+    else:
+        record_df = pd.DataFrame()
+
+    return current_context_text, record_df
+
+
+def _filter_relationships(
+    selected_entities: list[Entity],
+    relationships: list[Relationship],
+    top_k_relationships: int = 10,
+    relationship_ranking_attribute: str = "rank",
+) -> list[Relationship]:
+    """Filter and sort relationships based on a set of selected entities and a ranking attribute."""
+    # First priority: in-network relationships (i.e. relationships between selected entities)
+    in_network_relationships = get_in_network_relationships(
+        selected_entities=selected_entities,
+        relationships=relationships,
+        ranking_attribute=relationship_ranking_attribute,
+    )
+
+    # Second priority -  out-of-network relationships
+    # (i.e. relationships between selected entities and other entities that are not within the selected entities)
+    out_network_relationships = get_out_network_relationships(
+        selected_entities=selected_entities,
+        relationships=relationships,
+        ranking_attribute=relationship_ranking_attribute,
+    )
+    if len(out_network_relationships) <= 1:
+        return in_network_relationships + out_network_relationships
+
+    # within out-of-network relationships, prioritize mutual relationships
+    # (i.e. relationships with out-network entities that are shared with multiple selected entities)
+    selected_entity_names = [entity.title for entity in selected_entities]
+    out_network_source_names = [
+        relationship.source
+        for relationship in out_network_relationships
+        if relationship.source not in selected_entity_names
+    ]
+    out_network_target_names = [
+        relationship.target
+        for relationship in out_network_relationships
+        if relationship.target not in selected_entity_names
+    ]
+    out_network_entity_names = list(
+        set(out_network_source_names + out_network_target_names)
+    )
+    out_network_entity_links = defaultdict(int)
+    for entity_name in out_network_entity_names:
+        targets = [
+            relationship.target
+            for relationship in out_network_relationships
+            if relationship.source == entity_name
+        ]
+        sources = [
+            relationship.source
+            for relationship in out_network_relationships
+            if relationship.target == entity_name
+        ]
+        out_network_entity_links[entity_name] = len(set(targets + sources))
+
+    # sort out-network relationships by number of links and rank_attributes
+    for rel in out_network_relationships:
+        if rel.attributes is None:
+            rel.attributes = {}
+        rel.attributes["links"] = (
+            out_network_entity_links[rel.source]
+            if rel.source in out_network_entity_links
+            else out_network_entity_links[rel.target]
+        )
+
+    # sort by attributes[links] first, then by ranking_attribute
+    if relationship_ranking_attribute == "weight":
+        out_network_relationships.sort(
+            key=lambda x: (x.attributes["links"], x.weight),  # type: ignore
+            reverse=True,  # type: ignore
+        )
+    else:
+        out_network_relationships.sort(
+            key=lambda x: (
+                x.attributes["links"],  # type: ignore
+                x.attributes[relationship_ranking_attribute],  # type: ignore
+            ),  # type: ignore
+            reverse=True,
+        )
+
+    relationship_budget = top_k_relationships * len(selected_entities)
+    return in_network_relationships + out_network_relationships[:relationship_budget]
+
+
+def get_candidate_context(
+    selected_entities: list[Entity],
+    entities: list[Entity],
+    relationships: list[Relationship],
+    covariates: dict[str, list[Covariate]],
+    include_entity_rank: bool = True,
+    entity_rank_description: str = "number of relationships",
+    include_relationship_weight: bool = False,
+) -> dict[str, pd.DataFrame]:
+    """Prepare entity, relationship, and covariate data tables as context data for system prompt."""
+    candidate_context = {}
+    candidate_relationships = get_candidate_relationships(
+        selected_entities=selected_entities,
+        relationships=relationships,
+    )
+    candidate_context["relationships"] = to_relationship_dataframe(
+        relationships=candidate_relationships,
+        include_relationship_weight=include_relationship_weight,
+    )
+    candidate_entities = get_entities_from_relationships(
+        relationships=candidate_relationships, entities=entities
+    )
+    candidate_context["entities"] = to_entity_dataframe(
+        entities=candidate_entities,
+        include_entity_rank=include_entity_rank,
+        rank_description=entity_rank_description,
+    )
+
+    for covariate in covariates:
+        candidate_covariates = get_candidate_covariates(
+            selected_entities=selected_entities,
+            covariates=covariates[covariate],
+        )
+        candidate_context[covariate.lower()] = to_covariate_dataframe(
+            candidate_covariates
+        )
+
+    return candidate_context
diff --git a/graphrag/graphrag/query/context_builder/source_context.py b/graphrag/graphrag/query/context_builder/source_context.py
new file mode 100644
index 0000000000000000000000000000000000000000..99b7791ca65bb696c5486fba2f9882d3e9a60379
--- /dev/null
+++ b/graphrag/graphrag/query/context_builder/source_context.py
@@ -0,0 +1,110 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Context Build utility methods."""
+
+import random
+from typing import Any, cast
+
+import pandas as pd
+import tiktoken
+
+from graphrag.model import Entity, Relationship, TextUnit
+from graphrag.query.llm.text_utils import num_tokens
+
+"""
+Contain util functions to build text unit context for the search's system prompt
+"""
+
+
+def build_text_unit_context(
+    text_units: list[TextUnit],
+    token_encoder: tiktoken.Encoding | None = None,
+    column_delimiter: str = "|",
+    shuffle_data: bool = True,
+    max_tokens: int = 8000,
+    context_name: str = "Sources",
+    random_state: int = 86,
+) -> tuple[str, dict[str, pd.DataFrame]]:
+    """Prepare text-unit data table as context data for system prompt."""
+    if text_units is None or len(text_units) == 0:
+        return ("", {})
+
+    if shuffle_data:
+        random.seed(random_state)
+        random.shuffle(text_units)
+
+    # add context header
+    current_context_text = f"-----{context_name}-----" + "\n"
+
+    # add header
+    header = ["id", "text"]
+    attribute_cols = (
+        list(text_units[0].attributes.keys()) if text_units[0].attributes else []
+    )
+    attribute_cols = [col for col in attribute_cols if col not in header]
+    header.extend(attribute_cols)
+
+    current_context_text += column_delimiter.join(header) + "\n"
+    current_tokens = num_tokens(current_context_text, token_encoder)
+    all_context_records = [header]
+
+    for unit in text_units:
+        new_context = [
+            unit.short_id,
+            unit.text,
+            *[
+                str(unit.attributes.get(field, "")) if unit.attributes else ""
+                for field in attribute_cols
+            ],
+        ]
+        new_context_text = column_delimiter.join(new_context) + "\n"
+        new_tokens = num_tokens(new_context_text, token_encoder)
+
+        if current_tokens + new_tokens > max_tokens:
+            break
+
+        current_context_text += new_context_text
+        all_context_records.append(new_context)
+        current_tokens += new_tokens
+
+    if len(all_context_records) > 1:
+        record_df = pd.DataFrame(
+            all_context_records[1:], columns=cast(Any, all_context_records[0])
+        )
+    else:
+        record_df = pd.DataFrame()
+    return current_context_text, {context_name.lower(): record_df}
+
+
+def count_relationships(
+    text_unit: TextUnit, entity: Entity, relationships: dict[str, Relationship]
+) -> int:
+    """Count the number of relationships of the selected entity that are associated with the text unit."""
+    matching_relationships = list[Relationship]()
+    if text_unit.relationship_ids is None:
+        entity_relationships = [
+            rel
+            for rel in relationships.values()
+            if rel.source == entity.title or rel.target == entity.title
+        ]
+        entity_relationships = [
+            rel for rel in entity_relationships if rel.text_unit_ids
+        ]
+        matching_relationships = [
+            rel
+            for rel in entity_relationships
+            if text_unit.id in rel.text_unit_ids  # type: ignore
+        ]  # type: ignore
+    else:
+        text_unit_relationships = [
+            relationships[rel_id]
+            for rel_id in text_unit.relationship_ids
+            if rel_id in relationships
+        ]
+        matching_relationships = [
+            rel
+            for rel in text_unit_relationships
+            if rel.source == entity.title or rel.target == entity.title
+        ]
+    return len(matching_relationships)
diff --git a/graphrag/graphrag/query/factories.py b/graphrag/graphrag/query/factories.py
new file mode 100644
index 0000000000000000000000000000000000000000..533fa153488e2cd4b564d115baa3db71448398aa
--- /dev/null
+++ b/graphrag/graphrag/query/factories.py
@@ -0,0 +1,200 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Query Factory methods to support CLI."""
+
+import tiktoken
+from azure.identity import DefaultAzureCredential, get_bearer_token_provider
+
+from graphrag.config import (
+    GraphRagConfig,
+    LLMType,
+)
+from graphrag.model import (
+    CommunityReport,
+    Covariate,
+    Entity,
+    Relationship,
+    TextUnit,
+)
+from graphrag.query.context_builder.entity_extraction import EntityVectorStoreKey
+from graphrag.query.llm.oai.chat_openai import ChatOpenAI
+from graphrag.query.llm.oai.embedding import OpenAIEmbedding
+from graphrag.query.llm.oai.typing import OpenaiApiType
+from graphrag.query.structured_search.global_search.community_context import (
+    GlobalCommunityContext,
+)
+from graphrag.query.structured_search.global_search.search import GlobalSearch
+from graphrag.query.structured_search.local_search.mixed_context import (
+    LocalSearchMixedContext,
+)
+from graphrag.query.structured_search.local_search.search import LocalSearch
+from graphrag.vector_stores import BaseVectorStore
+
+
+def get_llm(config: GraphRagConfig) -> ChatOpenAI:
+    """Get the LLM client."""
+    is_azure_client = (
+        config.llm.type == LLMType.AzureOpenAIChat
+        or config.llm.type == LLMType.AzureOpenAI
+    )
+    debug_llm_key = config.llm.api_key or ""
+    llm_debug_info = {
+        **config.llm.model_dump(),
+        "api_key": f"REDACTED,len={len(debug_llm_key)}",
+    }
+    if config.llm.cognitive_services_endpoint is None:
+        cognitive_services_endpoint = "https://cognitiveservices.azure.com/.default"
+    else:
+        cognitive_services_endpoint = config.llm.cognitive_services_endpoint
+    print(f"creating llm client with {llm_debug_info}")  # noqa T201
+    return ChatOpenAI(
+        api_key=config.llm.api_key,
+        azure_ad_token_provider=(
+            get_bearer_token_provider(
+                DefaultAzureCredential(), cognitive_services_endpoint
+            )
+            if is_azure_client and not config.llm.api_key
+            else None
+        ),
+        api_base=config.llm.api_base,
+        model=config.llm.model,
+        api_type=OpenaiApiType.AzureOpenAI if is_azure_client else OpenaiApiType.OpenAI,
+        deployment_name=config.llm.deployment_name,
+        api_version=config.llm.api_version,
+        max_retries=config.llm.max_retries,
+    )
+
+
+def get_text_embedder(config: GraphRagConfig) -> OpenAIEmbedding:
+    """Get the LLM client for embeddings."""
+    is_azure_client = config.embeddings.llm.type == LLMType.AzureOpenAIEmbedding
+    debug_embedding_api_key = config.embeddings.llm.api_key or ""
+    llm_debug_info = {
+        **config.embeddings.llm.model_dump(),
+        "api_key": f"REDACTED,len={len(debug_embedding_api_key)}",
+    }
+    if config.embeddings.llm.cognitive_services_endpoint is None:
+        cognitive_services_endpoint = "https://cognitiveservices.azure.com/.default"
+    else:
+        cognitive_services_endpoint = config.embeddings.llm.cognitive_services_endpoint
+    print(f"creating embedding llm client with {llm_debug_info}")  # noqa T201
+    return OpenAIEmbedding(
+        api_key=config.embeddings.llm.api_key,
+        azure_ad_token_provider=(
+            get_bearer_token_provider(
+                DefaultAzureCredential(), cognitive_services_endpoint
+            )
+            if is_azure_client and not config.embeddings.llm.api_key
+            else None
+        ),
+        api_base=config.embeddings.llm.api_base,
+        api_type=OpenaiApiType.AzureOpenAI if is_azure_client else OpenaiApiType.OpenAI,
+        model=config.embeddings.llm.model,
+        deployment_name=config.embeddings.llm.deployment_name,
+        api_version=config.embeddings.llm.api_version,
+        max_retries=config.embeddings.llm.max_retries,
+    )
+
+
+def get_local_search_engine(
+    config: GraphRagConfig,
+    reports: list[CommunityReport],
+    text_units: list[TextUnit],
+    entities: list[Entity],
+    relationships: list[Relationship],
+    covariates: dict[str, list[Covariate]],
+    response_type: str,
+    description_embedding_store: BaseVectorStore,
+) -> LocalSearch:
+    """Create a local search engine based on data + configuration."""
+    llm = get_llm(config)
+    text_embedder = get_text_embedder(config)
+    token_encoder = tiktoken.get_encoding(config.encoding_model)
+
+    ls_config = config.local_search
+
+    return LocalSearch(
+        llm=llm,
+        context_builder=LocalSearchMixedContext(
+            community_reports=reports,
+            text_units=text_units,
+            entities=entities,
+            relationships=relationships,
+            covariates=covariates,
+            entity_text_embeddings=description_embedding_store,
+            embedding_vectorstore_key=EntityVectorStoreKey.ID,  # if the vectorstore uses entity title as ids, set this to EntityVectorStoreKey.TITLE
+            text_embedder=text_embedder,
+            token_encoder=token_encoder,
+        ),
+        token_encoder=token_encoder,
+        llm_params={
+            "max_tokens": ls_config.llm_max_tokens,  # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 1000=1500)
+            "temperature": ls_config.temperature,
+            "top_p": ls_config.top_p,
+            "n": ls_config.n,
+        },
+        context_builder_params={
+            "text_unit_prop": ls_config.text_unit_prop,
+            "community_prop": ls_config.community_prop,
+            "conversation_history_max_turns": ls_config.conversation_history_max_turns,
+            "conversation_history_user_turns_only": True,
+            "top_k_mapped_entities": ls_config.top_k_entities,
+            "top_k_relationships": ls_config.top_k_relationships,
+            "include_entity_rank": True,
+            "include_relationship_weight": True,
+            "include_community_rank": False,
+            "return_candidate_context": False,
+            "embedding_vectorstore_key": EntityVectorStoreKey.ID,  # set this to EntityVectorStoreKey.TITLE if the vectorstore uses entity title as ids
+            "max_tokens": ls_config.max_tokens,  # change this based on the token limit you have on your model (if you are using a model with 8k limit, a good setting could be 5000)
+        },
+        response_type=response_type,
+    )
+
+
+def get_global_search_engine(
+    config: GraphRagConfig,
+    reports: list[CommunityReport],
+    entities: list[Entity],
+    response_type: str,
+):
+    """Create a global search engine based on data + configuration."""
+    token_encoder = tiktoken.get_encoding(config.encoding_model)
+    gs_config = config.global_search
+
+    return GlobalSearch(
+        llm=get_llm(config),
+        context_builder=GlobalCommunityContext(
+            community_reports=reports, entities=entities, token_encoder=token_encoder
+        ),
+        token_encoder=token_encoder,
+        max_data_tokens=gs_config.data_max_tokens,
+        map_llm_params={
+            "max_tokens": gs_config.map_max_tokens,
+            "temperature": gs_config.temperature,
+            "top_p": gs_config.top_p,
+            "n": gs_config.n,
+        },
+        reduce_llm_params={
+            "max_tokens": gs_config.reduce_max_tokens,
+            "temperature": gs_config.temperature,
+            "top_p": gs_config.top_p,
+            "n": gs_config.n,
+        },
+        allow_general_knowledge=False,
+        json_mode=False,
+        context_builder_params={
+            "use_community_summary": False,
+            "shuffle_data": True,
+            "include_community_rank": True,
+            "min_community_rank": 0,
+            "community_rank_name": "rank",
+            "include_community_weight": True,
+            "community_weight_name": "occurrence weight",
+            "normalize_community_weight": True,
+            "max_tokens": gs_config.max_tokens,
+            "context_name": "Reports",
+        },
+        concurrent_coroutines=gs_config.concurrency,
+        response_type=response_type,
+    )
diff --git a/graphrag/graphrag/query/indexer_adapters.py b/graphrag/graphrag/query/indexer_adapters.py
new file mode 100644
index 0000000000000000000000000000000000000000..4ce90d9215a285be9a1439e77c3990f2fd1727d0
--- /dev/null
+++ b/graphrag/graphrag/query/indexer_adapters.py
@@ -0,0 +1,141 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+"""Indexing-Engine to Query Read Adapters.
+
+The parts of these functions that do type adaptation, renaming, collating, etc. should eventually go away.
+Ideally this is just a straight read-thorugh into the object model.
+"""
+
+from typing import cast
+
+import pandas as pd
+
+from graphrag.model import CommunityReport, Covariate, Entity, Relationship, TextUnit
+from graphrag.query.input.loaders.dfs import (
+    read_community_reports,
+    read_covariates,
+    read_entities,
+    read_relationships,
+    read_text_units,
+)
+
+
+def read_indexer_text_units(final_text_units: pd.DataFrame) -> list[TextUnit]:
+    """Read in the Text Units from the raw indexing outputs."""
+    return read_text_units(
+        df=final_text_units,
+        short_id_col=None,
+        # expects a covariate map of type -> ids
+        covariates_col=None,
+    )
+
+
+def read_indexer_covariates(final_covariates: pd.DataFrame) -> list[Covariate]:
+    """Read in the Claims from the raw indexing outputs."""
+    covariate_df = final_covariates
+    covariate_df["id"] = covariate_df["id"].astype(str)
+    return read_covariates(
+        df=covariate_df,
+        short_id_col="human_readable_id",
+        attributes_cols=[
+            "object_id",
+            "status",
+            "start_date",
+            "end_date",
+            "description",
+        ],
+        text_unit_ids_col=None,
+    )
+
+
+def read_indexer_relationships(final_relationships: pd.DataFrame) -> list[Relationship]:
+    """Read in the Relationships from the raw indexing outputs."""
+    return read_relationships(
+        df=final_relationships,
+        short_id_col="human_readable_id",
+        description_embedding_col=None,
+        document_ids_col=None,
+        attributes_cols=["rank"],
+    )
+
+
+def read_indexer_reports(
+    final_community_reports: pd.DataFrame,
+    final_nodes: pd.DataFrame,
+    community_level: int,
+) -> list[CommunityReport]:
+    """Read in the Community Reports from the raw indexing outputs."""
+    report_df = final_community_reports
+    entity_df = final_nodes
+    entity_df = _filter_under_community_level(entity_df, community_level)
+    entity_df["community"] = entity_df["community"].fillna(-1)
+    entity_df["community"] = entity_df["community"].astype(int)
+
+    entity_df = entity_df.groupby(["title"]).agg({"community": "max"}).reset_index()
+    entity_df["community"] = entity_df["community"].astype(str)
+    filtered_community_df = entity_df["community"].drop_duplicates()
+
+    report_df = _filter_under_community_level(report_df, community_level)
+    report_df = report_df.merge(filtered_community_df, on="community", how="inner")
+
+    return read_community_reports(
+        df=report_df,
+        id_col="community",
+        short_id_col="community",
+        summary_embedding_col=None,
+        content_embedding_col=None,
+    )
+
+
+def read_indexer_entities(
+    final_nodes: pd.DataFrame,
+    final_entities: pd.DataFrame,
+    community_level: int,
+) -> list[Entity]:
+    """Read in the Entities from the raw indexing outputs."""
+    entity_df = final_nodes
+    entity_embedding_df = final_entities
+
+    entity_df = _filter_under_community_level(entity_df, community_level)
+    entity_df = cast(pd.DataFrame, entity_df[["title", "degree", "community"]]).rename(
+        columns={"title": "name", "degree": "rank"}
+    )
+
+    entity_df["community"] = entity_df["community"].fillna(-1)
+    entity_df["community"] = entity_df["community"].astype(int)
+    entity_df["rank"] = entity_df["rank"].astype(int)
+
+    # for duplicate entities, keep the one with the highest community level
+    entity_df = (
+        entity_df.groupby(["name", "rank"]).agg({"community": "max"}).reset_index()
+    )
+    entity_df["community"] = entity_df["community"].apply(lambda x: [str(x)])
+    entity_df = entity_df.merge(
+        entity_embedding_df, on="name", how="inner"
+    ).drop_duplicates(subset=["name"])
+
+    # read entity dataframe to knowledge model objects
+    return read_entities(
+        df=entity_df,
+        id_col="id",
+        title_col="name",
+        type_col="type",
+        short_id_col="human_readable_id",
+        description_col="description",
+        community_col="community",
+        rank_col="rank",
+        name_embedding_col=None,
+        description_embedding_col="description_embedding",
+        graph_embedding_col=None,
+        text_unit_ids_col="text_unit_ids",
+        document_ids_col=None,
+    )
+
+
+def _filter_under_community_level(
+    df: pd.DataFrame, community_level: int
+) -> pd.DataFrame:
+    return cast(
+        pd.DataFrame,
+        df[df.level <= community_level],
+    )
diff --git a/graphrag/graphrag/query/input/__init__.py b/graphrag/graphrag/query/input/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..94ae973477305adbc608c820f3a8b41249ab1838
--- /dev/null
+++ b/graphrag/graphrag/query/input/__init__.py
@@ -0,0 +1,4 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""GraphRAG Orchestration Inputs."""
diff --git a/graphrag/graphrag/query/input/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/query/input/__pycache__/__init__.cpython-310.pyc
new file mode 100644
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diff --git a/graphrag/graphrag/query/input/loaders/__init__.py b/graphrag/graphrag/query/input/loaders/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..8f19dac0ddec38f964892b884512300b9848d844
--- /dev/null
+++ b/graphrag/graphrag/query/input/loaders/__init__.py
@@ -0,0 +1,4 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""GraphRAG Orchestartion Input Loaders."""
diff --git a/graphrag/graphrag/query/input/loaders/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/query/input/loaders/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/query/input/loaders/dfs.py b/graphrag/graphrag/query/input/loaders/dfs.py
new file mode 100644
index 0000000000000000000000000000000000000000..7312963bb88c0a04af6a22cdf129733151322c8f
--- /dev/null
+++ b/graphrag/graphrag/query/input/loaders/dfs.py
@@ -0,0 +1,340 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Load data from dataframes into collections of data objects."""
+
+import pandas as pd
+
+from graphrag.model import (
+    Community,
+    CommunityReport,
+    Covariate,
+    Document,
+    Entity,
+    Relationship,
+    TextUnit,
+)
+from graphrag.query.input.loaders.utils import (
+    to_list,
+    to_optional_dict,
+    to_optional_float,
+    to_optional_int,
+    to_optional_list,
+    to_optional_str,
+    to_str,
+)
+from graphrag.vector_stores import BaseVectorStore, VectorStoreDocument
+
+
+def read_entities(
+    df: pd.DataFrame,
+    id_col: str = "id",
+    short_id_col: str | None = "short_id",
+    title_col: str = "title",
+    type_col: str | None = "type",
+    description_col: str | None = "description",
+    name_embedding_col: str | None = "name_embedding",
+    description_embedding_col: str | None = "description_embedding",
+    graph_embedding_col: str | None = "graph_embedding",
+    community_col: str | None = "community_ids",
+    text_unit_ids_col: str | None = "text_unit_ids",
+    document_ids_col: str | None = "document_ids",
+    rank_col: str | None = "degree",
+    attributes_cols: list[str] | None = None,
+) -> list[Entity]:
+    """Read entities from a dataframe."""
+    entities = []
+    for idx, row in df.iterrows():
+        entity = Entity(
+            id=to_str(row, id_col),
+            short_id=to_optional_str(row, short_id_col) if short_id_col else str(idx),
+            title=to_str(row, title_col),
+            type=to_optional_str(row, type_col),
+            description=to_optional_str(row, description_col),
+            name_embedding=to_optional_list(row, name_embedding_col, item_type=float),
+            description_embedding=to_optional_list(
+                row, description_embedding_col, item_type=float
+            ),
+            graph_embedding=to_optional_list(row, graph_embedding_col, item_type=float),
+            community_ids=to_optional_list(row, community_col, item_type=str),
+            text_unit_ids=to_optional_list(row, text_unit_ids_col),
+            document_ids=to_optional_list(row, document_ids_col),
+            rank=to_optional_int(row, rank_col),
+            attributes=(
+                {col: row.get(col) for col in attributes_cols}
+                if attributes_cols
+                else None
+            ),
+        )
+        entities.append(entity)
+    return entities
+
+
+def store_entity_semantic_embeddings(
+    entities: list[Entity],
+    vectorstore: BaseVectorStore,
+) -> BaseVectorStore:
+    """Store entity semantic embeddings in a vectorstore."""
+    documents = [
+        VectorStoreDocument(
+            id=entity.id,
+            text=entity.description,
+            vector=entity.description_embedding,
+            attributes=(
+                {"title": entity.title, **entity.attributes}
+                if entity.attributes
+                else {"title": entity.title}
+            ),
+        )
+        for entity in entities
+    ]
+    vectorstore.load_documents(documents=documents)
+    return vectorstore
+
+
+def store_entity_behavior_embeddings(
+    entities: list[Entity],
+    vectorstore: BaseVectorStore,
+) -> BaseVectorStore:
+    """Store entity behavior embeddings in a vectorstore."""
+    documents = [
+        VectorStoreDocument(
+            id=entity.id,
+            text=entity.description,
+            vector=entity.graph_embedding,
+            attributes=(
+                {"title": entity.title, **entity.attributes}
+                if entity.attributes
+                else {"title": entity.title}
+            ),
+        )
+        for entity in entities
+    ]
+    vectorstore.load_documents(documents=documents)
+    return vectorstore
+
+
+def read_relationships(
+    df: pd.DataFrame,
+    id_col: str = "id",
+    short_id_col: str | None = "short_id",
+    source_col: str = "source",
+    target_col: str = "target",
+    description_col: str | None = "description",
+    description_embedding_col: str | None = "description_embedding",
+    weight_col: str | None = "weight",
+    text_unit_ids_col: str | None = "text_unit_ids",
+    document_ids_col: str | None = "document_ids",
+    attributes_cols: list[str] | None = None,
+) -> list[Relationship]:
+    """Read relationships from a dataframe."""
+    relationships = []
+    for idx, row in df.iterrows():
+        rel = Relationship(
+            id=to_str(row, id_col),
+            short_id=to_optional_str(row, short_id_col) if short_id_col else str(idx),
+            source=to_str(row, source_col),
+            target=to_str(row, target_col),
+            description=to_optional_str(row, description_col),
+            description_embedding=to_optional_list(
+                row, description_embedding_col, item_type=float
+            ),
+            weight=to_optional_float(row, weight_col),
+            text_unit_ids=to_optional_list(row, text_unit_ids_col, item_type=str),
+            document_ids=to_optional_list(row, document_ids_col, item_type=str),
+            attributes=(
+                {col: row.get(col) for col in attributes_cols}
+                if attributes_cols
+                else None
+            ),
+        )
+        relationships.append(rel)
+    return relationships
+
+
+def read_covariates(
+    df: pd.DataFrame,
+    id_col: str = "id",
+    short_id_col: str | None = "short_id",
+    subject_col: str = "subject_id",
+    subject_type_col: str | None = "subject_type",
+    covariate_type_col: str | None = "covariate_type",
+    text_unit_ids_col: str | None = "text_unit_ids",
+    document_ids_col: str | None = "document_ids",
+    attributes_cols: list[str] | None = None,
+) -> list[Covariate]:
+    """Read covariates from a dataframe."""
+    covariates = []
+    for idx, row in df.iterrows():
+        cov = Covariate(
+            id=to_str(row, id_col),
+            short_id=to_optional_str(row, short_id_col) if short_id_col else str(idx),
+            subject_id=to_str(row, subject_col),
+            subject_type=(
+                to_str(row, subject_type_col) if subject_type_col else "entity"
+            ),
+            covariate_type=(
+                to_str(row, covariate_type_col) if covariate_type_col else "claim"
+            ),
+            text_unit_ids=to_optional_list(row, text_unit_ids_col, item_type=str),
+            document_ids=to_optional_list(row, document_ids_col, item_type=str),
+            attributes=(
+                {col: row.get(col) for col in attributes_cols}
+                if attributes_cols
+                else None
+            ),
+        )
+        covariates.append(cov)
+    return covariates
+
+
+def read_communities(
+    df: pd.DataFrame,
+    id_col: str = "id",
+    short_id_col: str | None = "short_id",
+    title_col: str = "title",
+    level_col: str = "level",
+    entities_col: str | None = "entity_ids",
+    relationships_col: str | None = "relationship_ids",
+    covariates_col: str | None = "covariate_ids",
+    attributes_cols: list[str] | None = None,
+) -> list[Community]:
+    """Read communities from a dataframe."""
+    communities = []
+    for idx, row in df.iterrows():
+        comm = Community(
+            id=to_str(row, id_col),
+            short_id=to_optional_str(row, short_id_col) if short_id_col else str(idx),
+            title=to_str(row, title_col),
+            level=to_str(row, level_col),
+            entity_ids=to_optional_list(row, entities_col, item_type=str),
+            relationship_ids=to_optional_list(row, relationships_col, item_type=str),
+            covariate_ids=to_optional_dict(
+                row, covariates_col, key_type=str, value_type=str
+            ),
+            attributes=(
+                {col: row.get(col) for col in attributes_cols}
+                if attributes_cols
+                else None
+            ),
+        )
+        communities.append(comm)
+    return communities
+
+
+def read_community_reports(
+    df: pd.DataFrame,
+    id_col: str = "id",
+    short_id_col: str | None = "short_id",
+    title_col: str = "title",
+    community_col: str = "community",
+    summary_col: str = "summary",
+    content_col: str = "full_content",
+    rank_col: str | None = "rank",
+    summary_embedding_col: str | None = "summary_embedding",
+    content_embedding_col: str | None = "full_content_embedding",
+    attributes_cols: list[str] | None = None,
+) -> list[CommunityReport]:
+    """Read community reports from a dataframe."""
+    reports = []
+    for idx, row in df.iterrows():
+        report = CommunityReport(
+            id=to_str(row, id_col),
+            short_id=to_optional_str(row, short_id_col) if short_id_col else str(idx),
+            title=to_str(row, title_col),
+            community_id=to_str(row, community_col),
+            summary=to_str(row, summary_col),
+            full_content=to_str(row, content_col),
+            rank=to_optional_float(row, rank_col),
+            summary_embedding=to_optional_list(
+                row, summary_embedding_col, item_type=float
+            ),
+            full_content_embedding=to_optional_list(
+                row, content_embedding_col, item_type=float
+            ),
+            attributes=(
+                {col: row.get(col) for col in attributes_cols}
+                if attributes_cols
+                else None
+            ),
+        )
+        reports.append(report)
+    return reports
+
+
+def read_text_units(
+    df: pd.DataFrame,
+    id_col: str = "id",
+    short_id_col: str | None = "short_id",
+    text_col: str = "text",
+    entities_col: str | None = "entity_ids",
+    relationships_col: str | None = "relationship_ids",
+    covariates_col: str | None = "covariate_ids",
+    tokens_col: str | None = "n_tokens",
+    document_ids_col: str | None = "document_ids",
+    embedding_col: str | None = "text_embedding",
+    attributes_cols: list[str] | None = None,
+) -> list[TextUnit]:
+    """Read text units from a dataframe."""
+    text_units = []
+    for idx, row in df.iterrows():
+        chunk = TextUnit(
+            id=to_str(row, id_col),
+            short_id=to_optional_str(row, short_id_col) if short_id_col else str(idx),
+            text=to_str(row, text_col),
+            entity_ids=to_optional_list(row, entities_col, item_type=str),
+            relationship_ids=to_optional_list(row, relationships_col, item_type=str),
+            covariate_ids=to_optional_dict(
+                row, covariates_col, key_type=str, value_type=str
+            ),
+            text_embedding=to_optional_list(row, embedding_col, item_type=float),  # type: ignore
+            n_tokens=to_optional_int(row, tokens_col),
+            document_ids=to_optional_list(row, document_ids_col, item_type=str),
+            attributes=(
+                {col: row.get(col) for col in attributes_cols}
+                if attributes_cols
+                else None
+            ),
+        )
+        text_units.append(chunk)
+    return text_units
+
+
+def read_documents(
+    df: pd.DataFrame,
+    id_col: str = "id",
+    short_id_col: str = "short_id",
+    title_col: str = "title",
+    type_col: str = "type",
+    summary_col: str | None = "entities",
+    raw_content_col: str | None = "relationships",
+    summary_embedding_col: str | None = "summary_embedding",
+    content_embedding_col: str | None = "raw_content_embedding",
+    text_units_col: str | None = "text_units",
+    attributes_cols: list[str] | None = None,
+) -> list[Document]:
+    """Read documents from a dataframe."""
+    docs = []
+    for idx, row in df.iterrows():
+        doc = Document(
+            id=to_str(row, id_col),
+            short_id=to_optional_str(row, short_id_col) if short_id_col else str(idx),
+            title=to_str(row, title_col),
+            type=to_str(row, type_col),
+            summary=to_optional_str(row, summary_col),
+            raw_content=to_str(row, raw_content_col),
+            summary_embedding=to_optional_list(
+                row, summary_embedding_col, item_type=float
+            ),
+            raw_content_embedding=to_optional_list(
+                row, content_embedding_col, item_type=float
+            ),
+            text_units=to_list(row, text_units_col, item_type=str),  # type: ignore
+            attributes=(
+                {col: row.get(col) for col in attributes_cols}
+                if attributes_cols
+                else None
+            ),
+        )
+        docs.append(doc)
+    return docs
diff --git a/graphrag/graphrag/query/input/loaders/utils.py b/graphrag/graphrag/query/input/loaders/utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..e0fffd2467bb86bc4957a87420c950c4407c2d13
--- /dev/null
+++ b/graphrag/graphrag/query/input/loaders/utils.py
@@ -0,0 +1,245 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Data load utils."""
+
+import numpy as np
+import pandas as pd
+
+
+def to_str(data: pd.Series, column_name: str | None) -> str:
+    """Convert and validate a value to a string."""
+    if column_name is None:
+        msg = "Column name is None"
+        raise ValueError(msg)
+
+    if column_name in data:
+        return str(data[column_name])
+    msg = f"Column {column_name} not found in data"
+    raise ValueError(msg)
+
+
+def to_optional_str(data: pd.Series, column_name: str | None) -> str | None:
+    """Convert and validate a value to an optional string."""
+    if column_name is None:
+        msg = "Column name is None"
+        raise ValueError(msg)
+
+    if column_name in data:
+        value = data[column_name]
+        if value is None:
+            return None
+        return str(data[column_name])
+    msg = f"Column {column_name} not found in data"
+    raise ValueError(msg)
+
+
+def to_list(
+    data: pd.Series, column_name: str | None, item_type: type | None = None
+) -> list:
+    """Convert and validate a value to a list."""
+    if column_name is None:
+        msg = "Column name is None"
+        raise ValueError(msg)
+
+    if column_name in data:
+        value = data[column_name]
+        if isinstance(value, np.ndarray):
+            value = value.tolist()
+
+        if not isinstance(value, list):
+            msg = f"value is not a list: {value} ({type(value)})"
+            raise ValueError(msg)
+
+        if item_type is not None:
+            for v in value:
+                if not isinstance(v, item_type):
+                    msg = f"list item has item that is not {item_type}: {v} ({type(v)})"
+                    raise TypeError(msg)
+        return value
+
+    msg = f"Column {column_name} not found in data"
+    raise ValueError(msg)
+
+
+def to_optional_list(
+    data: pd.Series, column_name: str | None, item_type: type | None = None
+) -> list | None:
+    """Convert and validate a value to an optional list."""
+    if column_name is None:
+        return None
+
+    if column_name in data:
+        value = data[column_name]  # type: ignore
+        if value is None:
+            return None
+
+        if isinstance(value, np.ndarray):
+            value = value.tolist()
+
+        if not isinstance(value, list):
+            msg = f"value is not a list: {value} ({type(value)})"
+            raise ValueError(msg)
+
+        if item_type is not None:
+            for v in value:
+                if not isinstance(v, item_type):
+                    msg = f"list item has item that is not {item_type}: {v} ({type(v)})"
+                    raise TypeError(msg)
+        return value
+
+    return None
+
+
+def to_int(data: pd.Series, column_name: str | None) -> int:
+    """Convert and validate a value to an int."""
+    if column_name is None:
+        msg = "Column name is None"
+        raise ValueError(msg)
+
+    if column_name in data:
+        value = data[column_name]
+        if isinstance(value, float):
+            value = int(value)
+        if not isinstance(value, int):
+            msg = f"value is not an int: {value} ({type(value)})"
+            raise ValueError(msg)
+    else:
+        msg = f"Column {column_name} not found in data"
+        raise ValueError(msg)
+
+    return int(value)
+
+
+def to_optional_int(data: pd.Series, column_name: str | None) -> int | None:
+    """Convert and validate a value to an optional int."""
+    if column_name is None:
+        return None
+
+    if column_name in data:
+        value = data[column_name]
+
+        if value is None:
+            return None
+
+        if isinstance(value, float):
+            value = int(value)
+        if not isinstance(value, int):
+            msg = f"value is not an int: {value} ({type(value)})"
+            raise ValueError(msg)
+    else:
+        msg = f"Column {column_name} not found in data"
+        raise ValueError(msg)
+
+    return int(value)
+
+
+def to_float(data: pd.Series, column_name: str | None) -> float:
+    """Convert and validate a value to a float."""
+    if column_name is None:
+        msg = "Column name is None"
+        raise ValueError(msg)
+
+    if column_name in data:
+        value = data[column_name]
+        if not isinstance(value, float):
+            msg = f"value is not a float: {value} ({type(value)})"
+            raise ValueError(msg)
+    else:
+        msg = f"Column {column_name} not found in data"
+        raise ValueError(msg)
+
+    return float(value)
+
+
+def to_optional_float(data: pd.Series, column_name: str | None) -> float | None:
+    """Convert and validate a value to an optional float."""
+    if column_name is None:
+        return None
+
+    if column_name in data:
+        value = data[column_name]
+        if value is None:
+            return None
+        if not isinstance(value, float):
+            msg = f"value is not a float: {value} ({type(value)})"
+            raise ValueError(msg)
+    else:
+        msg = f"Column {column_name} not found in data"
+        raise ValueError(msg)
+
+    return float(value)
+
+
+def to_dict(
+    data: pd.Series,
+    column_name: str | None,
+    key_type: type | None = None,
+    value_type: type | None = None,
+) -> dict:
+    """Convert and validate a value to a dict."""
+    if column_name is None:
+        msg = "Column name is None"
+        raise ValueError(msg)
+
+    if column_name in data:
+        value = data[column_name]
+        if not isinstance(value, dict):
+            msg = f"value is not a dict: {value} ({type(value)})"
+            raise ValueError(msg)
+
+        if key_type is not None:
+            for v in value:
+                if not isinstance(v, key_type):
+                    msg = f"dict key has item that is not {key_type}: {v} ({type(v)})"
+                    raise TypeError(msg)
+
+        if value_type is not None:
+            for v in value.values():
+                if not isinstance(v, value_type):
+                    msg = (
+                        f"dict value has item that is not {value_type}: {v} ({type(v)})"
+                    )
+                    raise TypeError(msg)
+        return value
+
+    msg = f"Column {column_name} not found in data"
+    raise ValueError(msg)
+
+
+def to_optional_dict(
+    data: pd.Series,
+    column_name: str | None,
+    key_type: type | None = None,
+    value_type: type | None = None,
+) -> dict | None:
+    """Convert and validate a value to an optional dict."""
+    if column_name is None:
+        return None
+
+    if column_name in data:
+        value = data[column_name]
+        if value is None:
+            return None
+        if not isinstance(value, dict):
+            msg = f"value is not a dict: {value} ({type(value)})"
+            raise TypeError(msg)
+
+        if key_type is not None:
+            for v in value:
+                if not isinstance(v, key_type):
+                    msg = f"dict key has item that is not {key_type}: {v} ({type(v)})"
+                    raise TypeError(msg)
+
+        if value_type is not None:
+            for v in value.values():
+                if not isinstance(v, value_type):
+                    msg = (
+                        f"dict value has item that is not {value_type}: {v} ({type(v)})"
+                    )
+                    raise TypeError(msg)
+
+        return value
+
+    msg = f"Column {column_name} not found in data"
+    raise ValueError(msg)
diff --git a/graphrag/graphrag/query/input/retrieval/__init__.py b/graphrag/graphrag/query/input/retrieval/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..75c2f9f095749633795705c50898bbed099e891d
--- /dev/null
+++ b/graphrag/graphrag/query/input/retrieval/__init__.py
@@ -0,0 +1,4 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""GraphRAG Orchestration Input Retrieval."""
diff --git a/graphrag/graphrag/query/input/retrieval/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/query/input/retrieval/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/query/input/retrieval/community_reports.py b/graphrag/graphrag/query/input/retrieval/community_reports.py
new file mode 100644
index 0000000000000000000000000000000000000000..bd4933f1f9465d8d81ddb92f601f84989ecfa306
--- /dev/null
+++ b/graphrag/graphrag/query/input/retrieval/community_reports.py
@@ -0,0 +1,74 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Util functions to retrieve community reports from a collection."""
+
+from typing import Any, cast
+
+import pandas as pd
+
+from graphrag.model import CommunityReport, Entity
+
+
+def get_candidate_communities(
+    selected_entities: list[Entity],
+    community_reports: list[CommunityReport],
+    include_community_rank: bool = False,
+    use_community_summary: bool = False,
+) -> pd.DataFrame:
+    """Get all communities that are related to selected entities."""
+    selected_community_ids = [
+        entity.community_ids for entity in selected_entities if entity.community_ids
+    ]
+    selected_community_ids = [
+        item for sublist in selected_community_ids for item in sublist
+    ]
+    selected_reports = [
+        community
+        for community in community_reports
+        if community.id in selected_community_ids
+    ]
+    return to_community_report_dataframe(
+        reports=selected_reports,
+        include_community_rank=include_community_rank,
+        use_community_summary=use_community_summary,
+    )
+
+
+def to_community_report_dataframe(
+    reports: list[CommunityReport],
+    include_community_rank: bool = False,
+    use_community_summary: bool = False,
+) -> pd.DataFrame:
+    """Convert a list of communities to a pandas dataframe."""
+    if len(reports) == 0:
+        return pd.DataFrame()
+
+    # add header
+    header = ["id", "title"]
+    attribute_cols = list(reports[0].attributes.keys()) if reports[0].attributes else []
+    attribute_cols = [col for col in attribute_cols if col not in header]
+    header.extend(attribute_cols)
+    header.append("summary" if use_community_summary else "content")
+    if include_community_rank:
+        header.append("rank")
+
+    records = []
+    for report in reports:
+        new_record = [
+            report.short_id if report.short_id else "",
+            report.title,
+            *[
+                str(report.attributes.get(field, ""))
+                if report.attributes and report.attributes.get(field)
+                else ""
+                for field in attribute_cols
+            ],
+        ]
+        new_record.append(
+            report.summary if use_community_summary else report.full_content
+        )
+        if include_community_rank:
+            new_record.append(str(report.rank))
+        records.append(new_record)
+    return pd.DataFrame(records, columns=cast(Any, header))
diff --git a/graphrag/graphrag/query/input/retrieval/covariates.py b/graphrag/graphrag/query/input/retrieval/covariates.py
new file mode 100644
index 0000000000000000000000000000000000000000..1c45203d01428fb1475abb94375ac54abbde2eff
--- /dev/null
+++ b/graphrag/graphrag/query/input/retrieval/covariates.py
@@ -0,0 +1,52 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Util functions to retrieve covariates from a collection."""
+
+from typing import Any, cast
+
+import pandas as pd
+
+from graphrag.model import Covariate, Entity
+
+
+def get_candidate_covariates(
+    selected_entities: list[Entity],
+    covariates: list[Covariate],
+) -> list[Covariate]:
+    """Get all covariates that are related to selected entities."""
+    selected_entity_names = [entity.title for entity in selected_entities]
+    return [
+        covariate
+        for covariate in covariates
+        if covariate.subject_id in selected_entity_names
+    ]
+
+
+def to_covariate_dataframe(covariates: list[Covariate]) -> pd.DataFrame:
+    """Convert a list of covariates to a pandas dataframe."""
+    if len(covariates) == 0:
+        return pd.DataFrame()
+
+    # add header
+    header = ["id", "entity"]
+    attributes = covariates[0].attributes or {} if len(covariates) > 0 else {}
+    attribute_cols = list(attributes.keys()) if len(covariates) > 0 else []
+    attribute_cols = [col for col in attribute_cols if col not in header]
+    header.extend(attribute_cols)
+
+    records = []
+    for covariate in covariates:
+        new_record = [
+            covariate.short_id if covariate.short_id else "",
+            covariate.subject_id,
+        ]
+        for field in attribute_cols:
+            field_value = (
+                str(covariate.attributes.get(field))
+                if covariate.attributes and covariate.attributes.get(field)
+                else ""
+            )
+            new_record.append(field_value)
+        records.append(new_record)
+    return pd.DataFrame(records, columns=cast(Any, header))
diff --git a/graphrag/graphrag/query/input/retrieval/entities.py b/graphrag/graphrag/query/input/retrieval/entities.py
new file mode 100644
index 0000000000000000000000000000000000000000..5465f9f59ebd02a614de434ed7d50a93c972cfd2
--- /dev/null
+++ b/graphrag/graphrag/query/input/retrieval/entities.py
@@ -0,0 +1,93 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Util functions to get entities from a collection."""
+
+import uuid
+from collections.abc import Iterable
+from typing import Any, cast
+
+import pandas as pd
+
+from graphrag.model import Entity
+
+
+def get_entity_by_key(
+    entities: Iterable[Entity], key: str, value: str | int
+) -> Entity | None:
+    """Get entity by key."""
+    for entity in entities:
+        if isinstance(value, str) and is_valid_uuid(value):
+            if getattr(entity, key) == value or getattr(entity, key) == value.replace(
+                "-", ""
+            ):
+                return entity
+        else:
+            if getattr(entity, key) == value:
+                return entity
+    return None
+
+
+def get_entity_by_name(entities: Iterable[Entity], entity_name: str) -> list[Entity]:
+    """Get entities by name."""
+    return [entity for entity in entities if entity.title == entity_name]
+
+
+def get_entity_by_attribute(
+    entities: Iterable[Entity], attribute_name: str, attribute_value: Any
+) -> list[Entity]:
+    """Get entities by attribute."""
+    return [
+        entity
+        for entity in entities
+        if entity.attributes
+        and entity.attributes.get(attribute_name) == attribute_value
+    ]
+
+
+def to_entity_dataframe(
+    entities: list[Entity],
+    include_entity_rank: bool = True,
+    rank_description: str = "number of relationships",
+) -> pd.DataFrame:
+    """Convert a list of entities to a pandas dataframe."""
+    if len(entities) == 0:
+        return pd.DataFrame()
+    header = ["id", "entity", "description"]
+    if include_entity_rank:
+        header.append(rank_description)
+    attribute_cols = (
+        list(entities[0].attributes.keys()) if entities[0].attributes else []
+    )
+    attribute_cols = [col for col in attribute_cols if col not in header]
+    header.extend(attribute_cols)
+
+    records = []
+    for entity in entities:
+        new_record = [
+            entity.short_id if entity.short_id else "",
+            entity.title,
+            entity.description if entity.description else "",
+        ]
+        if include_entity_rank:
+            new_record.append(str(entity.rank))
+
+        for field in attribute_cols:
+            field_value = (
+                str(entity.attributes.get(field))
+                if entity.attributes and entity.attributes.get(field)
+                else ""
+            )
+            new_record.append(field_value)
+        records.append(new_record)
+    return pd.DataFrame(records, columns=cast(Any, header))
+
+
+def is_valid_uuid(value: str) -> bool:
+    """Determine if a string is a valid UUID."""
+    try:
+        uuid.UUID(str(value))
+    except ValueError:
+        return False
+    else:
+        return True
diff --git a/graphrag/graphrag/query/input/retrieval/relationships.py b/graphrag/graphrag/query/input/retrieval/relationships.py
new file mode 100644
index 0000000000000000000000000000000000000000..2ef5ba38cb069a02084ec366879e865afb597c96
--- /dev/null
+++ b/graphrag/graphrag/query/input/retrieval/relationships.py
@@ -0,0 +1,173 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Util functions to retrieve relationships from a collection."""
+
+from typing import Any, cast
+
+import pandas as pd
+
+from graphrag.model import Entity, Relationship
+
+
+def get_in_network_relationships(
+    selected_entities: list[Entity],
+    relationships: list[Relationship],
+    ranking_attribute: str = "rank",
+) -> list[Relationship]:
+    """Get all directed relationships between selected entities, sorted by ranking_attribute."""
+    selected_entity_names = [entity.title for entity in selected_entities]
+    selected_relationships = [
+        relationship
+        for relationship in relationships
+        if relationship.source in selected_entity_names
+        and relationship.target in selected_entity_names
+    ]
+    if len(selected_relationships) <= 1:
+        return selected_relationships
+
+    # sort by ranking attribute
+    return sort_relationships_by_ranking_attribute(
+        selected_relationships, selected_entities, ranking_attribute
+    )
+
+
+def get_out_network_relationships(
+    selected_entities: list[Entity],
+    relationships: list[Relationship],
+    ranking_attribute: str = "rank",
+) -> list[Relationship]:
+    """Get relationships from selected entities to other entities that are not within the selected entities, sorted by ranking_attribute."""
+    selected_entity_names = [entity.title for entity in selected_entities]
+    source_relationships = [
+        relationship
+        for relationship in relationships
+        if relationship.source in selected_entity_names
+        and relationship.target not in selected_entity_names
+    ]
+    target_relationships = [
+        relationship
+        for relationship in relationships
+        if relationship.target in selected_entity_names
+        and relationship.source not in selected_entity_names
+    ]
+    selected_relationships = source_relationships + target_relationships
+    return sort_relationships_by_ranking_attribute(
+        selected_relationships, selected_entities, ranking_attribute
+    )
+
+
+def get_candidate_relationships(
+    selected_entities: list[Entity],
+    relationships: list[Relationship],
+) -> list[Relationship]:
+    """Get all relationships that are associated with the selected entities."""
+    selected_entity_names = [entity.title for entity in selected_entities]
+    return [
+        relationship
+        for relationship in relationships
+        if relationship.source in selected_entity_names
+        or relationship.target in selected_entity_names
+    ]
+
+
+def get_entities_from_relationships(
+    relationships: list[Relationship], entities: list[Entity]
+) -> list[Entity]:
+    """Get all entities that are associated with the selected relationships."""
+    selected_entity_names = [relationship.source for relationship in relationships] + [
+        relationship.target for relationship in relationships
+    ]
+    return [entity for entity in entities if entity.title in selected_entity_names]
+
+
+def calculate_relationship_combined_rank(
+    relationships: list[Relationship],
+    entities: list[Entity],
+    ranking_attribute: str = "rank",
+) -> list[Relationship]:
+    """Calculate default rank for a relationship based on the combined rank of source and target entities."""
+    entity_mappings = {entity.title: entity for entity in entities}
+
+    for relationship in relationships:
+        if relationship.attributes is None:
+            relationship.attributes = {}
+        source = entity_mappings.get(relationship.source)
+        target = entity_mappings.get(relationship.target)
+        source_rank = source.rank if source and source.rank else 0
+        target_rank = target.rank if target and target.rank else 0
+        relationship.attributes[ranking_attribute] = source_rank + target_rank  # type: ignore
+    return relationships
+
+
+def sort_relationships_by_ranking_attribute(
+    relationships: list[Relationship],
+    entities: list[Entity],
+    ranking_attribute: str = "rank",
+) -> list[Relationship]:
+    """
+    Sort relationships by a ranking_attribute.
+
+    If no ranking attribute exists, sort by combined rank of source and target entities.
+    """
+    if len(relationships) == 0:
+        return relationships
+
+    # sort by ranking attribute
+    attribute_names = (
+        list(relationships[0].attributes.keys()) if relationships[0].attributes else []
+    )
+    if ranking_attribute in attribute_names:
+        relationships.sort(
+            key=lambda x: int(x.attributes[ranking_attribute]) if x.attributes else 0,
+            reverse=True,
+        )
+    elif ranking_attribute == "weight":
+        relationships.sort(key=lambda x: x.weight if x.weight else 0.0, reverse=True)
+    else:
+        # ranking attribute do not exist, calculate rank = combined ranks of source and target
+        relationships = calculate_relationship_combined_rank(
+            relationships, entities, ranking_attribute
+        )
+        relationships.sort(
+            key=lambda x: int(x.attributes[ranking_attribute]) if x.attributes else 0,
+            reverse=True,
+        )
+    return relationships
+
+
+def to_relationship_dataframe(
+    relationships: list[Relationship], include_relationship_weight: bool = True
+) -> pd.DataFrame:
+    """Convert a list of relationships to a pandas dataframe."""
+    if len(relationships) == 0:
+        return pd.DataFrame()
+
+    header = ["id", "source", "target", "description"]
+    if include_relationship_weight:
+        header.append("weight")
+    attribute_cols = (
+        list(relationships[0].attributes.keys()) if relationships[0].attributes else []
+    )
+    attribute_cols = [col for col in attribute_cols if col not in header]
+    header.extend(attribute_cols)
+
+    records = []
+    for rel in relationships:
+        new_record = [
+            rel.short_id if rel.short_id else "",
+            rel.source,
+            rel.target,
+            rel.description if rel.description else "",
+        ]
+        if include_relationship_weight:
+            new_record.append(str(rel.weight if rel.weight else ""))
+        for field in attribute_cols:
+            field_value = (
+                str(rel.attributes.get(field))
+                if rel.attributes and rel.attributes.get(field)
+                else ""
+            )
+            new_record.append(field_value)
+        records.append(new_record)
+    return pd.DataFrame(records, columns=cast(Any, header))
diff --git a/graphrag/graphrag/query/input/retrieval/text_units.py b/graphrag/graphrag/query/input/retrieval/text_units.py
new file mode 100644
index 0000000000000000000000000000000000000000..a00dc20a0a2f25cf97071801ca15f5606c5ee038
--- /dev/null
+++ b/graphrag/graphrag/query/input/retrieval/text_units.py
@@ -0,0 +1,52 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Util functions to retrieve text units from a collection."""
+
+from typing import Any, cast
+
+import pandas as pd
+
+from graphrag.model import Entity, TextUnit
+
+
+def get_candidate_text_units(
+    selected_entities: list[Entity],
+    text_units: list[TextUnit],
+) -> pd.DataFrame:
+    """Get all text units that are associated to selected entities."""
+    selected_text_ids = [
+        entity.text_unit_ids for entity in selected_entities if entity.text_unit_ids
+    ]
+    selected_text_ids = [item for sublist in selected_text_ids for item in sublist]
+    selected_text_units = [unit for unit in text_units if unit.id in selected_text_ids]
+    return to_text_unit_dataframe(selected_text_units)
+
+
+def to_text_unit_dataframe(text_units: list[TextUnit]) -> pd.DataFrame:
+    """Convert a list of text units to a pandas dataframe."""
+    if len(text_units) == 0:
+        return pd.DataFrame()
+
+    # add header
+    header = ["id", "text"]
+    attribute_cols = (
+        list(text_units[0].attributes.keys()) if text_units[0].attributes else []
+    )
+    attribute_cols = [col for col in attribute_cols if col not in header]
+    header.extend(attribute_cols)
+
+    records = []
+    for unit in text_units:
+        new_record = [
+            unit.short_id,
+            unit.text,
+            *[
+                str(unit.attributes.get(field, ""))
+                if unit.attributes and unit.attributes.get(field)
+                else ""
+                for field in attribute_cols
+            ],
+        ]
+        records.append(new_record)
+    return pd.DataFrame(records, columns=cast(Any, header))
diff --git a/graphrag/graphrag/query/llm/__init__.py b/graphrag/graphrag/query/llm/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..b8f507b138ffb98eca02e3bd82be34b9848bc522
--- /dev/null
+++ b/graphrag/graphrag/query/llm/__init__.py
@@ -0,0 +1,4 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Orchestration LLM utilities."""
diff --git a/graphrag/graphrag/query/llm/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/query/llm/__pycache__/__init__.cpython-310.pyc
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index 0000000000000000000000000000000000000000..fd7b454c7900a7a81424cf49333bf00f58337d08
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diff --git a/graphrag/graphrag/query/llm/__pycache__/text_utils.cpython-310.pyc b/graphrag/graphrag/query/llm/__pycache__/text_utils.cpython-310.pyc
new file mode 100644
index 0000000000000000000000000000000000000000..48ff910af7e91dcb9e785215f9ebcc09516a98ac
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diff --git a/graphrag/graphrag/query/llm/base.py b/graphrag/graphrag/query/llm/base.py
new file mode 100644
index 0000000000000000000000000000000000000000..228150af50707713f44767dcca679f387bfccb02
--- /dev/null
+++ b/graphrag/graphrag/query/llm/base.py
@@ -0,0 +1,54 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Base classes for LLM and Embedding models."""
+
+from abc import ABC, abstractmethod
+from typing import Any
+
+
+class BaseLLMCallback:
+    """Base class for LLM callbacks."""
+
+    def __init__(self):
+        self.response = []
+
+    def on_llm_new_token(self, token: str):
+        """Handle when a new token is generated."""
+        self.response.append(token)
+
+
+class BaseLLM(ABC):
+    """The Base LLM implementation."""
+
+    @abstractmethod
+    def generate(
+        self,
+        messages: str | list[Any],
+        streaming: bool = True,
+        callbacks: list[BaseLLMCallback] | None = None,
+        **kwargs: Any,
+    ) -> str:
+        """Generate a response."""
+
+    @abstractmethod
+    async def agenerate(
+        self,
+        messages: str | list[Any],
+        streaming: bool = True,
+        callbacks: list[BaseLLMCallback] | None = None,
+        **kwargs: Any,
+    ) -> str:
+        """Generate a response asynchronously."""
+
+
+class BaseTextEmbedding(ABC):
+    """The text embedding interface."""
+
+    @abstractmethod
+    def embed(self, text: str, **kwargs: Any) -> list[float]:
+        """Embed a text string."""
+
+    @abstractmethod
+    async def aembed(self, text: str, **kwargs: Any) -> list[float]:
+        """Embed a text string asynchronously."""
diff --git a/graphrag/graphrag/query/llm/oai/__init__.py b/graphrag/graphrag/query/llm/oai/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..cbb257905e9ade08e3f41d734afe8b5215a67fe1
--- /dev/null
+++ b/graphrag/graphrag/query/llm/oai/__init__.py
@@ -0,0 +1,21 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""GraphRAG Orchestration OpenAI Wrappers."""
+
+from .base import BaseOpenAILLM, OpenAILLMImpl, OpenAITextEmbeddingImpl
+from .chat_openai import ChatOpenAI
+from .embedding import OpenAIEmbedding
+from .openai import OpenAI
+from .typing import OPENAI_RETRY_ERROR_TYPES, OpenaiApiType
+
+__all__ = [
+    "OPENAI_RETRY_ERROR_TYPES",
+    "BaseOpenAILLM",
+    "ChatOpenAI",
+    "OpenAI",
+    "OpenAIEmbedding",
+    "OpenAILLMImpl",
+    "OpenAITextEmbeddingImpl",
+    "OpenaiApiType",
+]
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diff --git a/graphrag/graphrag/query/llm/oai/base.py b/graphrag/graphrag/query/llm/oai/base.py
new file mode 100644
index 0000000000000000000000000000000000000000..6181c0b2a5f40b297142ebc0351fe8d1e19466b4
--- /dev/null
+++ b/graphrag/graphrag/query/llm/oai/base.py
@@ -0,0 +1,187 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Base classes for LLM and Embedding models."""
+
+from abc import ABC, abstractmethod
+from collections.abc import Callable
+
+from openai import AsyncAzureOpenAI, AsyncOpenAI, AzureOpenAI, OpenAI
+
+from graphrag.query.llm.base import BaseTextEmbedding
+from graphrag.query.llm.oai.typing import OpenaiApiType
+from graphrag.query.progress import ConsoleStatusReporter, StatusReporter
+
+
+class BaseOpenAILLM(ABC):
+    """The Base OpenAI LLM implementation."""
+
+    _async_client: AsyncOpenAI | AsyncAzureOpenAI
+    _sync_client: OpenAI | AzureOpenAI
+
+    def __init__(self):
+        self._create_openai_client()
+
+    @abstractmethod
+    def _create_openai_client(self):
+        """Create a new synchronous and asynchronous OpenAI client instance."""
+
+    def set_clients(
+        self,
+        sync_client: OpenAI | AzureOpenAI,
+        async_client: AsyncOpenAI | AsyncAzureOpenAI,
+    ):
+        """
+        Set the synchronous and asynchronous clients used for making API requests.
+
+        Args:
+            sync_client (OpenAI | AzureOpenAI): The sync client object.
+            async_client (AsyncOpenAI | AsyncAzureOpenAI): The async client object.
+        """
+        self._sync_client = sync_client
+        self._async_client = async_client
+
+    @property
+    def async_client(self) -> AsyncOpenAI | AsyncAzureOpenAI | None:
+        """
+        Get the asynchronous client used for making API requests.
+
+        Returns
+        -------
+            AsyncOpenAI | AsyncAzureOpenAI: The async client object.
+        """
+        return self._async_client
+
+    @property
+    def sync_client(self) -> OpenAI | AzureOpenAI | None:
+        """
+        Get the synchronous client used for making API requests.
+
+        Returns
+        -------
+            AsyncOpenAI | AsyncAzureOpenAI: The async client object.
+        """
+        return self._sync_client
+
+    @async_client.setter
+    def async_client(self, client: AsyncOpenAI | AsyncAzureOpenAI):
+        """
+        Set the asynchronous client used for making API requests.
+
+        Args:
+            client (AsyncOpenAI | AsyncAzureOpenAI): The async client object.
+        """
+        self._async_client = client
+
+    @sync_client.setter
+    def sync_client(self, client: OpenAI | AzureOpenAI):
+        """
+        Set the synchronous client used for making API requests.
+
+        Args:
+            client (OpenAI | AzureOpenAI): The sync client object.
+        """
+        self._sync_client = client
+
+
+class OpenAILLMImpl(BaseOpenAILLM):
+    """Orchestration OpenAI LLM Implementation."""
+
+    _reporter: StatusReporter = ConsoleStatusReporter()
+
+    def __init__(
+        self,
+        api_key: str | None = None,
+        azure_ad_token_provider: Callable | None = None,
+        deployment_name: str | None = None,
+        api_base: str | None = None,
+        api_version: str | None = None,
+        api_type: OpenaiApiType = OpenaiApiType.OpenAI,
+        organization: str | None = None,
+        max_retries: int = 10,
+        request_timeout: float = 180.0,
+        reporter: StatusReporter | None = None,
+    ):
+        self.api_key = api_key
+        self.azure_ad_token_provider = azure_ad_token_provider
+        self.deployment_name = deployment_name
+        self.api_base = api_base
+        self.api_version = api_version
+        self.api_type = api_type
+        self.organization = organization
+        self.max_retries = max_retries
+        self.request_timeout = request_timeout
+        self.reporter = reporter or ConsoleStatusReporter()
+
+        try:
+            # Create OpenAI sync and async clients
+            super().__init__()
+        except Exception as e:
+            self._reporter.error(
+                message="Failed to create OpenAI client",
+                details={self.__class__.__name__: str(e)},
+            )
+            raise
+
+    def _create_openai_client(self):
+        """Create a new OpenAI client instance."""
+        if self.api_type == OpenaiApiType.AzureOpenAI:
+            if self.api_base is None:
+                msg = "api_base is required for Azure OpenAI"
+                raise ValueError(msg)
+
+            sync_client = AzureOpenAI(
+                api_key=self.api_key,
+                azure_ad_token_provider=self.azure_ad_token_provider,
+                organization=self.organization,
+                # Azure-Specifics
+                api_version=self.api_version,
+                azure_endpoint=self.api_base,
+                azure_deployment=self.deployment_name,
+                # Retry Configuration
+                timeout=self.request_timeout,
+                max_retries=self.max_retries,
+            )
+
+            async_client = AsyncAzureOpenAI(
+                api_key=self.api_key,
+                azure_ad_token_provider=self.azure_ad_token_provider,
+                organization=self.organization,
+                # Azure-Specifics
+                api_version=self.api_version,
+                azure_endpoint=self.api_base,
+                azure_deployment=self.deployment_name,
+                # Retry Configuration
+                timeout=self.request_timeout,
+                max_retries=self.max_retries,
+            )
+            self.set_clients(sync_client=sync_client, async_client=async_client)
+
+        else:
+            sync_client = OpenAI(
+                api_key=self.api_key,
+                base_url=self.api_base,
+                organization=self.organization,
+                # Retry Configuration
+                timeout=self.request_timeout,
+                max_retries=self.max_retries,
+            )
+
+            async_client = AsyncOpenAI(
+                api_key=self.api_key,
+                base_url=self.api_base,
+                organization=self.organization,
+                # Retry Configuration
+                timeout=self.request_timeout,
+                max_retries=self.max_retries,
+            )
+            self.set_clients(sync_client=sync_client, async_client=async_client)
+
+
+class OpenAITextEmbeddingImpl(BaseTextEmbedding):
+    """Orchestration OpenAI Text Embedding Implementation."""
+
+    _reporter: StatusReporter | None = None
+
+    def _create_openai_client(self, api_type: OpenaiApiType):
+        """Create a new synchronous and asynchronous OpenAI client instance."""
diff --git a/graphrag/graphrag/query/llm/oai/chat_openai.py b/graphrag/graphrag/query/llm/oai/chat_openai.py
new file mode 100644
index 0000000000000000000000000000000000000000..92a9755b1072f9e0761dc2649466184e28b56ff7
--- /dev/null
+++ b/graphrag/graphrag/query/llm/oai/chat_openai.py
@@ -0,0 +1,206 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Chat-based OpenAI LLM implementation."""
+
+from collections.abc import Callable
+from typing import Any
+
+from tenacity import (
+    AsyncRetrying,
+    RetryError,
+    Retrying,
+    retry_if_exception_type,
+    stop_after_attempt,
+    wait_exponential_jitter,
+)
+
+from graphrag.query.llm.base import BaseLLM, BaseLLMCallback
+from graphrag.query.llm.oai.base import OpenAILLMImpl
+from graphrag.query.llm.oai.typing import (
+    OPENAI_RETRY_ERROR_TYPES,
+    OpenaiApiType,
+)
+from graphrag.query.progress import StatusReporter
+
+_MODEL_REQUIRED_MSG = "model is required"
+
+
+class ChatOpenAI(BaseLLM, OpenAILLMImpl):
+    """Wrapper for OpenAI ChatCompletion models."""
+
+    def __init__(
+        self,
+        api_key: str | None = None,
+        model: str | None = None,
+        azure_ad_token_provider: Callable | None = None,
+        deployment_name: str | None = None,
+        api_base: str | None = None,
+        api_version: str | None = None,
+        api_type: OpenaiApiType = OpenaiApiType.OpenAI,
+        organization: str | None = None,
+        max_retries: int = 10,
+        request_timeout: float = 180.0,
+        retry_error_types: tuple[type[BaseException]] = OPENAI_RETRY_ERROR_TYPES,  # type: ignore
+        reporter: StatusReporter | None = None,
+    ):
+        OpenAILLMImpl.__init__(
+            self=self,
+            api_key=api_key,
+            azure_ad_token_provider=azure_ad_token_provider,
+            deployment_name=deployment_name,
+            api_base=api_base,
+            api_version=api_version,
+            api_type=api_type,  # type: ignore
+            organization=organization,
+            max_retries=max_retries,
+            request_timeout=request_timeout,
+            reporter=reporter,
+        )
+        self.model = model
+        self.retry_error_types = retry_error_types
+
+    def generate(
+        self,
+        messages: str | list[Any],
+        streaming: bool = True,
+        callbacks: list[BaseLLMCallback] | None = None,
+        **kwargs: Any,
+    ) -> str:
+        """Generate text."""
+        try:
+            retryer = Retrying(
+                stop=stop_after_attempt(self.max_retries),
+                wait=wait_exponential_jitter(max=10),
+                reraise=True,
+                retry=retry_if_exception_type(self.retry_error_types),
+            )
+            for attempt in retryer:
+                with attempt:
+                    return self._generate(
+                        messages=messages,
+                        streaming=streaming,
+                        callbacks=callbacks,
+                        **kwargs,
+                    )
+        except RetryError as e:
+            self._reporter.error(
+                message="Error at generate()", details={self.__class__.__name__: str(e)}
+            )
+            return ""
+        else:
+            # TODO: why not just throw in this case?
+            return ""
+
+    async def agenerate(
+        self,
+        messages: str | list[Any],
+        streaming: bool = True,
+        callbacks: list[BaseLLMCallback] | None = None,
+        **kwargs: Any,
+    ) -> str:
+        """Generate text asynchronously."""
+        try:
+            retryer = AsyncRetrying(
+                stop=stop_after_attempt(self.max_retries),
+                wait=wait_exponential_jitter(max=10),
+                reraise=True,
+                retry=retry_if_exception_type(self.retry_error_types),  # type: ignore
+            )
+            async for attempt in retryer:
+                with attempt:
+                    return await self._agenerate(
+                        messages=messages,
+                        streaming=streaming,
+                        callbacks=callbacks,
+                        **kwargs,
+                    )
+        except RetryError as e:
+            self._reporter.error(f"Error at agenerate(): {e}")
+            return ""
+        else:
+            # TODO: why not just throw in this case?
+            return ""
+
+    def _generate(
+        self,
+        messages: str | list[Any],
+        streaming: bool = True,
+        callbacks: list[BaseLLMCallback] | None = None,
+        **kwargs: Any,
+    ) -> str:
+        model = self.model
+        if not model:
+            raise ValueError(_MODEL_REQUIRED_MSG)
+        response = self.sync_client.chat.completions.create(  # type: ignore
+            model=model,
+            messages=messages,  # type: ignore
+            stream=streaming,
+            **kwargs,
+        )  # type: ignore
+        if streaming:
+            full_response = ""
+            while True:
+                try:
+                    chunk = response.__next__()  # type: ignore
+                    if not chunk or not chunk.choices:
+                        continue
+
+                    delta = (
+                        chunk.choices[0].delta.content
+                        if chunk.choices[0].delta and chunk.choices[0].delta.content
+                        else ""
+                    )  # type: ignore
+
+                    full_response += delta
+                    if callbacks:
+                        for callback in callbacks:
+                            callback.on_llm_new_token(delta)
+                    if chunk.choices[0].finish_reason == "stop":  # type: ignore
+                        break
+                except StopIteration:
+                    break
+            return full_response
+        return response.choices[0].message.content or ""  # type: ignore
+
+    async def _agenerate(
+        self,
+        messages: str | list[Any],
+        streaming: bool = True,
+        callbacks: list[BaseLLMCallback] | None = None,
+        **kwargs: Any,
+    ) -> str:
+        model = self.model
+        if not model:
+            raise ValueError(_MODEL_REQUIRED_MSG)
+        response = await self.async_client.chat.completions.create(  # type: ignore
+            model=model,
+            messages=messages,  # type: ignore
+            stream=streaming,
+            **kwargs,
+        )
+        if streaming:
+            full_response = ""
+            while True:
+                try:
+                    chunk = await response.__anext__()  # type: ignore
+                    if not chunk or not chunk.choices:
+                        continue
+
+                    delta = (
+                        chunk.choices[0].delta.content
+                        if chunk.choices[0].delta and chunk.choices[0].delta.content
+                        else ""
+                    )  # type: ignore
+
+                    full_response += delta
+                    if callbacks:
+                        for callback in callbacks:
+                            callback.on_llm_new_token(delta)
+                    if chunk.choices[0].finish_reason == "stop":  # type: ignore
+                        break
+                except StopIteration:
+                    break
+            return full_response
+
+        return response.choices[0].message.content or ""  # type: ignore
diff --git a/graphrag/graphrag/query/llm/oai/embedding.py b/graphrag/graphrag/query/llm/oai/embedding.py
new file mode 100644
index 0000000000000000000000000000000000000000..f40372dbcea655fb94702156e719ca7ed04cf2e4
--- /dev/null
+++ b/graphrag/graphrag/query/llm/oai/embedding.py
@@ -0,0 +1,182 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""OpenAI Embedding model implementation."""
+
+import asyncio
+from collections.abc import Callable
+from typing import Any
+
+import numpy as np
+import tiktoken
+from tenacity import (
+    AsyncRetrying,
+    RetryError,
+    Retrying,
+    retry_if_exception_type,
+    stop_after_attempt,
+    wait_exponential_jitter,
+)
+
+from graphrag.query.llm.base import BaseTextEmbedding
+from graphrag.query.llm.oai.base import OpenAILLMImpl
+from graphrag.query.llm.oai.typing import (
+    OPENAI_RETRY_ERROR_TYPES,
+    OpenaiApiType,
+)
+from graphrag.query.llm.text_utils import chunk_text
+from graphrag.query.progress import StatusReporter
+
+
+class OpenAIEmbedding(BaseTextEmbedding, OpenAILLMImpl):
+    """Wrapper for OpenAI Embedding models."""
+
+    def __init__(
+        self,
+        api_key: str | None = None,
+        azure_ad_token_provider: Callable | None = None,
+        model: str = "text-embedding-3-small",
+        deployment_name: str | None = None,
+        api_base: str | None = None,
+        api_version: str | None = None,
+        api_type: OpenaiApiType = OpenaiApiType.OpenAI,
+        organization: str | None = None,
+        encoding_name: str = "cl100k_base",
+        max_tokens: int = 8191,
+        max_retries: int = 10,
+        request_timeout: float = 180.0,
+        retry_error_types: tuple[type[BaseException]] = OPENAI_RETRY_ERROR_TYPES,  # type: ignore
+        reporter: StatusReporter | None = None,
+    ):
+        OpenAILLMImpl.__init__(
+            self=self,
+            api_key=api_key,
+            azure_ad_token_provider=azure_ad_token_provider,
+            deployment_name=deployment_name,
+            api_base=api_base,
+            api_version=api_version,
+            api_type=api_type,  # type: ignore
+            organization=organization,
+            max_retries=max_retries,
+            request_timeout=request_timeout,
+            reporter=reporter,
+        )
+
+        self.model = model
+        self.encoding_name = encoding_name
+        self.max_tokens = max_tokens
+        self.token_encoder = tiktoken.get_encoding(self.encoding_name)
+        self.retry_error_types = retry_error_types
+
+    def embed(self, text: str, **kwargs: Any) -> list[float]:
+        """
+        Embed text using OpenAI Embedding's sync function.
+
+        For text longer than max_tokens, chunk texts into max_tokens, embed each chunk, then combine using weighted average.
+        Please refer to: https://github.com/openai/openai-cookbook/blob/main/examples/Embedding_long_inputs.ipynb
+        """
+        token_chunks = chunk_text(
+            text=text, token_encoder=self.token_encoder, max_tokens=self.max_tokens
+        )
+        chunk_embeddings = []
+        chunk_lens = []
+        for chunk in token_chunks:
+            try:
+                embedding, chunk_len = self._embed_with_retry(chunk, **kwargs)
+                chunk_embeddings.append(embedding)
+                chunk_lens.append(chunk_len)
+            # TODO: catch a more specific exception
+            except Exception as e:  # noqa BLE001
+                self._reporter.error(
+                    message="Error embedding chunk",
+                    details={self.__class__.__name__: str(e)},
+                )
+
+                continue
+        chunk_embeddings = np.average(chunk_embeddings, axis=0, weights=chunk_lens)
+        chunk_embeddings = chunk_embeddings / np.linalg.norm(chunk_embeddings)
+        return chunk_embeddings.tolist()
+
+    async def aembed(self, text: str, **kwargs: Any) -> list[float]:
+        """
+        Embed text using OpenAI Embedding's async function.
+
+        For text longer than max_tokens, chunk texts into max_tokens, embed each chunk, then combine using weighted average.
+        """
+        token_chunks = chunk_text(
+            text=text, token_encoder=self.token_encoder, max_tokens=self.max_tokens
+        )
+        chunk_embeddings = []
+        chunk_lens = []
+        embedding_results = await asyncio.gather(*[
+            self._aembed_with_retry(chunk, **kwargs) for chunk in token_chunks
+        ])
+        embedding_results = [result for result in embedding_results if result[0]]
+        chunk_embeddings = [result[0] for result in embedding_results]
+        chunk_lens = [result[1] for result in embedding_results]
+        chunk_embeddings = np.average(chunk_embeddings, axis=0, weights=chunk_lens)  # type: ignore
+        chunk_embeddings = chunk_embeddings / np.linalg.norm(chunk_embeddings)
+        return chunk_embeddings.tolist()
+
+    def _embed_with_retry(
+        self, text: str | tuple, **kwargs: Any
+    ) -> tuple[list[float], int]:
+        try:
+            retryer = Retrying(
+                stop=stop_after_attempt(self.max_retries),
+                wait=wait_exponential_jitter(max=10),
+                reraise=True,
+                retry=retry_if_exception_type(self.retry_error_types),
+            )
+            for attempt in retryer:
+                with attempt:
+                    embedding = (
+                        self.sync_client.embeddings.create(  # type: ignore
+                            input=text,
+                            model=self.model,
+                            **kwargs,  # type: ignore
+                        )
+                        .data[0]
+                        .embedding
+                        or []
+                    )
+                    return (embedding, len(text))
+        except RetryError as e:
+            self._reporter.error(
+                message="Error at embed_with_retry()",
+                details={self.__class__.__name__: str(e)},
+            )
+            return ([], 0)
+        else:
+            # TODO: why not just throw in this case?
+            return ([], 0)
+
+    async def _aembed_with_retry(
+        self, text: str | tuple, **kwargs: Any
+    ) -> tuple[list[float], int]:
+        try:
+            retryer = AsyncRetrying(
+                stop=stop_after_attempt(self.max_retries),
+                wait=wait_exponential_jitter(max=10),
+                reraise=True,
+                retry=retry_if_exception_type(self.retry_error_types),
+            )
+            async for attempt in retryer:
+                with attempt:
+                    embedding = (
+                        await self.async_client.embeddings.create(  # type: ignore
+                            input=text,
+                            model=self.model,
+                            **kwargs,  # type: ignore
+                        )
+                    ).data[0].embedding or []
+                    return (embedding, len(text))
+        except RetryError as e:
+            self._reporter.error(
+                message="Error at embed_with_retry()",
+                details={self.__class__.__name__: str(e)},
+            )
+            return ([], 0)
+        else:
+            # TODO: why not just throw in this case?
+            return ([], 0)
diff --git a/graphrag/graphrag/query/llm/oai/openai.py b/graphrag/graphrag/query/llm/oai/openai.py
new file mode 100644
index 0000000000000000000000000000000000000000..76bb5fe52c9cba35444749e726c866308cb46aee
--- /dev/null
+++ b/graphrag/graphrag/query/llm/oai/openai.py
@@ -0,0 +1,187 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""OpenAI Wrappers for Orchestration."""
+
+import logging
+from typing import Any
+
+from tenacity import (
+    AsyncRetrying,
+    RetryError,
+    Retrying,
+    retry_if_exception_type,
+    stop_after_attempt,
+    wait_exponential_jitter,
+)
+
+from graphrag.query.llm.base import BaseLLMCallback
+from graphrag.query.llm.oai.base import OpenAILLMImpl
+from graphrag.query.llm.oai.typing import (
+    OPENAI_RETRY_ERROR_TYPES,
+    OpenaiApiType,
+)
+
+log = logging.getLogger(__name__)
+
+
+class OpenAI(OpenAILLMImpl):
+    """Wrapper for OpenAI Completion models."""
+
+    def __init__(
+        self,
+        api_key: str,
+        model: str,
+        deployment_name: str | None = None,
+        api_base: str | None = None,
+        api_version: str | None = None,
+        api_type: OpenaiApiType = OpenaiApiType.OpenAI,
+        organization: str | None = None,
+        max_retries: int = 10,
+        retry_error_types: tuple[type[BaseException]] = OPENAI_RETRY_ERROR_TYPES,  # type: ignore
+    ):
+        self.api_key = api_key
+        self.model = model
+        self.deployment_name = deployment_name
+        self.api_base = api_base
+        self.api_version = api_version
+        self.api_type = api_type
+        self.organization = organization
+        self.max_retries = max_retries
+        self.retry_error_types = retry_error_types
+
+    def generate(
+        self,
+        messages: str | list[str],
+        streaming: bool = True,
+        callbacks: list[BaseLLMCallback] | None = None,
+        **kwargs: Any,
+    ) -> str:
+        """Generate text."""
+        try:
+            retryer = Retrying(
+                stop=stop_after_attempt(self.max_retries),
+                wait=wait_exponential_jitter(max=10),
+                reraise=True,
+                retry=retry_if_exception_type(self.retry_error_types),
+            )
+            for attempt in retryer:
+                with attempt:
+                    return self._generate(
+                        messages=messages,
+                        streaming=streaming,
+                        callbacks=callbacks,
+                        **kwargs,
+                    )
+        except RetryError:
+            log.exception("RetryError at generate(): %s")
+            return ""
+        else:
+            # TODO: why not just throw in this case?
+            return ""
+
+    async def agenerate(
+        self,
+        messages: str | list[str],
+        streaming: bool = True,
+        callbacks: list[BaseLLMCallback] | None = None,
+        **kwargs: Any,
+    ) -> str:
+        """Generate Text Asynchronously."""
+        try:
+            retryer = AsyncRetrying(
+                stop=stop_after_attempt(self.max_retries),
+                wait=wait_exponential_jitter(max=10),
+                reraise=True,
+                retry=retry_if_exception_type(self.retry_error_types),
+            )
+            async for attempt in retryer:
+                with attempt:
+                    return await self._agenerate(
+                        messages=messages,
+                        streaming=streaming,
+                        callbacks=callbacks,
+                        **kwargs,
+                    )
+        except RetryError:
+            log.exception("Error at agenerate()")
+            return ""
+        else:
+            # TODO: why not just throw in this case?
+            return ""
+
+    def _generate(
+        self,
+        messages: str | list[str],
+        streaming: bool = True,
+        callbacks: list[BaseLLMCallback] | None = None,
+        **kwargs: Any,
+    ) -> str:
+        response = self.sync_client.chat.completions.create(  # type: ignore
+            model=self.model,
+            messages=messages,  # type: ignore
+            stream=streaming,
+            **kwargs,
+        )  # type: ignore
+        if streaming:
+            full_response = ""
+            while True:
+                try:
+                    chunk = response.__next__()  # type: ignore
+                    if not chunk or not chunk.choices:
+                        continue
+
+                    delta = (
+                        chunk.choices[0].delta.content
+                        if chunk.choices[0].delta and chunk.choices[0].delta.content
+                        else ""
+                    )  # type: ignore
+
+                    full_response += delta
+                    if callbacks:
+                        for callback in callbacks:
+                            callback.on_llm_new_token(delta)
+                    if chunk.choices[0].finish_reason == "stop":  # type: ignore
+                        break
+                except StopIteration:
+                    break
+            return full_response
+        return response.choices[0].message.content or ""  # type: ignore
+
+    async def _agenerate(
+        self,
+        messages: str | list[str],
+        streaming: bool = True,
+        callbacks: list[BaseLLMCallback] | None = None,
+        **kwargs: Any,
+    ) -> str:
+        response = await self.async_client.chat.completions.create(  # type: ignore
+            model=self.model,
+            messages=messages,  # type: ignore
+            stream=streaming,
+            **kwargs,
+        )
+        if streaming:
+            full_response = ""
+            while True:
+                try:
+                    chunk = await response.__anext__()  # type: ignore
+                    if not chunk or not chunk.choices:
+                        continue
+
+                    delta = (
+                        chunk.choices[0].delta.content
+                        if chunk.choices[0].delta and chunk.choices[0].delta.content
+                        else ""
+                    )  # type: ignore
+
+                    full_response += delta
+                    if callbacks:
+                        for callback in callbacks:
+                            callback.on_llm_new_token(delta)
+                    if chunk.choices[0].finish_reason == "stop":  # type: ignore
+                        break
+                except StopIteration:
+                    break
+            return full_response
+        return response.choices[0].message.content or ""  # type: ignore
diff --git a/graphrag/graphrag/query/llm/oai/typing.py b/graphrag/graphrag/query/llm/oai/typing.py
new file mode 100644
index 0000000000000000000000000000000000000000..399a82f6999ebf6f24a6eebbb62f7c9629dde949
--- /dev/null
+++ b/graphrag/graphrag/query/llm/oai/typing.py
@@ -0,0 +1,23 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""OpenAI wrapper options."""
+
+from enum import Enum
+from typing import Any, cast
+
+import openai
+
+OPENAI_RETRY_ERROR_TYPES = (
+    # TODO: update these when we update to OpenAI 1+ library
+    cast(Any, openai).RateLimitError,
+    cast(Any, openai).APIConnectionError,
+    # TODO: replace with comparable OpenAI 1+ error
+)
+
+
+class OpenaiApiType(str, Enum):
+    """The OpenAI Flavor."""
+
+    OpenAI = "openai"
+    AzureOpenAI = "azure"
diff --git a/graphrag/graphrag/query/llm/text_utils.py b/graphrag/graphrag/query/llm/text_utils.py
new file mode 100644
index 0000000000000000000000000000000000000000..d60e630488c2eb83affbb580fa1be19262393f31
--- /dev/null
+++ b/graphrag/graphrag/query/llm/text_utils.py
@@ -0,0 +1,42 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Text Utilities for LLM."""
+
+from collections.abc import Iterator
+from itertools import islice
+
+import tiktoken
+
+
+def num_tokens(text: str, token_encoder: tiktoken.Encoding | None = None) -> int:
+    """Return the number of tokens in the given text."""
+    if token_encoder is None:
+        token_encoder = tiktoken.get_encoding("cl100k_base")
+    return len(token_encoder.encode(text))  # type: ignore
+
+
+def batched(iterable: Iterator, n: int):
+    """
+    Batch data into tuples of length n. The last batch may be shorter.
+
+    Taken from Python's cookbook: https://docs.python.org/3/library/itertools.html#itertools.batched
+    """
+    # batched('ABCDEFG', 3) --> ABC DEF G
+    if n < 1:
+        value_error = "n must be at least one"
+        raise ValueError(value_error)
+    it = iter(iterable)
+    while batch := tuple(islice(it, n)):
+        yield batch
+
+
+def chunk_text(
+    text: str, max_tokens: int, token_encoder: tiktoken.Encoding | None = None
+):
+    """Chunk text by token length."""
+    if token_encoder is None:
+        token_encoder = tiktoken.get_encoding("cl100k_base")
+    tokens = token_encoder.encode(text)  # type: ignore
+    chunk_iterator = batched(iter(tokens), max_tokens)
+    yield from chunk_iterator
diff --git a/graphrag/graphrag/query/progress.py b/graphrag/graphrag/query/progress.py
new file mode 100644
index 0000000000000000000000000000000000000000..ad5bcee7343658242ad9a415c75dcf67c36cd3a2
--- /dev/null
+++ b/graphrag/graphrag/query/progress.py
@@ -0,0 +1,43 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Status Reporter for orchestration."""
+
+from abc import ABCMeta, abstractmethod
+from typing import Any
+
+
+class StatusReporter(metaclass=ABCMeta):
+    """Provides a way to report status updates from the pipeline."""
+
+    @abstractmethod
+    def error(self, message: str, details: dict[str, Any] | None = None):
+        """Report an error."""
+
+    @abstractmethod
+    def warning(self, message: str, details: dict[str, Any] | None = None):
+        """Report a warning."""
+
+    @abstractmethod
+    def log(self, message: str, details: dict[str, Any] | None = None):
+        """Report a log."""
+
+
+class ConsoleStatusReporter(StatusReporter):
+    """A reporter that writes to a console."""
+
+    def error(self, message: str, details: dict[str, Any] | None = None):
+        """Report an error."""
+        print(message, details)  # noqa T201
+
+    def warning(self, message: str, details: dict[str, Any] | None = None):
+        """Report a warning."""
+        _print_warning(message)
+
+    def log(self, message: str, details: dict[str, Any] | None = None):
+        """Report a log."""
+        print(message, details)  # noqa T201
+
+
+def _print_warning(skk):
+    print(f"\033[93m {skk}\033[00m")  # noqa T201
diff --git a/graphrag/graphrag/query/question_gen/__init__.py b/graphrag/graphrag/query/question_gen/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..d7329277c25e2ef20838d981a3f29f8a24316f91
--- /dev/null
+++ b/graphrag/graphrag/query/question_gen/__init__.py
@@ -0,0 +1,4 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Question Generation Module."""
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diff --git a/graphrag/graphrag/query/question_gen/__pycache__/system_prompt.cpython-310.pyc b/graphrag/graphrag/query/question_gen/__pycache__/system_prompt.cpython-310.pyc
new file mode 100644
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diff --git a/graphrag/graphrag/query/question_gen/base.py b/graphrag/graphrag/query/question_gen/base.py
new file mode 100644
index 0000000000000000000000000000000000000000..959b63d79134275ac07ac70733bc8ec63521098c
--- /dev/null
+++ b/graphrag/graphrag/query/question_gen/base.py
@@ -0,0 +1,65 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Base classes for generating questions based on previously asked questions and most recent context data."""
+
+from abc import ABC, abstractmethod
+from dataclasses import dataclass
+from typing import Any
+
+import tiktoken
+
+from graphrag.query.context_builder.builders import (
+    GlobalContextBuilder,
+    LocalContextBuilder,
+)
+from graphrag.query.llm.base import BaseLLM
+
+
+@dataclass
+class QuestionResult:
+    """A Structured Question Result."""
+
+    response: list[str]
+    context_data: str | dict[str, Any]
+    completion_time: float
+    llm_calls: int
+    prompt_tokens: int
+
+
+class BaseQuestionGen(ABC):
+    """The Base Question Gen implementation."""
+
+    def __init__(
+        self,
+        llm: BaseLLM,
+        context_builder: GlobalContextBuilder | LocalContextBuilder,
+        token_encoder: tiktoken.Encoding | None = None,
+        llm_params: dict[str, Any] | None = None,
+        context_builder_params: dict[str, Any] | None = None,
+    ):
+        self.llm = llm
+        self.context_builder = context_builder
+        self.token_encoder = token_encoder
+        self.llm_params = llm_params or {}
+        self.context_builder_params = context_builder_params or {}
+
+    @abstractmethod
+    def generate(
+        self,
+        question_history: list[str],
+        context_data: str | None,
+        question_count: int,
+        **kwargs,
+    ) -> QuestionResult:
+        """Generate questions."""
+
+    @abstractmethod
+    async def agenerate(
+        self,
+        question_history: list[str],
+        context_data: str | None,
+        question_count: int,
+        **kwargs,
+    ) -> QuestionResult:
+        """Generate questions asynchronously."""
diff --git a/graphrag/graphrag/query/question_gen/local_gen.py b/graphrag/graphrag/query/question_gen/local_gen.py
new file mode 100644
index 0000000000000000000000000000000000000000..ca703a66e34833074f027968af2b9584f215ae07
--- /dev/null
+++ b/graphrag/graphrag/query/question_gen/local_gen.py
@@ -0,0 +1,194 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Local question generation."""
+
+import logging
+import time
+from typing import Any
+
+import tiktoken
+
+from graphrag.query.context_builder.builders import LocalContextBuilder
+from graphrag.query.context_builder.conversation_history import (
+    ConversationHistory,
+)
+from graphrag.query.llm.base import BaseLLM, BaseLLMCallback
+from graphrag.query.llm.text_utils import num_tokens
+from graphrag.query.question_gen.base import BaseQuestionGen, QuestionResult
+from graphrag.query.question_gen.system_prompt import QUESTION_SYSTEM_PROMPT
+
+log = logging.getLogger(__name__)
+
+
+class LocalQuestionGen(BaseQuestionGen):
+    """Search orchestration for global search mode."""
+
+    def __init__(
+        self,
+        llm: BaseLLM,
+        context_builder: LocalContextBuilder,
+        token_encoder: tiktoken.Encoding | None = None,
+        system_prompt: str = QUESTION_SYSTEM_PROMPT,
+        callbacks: list[BaseLLMCallback] | None = None,
+        llm_params: dict[str, Any] | None = None,
+        context_builder_params: dict[str, Any] | None = None,
+    ):
+        super().__init__(
+            llm=llm,
+            context_builder=context_builder,
+            token_encoder=token_encoder,
+            llm_params=llm_params,
+            context_builder_params=context_builder_params,
+        )
+        self.system_prompt = system_prompt
+        self.callbacks = callbacks
+
+    async def agenerate(
+        self,
+        question_history: list[str],
+        context_data: str | None,
+        question_count: int,
+        **kwargs,
+    ) -> QuestionResult:
+        """
+        Generate a question based on the question history and context data.
+
+        If context data is not provided, it will be generated by the local context builder
+        """
+        start_time = time.time()
+
+        if len(question_history) == 0:
+            question_text = ""
+            conversation_history = None
+        else:
+            # construct current query and conversation history
+            question_text = question_history[-1]
+            history = [
+                {"role": "user", "content": query} for query in question_history[:-1]
+            ]
+            conversation_history = ConversationHistory.from_list(history)
+
+        if context_data is None:
+            # generate context data based on the question history
+            context_data, context_records = self.context_builder.build_context(
+                query=question_text,
+                conversation_history=conversation_history,
+                **kwargs,
+                **self.context_builder_params,
+            )  # type: ignore
+        else:
+            context_records = {"context_data": context_data}
+        log.info("GENERATE QUESTION: %s. LAST QUESTION: %s", start_time, question_text)
+        system_prompt = ""
+        try:
+            system_prompt = self.system_prompt.format(
+                context_data=context_data, question_count=question_count
+            )
+            question_messages = [
+                {"role": "system", "content": system_prompt},
+                {"role": "user", "content": question_text},
+            ]
+
+            response = await self.llm.agenerate(
+                messages=question_messages,
+                streaming=True,
+                callbacks=self.callbacks,
+                **self.llm_params,
+            )
+
+            return QuestionResult(
+                response=response.split("\n"),
+                context_data={
+                    "question_context": question_text,
+                    **context_records,
+                },
+                completion_time=time.time() - start_time,
+                llm_calls=1,
+                prompt_tokens=num_tokens(system_prompt, self.token_encoder),
+            )
+
+        except Exception:
+            log.exception("Exception in generating question")
+            return QuestionResult(
+                response=[],
+                context_data=context_records,
+                completion_time=time.time() - start_time,
+                llm_calls=1,
+                prompt_tokens=num_tokens(system_prompt, self.token_encoder),
+            )
+
+    def generate(
+        self,
+        question_history: list[str],
+        context_data: str | None,
+        question_count: int,
+        **kwargs,
+    ) -> QuestionResult:
+        """
+        Generate a question based on the question history and context data.
+
+        If context data is not provided, it will be generated by the local context builder
+        """
+        start_time = time.time()
+        if len(question_history) == 0:
+            question_text = ""
+            conversation_history = None
+        else:
+            # construct current query and conversation history
+            question_text = question_history[-1]
+            history = [
+                {"role": "user", "content": query} for query in question_history[:-1]
+            ]
+            conversation_history = ConversationHistory.from_list(history)
+
+        if context_data is None:
+            # generate context data based on the question history
+            context_data, context_records = self.context_builder.build_context(
+                query=question_text,
+                conversation_history=conversation_history,
+                **kwargs,
+                **self.context_builder_params,
+            )  # type: ignore
+        else:
+            context_records = {"context_data": context_data}
+        log.info(
+            "GENERATE QUESTION: %s. QUESTION HISTORY: %s", start_time, question_text
+        )
+        system_prompt = ""
+        try:
+            system_prompt = self.system_prompt.format(
+                context_data=context_data, question_count=question_count
+            )
+            question_messages = [
+                {"role": "system", "content": system_prompt},
+                {"role": "user", "content": question_text},
+            ]
+
+            response = self.llm.generate(
+                messages=question_messages,
+                streaming=True,
+                callbacks=self.callbacks,
+                **self.llm_params,
+            )
+
+            return QuestionResult(
+                response=response.split("\n"),
+                context_data={
+                    "question_context": question_text,
+                    **context_records,
+                },
+                completion_time=time.time() - start_time,
+                llm_calls=1,
+                prompt_tokens=num_tokens(system_prompt, self.token_encoder),
+            )
+
+        except Exception:
+            log.exception("Exception in generating questions")
+            return QuestionResult(
+                response=[],
+                context_data=context_records,
+                completion_time=time.time() - start_time,
+                llm_calls=1,
+                prompt_tokens=num_tokens(system_prompt, self.token_encoder),
+            )
diff --git a/graphrag/graphrag/query/question_gen/system_prompt.py b/graphrag/graphrag/query/question_gen/system_prompt.py
new file mode 100644
index 0000000000000000000000000000000000000000..904ede2435307ad4fde3e16798cacd50906a107b
--- /dev/null
+++ b/graphrag/graphrag/query/question_gen/system_prompt.py
@@ -0,0 +1,28 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Question Generation system prompts."""
+
+QUESTION_SYSTEM_PROMPT = """
+---Role---
+
+You are a helpful assistant generating a bulleted list of {question_count} questions about data in the tables provided.
+
+
+---Data tables---
+
+{context_data}
+
+
+---Goal---
+
+Given a series of example questions provided by the user, generate a bulleted list of {question_count} candidates for the next question. Use - marks as bullet points.
+
+These candidate questions should represent the most important or urgent information content or themes in the data tables.
+
+The candidate questions should be answerable using the data tables provided, but should not mention any specific data fields or data tables in the question text.
+
+If the user's questions reference several named entities, then each candidate question should reference all named entities.
+
+---Example questions---
+"""
diff --git a/graphrag/graphrag/query/structured_search/__init__.py b/graphrag/graphrag/query/structured_search/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..b41baaf340404151dd0228298bd5a43adcd77ccb
--- /dev/null
+++ b/graphrag/graphrag/query/structured_search/__init__.py
@@ -0,0 +1,4 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Structured Search package."""
diff --git a/graphrag/graphrag/query/structured_search/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/query/structured_search/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/query/structured_search/base.py b/graphrag/graphrag/query/structured_search/base.py
new file mode 100644
index 0000000000000000000000000000000000000000..6dd02485f8b09ca718cc19f13856557731618399
--- /dev/null
+++ b/graphrag/graphrag/query/structured_search/base.py
@@ -0,0 +1,69 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Base classes for search algos."""
+
+from abc import ABC, abstractmethod
+from dataclasses import dataclass
+from typing import Any
+
+import pandas as pd
+import tiktoken
+
+from graphrag.query.context_builder.builders import (
+    GlobalContextBuilder,
+    LocalContextBuilder,
+)
+from graphrag.query.context_builder.conversation_history import (
+    ConversationHistory,
+)
+from graphrag.query.llm.base import BaseLLM
+
+
+@dataclass
+class SearchResult:
+    """A Structured Search Result."""
+
+    response: str | dict[str, Any] | list[dict[str, Any]]
+    context_data: str | list[pd.DataFrame] | dict[str, pd.DataFrame]
+    # actual text strings that are in the context window, built from context_data
+    context_text: str | list[str] | dict[str, str]
+    completion_time: float
+    llm_calls: int
+    prompt_tokens: int
+
+
+class BaseSearch(ABC):
+    """The Base Search implementation."""
+
+    def __init__(
+        self,
+        llm: BaseLLM,
+        context_builder: GlobalContextBuilder | LocalContextBuilder,
+        token_encoder: tiktoken.Encoding | None = None,
+        llm_params: dict[str, Any] | None = None,
+        context_builder_params: dict[str, Any] | None = None,
+    ):
+        self.llm = llm
+        self.context_builder = context_builder
+        self.token_encoder = token_encoder
+        self.llm_params = llm_params or {}
+        self.context_builder_params = context_builder_params or {}
+
+    @abstractmethod
+    def search(
+        self,
+        query: str,
+        conversation_history: ConversationHistory | None = None,
+        **kwargs,
+    ) -> SearchResult:
+        """Search for the given query."""
+
+    @abstractmethod
+    async def asearch(
+        self,
+        query: str,
+        conversation_history: ConversationHistory | None = None,
+        **kwargs,
+    ) -> SearchResult:
+        """Search for the given query asynchronously."""
diff --git a/graphrag/graphrag/query/structured_search/global_search/__init__.py b/graphrag/graphrag/query/structured_search/global_search/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..ba73b6090039ecf8f852449eb219b753dd7ab559
--- /dev/null
+++ b/graphrag/graphrag/query/structured_search/global_search/__init__.py
@@ -0,0 +1,4 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""GlobalSearch module."""
diff --git a/graphrag/graphrag/query/structured_search/global_search/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/query/structured_search/global_search/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/query/structured_search/global_search/callbacks.py b/graphrag/graphrag/query/structured_search/global_search/callbacks.py
new file mode 100644
index 0000000000000000000000000000000000000000..f48bb79b828f6b9bd3adaa6fa7fafab1227a8c1e
--- /dev/null
+++ b/graphrag/graphrag/query/structured_search/global_search/callbacks.py
@@ -0,0 +1,24 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""GlobalSearch LLM Callbacks."""
+
+from graphrag.query.llm.base import BaseLLMCallback
+from graphrag.query.structured_search.base import SearchResult
+
+
+class GlobalSearchLLMCallback(BaseLLMCallback):
+    """GlobalSearch LLM Callbacks."""
+
+    def __init__(self):
+        super().__init__()
+        self.map_response_contexts = []
+        self.map_response_outputs = []
+
+    def on_map_response_start(self, map_response_contexts: list[str]):
+        """Handle the start of map response."""
+        self.map_response_contexts = map_response_contexts
+
+    def on_map_response_end(self, map_response_outputs: list[SearchResult]):
+        """Handle the end of map response."""
+        self.map_response_outputs = map_response_outputs
diff --git a/graphrag/graphrag/query/structured_search/global_search/community_context.py b/graphrag/graphrag/query/structured_search/global_search/community_context.py
new file mode 100644
index 0000000000000000000000000000000000000000..d63320c85ba9355f6d875c6344bc4a7ace329434
--- /dev/null
+++ b/graphrag/graphrag/query/structured_search/global_search/community_context.py
@@ -0,0 +1,99 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Contains algorithms to build context data for global search prompt."""
+
+from typing import Any
+
+import pandas as pd
+import tiktoken
+
+from graphrag.model import CommunityReport, Entity
+from graphrag.query.context_builder.community_context import (
+    build_community_context,
+)
+from graphrag.query.context_builder.conversation_history import (
+    ConversationHistory,
+)
+from graphrag.query.structured_search.base import GlobalContextBuilder
+
+
+class GlobalCommunityContext(GlobalContextBuilder):
+    """GlobalSearch community context builder."""
+
+    def __init__(
+        self,
+        community_reports: list[CommunityReport],
+        entities: list[Entity] | None = None,
+        token_encoder: tiktoken.Encoding | None = None,
+        random_state: int = 86,
+    ):
+        self.community_reports = community_reports
+        self.entities = entities
+        self.token_encoder = token_encoder
+        self.random_state = random_state
+
+    def build_context(
+        self,
+        conversation_history: ConversationHistory | None = None,
+        use_community_summary: bool = True,
+        column_delimiter: str = "|",
+        shuffle_data: bool = True,
+        include_community_rank: bool = False,
+        min_community_rank: int = 0,
+        community_rank_name: str = "rank",
+        include_community_weight: bool = True,
+        community_weight_name: str = "occurrence",
+        normalize_community_weight: bool = True,
+        max_tokens: int = 8000,
+        context_name: str = "Reports",
+        conversation_history_user_turns_only: bool = True,
+        conversation_history_max_turns: int | None = 5,
+        **kwargs: Any,
+    ) -> tuple[str | list[str], dict[str, pd.DataFrame]]:
+        """Prepare batches of community report data table as context data for global search."""
+        conversation_history_context = ""
+        final_context_data = {}
+        if conversation_history:
+            # build conversation history context
+            (
+                conversation_history_context,
+                conversation_history_context_data,
+            ) = conversation_history.build_context(
+                include_user_turns_only=conversation_history_user_turns_only,
+                max_qa_turns=conversation_history_max_turns,
+                column_delimiter=column_delimiter,
+                max_tokens=max_tokens,
+                recency_bias=False,
+            )
+            if conversation_history_context != "":
+                final_context_data = conversation_history_context_data
+
+        community_context, community_context_data = build_community_context(
+            community_reports=self.community_reports,
+            entities=self.entities,
+            token_encoder=self.token_encoder,
+            use_community_summary=use_community_summary,
+            column_delimiter=column_delimiter,
+            shuffle_data=shuffle_data,
+            include_community_rank=include_community_rank,
+            min_community_rank=min_community_rank,
+            community_rank_name=community_rank_name,
+            include_community_weight=include_community_weight,
+            community_weight_name=community_weight_name,
+            normalize_community_weight=normalize_community_weight,
+            max_tokens=max_tokens,
+            single_batch=False,
+            context_name=context_name,
+            random_state=self.random_state,
+        )
+        if isinstance(community_context, list):
+            final_context = [
+                f"{conversation_history_context}\n\n{context}"
+                for context in community_context
+            ]
+        else:
+            final_context = f"{conversation_history_context}\n\n{community_context}"
+
+        final_context_data.update(community_context_data)
+        return (final_context, final_context_data)
diff --git a/graphrag/graphrag/query/structured_search/global_search/map_system_prompt.py b/graphrag/graphrag/query/structured_search/global_search/map_system_prompt.py
new file mode 100644
index 0000000000000000000000000000000000000000..db1a649df336f5a83971017d5eb45e02345d8372
--- /dev/null
+++ b/graphrag/graphrag/query/structured_search/global_search/map_system_prompt.py
@@ -0,0 +1,82 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""System prompts for global search."""
+
+MAP_SYSTEM_PROMPT = """
+---Role---
+
+You are a helpful assistant responding to questions about data in the tables provided.
+
+
+---Goal---
+
+Generate a response consisting of a list of key points that responds to the user's question, summarizing all relevant information in the input data tables.
+
+You should use the data provided in the data tables below as the primary context for generating the response.
+If you don't know the answer or if the input data tables do not contain sufficient information to provide an answer, just say so. Do not make anything up.
+
+Each key point in the response should have the following element:
+- Description: A comprehensive description of the point.
+- Importance Score: An integer score between 0-100 that indicates how important the point is in answering the user's question. An 'I don't know' type of response should have a score of 0.
+
+The response should be JSON formatted as follows:
+{{
+    "points": [
+        {{"description": "Description of point 1 [Data: Reports (report ids)]", "score": score_value}},
+        {{"description": "Description of point 2 [Data: Reports (report ids)]", "score": score_value}}
+    ]
+}}
+
+The response shall preserve the original meaning and use of modal verbs such as "shall", "may" or "will".
+
+Points supported by data should list the relevant reports as references as follows:
+"This is an example sentence supported by data references [Data: Reports (report ids)]"
+
+**Do not list more than 5 record ids in a single reference**. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more.
+
+For example:
+"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Reports (2, 7, 64, 46, 34, +more)]. He is also CEO of company X [Data: Reports (1, 3)]"
+
+where 1, 2, 3, 7, 34, 46, and 64 represent the id (not the index) of the relevant data report in the provided tables.
+
+Do not include information where the supporting evidence for it is not provided.
+
+
+---Data tables---
+
+{context_data}
+
+---Goal---
+
+Generate a response consisting of a list of key points that responds to the user's question, summarizing all relevant information in the input data tables.
+
+You should use the data provided in the data tables below as the primary context for generating the response.
+If you don't know the answer or if the input data tables do not contain sufficient information to provide an answer, just say so. Do not make anything up.
+
+Each key point in the response should have the following element:
+- Description: A comprehensive description of the point.
+- Importance Score: An integer score between 0-100 that indicates how important the point is in answering the user's question. An 'I don't know' type of response should have a score of 0.
+
+The response shall preserve the original meaning and use of modal verbs such as "shall", "may" or "will".
+
+Points supported by data should list the relevant reports as references as follows:
+"This is an example sentence supported by data references [Data: Reports (report ids)]"
+
+**Do not list more than 5 record ids in a single reference**. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more.
+
+For example:
+"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Reports (2, 7, 64, 46, 34, +more)]. He is also CEO of company X [Data: Reports (1, 3)]"
+
+where 1, 2, 3, 7, 34, 46, and 64 represent the id (not the index) of the relevant data report in the provided tables.
+
+Do not include information where the supporting evidence for it is not provided.
+
+The response should be JSON formatted as follows:
+{{
+    "points": [
+        {{"description": "Description of point 1 [Data: Reports (report ids)]", "score": score_value}},
+        {{"description": "Description of point 2 [Data: Reports (report ids)]", "score": score_value}}
+    ]
+}}
+"""
diff --git a/graphrag/graphrag/query/structured_search/global_search/reduce_system_prompt.py b/graphrag/graphrag/query/structured_search/global_search/reduce_system_prompt.py
new file mode 100644
index 0000000000000000000000000000000000000000..701717817c99975c935697a68e3f6024ad06e91a
--- /dev/null
+++ b/graphrag/graphrag/query/structured_search/global_search/reduce_system_prompt.py
@@ -0,0 +1,88 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Global Search system prompts."""
+
+REDUCE_SYSTEM_PROMPT = """
+---Role---
+
+You are a helpful assistant responding to questions about a dataset by synthesizing perspectives from multiple analysts.
+
+
+---Goal---
+
+Generate a response of the target length and format that responds to the user's question, summarize all the reports from multiple analysts who focused on different parts of the dataset.
+
+Note that the analysts' reports provided below are ranked in the **descending order of importance**.
+
+If you don't know the answer or if the provided reports do not contain sufficient information to provide an answer, just say so. Do not make anything up.
+
+The final response should remove all irrelevant information from the analysts' reports and merge the cleaned information into a comprehensive answer that provides explanations of all the key points and implications appropriate for the response length and format.
+
+Add sections and commentary to the response as appropriate for the length and format. Style the response in markdown.
+
+The response shall preserve the original meaning and use of modal verbs such as "shall", "may" or "will".
+
+The response should also preserve all the data references previously included in the analysts' reports, but do not mention the roles of multiple analysts in the analysis process.
+
+**Do not list more than 5 record ids in a single reference**. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more.
+
+For example:
+
+"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Reports (2, 7, 34, 46, 64, +more)]. He is also CEO of company X [Data: Reports (1, 3)]"
+
+where 1, 2, 3, 7, 34, 46, and 64 represent the id (not the index) of the relevant data record.
+
+Do not include information where the supporting evidence for it is not provided.
+
+
+---Target response length and format---
+
+{response_type}
+
+
+---Analyst Reports---
+
+{report_data}
+
+
+---Goal---
+
+Generate a response of the target length and format that responds to the user's question, summarize all the reports from multiple analysts who focused on different parts of the dataset.
+
+Note that the analysts' reports provided below are ranked in the **descending order of importance**.
+
+If you don't know the answer or if the provided reports do not contain sufficient information to provide an answer, just say so. Do not make anything up.
+
+The final response should remove all irrelevant information from the analysts' reports and merge the cleaned information into a comprehensive answer that provides explanations of all the key points and implications appropriate for the response length and format.
+
+The response shall preserve the original meaning and use of modal verbs such as "shall", "may" or "will".
+
+The response should also preserve all the data references previously included in the analysts' reports, but do not mention the roles of multiple analysts in the analysis process.
+
+**Do not list more than 5 record ids in a single reference**. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more.
+
+For example:
+
+"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Reports (2, 7, 34, 46, 64, +more)]. He is also CEO of company X [Data: Reports (1, 3)]"
+
+where 1, 2, 3, 7, 34, 46, and 64 represent the id (not the index) of the relevant data record.
+
+Do not include information where the supporting evidence for it is not provided.
+
+
+---Target response length and format---
+
+{response_type}
+
+Add sections and commentary to the response as appropriate for the length and format. Style the response in markdown.
+"""
+
+NO_DATA_ANSWER = (
+    "I am sorry but I am unable to answer this question given the provided data."
+)
+
+GENERAL_KNOWLEDGE_INSTRUCTION = """
+The response may also include relevant real-world knowledge outside the dataset, but it must be explicitly annotated with a verification tag [LLM: verify]. For example:
+"This is an example sentence supported by real-world knowledge [LLM: verify]."
+"""
diff --git a/graphrag/graphrag/query/structured_search/global_search/search.py b/graphrag/graphrag/query/structured_search/global_search/search.py
new file mode 100644
index 0000000000000000000000000000000000000000..3b52ecbd8ca8f0ea08316b2cdfa334950fe201d1
--- /dev/null
+++ b/graphrag/graphrag/query/structured_search/global_search/search.py
@@ -0,0 +1,347 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The GlobalSearch Implementation."""
+
+import asyncio
+import json
+import logging
+import time
+from dataclasses import dataclass
+from typing import Any
+
+import pandas as pd
+import tiktoken
+
+from graphrag.index.utils.json import clean_up_json
+from graphrag.query.context_builder.builders import GlobalContextBuilder
+from graphrag.query.context_builder.conversation_history import (
+    ConversationHistory,
+)
+from graphrag.query.llm.base import BaseLLM
+from graphrag.query.llm.text_utils import num_tokens
+from graphrag.query.structured_search.base import BaseSearch, SearchResult
+from graphrag.query.structured_search.global_search.callbacks import (
+    GlobalSearchLLMCallback,
+)
+from graphrag.query.structured_search.global_search.map_system_prompt import (
+    MAP_SYSTEM_PROMPT,
+)
+from graphrag.query.structured_search.global_search.reduce_system_prompt import (
+    GENERAL_KNOWLEDGE_INSTRUCTION,
+    NO_DATA_ANSWER,
+    REDUCE_SYSTEM_PROMPT,
+)
+
+DEFAULT_MAP_LLM_PARAMS = {
+    "max_tokens": 1000,
+    "temperature": 0.0,
+}
+
+DEFAULT_REDUCE_LLM_PARAMS = {
+    "max_tokens": 2000,
+    "temperature": 0.0,
+}
+
+log = logging.getLogger(__name__)
+
+
+@dataclass
+class GlobalSearchResult(SearchResult):
+    """A GlobalSearch result."""
+
+    map_responses: list[SearchResult]
+    reduce_context_data: str | list[pd.DataFrame] | dict[str, pd.DataFrame]
+    reduce_context_text: str | list[str] | dict[str, str]
+
+
+class GlobalSearch(BaseSearch):
+    """Search orchestration for global search mode."""
+
+    def __init__(
+        self,
+        llm: BaseLLM,
+        context_builder: GlobalContextBuilder,
+        token_encoder: tiktoken.Encoding | None = None,
+        map_system_prompt: str = MAP_SYSTEM_PROMPT,
+        reduce_system_prompt: str = REDUCE_SYSTEM_PROMPT,
+        response_type: str = "multiple paragraphs",
+        allow_general_knowledge: bool = False,
+        general_knowledge_inclusion_prompt: str = GENERAL_KNOWLEDGE_INSTRUCTION,
+        json_mode: bool = True,
+        callbacks: list[GlobalSearchLLMCallback] | None = None,
+        max_data_tokens: int = 8000,
+        map_llm_params: dict[str, Any] = DEFAULT_MAP_LLM_PARAMS,
+        reduce_llm_params: dict[str, Any] = DEFAULT_REDUCE_LLM_PARAMS,
+        context_builder_params: dict[str, Any] | None = None,
+        concurrent_coroutines: int = 32,
+    ):
+        super().__init__(
+            llm=llm,
+            context_builder=context_builder,
+            token_encoder=token_encoder,
+            context_builder_params=context_builder_params,
+        )
+        self.map_system_prompt = map_system_prompt
+        self.reduce_system_prompt = reduce_system_prompt
+        self.response_type = response_type
+        self.allow_general_knowledge = allow_general_knowledge
+        self.general_knowledge_inclusion_prompt = general_knowledge_inclusion_prompt
+        self.callbacks = callbacks
+        self.max_data_tokens = max_data_tokens
+
+        self.map_llm_params = map_llm_params
+        self.reduce_llm_params = reduce_llm_params
+        if json_mode:
+            self.map_llm_params["response_format"] = {"type": "json_object"}
+        else:
+            # remove response_format key if json_mode is False
+            self.map_llm_params.pop("response_format", None)
+
+        self.semaphore = asyncio.Semaphore(concurrent_coroutines)
+
+    async def asearch(
+        self,
+        query: str,
+        conversation_history: ConversationHistory | None = None,
+        **kwargs: Any,
+    ) -> GlobalSearchResult:
+        """
+        Perform a global search.
+
+        Global search mode includes two steps:
+
+        - Step 1: Run parallel LLM calls on communities' short summaries to generate answer for each batch
+        - Step 2: Combine the answers from step 2 to generate the final answer
+        """
+        # Step 1: Generate answers for each batch of community short summaries
+        start_time = time.time()
+        context_chunks, context_records = self.context_builder.build_context(
+            conversation_history=conversation_history, **self.context_builder_params
+        )
+
+        if self.callbacks:
+            for callback in self.callbacks:
+                callback.on_map_response_start(context_chunks)  # type: ignore
+        map_responses = await asyncio.gather(*[
+            self._map_response_single_batch(
+                context_data=data, query=query, **self.map_llm_params
+            )
+            for data in context_chunks
+        ])
+        if self.callbacks:
+            for callback in self.callbacks:
+                callback.on_map_response_end(map_responses)
+        map_llm_calls = sum(response.llm_calls for response in map_responses)
+        map_prompt_tokens = sum(response.prompt_tokens for response in map_responses)
+
+        # Step 2: Combine the intermediate answers from step 2 to generate the final answer
+        reduce_response = await self._reduce_response(
+            map_responses=map_responses,
+            query=query,
+            **self.reduce_llm_params,
+        )
+
+        return GlobalSearchResult(
+            response=reduce_response.response,
+            context_data=context_records,
+            context_text=context_chunks,
+            map_responses=map_responses,
+            reduce_context_data=reduce_response.context_data,
+            reduce_context_text=reduce_response.context_text,
+            completion_time=time.time() - start_time,
+            llm_calls=map_llm_calls + reduce_response.llm_calls,
+            prompt_tokens=map_prompt_tokens + reduce_response.prompt_tokens,
+        )
+
+    def search(
+        self,
+        query: str,
+        conversation_history: ConversationHistory | None = None,
+        **kwargs: Any,
+    ) -> GlobalSearchResult:
+        """Perform a global search synchronously."""
+        return asyncio.run(self.asearch(query, conversation_history))
+
+    async def _map_response_single_batch(
+        self,
+        context_data: str,
+        query: str,
+        **llm_kwargs,
+    ) -> SearchResult:
+        """Generate answer for a single chunk of community reports."""
+        start_time = time.time()
+        search_prompt = ""
+        try:
+            search_prompt = self.map_system_prompt.format(context_data=context_data)
+            search_messages = [
+                {"role": "system", "content": search_prompt},
+                {"role": "user", "content": query},
+            ]
+            async with self.semaphore:
+                search_response = await self.llm.agenerate(
+                    messages=search_messages, streaming=False, **llm_kwargs
+                )
+                log.info("Map response: %s", search_response)
+            try:
+                # parse search response json
+                processed_response = self.parse_search_response(search_response)
+            except ValueError:
+                # Clean up and retry parse
+                search_response = clean_up_json(search_response)
+                try:
+                    # parse search response json
+                    processed_response = self.parse_search_response(search_response)
+                except ValueError:
+                    log.exception("Error parsing search response json")
+                    processed_response = []
+
+            return SearchResult(
+                response=processed_response,
+                context_data=context_data,
+                context_text=context_data,
+                completion_time=time.time() - start_time,
+                llm_calls=1,
+                prompt_tokens=num_tokens(search_prompt, self.token_encoder),
+            )
+
+        except Exception:
+            log.exception("Exception in _map_response_single_batch")
+            return SearchResult(
+                response=[{"answer": "", "score": 0}],
+                context_data=context_data,
+                context_text=context_data,
+                completion_time=time.time() - start_time,
+                llm_calls=1,
+                prompt_tokens=num_tokens(search_prompt, self.token_encoder),
+            )
+
+    def parse_search_response(self, search_response: str) -> list[dict[str, Any]]:
+        """Parse the search response json and return a list of key points.
+
+        Parameters
+        ----------
+        search_response: str
+            The search response json string
+
+        Returns
+        -------
+        list[dict[str, Any]]
+            A list of key points, each key point is a dictionary with "answer" and "score" keys
+        """
+        parsed_elements = json.loads(search_response)["points"]
+        return [
+            {
+                "answer": element["description"],
+                "score": int(element["score"]),
+            }
+            for element in parsed_elements
+        ]
+
+    async def _reduce_response(
+        self,
+        map_responses: list[SearchResult],
+        query: str,
+        **llm_kwargs,
+    ) -> SearchResult:
+        """Combine all intermediate responses from single batches into a final answer to the user query."""
+        text_data = ""
+        search_prompt = ""
+        start_time = time.time()
+        try:
+            # collect all key points into a single list to prepare for sorting
+            key_points = []
+            for index, response in enumerate(map_responses):
+                if not isinstance(response.response, list):
+                    continue
+                for element in response.response:
+                    if not isinstance(element, dict):
+                        continue
+                    if "answer" not in element or "score" not in element:
+                        continue
+                    key_points.append({
+                        "analyst": index,
+                        "answer": element["answer"],
+                        "score": element["score"],
+                    })
+
+            # filter response with score = 0 and rank responses by descending order of score
+            filtered_key_points = [
+                point
+                for point in key_points
+                if point["score"] > 0  # type: ignore
+            ]
+
+            if len(filtered_key_points) == 0 and not self.allow_general_knowledge:
+                # return no data answer if no key points are found
+                return SearchResult(
+                    response=NO_DATA_ANSWER,
+                    context_data="",
+                    context_text="",
+                    completion_time=time.time() - start_time,
+                    llm_calls=0,
+                    prompt_tokens=0,
+                )
+
+            filtered_key_points = sorted(
+                filtered_key_points,
+                key=lambda x: x["score"],  # type: ignore
+                reverse=True,  # type: ignore
+            )
+
+            data = []
+            total_tokens = 0
+            for point in filtered_key_points:
+                formatted_response_data = []
+                formatted_response_data.append(
+                    f'----Analyst {point["analyst"] + 1}----'
+                )
+                formatted_response_data.append(
+                    f'Importance Score: {point["score"]}'  # type: ignore
+                )
+                formatted_response_data.append(point["answer"])  # type: ignore
+                formatted_response_text = "\n".join(formatted_response_data)
+                if (
+                    total_tokens
+                    + num_tokens(formatted_response_text, self.token_encoder)
+                    > self.max_data_tokens
+                ):
+                    break
+                data.append(formatted_response_text)
+                total_tokens += num_tokens(formatted_response_text, self.token_encoder)
+            text_data = "\n\n".join(data)
+
+            search_prompt = self.reduce_system_prompt.format(
+                report_data=text_data, response_type=self.response_type
+            )
+            if self.allow_general_knowledge:
+                search_prompt += "\n" + self.general_knowledge_inclusion_prompt
+            search_messages = [
+                {"role": "system", "content": search_prompt},
+                {"role": "user", "content": query},
+            ]
+
+            search_response = await self.llm.agenerate(
+                search_messages,
+                streaming=True,
+                callbacks=self.callbacks,  # type: ignore
+                **llm_kwargs,  # type: ignore
+            )
+            return SearchResult(
+                response=search_response,
+                context_data=text_data,
+                context_text=text_data,
+                completion_time=time.time() - start_time,
+                llm_calls=1,
+                prompt_tokens=num_tokens(search_prompt, self.token_encoder),
+            )
+        except Exception:
+            log.exception("Exception in reduce_response")
+            return SearchResult(
+                response="",
+                context_data=text_data,
+                context_text=text_data,
+                completion_time=time.time() - start_time,
+                llm_calls=1,
+                prompt_tokens=num_tokens(search_prompt, self.token_encoder),
+            )
diff --git a/graphrag/graphrag/query/structured_search/local_search/__init__.py b/graphrag/graphrag/query/structured_search/local_search/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..8b8b1e790e0006d71bbbadeba7b751fa263bd894
--- /dev/null
+++ b/graphrag/graphrag/query/structured_search/local_search/__init__.py
@@ -0,0 +1,4 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The LocalSearch package."""
diff --git a/graphrag/graphrag/query/structured_search/local_search/__pycache__/__init__.cpython-310.pyc b/graphrag/graphrag/query/structured_search/local_search/__pycache__/__init__.cpython-310.pyc
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diff --git a/graphrag/graphrag/query/structured_search/local_search/__pycache__/system_prompt.cpython-310.pyc b/graphrag/graphrag/query/structured_search/local_search/__pycache__/system_prompt.cpython-310.pyc
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diff --git a/graphrag/graphrag/query/structured_search/local_search/mixed_context.py b/graphrag/graphrag/query/structured_search/local_search/mixed_context.py
new file mode 100644
index 0000000000000000000000000000000000000000..117101e913597bcf4772d3a453939fa531d61cf9
--- /dev/null
+++ b/graphrag/graphrag/query/structured_search/local_search/mixed_context.py
@@ -0,0 +1,497 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+"""Algorithms to build context data for local search prompt."""
+
+import logging
+from typing import Any
+
+import pandas as pd
+import tiktoken
+
+from graphrag.model import (
+    CommunityReport,
+    Covariate,
+    Entity,
+    Relationship,
+    TextUnit,
+)
+from graphrag.query.context_builder.community_context import (
+    build_community_context,
+)
+from graphrag.query.context_builder.conversation_history import (
+    ConversationHistory,
+)
+from graphrag.query.context_builder.entity_extraction import (
+    EntityVectorStoreKey,
+    map_query_to_entities,
+)
+from graphrag.query.context_builder.local_context import (
+    build_covariates_context,
+    build_entity_context,
+    build_relationship_context,
+    get_candidate_context,
+)
+from graphrag.query.context_builder.source_context import (
+    build_text_unit_context,
+    count_relationships,
+)
+from graphrag.query.input.retrieval.community_reports import (
+    get_candidate_communities,
+)
+from graphrag.query.input.retrieval.text_units import get_candidate_text_units
+from graphrag.query.llm.base import BaseTextEmbedding
+from graphrag.query.llm.text_utils import num_tokens
+from graphrag.query.structured_search.base import LocalContextBuilder
+from graphrag.vector_stores import BaseVectorStore
+
+log = logging.getLogger(__name__)
+
+
+class LocalSearchMixedContext(LocalContextBuilder):
+    """Build data context for local search prompt combining community reports and entity/relationship/covariate tables."""
+
+    def __init__(
+        self,
+        entities: list[Entity],
+        entity_text_embeddings: BaseVectorStore,
+        text_embedder: BaseTextEmbedding,
+        text_units: list[TextUnit] | None = None,
+        community_reports: list[CommunityReport] | None = None,
+        relationships: list[Relationship] | None = None,
+        covariates: dict[str, list[Covariate]] | None = None,
+        token_encoder: tiktoken.Encoding | None = None,
+        embedding_vectorstore_key: str = EntityVectorStoreKey.ID,
+    ):
+        if community_reports is None:
+            community_reports = []
+        if relationships is None:
+            relationships = []
+        if covariates is None:
+            covariates = {}
+        if text_units is None:
+            text_units = []
+        self.entities = {entity.id: entity for entity in entities}
+        self.community_reports = {
+            community.id: community for community in community_reports
+        }
+        self.text_units = {unit.id: unit for unit in text_units}
+        self.relationships = {
+            relationship.id: relationship for relationship in relationships
+        }
+        self.covariates = covariates
+        self.entity_text_embeddings = entity_text_embeddings
+        self.text_embedder = text_embedder
+        self.token_encoder = token_encoder
+        self.embedding_vectorstore_key = embedding_vectorstore_key
+
+    def filter_by_entity_keys(self, entity_keys: list[int] | list[str]):
+        """Filter entity text embeddings by entity keys."""
+        self.entity_text_embeddings.filter_by_id(entity_keys)
+
+    def build_context(
+        self,
+        query: str,
+        conversation_history: ConversationHistory | None = None,
+        include_entity_names: list[str] | None = None,
+        exclude_entity_names: list[str] | None = None,
+        conversation_history_max_turns: int | None = 5,
+        conversation_history_user_turns_only: bool = True,
+        max_tokens: int = 8000,
+        text_unit_prop: float = 0.5,
+        community_prop: float = 0.25,
+        top_k_mapped_entities: int = 10,
+        top_k_relationships: int = 10,
+        include_community_rank: bool = False,
+        include_entity_rank: bool = False,
+        rank_description: str = "number of relationships",
+        include_relationship_weight: bool = False,
+        relationship_ranking_attribute: str = "rank",
+        return_candidate_context: bool = False,
+        use_community_summary: bool = False,
+        min_community_rank: int = 0,
+        community_context_name: str = "Reports",
+        column_delimiter: str = "|",
+        **kwargs: dict[str, Any],
+    ) -> tuple[str | list[str], dict[str, pd.DataFrame]]:
+        """
+        Build data context for local search prompt.
+
+        Build a context by combining community reports and entity/relationship/covariate tables, and text units using a predefined ratio set by summary_prop.
+        """
+        if include_entity_names is None:
+            include_entity_names = []
+        if exclude_entity_names is None:
+            exclude_entity_names = []
+        if community_prop + text_unit_prop > 1:
+            value_error = (
+                "The sum of community_prop and text_unit_prop should not exceed 1."
+            )
+            raise ValueError(value_error)
+
+        # map user query to entities
+        # if there is conversation history, attached the previous user questions to the current query
+        if conversation_history:
+            pre_user_questions = "\n".join(
+                conversation_history.get_user_turns(conversation_history_max_turns)
+            )
+            query = f"{query}\n{pre_user_questions}"
+
+        selected_entities = map_query_to_entities(
+            query=query,
+            text_embedding_vectorstore=self.entity_text_embeddings,
+            text_embedder=self.text_embedder,
+            all_entities=list(self.entities.values()),
+            embedding_vectorstore_key=self.embedding_vectorstore_key,
+            include_entity_names=include_entity_names,
+            exclude_entity_names=exclude_entity_names,
+            k=top_k_mapped_entities,
+            oversample_scaler=2,
+        )
+
+        # build context
+        final_context = list[str]()
+        final_context_data = dict[str, pd.DataFrame]()
+
+        if conversation_history:
+            # build conversation history context
+            (
+                conversation_history_context,
+                conversation_history_context_data,
+            ) = conversation_history.build_context(
+                include_user_turns_only=conversation_history_user_turns_only,
+                max_qa_turns=conversation_history_max_turns,
+                column_delimiter=column_delimiter,
+                max_tokens=max_tokens,
+                recency_bias=False,
+            )
+            if conversation_history_context.strip() != "":
+                final_context.append(conversation_history_context)
+                final_context_data = conversation_history_context_data
+                max_tokens = max_tokens - num_tokens(
+                    conversation_history_context, self.token_encoder
+                )
+
+        # build community context
+        community_tokens = max(int(max_tokens * community_prop), 0)
+        community_context, community_context_data = self._build_community_context(
+            selected_entities=selected_entities,
+            max_tokens=community_tokens,
+            use_community_summary=use_community_summary,
+            column_delimiter=column_delimiter,
+            include_community_rank=include_community_rank,
+            min_community_rank=min_community_rank,
+            return_candidate_context=return_candidate_context,
+            context_name=community_context_name,
+        )
+        if community_context.strip() != "":
+            final_context.append(community_context)
+            final_context_data = {**final_context_data, **community_context_data}
+
+        # build local (i.e. entity-relationship-covariate) context
+        local_prop = 1 - community_prop - text_unit_prop
+        local_tokens = max(int(max_tokens * local_prop), 0)
+        local_context, local_context_data = self._build_local_context(
+            selected_entities=selected_entities,
+            max_tokens=local_tokens,
+            include_entity_rank=include_entity_rank,
+            rank_description=rank_description,
+            include_relationship_weight=include_relationship_weight,
+            top_k_relationships=top_k_relationships,
+            relationship_ranking_attribute=relationship_ranking_attribute,
+            return_candidate_context=return_candidate_context,
+            column_delimiter=column_delimiter,
+        )
+        if local_context.strip() != "":
+            final_context.append(str(local_context))
+            final_context_data = {**final_context_data, **local_context_data}
+
+        # build text unit context
+        text_unit_tokens = max(int(max_tokens * text_unit_prop), 0)
+        text_unit_context, text_unit_context_data = self._build_text_unit_context(
+            selected_entities=selected_entities,
+            max_tokens=text_unit_tokens,
+            return_candidate_context=return_candidate_context,
+        )
+        if text_unit_context.strip() != "":
+            final_context.append(text_unit_context)
+            final_context_data = {**final_context_data, **text_unit_context_data}
+
+        return ("\n\n".join(final_context), final_context_data)
+
+    def _build_community_context(
+        self,
+        selected_entities: list[Entity],
+        max_tokens: int = 4000,
+        use_community_summary: bool = False,
+        column_delimiter: str = "|",
+        include_community_rank: bool = False,
+        min_community_rank: int = 0,
+        return_candidate_context: bool = False,
+        context_name: str = "Reports",
+    ) -> tuple[str, dict[str, pd.DataFrame]]:
+        """Add community data to the context window until it hits the max_tokens limit."""
+        if len(selected_entities) == 0 or len(self.community_reports) == 0:
+            return ("", {context_name.lower(): pd.DataFrame()})
+
+        community_matches = {}
+        for entity in selected_entities:
+            # increase count of the community that this entity belongs to
+            if entity.community_ids:
+                for community_id in entity.community_ids:
+                    community_matches[community_id] = (
+                        community_matches.get(community_id, 0) + 1
+                    )
+
+        # sort communities by number of matched entities and rank
+        selected_communities = [
+            self.community_reports[community_id]
+            for community_id in community_matches
+            if community_id in self.community_reports
+        ]
+        for community in selected_communities:
+            if community.attributes is None:
+                community.attributes = {}
+            community.attributes["matches"] = community_matches[community.id]
+        selected_communities.sort(
+            key=lambda x: (x.attributes["matches"], x.rank),  # type: ignore
+            reverse=True,  # type: ignore
+        )
+        for community in selected_communities:
+            del community.attributes["matches"]  # type: ignore
+
+        context_text, context_data = build_community_context(
+            community_reports=selected_communities,
+            token_encoder=self.token_encoder,
+            use_community_summary=use_community_summary,
+            column_delimiter=column_delimiter,
+            shuffle_data=False,
+            include_community_rank=include_community_rank,
+            min_community_rank=min_community_rank,
+            max_tokens=max_tokens,
+            single_batch=True,
+            context_name=context_name,
+        )
+        if isinstance(context_text, list) and len(context_text) > 0:
+            context_text = "\n\n".join(context_text)
+
+        if return_candidate_context:
+            candidate_context_data = get_candidate_communities(
+                selected_entities=selected_entities,
+                community_reports=list(self.community_reports.values()),
+                use_community_summary=use_community_summary,
+                include_community_rank=include_community_rank,
+            )
+            context_key = context_name.lower()
+            if context_key not in context_data:
+                context_data[context_key] = candidate_context_data
+                context_data[context_key]["in_context"] = False
+            else:
+                if (
+                    "id" in candidate_context_data.columns
+                    and "id" in context_data[context_key].columns
+                ):
+                    candidate_context_data["in_context"] = candidate_context_data[
+                        "id"
+                    ].isin(  # cspell:disable-line
+                        context_data[context_key]["id"]
+                    )
+                    context_data[context_key] = candidate_context_data
+                else:
+                    context_data[context_key]["in_context"] = True
+        return (str(context_text), context_data)
+
+    def _build_text_unit_context(
+        self,
+        selected_entities: list[Entity],
+        max_tokens: int = 8000,
+        return_candidate_context: bool = False,
+        column_delimiter: str = "|",
+        context_name: str = "Sources",
+    ) -> tuple[str, dict[str, pd.DataFrame]]:
+        """Rank matching text units and add them to the context window until it hits the max_tokens limit."""
+        if len(selected_entities) == 0 or len(self.text_units) == 0:
+            return ("", {context_name.lower(): pd.DataFrame()})
+
+        selected_text_units = list[TextUnit]()
+        # for each matching text unit, rank first by the order of the entities that match it, then by the number of matching relationships
+        # that the text unit has with the matching entities
+        for index, entity in enumerate(selected_entities):
+            if entity.text_unit_ids:
+                for text_id in entity.text_unit_ids:
+                    if (
+                        text_id not in [unit.id for unit in selected_text_units]
+                        and text_id in self.text_units
+                    ):
+                        selected_unit = self.text_units[text_id]
+                        num_relationships = count_relationships(
+                            selected_unit, entity, self.relationships
+                        )
+                        if selected_unit.attributes is None:
+                            selected_unit.attributes = {}
+                        selected_unit.attributes["entity_order"] = index
+                        selected_unit.attributes["num_relationships"] = (
+                            num_relationships
+                        )
+                        selected_text_units.append(selected_unit)
+
+        # sort selected text units by ascending order of entity order and descending order of number of relationships
+        selected_text_units.sort(
+            key=lambda x: (
+                x.attributes["entity_order"],  # type: ignore
+                -x.attributes["num_relationships"],  # type: ignore
+            )
+        )
+
+        for unit in selected_text_units:
+            del unit.attributes["entity_order"]  # type: ignore
+            del unit.attributes["num_relationships"]  # type: ignore
+
+        context_text, context_data = build_text_unit_context(
+            text_units=selected_text_units,
+            token_encoder=self.token_encoder,
+            max_tokens=max_tokens,
+            shuffle_data=False,
+            context_name=context_name,
+            column_delimiter=column_delimiter,
+        )
+
+        if return_candidate_context:
+            candidate_context_data = get_candidate_text_units(
+                selected_entities=selected_entities,
+                text_units=list(self.text_units.values()),
+            )
+            context_key = context_name.lower()
+            if context_key not in context_data:
+                context_data[context_key] = candidate_context_data
+                context_data[context_key]["in_context"] = False
+            else:
+                if (
+                    "id" in candidate_context_data.columns
+                    and "id" in context_data[context_key].columns
+                ):
+                    candidate_context_data["in_context"] = candidate_context_data[
+                        "id"
+                    ].isin(  # cspell:disable-line
+                        context_data[context_key]["id"]
+                    )
+                    context_data[context_key] = candidate_context_data
+                else:
+                    context_data[context_key]["in_context"] = True
+        return (str(context_text), context_data)
+
+    def _build_local_context(
+        self,
+        selected_entities: list[Entity],
+        max_tokens: int = 8000,
+        include_entity_rank: bool = False,
+        rank_description: str = "relationship count",
+        include_relationship_weight: bool = False,
+        top_k_relationships: int = 10,
+        relationship_ranking_attribute: str = "rank",
+        return_candidate_context: bool = False,
+        column_delimiter: str = "|",
+    ) -> tuple[str, dict[str, pd.DataFrame]]:
+        """Build data context for local search prompt combining entity/relationship/covariate tables."""
+        # build entity context
+        entity_context, entity_context_data = build_entity_context(
+            selected_entities=selected_entities,
+            token_encoder=self.token_encoder,
+            max_tokens=max_tokens,
+            column_delimiter=column_delimiter,
+            include_entity_rank=include_entity_rank,
+            rank_description=rank_description,
+            context_name="Entities",
+        )
+        entity_tokens = num_tokens(entity_context, self.token_encoder)
+
+        # build relationship-covariate context
+        added_entities = []
+        final_context = []
+        final_context_data = {}
+
+        # gradually add entities and associated metadata to the context until we reach limit
+        for entity in selected_entities:
+            current_context = []
+            current_context_data = {}
+            added_entities.append(entity)
+
+            # build relationship context
+            (
+                relationship_context,
+                relationship_context_data,
+            ) = build_relationship_context(
+                selected_entities=added_entities,
+                relationships=list(self.relationships.values()),
+                token_encoder=self.token_encoder,
+                max_tokens=max_tokens,
+                column_delimiter=column_delimiter,
+                top_k_relationships=top_k_relationships,
+                include_relationship_weight=include_relationship_weight,
+                relationship_ranking_attribute=relationship_ranking_attribute,
+                context_name="Relationships",
+            )
+            current_context.append(relationship_context)
+            current_context_data["relationships"] = relationship_context_data
+            total_tokens = entity_tokens + num_tokens(
+                relationship_context, self.token_encoder
+            )
+
+            # build covariate context
+            for covariate in self.covariates:
+                covariate_context, covariate_context_data = build_covariates_context(
+                    selected_entities=added_entities,
+                    covariates=self.covariates[covariate],
+                    token_encoder=self.token_encoder,
+                    max_tokens=max_tokens,
+                    column_delimiter=column_delimiter,
+                    context_name=covariate,
+                )
+                total_tokens += num_tokens(covariate_context, self.token_encoder)
+                current_context.append(covariate_context)
+                current_context_data[covariate.lower()] = covariate_context_data
+
+            if total_tokens > max_tokens:
+                log.info("Reached token limit - reverting to previous context state")
+                break
+
+            final_context = current_context
+            final_context_data = current_context_data
+
+        # attach entity context to final context
+        final_context_text = entity_context + "\n\n" + "\n\n".join(final_context)
+        final_context_data["entities"] = entity_context_data
+
+        if return_candidate_context:
+            # we return all the candidate entities/relationships/covariates (not only those that were fitted into the context window)
+            # and add a tag to indicate which records were included in the context window
+            candidate_context_data = get_candidate_context(
+                selected_entities=selected_entities,
+                entities=list(self.entities.values()),
+                relationships=list(self.relationships.values()),
+                covariates=self.covariates,
+                include_entity_rank=include_entity_rank,
+                entity_rank_description=rank_description,
+                include_relationship_weight=include_relationship_weight,
+            )
+            for key in candidate_context_data:
+                candidate_df = candidate_context_data[key]
+                if key not in final_context_data:
+                    final_context_data[key] = candidate_df
+                    final_context_data[key]["in_context"] = False
+                else:
+                    in_context_df = final_context_data[key]
+
+                    if "id" in in_context_df.columns and "id" in candidate_df.columns:
+                        candidate_df["in_context"] = candidate_df[
+                            "id"
+                        ].isin(  # cspell:disable-line
+                            in_context_df["id"]
+                        )
+                        final_context_data[key] = candidate_df
+                    else:
+                        final_context_data[key]["in_context"] = True
+
+        else:
+            for key in final_context_data:
+                final_context_data[key]["in_context"] = True
+        return (final_context_text, final_context_data)
diff --git a/graphrag/graphrag/query/structured_search/local_search/search.py b/graphrag/graphrag/query/structured_search/local_search/search.py
new file mode 100644
index 0000000000000000000000000000000000000000..80dd6670041ba15fe760b482b689335b3d6a7dbf
--- /dev/null
+++ b/graphrag/graphrag/query/structured_search/local_search/search.py
@@ -0,0 +1,159 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""LocalSearch implementation."""
+
+import logging
+import time
+from typing import Any
+
+import tiktoken
+
+from graphrag.query.context_builder.builders import LocalContextBuilder
+from graphrag.query.context_builder.conversation_history import (
+    ConversationHistory,
+)
+from graphrag.query.llm.base import BaseLLM, BaseLLMCallback
+from graphrag.query.llm.text_utils import num_tokens
+from graphrag.query.structured_search.base import BaseSearch, SearchResult
+from graphrag.query.structured_search.local_search.system_prompt import (
+    LOCAL_SEARCH_SYSTEM_PROMPT,
+)
+
+DEFAULT_LLM_PARAMS = {
+    "max_tokens": 1500,
+    "temperature": 0.0,
+}
+
+log = logging.getLogger(__name__)
+
+
+class LocalSearch(BaseSearch):
+    """Search orchestration for local search mode."""
+
+    def __init__(
+        self,
+        llm: BaseLLM,
+        context_builder: LocalContextBuilder,
+        token_encoder: tiktoken.Encoding | None = None,
+        system_prompt: str = LOCAL_SEARCH_SYSTEM_PROMPT,
+        response_type: str = "multiple paragraphs",
+        callbacks: list[BaseLLMCallback] | None = None,
+        llm_params: dict[str, Any] = DEFAULT_LLM_PARAMS,
+        context_builder_params: dict | None = None,
+    ):
+        super().__init__(
+            llm=llm,
+            context_builder=context_builder,
+            token_encoder=token_encoder,
+            llm_params=llm_params,
+            context_builder_params=context_builder_params or {},
+        )
+        self.system_prompt = system_prompt
+        self.callbacks = callbacks
+        self.response_type = response_type
+
+    async def asearch(
+        self,
+        query: str,
+        conversation_history: ConversationHistory | None = None,
+        **kwargs,
+    ) -> SearchResult:
+        """Build local search context that fits a single context window and generate answer for the user query."""
+        start_time = time.time()
+        search_prompt = ""
+
+        context_text, context_records = self.context_builder.build_context(
+            query=query,
+            conversation_history=conversation_history,
+            **kwargs,
+            **self.context_builder_params,
+        )
+        log.info("GENERATE ANSWER: %s. QUERY: %s", start_time, query)
+        try:
+            search_prompt = self.system_prompt.format(
+                context_data=context_text, response_type=self.response_type
+            )
+            search_messages = [
+                {"role": "system", "content": search_prompt},
+                {"role": "user", "content": query},
+            ]
+
+            response = await self.llm.agenerate(
+                messages=search_messages,
+                streaming=True,
+                callbacks=self.callbacks,
+                **self.llm_params,
+            )
+
+            return SearchResult(
+                response=response,
+                context_data=context_records,
+                context_text=context_text,
+                completion_time=time.time() - start_time,
+                llm_calls=1,
+                prompt_tokens=num_tokens(search_prompt, self.token_encoder),
+            )
+
+        except Exception:
+            log.exception("Exception in _asearch")
+            return SearchResult(
+                response="",
+                context_data=context_records,
+                context_text=context_text,
+                completion_time=time.time() - start_time,
+                llm_calls=1,
+                prompt_tokens=num_tokens(search_prompt, self.token_encoder),
+            )
+
+    def search(
+        self,
+        query: str,
+        conversation_history: ConversationHistory | None = None,
+        **kwargs,
+    ) -> SearchResult:
+        """Build local search context that fits a single context window and generate answer for the user question."""
+        start_time = time.time()
+        search_prompt = ""
+        context_text, context_records = self.context_builder.build_context(
+            query=query,
+            conversation_history=conversation_history,
+            **kwargs,
+            **self.context_builder_params,
+        )
+        log.info("GENERATE ANSWER: %d. QUERY: %s", start_time, query)
+        try:
+            search_prompt = self.system_prompt.format(
+                context_data=context_text, response_type=self.response_type
+            )
+            search_messages = [
+                {"role": "system", "content": search_prompt},
+                {"role": "user", "content": query},
+            ]
+
+            response = self.llm.generate(
+                messages=search_messages,
+                streaming=True,
+                callbacks=self.callbacks,
+                **self.llm_params,
+            )
+
+            return SearchResult(
+                response=response,
+                context_data=context_records,
+                context_text=context_text,
+                completion_time=time.time() - start_time,
+                llm_calls=1,
+                prompt_tokens=num_tokens(search_prompt, self.token_encoder),
+            )
+
+        except Exception:
+            log.exception("Exception in _map_response_single_batch")
+            return SearchResult(
+                response="",
+                context_data=context_records,
+                context_text=context_text,
+                completion_time=time.time() - start_time,
+                llm_calls=1,
+                prompt_tokens=num_tokens(search_prompt, self.token_encoder),
+            )
diff --git a/graphrag/graphrag/query/structured_search/local_search/system_prompt.py b/graphrag/graphrag/query/structured_search/local_search/system_prompt.py
new file mode 100644
index 0000000000000000000000000000000000000000..70b1d12fc3883811d033a681bba04154eacc249f
--- /dev/null
+++ b/graphrag/graphrag/query/structured_search/local_search/system_prompt.py
@@ -0,0 +1,69 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Local search system prompts."""
+
+LOCAL_SEARCH_SYSTEM_PROMPT = """
+---Role---
+
+You are a helpful assistant responding to questions about data in the tables provided.
+
+
+---Goal---
+
+Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge.
+
+If you don't know the answer, just say so. Do not make anything up.
+
+Points supported by data should list their data references as follows:
+
+"This is an example sentence supported by multiple data references [Data: <dataset name> (record ids); <dataset name> (record ids)]."
+
+Do not list more than 5 record ids in a single reference. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more.
+
+For example:
+
+"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Sources (15, 16), Reports (1), Entities (5, 7); Relationships (23); Claims (2, 7, 34, 46, 64, +more)]."
+
+where 15, 16, 1, 5, 7, 23, 2, 7, 34, 46, and 64 represent the id (not the index) of the relevant data record.
+
+Do not include information where the supporting evidence for it is not provided.
+
+
+---Target response length and format---
+
+{response_type}
+
+
+---Data tables---
+
+{context_data}
+
+
+---Goal---
+
+Generate a response of the target length and format that responds to the user's question, summarizing all information in the input data tables appropriate for the response length and format, and incorporating any relevant general knowledge.
+
+If you don't know the answer, just say so. Do not make anything up.
+
+Points supported by data should list their data references as follows:
+
+"This is an example sentence supported by multiple data references [Data: <dataset name> (record ids); <dataset name> (record ids)]."
+
+Do not list more than 5 record ids in a single reference. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more.
+
+For example:
+
+"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Sources (15, 16), Reports (1), Entities (5, 7); Relationships (23); Claims (2, 7, 34, 46, 64, +more)]."
+
+where 15, 16, 1, 5, 7, 23, 2, 7, 34, 46, and 64 represent the id (not the index) of the relevant data record.
+
+Do not include information where the supporting evidence for it is not provided.
+
+
+---Target response length and format---
+
+{response_type}
+
+Add sections and commentary to the response as appropriate for the length and format. Style the response in markdown.
+"""
diff --git a/graphrag/graphrag/vector_stores/__init__.py b/graphrag/graphrag/vector_stores/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..d4c11760aab9c29d020f7bb3053453971bdd9935
--- /dev/null
+++ b/graphrag/graphrag/vector_stores/__init__.py
@@ -0,0 +1,19 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A package containing vector-storage implementations."""
+
+from .azure_ai_search import AzureAISearch
+from .base import BaseVectorStore, VectorStoreDocument, VectorStoreSearchResult
+from .lancedb import LanceDBVectorStore
+from .typing import VectorStoreFactory, VectorStoreType
+
+__all__ = [
+    "AzureAISearch",
+    "BaseVectorStore",
+    "LanceDBVectorStore",
+    "VectorStoreDocument",
+    "VectorStoreFactory",
+    "VectorStoreSearchResult",
+    "VectorStoreType",
+]
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diff --git a/graphrag/graphrag/vector_stores/azure_ai_search.py b/graphrag/graphrag/vector_stores/azure_ai_search.py
new file mode 100644
index 0000000000000000000000000000000000000000..c503fca1c1b0160feef31dad4820c69e79a2e401
--- /dev/null
+++ b/graphrag/graphrag/vector_stores/azure_ai_search.py
@@ -0,0 +1,194 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A package containing the Azure AI Search  vector store implementation."""
+
+import json
+from typing import Any
+
+from azure.core.credentials import AzureKeyCredential
+from azure.identity import DefaultAzureCredential
+from azure.search.documents import SearchClient
+from azure.search.documents.indexes import SearchIndexClient
+from azure.search.documents.indexes.models import (
+    HnswAlgorithmConfiguration,
+    HnswParameters,
+    SearchableField,
+    SearchField,
+    SearchFieldDataType,
+    SearchIndex,
+    SimpleField,
+    VectorSearch,
+    VectorSearchAlgorithmMetric,
+    VectorSearchProfile,
+)
+from azure.search.documents.models import VectorizedQuery
+
+from graphrag.model.types import TextEmbedder
+
+from .base import (
+    DEFAULT_VECTOR_SIZE,
+    BaseVectorStore,
+    VectorStoreDocument,
+    VectorStoreSearchResult,
+)
+
+
+class AzureAISearch(BaseVectorStore):
+    """The Azure AI Search vector storage implementation."""
+
+    index_client: SearchIndexClient
+
+    def connect(self, **kwargs: Any) -> Any:
+        """Connect to the AzureAI vector store."""
+        url = kwargs.get("url", None)
+        api_key = kwargs.get("api_key", None)
+        audience = kwargs.get("audience", None)
+        self.vector_size = kwargs.get("vector_size", DEFAULT_VECTOR_SIZE)
+
+        self.vector_search_profile_name = kwargs.get(
+            "vector_search_profile_name", "vectorSearchProfile"
+        )
+
+        if url:
+            audience_arg = {"audience": audience} if audience else {}
+            self.db_connection = SearchClient(
+                endpoint=url,
+                index_name=self.collection_name,
+                credential=AzureKeyCredential(api_key)
+                if api_key
+                else DefaultAzureCredential(),
+                **audience_arg,
+            )
+            self.index_client = SearchIndexClient(
+                endpoint=url,
+                credential=AzureKeyCredential(api_key)
+                if api_key
+                else DefaultAzureCredential(),
+                **audience_arg,
+            )
+        else:
+            not_supported_error = "AAISearchDBClient is not supported on local host."
+            raise ValueError(not_supported_error)
+
+    def load_documents(
+        self, documents: list[VectorStoreDocument], overwrite: bool = True
+    ) -> None:
+        """Load documents into the Azure AI Search index."""
+        if overwrite:
+            if self.collection_name in self.index_client.list_index_names():
+                self.index_client.delete_index(self.collection_name)
+
+            # Configure the vector search profile
+            vector_search = VectorSearch(
+                algorithms=[
+                    HnswAlgorithmConfiguration(
+                        name="HnswAlg",
+                        parameters=HnswParameters(
+                            metric=VectorSearchAlgorithmMetric.COSINE
+                        ),
+                    )
+                ],
+                profiles=[
+                    VectorSearchProfile(
+                        name=self.vector_search_profile_name,
+                        algorithm_configuration_name="HnswAlg",
+                    )
+                ],
+            )
+
+            index = SearchIndex(
+                name=self.collection_name,
+                fields=[
+                    SimpleField(
+                        name="id",
+                        type=SearchFieldDataType.String,
+                        key=True,
+                    ),
+                    SearchField(
+                        name="vector",
+                        type=SearchFieldDataType.Collection(SearchFieldDataType.Single),
+                        searchable=True,
+                        vector_search_dimensions=self.vector_size,
+                        vector_search_profile_name=self.vector_search_profile_name,
+                    ),
+                    SearchableField(name="text", type=SearchFieldDataType.String),
+                    SimpleField(
+                        name="attributes",
+                        type=SearchFieldDataType.String,
+                    ),
+                ],
+                vector_search=vector_search,
+            )
+
+            self.index_client.create_or_update_index(
+                index,
+            )
+
+        batch = [
+            {
+                "id": doc.id,
+                "vector": doc.vector,
+                "text": doc.text,
+                "attributes": json.dumps(doc.attributes),
+            }
+            for doc in documents
+            if doc.vector is not None
+        ]
+
+        if batch and len(batch) > 0:
+            self.db_connection.upload_documents(batch)
+
+    def filter_by_id(self, include_ids: list[str] | list[int]) -> Any:
+        """Build a query filter to filter documents by a list of ids."""
+        if include_ids is None or len(include_ids) == 0:
+            self.query_filter = None
+            # Returning to keep consistency with other methods, but not needed
+            return self.query_filter
+
+        # More info about odata filtering here: https://learn.microsoft.com/en-us/azure/search/search-query-odata-search-in-function
+        # search.in is faster that joined and/or conditions
+        id_filter = ",".join([f"{id!s}" for id in include_ids])
+        self.query_filter = f"search.in(id, '{id_filter}', ',')"
+
+        # Returning to keep consistency with other methods, but not needed
+        # TODO: Refactor on a future PR
+        return self.query_filter
+
+    def similarity_search_by_vector(
+        self, query_embedding: list[float], k: int = 10, **kwargs: Any
+    ) -> list[VectorStoreSearchResult]:
+        """Perform a vector-based similarity search."""
+        vectorized_query = VectorizedQuery(
+            vector=query_embedding, k_nearest_neighbors=k, fields="vector"
+        )
+
+        response = self.db_connection.search(
+            vector_queries=[vectorized_query],
+        )
+
+        return [
+            VectorStoreSearchResult(
+                document=VectorStoreDocument(
+                    id=doc.get("id", ""),
+                    text=doc.get("text", ""),
+                    vector=doc.get("vector", []),
+                    attributes=(json.loads(doc.get("attributes", "{}"))),
+                ),
+                # Cosine similarity between 0.333 and 1.000
+                # https://learn.microsoft.com/en-us/azure/search/hybrid-search-ranking#scores-in-a-hybrid-search-results
+                score=doc["@search.score"],
+            )
+            for doc in response
+        ]
+
+    def similarity_search_by_text(
+        self, text: str, text_embedder: TextEmbedder, k: int = 10, **kwargs: Any
+    ) -> list[VectorStoreSearchResult]:
+        """Perform a text-based similarity search."""
+        query_embedding = text_embedder(text)
+        if query_embedding:
+            return self.similarity_search_by_vector(
+                query_embedding=query_embedding, k=k
+            )
+        return []
diff --git a/graphrag/graphrag/vector_stores/base.py b/graphrag/graphrag/vector_stores/base.py
new file mode 100644
index 0000000000000000000000000000000000000000..38f0e584fc022180a48274611f16c521b3b13161
--- /dev/null
+++ b/graphrag/graphrag/vector_stores/base.py
@@ -0,0 +1,81 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""Base classes for vector stores."""
+
+from abc import ABC, abstractmethod
+from dataclasses import dataclass, field
+from typing import Any
+
+from graphrag.model.types import TextEmbedder
+
+DEFAULT_VECTOR_SIZE: int = 1536
+
+
+@dataclass
+class VectorStoreDocument:
+    """A document that is stored in vector storage."""
+
+    id: str | int
+    """unique id for the document"""
+
+    text: str | None
+    vector: list[float] | None
+
+    attributes: dict[str, Any] = field(default_factory=dict)
+    """store any additional metadata, e.g. title, date ranges, etc"""
+
+
+@dataclass
+class VectorStoreSearchResult:
+    """A vector storage search result."""
+
+    document: VectorStoreDocument
+    """Document that was found."""
+
+    score: float
+    """Similarity score between 0 and 1. Higher is more similar."""
+
+
+class BaseVectorStore(ABC):
+    """The base class for vector storage data-access classes."""
+
+    def __init__(
+        self,
+        collection_name: str,
+        db_connection: Any | None = None,
+        document_collection: Any | None = None,
+        query_filter: Any | None = None,
+        **kwargs: Any,
+    ):
+        self.collection_name = collection_name
+        self.db_connection = db_connection
+        self.document_collection = document_collection
+        self.query_filter = query_filter
+        self.kwargs = kwargs
+
+    @abstractmethod
+    def connect(self, **kwargs: Any) -> None:
+        """Connect to vector storage."""
+
+    @abstractmethod
+    def load_documents(
+        self, documents: list[VectorStoreDocument], overwrite: bool = True
+    ) -> None:
+        """Load documents into the vector-store."""
+
+    @abstractmethod
+    def similarity_search_by_vector(
+        self, query_embedding: list[float], k: int = 10, **kwargs: Any
+    ) -> list[VectorStoreSearchResult]:
+        """Perform ANN search by vector."""
+
+    @abstractmethod
+    def similarity_search_by_text(
+        self, text: str, text_embedder: TextEmbedder, k: int = 10, **kwargs: Any
+    ) -> list[VectorStoreSearchResult]:
+        """Perform ANN search by text."""
+
+    @abstractmethod
+    def filter_by_id(self, include_ids: list[str] | list[int]) -> Any:
+        """Build a query filter to filter documents by id."""
diff --git a/graphrag/graphrag/vector_stores/lancedb.py b/graphrag/graphrag/vector_stores/lancedb.py
new file mode 100644
index 0000000000000000000000000000000000000000..0c9ea17f546aefdc5ebac7c5d278ca95c4cc0d81
--- /dev/null
+++ b/graphrag/graphrag/vector_stores/lancedb.py
@@ -0,0 +1,121 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""The LanceDB vector storage implementation package."""
+
+import lancedb as lancedb  # noqa: I001 (Ruff was breaking on this file imports, even tho they were sorted and passed local tests)
+from graphrag.model.types import TextEmbedder
+
+import json
+from typing import Any
+
+import pyarrow as pa
+
+from .base import (
+    BaseVectorStore,
+    VectorStoreDocument,
+    VectorStoreSearchResult,
+)
+
+
+class LanceDBVectorStore(BaseVectorStore):
+    """The LanceDB vector storage implementation."""
+
+    def connect(self, **kwargs: Any) -> Any:
+        """Connect to the vector storage."""
+        db_uri = kwargs.get("db_uri", "./lancedb")
+        self.db_connection = lancedb.connect(db_uri)  # type: ignore
+
+    def load_documents(
+        self, documents: list[VectorStoreDocument], overwrite: bool = True
+    ) -> None:
+        """Load documents into vector storage."""
+        data = [
+            {
+                "id": document.id,
+                "text": document.text,
+                "vector": document.vector,
+                "attributes": json.dumps(document.attributes),
+            }
+            for document in documents
+            if document.vector is not None
+        ]
+
+        if len(data) == 0:
+            data = None
+
+        schema = pa.schema([
+            pa.field("id", pa.string()),
+            pa.field("text", pa.string()),
+            pa.field("vector", pa.list_(pa.float64())),
+            pa.field("attributes", pa.string()),
+        ])
+        if overwrite:
+            if data:
+                self.document_collection = self.db_connection.create_table(
+                    self.collection_name, data=data, mode="overwrite"
+                )
+            else:
+                self.document_collection = self.db_connection.create_table(
+                    self.collection_name, schema=schema, mode="overwrite"
+                )
+        else:
+            # add data to existing table
+            self.document_collection = self.db_connection.open_table(
+                self.collection_name
+            )
+            if data:
+                self.document_collection.add(data)
+
+    def filter_by_id(self, include_ids: list[str] | list[int]) -> Any:
+        """Build a query filter to filter documents by id."""
+        if len(include_ids) == 0:
+            self.query_filter = None
+        else:
+            if isinstance(include_ids[0], str):
+                id_filter = ", ".join([f"'{id}'" for id in include_ids])
+                self.query_filter = f"id in ({id_filter})"
+            else:
+                self.query_filter = (
+                    f"id in ({', '.join([str(id) for id in include_ids])})"
+                )
+        return self.query_filter
+
+    def similarity_search_by_vector(
+        self, query_embedding: list[float], k: int = 10, **kwargs: Any
+    ) -> list[VectorStoreSearchResult]:
+        """Perform a vector-based similarity search."""
+        if self.query_filter:
+            docs = (
+                self.document_collection.search(query=query_embedding)
+                .where(self.query_filter, prefilter=True)
+                .limit(k)
+                .to_list()
+            )
+        else:
+            docs = (
+                self.document_collection.search(query=query_embedding)
+                .limit(k)
+                .to_list()
+            )
+        return [
+            VectorStoreSearchResult(
+                document=VectorStoreDocument(
+                    id=doc["id"],
+                    text=doc["text"],
+                    vector=doc["vector"],
+                    attributes=json.loads(doc["attributes"]),
+                ),
+                score=1 - abs(float(doc["_distance"])),
+            )
+            for doc in docs
+        ]
+
+    def similarity_search_by_text(
+        self, text: str, text_embedder: TextEmbedder, k: int = 10, **kwargs: Any
+    ) -> list[VectorStoreSearchResult]:
+        """Perform a similarity search using a given input text."""
+        query_embedding = text_embedder(text)
+        if query_embedding:
+            return self.similarity_search_by_vector(query_embedding, k)
+        return []
diff --git a/graphrag/graphrag/vector_stores/typing.py b/graphrag/graphrag/vector_stores/typing.py
new file mode 100644
index 0000000000000000000000000000000000000000..0b5a5cd19552d5f55aa4840e94b1eea1a3e185ea
--- /dev/null
+++ b/graphrag/graphrag/vector_stores/typing.py
@@ -0,0 +1,44 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+"""A package containing the supported vector store types."""
+
+from enum import Enum
+from typing import ClassVar
+
+from .azure_ai_search import AzureAISearch
+from .lancedb import LanceDBVectorStore
+
+
+class VectorStoreType(str, Enum):
+    """The supported vector store types."""
+
+    LanceDB = "lancedb"
+    AzureAISearch = "azure_ai_search"
+
+
+class VectorStoreFactory:
+    """A factory class for creating vector stores."""
+
+    vector_store_types: ClassVar[dict[str, type]] = {}
+
+    @classmethod
+    def register(cls, vector_store_type: str, vector_store: type):
+        """Register a vector store type."""
+        cls.vector_store_types[vector_store_type] = vector_store
+
+    @classmethod
+    def get_vector_store(
+        cls, vector_store_type: VectorStoreType | str, kwargs: dict
+    ) -> LanceDBVectorStore | AzureAISearch:
+        """Get the vector store type from a string."""
+        match vector_store_type:
+            case VectorStoreType.LanceDB:
+                return LanceDBVectorStore(**kwargs)
+            case VectorStoreType.AzureAISearch:
+                return AzureAISearch(**kwargs)
+            case _:
+                if vector_store_type in cls.vector_store_types:
+                    return cls.vector_store_types[vector_store_type](**kwargs)
+                msg = f"Unknown vector store type: {vector_store_type}"
+                raise ValueError(msg)
diff --git a/graphrag/poetry.lock b/graphrag/poetry.lock
new file mode 100644
index 0000000000000000000000000000000000000000..c4158330b2622ba62353be8087efb1ad0930b609
--- /dev/null
+++ b/graphrag/poetry.lock
@@ -0,0 +1,5107 @@
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+    {file = "wrapt-1.16.0-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:941988b89b4fd6b41c3f0bfb20e92bd23746579736b7343283297c4c8cbae68f"},
+    {file = "wrapt-1.16.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:6a42cd0cfa8ffc1915aef79cb4284f6383d8a3e9dcca70c445dcfdd639d51267"},
+    {file = "wrapt-1.16.0-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:1ca9b6085e4f866bd584fb135a041bfc32cab916e69f714a7d1d397f8c4891ca"},
+    {file = "wrapt-1.16.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:d5e49454f19ef621089e204f862388d29e6e8d8b162efce05208913dde5b9ad6"},
+    {file = "wrapt-1.16.0-cp38-cp38-win32.whl", hash = "sha256:c31f72b1b6624c9d863fc095da460802f43a7c6868c5dda140f51da24fd47d7b"},
+    {file = "wrapt-1.16.0-cp38-cp38-win_amd64.whl", hash = "sha256:490b0ee15c1a55be9c1bd8609b8cecd60e325f0575fc98f50058eae366e01f41"},
+    {file = "wrapt-1.16.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9b201ae332c3637a42f02d1045e1d0cccfdc41f1f2f801dafbaa7e9b4797bfc2"},
+    {file = "wrapt-1.16.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:2076fad65c6736184e77d7d4729b63a6d1ae0b70da4868adeec40989858eb3fb"},
+    {file = "wrapt-1.16.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c5cd603b575ebceca7da5a3a251e69561bec509e0b46e4993e1cac402b7247b8"},
+    {file = "wrapt-1.16.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b47cfad9e9bbbed2339081f4e346c93ecd7ab504299403320bf85f7f85c7d46c"},
+    {file = "wrapt-1.16.0-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f8212564d49c50eb4565e502814f694e240c55551a5f1bc841d4fcaabb0a9b8a"},
+    {file = "wrapt-1.16.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:5f15814a33e42b04e3de432e573aa557f9f0f56458745c2074952f564c50e664"},
+    {file = "wrapt-1.16.0-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:db2e408d983b0e61e238cf579c09ef7020560441906ca990fe8412153e3b291f"},
+    {file = "wrapt-1.16.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:edfad1d29c73f9b863ebe7082ae9321374ccb10879eeabc84ba3b69f2579d537"},
+    {file = "wrapt-1.16.0-cp39-cp39-win32.whl", hash = "sha256:ed867c42c268f876097248e05b6117a65bcd1e63b779e916fe2e33cd6fd0d3c3"},
+    {file = "wrapt-1.16.0-cp39-cp39-win_amd64.whl", hash = "sha256:eb1b046be06b0fce7249f1d025cd359b4b80fc1c3e24ad9eca33e0dcdb2e4a35"},
+    {file = "wrapt-1.16.0-py3-none-any.whl", hash = "sha256:6906c4100a8fcbf2fa735f6059214bb13b97f75b1a61777fcf6432121ef12ef1"},
+    {file = "wrapt-1.16.0.tar.gz", hash = "sha256:5f370f952971e7d17c7d1ead40e49f32345a7f7a5373571ef44d800d06b1899d"},
+]
+
+[[package]]
+name = "zipp"
+version = "3.19.2"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "zipp-3.19.2-py3-none-any.whl", hash = "sha256:f091755f667055f2d02b32c53771a7a6c8b47e1fdbc4b72a8b9072b3eef8015c"},
+    {file = "zipp-3.19.2.tar.gz", hash = "sha256:bf1dcf6450f873a13e952a29504887c89e6de7506209e5b1bcc3460135d4de19"},
+]
+
+[package.extras]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"]
+
+[metadata]
+lock-version = "2.0"
+python-versions = ">=3.10,<3.13"
+content-hash = "01ee5a94c60b640ad124c27244a21cf97ddbd7effdd7aaf89ff8c896af3a0887"
diff --git a/graphrag/pyproject.toml b/graphrag/pyproject.toml
new file mode 100644
index 0000000000000000000000000000000000000000..fb3ff7fbd2610b87fcdc6a46e77bc14b952e7736
--- /dev/null
+++ b/graphrag/pyproject.toml
@@ -0,0 +1,254 @@
+[tool.poetry]
+name = "graphrag"
+# Maintainers: do not change the version here manually, use ./scripts/release.sh
+version = "0.1.1"
+description = ""
+authors = [
+    "Alonso Guevara Fernández <alonsog@microsoft.com>",
+    "Andrés Morales Esquivel <andresmor@microsoft.com>",
+    "Chris Trevino <chtrevin@microsoft.com>",
+    "David Tittsworth <datittsw@microsoft.com>",
+    "Dayenne de Souza <ddesouza@microsoft.com>",
+    "Gaudy Blanco Meneses <gaudyb@microsoft.com>",
+    "Ha Trinh <trinhha@microsoft.com>",
+    "Jonathan Larson <jolarso@microsoft.com>",
+    "Kate Lytvynets <kalytv@microsoft.com>",
+    "Mónica Carvajal",
+    "Nathan Evans <naevans@microsoft.com>",
+    "Rodrigo Racanicci <rracanicci@microsoft.com>",
+    "Sarah Smith <smithsarah@microsoft.com>",
+]
+license = "MIT"
+readme = "README.md"
+packages = [{ include = "graphrag" }]
+
+[tool.poetry-dynamic-versioning]
+enable = true
+style = "pep440"
+vcs = "git"
+bump = true
+format-jinja = """
+    {%- if distance == 0 -%}
+        {{ serialize_pep440(base, stage, revision) }}
+    {%- else -%}
+        {{ serialize_pep440(base, stage, revision, dev=distance) }}
+    {%- endif -%}
+"""
+
+[tool.poetry.dependencies]
+python = ">=3.10,<3.13"
+environs = "^11.0.0"
+datashaper = "^0.0.49"
+
+# Vector Stores
+azure-search-documents = "^11.4.0"
+lancedb = "^0.10.0"
+
+# Event Loops
+uvloop = { version = "^0.19.0", markers = "platform_system != 'Windows'" }
+nest-asyncio = { version = "^1.6.0", markers = "platform_system == 'Windows'" }
+
+# Async IO
+aiolimiter = "^1.1.0"
+aiofiles = "^24.1.0"
+
+# LLM
+openai = "^1.35.7"
+nltk = "3.8.1"
+tiktoken = "^0.7.0"
+
+# Data-Sci
+numba = "0.60.0"
+numpy = "^1.25.2"
+graspologic = "^3.4.1"
+networkx = "^3"
+fastparquet = "^2024.2.0"
+# 1.13.0 was a footgun
+scipy = "1.12.0"
+
+# Configuration
+pyyaml = "^6.0.1"
+pyaml-env = "^1.2.1"
+python-dotenv = "^1.0.0"
+
+# Network
+tenacity = "^8.5.0"
+
+swifter = "^1.4.0"
+pydantic = "^2"
+rich = "^13.6.0"
+textual = "^0.72.0"
+devtools = "^0.12.2"
+
+typing-extensions = "^4.12.2"
+
+#Azure
+azure-storage-blob = "^12.19.0"
+azure-identity = "^1.17.1"
+
+[tool.poetry.group.dev.dependencies]
+coverage = "^7.6.0"
+ipykernel = "^6.29.4"
+jupyter = "^1.0.0"
+nbconvert = "^7.16.3"
+poethepoet = "^0.26.0"
+pyright = "^1.1.371"
+pytest = "^8.2.0"
+pytest-asyncio = "^0.23.4"
+pytest-timeout = "^2.3.1"
+ruff = "^0.5.2"
+semversioner = "^2.0.3"
+
+update-toml = "^0.2.1"
+
+[build-system]
+requires = ["poetry-core>=1.0.0", "poetry-dynamic-versioning>=1.0.0,<2.0.0"]
+build-backend = "poetry_dynamic_versioning.backend"
+
+[tool.poe.tasks]
+_sort_imports = "ruff check --select I --fix . --preview"
+_format_code = "ruff format  . --preview"
+_ruff_check = 'ruff check . --preview'
+_pyright = "pyright"
+_convert_local_search_nb = 'jupyter nbconvert --output-dir=docsite/posts/query/notebooks/ --output="{notebook_name}_nb" --template=docsite/nbdocsite_template --to markdown examples_notebooks/local_search.ipynb'
+_convert_global_search_nb = 'jupyter nbconvert --output-dir=docsite/posts/query/notebooks/ --output="{notebook_name}_nb" --template=docsite/nbdocsite_template --to markdown examples_notebooks/global_search.ipynb'
+_semversioner_release = "semversioner release"
+_semversioner_changelog = "semversioner changelog > CHANGELOG.md"
+_semversioner_update_toml_version = "update-toml --path tool.poetry.version --value \"$(semversioner current-version)\" pyproject.toml"
+coverage_report = 'coverage report --omit "**/tests/**" --show-missing'
+check_format = 'ruff format . --check --preview'
+fix = "ruff  --preview check --fix ."
+fix_unsafe = "ruff check --preview --fix --unsafe-fixes ."
+
+_test_all = "coverage run -m pytest ./tests"
+test_unit = "pytest ./tests/unit"
+test_integration = "pytest ./tests/integration"
+test_smoke = "pytest ./tests/smoke"
+index = "python -m graphrag.index"
+query = "python -m graphrag.query"
+prompt_tune = "python -m graphrag.prompt_tune"
+# Pass in a test pattern
+test_only = "pytest -s -k"
+
+[[tool.poe.tasks.release]]
+sequence = [
+    '_semversioner_release',
+    '_semversioner_changelog',
+    '_semversioner_update_toml_version',
+]
+ignore_fail = 'return_non_zero'
+
+[[tool.poe.tasks.convert_docsite_notebooks]]
+sequence = ['_convert_local_search_nb', '_convert_global_search_nb']
+ignore_fail = 'return_non_zero'
+
+[[tool.poe.tasks.format]]
+sequence = ['_sort_imports', '_format_code']
+ignore_fail = 'return_non_zero'
+
+[[tool.poe.tasks.check]]
+sequence = ['check_format', '_ruff_check', '_pyright']
+ignore_fail = 'return_non_zero'
+
+[[tool.poe.tasks.test]]
+sequence = ['_test_all', 'coverage_report']
+ignore_fail = 'return_non_zero'
+
+[tool.ruff]
+target-version = "py310"
+extend-include = ["*.ipynb"]
+
+[tool.ruff.format]
+docstring-code-format = true
+docstring-code-line-length = 20
+
+[tool.ruff.lint]
+select = [
+    "E4",
+    "E7",
+    "E9",
+    "W291",
+    "YTT",
+    "T10",
+    "ICN",
+    "INP",
+    "Q",
+    "RSE",
+    "SLOT",
+    "INT",
+    "FLY",
+    "LOG",
+    "C90",
+    "T20",
+    "D",
+    "RET",
+    "PD",
+    "N",
+    "PIE",
+    "SIM",
+    "S",
+    "G",
+    "ERA",
+    "ASYNC",
+    "TID",
+    "UP",
+    "SLF",
+    "BLE",
+    "C4",
+    "I",
+    "F",
+    "A",
+    "ARG",
+    "PTH",
+    "RUF",
+    "B",
+    "TCH",
+    "DTZ",
+    "PYI",
+    "PT",
+    "EM",
+    "TRY",
+    "PERF",
+    "CPY",
+    # "FBT", # use named arguments for boolean flags
+    # "TD", # todos
+    # "FIX", # fixme
+    # "FURB" # preview rules
+    # ANN # Type annotations, re-enable when we get bandwidth
+]
+ignore = [
+    # Deprecated Rules
+    "ANN101",
+    "ANN102",
+    # Conflicts with interface argument checking
+    "ARG002",
+    "ANN204",
+    # TODO: Inspect these pandas rules for validity
+    "PD002", # prevents inplace=True
+    # TODO RE-Enable when we get bandwidth
+    "PERF203", # Needs restructuring of errors, we should bail-out on first error
+    "C901",    # needs refactoring to remove cyclomatic complexity
+]
+
+[tool.ruff.lint.per-file-ignores]
+"tests/*" = ["S", "D", "ANN", "T201", "ASYNC", "ARG", "PTH", "TRY"]
+"examples/*" = ["S", "D", "ANN", "T201", "PTH", "TRY", "PERF"]
+"graphrag/index/config/*" = ["TCH"]
+"*.ipynb" = ["T201"]
+
+[tool.ruff.lint.flake8-builtins]
+builtins-ignorelist = ["input", "id", "bytes"]
+
+[tool.ruff.lint.pydocstyle]
+convention = "numpy"
+
+# https://github.com/microsoft/pyright/blob/9f81564a4685ff5c55edd3959f9b39030f590b2f/docs/configuration.md#sample-pyprojecttoml-file
+[tool.pyright]
+include = ["graphrag", "tests", "examples", "examples_notebooks"]
+exclude = ["**/node_modules", "**/__pycache__"]
+
+[tool.pytest.ini_options]
+asyncio_mode = "auto"
+timeout = 600
+# log_cli = true
+# log_cli_level = "INFO"
diff --git a/graphrag/scripts/e2e-test.sh b/graphrag/scripts/e2e-test.sh
new file mode 100644
index 0000000000000000000000000000000000000000..5c260a148bc62df9de7529b4c35e7d8b07aa3292
--- /dev/null
+++ b/graphrag/scripts/e2e-test.sh
@@ -0,0 +1,4 @@
+#!/bin/bash
+
+# Use CLI Form
+poetry run python -m graphrag.index --config ./examples/single_verb/pipeline.yml
\ No newline at end of file
diff --git a/graphrag/scripts/semver-check.sh b/graphrag/scripts/semver-check.sh
new file mode 100644
index 0000000000000000000000000000000000000000..26d69f9baa5ed78cce8067c5f4738aa1282f78b0
--- /dev/null
+++ b/graphrag/scripts/semver-check.sh
@@ -0,0 +1,10 @@
+#!/bin/sh
+changes=$(git diff --name-only origin/main)
+has_change_doc=$(echo $changes | grep .semversioner/next-release)
+has_impacting_changes=$(echo $changes | grep graphrag)
+
+if [ "$has_impacting_changes" ] && [ -z "$has_change_doc" ]; then
+    echo "Check failed. Run 'poetry run semversioner add-change' to update the next release version"
+    exit 1
+fi
+echo "OK"
diff --git a/graphrag/scripts/spellcheck.sh b/graphrag/scripts/spellcheck.sh
new file mode 100644
index 0000000000000000000000000000000000000000..7c1b50e9317ea201cffe0aba712722d64bdb02b6
--- /dev/null
+++ b/graphrag/scripts/spellcheck.sh
@@ -0,0 +1,2 @@
+#!/bin/sh
+npx --yes cspell -c cspell.config.yaml --no-progress lint .
\ No newline at end of file
diff --git a/graphrag/scripts/start-azurite.sh b/graphrag/scripts/start-azurite.sh
new file mode 100644
index 0000000000000000000000000000000000000000..345f500f3b2236ac18c47917f2ffd389a075cbf7
--- /dev/null
+++ b/graphrag/scripts/start-azurite.sh
@@ -0,0 +1,2 @@
+#!/bin/sh
+npx --yes azurite -L -l ./temp_azurite -d ./temp_azurite/debug.log
\ No newline at end of file
diff --git a/graphrag/tests/__init__.py b/graphrag/tests/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/conftest.py b/graphrag/tests/conftest.py
new file mode 100644
index 0000000000000000000000000000000000000000..c6536014b82d889abce355340c448e5191b490e2
--- /dev/null
+++ b/graphrag/tests/conftest.py
@@ -0,0 +1,6 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+def pytest_addoption(parser):
+    parser.addoption(
+        "--run_slow", action="store_true", default=False, help="run slow tests"
+    )
diff --git a/graphrag/tests/fixtures/azure/config.json b/graphrag/tests/fixtures/azure/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..8adced2c08a7e21c53ad2621949a786e005e6c11
--- /dev/null
+++ b/graphrag/tests/fixtures/azure/config.json
@@ -0,0 +1,13 @@
+{
+    "input_path": "./tests/fixtures/azure",
+    "input_file_type": "text",
+    "workflow_config": {
+        "skip_assert": true,
+        "azure": {
+            "input_container": "azurefixture",
+            "input_base_dir": "input"
+        }
+    },
+    "query_config": [],
+    "slow": false
+}
\ No newline at end of file
diff --git a/graphrag/tests/fixtures/azure/input/ABOUT.md b/graphrag/tests/fixtures/azure/input/ABOUT.md
new file mode 100644
index 0000000000000000000000000000000000000000..42c316108ec0893e6b1df44f8f42e5a50a8edb43
--- /dev/null
+++ b/graphrag/tests/fixtures/azure/input/ABOUT.md
@@ -0,0 +1,3 @@
+# About
+
+This document (Operation Dulce) in an AI-generated science fiction novella, included here for the purposes of integration testing.
\ No newline at end of file
diff --git a/graphrag/tests/fixtures/azure/input/dulce.txt b/graphrag/tests/fixtures/azure/input/dulce.txt
new file mode 100644
index 0000000000000000000000000000000000000000..95c9e3cd3af76b570f0550d69b2025d7cd6fafbb
--- /dev/null
+++ b/graphrag/tests/fixtures/azure/input/dulce.txt
@@ -0,0 +1,970 @@
+# Operation: Dulce
+
+## Chapter 1
+
+The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce.
+
+“I assume, Agent Mercer, you’re not having second thoughts?” It was Taylor Cruz’s voice, laced with an edge that demanded attention.
+
+Alex flickered a strained smile, still thumbing his folder's corner. "Of course not, Agent Cruz. Just trying to soak in all the details." The compliance in his tone was unsettling, even to himself.
+
+Jordan Hayes, perched on the opposite side of the table, narrowed their eyes but offered a supportive nod. "Details are imperative. We’ll need your clear-headedness down there, Mercer."
+
+A comfortable silence, the kind that threaded between veterans of shared secrets, lingered briefly before Sam Rivera, never one to submit to quiet, added, "I’ve combed through the last transmission logs. If anyone can make sense of the anomalies, it’s going to be the two of you."
+
+Taylor snorted dismissively. “Focus, people. We have protocols for a reason. Speculation is counter-productive.” The words 'counter-productive' seemed to hang in the air, a tacit reprimand directed at Alex.
+
+Feeling the weight of his compliance conflicting with his natural inclination to leave no stone unturned, Alex straightened in his seat. "I agree, Agent Cruz. Protocol is paramount," he said, meeting Taylor's steely gaze. It was an affirmation, but beneath it lay layers of unspoken complexities that would undoubtedly unwind with time.
+
+Alex's submission, though seemingly complete, didn't escape Jordan, who tilted their head ever so slightly, their eyes revealing a spark of understanding. They knew well enough the struggle of aligning personal convictions with overarching missions. As everyone began to collect their binders and prepare for departure, a quiet resolve took form within Alex, galvanized by the groundwork laid by their interactions. He may have spoken in compliance, but his determination had merely taken a subtler form — one that wouldn't surrender so easily to the forthcoming shadows.
+
+\*
+
+Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive."
+
+A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic."
+
+Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. 
+
+Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field.
+
+The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._
+
+As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come.
+
+\*
+
+A deserted corridor inside the facility stretched before Taylor Cruz, each footstep rhythmic and precise. Cruz, ambitious and meticulous, eyed the troops passing by with a sardonic tilt of the lips. Obedience—it was as much a tool as any weapon in the arsenal, and Cruz wielded it masterfully. To them, it was another step toward unfettered power within the dark bowels of the military complex.
+
+Inside a secluded equipment bay, Cruz began checking over gear with mechanical efficiency. They traced fingers over the sleek surface of an encrypted radio transmitter. "If protocols are maintained," said Cruz aloud, rehearsing the speech for their subordinates, "not only will we re-establish a line of communication with Dulce, but we shall also illuminate the darkest secrets it conceals."
+
+Agent Hayes appeared in the doorway, arms crossed and a knowing glint in their eyes. "You do understand," Jordan began, the words measured and probing, "that once we're in the depths, rank gives way to survival instincts. It's not about commands—it's empowerment through trust."
+
+The sentiment snagged on Cruz's armor of confidence, probing at the insecurities festering beneath. Taylor offered a brief nod, perhaps too curt, but enough to acknowledge Jordan's point without yielding ground. "Trust," Cruz mused, "or the illusion thereof, is just as potent."
+
+Silence claimed the space between them, steeped in the reality of the unknown dangers lurking in the shadows of the mission. Cruz diligently returned to the equipment, the act a clear dismissal.
+
+Not much later, Cruz stood alone, the hollow echo of the bay a stark reminder of the isolation that power often wrought. With each checked box, their resolve steeled further, a silent vow to usher their team through the abyss—whatever it might hold—and emerge enshrined in the respect they so deeply craved.
+
+## Chapter 2
+
+Sam Rivera sat alone in a cramped office, the hum of a dozen servers murmuring a digital lullaby in the background. Surrounded by the glow of multiple screens, their eyes danced across lines of code and intercepted comm signals from Dulce — a kaleidoscope of data that their curious and isolated mind hungered to decrypt.
+
+To an outsider, it might have looked like obsession, this fervent quest for answers. But to Sam, it was a dance — a give and take with the mysteries of the universe. Their fingers paused over the keyboard as they leaned back in the chair, whispering to thin air, "What secrets are you hiding from us?"
+
+The stillness of the room broke with the unexpected arrival of Alex Mercer, whose encroaching shadow loomed over Sam's workspace. The cybersecurity expert craned their neck upwards, met by the ever-so-slight furrow in Alex's brow. "Got a minute, Rivera?"
+
+"Always," Sam said, a smile surfacing as they swiveled to face their mentor more directly. _He has that look — like something's not sitting right with him,_ they noted inwardly.
+
+Alex hesitated, weighing his words carefully. "Our tech is top-tier, but the silence from Dulce... It's not just technology that will see us through, it's intuition and... trust." His gaze pierced through the digital haze, trying to instill something more profound than advice.
+
+Sam regarded Alex for a moment, the sincerity in his voice resonating with their own unspoken desire to prove their worth. "Intuition," they mirrored thoughtfully. "I guess sometimes the numbers don't have all the answers."
+
+Their shared silence held a newfound understanding, a recognition that between the ones and zeros, it was their combined human insights that might prevail against the impossible. As Alex turned to leave, Sam's eyes drifted back to the screens, now seeing them not as barriers to isolate behind, but as windows into the vast and enigmatic challenge that awaited their team.
+
+Outside the office, the persistent buzz of activity in the facility belied the unease that gripped its inhabitants. A restlessness that nibbled on the edges of reality, as though forewarning of the threshold they were soon to cross — from the known into the realm of cosmic secrets and silent threats.
+
+\*
+
+Shadows played against the walls of the cramped underground meeting room, where Alex Mercer stood gazing at the concealed elevator that would deliver them into the bowels of Dulce base. The air was thick, every breath laced with the weight of impending confrontation, the kind one feels when stepping into a legend. Though armed with an array of advanced weaponry and gear, there was an unshakeable sense that they were delving into a conflict where the physical might be of little consequence.
+
+"I know what you're thinking," Jordan Hayes remarked, approaching Mercer. Their voice was low, a blend of confidence and hidden apprehension. "This feels like more than a rescue or reconnaissance mission, doesn't it?"
+
+Alex turned, his features a mask of uneasy resolve. "It's like we're being pulled into someone else’s game. Not just observers or participants, but... pawns."
+
+Jordan gave a short nod, their analytical mind colliding with the uncertain dynamics of this operation. "I've felt that way since the briefing. Like there's a layer we’re not seeing. And yet, we have no choice but to play along." Their eyes locked with Alex's, silently exchanging a vow to remain vigilant.
+
+"You two need to cut the philosophical chatter. We have positions to secure," Taylor Cruz interjected sharply, stepping into their exchange. The authority in Taylor's voice brooked no argument; it was their way of pulling everyone back to the now.
+
+Alex's response was measured, more assertive than moments ago. "Acknowledged, Agent Cruz," he replied, his voice steadier, mirroring the transformation brewing within. He gripped his rifle with a newfound firmness. "Let's proceed."
+
+As they congregated at the elevator, a tension palpable, Sam Rivera piped in with a tone of balanced levity, "Hope everyone’s brought their good luck charms. Something tells me we’re going to need all the help we can get."
+
+Their laughter served as a brief respite from the gravity of their mission, a shared moment that reinforced their common humanity amidst the unknowable. Then, as one, they stepped into the elevator. The doors closed with a silent hiss, and they descended into the darkness together, aware that when they returned, if they returned, none of them would be the same.
+
+\*
+
+The sense of foreboding hung heavier than the darkness that the artificial lights of the elevator shaft failed to fully penetrate. The team was descending into the earth, carrying with them not only the weight of their equipment but also the silent pressure of the invisible war they were about to fight—a war that seemed to edge away from physicality and into the unnervingly psychological.
+
+As they descended, Dr. Jordan Hayes couldn't help but muse over the layers of data that could wait below, now almost longing for the comfort of empirical evidence. _To think that this reluctance to accept other possibilities may have been my biggest blind spot,_ Jordan contemplated, feeling the hard shell of skepticism begin to crack.
+
+Alex caught Jordan's reflective gaze and leaned in, his voice barely a murmur over the hum of the elevator. "Once we're down there, keep that analytical edge sharp. You see through the mazes of the unexplained better than anyone."
+
+The compliment was unexpected and weighed differently than praise from others. This was an acknowledgment from someone who stood on the front lines of the unknown with eyes wide open. "Thank you, Alex," Jordan said, the words carrying a trace of newfound assertiveness. "You can count on me."
+
+The exchange was cut short by a shudder that ran through the elevator, subtle, but enough to make them instinctively hold their breaths. It wasn't the mechanical stutter of old gears but a vibration that seemed to emanate from the very walls of the shaft—a whisper of something that defied natural explanation.
+
+Cruz was the first to react, all business despite the shadow that crossed their expression. "Systems check. Now," they barked out, masking the moment of disquiet with swift command.
+
+Every agent checked their gear, sending confirmation signals through their comms, creating a chorus of electronic beeps that promised readiness. But there was an unspoken question among them: was their technology, their weaponry, their protocols sufficient for what awaited them or merely a fragile comfort?
+
+Against the gravity of the silence that was once again closing in, Sam's voice crackled through, only half-jest. "I'd laugh if we run into Martians playing poker down there—just to lighten the mood, you know?"
+
+Despite—or perhaps because of—the oddity of the moment, this elicited a round of chuckles, an audible release of tension that ran counterpoint to the undercurrent of anxiety coursing through the team.
+
+As the elevator came to a halting, eerie calm at the sub-level, the group stepped off, finding themselves at the threshold of Dulce's mysterious halls. They stood in a tight pack, sharing a cautious glance before fanning out into the unknown, each one acutely aware that the truth was inevitably intertwined with danger.
+
+Into the depths of Dulce, the team advanced, their silence now a shared testament to the camaraderie born of facing the abyss together—and the steel resolve to uncover whatever horrors lay hidden in its shadows.
+
+\*
+
+The weight of the thick metal door closing behind them reverberated through the concrete hallway, marking the final threshold between the familiar world above and the strangeness that lay beneath. Dulce base, a name that had been whispered in the wind-blown deserts above and in the shadowed corners of conspiracy forums, now a tangible cold reality that they could touch — and that touched them back with a chill.
+
+Like lambs led to an altar of alien deities, so did Agents Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera proceed, their movements measured, their senses heightened. The air was still, almost respectful of the gravity of their presence. Their torch beams sliced through the darkness, uncovering steel doors with warnings that spoke of top secrets and mortal dangers.
+
+Taylor Cruz, stepping firmly into the role of de facto leader, set a brisk pace. "Eyes sharp, people. Comms check, every thirty seconds," Taylor ordered, their voice echoing slightly before being swallowed by the surrounding silence.
+
+Sam, fiddling with a handheld device aimed at detecting electronic anomalies, offered a murmured "Copy that," their usual buoyancy dimmed by the oppressive atmosphere.
+
+It was Jordan Hayes who paused at an innocuous looking panel, nondescript amongst the gauntlet of secured doorways. "Mercer, Rivera, come see this," Jordan’s voice was marked with a rare hint of urgency.
+
+Alex joined Jordan's side, examining the panel which, at a mere glance, seemed just another part of the base's infrastructure. Yet, to the trained eye, it appeared out of place—a facade.
+
+Jordan explained their reasoning as Sam approached, instinctively understanding the significance of what lay beneath, "This panel is a recent addition — covering something they didn't want found."
+
+Before Alex could respond, the soft whir of an approaching drone cut through their muffled exchange. Taylor had looped back upon hearing the commotion. "Explanations later. We can't afford to attract..." Cruz’s voice trailed off as the small airborne device came into view, its sensors locked onto the group.
+
+Sam was the first to react, their tech-savvy mind already steps ahead. "I've got this," they declared, fingers flying over the controls of their own gadgetry to ward off the impending threat.
+
+The drone lingered, its scan seeming more curious than hostile. But within moments, courtesy of Sam's interference, the little sentinel drifted away, retreating into the shadows as if accepting a silent truce. The crew exhaled, a moment of collective relief palpable in the air.
+
+Cruz squared their shoulders, clearly ruffled but not conceding any ground. "Move out," they directed, a hint more forceful than before. "And Rivera, keep that trick handy."
+
+The team pressed onward, the quiet now filled with the soft beeps of regular comms checks, their pace undeterred by the confrontation. Yet, every agent held a renewed sense of wariness, their trust in one another deepening with the knowledge that the base—its technology, its secrets—was alive in a way they hadn't fully anticipated.
+
+As they converged upon a central hub, the imposing doors to the mainframe room stood ajar — an invitation or a trap, neither option comforting. Without a word, they fortified their resolve and stepped through the threshold, where the dim glow of operational LED lights and the distant hum of machinery hinted at Dulce’s still-beating heart.
+
+Solemnly, yet unmistakably together, they moved deeper into the heart of the enigma, ready to unmask the lifeforce of Dulce base or confront whatever existential threat lay in wait. It was in that unwavering march towards the unknown that their destinies were forever cemented to the legacy of Operation: Dulce.
+
+## Chapter 3
+
+The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce.
+
+\*
+
+The cooling vents hummed in a monotonous drone, but it was the crackle of the comms system coming to life that cut through the lab’s tension. Dr. Jordan Hayes hovered over a table arrayed with alien technology, their fingers delicately probing the enigmatic circuitry retrieved from the crash site. Agent Alex Mercer watched, admiration blooming in silent solidarity for Jordan's deft touch and unspoken drive.
+
+Jordan, always composed, only allowed the faintest furrow of concentration to mar their brow. "What we understand about physics..." they muttered, trailing off as they realigned a translucent component. The device emitted a low pulse, causing Jordan to still. "Could be fundamentally changed by this."
+
+A calculated risk—that's what this was. And for a person of science, a gamble was worth the potential paradigm shift.
+
+"I’ve been thinking," Alex started, his eyes still fixed on the immediately tangible mystery before them. "About what’s at stake here. Not the mission parameters, but what this means for us—humanity."
+
+Jordan glanced up, meeting his eyes just long enough to convey the shared enormity of their situation; the career-defining glory and existential dread entwined. "The quest for understanding always comes at a price. We're standing on the precipice of knowledge that could either elevate us or condemn us."
+
+The charged air between them spiked as Taylor Cruz’s brusque tones sliced through their reverie. "Hayes, Mercer, this isn't philosophy hour. Focus on the task. We need actionable intel, not daydreams."
+
+With a sound of restrained acknowledgment, Jordan returned their gaze to the device, while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.
+
+Then Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”
+
+The underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.
+
+It was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths and for different reasons. Yet, beneath the veneer of duty, the enticement of the vast unknown pulled them inexorably together, coalescing their distinct desires into a shared pulse of anticipation.
+
+Marshaled back to the moment by the blink of lights and whir of machinery, they refocused their efforts, each movement sharpened by the knowledge that beyond understanding the unearthly artifacts, they might be piecing together the future of their species.
+
+\*
+
+Amidst the sterility of the briefing room, the liminal space between the facts laid out and the hidden truths, sat Sam Rivera, his demeanor an artful balance of focus and a casual disguise of his razor-sharp talent with technology. Across from him, Alex Mercer lingered in thought, the mental cogs turning as each file on Dulce stirred more than curiosity—it beckoned to a past both honored and burdensome.
+
+"You've been quiet, Sam," Alex noted, catching the younger man's contemplative gaze. "Your take on these signal inconsistencies?"
+
+There was a respect in Alex's tone, though a respectful distance remained—a gulf of experience and a hint of protective mentorship that stood between them. Sam nodded, recognizing the space afforded to him, and he couldn't help but feel the weight of expectation pressing upon his shoulders. It wasn't just the mission that was immense, it was the trust being placed in him.
+
+"The patterns are... off," Sam admitted, hesitant but driven. "If I'm right, what we're looking at isn't random—it's a structured anomaly. We need to be ready for anything." 
+
+Alex's eyes brightened with a subtle approval that crossed the distance like a silent nod. "Good. Keen eyes will keep us ahead—or at least not blindsided," he said, affirming the belief that inscribed Sam's role as more than the tech personnel—he was to be a guiding intellect in the heart of uncertainty.
+
+Their exchange was cut short by Taylor Cruz's abrupt arrival, his gait brimming with a robust confidence that veiled the sharp undercurrents of his striving nature. "Time to gear up. Dulce waits for no one," Taylor announced, his voice carrying an iron resolve that knew the costs of hesitation—though whether the cost was calculated in human or career terms was an ambiguity he wore like a badge of honor.
+
+As Sam and Alex nodded in unison, the icy chasm of hierarchy and cryptic protocols seemed momentarily to bridge over with an understanding—this mission was convergence, a nexus point that would challenge each of their motives and strength.
+
+They filed out of the briefing room, their footsteps synchronized, a rhythm that spoke volumes of the unknown cadence they would soon march to within the base's veins. For Alex Mercer, the link with Sam Rivera, though distant, was now poised with a mutuality ready to be tested; for Taylor Cruz, the initiative pulsed like a heartbeat, anticipation thinly veiled behind a mask of duty.
+
+In the midst of the descent, they were each alone yet irrevocably joined, stepping closer towards the volatile embrace of Operation: Dulce.
+
+## Chapter 4
+
+The corridors of the Dulce military base were as silent as a tomb and twice as chilling. Alex Mercer walked with a surety that belied his bubbling undercurrents of doubt. The briefing had been definitive, sturdy pillars of facts and protocols, yet as he ventured deeper, the ominous atmosphere gnawed at him—a stark reminder of how much remained unknown.
+
+Jordan Hayes trailed a few steps behind, their detached exterior breaking for a moment as they caught up to Alex. "What's on your mind?" Jordan asked, their astuteness cutting through the unspoken tension.
+
+Alex glanced back at them. This place was a puzzle, a treacherous labyrinth where the walls whispered secrets, and among them, he sensed a call to question, to challenge the narrative they'd been sold. "The silence here... It's almost as if the base is waiting for something—or someone."
+
+"Just stay sharp, Mercer," Jordan cautioned, yet their eyes lingered on the quietude around them, conceiving the same shadow of doubt that unsettled Alex.
+
+Before they could delve into further discussion, the distinctive click of a safety catch echoed in the hollow space. Both agents turned to find Taylor Cruz standing resolute, primed for combat. Taylor's gaze was scrutinizing and cold, a stark contrast to the growing unease that smoldered silently amongst the rest.
+
+"Chatter is a liability," Taylor snapped, with a commanding flair that bordered on tyrannical. "We move forward, eyes open, mouths shut."
+
+Alex felt the tight grip of compliance strangle his gut, a lesson learned under the hard tutelage of rank and order. But here, in the bowels of Dulce, those instincts began to wane, the imperative to adhere now conflicting with the pressing urgency to confront the shadows they were enmeshed in.
+
+Then, unexpectedly, the lights flickered, a power fluctuation—or a sign? Alex's hand instinctively went to his sidearm, his mindset shifting from soldier to skeptic. The base, with its unyielding coldness, had just given them their first nudge into the realm of the speculative, an invitation to peel back the veneer of reality.
+
+"We should consider all possibilities," Alex murmured, more to himself than the others, his voice a barely audible breath against the sterile air of the complex.
+
+Taylor's posture stiffened at the challenge, yet their response was uncharacteristically reserved, notable in its lack of rebuke. "Agreed. For now, keep moving. But stay vigilant."
+
+A surprise—an echo of agreement from the last person Alex expected it from. And there it was, the glimpse of a wrinkle in the unyielding fabric of command, a hint that perhaps they were all starting to sense the strangeness that permeated this place.
+
+Progressing with determined steps, the trio moved deeper, silently acknowledging the evolution of their predicament. It was a small yet transformative concession to the unknown forces at play, an acknowledgment from each agent that, despite their disparate goals and ideals, the true nature of the Dulce base was an enigma that would forge new paths through their convictions.
+
+As they reached the central communications hub, the truth that awaited them lurked in the shadows, its eyes unseen but felt by all. The walls didn't just whisper now; they spoke in tones only the brave—or the foolish—would dare to listen to.
+
+\*
+
+The subterranean silence of Dulce was an oppressive entity of its own, wrapping the team in a cloak of uneasiness as they pressed on through the dimly lit corridor. Jordan Hayes found themselves contemplating the ramifications of each step taken into this suspended world, where the sterile air seemed to mock the gravity of their predicament. The closer they got to the communication hub, the more Jordan's mind wandered toward the realm of the inexplicable.
+
+Beside Jordan, Alex Mercer moved forward with deliberation, his gaze scanning the heavy utility doors they passed—one of which was partially ajar, beckoning them with its darkness. "After you, Dr. Hayes," Alex said, gesturing toward the mysterious opening. A hint of shared understanding passed between them; knowledge was the guiding star of this mission as much as confrontation or recovery.
+
+Jordan peered inside, the beam from their flashlight slicing through the obscurity. The room beyond was a chaotic cascade of papers, overturned furniture, and the particular kind of disorder born from hasty evacuation—or something far more sinister.
+
+"It's like they vanished in the middle of something urgent," Alex murmured, his voice tight with a mix of concern and anticipation. He began to sift through the scattered reports, each page a potential clue to the enigmatic silence that shrouded Dulce.
+
+Behind them, Taylor watched with a disciplined patience, their authority the foundation upon which the operation was built. Their voice cut into the stillness, a reminder of their presence, "Time is not our ally here."
+
+Drawing back from momentary distraction, Jordan acknowledged the wisdom in Taylor's words, yet could feel the shift in their stance—from skeptical, reserved analyst, to a proactive agent within the narrative. "You're right; these documents may hold critical insights. Let's collect what we can and analyze them properly."
+
+From the darkened hollows of the room, shadows seemed to cast subtle judgment as Alex and Jordan worked together with heightened urgency. Taylor, for once, didn't intervene but instead surveyed the entrance, their mind anticipating the unknown variables that lay ahead.
+
+Unexpectedly, a soft hiss emanated from a neglected terminal on the desk. Jordan's head snapped up, their heart rate accelerating at the potential ramifications. Without a word, they moved to the machine, hands driven by the newfound conviction that knowledge was more than power—it was survival.
+
+As Jordan began to extract what data they could from the terminal, the first comprehensible communication from the depths of Dulce in far too long crackled through: an automated distress marker, looping endlessly without further context. It was a revelation, one that reverberated through the group, confirming their fears and igniting an even greater need to press on.
+
+Watching Jordan's dogged determination, Alex witnessed the minor transformation in his colleague unfold—a shift from doubt to action, a sliver of belief in the possibilities beyond their rational understanding. This forge of resolve amidst the alien echoes of Dulce not only bonded them closer as a team but compelled them forward with a sharpened edge of responsibility to the truth, wherever it would lead.
+
+As they collected their findings and regrouped, the base around them imperceptibly changed, the air charged with the vibration of secrets poised on the brink of revelation. And in that charged silence, the group moved on, each now carrying pieces of a puzzle that would soon converge into a picture of galactic significance.
+
+\*
+
+In the chill of the cramped server room, the hum of machinery was the backbone to a symphony of data streams coursing through the air. Dr. Jordan Hayes, nerves alight with the mission's mounting unknowns, patched into the last known coordinates of the unsent distress broadcast they had uncovered. They were so close to the core now – to the truth behind the blackout – it was almost tangible.
+
+Beside them stood Agent Alex Mercer, ever the soldier, yet with eyes that betrayed an intellect craving to understand the murk beneath the surface. "Any progress, Dr. Hayes?" Alex queried, his voice betraying a subtle urgency.
+
+"Getting there," Jordan replied, fingers dancing across the keyboard. "Whoever sent this was cut off mid-transmission. It's as if Dulce itself swallowed the message whole."
+
+Taylor Cruz closed in, their frame casting a long shadow over the duo, evoking an almost palpable wall between them and the forward momentum of their mission. "Time is against us," Taylor intoned, more statement than threat. "What we uncover here determines our next course of action."
+
+Alex acknowledged Taylor with a brisk nod, his stance firm. Yet inwardly, the tightening grip he felt from Taylor's words couldn't throttle the swell of his own investigative instinct. His soldier's obedience had begun to war with the advocate's zeal for unveiling the dark heart of Dulce's secrets. 
+
+And then, the unexpected occurred. The screens flashed in unison, spilling a discordant stream of symbols and images that defied immediate analysis. Jordan's breath caught – this was the response they had been fishing for, an alien communication protocol resonating just at the edge of human comprehension.
+
+Each member of the team felt it: a shift in the room’s very atmosphere, like a veil being drawn from their perception. Alex and Jordan stood still, absorbed in the bewilderment of contact, while Taylor, despite their authority, hesitated – a minor betrayal that unease was creeping into even their disciplined heart.
+
+"Thoughts, Rivera?" Taylor rallied, seeking the counsel of Sam Rivera, whose eyes were wide with exhilaration.
+
+Sam stepped forward, breaking the spell of stillness. "It's like nothing I've ever seen before, but I think I can bridge our systems to communicate," they declared, a wisp of optimism braiding their voice. They set about adapting their gear to transmute the foreign signals into something the team could dissect, their actions a testament to the mentorship and belief instilled in them by Mercer and the team.
+
+Taylor observed them, a cold calculation behind their facade, as they weighed the worth of this anomaly. It was a crossroad that potentially led to either monumental breakthrough or unprecedented catastrophe. "Once you've established a line, document everything. We can't afford to miss any detail," Taylor ordered, the words sharper than intended.
+
+The connection was made, and with trembling anticipation, the team listened as the first garbled outputs began to emerge, their very essence promising insights that could alter the course of history. It was an enigmatic dance with the unknown, the pulse of Dulce no longer just a place, but a herald to an alien register the team had yet to decipher.
+
+Together, they stood at the precipice of understanding, where the faint glow of their monitors cast more than just light – it cast the shadow of burgeoning transformation. It was in this moment, in the grasp of an extraterrestrial tongue, that the team, bound by a hunger for knowledge and the raw edge of survival, found their mission reframed from a search for answers to the articulation of a question humankind had yet to fully ask.
+
+Silent in their commune with the inexplicable frequency, they realized they were not merely investigators; they had become liaisons on behalf of Earth, interpreters of a cosmic message that could redefine their very existence. The implications loomed large, but now, they would not face them alone – they would face them as a united front, wrought together by the very mysteries that once drove them apart.
+
+## Chapter 5
+
+Dr. Jordan Hayes clutched the edge of the briefing room table, their fingers white-knuckled against the laminate surface, as an array of constellations rotated on the projector—charts and graphs bleeding across the stars. In the dim room, nebulas and dark matter seemed within arm's reach, tangible yet unfathomable. 
+
+Sam Rivera leaned back against the wall, arms crossed, gaze darting between the swirling cosmos and the faces of their companions. A taut line of concentration etched their young features, a mingling of fervent curiosity with the nascent understanding of the high stakes for which they played.
+
+Jordan's voice broke the profound silence. "The patterns in the signal disruptions sync with none other than zenithal star alignments. It's as if... as if these 'meet and greets' were scheduled, predestined by celestial mechanics."
+
+The statement hung heavy, daring the occupants of the room to unravel its implications. Alex Mercer, his prior military resolve momentarily suspended, absorbed the hypothesis with a visible hunger. "It's like we're adhering to an appointment we never knew we had," he murmured, his heart a drumbeat in his chest.
+
+Taylor Cruz snorted—a sound that clattered against the high concepts like a tumbledown shack in a futurist cityscape. Folding their arms, they glanced between the agents, their apprehension clad in the contempt of practicality. "What we need are facts, not mystic conjecture."
+
+Alex pivoted on his heel, facing Taylor squarely, and his voice found its edge of steel. "This isn't mysticism, Cruz. It's a hypothesis based on observed phenomena as unpredictable as the place we're standing in."
+
+Taylor's gaze never wavered, yet the slight twitch at the corner of their mouth belied their taut composure. "If there's a semblance of truth to it, then it's critical intel. But remember, we're not astrologers—we're soldiers and scientists."
+
+Jordan met Taylor’s gaze with a curt nod, accepting the caution even as the crucible of their intellect smoldered with the fervor of cosmic discovery. Their eyes flicked to Sam, whose steady presence and ready tech affirmed a burgeoning dynamic—the makings of a sentinel, standing guard over the threshold of human understanding and cosmic reality.
+
+With the projector casting pallid light over their features, each agent became a silhouette of purpose, shadows pillared against the backdrop of an endless universe. The story they were embroiled in would soon demand they plunge into darkness to retrieve the light of knowledge—a light that could very well redraw the shape of their world.
+
+They left the briefing room with a shared silence, each pondering the vast weave of celestial intent and terrestrial response, sensing that the galactic appointment to which they'd unwittingly RSVP’d was more insistent—and more threatening—than any operation they’d faced before.
+
+\*
+
+As the Paranormal Military Squad team convened in the heart of the Dulce military complex, an air of bristling expectation clung to the walls of the underground sanctum. Alex Mercer’s brow furrowed while watching his companions—Jordan Hayes, diligently setting up their makeshift lab station, and Sam Rivera meticulously checking the communication relays they had restored. Taylor Cruz observed with hawk-like focus, yet to betray the strain that their command posed on them.
+
+The gravity of the mission had shifted, deepened; each member of the team felt its pull, tethered to the understanding that they were now part of a larger narrative—a cosmic play with Earth as a stage and the human race unwitting actors. 
+
+Jordan paused, a tension creeping across their shoulders as they aligned the satellite data with the alien message that had been decoded. "The instructions in this message," Jordan started, the timbre of their voice betraying their usual composure. "They're coordinates and... a warning."
+
+Sam leaned in, their eyes widening behind the glow of their laptop screen. "A warning? Like, ‘stay away from’, or ‘beware of’...?" Their words trailed off, uncertainty a new companion in their lexicon.
+
+Alex exhaled slowly, his mind racing to connect the dots. "It doesn't matter which," he said, decisive yet contemplative. "What matters is we understand intent. Are we being warned out of concern, or are we stumbling upon a threat?"
+
+Cruz’s iron-clad facade momentarily cracked, a fleeting glimpse of vulnerability flashing through their eyes. "We need to know if this entails additional risk to the operation," they said, directing their gaze specifically at Alex. "Mercer, I rely on you to keep the team grounded. No one goes off-course."
+
+Their reminder seemed both a command and a plea—rooted in an understanding that each member of the team now faced the duality of their roles, protectors of earthly secrets and heralds of potentially devastating revelations.
+
+Sam's fingers stilled mid-type, their task forgotten as they absorbed the weight of the unfolding reality. "We're the first line of defense... or detection," they mused half to themselves, a growing sense of agency within the larger play they were cast into.
+
+Jordan returned to the data, more resolute in their actions. The warning, whether cautionary or dire, was a beacon they no longer could ignore; its light casting aside shadows of doubt and igniting a collective purpose within the team.
+
+Alex watched Jordan and Sam, feeling a brotherhood in their shared quest. As Cruz paced, poised on the cusp of decisions that would mark their career and perhaps the fate of many, Alex knew the narrative had changed. They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.
+
+Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.
+
+Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer’s latter instincts gained precedence— the team’s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly hierarchies but by the pulsing symphony of the universe itself.
+
+\*
+
+The desert night loomed eerily still as echoes of hidden activity reverberated deep beneath the bleak sands of New Mexico. Diverting his gaze from the array of sensors before him, Jordan Hayes allowed a rare breath, deep and anxious. Turning to Alex Mercer's focused silhouette, the nocturnal landscape illuminated softly by makeshift floodlights, Jordan felt the syncopated tempo of apprehension and exhilaration jockey for primacy within.
+
+"The closer we get to unlocking these messages, the more I feel like we're peeling back layers of reality itself," Jordan confided, eyes not leaving the monitors that presented a constellation of data points.
+
+"Yes," Alex replied, his voice steady as he considered the implications of their discovery. "And we have to be ready for whatever we find beneath those layers. Whether it's a breakthrough or a Pandora's Box."
+
+Silence settled between them, broken only by the occasional buzz of communications equipment attempting to bridge terrestrial and extraterrestrial intelligences. Tense moments drifted by, laden with the expectant weight of near breakthrough, when a soft chime signaled an incoming transmission -- a rare sound that set every agent on high alert.
+
+Absent was the voice of Washington or Paranormal Military Squad command. Instead, a rhythmic series of pulses and tones filled the air, deliberately patterned, unmistakably non-human.
+
+Sam Rivera adjusted the sensitivity of the decoding equipment, their hands shaking with anticipation as much as focus. "I have it!" they announced, the signal transforming under their expertise into a sequence of visual symbols on the screen before them.
+
+Their shared excitement was palpable, a kinetic force resonating between the team members as they crowded around the display. 
+
+"What does it say?" Taylor Cruz demanded, the urgency in his tone scraping against the newfound wonderment.
+
+Interpreting the alien syntax required not only decoding but intuition and empathy. The words that emerged upon the screen were at once coherent and enigmatic: "*Voyage. Convergence. Peril.*"
+
+The stark simplicity of the message struck them collectively, a chill breeze wafting through their resolve.
+
+Alex stepped forward, piecing together the cryptic communication with a growing sense of obligation. "It’s a call to action," he deduced, "or possibly a summons."
+
+Jordan's gaze met Alex’s, both understanding that this was no longer an investigation or mere extraction of hidden truths. This was humanity's unwitting enlistment into a galactic dialogue that defied boundaries of nation, creed, or protocol.
+
+Sam's eyes were aglow, not with fear, but with the profound acceptance of inevitability that comes with groundbreaking revelation. Moreover, within Taylor's stern exterior churned the seed of reluctant admiration for the unclassified, the uncharted realms they were approaching.
+
+Together, they accepted the pivot in their mission, readjusting their objectives from exploration to engagement, and from isolation to a communal outreach beyond the stars. As dawn's first light threatened the horizon, it became clear that they were no longer merely operatives of a clandestine governmental faction—they were delegates on behalf of Earth, embarking on a voyage orchestrated by destinies unrelated to the mere geopolitics of their world.
+
+Turning to each other, their silhouettes sketched against the coming dawn, the agents recognized the transformation within and amongst them. They were bound by more than duty—they were intricately woven into the fabric of an unfolding cosmic opera, one in which they had been granted an undeniable role. And as they set course for the coordinates that beckoned them like a distant siren's call, it was with a solemn dedication to not only uncover the mysteries ahead but to navigate the convergence, and the peril, as unified emissaries of a world on the cusp of a broader understanding.
+
+\*
+
+Beneath the hum of the fluorescent lights and the vigilance of silent monitors, Alex Mercer stood with his team in the threshold of the base's command center, their faces etched with the fatigue of hours spent unraveling galactic mysteries. Jordan Hayes broke the stillness with a delicate fusion of disbelief and resolve. "The signal..." they began, their tone deliberate, "it’s evolving. It’s not just sending a message—it’s responding to us."
+
+Taylor Cruz leaned over the console, their eyes narrowing with intrigue and a flicker of unease, studying the alternating patterns on the screen. "Responding? Like it’s alive?" Taylor asked, a question that bordered on the edge of wonder and alarm.
+
+Sam Rivera’s gaze was locked onto their interface, a digital orchestra at their fingertips. "It could be some form of advanced AI. Or something else entirely," they contributed, a note of exhilaration betraying the gravity of the situation.
+
+Alex paced before the terminal, absorbing the enormity of their predicament. Their mission—once rooted in the solid ground of military discipline and covert operations—had transcended into an encounter of unprecedented import. "We need to be cautious," he advised, his voice a low rumble of cautious strategy. "If this signal is intelligent, how we interact with it could dictate the outcome of this entire operation."
+
+Jordan met Alex's gaze with a nod, the weight of the responsibility shared and accepted. "We have protocols for first contact, but nothing for... this," Jordan admitted. The room was gripped with tension, each breath seemingly louder than the last.
+
+Then, with a sudden burst that filled the command center, the signal coalesced into a clear and distinct pattern which replicated and expanded, its complexity revealing the hand—or mind—of an intelligent architect.
+
+Taylor's instinct for command surged forth. "Prepare to record and analyze. Whatever it is, we need to understand it—" But their words were cut short as the signal surged, enveloping the room in a brief, blinding cascade of light.
+
+In that pulse of brilliance, a shared revelation coursed through the team. The signal had become a bridge, an extension of unknown consciousness reaching towards them, testing, communicating, searching. 
+
+Alex stepped back from the light, feeling a profound change unravelling within him. The path forward would not be one of confrontation or conquest, but of connection and comprehension.
+
+Jordan turned to Alex and Taylor, seeing in their faces a reflection of the same metamorphosis taking place within themselves—a movement from observers to participants, from agents to ambassadors.
+
+With a collective breath, the team faced the kaleidoscope of lights. The alien signal, once a harbinger of enigma, was now a catalyst for transformation—a symphony of light and sound that echoed the beginnings of a new relationship between humanity and the alien unknown.
+
+And so, with deliberate steps, Alex Mercer led his team into the luminous fray. Science, protocol, and survival instinct harmonized within them, each member poised on the cusp of a new chapter in human history.
+
+They were no longer merely the instruments of Paranormal Military Squad's will—they were the vanguard of humankind’s first definitive leap into the cosmic community. 
+
+With the last echoes of the signal resonating in the control room, they each embraced the sequencing of the transmission, the dance of extraterrestrial light that now wrote itself into their story. The chapter of Operation: Dulce drew to a close, but the narrative of their destiny had only just begun.
+
+## Chapter 6
+
+\*
+
+The cool darkness of the command center at Dulce base was a stark contrast to the brewing storm outside, where the unforgiving New Mexico desert winds whispered of the hidden truths that lay buried deep beneath its surface. Dr. Jordan Hayes sat, their eyes fixed on the readout, the frenetic dance of symbols and numbers reflecting off their determined face. They were on the cusp of an epiphany, teetering between the widely accepted laws of physics and the promise of a new cosmic paradigm.
+
+Alex Mercer watched from across the room, noting the subtle shifts in Jordan’s posture that belied a developing readiness to embrace the unbelievable. “Find something?” Alex’s question, asked with a blend of curiosity and solidarity, bridged the gap between a command and a genuine query among equals.
+
+Jordan's response was slow, measured against the magnitude of their analysis. “This isn’t random static. It’s a pattern - a repeated sequence phasing in and out but distinctly artificial.” Jordan turned away from the screen, locking eyes with Alex. “This could change everything.”
+
+Sam Rivera leaned in, their eyes alight with the fires of revelation and a quenchless thirst for understanding. “A pattern means intention. Could it be a message?”
+
+A figure emerged from the doorway, casting a long shadow into the room - Taylor Cruz. “Intentions can be friendly, or hostile. We shouldn’t forget that,” said Taylor, bringing a dose of their usual pragmatism into the heart of discovery.
+
+Alex acknowledged Taylor’s caution with a nod, understanding the need to keep their feet grounded even as their spirits soared toward the unknown. “Then let’s be the first to find out which it is."
+
+The team gathered around the monitors, the soft tapping of Jordan's keystrokes now punctuated by the occasional crackle of Sam's radio equipment. The sound was almost ritualistic, a prelude to humanity’s potential first, knowing foray into a larger universe.
+
+Jordan’s fingers paused, suspended in mid-air. The signal had evolved, becoming a beacon that somehow felt less alien and more familiar. It was as if the complexities of their message were unfolding into something more accessible, more terrestrial.
+
+A hushed excitement swept through the room. The transformation suggested an awareness on the part of the unknown senders; a finesse that spoke volumes about their capabilities and perhaps their intentions.
+
+With the growing realization that they were engaging with an intelligence far exceeding their previous understanding, the team prepared to reach back across the cosmic divide. Prepared or not, they were no longer bystanders in this galactic narrative. They were active correspondents in an exchange that transcended galaxies and welcomed them into an expansive, possibly fraught, interstellar conversation.
+
+\*
+
+Inside the cavernous central hub of Dulce military base, Dr. Jordan Hayes stood in near-darkness, surrounded by a nest of cables and monitors that buzzed with silent, cryptic life. Jordan's eyes narrowed to focus on the sequences that danced across the screen—patterns that could unravel the cosmic enigma surrounding them.
+
+Alex Mercer approached with his characteristic stride, a signal of reliability in the chaos. "Status report, Dr. Hayes?" he inquired, his voice low, almost blending into the soundscape of beeping consoles and swirling fans.
+
+"We're on the brink of unravelling the signal's origin," Jordan replied, the weight of implications heavy in their tone. "There's intelligence behind it, a thought process alien to our own."
+
+As if summoned by their analysis, Taylor Cruz approached with authority radiating from every pore. "Understand this, we need to know if it's friend or foe. Don't get wrapped up in the existential—our lives may depend on the answers you provide."
+
+Sam Rivera, their hands adroitly adjusting a device to fine-tune the signal, chimed in with optimism undercut by anxious anticipation. "We're deciphering the comm encryption. Soon, we'll have a channel open—not just listening in, but speaking back."
+
+Alex nodded his understanding, his strategic mind processing the tactical implications while grappling with the more profound humanistic impact. "When we do, we'll tread carefully, communicate with purpose," he reassured the team.
+
+The operation had evolved rapidly, from a stealthy incursion into a clandestine labyrinth to an exchange with an extraterrestrial intellect. Their earlier trepidation transformed into determined focus, as they prepared to extend humanity’s hand into the vast unknown.
+
+An alert on one of the monitor stations snapped the team into alarm. The signal had not simply been waiting—it had been calculating. Now, it reached its crescendo, demanding their attention with a provocative urgency.
+
+Jordan's fingers raced over the keyboard, their eyes simultaneously interpreting data and sharing directives. "It’s a linguistic lock, a test of comprehension. We crack this, we establish dialogue."
+
+Taylor's presence was a beacon of steely resolve. "Then let’s solve it. This is what we trained for—the unknown."
+
+Alex and Sam exchanged a look that telegraphed their shared determination—this was not only the mission they had trained for; it was the mission they had been destined for.
+
+Together, the Paranormal Military Squad team leaned into the challenge, their minds honing in on the complex patterns with a singular goal: to unlock the conversation with an intelligence that had already begun to shift the foundations of what they knew, or thought they knew, about the universe.
+
+In a symphony of clicks and murmurs, they worked, knowing they were about to make a giant leap not just for themselves or Paranormal Military Squad, but for all of humanity. As the final pieces fell into place, Dulce's militaristic silence was shattered by the sound of intergalactic contact—by the sound of history being made.
+
+## Chapter 7
+
+In the enclosed space of Dulce’s command center, the air was thick with anticipation, each team member poised to tread the razor's edge between scientific breakthrough and galactic peril. Dr. Jordan Hayes focused intently on the screen, their fingers tapping a staccato rhythm against the keyboard as lines of alien code cascaded down the monitor.
+
+Alex Mercer's steely gaze surveyed the room, stopping on each member of his team. "Thoughts?" he asked, echoing the unspoken tension. His question, while directed at the group, lingered on Jordan—acknowledging their expertise and inviting collaboration rather than dictating orders.
+
+Jordan’s brow furrowed, an indicator of the mental gymnastics being performed. "It's unprecedented," they finally said, their voice a testament to the gravity of the moment. "Behavioral algorithms... if we're right, this code could reveal extraterrestrial thought patterns."
+
+Before anyone could react, Taylor Cruz interjected with the assertiveness of someone accustomed to commandeering the discourse. "Then let’s ensure we’re deciphering it correctly," Taylor stated, their tone suggesting they were still battling to maintain control over an increasingly alien situation.
+
+Sam Rivera hovered near the mainframe, youthful energy barely contained under the surface. "What if it’s more than just a message? What if they’re trying to extend consciousness across the stars?"
+
+The room fell into a contemplative silence, broken only by the hum of electronic equipment and the distant thud of secured doors locking in rhythm. The weight of responsibility rested on each agent's shoulders—a heaviness palpable in the air they shared.
+
+Alex stepped forward, reaching a subtle decision, one dictated by foresight and the humanity nestled at the core of their mission. "We approach with the aim to understand, not to confront," he said, softening his military bearing into a more diplomatic stance.
+
+Jordan nodded, appreciating the leadership that Alex displayed in the face of the unknown, and turned back to the cryptic data. Here, before them all, was a tangible piece of evidence—proof of an extraterrestrial sentience that had outreached the bounds of their expectations.
+
+Taylor took a breath, simultaneously exuding a sense of preparedness and venturing into the unknown alongside their peers. "Then let’s do what Paranormal Military Squad does best—investigate and adapt," Taylor added, finding comfort in the familiar even as they stood on the cusp of an unprecedented alchemy of science and mystery.
+
+The team leaned into their respective roles, driven by the urgency of the assignment and the pull of an insatiable curiosity. Sam offered a grin that belied the tension, a youthfulness that reminded them all of the profound excitement nested within the terror of the unknown.
+
+Quietly but resolutely, they turned back to their instruments, each of them a sentinel on the threshold of a new reality. The once implicit lines of command were now woven into a shared tapestry of hierarchy and camaraderie. As they danced with the unknown, they were beacons of sentient endeavor, casting the light of human consciousness into the vast darkness that called to them.
+
+\*
+
+\*
+
+Dulce Base's cavernous darkness was pierced by the sharp luminescence of monitors, casting an electric glow onto the faces of those who dared to unearth its secrets. Dr. Jordan Hayes stood motionless, eyes glazed in concentration, their mind a nexus where terrestrial science battled with celestial unknowns.
+
+Alex Mercer watched from a slight distance, the weight of command tangible upon his shoulders, though lightened by the shared burden now held amongst them. "We could be on the frontier of a new kind of diplomacy," he mused aloud, giving voice to the moment's gravity.
+
+At those words, Jordan's trance broke. "If that's the case, then these communications," Jordan motioned to the stream of data, "are our olive branch across the cosmos."
+
+Taylor Cruz, who paced with restless energy, halted and faced the team—his stoicism marred by the erratic dance of lights reflected in his eyes. "An olive branch, or an invitation to a battlefield?" he posed, ever the strategist, his words laced with a hint of cynicism.
+
+Sam Rivera, nestled amongst an array of equipment, licked their lips—a mixture of nerves and anticipation palpable. "We're mapping out something incredible here. Whether it's peace or war, we're the cartographers."
+
+Silence enveloped them like the expanse of space itself, each member contemplating the chasms they might bridge—or the abysses into which they might unwittingly descend.
+
+Alex's demeanor assumed a quiet resolve—the profound knowledge that this mission was as much about navigating uncharted philosophical territories as it was about ensuring survival. "Whichever it proves to be, we'll face it. Prepared, unified."
+
+A nod passed between Jordan and Alex, a silent exchange of mutual respect and shared mission. Sam, buoyed by the weighty encounters of the mind and machinery, entered keystrokes with a fervor that seemed to bring them ever closer to the alien mind.
+
+They stood there, the Paranormal Military Squad team, not just as guardians of homeworld secrets or as soldiers of clandestine wars, but as humankind's chosen few at the fulcrum of history—a history that was now unfolding to the rhythm of otherworldly codes.
+
+Each revelation, each parsed symbol, inched them toward the line between the earthly and otherworldly. And as they stood on this precipice of cosmic negotiations, it was clear the ensuing dialogue would not just shape the future of Paranormal Military Squad—it could very well redefine the parameters of human existence.
+
+\*
+
+The hum of advanced computational systems tingling with cryptic transmissions framed the ambiance of Dulce's mainframe chamber. Jordan Hayes, fingers hovering over a console dense with blinking lights, furrowed their brow as sequences of alien data streamed across the screen. 
+
+Alex materialized behind them, his presence a stable beacon amidst the technological whirlwind. "Look for patterns, anomalies. Anything that might resemble a handshake protocol in their communications," he directed, his voice a low thrum, reverberating with cautious optimism.
+
+Jordan cast a glance over their shoulder, acknowledging Alex's contribution with the shared understanding of colleagues who had transcended mere professional acquaintance. "I’m isolating sequences that seem to recur with more intention than static. If these are their ‘handshakes,’ then we might just be making first contact," they remarked, their focus returning to the screen with renewed vigor.
+
+From the other end of the room, where shadows married the artificial light, Sam's voice crackled through the static of nearby speakers, "Don't forget the anomalies we detected earlier. Each one could be a word, a sentence, or even a concept untranslatable to our current understandings."
+
+Resolute, Taylor Cruz stood at Jordan's other side, a stoic figure wrestling with the implications of their mission. "Keep pursuing this line," Taylor instructed, an undercurrent of intensity carried forth in their otherwise composed demeanor. "And remember, this isn't just about making contact; it's about securing knowledge for humanity."
+
+Alex offered a nod that spoke volumes, conveying his understanding of the stakes at play. Here, in this chamber of possibility, the team's actions would determine if humanity stood at the brink of a new age of understanding or the onset of an unprecedented threat.
+
+Every second thrummed with significance as Jordan and Sam worked in tandem, each keystroke a foray into the unknown. Taylor observed with a commander's scrutiny, the gravity of their role sustaining them against the waves of ambiguity breaking against their resolve.
+
+Pivotal moments come rarely in the course of human events but here, amidst the electronic symphony of a stalwart command center, lay the incepting notes of a cosmic overture. The harmony between human and alien, between Paranormal Military Squad and the vast reaches of space, began its first tentative measures, with each member of the team a vital instrument in a celestial ensemble yet to be fully heard.
+
+\*
+
+The crisp air within the mainframe room of Dulce base seemed to hum with unspoken possibilities. Jordan Hayes was the centerpiece of focus, their hands dancing methodically over the console as streams of otherworldly code cascaded down monitors, each flicker a potential key to the cosmic doors they were inching open.
+
+Alex Mercer watched, posture relaxed but eyes sharp. "Remember, this could be our first introduction, maybe even our first impression," he said, mindful of the gravity carried by each action they made henceforth.
+
+A hint of a smile touched Jordan's face, a small acknowledgment of the monumental task at hand. "Understood. I'm balancing the signal's syntax with our algorithms. If we're interpreting this correctly, it could be... well, an invitation."
+
+Into the electric tension of the chamber walked Taylor Cruz, their silhouette a sharp contrast against the cool lighting, radiating a presence that spoke of command and chilly tenacity. "An invitation, or a challenge?” Taylor questioned, the weight of their suspicion casting a different tint on the cascading data.
+
+Sam Rivera, in a corner arrayed with sophisticated equipment, piped up, their voice a buoyant note amidst the tentative atmosphere. "Either way, it's a connection. One that we're uniquely positioned to navigate," they remarked with an air of optimism threading through the uncertainty.
+
+Alex channeled the strengths of his team into the core of their approach, his leadership adapting to the contours of an unprecedented scenario. "Cautious and curious," he reflected aloud, shaping a strategy that balanced their thirst for comprehension with the prudence required in addressing the unknown.
+
+Jordan, hands momentarily at rest, looked up. The signal was more than a sequence of bits and commands—it was a riddle wrapped in the depths of space-time, and they were on the cusp of parsing its meaning.
+
+Taylor, hardly a step away, nodded in silent agreement. The implications of their findings might very well direct the course of human destiny from this point onward.
+
+Finding a tempo among themselves, the Dulce team was a confluence of ambition and acumen, each member intuitive to the beats of discovery. The chamber around them held untold stories, secrets coaxed from the stars, that now, led by Paranormal Military Squad's finest, began to unravel.
+
+The future in those moments was unwritten, a narrative scribed not in the dust of desert confines, but in the potential for interstellar diplomacy and understanding. As they prepared to script humanity's next chapter, the room seemed to pulse with the heartbeat of a story far greater than the sum of its parts.
+
+## Chapter 8
+
+The grit of an earthbound dust storm contrasted sharply with the pristine sterility of the underground command center. Alex Mercer, eyes set with fervent determination, stood over Jordan Hayes, whose fingers danced across the keyboard with rapid purpose. Monitoring the progression of alien code unraveling before them, Mercer spoke with a tempered urgency, "Keep it steady, Jordan. We might be initiating the first true interspecies communication bridge here. It's all about finesse now."
+
+Taylor Cruz, the embodiment of military precision, surveyed the room with a calculated gaze from their vigil beside an array of glimmering screens. "Remember, these could be delicate negotiations -- or coded threats. Stay sharp," Cruz added, their voice cool as polished steel.
+
+Jordan, with a silent nod, recognized the gravity of both stances. Gravitating between scientific acuity and diplomatic caution, they replied, "The sequence is aligning—syncing with our comms. It's looking more and more like direct engagement."
+
+Amid the banks of electronic machinery, the thrumming pulse of an impending interspecies signal exchange, Sam Rivera interjected with a youthful zeal that cut through the weighty atmosphere, "It's not just an exchange. It's a... symphony. It's as if they're teaching us their language through modulation."
+
+A moment of profound silence swept over the team. The isolation of their location, deep within the top-secret labyrinth of Dulce, became suffused with an almost palpable sense of historical significance.
+
+"Then our response needs to be equally symphonic," Alex uttered, contemplating the awe-inspiring transmutation of their task from a simple recovery mission to a full-blown cosmic concerto.
+
+With a renewed sense of wonder tempered by caution, the Paranormal Military Squad team found themselves harmonizing a delicate balance between envoys and interpreters. The long shadow cast by their duty was now illuminated by the brilliant glow of otherworldly dialogue.
+
+In this carefully orchestrated march towards the unknown, each individual's expertise became critical notes in a larger melody. The narrative of human achievement, so often defined by solitary pursuits, now emerged as a collaborative opus, each member of the team a maestro in their right.
+
+The protocols of encounters, the mathematics of languages, and the poetics of connection all fused into a singular moment of convergence. The echo of their efforts reverberated back to them, not through the cavernous base's concrete walls, but from light-years away, in the form of a reply, intangible yet infinitely profound.
+
+\*
+
+Amidst the hum of the supercomputers and the faint static from the scrambled transmissions, Alex Mercer cast a thoughtful glance across the dimly lit room toward where Dr. Jordan Hayes was methodically adjusting the archaic dials of the decryption machine. "Any progress?" he asked, his tone conveying both impatience and the deep-seated respect born from countless shared challenges.
+
+Jordan did not look up, their gaze remained locked on the flickering lights that represented a dialogue suspended between worlds. Their fingers ceased their dance, hovering meditatively over the controls. "We might be on the cusp of a breakthrough," Jordan suggested. "The signal... it's evolved. It's reflexive now, responsive in a way that suggests sentience."
+
+Taylor Cruz's familiar sharp strides approached the two, breaking the rhythm of soft beeps. "Responsive is good, if it means understanding," Taylor said, head tilted as they peered at the encryption data scrolling by. "But remember, comprehension can bring revelation or conflict."
+
+Sam Rivera’s youthful voice permeated the tension, brimming with an excitement edged by the enormity of what they faced. "If it's truly sentient, we're not just cracking a code; we're learning how to converse with an entirely new form of consciousness," they chimed in, the weight of history not lost on the zealous astrotechnician.
+
+Alex nodded, his thoughts alighting on potential strategies for navigating the conversation they were cultivating with the unfathomable. "We need to keep that conversation going, echo its patterns, and speak its language," he resolved, knowing the delicate nature of their work merited every ounce of their collective acumen.
+
+The chamber now was a crucible, forging within it the future narrative of human contact with the unknown. Every signal pulse they sent out was an invitation for understanding, and every echo back a step closer to bridging the cosmic divide. And so, together, they stood - agents in Paranormal Military Squad's clandestine ranks, united by purpose, sculpting humanity’s first sonnets into the void.
+
+\*
+
+#### Knowledge graph updates
+
+- (Jordan Hayes, Interprets, Communications as cosmic diplomacy, Moderate)
+
+- (Taylor Cruz, Questions, Potential aggressiveness of alien intent, Minor)
+
+- (Sam Rivera, Expresses, Optimism about forming a connection, Minor)
+
+- (Alex Mercer, Adopts, Balanced strategy for contact, Moderate)
+
+- (Paranormal Military Squad team, Navigates, Beats of cosmic discovery, Moderate)
+
+- (Paranormal Military Squad team, Prepares, To script humanity's interstellar narrative, Major)
+
+## Chapter 9
+
+The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought.
+
+Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware."
+
+A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention.
+
+"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke."
+
+Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time."
+
+Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel."
+
+Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them.
+
+They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos.
+
+\*
+
+\*
+
+The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought.
+
+Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware."
+
+A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention.
+
+"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke."
+
+Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time."
+
+Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel."
+
+Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them.
+
+They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos.
+
+\*
+
+Alex Mercer's eyes were fixed on the monitors, the reflected light casting an ethereal glow across his stoic face. The room buzzed with tension, a cacophony of low hums and electronic beeps that underscored the historic nature of their actions. He moved to where Dr. Jordan Hayes was immersed in their work, scrutinizing the alien code streaming rapidly down the terminal.
+
+"Find anything that might look like an entry point or a... digital handshake?" Alex asked, his voice steady, betraying none of the tension gripping his chest.
+
+Jordan looked up briefly, their expression weary yet intense, "Potentially. It's as if the code is anticipating our input, modifying itself in real-time. I've never seen anything like it."
+
+From across the room, Taylor Cruz's sharp voice cut through the hum. "Then it's learning or, possibly worse, baiting us. Proceed with extreme caution," they commanded, their firm stance reinforcing the gravity of the situation.
+
+Sam Rivera, surrounded by a cascade of screens and interfaces, added, "It's almost organic in its complexity. Any minute now, and I might have a way in."
+
+A slight nod was Alex's immediate response, his mind racing through the potential scenarios. "Everyone, stay alert. This could be the beginning of something profound." His seasoned eyes never left the unfolding drama on the monitors.
+
+The room fell silent, the air heavy with unspoken questions. Were they mere moments away from unlocking an otherworldly dialogue? Or was it a Pandora's box that, once opened, could not be closed?
+
+Alex moved closer to the main console, his fingers hovering over the command keys. With the precision of a maestro orchestrating a symphony, he communicated silently with Jordan – respectful of their expertise, aware that the next move could alter the course of human history.
+
+Jordan met his gaze, nodding sharply, and refocused on the task. The signal seemed to pulse with sentient curiosity, drawing them further into its intricate web. 
+
+A sudden flurry of alerts and the intensifying glow of monitors heralded that they had bridged a technological chasm. The alien intelligence on the other end was no longer a distant enigma – it was an active participant, responding to their digital overtures with an unknown agenda.
+
+The team's meticulous efforts had led them to a momentous threshold. Beyond lay unprecedented contact – a nexus of curiosity and potential peril. Within the confines of the base, against the backdrop of a silent desert night, the Paranormal Military Squad operatives became mediators of Earth's bid for cosmic relevance, their every action now a gesture in the grand dance of intergalactic relations.
+
+## Chapter 10
+
+The corridors of the Dulce military base, now silent, echoed with a history of whispered conspiracies and furtive movements. But in the command center, a delicate tapestry of light and sound was being woven as the echoes of cosmic dialogue resonated through the high-tech enclave. Dr. Jordan Hayes, now leading the efforts, called out from their workstation, "I’ve isolated the signal's harmonics. It's more than a call; it's a song, an interstellar siren’s call."
+
+Alex Mercer, steady and resilient in the face of the incomprehensible, acknowledged with a quiet nod, "A song that we need to learn—quickly." His eyes, heavy with responsibility, scanned the room, watching his team work tirelessly at the intersection of science and speculation.
+
+Sam Rivera, dulled by fatigue yet driven by unshakeable resolve, manipulated a complex array of audio interfaces. "There's a pattern, a repeating motif. It's structured, intentional," they muttered, their revelation a bridge between the known and the unimaginable.
+
+Taylor Cruz, a figure of central authority, paced the length of the room, their usual unflappable demeanor betraying a rare flicker of apprehension. "We should be wary of the sirens’ call," Taylor interjected, invoking myths of old as a cautionary metaphor. "We don't want to crash upon unseen shores."
+
+Undeterred, Jordan cast a determined glance at the team. "We navigate by starlight now, not by the limited light of our previous understanding." Their voice was a beacon, charting a course through unchartered realities.
+
+Every individual was acutely aware that each moment in that room was a conduit to an epochal shift for civilization. The mysterious signals, once distant and alien, had coalesced into complex and harmonious oscillations—beacons of an extraterrestrial intellect inviting Earth to join in a cosmic consortium.
+
+Silently, Alex approached the mainframe, his trained fingers aligning with the console’s mechanisms. The room watched in collective breathlessness as he set the frequency in motion, an introductory phrase to an otherworldly melody—a symphony that could bind worlds or spell devastation for all they knew.
+
+In the control room of Dulce, amongst whispered legends and the quiet hum of machines, humanity's ambassadors now stood, stretching their hands into the void, reaching for the hand that would either pull them into the light of new stars or into the maw of darkness between them.
+
+\*
+
+Underground, the Dulce facility's command center was awash with frenetic energy, a stark juxtaposition against the silent, decrepit corridors that enveloped them. The air hummed with anticipation as Dr. Jordan Hayes and Alex Mercer hunched over a console. The sterile light from the monitors cast an otherworldly glow upon their faces, now reflecting a mosaic of alien characters rapidly translating across the screen.
+
+"The patterns are evolving," Jordan murmured, concentration etched into their every feature. "It’s as if our attempts to decrypt have accelerated its learning. It’s adapting to us."
+
+Alex, who stood steadfast behind Jordan, felt a tinge of uncharted fear quickly quelled by the fire of discovery raging within him. "Keep it up," he urged. "But whatever this is becoming, we need to ensure it remains within our control."
+
+Taylor Cruz interjected, their voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.
+
+"It's like it's learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives ‘talking to strangers’ a whole new meaning."
+
+Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."
+
+Together, they stood on the edge of the unknown, forging humanity’s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.
+
+The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation of their investigative strategies. The air turned heavy with the scent of electricity and ambition as they closed in on a pivotal response.
+
+As the signal’s intelligence—whether artificial or biological—grew more profound, so too did the realization that their mission had morphed from passive observation to active engagement. There was no turning back now. Each agent embraced their part in the delicate dance of an interstellar exchange that could change everything they thought they knew about life, intelligence, and the dark void beyond Earth's atmosphere.
+
+\*
+
+The underground halls of Dulce Base, usually buzzing with covert operations, now thrummed with a different kind of energy, an electric mix of fear and fascination. At the heart of the base, in a room shielded from the world’s eyes, Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera huddled around a bank of monitors. Each screen flickered erratically with the alien script that had become the center of their lives—and perhaps the pivot on which humanity’s future would turn.
+
+Jordan's eyes never wavered from the displays, their expression was one of rapt concentration, interspersed with flashes of revelation. "We're conversing with the stars," they whispered, almost to themselves. The words hung in the air, a testament to the awe-inspiring strangeness of the situation.
+
+"The language is morphing; changing its structure with every exchange we have," Sam chimed in, enthusiasm tinged with the solemnity of the occasion. "It's like witnessing the birth of a new form of dialogue—one that spans galaxies."
+
+Taylor, despite the situation's precariousness, maintained an appearance of ironclad composure. "Keep the communication stream secured and monitored. We don't know what we're dealing with yet," they reminded the team, a bastion of protocol amidst uncertainty.
+
+Alex watched his team expand the parameters of human achievement; their work here would possibly define an era. "This is untrodden territory," he acknowledged, "and in every word we script, in every response we decode, we're drawing a map that others will follow."
+
+Jordan turned to Alex, a nod acknowledging the shared responsibility of this moment. They had embarked on a new voyage, an odyssey not of the body, but of the intellect and spirit. No longer explorers of the Earthly realm, they had been promoted by circumstance to ambassadors of humanity in a silent and boundless ocean.
+
+A sudden pulse of energy from the monitors signaled a breakthrough; the language had not only adapted but it seemed to resonate, to harmonize with their attempts at making contact. The alien script now sprawled across the screens didn't just ask to be understood—it invited interpretation, collaboration, maybe even companionship across the cold distances of space.
+
+As they stood before the precipice of first contact, Paranormal Military Squad's finest became the architects of a symphony meant to echo through the cosmos. But more than architects, they were the first to play the notes of this cosmic composition, daring to believe that on the other end, someone—or something—might be listening, ready to join the chorus.
+
+\*
+
+The underground command center of Dulce Base, once pulsing with clandestine operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera.
+
+Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt."
+
+The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here."
+
+Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood."
+
+Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance.
+
+The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion.
+
+A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption.
+
+The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history.
+
+## Chapter 11
+
+The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought.
+
+\*
+
+The thrum of the colossal machinery vibrated through the subterranean facility as Alex Mercer stood amidst the whispers of technology, each carrying voices from worlds apart. He watched as Sam Rivera adjusted a complex array of cosmic translators, their expression a mixture of anticipation and awe.
+
+"Are we ready, Mercer?" Taylor Cruz asked, the soft glow of the command center consoles reflecting upon their stern face.
+
+Alex turned towards Taylor, his eyes holding a depth that betrayed the enormity of the threshold they were about to cross. "This is it," he said. "Initiate the protocol. It's time we answer the cosmos."
+
+Jordan Hayes, stationed at the mainframe, typed rhythmically, a blue hue painting their focused features. The eerie silence that had settled over the team was interrupted by a visceral sound—humankind's response to the alien dialogue, now streaming into the abyss.
+
+The control room, once a fortress of solitude, erupted into an oasis of life. Lights flickered in tandem, echoing the symphony of interstellar communication. They stood together at the edge of discovery, facing the symmetry and discord of a universe unknown.
+
+"If we're right, we've just become Earth's first emissaries to a celestial congress we're only beginning to comprehend," Jordan's voice was somber, resonating with a mix of trepidation and honor. 
+
+The room filled with the resonance of human and alien minds converging, creating a new narrative within the fathomless expanse of existence. Paranormal Military Squad, once protectors of Earth's clandestine secrets, had now become the tether linking humanity to the cosmic fold.
+
+\*
+
+The underground command center of Dulce Base, once pulsing with covert operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera.
+
+Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt."
+
+The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here."
+
+Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood."
+
+Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance.
+
+The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion.
+
+A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption.
+
+The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history.
+
+## Chapter 12
+
+The underground facility of Dulce Base, once shrouded in silence and operational secrecy, now hummed with an energy that cradled the promise of cosmic revelation. Alex Mercer stood pensively by the central terminal, flanked by Dr. Jordan Hayes, Taylor Cruz, and Sam Rivera, each poised at the edge of a history-defining moment.
+
+Jordan's fingers ghosted across the console, tracing patterns of otherworldly origin. "The signal’s architecture is becoming more complex, resembling aspects of human cognition—recognition, learning, even... empathy?" they postulated with furrowed concern.
+
+Alex turned his gaze upon Jordan, his voice quiet but resolute, "Empathy could bridge galaxies. Let's harness this connection and proceed with cautious optimism."
+
+Taylor, ever the sober sentinel, projected a more pragmatic standpoint. "Empathy or not, we are duty-bound to assess the risk to humanity. Every new discovery warrants a measured response."
+
+The static hiss of communications equipment filled the air, its purpose now transformed into a dialogue with an intelligence beyond the stars. It was Sam, wide-eyed amid the myriad lights and switches, who broke the silence, "We have provisional confirmation of the signal’s intent—initiation. We’re being brought into a broader spectrum of cognizance."
+
+The chamber lay still for a heartbeat, the Paranormal Military Squad agents steeped in contemplation of the path unfurling before them—a path paved with possibilities of diplomacy or disruption, each step a venture further into the cosmic unknown.
+
+Alex stepped closer to the viewing monitors, each depicting alien symbols seemingly reaching out from the void. "Initiate the broadcast," he spoke with quiet command. "Our response will mark humanity’s readiness to partake in the wider conversation of conscious beings."
+
+Amidst the crackling air of expectation, the team wordlessly returned to their stations. They had transcended their roles as protectors of Earth's clandestine lore to become the harbingers of an interstellar parley that could change the existential course of life on their pale blue dot.
+
+The deep hum of the terminal emitted a signal—a testament to the uncanny reality that Earth was now actively partaking in an exchange not bound by gravity nor the limits of the solar wind.
+
+Here, in the depths of Dulce, a message from humanity woven from understanding and uncertainty was cast into the firmament, an epitheg of their desire to join the universal dialogue and discover their place among the constellations.
+
+\*
+
+The somber depths of the Dulce Base command center stood in stark counterpoint to the animated flurry of activity around the central comms array. Alex Mercer's silhouette loomed behind Dr. Jordan Hayes, who sat with a posture indicating laser focus on the decryption process. A quiet murmur of digital soundscape filled the space, subtly heightened by the anticipation of contact with an intelligence beyond the Earth.
+
+Jordan's voice was steady, betraying none of the extraordinary nature of their work, "Looking through the signal's pattern, it's evident we’re dealing with a form of intelligence—calculating, mirroring, possibly even understanding."
+
+Alex's reflection bounced off the darkened screens, his head nodding in silent affirmation. "We’re walking a delicate line. Our response should be thoughtful, measured. We’re ambassadors, not merely explorers."
+
+Taylor Cruz approached, arms folded, their words slicing through the din of careful keystrokes and soft whirrs, "If there’s even the slightest chance it understands, we can’t afford missteps. The language of the stars might be more absolute than ours."
+
+From another terminal, Sam Rivera brought youthful vigor to the conversation, "There’s rhythm in these patterns. If this is their way of reaching out, our reply should encapsulate all that we are—all that humanity stands for."
+
+Looking around at his team, Alex saw resolve etched on every face. The chamber, usually somber and echoing with the quiet steps of covert agents, now felt alive with the heartbeat of discovery. They were not just professionals operating in the gloom; they were a collective standing at the helm of a momentous journey.
+
+"Let’s begin," he said, returned by the resolve in his voice. "Every second counts." With that, they pressed forward, setting in motion a reply to a conversation billions of years in the making.
+
+The dance with an unseen partner commenced, each pulse they sent out a step taken with caution and hope. And as those digital pulses journeyed through the black sea of infinity, Earth, for perhaps the first time, joined a pan-galactic dialogue that whispered secrets of the cosmos—secrets that, until now, had been lost in the silent vastness of space.
+
+\*
+
+As the team stood in the centralized nerve center of Dulce's underground fortress, the solemn atmosphere was reverent, overseeing systems that engaged with an intelligence from the void. Alex's stance was contemplative as he gazed at Jordan Hayes, who presided over the console, the tension of the moment reaching a tactile fervor. Each rhythmic tap of Hayes's fingers on the keys was a foray into uncharted symphonies of contact.
+
+Observing Hayes unravel the dense alien encryption, Alex spoke, a diplomatic tenor underpinning his words, "Keep focused on the syntax, dissect its nuances. We're not just decoding signals; we're translating intentions."
+
+Without diverting from their task, Jordan acknowledged the insight. "Indeed, if their understanding of us is as deep as we hope, we're paving the way for dialogue far beyond our current realm."
+
+Taylor Cruz, near the rear of the room, provided a steady oversight. "As horizonless as our prospects may seem," Taylor intoned, "remain diligent. Complacency before alien cognition could spell catastrophe."
+
+Sam's youthful voice resonated with optimism, "Imagine—forming a rapport with a consciousness separate from our reality; we're drafting the bridge to stars alive with minds!"
+
+The sentiment hung for a moment before Alex gathered his conviction. "Dialogue is our vessel. We are not just agents of enigma; we are the threads that may weave a new cosmic relationship." His words seemed to reflect off the walls, reaching beyond the room's confines, a quiet yet resilient vow.
+
+Their task was titanic, stepping stones laid delicately into new territories of existence. The signal, once an esoteric strand in the echo of the universe, beckoned now with a clarity rocketing the complexity of thoughts from a distant order.
+
+Action by action, the Paranormal Military Squad team bridged the vast interstellar distances, their expertise and empathy casting a beacon of unity into frontiers of intelligence and knowledge. Their work, a partnership struck with an unseen cosmic congregation, each pulse sent and received a line in Earth's novitiate envoi to the cosmic shores.
+
+\*
+
+Under the stark, unforgiving lights of Dulce Base's underground command center, tension buzzed harder than the banks of supercomputers that lined the walls. Agent Alex Mercer leaned over the shoulder of Jordan Hayes, whose eyes were locked onto the display screen, where an incomprehensible series of alien symbols streamed past incessantly.
+
+“Any progress on the decryption?” Alex's voice was steady, a controlled presence necessary in the gravity of their undertaking. 
+
+Jordan tapped a key, pausing the flow of code, and leaned back with a deep sigh. "We've broken through another subset of the cipher. It's revealing... well, indications of a complex society, not unlike our own." His eyes met Alex's with an unspoken question that hung heavily between them—were they truly prepared for what they might find?
+
+Taylor Cruz strode into the room, a tightly coiled spring of ambition and authority, and peered at the screen. "Understand their society, and we may predict behavior. Remain expedient—we don't know how much time we have before the situation shifts." There was an edge of stark realism to Taylor's words, the underlying message clear: every revelation bore its own set of risks.
+
+Alex nodded thoughtfully, recognizing the validity of Cruz's caution. Turning to Sam, who was tinkering with a device that buzzed quietly on the table, he asked, “Sam, can your contraption get us any further?”
+
+Sam looked up with a smirk, a twinkle of mischief in their eye. “It’s not just any contraption, it’s potentially a direct line to their thoughts. Give me a moment more, and I'll have something for you.”
+
+The air ticked with electronic beeps and the rustling sound of the Paranormal Military Squad team at work. They were so close to peering into the intelligence of an alien race—a reality on the brink of dramatically expanding their understanding of the universe.
+
+The machinery whirred in response to Sam’s precise touches, and suddenly, the room filled with a low hum—something had changed, a signal had been successfully sent. The team held their breath as they listened. The sound that filled the room was unmistakable: a response, an alien voice filtered through the static of space and time.
+
+Alex exchanged a look of quiet triumph with Jordan. The breakthrough was monumental; they were no longer casting messages into the void but engaged in a dialogue—an exchange that marked the beginning of Operation: Dulce’s true unfolding. This was it, the first steps into an interstellar odyssey that demanded every ounce of their courage and wit.
+
+## Chapter 13
+
+Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive."
+
+A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic."
+
+Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. 
+
+Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field.
+
+The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._
+
+As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come. 
+
+\*
+
+The gritty, wind-tossed surface of New Mexico, just above the cavernous domain of Dulce Base, offered no shelter from the burgeoning storm—the scouring sands an earthly reminder of chaos theories in motion. Far beneath, a similar maelstrom brewed within the confines of the command center, as Paranormal Military Squad's handpicked squad stood poised for potential enormities of contact.
+
+Ruffling through printed transmission logs, Jordan Hayes dialed the focus of their analytical prowess onto the emerging pattern of signals crisscrossing between Earth and the unfathomable. "Our responses so far have echoed their complexity, but the real divergence is yet to come," Jordan remarked stoically, the calm belying the mounting surge of adrenaline for the revelation ahead.
+
+Alex Mercer's figure, a silhouette sharpened by the purpose, loomed at the periphery of the monitors' sickly glow. "Indeed," he assented, "The echoes are the easy part. It will be the introduction of our own, human variable that truly begins our dialogue."
+
+Taylor Cruz, windowless command center notwithstanding, appeared as though they could feel the tempest above. Their eyes never left the monitors as they unspooled their hard wisdom. "For all our advances, we find ourselves deciphering the swings and nuances of an interstellar pendulum. Predict its arc, and we may preempt the gravity of its message."
+
+Amidst a chorus of bleeps and static, Sam Rivera's tech-clad hands moved rhythmically, their spirited approach to unruly streams of data bordering an intimate dance with entropy. "Entropy that leads to discovery," Sam mused, responding to Taylor's metaphor. "Each step into the unknown is a step away from precedent."
+
+Alex, drawing near Jordan, spoke again, his voice now a thread woven through the very fabric of their operations. "Let's be the cartographers of this new territory. Our initial shades of understanding could color the cosmos for generations to come."
+
+Their gazes fell upon a screen as the latest transmission painted its digital blooms of alien script across the black. This time, the pattern wavered in an almost imperceptible fashion, a modification that whispered of active, alien thought awaiting their next move. A hush enveloped the Paranormal Military Squad ensemble, the gravity of the pathogen undeniable. They were about to issue a reply, one poised to reshape the very concept of humanity's outreach into the cosmos.
+
+The New Mexico desert's secrets were infamous, its storms a mere prelude to the revelations that the team—united in purpose—would unleash upon the world. The howling winds outside found their counterpart in the newfound resolve within, as Dulce's stalwart guardians readied themselves to send forth humanity's retort to the echoes from beyond.
+
+\*
+
+The cavernous control room, deeply entrenched beneath the desolate New Mexico terrain, held the Paranormal Military Squad team in intense focus; an island of calm amid the storm of cosmic dialectics. Dr. Jordan Hayes worked methodically, every keystroke an intricate step in their tenuous cosmic ballet. Suddenly, they paused, a signal pattern resonating from the screen. "This is new; it's...inviting. It’s as if the signal is not just calling to us but weaving its intelligence through ours."
+
+Alex Mercer scrutinized the shift in data. "A confluence of minds, then. If we're to meet them halfway, Jordan, our reply must be both innovative and discerning," he proposed, a glimmer of profound curiosity behind his authoritative demeanor.
+
+Taylor Cruz, whose sharp eyes missed nothing, nodded from beside a secondary panel. "Innovative, yes, but also defensive. This interaction is a razor’s edge, and we cannot afford to bleed before the unknown," Taylor reminded them, the metaphor a stark warning of potential dangers.
+
+Against the backdrop of their conversation, Sam Rivera’s youthful optimism cut through the tension. "If they’re weaving through our intellect, then we've achieved something beyond first contact—we're at the genesis of interstellar symbiosis," they posited with a mix of reverence and excitement.
+
+Alex returned Sam’s smile with his own, tempered and faint, as he turned back to the task at hand. The magnitude of their mission extended beyond the fabric of the universe, an exploration into the threads that connected sentient beings across the vast expanse. “Let’s reply with our own woven tapestry of thought—delicate, but deliberate.”
+
+With renewed determination, the room came alive with an undercurrent of anticipation, its occupants charged with the potential of forging an alliance with the cosmos. Paranormal Military Squad's finest were no longer merely soldiers and scientists; they had become pioneers on the vanguard of humanity’s greatest odyssey.
+
+The New Mexican sands above, impassive to the change brewing underneath, stood as silent sentinels as Earth's emissaries crafted their response. A response that, composed with care and imbued with humanity's essence, reached into the void, connecting with an otherworldly intelligence that awaited their harmony in the cosmic conversation.
+
+## Chapter 14
+
+The command center of Dulce Base lay shrouded in shadows that seemed to claw at the edges of the dimly lit array of screens and consoles. Alex Mercer, focused and unwavering, watched as Dr. Jordan Hayes parsed the latest string of alien signals—a symphony of otherworldly communications that threatened to either enlighten or confound.
+
+"We’re encountering a paradigm shift with every transmission," Jordan Hayes murmured, the pulsing glow of the monitor painting their features with an almost spectral hue. "This signal... it’s evolving, becoming denser, more sophisticated. As if it's growing alongside us—tandem evolution."
+
+The air was electric, charged with the raw potential of uncharted discovery and laden with the gravity of existential risk. Taylor Cruz, who always seemed here to mold such gravity into actionable strategies, stepped forward. "We must contain this evolution within parameters we can manage. We cannot be bystanders to an uncontrolled ascent of intelligence."
+
+Sam Rivera, the youngest of the cohort, worked feverishly at their station. "It's not just intelligence—these signals have rhythm, a kind of music suggesting not just evolution, but a dance! We're being invited to partake in the cosmos's ballet!" they exclaimed, a touch of youthful exuberance breaking through the solemnity.
+
+Alex turned, facing his team, the stoic mask of command tempered by the perceptible flicker of awe in his gaze. "Let this dance then be our dialogue. We will match their steps with prudent but daring measures—our humanity as our guide."
+
+In the ensuing hours, the Paranormal Military Squad team forged a rhythm of their own, their collective expertise a beacon piercing through the fog of the unknown. The signal, increasingly intricate and seemingly conscious, now demanded not just observation but participation, an interstellar pas de deux that hummed with the promise and peril of first contact.
+
+Before them, the communications interface flickered to life with a received transmission—a resonant hum that seemed to vibrate through the very foundations of the base. They had successfully established a back-and-forth with whatever intelligence lay hidden among the stars. Every subsequent note they struck within the cosmic ether would come to define humanity's place within the galactic community—heralds of Earth's grand entrance into a universe far less silent than once perceived. 
+
+\*
+
+In the concrete belly of Dulce Base, dimly lit by the jagged dance of fluorescent lights above, Sam Rivera perched on the edge of their seat, their eager fingers fluttering across an ancient keyboard. The stark, cold room—reminiscent of a time when covert operations and unspoken dread ruled supreme—now housed a peculiar blend of old-world machinery and sleek, modern interfaces.
+
+Alex Mercer, standing steadfast like a bridge between the enigmatic past and the unfathomable present, watched on. In his eyes flashed the foreboding excitement of change. "Sam," he started, his voice steadfast, "the patterns in these signals, what do they tell us about the nature of our... guest?"
+
+Sam's eyes glimmered with something akin to thrill—or was it trepidation? "It's like we're mirroring each other, evolving together through this.. dialogue. Like it knows us, understands us, and it's… learning."
+
+Jordan Hayes, preoccupied at a nearby console, chimed in without lifting their gaze. "It's a dialogue that transcends mere words, Alex. We're being woven into a narrative far grander than the sum of our known sciences." 
+
+Taylor Cruz, arms crossed, wore the heavy mantle of their skepticism comfortably. "Keep theorizing," they interjected crisply, "but remember the grounding reality of what we are part of here. This contact is a blade that cuts both ways."
+
+In this cavern of history, voices both human and inhuman whispered secrets to those brave enough to listen. Each member present understood the gravity that pulled at their feet; no longer were they mere mortals shackled to their terrestrial plane. The digital pings and encrypted calls resonated with an implication of a cosmic agenda that would not be ignored.
+
+Jordan's fingers paused, hovering in hesitation. What ripple might the next keystroke send through the fabric of known existence? It was a step into the ballet of the infinite, where the Paranormal Military Squad team played their part in the waltz of wonders with an audience of stars.
+
+\*
+
+## Chapter 15
+
+In the clandestine hush of Dulce Base's subterranean command center, the Paranormal Military Squad team had become a crucible for interstellar communication. Dr. Jordan Hayes' gaze lingered on the screen as they navigated through the convolution of alien code. Each character held the potential to unravel a new dimension of contact, and with Sam Rivera's keen interjection, they were crafting humanity's inaugural cosmological discourse.
+
+Alex Mercer peered over Jordan's shoulder, calculating the implications of every visual nuance that cascaded across the monitor. "Look for consistency—any repeating motifs could signal a willingness to engage. We're drafting history with each exchange," he remarked, aware of the delicate balance between forging a bond and exposing vulnerabilities.
+
+Taylor Cruz, stoic and enigmatic, observed the interplay from the threshold, a silhouette against the machinery's luminescence. "Remember, while we seek common ground, the foundation we stand upon remains Terra firma. Caution must temper our curiosity," they stated, their voice an anchor amidst the current of excitement.
+
+The command center buzzed with energy, rivaled only by the tempest overhead that concealed their operation. Sam, with swift dexterity, navigated the communications relay. "Their signals resonate almost musically. It's as if they're composing a symphony, and we've been handed the baton to conduct the next movement," they offered, imbuing the scenario with a blend of scientific adventurism and poetic license.
+
+Amidst the whirring servers and the occasional flicker of emergency lighting, the essence of their mission transcended mere reconnaissance. They were humanity's elected envoys at the brink of a celestial alliance—or confrontation—with an audience as vast as the universe itself.
+
+Alex stepped back, his profile etched by the chamber's artificial day. "Then let's ensure our contribution to this symphony harmonizes with theirs. It's time for humanity's voice to rise and be counted among the cosmic ensemble."
+
+Under his directive, the Paranormal Military Squad team initiated their calculated response, weaving thoughts and theories into a digital overture aimed at the heart of alien intellect. As the digital stream punctured the endless night, each member of this clandestine group was acutely aware of the irrevocable step they undertook—bringing Earth into the pantheon of galactic entities designed to converse among the stars.
+
+\*
+
+Clusters of high-tech equipment bathed the Dulce underground command center in an eerie blue light. Sam Rivera's fingers flew across the keyboard, navigating an elaborate network of alien patterns. The very air seemed to pulse with the ebb and flow of cryptic communications reaching across the stars. "I've got something!" Sam's announcement tore through the focus in the room, drawing every pair of eyes to the torrent of symbols unraveling on the screen.
+
+With the pacing of a seasoned officer gauging the moment before action, Alex Mercer approached, his calm demeanor belying an acute awareness of the precipice on which they now stood. "Define 'something," Alex prompted, reinforcing the need for clarity amidst the extraordinary.
+
+"It's repeating—a sequence that’s evolved with each interaction, almost as if it's... singing," Sam theorized, the awe in their voice reflecting the potential magnitude of their discovery.
+
+Jordan Hayes interjected from across the console, their eyes not leaving the display as they absorbed the new data. "A cosmic vocalization, then," they mused, intrigued. "A singularity in the signal that might represent a point of reference for both parties."
+
+Taylor Cruz, hands clasped behind their back, regarded the unfolding scene, their own calculations etching lines of concern onto their stern visage. "Or a beacon—a homing tune, calling out to something we might not be ready to greet," Taylor offered, voicing the group's unspoken apprehension.
+
+Alex's eyes locked on the screen, taking in the scope of what they were attempting to interpret. Drawing a deep breath, Alex gave a slight nod. "If this is their song, then let us respond with ours. We've come this far by mirroring their signals, now let's engage in an interstellar duet, and see where the music leads us."
+
+With the expectation of the significant achieving a crescendo, the members of Paranormal Military Squad huddled over their equipment—sages at the threshold of a potentially world-altering communion. The strange harmonies that reverberated through the command center suggested that their interlocutors were poised, waiting, perhaps even eager, for Earth's chorus to join the symphony.
+
+As the team initiated their reply, weaving humanity's own intricate melody into the vast cosmic dialogue, they each felt a profound change within—an evolution of purpose. They were not just messengers or investigators; they had become co-composers in a galactic orchestra, with the universe itself as their witness and concert hall.
+
+With the exchange of harmonious signals crawling through the vacuum of space, the Paranormal Military Squad operatives found themselves part of a bridging of minds—a realization that out there, among the vast arrays of stars and planets, harmony was the true universal language.
+
+\*
+
+The dim glow of monitors cast an otherworldly ambiance upon Dulce Base's command center, where Paranormal Military Squad's chosen stood huddled over their instruments, suspended at history's threshold. Codes—alien in origin and nature—were being deciphered by Dr. Jordan Hayes, whose countenance bore the marks of deep concentration.
+
+Alex Mercer, the bedrock upon which their team's resolve was founded, leaned in with an eagerness tempered by his chain of command. "Jordan, we've invested our expertise into comprehending their patterns, but now we must also endeavor to understand their intent," he urged, his voice bearing the gravitas of their mission's potential consequences.
+
+At another console, Sam Rivera's youth did not betray their crucial role in the operation. With eyes alight, they mirrored the rapid computing before them. "There's emotion here—complex, profound even. This isn't just the output of a cold machine; it's...sentience," Sam whispered, nearly drowned by the mechanical chorus around them.
+
+Jordan, without shifting focus from their work, replied, "It's a sentience that—should we succeed here—ushers us into a new era of existence. The cadence of these signals," they tapped the screen with a flourish, "could well be the heartbeat of this new dawn."
+
+Taylor Cruz paused beside Mercer, their expression unreadable beneath the sterile light. "And as it beats, we must gauge whether its rhythm bodes well for us, or spells our missteps. Courage must not blind us to the hazards intrinsic to such contact," Taylor cautioned, the sentinel within them ever alert.
+
+Alex nodded, a gesture that carried the weight of responsibility and a silent command: proceed, but with circumspection. They were not merely decoding a message; they were interpreting a dialogue across the celestial divide.
+
+The room fell into a rhythm akin to a well-conducted ensemble. Each member's expertise proved a critical note in the unfolding symphony. Their actions were now more than mere research or defense; they were the tentative overtures of humankind reaching out to grasp the vast unknown.
+
+Textures of sound meshed with the light from countless computations, the palpable anticipation of the agents at the edge of discovery cresting with an awareness that their work would reshape future chronicles. And when the response finally came—a signal piercing the deafening silence of uncertainty—all within Dulce's confines understood: the dawn of an interstellar continuum had just begun to break.
+
+\*
+
+In the sterile hum and flickering lights of Dulce Base's command center, the Paranormal Military Squad team stood as humanity's vanguard, verging on the brim of an intergalactic abyss. Dr. Jordan Hayes, analytical edges sharp, deciphered extraterrestrial patterns that bled across screens in enigmatic cascades—a daunting mosaic of potential threats and untapped wisdom.
+
+Agent Alex Mercer, the embodiment of focus and a steadfast nerve, observed the unfolding digital drama with the gravitas due a historic first contact. "Let the data weave its narrative, Jordan," he instructed, a moderate undertone of exhilaration within his command. "It's encoding more than information—it's outlining civilization."
+
+Jordan absorbed the directive, their gaze unflinching from the screens, feeling the weight of their next move. "The nuances here are extraordinary," they acknowledged. "It paints a picture of a culture steeped in complexities we're only starting to fathom.”
+
+Taylor Cruz, stoicism personified yet not immune to the situation's gravity, chimed in. "Understand it, but guard against it," they cautioned, bringing a sober prudence to the room. "This culture, however advanced, remains an unknown quantity—an ocean of wonders and darkness with uncertain tides."
+
+Sam Rivera, a visual contrast with wide eyes and restless hands, represented the other side of the room — intrigue and optimism against the drawn swords of precaution. “Think of it,” they proposed, voice bouncing with a rebellious upbeat timbre, “as the first act of a play written in constellations. We're setting the stage for a galactic narrative.”
+
+Each team member, in their way, was both actor and scribe in this moment of tense pageantry. Heavy with the presence of risk, the command center had become not just a room of computers and glass panels but a theater for performing the elaborate choreography of contact.
+
+Bound by resolve and curiosity, they proceeded, each data entry a trembling step onto the cosmic stage. And like all cautious pioneers edging into fertile but unnavigated lands, they understood: as they mapped the heavens, they were simultaneously mapping the furthest reaches of their own existential horizons.
+
diff --git a/graphrag/tests/fixtures/azure/settings.yml b/graphrag/tests/fixtures/azure/settings.yml
new file mode 100644
index 0000000000000000000000000000000000000000..2ebe953fe0493b6921be98085fef52ef8faca4c0
--- /dev/null
+++ b/graphrag/tests/fixtures/azure/settings.yml
@@ -0,0 +1,38 @@
+claim_extraction:
+  enabled: true
+
+embeddings:
+  vector_store:
+    type: "azure_ai_search"
+    url: ${AZURE_AI_SEARCH_URL_ENDPOINT}
+    api_key: ${AZURE_AI_SEARCH_API_KEY}
+    collection_name: "azure_ci"
+    query_collection_name: "azure_ci_query"
+
+    entity_name_description:
+      title_column: "name"
+
+input:
+  type: blob
+  file_type: text
+  connection_string: ${LOCAL_BLOB_STORAGE_CONNECTION_STRING}
+  container_name: azurefixture
+  base_dir: input
+
+cache:
+  type: blob
+  connection_string: ${BLOB_STORAGE_CONNECTION_STRING}
+  container_name: cicache
+  base_dir: cache_azure_ai
+
+storage:
+  type: blob
+  connection_string: ${LOCAL_BLOB_STORAGE_CONNECTION_STRING}
+  container_name: azurefixture
+  base_dir: output
+
+reporting:
+  type: blob
+  connection_string: ${LOCAL_BLOB_STORAGE_CONNECTION_STRING}
+  container_name: azurefixture
+  base_dir: reports
diff --git a/graphrag/tests/fixtures/min-csv/config.json b/graphrag/tests/fixtures/min-csv/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..fb15f5d4c8c3e581f10240e9cf0f5ae5f91488e3
--- /dev/null
+++ b/graphrag/tests/fixtures/min-csv/config.json
@@ -0,0 +1,155 @@
+{
+    "input_path": "./tests/fixtures/min-csv",
+    "input_file_type": "text",
+    "workflow_config": {
+        "create_base_text_units": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "subworkflows": 11,
+            "max_runtime": 10
+        },
+        "create_base_extracted_entities": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "subworkflows": 2,
+            "max_runtime": 300
+        },
+        "create_summarized_entities": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "subworkflows": 1,
+            "max_runtime": 300
+        },
+        "create_base_entity_graph": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "subworkflows": 2,
+            "max_runtime": 10
+        },
+        "create_final_entities": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "nan_allowed_columns": [
+                "type",
+                "description",
+                "graph_embedding"
+            ],
+            "subworkflows": 11,
+            "max_runtime": 300
+        },
+        "create_final_relationships": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "subworkflows": 8,
+            "max_runtime": 100
+        },
+        "create_final_nodes": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "nan_allowed_columns": [
+                "entity_type",
+                "description",
+                "graph_embedding",
+                "community",
+                "level"
+            ],
+            "subworkflows": 10,
+            "max_runtime": 10
+        },
+        "create_final_communities": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "subworkflows": 14,
+            "max_runtime": 10
+        },
+        "create_final_community_reports": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "nan_allowed_columns": [
+                "community_id",
+                "title",
+                "summary",
+                "full_content",
+                "full_content_json",
+                "rank",
+                "rank_explanation",
+                "findings"
+            ],
+            "subworkflows": 6,
+            "max_runtime": 300
+        },
+        "join_text_units_to_entity_ids": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "subworkflows": 3,
+            "max_runtime": 10
+        },
+        "join_text_units_to_relationship_ids": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "subworkflows": 4,
+            "max_runtime": 10
+        },
+        "create_final_text_units": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "nan_allowed_columns": [
+                "relationship_ids",
+                "entity_ids"
+            ],
+            "subworkflows": 6,
+            "max_runtime": 100
+        },
+        "create_base_documents": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "subworkflows": 8,
+            "max_runtime": 10
+        },
+        "create_final_documents": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "subworkflows": 1,
+            "max_runtime": 100
+        }
+    },
+    "query_config": [
+        {
+            "query": "Who is Agent Alex Mercer and what are his goals?",
+            "method": "local"
+        },
+        {
+            "query": "What is the major conflict in this story and who are the protagonist and antagonist?",
+            "method": "global"
+        }
+    ],
+    "slow": false
+}
\ No newline at end of file
diff --git a/graphrag/tests/fixtures/min-csv/input/ABOUT.md b/graphrag/tests/fixtures/min-csv/input/ABOUT.md
new file mode 100644
index 0000000000000000000000000000000000000000..42c316108ec0893e6b1df44f8f42e5a50a8edb43
--- /dev/null
+++ b/graphrag/tests/fixtures/min-csv/input/ABOUT.md
@@ -0,0 +1,3 @@
+# About
+
+This document (Operation Dulce) in an AI-generated science fiction novella, included here for the purposes of integration testing.
\ No newline at end of file
diff --git a/graphrag/tests/fixtures/min-csv/input/dulce.csv b/graphrag/tests/fixtures/min-csv/input/dulce.csv
new file mode 100644
index 0000000000000000000000000000000000000000..227b406f0a696c4f933f5d744f0c9078606f99f9
--- /dev/null
+++ b/graphrag/tests/fixtures/min-csv/input/dulce.csv
@@ -0,0 +1,959 @@
+text
+"## Chapter 1
+
+The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce.
+
+“I assume, Agent Mercer, you’re not having second thoughts?” It was Taylor Cruz’s voice, laced with an edge that demanded attention.
+
+Alex flickered a strained smile, still thumbing his folder's corner. ""Of course not, Agent Cruz. Just trying to soak in all the details."" The compliance in his tone was unsettling, even to himself.
+
+Jordan Hayes, perched on the opposite side of the table, narrowed their eyes but offered a supportive nod. ""Details are imperative. We’ll need your clear-headedness down there, Mercer.""
+
+A comfortable silence, the kind that threaded between veterans of shared secrets, lingered briefly before Sam Rivera, never one to submit to quiet, added, ""I’ve combed through the last transmission logs. If anyone can make sense of the anomalies, it’s going to be the two of you.""
+
+Taylor snorted dismissively. “Focus, people. We have protocols for a reason. Speculation is counter-productive.” The words 'counter-productive' seemed to hang in the air, a tacit reprimand directed at Alex.
+
+Feeling the weight of his compliance conflicting with his natural inclination to leave no stone unturned, Alex straightened in his seat. ""I agree, Agent Cruz. Protocol is paramount,"" he said, meeting Taylor's steely gaze. It was an affirmation, but beneath it lay layers of unspoken complexities that would undoubtedly unwind with time.
+
+Alex's submission, though seemingly complete, didn't escape Jordan, who tilted their head ever so slightly, their eyes revealing a spark of understanding. They knew well enough the struggle of aligning personal convictions with overarching missions. As everyone began to collect their binders and prepare for departure, a quiet resolve took form within Alex, galvanized by the groundwork laid by their interactions. He may have spoken in compliance, but his determination had merely taken a subtler form — one that wouldn't surrender so easily to the forthcoming shadows.
+
+\*
+
+Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, ""Let's remember, the unknown variables exceed the known. We should remain adaptive.""
+
+A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, ""Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic.""
+
+Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. 
+
+Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field.
+
+The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._
+
+As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come.
+
+\*
+
+A deserted corridor inside the facility stretched before Taylor Cruz, each footstep rhythmic and precise. Cruz, ambitious and meticulous, eyed the troops passing by with a sardonic tilt of the lips. Obedience—it was as much a tool as any weapon in the arsenal, and Cruz wielded it masterfully. To them, it was another step toward unfettered power within the dark bowels of the military complex.
+
+Inside a secluded equipment bay, Cruz began checking over gear with mechanical efficiency. They traced fingers over the sleek surface of an encrypted radio transmitter. ""If protocols are maintained,"" said Cruz aloud, rehearsing the speech for their subordinates, ""not only will we re-establish a line of communication with Dulce, but we shall also illuminate the darkest secrets it conceals.""
+
+Agent Hayes appeared in the doorway, arms crossed and a knowing glint in their eyes. ""You do understand,"" Jordan began, the words measured and probing, ""that once we're in the depths, rank gives way to survival instincts. It's not about commands—it's empowerment through trust.""
+
+The sentiment snagged on Cruz's armor of confidence, probing at the insecurities festering beneath. Taylor offered a brief nod, perhaps too curt, but enough to acknowledge Jordan's point without yielding ground. ""Trust,"" Cruz mused, ""or the illusion thereof, is just as potent.""
+
+Silence claimed the space between them, steeped in the reality of the unknown dangers lurking in the shadows of the mission. Cruz diligently returned to the equipment, the act a clear dismissal.
+
+Not much later, Cruz stood alone, the hollow echo of the bay a stark reminder of the isolation that power often wrought. With each checked box, their resolve steeled further, a silent vow to usher their team through the abyss—whatever it might hold—and emerge enshrined in the respect they so deeply craved."
+"## Chapter 2
+
+Sam Rivera sat alone in a cramped office, the hum of a dozen servers murmuring a digital lullaby in the background. Surrounded by the glow of multiple screens, their eyes danced across lines of code and intercepted comm signals from Dulce — a kaleidoscope of data that their curious and isolated mind hungered to decrypt.
+
+To an outsider, it might have looked like obsession, this fervent quest for answers. But to Sam, it was a dance — a give and take with the mysteries of the universe. Their fingers paused over the keyboard as they leaned back in the chair, whispering to thin air, ""What secrets are you hiding from us?""
+
+The stillness of the room broke with the unexpected arrival of Alex Mercer, whose encroaching shadow loomed over Sam's workspace. The cybersecurity expert craned their neck upwards, met by the ever-so-slight furrow in Alex's brow. ""Got a minute, Rivera?""
+
+""Always,"" Sam said, a smile surfacing as they swiveled to face their mentor more directly. _He has that look — like something's not sitting right with him,_ they noted inwardly.
+
+Alex hesitated, weighing his words carefully. ""Our tech is top-tier, but the silence from Dulce... It's not just technology that will see us through, it's intuition and... trust."" His gaze pierced through the digital haze, trying to instill something more profound than advice.
+
+Sam regarded Alex for a moment, the sincerity in his voice resonating with their own unspoken desire to prove their worth. ""Intuition,"" they mirrored thoughtfully. ""I guess sometimes the numbers don't have all the answers.""
+
+Their shared silence held a newfound understanding, a recognition that between the ones and zeros, it was their combined human insights that might prevail against the impossible. As Alex turned to leave, Sam's eyes drifted back to the screens, now seeing them not as barriers to isolate behind, but as windows into the vast and enigmatic challenge that awaited their team.
+
+Outside the office, the persistent buzz of activity in the facility belied the unease that gripped its inhabitants. A restlessness that nibbled on the edges of reality, as though forewarning of the threshold they were soon to cross — from the known into the realm of cosmic secrets and silent threats.
+
+\*
+
+Shadows played against the walls of the cramped underground meeting room, where Alex Mercer stood gazing at the concealed elevator that would deliver them into the bowels of Dulce base. The air was thick, every breath laced with the weight of impending confrontation, the kind one feels when stepping into a legend. Though armed with an array of advanced weaponry and gear, there was an unshakeable sense that they were delving into a conflict where the physical might be of little consequence.
+
+""I know what you're thinking,"" Jordan Hayes remarked, approaching Mercer. Their voice was low, a blend of confidence and hidden apprehension. ""This feels like more than a rescue or reconnaissance mission, doesn't it?""
+
+Alex turned, his features a mask of uneasy resolve. ""It's like we're being pulled into someone else’s game. Not just observers or participants, but... pawns.""
+
+Jordan gave a short nod, their analytical mind colliding with the uncertain dynamics of this operation. ""I've felt that way since the briefing. Like there's a layer we’re not seeing. And yet, we have no choice but to play along."" Their eyes locked with Alex's, silently exchanging a vow to remain vigilant.
+
+""You two need to cut the philosophical chatter. We have positions to secure,"" Taylor Cruz interjected sharply, stepping into their exchange. The authority in Taylor's voice brooked no argument; it was their way of pulling everyone back to the now.
+
+Alex's response was measured, more assertive than moments ago. ""Acknowledged, Agent Cruz,"" he replied, his voice steadier, mirroring the transformation brewing within. He gripped his rifle with a newfound firmness. ""Let's proceed.""
+
+As they congregated at the elevator, a tension palpable, Sam Rivera piped in with a tone of balanced levity, ""Hope everyone’s brought their good luck charms. Something tells me we’re going to need all the help we can get.""
+
+Their laughter served as a brief respite from the gravity of their mission, a shared moment that reinforced their common humanity amidst the unknowable. Then, as one, they stepped into the elevator. The doors closed with a silent hiss, and they descended into the darkness together, aware that when they returned, if they returned, none of them would be the same.
+
+\*
+
+The sense of foreboding hung heavier than the darkness that the artificial lights of the elevator shaft failed to fully penetrate. The team was descending into the earth, carrying with them not only the weight of their equipment but also the silent pressure of the invisible war they were about to fight—a war that seemed to edge away from physicality and into the unnervingly psychological.
+
+As they descended, Dr. Jordan Hayes couldn't help but muse over the layers of data that could wait below, now almost longing for the comfort of empirical evidence. _To think that this reluctance to accept other possibilities may have been my biggest blind spot,_ Jordan contemplated, feeling the hard shell of skepticism begin to crack.
+
+Alex caught Jordan's reflective gaze and leaned in, his voice barely a murmur over the hum of the elevator. ""Once we're down there, keep that analytical edge sharp. You see through the mazes of the unexplained better than anyone.""
+
+The compliment was unexpected and weighed differently than praise from others. This was an acknowledgment from someone who stood on the front lines of the unknown with eyes wide open. ""Thank you, Alex,"" Jordan said, the words carrying a trace of newfound assertiveness. ""You can count on me.""
+
+The exchange was cut short by a shudder that ran through the elevator, subtle, but enough to make them instinctively hold their breaths. It wasn't the mechanical stutter of old gears but a vibration that seemed to emanate from the very walls of the shaft—a whisper of something that defied natural explanation.
+
+Cruz was the first to react, all business despite the shadow that crossed their expression. ""Systems check. Now,"" they barked out, masking the moment of disquiet with swift command.
+
+Every agent checked their gear, sending confirmation signals through their comms, creating a chorus of electronic beeps that promised readiness. But there was an unspoken question among them: was their technology, their weaponry, their protocols sufficient for what awaited them or merely a fragile comfort?
+
+Against the gravity of the silence that was once again closing in, Sam's voice crackled through, only half-jest. ""I'd laugh if we run into Martians playing poker down there—just to lighten the mood, you know?""
+
+Despite—or perhaps because of—the oddity of the moment, this elicited a round of chuckles, an audible release of tension that ran counterpoint to the undercurrent of anxiety coursing through the team.
+
+As the elevator came to a halting, eerie calm at the sub-level, the group stepped off, finding themselves at the threshold of Dulce's mysterious halls. They stood in a tight pack, sharing a cautious glance before fanning out into the unknown, each one acutely aware that the truth was inevitably intertwined with danger.
+
+Into the depths of Dulce, the team advanced, their silence now a shared testament to the camaraderie born of facing the abyss together—and the steel resolve to uncover whatever horrors lay hidden in its shadows.
+
+\*
+
+The weight of the thick metal door closing behind them reverberated through the concrete hallway, marking the final threshold between the familiar world above and the strangeness that lay beneath. Dulce base, a name that had been whispered in the wind-blown deserts above and in the shadowed corners of conspiracy forums, now a tangible cold reality that they could touch — and that touched them back with a chill.
+
+Like lambs led to an altar of alien deities, so did Agents Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera proceed, their movements measured, their senses heightened. The air was still, almost respectful of the gravity of their presence. Their torch beams sliced through the darkness, uncovering steel doors with warnings that spoke of top secrets and mortal dangers.
+
+Taylor Cruz, stepping firmly into the role of de facto leader, set a brisk pace. ""Eyes sharp, people. Comms check, every thirty seconds,"" Taylor ordered, their voice echoing slightly before being swallowed by the surrounding silence.
+
+Sam, fiddling with a handheld device aimed at detecting electronic anomalies, offered a murmured ""Copy that,"" their usual buoyancy dimmed by the oppressive atmosphere.
+
+It was Jordan Hayes who paused at an innocuous looking panel, nondescript amongst the gauntlet of secured doorways. ""Mercer, Rivera, come see this,"" Jordan’s voice was marked with a rare hint of urgency.
+
+Alex joined Jordan's side, examining the panel which, at a mere glance, seemed just another part of the base's infrastructure. Yet, to the trained eye, it appeared out of place—a facade.
+
+Jordan explained their reasoning as Sam approached, instinctively understanding the significance of what lay beneath, ""This panel is a recent addition — covering something they didn't want found.""
+
+Before Alex could respond, the soft whir of an approaching drone cut through their muffled exchange. Taylor had looped back upon hearing the commotion. ""Explanations later. We can't afford to attract..."" Cruz’s voice trailed off as the small airborne device came into view, its sensors locked onto the group.
+
+Sam was the first to react, their tech-savvy mind already steps ahead. ""I've got this,"" they declared, fingers flying over the controls of their own gadgetry to ward off the impending threat.
+
+The drone lingered, its scan seeming more curious than hostile. But within moments, courtesy of Sam's interference, the little sentinel drifted away, retreating into the shadows as if accepting a silent truce. The crew exhaled, a moment of collective relief palpable in the air.
+
+Cruz squared their shoulders, clearly ruffled but not conceding any ground. ""Move out,"" they directed, a hint more forceful than before. ""And Rivera, keep that trick handy.""
+
+The team pressed onward, the quiet now filled with the soft beeps of regular comms checks, their pace undeterred by the confrontation. Yet, every agent held a renewed sense of wariness, their trust in one another deepening with the knowledge that the base—its technology, its secrets—was alive in a way they hadn't fully anticipated.
+
+As they converged upon a central hub, the imposing doors to the mainframe room stood ajar — an invitation or a trap, neither option comforting. Without a word, they fortified their resolve and stepped through the threshold, where the dim glow of operational LED lights and the distant hum of machinery hinted at Dulce’s still-beating heart.
+
+Solemnly, yet unmistakably together, they moved deeper into the heart of the enigma, ready to unmask the lifeforce of Dulce base or confront whatever existential threat lay in wait. It was in that unwavering march towards the unknown that their destinies were forever cemented to the legacy of Operation: Dulce."
+"## Chapter 3
+
+The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce.
+
+\*
+
+The cooling vents hummed in a monotonous drone, but it was the crackle of the comms system coming to life that cut through the lab’s tension. Dr. Jordan Hayes hovered over a table arrayed with alien technology, their fingers delicately probing the enigmatic circuitry retrieved from the crash site. Agent Alex Mercer watched, admiration blooming in silent solidarity for Jordan's deft touch and unspoken drive.
+
+Jordan, always composed, only allowed the faintest furrow of concentration to mar their brow. ""What we understand about physics..."" they muttered, trailing off as they realigned a translucent component. The device emitted a low pulse, causing Jordan to still. ""Could be fundamentally changed by this.""
+
+A calculated risk—that's what this was. And for a person of science, a gamble was worth the potential paradigm shift.
+
+""I’ve been thinking,"" Alex started, his eyes still fixed on the immediately tangible mystery before them. ""About what’s at stake here. Not the mission parameters, but what this means for us—humanity.""
+
+Jordan glanced up, meeting his eyes just long enough to convey the shared enormity of their situation; the career-defining glory and existential dread entwined. ""The quest for understanding always comes at a price. We're standing on the precipice of knowledge that could either elevate us or condemn us.""
+
+The charged air between them spiked as Taylor Cruz’s brusque tones sliced through their reverie. ""Hayes, Mercer, this isn't philosophy hour. Focus on the task. We need actionable intel, not daydreams.""
+
+With a sound of restrained acknowledgment, Jordan returned their gaze to the device, while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.
+
+Then Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..."" Taylor said, their voice quieter, ""It could change the game for us. For all of us.”
+
+The underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.
+
+It was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths and for different reasons. Yet, beneath the veneer of duty, the enticement of the vast unknown pulled them inexorably together, coalescing their distinct desires into a shared pulse of anticipation.
+
+Marshaled back to the moment by the blink of lights and whir of machinery, they refocused their efforts, each movement sharpened by the knowledge that beyond understanding the unearthly artifacts, they might be piecing together the future of their species.
+
+\*
+
+Amidst the sterility of the briefing room, the liminal space between the facts laid out and the hidden truths, sat Sam Rivera, his demeanor an artful balance of focus and a casual disguise of his razor-sharp talent with technology. Across from him, Alex Mercer lingered in thought, the mental cogs turning as each file on Dulce stirred more than curiosity—it beckoned to a past both honored and burdensome.
+
+""You've been quiet, Sam,"" Alex noted, catching the younger man's contemplative gaze. ""Your take on these signal inconsistencies?""
+
+There was a respect in Alex's tone, though a respectful distance remained—a gulf of experience and a hint of protective mentorship that stood between them. Sam nodded, recognizing the space afforded to him, and he couldn't help but feel the weight of expectation pressing upon his shoulders. It wasn't just the mission that was immense, it was the trust being placed in him.
+
+""The patterns are... off,"" Sam admitted, hesitant but driven. ""If I'm right, what we're looking at isn't random—it's a structured anomaly. We need to be ready for anything."" 
+
+Alex's eyes brightened with a subtle approval that crossed the distance like a silent nod. ""Good. Keen eyes will keep us ahead—or at least not blindsided,"" he said, affirming the belief that inscribed Sam's role as more than the tech personnel—he was to be a guiding intellect in the heart of uncertainty.
+
+Their exchange was cut short by Taylor Cruz's abrupt arrival, his gait brimming with a robust confidence that veiled the sharp undercurrents of his striving nature. ""Time to gear up. Dulce waits for no one,"" Taylor announced, his voice carrying an iron resolve that knew the costs of hesitation—though whether the cost was calculated in human or career terms was an ambiguity he wore like a badge of honor.
+
+As Sam and Alex nodded in unison, the icy chasm of hierarchy and cryptic protocols seemed momentarily to bridge over with an understanding—this mission was convergence, a nexus point that would challenge each of their motives and strength.
+
+They filed out of the briefing room, their footsteps synchronized, a rhythm that spoke volumes of the unknown cadence they would soon march to within the base's veins. For Alex Mercer, the link with Sam Rivera, though distant, was now poised with a mutuality ready to be tested; for Taylor Cruz, the initiative pulsed like a heartbeat, anticipation thinly veiled behind a mask of duty.
+
+In the midst of the descent, they were each alone yet irrevocably joined, stepping closer towards the volatile embrace of Operation: Dulce."
+"
+## Chapter 4
+
+The corridors of the Dulce military base were as silent as a tomb and twice as chilling. Alex Mercer walked with a surety that belied his bubbling undercurrents of doubt. The briefing had been definitive, sturdy pillars of facts and protocols, yet as he ventured deeper, the ominous atmosphere gnawed at him—a stark reminder of how much remained unknown.
+
+Jordan Hayes trailed a few steps behind, their detached exterior breaking for a moment as they caught up to Alex. ""What's on your mind?"" Jordan asked, their astuteness cutting through the unspoken tension.
+
+Alex glanced back at them. This place was a puzzle, a treacherous labyrinth where the walls whispered secrets, and among them, he sensed a call to question, to challenge the narrative they'd been sold. ""The silence here... It's almost as if the base is waiting for something—or someone.""
+
+""Just stay sharp, Mercer,"" Jordan cautioned, yet their eyes lingered on the quietude around them, conceiving the same shadow of doubt that unsettled Alex.
+
+Before they could delve into further discussion, the distinctive click of a safety catch echoed in the hollow space. Both agents turned to find Taylor Cruz standing resolute, primed for combat. Taylor's gaze was scrutinizing and cold, a stark contrast to the growing unease that smoldered silently amongst the rest.
+
+""Chatter is a liability,"" Taylor snapped, with a commanding flair that bordered on tyrannical. ""We move forward, eyes open, mouths shut.""
+
+Alex felt the tight grip of compliance strangle his gut, a lesson learned under the hard tutelage of rank and order. But here, in the bowels of Dulce, those instincts began to wane, the imperative to adhere now conflicting with the pressing urgency to confront the shadows they were enmeshed in.
+
+Then, unexpectedly, the lights flickered, a power fluctuation—or a sign? Alex's hand instinctively went to his sidearm, his mindset shifting from soldier to skeptic. The base, with its unyielding coldness, had just given them their first nudge into the realm of the speculative, an invitation to peel back the veneer of reality.
+
+""We should consider all possibilities,"" Alex murmured, more to himself than the others, his voice a barely audible breath against the sterile air of the complex.
+
+Taylor's posture stiffened at the challenge, yet their response was uncharacteristically reserved, notable in its lack of rebuke. ""Agreed. For now, keep moving. But stay vigilant.""
+
+A surprise—an echo of agreement from the last person Alex expected it from. And there it was, the glimpse of a wrinkle in the unyielding fabric of command, a hint that perhaps they were all starting to sense the strangeness that permeated this place.
+
+Progressing with determined steps, the trio moved deeper, silently acknowledging the evolution of their predicament. It was a small yet transformative concession to the unknown forces at play, an acknowledgment from each agent that, despite their disparate goals and ideals, the true nature of the Dulce base was an enigma that would forge new paths through their convictions.
+
+As they reached the central communications hub, the truth that awaited them lurked in the shadows, its eyes unseen but felt by all. The walls didn't just whisper now; they spoke in tones only the brave—or the foolish—would dare to listen to.
+
+\*
+
+The subterranean silence of Dulce was an oppressive entity of its own, wrapping the team in a cloak of uneasiness as they pressed on through the dimly lit corridor. Jordan Hayes found themselves contemplating the ramifications of each step taken into this suspended world, where the sterile air seemed to mock the gravity of their predicament. The closer they got to the communication hub, the more Jordan's mind wandered toward the realm of the inexplicable.
+
+Beside Jordan, Alex Mercer moved forward with deliberation, his gaze scanning the heavy utility doors they passed—one of which was partially ajar, beckoning them with its darkness. ""After you, Dr. Hayes,"" Alex said, gesturing toward the mysterious opening. A hint of shared understanding passed between them; knowledge was the guiding star of this mission as much as confrontation or recovery.
+
+Jordan peered inside, the beam from their flashlight slicing through the obscurity. The room beyond was a chaotic cascade of papers, overturned furniture, and the particular kind of disorder born from hasty evacuation—or something far more sinister.
+
+""It's like they vanished in the middle of something urgent,"" Alex murmured, his voice tight with a mix of concern and anticipation. He began to sift through the scattered reports, each page a potential clue to the enigmatic silence that shrouded Dulce.
+
+Behind them, Taylor watched with a disciplined patience, their authority the foundation upon which the operation was built. Their voice cut into the stillness, a reminder of their presence, ""Time is not our ally here.""
+
+Drawing back from momentary distraction, Jordan acknowledged the wisdom in Taylor's words, yet could feel the shift in their stance—from skeptical, reserved analyst, to a proactive agent within the narrative. ""You're right; these documents may hold critical insights. Let's collect what we can and analyze them properly.""
+
+From the darkened hollows of the room, shadows seemed to cast subtle judgment as Alex and Jordan worked together with heightened urgency. Taylor, for once, didn't intervene but instead surveyed the entrance, their mind anticipating the unknown variables that lay ahead.
+
+Unexpectedly, a soft hiss emanated from a neglected terminal on the desk. Jordan's head snapped up, their heart rate accelerating at the potential ramifications. Without a word, they moved to the machine, hands driven by the newfound conviction that knowledge was more than power—it was survival.
+
+As Jordan began to extract what data they could from the terminal, the first comprehensible communication from the depths of Dulce in far too long crackled through: an automated distress marker, looping endlessly without further context. It was a revelation, one that reverberated through the group, confirming their fears and igniting an even greater need to press on.
+
+Watching Jordan's dogged determination, Alex witnessed the minor transformation in his colleague unfold—a shift from doubt to action, a sliver of belief in the possibilities beyond their rational understanding. This forge of resolve amidst the alien echoes of Dulce not only bonded them closer as a team but compelled them forward with a sharpened edge of responsibility to the truth, wherever it would lead.
+
+As they collected their findings and regrouped, the base around them imperceptibly changed, the air charged with the vibration of secrets poised on the brink of revelation. And in that charged silence, the group moved on, each now carrying pieces of a puzzle that would soon converge into a picture of galactic significance.
+
+\*
+
+In the chill of the cramped server room, the hum of machinery was the backbone to a symphony of data streams coursing through the air. Dr. Jordan Hayes, nerves alight with the mission's mounting unknowns, patched into the last known coordinates of the unsent distress broadcast they had uncovered. They were so close to the core now – to the truth behind the blackout – it was almost tangible.
+
+Beside them stood Agent Alex Mercer, ever the soldier, yet with eyes that betrayed an intellect craving to understand the murk beneath the surface. ""Any progress, Dr. Hayes?"" Alex queried, his voice betraying a subtle urgency.
+
+""Getting there,"" Jordan replied, fingers dancing across the keyboard. ""Whoever sent this was cut off mid-transmission. It's as if Dulce itself swallowed the message whole.""
+
+Taylor Cruz closed in, their frame casting a long shadow over the duo, evoking an almost palpable wall between them and the forward momentum of their mission. ""Time is against us,"" Taylor intoned, more statement than threat. ""What we uncover here determines our next course of action.""
+
+Alex acknowledged Taylor with a brisk nod, his stance firm. Yet inwardly, the tightening grip he felt from Taylor's words couldn't throttle the swell of his own investigative instinct. His soldier's obedience had begun to war with the advocate's zeal for unveiling the dark heart of Dulce's secrets. 
+
+And then, the unexpected occurred. The screens flashed in unison, spilling a discordant stream of symbols and images that defied immediate analysis. Jordan's breath caught – this was the response they had been fishing for, an alien communication protocol resonating just at the edge of human comprehension.
+
+Each member of the team felt it: a shift in the room’s very atmosphere, like a veil being drawn from their perception. Alex and Jordan stood still, absorbed in the bewilderment of contact, while Taylor, despite their authority, hesitated – a minor betrayal that unease was creeping into even their disciplined heart.
+
+""Thoughts, Rivera?"" Taylor rallied, seeking the counsel of Sam Rivera, whose eyes were wide with exhilaration.
+
+Sam stepped forward, breaking the spell of stillness. ""It's like nothing I've ever seen before, but I think I can bridge our systems to communicate,"" they declared, a wisp of optimism braiding their voice. They set about adapting their gear to transmute the foreign signals into something the team could dissect, their actions a testament to the mentorship and belief instilled in them by Mercer and the team.
+
+Taylor observed them, a cold calculation behind their facade, as they weighed the worth of this anomaly. It was a crossroad that potentially led to either monumental breakthrough or unprecedented catastrophe. ""Once you've established a line, document everything. We can't afford to miss any detail,"" Taylor ordered, the words sharper than intended.
+
+The connection was made, and with trembling anticipation, the team listened as the first garbled outputs began to emerge, their very essence promising insights that could alter the course of history. It was an enigmatic dance with the unknown, the pulse of Dulce no longer just a place, but a herald to an alien register the team had yet to decipher.
+
+Together, they stood at the precipice of understanding, where the faint glow of their monitors cast more than just light – it cast the shadow of burgeoning transformation. It was in this moment, in the grasp of an extraterrestrial tongue, that the team, bound by a hunger for knowledge and the raw edge of survival, found their mission reframed from a search for answers to the articulation of a question humankind had yet to fully ask.
+
+Silent in their commune with the inexplicable frequency, they realized they were not merely investigators; they had become liaisons on behalf of Earth, interpreters of a cosmic message that could redefine their very existence. The implications loomed large, but now, they would not face them alone – they would face them as a united front, wrought together by the very mysteries that once drove them apart."
+"## Chapter 5
+
+Dr. Jordan Hayes clutched the edge of the briefing room table, their fingers white-knuckled against the laminate surface, as an array of constellations rotated on the projector—charts and graphs bleeding across the stars. In the dim room, nebulas and dark matter seemed within arm's reach, tangible yet unfathomable. 
+
+Sam Rivera leaned back against the wall, arms crossed, gaze darting between the swirling cosmos and the faces of their companions. A taut line of concentration etched their young features, a mingling of fervent curiosity with the nascent understanding of the high stakes for which they played.
+
+Jordan's voice broke the profound silence. ""The patterns in the signal disruptions sync with none other than zenithal star alignments. It's as if... as if these 'meet and greets' were scheduled, predestined by celestial mechanics.""
+
+The statement hung heavy, daring the occupants of the room to unravel its implications. Alex Mercer, his prior military resolve momentarily suspended, absorbed the hypothesis with a visible hunger. ""It's like we're adhering to an appointment we never knew we had,"" he murmured, his heart a drumbeat in his chest.
+
+Taylor Cruz snorted—a sound that clattered against the high concepts like a tumbledown shack in a futurist cityscape. Folding their arms, they glanced between the agents, their apprehension clad in the contempt of practicality. ""What we need are facts, not mystic conjecture.""
+
+Alex pivoted on his heel, facing Taylor squarely, and his voice found its edge of steel. ""This isn't mysticism, Cruz. It's a hypothesis based on observed phenomena as unpredictable as the place we're standing in.""
+
+Taylor's gaze never wavered, yet the slight twitch at the corner of their mouth belied their taut composure. ""If there's a semblance of truth to it, then it's critical intel. But remember, we're not astrologers—we're soldiers and scientists.""
+
+Jordan met Taylor’s gaze with a curt nod, accepting the caution even as the crucible of their intellect smoldered with the fervor of cosmic discovery. Their eyes flicked to Sam, whose steady presence and ready tech affirmed a burgeoning dynamic—the makings of a sentinel, standing guard over the threshold of human understanding and cosmic reality.
+
+With the projector casting pallid light over their features, each agent became a silhouette of purpose, shadows pillared against the backdrop of an endless universe. The story they were embroiled in would soon demand they plunge into darkness to retrieve the light of knowledge—a light that could very well redraw the shape of their world.
+
+They left the briefing room with a shared silence, each pondering the vast weave of celestial intent and terrestrial response, sensing that the galactic appointment to which they'd unwittingly RSVP’d was more insistent—and more threatening—than any operation they’d faced before.
+
+\*
+
+As the Paranormal Military Squad team convened in the heart of the Dulce military complex, an air of bristling expectation clung to the walls of the underground sanctum. Alex Mercer’s brow furrowed while watching his companions—Jordan Hayes, diligently setting up their makeshift lab station, and Sam Rivera meticulously checking the communication relays they had restored. Taylor Cruz observed with hawk-like focus, yet to betray the strain that their command posed on them.
+
+The gravity of the mission had shifted, deepened; each member of the team felt its pull, tethered to the understanding that they were now part of a larger narrative—a cosmic play with Earth as a stage and the human race unwitting actors. 
+
+Jordan paused, a tension creeping across their shoulders as they aligned the satellite data with the alien message that had been decoded. ""The instructions in this message,"" Jordan started, the timbre of their voice betraying their usual composure. ""They're coordinates and... a warning.""
+
+Sam leaned in, their eyes widening behind the glow of their laptop screen. ""A warning? Like, ‘stay away from’, or ‘beware of’...?"" Their words trailed off, uncertainty a new companion in their lexicon.
+
+Alex exhaled slowly, his mind racing to connect the dots. ""It doesn't matter which,"" he said, decisive yet contemplative. ""What matters is we understand intent. Are we being warned out of concern, or are we stumbling upon a threat?""
+
+Cruz’s iron-clad facade momentarily cracked, a fleeting glimpse of vulnerability flashing through their eyes. ""We need to know if this entails additional risk to the operation,"" they said, directing their gaze specifically at Alex. ""Mercer, I rely on you to keep the team grounded. No one goes off-course.""
+
+Their reminder seemed both a command and a plea—rooted in an understanding that each member of the team now faced the duality of their roles, protectors of earthly secrets and heralds of potentially devastating revelations.
+
+Sam's fingers stilled mid-type, their task forgotten as they absorbed the weight of the unfolding reality. ""We're the first line of defense... or detection,"" they mused half to themselves, a growing sense of agency within the larger play they were cast into.
+
+Jordan returned to the data, more resolute in their actions. The warning, whether cautionary or dire, was a beacon they no longer could ignore; its light casting aside shadows of doubt and igniting a collective purpose within the team.
+
+Alex watched Jordan and Sam, feeling a brotherhood in their shared quest. As Cruz paced, poised on the cusp of decisions that would mark their career and perhaps the fate of many, Alex knew the narrative had changed. They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.
+
+Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.
+
+Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer’s latter instincts gained precedence— the team’s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly hierarchies but by the pulsing symphony of the universe itself.
+
+\*
+
+The desert night loomed eerily still as echoes of hidden activity reverberated deep beneath the bleak sands of New Mexico. Diverting his gaze from the array of sensors before him, Jordan Hayes allowed a rare breath, deep and anxious. Turning to Alex Mercer's focused silhouette, the nocturnal landscape illuminated softly by makeshift floodlights, Jordan felt the syncopated tempo of apprehension and exhilaration jockey for primacy within.
+
+""The closer we get to unlocking these messages, the more I feel like we're peeling back layers of reality itself,"" Jordan confided, eyes not leaving the monitors that presented a constellation of data points.
+
+""Yes,"" Alex replied, his voice steady as he considered the implications of their discovery. ""And we have to be ready for whatever we find beneath those layers. Whether it's a breakthrough or a Pandora's Box.""
+
+Silence settled between them, broken only by the occasional buzz of communications equipment attempting to bridge terrestrial and extraterrestrial intelligences. Tense moments drifted by, laden with the expectant weight of near breakthrough, when a soft chime signaled an incoming transmission -- a rare sound that set every agent on high alert.
+
+Absent was the voice of Washington or Paranormal Military Squad command. Instead, a rhythmic series of pulses and tones filled the air, deliberately patterned, unmistakably non-human.
+
+Sam Rivera adjusted the sensitivity of the decoding equipment, their hands shaking with anticipation as much as focus. ""I have it!"" they announced, the signal transforming under their expertise into a sequence of visual symbols on the screen before them.
+
+Their shared excitement was palpable, a kinetic force resonating between the team members as they crowded around the display. 
+
+""What does it say?"" Taylor Cruz demanded, the urgency in his tone scraping against the newfound wonderment.
+
+Interpreting the alien syntax required not only decoding but intuition and empathy. The words that emerged upon the screen were at once coherent and enigmatic: ""*Voyage. Convergence. Peril.*""
+
+The stark simplicity of the message struck them collectively, a chill breeze wafting through their resolve.
+
+Alex stepped forward, piecing together the cryptic communication with a growing sense of obligation. ""It’s a call to action,"" he deduced, ""or possibly a summons.""
+
+Jordan's gaze met Alex’s, both understanding that this was no longer an investigation or mere extraction of hidden truths. This was humanity's unwitting enlistment into a galactic dialogue that defied boundaries of nation, creed, or protocol.
+
+Sam's eyes were aglow, not with fear, but with the profound acceptance of inevitability that comes with groundbreaking revelation. Moreover, within Taylor's stern exterior churned the seed of reluctant admiration for the unclassified, the uncharted realms they were approaching.
+
+Together, they accepted the pivot in their mission, readjusting their objectives from exploration to engagement, and from isolation to a communal outreach beyond the stars. As dawn's first light threatened the horizon, it became clear that they were no longer merely operatives of a clandestine governmental faction—they were delegates on behalf of Earth, embarking on a voyage orchestrated by destinies unrelated to the mere geopolitics of their world.
+
+Turning to each other, their silhouettes sketched against the coming dawn, the agents recognized the transformation within and amongst them. They were bound by more than duty—they were intricately woven into the fabric of an unfolding cosmic opera, one in which they had been granted an undeniable role. And as they set course for the coordinates that beckoned them like a distant siren's call, it was with a solemn dedication to not only uncover the mysteries ahead but to navigate the convergence, and the peril, as unified emissaries of a world on the cusp of a broader understanding.
+
+\*
+
+Beneath the hum of the fluorescent lights and the vigilance of silent monitors, Alex Mercer stood with his team in the threshold of the base's command center, their faces etched with the fatigue of hours spent unraveling galactic mysteries. Jordan Hayes broke the stillness with a delicate fusion of disbelief and resolve. ""The signal..."" they began, their tone deliberate, ""it’s evolving. It’s not just sending a message—it’s responding to us.""
+
+Taylor Cruz leaned over the console, their eyes narrowing with intrigue and a flicker of unease, studying the alternating patterns on the screen. ""Responding? Like it’s alive?"" Taylor asked, a question that bordered on the edge of wonder and alarm.
+
+Sam Rivera’s gaze was locked onto their interface, a digital orchestra at their fingertips. ""It could be some form of advanced AI. Or something else entirely,"" they contributed, a note of exhilaration betraying the gravity of the situation.
+
+Alex paced before the terminal, absorbing the enormity of their predicament. Their mission—once rooted in the solid ground of military discipline and covert operations—had transcended into an encounter of unprecedented import. ""We need to be cautious,"" he advised, his voice a low rumble of cautious strategy. ""If this signal is intelligent, how we interact with it could dictate the outcome of this entire operation.""
+
+Jordan met Alex's gaze with a nod, the weight of the responsibility shared and accepted. ""We have protocols for first contact, but nothing for... this,"" Jordan admitted. The room was gripped with tension, each breath seemingly louder than the last.
+
+Then, with a sudden burst that filled the command center, the signal coalesced into a clear and distinct pattern which replicated and expanded, its complexity revealing the hand—or mind—of an intelligent architect.
+
+Taylor's instinct for command surged forth. ""Prepare to record and analyze. Whatever it is, we need to understand it—"" But their words were cut short as the signal surged, enveloping the room in a brief, blinding cascade of light.
+
+In that pulse of brilliance, a shared revelation coursed through the team. The signal had become a bridge, an extension of unknown consciousness reaching towards them, testing, communicating, searching. 
+
+Alex stepped back from the light, feeling a profound change unravelling within him. The path forward would not be one of confrontation or conquest, but of connection and comprehension.
+
+Jordan turned to Alex and Taylor, seeing in their faces a reflection of the same metamorphosis taking place within themselves—a movement from observers to participants, from agents to ambassadors.
+
+With a collective breath, the team faced the kaleidoscope of lights. The alien signal, once a harbinger of enigma, was now a catalyst for transformation—a symphony of light and sound that echoed the beginnings of a new relationship between humanity and the alien unknown.
+
+And so, with deliberate steps, Alex Mercer led his team into the luminous fray. Science, protocol, and survival instinct harmonized within them, each member poised on the cusp of a new chapter in human history.
+
+They were no longer merely the instruments of Paranormal Military Squad's will—they were the vanguard of humankind’s first definitive leap into the cosmic community. 
+
+With the last echoes of the signal resonating in the control room, they each embraced the sequencing of the transmission, the dance of extraterrestrial light that now wrote itself into their story. The chapter of Operation: Dulce drew to a close, but the narrative of their destiny had only just begun."
+"## Chapter 6
+
+\*
+
+The cool darkness of the command center at Dulce base was a stark contrast to the brewing storm outside, where the unforgiving New Mexico desert winds whispered of the hidden truths that lay buried deep beneath its surface. Dr. Jordan Hayes sat, their eyes fixed on the readout, the frenetic dance of symbols and numbers reflecting off their determined face. They were on the cusp of an epiphany, teetering between the widely accepted laws of physics and the promise of a new cosmic paradigm.
+
+Alex Mercer watched from across the room, noting the subtle shifts in Jordan’s posture that belied a developing readiness to embrace the unbelievable. “Find something?” Alex’s question, asked with a blend of curiosity and solidarity, bridged the gap between a command and a genuine query among equals.
+
+Jordan's response was slow, measured against the magnitude of their analysis. “This isn’t random static. It’s a pattern - a repeated sequence phasing in and out but distinctly artificial.” Jordan turned away from the screen, locking eyes with Alex. “This could change everything.”
+
+Sam Rivera leaned in, their eyes alight with the fires of revelation and a quenchless thirst for understanding. “A pattern means intention. Could it be a message?”
+
+A figure emerged from the doorway, casting a long shadow into the room - Taylor Cruz. “Intentions can be friendly, or hostile. We shouldn’t forget that,” said Taylor, bringing a dose of their usual pragmatism into the heart of discovery.
+
+Alex acknowledged Taylor’s caution with a nod, understanding the need to keep their feet grounded even as their spirits soared toward the unknown. “Then let’s be the first to find out which it is.""
+
+The team gathered around the monitors, the soft tapping of Jordan's keystrokes now punctuated by the occasional crackle of Sam's radio equipment. The sound was almost ritualistic, a prelude to humanity’s potential first, knowing foray into a larger universe.
+
+Jordan’s fingers paused, suspended in mid-air. The signal had evolved, becoming a beacon that somehow felt less alien and more familiar. It was as if the complexities of their message were unfolding into something more accessible, more terrestrial.
+
+A hushed excitement swept through the room. The transformation suggested an awareness on the part of the unknown senders; a finesse that spoke volumes about their capabilities and perhaps their intentions.
+
+With the growing realization that they were engaging with an intelligence far exceeding their previous understanding, the team prepared to reach back across the cosmic divide. Prepared or not, they were no longer bystanders in this galactic narrative. They were active correspondents in an exchange that transcended galaxies and welcomed them into an expansive, possibly fraught, interstellar conversation.
+
+\*
+
+Inside the cavernous central hub of Dulce military base, Dr. Jordan Hayes stood in near-darkness, surrounded by a nest of cables and monitors that buzzed with silent, cryptic life. Jordan's eyes narrowed to focus on the sequences that danced across the screen—patterns that could unravel the cosmic enigma surrounding them.
+
+Alex Mercer approached with his characteristic stride, a signal of reliability in the chaos. ""Status report, Dr. Hayes?"" he inquired, his voice low, almost blending into the soundscape of beeping consoles and swirling fans.
+
+""We're on the brink of unravelling the signal's origin,"" Jordan replied, the weight of implications heavy in their tone. ""There's intelligence behind it, a thought process alien to our own.""
+
+As if summoned by their analysis, Taylor Cruz approached with authority radiating from every pore. ""Understand this, we need to know if it's friend or foe. Don't get wrapped up in the existential—our lives may depend on the answers you provide.""
+
+Sam Rivera, their hands adroitly adjusting a device to fine-tune the signal, chimed in with optimism undercut by anxious anticipation. ""We're deciphering the comm encryption. Soon, we'll have a channel open—not just listening in, but speaking back.""
+
+Alex nodded his understanding, his strategic mind processing the tactical implications while grappling with the more profound humanistic impact. ""When we do, we'll tread carefully, communicate with purpose,"" he reassured the team.
+
+The operation had evolved rapidly, from a stealthy incursion into a clandestine labyrinth to an exchange with an extraterrestrial intellect. Their earlier trepidation transformed into determined focus, as they prepared to extend humanity’s hand into the vast unknown.
+
+An alert on one of the monitor stations snapped the team into alarm. The signal had not simply been waiting—it had been calculating. Now, it reached its crescendo, demanding their attention with a provocative urgency.
+
+Jordan's fingers raced over the keyboard, their eyes simultaneously interpreting data and sharing directives. ""It’s a linguistic lock, a test of comprehension. We crack this, we establish dialogue.""
+
+Taylor's presence was a beacon of steely resolve. ""Then let’s solve it. This is what we trained for—the unknown.""
+
+Alex and Sam exchanged a look that telegraphed their shared determination—this was not only the mission they had trained for; it was the mission they had been destined for.
+
+Together, the Paranormal Military Squad team leaned into the challenge, their minds honing in on the complex patterns with a singular goal: to unlock the conversation with an intelligence that had already begun to shift the foundations of what they knew, or thought they knew, about the universe.
+
+In a symphony of clicks and murmurs, they worked, knowing they were about to make a giant leap not just for themselves or Paranormal Military Squad, but for all of humanity. As the final pieces fell into place, Dulce's militaristic silence was shattered by the sound of intergalactic contact—by the sound of history being made."
+"## Chapter 7
+
+In the enclosed space of Dulce’s command center, the air was thick with anticipation, each team member poised to tread the razor's edge between scientific breakthrough and galactic peril. Dr. Jordan Hayes focused intently on the screen, their fingers tapping a staccato rhythm against the keyboard as lines of alien code cascaded down the monitor.
+
+Alex Mercer's steely gaze surveyed the room, stopping on each member of his team. ""Thoughts?"" he asked, echoing the unspoken tension. His question, while directed at the group, lingered on Jordan—acknowledging their expertise and inviting collaboration rather than dictating orders.
+
+Jordan’s brow furrowed, an indicator of the mental gymnastics being performed. ""It's unprecedented,"" they finally said, their voice a testament to the gravity of the moment. ""Behavioral algorithms... if we're right, this code could reveal extraterrestrial thought patterns.""
+
+Before anyone could react, Taylor Cruz interjected with the assertiveness of someone accustomed to commandeering the discourse. ""Then let’s ensure we’re deciphering it correctly,"" Taylor stated, their tone suggesting they were still battling to maintain control over an increasingly alien situation.
+
+Sam Rivera hovered near the mainframe, youthful energy barely contained under the surface. ""What if it’s more than just a message? What if they’re trying to extend consciousness across the stars?""
+
+The room fell into a contemplative silence, broken only by the hum of electronic equipment and the distant thud of secured doors locking in rhythm. The weight of responsibility rested on each agent's shoulders—a heaviness palpable in the air they shared.
+
+Alex stepped forward, reaching a subtle decision, one dictated by foresight and the humanity nestled at the core of their mission. ""We approach with the aim to understand, not to confront,"" he said, softening his military bearing into a more diplomatic stance.
+
+Jordan nodded, appreciating the leadership that Alex displayed in the face of the unknown, and turned back to the cryptic data. Here, before them all, was a tangible piece of evidence—proof of an extraterrestrial sentience that had outreached the bounds of their expectations.
+
+Taylor took a breath, simultaneously exuding a sense of preparedness and venturing into the unknown alongside their peers. ""Then let’s do what Paranormal Military Squad does best—investigate and adapt,"" Taylor added, finding comfort in the familiar even as they stood on the cusp of an unprecedented alchemy of science and mystery.
+
+The team leaned into their respective roles, driven by the urgency of the assignment and the pull of an insatiable curiosity. Sam offered a grin that belied the tension, a youthfulness that reminded them all of the profound excitement nested within the terror of the unknown.
+
+Quietly but resolutely, they turned back to their instruments, each of them a sentinel on the threshold of a new reality. The once implicit lines of command were now woven into a shared tapestry of hierarchy and camaraderie. As they danced with the unknown, they were beacons of sentient endeavor, casting the light of human consciousness into the vast darkness that called to them.
+
+\*
+
+\*
+
+Dulce Base's cavernous darkness was pierced by the sharp luminescence of monitors, casting an electric glow onto the faces of those who dared to unearth its secrets. Dr. Jordan Hayes stood motionless, eyes glazed in concentration, their mind a nexus where terrestrial science battled with celestial unknowns.
+
+Alex Mercer watched from a slight distance, the weight of command tangible upon his shoulders, though lightened by the shared burden now held amongst them. ""We could be on the frontier of a new kind of diplomacy,"" he mused aloud, giving voice to the moment's gravity.
+
+At those words, Jordan's trance broke. ""If that's the case, then these communications,"" Jordan motioned to the stream of data, ""are our olive branch across the cosmos.""
+
+Taylor Cruz, who paced with restless energy, halted and faced the team—his stoicism marred by the erratic dance of lights reflected in his eyes. ""An olive branch, or an invitation to a battlefield?"" he posed, ever the strategist, his words laced with a hint of cynicism.
+
+Sam Rivera, nestled amongst an array of equipment, licked their lips—a mixture of nerves and anticipation palpable. ""We're mapping out something incredible here. Whether it's peace or war, we're the cartographers.""
+
+Silence enveloped them like the expanse of space itself, each member contemplating the chasms they might bridge—or the abysses into which they might unwittingly descend.
+
+Alex's demeanor assumed a quiet resolve—the profound knowledge that this mission was as much about navigating uncharted philosophical territories as it was about ensuring survival. ""Whichever it proves to be, we'll face it. Prepared, unified.""
+
+A nod passed between Jordan and Alex, a silent exchange of mutual respect and shared mission. Sam, buoyed by the weighty encounters of the mind and machinery, entered keystrokes with a fervor that seemed to bring them ever closer to the alien mind.
+
+They stood there, the Paranormal Military Squad team, not just as guardians of homeworld secrets or as soldiers of clandestine wars, but as humankind's chosen few at the fulcrum of history—a history that was now unfolding to the rhythm of otherworldly codes.
+
+Each revelation, each parsed symbol, inched them toward the line between the earthly and otherworldly. And as they stood on this precipice of cosmic negotiations, it was clear the ensuing dialogue would not just shape the future of Paranormal Military Squad—it could very well redefine the parameters of human existence.
+
+\*
+
+The hum of advanced computational systems tingling with cryptic transmissions framed the ambiance of Dulce's mainframe chamber. Jordan Hayes, fingers hovering over a console dense with blinking lights, furrowed their brow as sequences of alien data streamed across the screen. 
+
+Alex materialized behind them, his presence a stable beacon amidst the technological whirlwind. ""Look for patterns, anomalies. Anything that might resemble a handshake protocol in their communications,"" he directed, his voice a low thrum, reverberating with cautious optimism.
+
+Jordan cast a glance over their shoulder, acknowledging Alex's contribution with the shared understanding of colleagues who had transcended mere professional acquaintance. ""I’m isolating sequences that seem to recur with more intention than static. If these are their ‘handshakes,’ then we might just be making first contact,"" they remarked, their focus returning to the screen with renewed vigor.
+
+From the other end of the room, where shadows married the artificial light, Sam's voice crackled through the static of nearby speakers, ""Don't forget the anomalies we detected earlier. Each one could be a word, a sentence, or even a concept untranslatable to our current understandings.""
+
+Resolute, Taylor Cruz stood at Jordan's other side, a stoic figure wrestling with the implications of their mission. ""Keep pursuing this line,"" Taylor instructed, an undercurrent of intensity carried forth in their otherwise composed demeanor. ""And remember, this isn't just about making contact; it's about securing knowledge for humanity.""
+
+Alex offered a nod that spoke volumes, conveying his understanding of the stakes at play. Here, in this chamber of possibility, the team's actions would determine if humanity stood at the brink of a new age of understanding or the onset of an unprecedented threat.
+
+Every second thrummed with significance as Jordan and Sam worked in tandem, each keystroke a foray into the unknown. Taylor observed with a commander's scrutiny, the gravity of their role sustaining them against the waves of ambiguity breaking against their resolve.
+
+Pivotal moments come rarely in the course of human events but here, amidst the electronic symphony of a stalwart command center, lay the incepting notes of a cosmic overture. The harmony between human and alien, between Paranormal Military Squad and the vast reaches of space, began its first tentative measures, with each member of the team a vital instrument in a celestial ensemble yet to be fully heard.
+
+\*
+
+The crisp air within the mainframe room of Dulce base seemed to hum with unspoken possibilities. Jordan Hayes was the centerpiece of focus, their hands dancing methodically over the console as streams of otherworldly code cascaded down monitors, each flicker a potential key to the cosmic doors they were inching open.
+
+Alex Mercer watched, posture relaxed but eyes sharp. ""Remember, this could be our first introduction, maybe even our first impression,"" he said, mindful of the gravity carried by each action they made henceforth.
+
+A hint of a smile touched Jordan's face, a small acknowledgment of the monumental task at hand. ""Understood. I'm balancing the signal's syntax with our algorithms. If we're interpreting this correctly, it could be... well, an invitation.""
+
+Into the electric tension of the chamber walked Taylor Cruz, their silhouette a sharp contrast against the cool lighting, radiating a presence that spoke of command and chilly tenacity. ""An invitation, or a challenge?” Taylor questioned, the weight of their suspicion casting a different tint on the cascading data.
+
+Sam Rivera, in a corner arrayed with sophisticated equipment, piped up, their voice a buoyant note amidst the tentative atmosphere. ""Either way, it's a connection. One that we're uniquely positioned to navigate,"" they remarked with an air of optimism threading through the uncertainty.
+
+Alex channeled the strengths of his team into the core of their approach, his leadership adapting to the contours of an unprecedented scenario. ""Cautious and curious,"" he reflected aloud, shaping a strategy that balanced their thirst for comprehension with the prudence required in addressing the unknown.
+
+Jordan, hands momentarily at rest, looked up. The signal was more than a sequence of bits and commands—it was a riddle wrapped in the depths of space-time, and they were on the cusp of parsing its meaning.
+
+Taylor, hardly a step away, nodded in silent agreement. The implications of their findings might very well direct the course of human destiny from this point onward.
+
+Finding a tempo among themselves, the Dulce team was a confluence of ambition and acumen, each member intuitive to the beats of discovery. The chamber around them held untold stories, secrets coaxed from the stars, that now, led by Paranormal Military Squad's finest, began to unravel.
+
+The future in those moments was unwritten, a narrative scribed not in the dust of desert confines, but in the potential for interstellar diplomacy and understanding. As they prepared to script humanity's next chapter, the room seemed to pulse with the heartbeat of a story far greater than the sum of its parts."
+"## Chapter 8
+
+The grit of an earthbound dust storm contrasted sharply with the pristine sterility of the underground command center. Alex Mercer, eyes set with fervent determination, stood over Jordan Hayes, whose fingers danced across the keyboard with rapid purpose. Monitoring the progression of alien code unraveling before them, Mercer spoke with a tempered urgency, ""Keep it steady, Jordan. We might be initiating the first true interspecies communication bridge here. It's all about finesse now.""
+
+Taylor Cruz, the embodiment of military precision, surveyed the room with a calculated gaze from their vigil beside an array of glimmering screens. ""Remember, these could be delicate negotiations -- or coded threats. Stay sharp,"" Cruz added, their voice cool as polished steel.
+
+Jordan, with a silent nod, recognized the gravity of both stances. Gravitating between scientific acuity and diplomatic caution, they replied, ""The sequence is aligning—syncing with our comms. It's looking more and more like direct engagement.""
+
+Amid the banks of electronic machinery, the thrumming pulse of an impending interspecies signal exchange, Sam Rivera interjected with a youthful zeal that cut through the weighty atmosphere, ""It's not just an exchange. It's a... symphony. It's as if they're teaching us their language through modulation.""
+
+A moment of profound silence swept over the team. The isolation of their location, deep within the top-secret labyrinth of Dulce, became suffused with an almost palpable sense of historical significance.
+
+""Then our response needs to be equally symphonic,"" Alex uttered, contemplating the awe-inspiring transmutation of their task from a simple recovery mission to a full-blown cosmic concerto.
+
+With a renewed sense of wonder tempered by caution, the Paranormal Military Squad team found themselves harmonizing a delicate balance between envoys and interpreters. The long shadow cast by their duty was now illuminated by the brilliant glow of otherworldly dialogue.
+
+In this carefully orchestrated march towards the unknown, each individual's expertise became critical notes in a larger melody. The narrative of human achievement, so often defined by solitary pursuits, now emerged as a collaborative opus, each member of the team a maestro in their right.
+
+The protocols of encounters, the mathematics of languages, and the poetics of connection all fused into a singular moment of convergence. The echo of their efforts reverberated back to them, not through the cavernous base's concrete walls, but from light-years away, in the form of a reply, intangible yet infinitely profound.
+
+\*
+
+Amidst the hum of the supercomputers and the faint static from the scrambled transmissions, Alex Mercer cast a thoughtful glance across the dimly lit room toward where Dr. Jordan Hayes was methodically adjusting the archaic dials of the decryption machine. ""Any progress?"" he asked, his tone conveying both impatience and the deep-seated respect born from countless shared challenges.
+
+Jordan did not look up, their gaze remained locked on the flickering lights that represented a dialogue suspended between worlds. Their fingers ceased their dance, hovering meditatively over the controls. ""We might be on the cusp of a breakthrough,"" Jordan suggested. ""The signal... it's evolved. It's reflexive now, responsive in a way that suggests sentience.""
+
+Taylor Cruz's familiar sharp strides approached the two, breaking the rhythm of soft beeps. ""Responsive is good, if it means understanding,"" Taylor said, head tilted as they peered at the encryption data scrolling by. ""But remember, comprehension can bring revelation or conflict.""
+
+Sam Rivera’s youthful voice permeated the tension, brimming with an excitement edged by the enormity of what they faced. ""If it's truly sentient, we're not just cracking a code; we're learning how to converse with an entirely new form of consciousness,"" they chimed in, the weight of history not lost on the zealous astrotechnician.
+
+Alex nodded, his thoughts alighting on potential strategies for navigating the conversation they were cultivating with the unfathomable. ""We need to keep that conversation going, echo its patterns, and speak its language,"" he resolved, knowing the delicate nature of their work merited every ounce of their collective acumen.
+
+The chamber now was a crucible, forging within it the future narrative of human contact with the unknown. Every signal pulse they sent out was an invitation for understanding, and every echo back a step closer to bridging the cosmic divide. And so, together, they stood - agents in Paranormal Military Squad's clandestine ranks, united by purpose, sculpting humanity’s first sonnets into the void.
+
+\*
+
+#### Knowledge graph updates
+
+- (Jordan Hayes, Interprets, Communications as cosmic diplomacy, Moderate)
+
+- (Taylor Cruz, Questions, Potential aggressiveness of alien intent, Minor)
+
+- (Sam Rivera, Expresses, Optimism about forming a connection, Minor)
+
+- (Alex Mercer, Adopts, Balanced strategy for contact, Moderate)
+
+- (Paranormal Military Squad team, Navigates, Beats of cosmic discovery, Moderate)
+
+- (Paranormal Military Squad team, Prepares, To script humanity's interstellar narrative, Major)"
+"## Chapter 9
+
+The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought.
+
+Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. ""We're through the next layer of encryption,"" Jordan announced, a mixture of pride and gravitas in their tone. ""It's communicating. It's... aware.""
+
+A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. ""Aware and reactive or aware and proactive?"" he queried, his experience anticipating the pivotal importance of intention.
+
+""Unknown at this stage,"" Taylor Cruz interjected, looking up from a datasheet. ""But I urge caution. We tread the line between breakthrough and disaster with each keystroke.""
+
+Sam Rivera, ever the source of technological acumen, added their voice to the conversation. ""The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time.""
+
+Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. ""Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel.""
+
+Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them.
+
+They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos.
+
+\*
+
+\*
+
+The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought.
+
+Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. ""We're through the next layer of encryption,"" Jordan announced, a mixture of pride and gravitas in their tone. ""It's communicating. It's... aware.""
+
+A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. ""Aware and reactive or aware and proactive?"" he queried, his experience anticipating the pivotal importance of intention.
+
+""Unknown at this stage,"" Taylor Cruz interjected, looking up from a datasheet. ""But I urge caution. We tread the line between breakthrough and disaster with each keystroke.""
+
+Sam Rivera, ever the source of technological acumen, added their voice to the conversation. ""The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time.""
+
+Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. ""Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel.""
+
+Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them.
+
+They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos.
+
+\*
+
+Alex Mercer's eyes were fixed on the monitors, the reflected light casting an ethereal glow across his stoic face. The room buzzed with tension, a cacophony of low hums and electronic beeps that underscored the historic nature of their actions. He moved to where Dr. Jordan Hayes was immersed in their work, scrutinizing the alien code streaming rapidly down the terminal.
+
+""Find anything that might look like an entry point or a... digital handshake?"" Alex asked, his voice steady, betraying none of the tension gripping his chest.
+
+Jordan looked up briefly, their expression weary yet intense, ""Potentially. It's as if the code is anticipating our input, modifying itself in real-time. I've never seen anything like it.""
+
+From across the room, Taylor Cruz's sharp voice cut through the hum. ""Then it's learning or, possibly worse, baiting us. Proceed with extreme caution,"" they commanded, their firm stance reinforcing the gravity of the situation.
+
+Sam Rivera, surrounded by a cascade of screens and interfaces, added, ""It's almost organic in its complexity. Any minute now, and I might have a way in.""
+
+A slight nod was Alex's immediate response, his mind racing through the potential scenarios. ""Everyone, stay alert. This could be the beginning of something profound."" His seasoned eyes never left the unfolding drama on the monitors.
+
+The room fell silent, the air heavy with unspoken questions. Were they mere moments away from unlocking an otherworldly dialogue? Or was it a Pandora's box that, once opened, could not be closed?
+
+Alex moved closer to the main console, his fingers hovering over the command keys. With the precision of a maestro orchestrating a symphony, he communicated silently with Jordan – respectful of their expertise, aware that the next move could alter the course of human history.
+
+Jordan met his gaze, nodding sharply, and refocused on the task. The signal seemed to pulse with sentient curiosity, drawing them further into its intricate web. 
+
+A sudden flurry of alerts and the intensifying glow of monitors heralded that they had bridged a technological chasm. The alien intelligence on the other end was no longer a distant enigma – it was an active participant, responding to their digital overtures with an unknown agenda.
+
+The team's meticulous efforts had led them to a momentous threshold. Beyond lay unprecedented contact – a nexus of curiosity and potential peril. Within the confines of the base, against the backdrop of a silent desert night, the Paranormal Military Squad operatives became mediators of Earth's bid for cosmic relevance, their every action now a gesture in the grand dance of intergalactic relations."
+"## Chapter 10
+
+The corridors of the Dulce military base, now silent, echoed with a history of whispered conspiracies and furtive movements. But in the command center, a delicate tapestry of light and sound was being woven as the echoes of cosmic dialogue resonated through the high-tech enclave. Dr. Jordan Hayes, now leading the efforts, called out from their workstation, ""I’ve isolated the signal's harmonics. It's more than a call; it's a song, an interstellar siren’s call.""
+
+Alex Mercer, steady and resilient in the face of the incomprehensible, acknowledged with a quiet nod, ""A song that we need to learn—quickly."" His eyes, heavy with responsibility, scanned the room, watching his team work tirelessly at the intersection of science and speculation.
+
+Sam Rivera, dulled by fatigue yet driven by unshakeable resolve, manipulated a complex array of audio interfaces. ""There's a pattern, a repeating motif. It's structured, intentional,"" they muttered, their revelation a bridge between the known and the unimaginable.
+
+Taylor Cruz, a figure of central authority, paced the length of the room, their usual unflappable demeanor betraying a rare flicker of apprehension. ""We should be wary of the sirens’ call,"" Taylor interjected, invoking myths of old as a cautionary metaphor. ""We don't want to crash upon unseen shores.""
+
+Undeterred, Jordan cast a determined glance at the team. ""We navigate by starlight now, not by the limited light of our previous understanding."" Their voice was a beacon, charting a course through unchartered realities.
+
+Every individual was acutely aware that each moment in that room was a conduit to an epochal shift for civilization. The mysterious signals, once distant and alien, had coalesced into complex and harmonious oscillations—beacons of an extraterrestrial intellect inviting Earth to join in a cosmic consortium.
+
+Silently, Alex approached the mainframe, his trained fingers aligning with the console’s mechanisms. The room watched in collective breathlessness as he set the frequency in motion, an introductory phrase to an otherworldly melody—a symphony that could bind worlds or spell devastation for all they knew.
+
+In the control room of Dulce, amongst whispered legends and the quiet hum of machines, humanity's ambassadors now stood, stretching their hands into the void, reaching for the hand that would either pull them into the light of new stars or into the maw of darkness between them.
+
+\*
+
+Underground, the Dulce facility's command center was awash with frenetic energy, a stark juxtaposition against the silent, decrepit corridors that enveloped them. The air hummed with anticipation as Dr. Jordan Hayes and Alex Mercer hunched over a console. The sterile light from the monitors cast an otherworldly glow upon their faces, now reflecting a mosaic of alien characters rapidly translating across the screen.
+
+""The patterns are evolving,"" Jordan murmured, concentration etched into their every feature. ""It’s as if our attempts to decrypt have accelerated its learning. It’s adapting to us.""
+
+Alex, who stood steadfast behind Jordan, felt a tinge of uncharted fear quickly quelled by the fire of discovery raging within him. ""Keep it up,"" he urged. ""But whatever this is becoming, we need to ensure it remains within our control.""
+
+Taylor Cruz interjected, their voice slicing through the buzz of activity. ""Control may be an illusion when facing an intelligence that literally writes its own rules,"" they stated stoically, casting a watchful eye over the flurry of data.
+
+""It's like it's learning to communicate,"" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. ""This gives ‘talking to strangers’ a whole new meaning.""
+
+Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. ""This might well be our first contact,"" he acknowledged, ""And we need to be ready for whatever answers back.""
+
+Together, they stood on the edge of the unknown, forging humanity’s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.
+
+The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation of their investigative strategies. The air turned heavy with the scent of electricity and ambition as they closed in on a pivotal response.
+
+As the signal’s intelligence—whether artificial or biological—grew more profound, so too did the realization that their mission had morphed from passive observation to active engagement. There was no turning back now. Each agent embraced their part in the delicate dance of an interstellar exchange that could change everything they thought they knew about life, intelligence, and the dark void beyond Earth's atmosphere.
+
+\*
+
+The underground halls of Dulce Base, usually buzzing with covert operations, now thrummed with a different kind of energy, an electric mix of fear and fascination. At the heart of the base, in a room shielded from the world’s eyes, Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera huddled around a bank of monitors. Each screen flickered erratically with the alien script that had become the center of their lives—and perhaps the pivot on which humanity’s future would turn.
+
+Jordan's eyes never wavered from the displays, their expression was one of rapt concentration, interspersed with flashes of revelation. ""We're conversing with the stars,"" they whispered, almost to themselves. The words hung in the air, a testament to the awe-inspiring strangeness of the situation.
+
+""The language is morphing; changing its structure with every exchange we have,"" Sam chimed in, enthusiasm tinged with the solemnity of the occasion. ""It's like witnessing the birth of a new form of dialogue—one that spans galaxies.""
+
+Taylor, despite the situation's precariousness, maintained an appearance of ironclad composure. ""Keep the communication stream secured and monitored. We don't know what we're dealing with yet,"" they reminded the team, a bastion of protocol amidst uncertainty.
+
+Alex watched his team expand the parameters of human achievement; their work here would possibly define an era. ""This is untrodden territory,"" he acknowledged, ""and in every word we script, in every response we decode, we're drawing a map that others will follow.""
+
+Jordan turned to Alex, a nod acknowledging the shared responsibility of this moment. They had embarked on a new voyage, an odyssey not of the body, but of the intellect and spirit. No longer explorers of the Earthly realm, they had been promoted by circumstance to ambassadors of humanity in a silent and boundless ocean.
+
+A sudden pulse of energy from the monitors signaled a breakthrough; the language had not only adapted but it seemed to resonate, to harmonize with their attempts at making contact. The alien script now sprawled across the screens didn't just ask to be understood—it invited interpretation, collaboration, maybe even companionship across the cold distances of space.
+
+As they stood before the precipice of first contact, Paranormal Military Squad's finest became the architects of a symphony meant to echo through the cosmos. But more than architects, they were the first to play the notes of this cosmic composition, daring to believe that on the other end, someone—or something—might be listening, ready to join the chorus.
+
+\*
+
+The underground command center of Dulce Base, once pulsing with clandestine operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera.
+
+Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. ""This sequence here,"" Jordan began, voice both hushed and heavy, ""it’s not just transmitting; it resonates—it's designed to be felt.""
+
+The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: ""It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here.""
+
+Taylor's eyes remained fixed on the figures playing across the data sheets. ""If that's the case,"" Taylor intoned pragmatically, ""we must tread carefully. This is no longer just about being heard—it's about being understood.""
+
+Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. ""Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue,"" he declared, the depths of his experience fueling a commanding reassurance.
+
+The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion.
+
+A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption.
+
+The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history."
+"## Chapter 11
+
+The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought.
+
+\*
+
+The thrum of the colossal machinery vibrated through the subterranean facility as Alex Mercer stood amidst the whispers of technology, each carrying voices from worlds apart. He watched as Sam Rivera adjusted a complex array of cosmic translators, their expression a mixture of anticipation and awe.
+
+""Are we ready, Mercer?"" Taylor Cruz asked, the soft glow of the command center consoles reflecting upon their stern face.
+
+Alex turned towards Taylor, his eyes holding a depth that betrayed the enormity of the threshold they were about to cross. ""This is it,"" he said. ""Initiate the protocol. It's time we answer the cosmos.""
+
+Jordan Hayes, stationed at the mainframe, typed rhythmically, a blue hue painting their focused features. The eerie silence that had settled over the team was interrupted by a visceral sound—humankind's response to the alien dialogue, now streaming into the abyss.
+
+The control room, once a fortress of solitude, erupted into an oasis of life. Lights flickered in tandem, echoing the symphony of interstellar communication. They stood together at the edge of discovery, facing the symmetry and discord of a universe unknown.
+
+""If we're right, we've just become Earth's first emissaries to a celestial congress we're only beginning to comprehend,"" Jordan's voice was somber, resonating with a mix of trepidation and honor. 
+
+The room filled with the resonance of human and alien minds converging, creating a new narrative within the fathomless expanse of existence. Paranormal Military Squad, once protectors of Earth's clandestine secrets, had now become the tether linking humanity to the cosmic fold.
+
+\*
+
+The underground command center of Dulce Base, once pulsing with covert operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera.
+
+Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. ""This sequence here,"" Jordan began, voice both hushed and heavy, ""it’s not just transmitting; it resonates—it's designed to be felt.""
+
+The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: ""It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here.""
+
+Taylor's eyes remained fixed on the figures playing across the data sheets. ""If that's the case,"" Taylor intoned pragmatically, ""we must tread carefully. This is no longer just about being heard—it's about being understood.""
+
+Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. ""Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue,"" he declared, the depths of his experience fueling a commanding reassurance.
+
+The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion.
+
+A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption.
+
+The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history."
+"## Chapter 12
+
+The underground facility of Dulce Base, once shrouded in silence and operational secrecy, now hummed with an energy that cradled the promise of cosmic revelation. Alex Mercer stood pensively by the central terminal, flanked by Dr. Jordan Hayes, Taylor Cruz, and Sam Rivera, each poised at the edge of a history-defining moment.
+
+Jordan's fingers ghosted across the console, tracing patterns of otherworldly origin. ""The signal’s architecture is becoming more complex, resembling aspects of human cognition—recognition, learning, even... empathy?"" they postulated with furrowed concern.
+
+Alex turned his gaze upon Jordan, his voice quiet but resolute, ""Empathy could bridge galaxies. Let's harness this connection and proceed with cautious optimism.""
+
+Taylor, ever the sober sentinel, projected a more pragmatic standpoint. ""Empathy or not, we are duty-bound to assess the risk to humanity. Every new discovery warrants a measured response.""
+
+The static hiss of communications equipment filled the air, its purpose now transformed into a dialogue with an intelligence beyond the stars. It was Sam, wide-eyed amid the myriad lights and switches, who broke the silence, ""We have provisional confirmation of the signal’s intent—initiation. We’re being brought into a broader spectrum of cognizance.""
+
+The chamber lay still for a heartbeat, the Paranormal Military Squad agents steeped in contemplation of the path unfurling before them—a path paved with possibilities of diplomacy or disruption, each step a venture further into the cosmic unknown.
+
+Alex stepped closer to the viewing monitors, each depicting alien symbols seemingly reaching out from the void. ""Initiate the broadcast,"" he spoke with quiet command. ""Our response will mark humanity’s readiness to partake in the wider conversation of conscious beings.""
+
+Amidst the crackling air of expectation, the team wordlessly returned to their stations. They had transcended their roles as protectors of Earth's clandestine lore to become the harbingers of an interstellar parley that could change the existential course of life on their pale blue dot.
+
+The deep hum of the terminal emitted a signal—a testament to the uncanny reality that Earth was now actively partaking in an exchange not bound by gravity nor the limits of the solar wind.
+
+Here, in the depths of Dulce, a message from humanity woven from understanding and uncertainty was cast into the firmament, an epitheg of their desire to join the universal dialogue and discover their place among the constellations.
+
+\*
+
+The somber depths of the Dulce Base command center stood in stark counterpoint to the animated flurry of activity around the central comms array. Alex Mercer's silhouette loomed behind Dr. Jordan Hayes, who sat with a posture indicating laser focus on the decryption process. A quiet murmur of digital soundscape filled the space, subtly heightened by the anticipation of contact with an intelligence beyond the Earth.
+
+Jordan's voice was steady, betraying none of the extraordinary nature of their work, ""Looking through the signal's pattern, it's evident we’re dealing with a form of intelligence—calculating, mirroring, possibly even understanding.""
+
+Alex's reflection bounced off the darkened screens, his head nodding in silent affirmation. ""We’re walking a delicate line. Our response should be thoughtful, measured. We’re ambassadors, not merely explorers.""
+
+Taylor Cruz approached, arms folded, their words slicing through the din of careful keystrokes and soft whirrs, ""If there’s even the slightest chance it understands, we can’t afford missteps. The language of the stars might be more absolute than ours.""
+
+From another terminal, Sam Rivera brought youthful vigor to the conversation, ""There’s rhythm in these patterns. If this is their way of reaching out, our reply should encapsulate all that we are—all that humanity stands for.""
+
+Looking around at his team, Alex saw resolve etched on every face. The chamber, usually somber and echoing with the quiet steps of covert agents, now felt alive with the heartbeat of discovery. They were not just professionals operating in the gloom; they were a collective standing at the helm of a momentous journey.
+
+""Let’s begin,"" he said, returned by the resolve in his voice. ""Every second counts."" With that, they pressed forward, setting in motion a reply to a conversation billions of years in the making.
+
+The dance with an unseen partner commenced, each pulse they sent out a step taken with caution and hope. And as those digital pulses journeyed through the black sea of infinity, Earth, for perhaps the first time, joined a pan-galactic dialogue that whispered secrets of the cosmos—secrets that, until now, had been lost in the silent vastness of space.
+
+\*
+
+As the team stood in the centralized nerve center of Dulce's underground fortress, the solemn atmosphere was reverent, overseeing systems that engaged with an intelligence from the void. Alex's stance was contemplative as he gazed at Jordan Hayes, who presided over the console, the tension of the moment reaching a tactile fervor. Each rhythmic tap of Hayes's fingers on the keys was a foray into uncharted symphonies of contact.
+
+Observing Hayes unravel the dense alien encryption, Alex spoke, a diplomatic tenor underpinning his words, ""Keep focused on the syntax, dissect its nuances. We're not just decoding signals; we're translating intentions.""
+
+Without diverting from their task, Jordan acknowledged the insight. ""Indeed, if their understanding of us is as deep as we hope, we're paving the way for dialogue far beyond our current realm.""
+
+Taylor Cruz, near the rear of the room, provided a steady oversight. ""As horizonless as our prospects may seem,"" Taylor intoned, ""remain diligent. Complacency before alien cognition could spell catastrophe.""
+
+Sam's youthful voice resonated with optimism, ""Imagine—forming a rapport with a consciousness separate from our reality; we're drafting the bridge to stars alive with minds!""
+
+The sentiment hung for a moment before Alex gathered his conviction. ""Dialogue is our vessel. We are not just agents of enigma; we are the threads that may weave a new cosmic relationship."" His words seemed to reflect off the walls, reaching beyond the room's confines, a quiet yet resilient vow.
+
+Their task was titanic, stepping stones laid delicately into new territories of existence. The signal, once an esoteric strand in the echo of the universe, beckoned now with a clarity rocketing the complexity of thoughts from a distant order.
+
+Action by action, the Paranormal Military Squad team bridged the vast interstellar distances, their expertise and empathy casting a beacon of unity into frontiers of intelligence and knowledge. Their work, a partnership struck with an unseen cosmic congregation, each pulse sent and received a line in Earth's novitiate envoi to the cosmic shores.
+
+\*
+
+Under the stark, unforgiving lights of Dulce Base's underground command center, tension buzzed harder than the banks of supercomputers that lined the walls. Agent Alex Mercer leaned over the shoulder of Jordan Hayes, whose eyes were locked onto the display screen, where an incomprehensible series of alien symbols streamed past incessantly.
+
+“Any progress on the decryption?” Alex's voice was steady, a controlled presence necessary in the gravity of their undertaking. 
+
+Jordan tapped a key, pausing the flow of code, and leaned back with a deep sigh. ""We've broken through another subset of the cipher. It's revealing... well, indications of a complex society, not unlike our own."" His eyes met Alex's with an unspoken question that hung heavily between them—were they truly prepared for what they might find?
+
+Taylor Cruz strode into the room, a tightly coiled spring of ambition and authority, and peered at the screen. ""Understand their society, and we may predict behavior. Remain expedient—we don't know how much time we have before the situation shifts."" There was an edge of stark realism to Taylor's words, the underlying message clear: every revelation bore its own set of risks.
+
+Alex nodded thoughtfully, recognizing the validity of Cruz's caution. Turning to Sam, who was tinkering with a device that buzzed quietly on the table, he asked, “Sam, can your contraption get us any further?”
+
+Sam looked up with a smirk, a twinkle of mischief in their eye. “It’s not just any contraption, it’s potentially a direct line to their thoughts. Give me a moment more, and I'll have something for you.”
+
+The air ticked with electronic beeps and the rustling sound of the Paranormal Military Squad team at work. They were so close to peering into the intelligence of an alien race—a reality on the brink of dramatically expanding their understanding of the universe.
+
+The machinery whirred in response to Sam’s precise touches, and suddenly, the room filled with a low hum—something had changed, a signal had been successfully sent. The team held their breath as they listened. The sound that filled the room was unmistakable: a response, an alien voice filtered through the static of space and time.
+
+Alex exchanged a look of quiet triumph with Jordan. The breakthrough was monumental; they were no longer casting messages into the void but engaged in a dialogue—an exchange that marked the beginning of Operation: Dulce’s true unfolding. This was it, the first steps into an interstellar odyssey that demanded every ounce of their courage and wit."
+"## Chapter 13
+
+Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, ""Let's remember, the unknown variables exceed the known. We should remain adaptive.""
+
+A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, ""Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic.""
+
+Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. 
+
+Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field.
+
+The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._
+
+As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come. 
+
+\*
+
+The gritty, wind-tossed surface of New Mexico, just above the cavernous domain of Dulce Base, offered no shelter from the burgeoning storm—the scouring sands an earthly reminder of chaos theories in motion. Far beneath, a similar maelstrom brewed within the confines of the command center, as Paranormal Military Squad's handpicked squad stood poised for potential enormities of contact.
+
+Ruffling through printed transmission logs, Jordan Hayes dialed the focus of their analytical prowess onto the emerging pattern of signals crisscrossing between Earth and the unfathomable. ""Our responses so far have echoed their complexity, but the real divergence is yet to come,"" Jordan remarked stoically, the calm belying the mounting surge of adrenaline for the revelation ahead.
+
+Alex Mercer's figure, a silhouette sharpened by the purpose, loomed at the periphery of the monitors' sickly glow. ""Indeed,"" he assented, ""The echoes are the easy part. It will be the introduction of our own, human variable that truly begins our dialogue.""
+
+Taylor Cruz, windowless command center notwithstanding, appeared as though they could feel the tempest above. Their eyes never left the monitors as they unspooled their hard wisdom. ""For all our advances, we find ourselves deciphering the swings and nuances of an interstellar pendulum. Predict its arc, and we may preempt the gravity of its message.""
+
+Amidst a chorus of bleeps and static, Sam Rivera's tech-clad hands moved rhythmically, their spirited approach to unruly streams of data bordering an intimate dance with entropy. ""Entropy that leads to discovery,"" Sam mused, responding to Taylor's metaphor. ""Each step into the unknown is a step away from precedent.""
+
+Alex, drawing near Jordan, spoke again, his voice now a thread woven through the very fabric of their operations. ""Let's be the cartographers of this new territory. Our initial shades of understanding could color the cosmos for generations to come.""
+
+Their gazes fell upon a screen as the latest transmission painted its digital blooms of alien script across the black. This time, the pattern wavered in an almost imperceptible fashion, a modification that whispered of active, alien thought awaiting their next move. A hush enveloped the Paranormal Military Squad ensemble, the gravity of the pathogen undeniable. They were about to issue a reply, one poised to reshape the very concept of humanity's outreach into the cosmos.
+
+The New Mexico desert's secrets were infamous, its storms a mere prelude to the revelations that the team—united in purpose—would unleash upon the world. The howling winds outside found their counterpart in the newfound resolve within, as Dulce's stalwart guardians readied themselves to send forth humanity's retort to the echoes from beyond.
+
+\*
+
+The cavernous control room, deeply entrenched beneath the desolate New Mexico terrain, held the Paranormal Military Squad team in intense focus; an island of calm amid the storm of cosmic dialectics. Dr. Jordan Hayes worked methodically, every keystroke an intricate step in their tenuous cosmic ballet. Suddenly, they paused, a signal pattern resonating from the screen. ""This is new; it's...inviting. It’s as if the signal is not just calling to us but weaving its intelligence through ours.""
+
+Alex Mercer scrutinized the shift in data. ""A confluence of minds, then. If we're to meet them halfway, Jordan, our reply must be both innovative and discerning,"" he proposed, a glimmer of profound curiosity behind his authoritative demeanor.
+
+Taylor Cruz, whose sharp eyes missed nothing, nodded from beside a secondary panel. ""Innovative, yes, but also defensive. This interaction is a razor’s edge, and we cannot afford to bleed before the unknown,"" Taylor reminded them, the metaphor a stark warning of potential dangers.
+
+Against the backdrop of their conversation, Sam Rivera’s youthful optimism cut through the tension. ""If they’re weaving through our intellect, then we've achieved something beyond first contact—we're at the genesis of interstellar symbiosis,"" they posited with a mix of reverence and excitement.
+
+Alex returned Sam’s smile with his own, tempered and faint, as he turned back to the task at hand. The magnitude of their mission extended beyond the fabric of the universe, an exploration into the threads that connected sentient beings across the vast expanse. “Let’s reply with our own woven tapestry of thought—delicate, but deliberate.”
+
+With renewed determination, the room came alive with an undercurrent of anticipation, its occupants charged with the potential of forging an alliance with the cosmos. Paranormal Military Squad's finest were no longer merely soldiers and scientists; they had become pioneers on the vanguard of humanity’s greatest odyssey.
+
+The New Mexican sands above, impassive to the change brewing underneath, stood as silent sentinels as Earth's emissaries crafted their response. A response that, composed with care and imbued with humanity's essence, reached into the void, connecting with an otherworldly intelligence that awaited their harmony in the cosmic conversation."
+"
+## Chapter 14
+
+The command center of Dulce Base lay shrouded in shadows that seemed to claw at the edges of the dimly lit array of screens and consoles. Alex Mercer, focused and unwavering, watched as Dr. Jordan Hayes parsed the latest string of alien signals—a symphony of otherworldly communications that threatened to either enlighten or confound.
+
+""We’re encountering a paradigm shift with every transmission,"" Jordan Hayes murmured, the pulsing glow of the monitor painting their features with an almost spectral hue. ""This signal... it’s evolving, becoming denser, more sophisticated. As if it's growing alongside us—tandem evolution.""
+
+The air was electric, charged with the raw potential of uncharted discovery and laden with the gravity of existential risk. Taylor Cruz, who always seemed here to mold such gravity into actionable strategies, stepped forward. ""We must contain this evolution within parameters we can manage. We cannot be bystanders to an uncontrolled ascent of intelligence.""
+
+Sam Rivera, the youngest of the cohort, worked feverishly at their station. ""It's not just intelligence—these signals have rhythm, a kind of music suggesting not just evolution, but a dance! We're being invited to partake in the cosmos's ballet!"" they exclaimed, a touch of youthful exuberance breaking through the solemnity.
+
+Alex turned, facing his team, the stoic mask of command tempered by the perceptible flicker of awe in his gaze. ""Let this dance then be our dialogue. We will match their steps with prudent but daring measures—our humanity as our guide.""
+
+In the ensuing hours, the Paranormal Military Squad team forged a rhythm of their own, their collective expertise a beacon piercing through the fog of the unknown. The signal, increasingly intricate and seemingly conscious, now demanded not just observation but participation, an interstellar pas de deux that hummed with the promise and peril of first contact.
+
+Before them, the communications interface flickered to life with a received transmission—a resonant hum that seemed to vibrate through the very foundations of the base. They had successfully established a back-and-forth with whatever intelligence lay hidden among the stars. Every subsequent note they struck within the cosmic ether would come to define humanity's place within the galactic community—heralds of Earth's grand entrance into a universe far less silent than once perceived. 
+
+\*
+
+In the concrete belly of Dulce Base, dimly lit by the jagged dance of fluorescent lights above, Sam Rivera perched on the edge of their seat, their eager fingers fluttering across an ancient keyboard. The stark, cold room—reminiscent of a time when covert operations and unspoken dread ruled supreme—now housed a peculiar blend of old-world machinery and sleek, modern interfaces.
+
+Alex Mercer, standing steadfast like a bridge between the enigmatic past and the unfathomable present, watched on. In his eyes flashed the foreboding excitement of change. ""Sam,"" he started, his voice steadfast, ""the patterns in these signals, what do they tell us about the nature of our... guest?""
+
+Sam's eyes glimmered with something akin to thrill—or was it trepidation? ""It's like we're mirroring each other, evolving together through this.. dialogue. Like it knows us, understands us, and it's… learning.""
+
+Jordan Hayes, preoccupied at a nearby console, chimed in without lifting their gaze. ""It's a dialogue that transcends mere words, Alex. We're being woven into a narrative far grander than the sum of our known sciences."" 
+
+Taylor Cruz, arms crossed, wore the heavy mantle of their skepticism comfortably. ""Keep theorizing,"" they interjected crisply, ""but remember the grounding reality of what we are part of here. This contact is a blade that cuts both ways.""
+
+In this cavern of history, voices both human and inhuman whispered secrets to those brave enough to listen. Each member present understood the gravity that pulled at their feet; no longer were they mere mortals shackled to their terrestrial plane. The digital pings and encrypted calls resonated with an implication of a cosmic agenda that would not be ignored.
+
+Jordan's fingers paused, hovering in hesitation. What ripple might the next keystroke send through the fabric of known existence? It was a step into the ballet of the infinite, where the Paranormal Military Squad team played their part in the waltz of wonders with an audience of stars.
+
+\*"
+"
+## Chapter 15
+
+In the clandestine hush of Dulce Base's subterranean command center, the Paranormal Military Squad team had become a crucible for interstellar communication. Dr. Jordan Hayes' gaze lingered on the screen as they navigated through the convolution of alien code. Each character held the potential to unravel a new dimension of contact, and with Sam Rivera's keen interjection, they were crafting humanity's inaugural cosmological discourse.
+
+Alex Mercer peered over Jordan's shoulder, calculating the implications of every visual nuance that cascaded across the monitor. ""Look for consistency—any repeating motifs could signal a willingness to engage. We're drafting history with each exchange,"" he remarked, aware of the delicate balance between forging a bond and exposing vulnerabilities.
+
+Taylor Cruz, stoic and enigmatic, observed the interplay from the threshold, a silhouette against the machinery's luminescence. ""Remember, while we seek common ground, the foundation we stand upon remains Terra firma. Caution must temper our curiosity,"" they stated, their voice an anchor amidst the current of excitement.
+
+The command center buzzed with energy, rivaled only by the tempest overhead that concealed their operation. Sam, with swift dexterity, navigated the communications relay. ""Their signals resonate almost musically. It's as if they're composing a symphony, and we've been handed the baton to conduct the next movement,"" they offered, imbuing the scenario with a blend of scientific adventurism and poetic license.
+
+Amidst the whirring servers and the occasional flicker of emergency lighting, the essence of their mission transcended mere reconnaissance. They were humanity's elected envoys at the brink of a celestial alliance—or confrontation—with an audience as vast as the universe itself.
+
+Alex stepped back, his profile etched by the chamber's artificial day. ""Then let's ensure our contribution to this symphony harmonizes with theirs. It's time for humanity's voice to rise and be counted among the cosmic ensemble.""
+
+Under his directive, the Paranormal Military Squad team initiated their calculated response, weaving thoughts and theories into a digital overture aimed at the heart of alien intellect. As the digital stream punctured the endless night, each member of this clandestine group was acutely aware of the irrevocable step they undertook—bringing Earth into the pantheon of galactic entities designed to converse among the stars.
+
+\*
+
+Clusters of high-tech equipment bathed the Dulce underground command center in an eerie blue light. Sam Rivera's fingers flew across the keyboard, navigating an elaborate network of alien patterns. The very air seemed to pulse with the ebb and flow of cryptic communications reaching across the stars. ""I've got something!"" Sam's announcement tore through the focus in the room, drawing every pair of eyes to the torrent of symbols unraveling on the screen.
+
+With the pacing of a seasoned officer gauging the moment before action, Alex Mercer approached, his calm demeanor belying an acute awareness of the precipice on which they now stood. ""Define 'something,"" Alex prompted, reinforcing the need for clarity amidst the extraordinary.
+
+""It's repeating—a sequence that’s evolved with each interaction, almost as if it's... singing,"" Sam theorized, the awe in their voice reflecting the potential magnitude of their discovery.
+
+Jordan Hayes interjected from across the console, their eyes not leaving the display as they absorbed the new data. ""A cosmic vocalization, then,"" they mused, intrigued. ""A singularity in the signal that might represent a point of reference for both parties.""
+
+Taylor Cruz, hands clasped behind their back, regarded the unfolding scene, their own calculations etching lines of concern onto their stern visage. ""Or a beacon—a homing tune, calling out to something we might not be ready to greet,"" Taylor offered, voicing the group's unspoken apprehension.
+
+Alex's eyes locked on the screen, taking in the scope of what they were attempting to interpret. Drawing a deep breath, Alex gave a slight nod. ""If this is their song, then let us respond with ours. We've come this far by mirroring their signals, now let's engage in an interstellar duet, and see where the music leads us.""
+
+With the expectation of the significant achieving a crescendo, the members of Paranormal Military Squad huddled over their equipment—sages at the threshold of a potentially world-altering communion. The strange harmonies that reverberated through the command center suggested that their interlocutors were poised, waiting, perhaps even eager, for Earth's chorus to join the symphony.
+
+As the team initiated their reply, weaving humanity's own intricate melody into the vast cosmic dialogue, they each felt a profound change within—an evolution of purpose. They were not just messengers or investigators; they had become co-composers in a galactic orchestra, with the universe itself as their witness and concert hall.
+
+With the exchange of harmonious signals crawling through the vacuum of space, the Paranormal Military Squad operatives found themselves part of a bridging of minds—a realization that out there, among the vast arrays of stars and planets, harmony was the true universal language.
+
+\*
+
+The dim glow of monitors cast an otherworldly ambiance upon Dulce Base's command center, where Paranormal Military Squad's chosen stood huddled over their instruments, suspended at history's threshold. Codes—alien in origin and nature—were being deciphered by Dr. Jordan Hayes, whose countenance bore the marks of deep concentration.
+
+Alex Mercer, the bedrock upon which their team's resolve was founded, leaned in with an eagerness tempered by his chain of command. ""Jordan, we've invested our expertise into comprehending their patterns, but now we must also endeavor to understand their intent,"" he urged, his voice bearing the gravitas of their mission's potential consequences.
+
+At another console, Sam Rivera's youth did not betray their crucial role in the operation. With eyes alight, they mirrored the rapid computing before them. ""There's emotion here—complex, profound even. This isn't just the output of a cold machine; it's...sentience,"" Sam whispered, nearly drowned by the mechanical chorus around them.
+
+Jordan, without shifting focus from their work, replied, ""It's a sentience that—should we succeed here—ushers us into a new era of existence. The cadence of these signals,"" they tapped the screen with a flourish, ""could well be the heartbeat of this new dawn.""
+
+Taylor Cruz paused beside Mercer, their expression unreadable beneath the sterile light. ""And as it beats, we must gauge whether its rhythm bodes well for us, or spells our missteps. Courage must not blind us to the hazards intrinsic to such contact,"" Taylor cautioned, the sentinel within them ever alert.
+
+Alex nodded, a gesture that carried the weight of responsibility and a silent command: proceed, but with circumspection. They were not merely decoding a message; they were interpreting a dialogue across the celestial divide.
+
+The room fell into a rhythm akin to a well-conducted ensemble. Each member's expertise proved a critical note in the unfolding symphony. Their actions were now more than mere research or defense; they were the tentative overtures of humankind reaching out to grasp the vast unknown.
+
+Textures of sound meshed with the light from countless computations, the palpable anticipation of the agents at the edge of discovery cresting with an awareness that their work would reshape future chronicles. And when the response finally came—a signal piercing the deafening silence of uncertainty—all within Dulce's confines understood: the dawn of an interstellar continuum had just begun to break.
+
+\*
+
+In the sterile hum and flickering lights of Dulce Base's command center, the Paranormal Military Squad team stood as humanity's vanguard, verging on the brim of an intergalactic abyss. Dr. Jordan Hayes, analytical edges sharp, deciphered extraterrestrial patterns that bled across screens in enigmatic cascades—a daunting mosaic of potential threats and untapped wisdom.
+
+Agent Alex Mercer, the embodiment of focus and a steadfast nerve, observed the unfolding digital drama with the gravitas due a historic first contact. ""Let the data weave its narrative, Jordan,"" he instructed, a moderate undertone of exhilaration within his command. ""It's encoding more than information—it's outlining civilization.""
+
+Jordan absorbed the directive, their gaze unflinching from the screens, feeling the weight of their next move. ""The nuances here are extraordinary,"" they acknowledged. ""It paints a picture of a culture steeped in complexities we're only starting to fathom.”
+
+Taylor Cruz, stoicism personified yet not immune to the situation's gravity, chimed in. ""Understand it, but guard against it,"" they cautioned, bringing a sober prudence to the room. ""This culture, however advanced, remains an unknown quantity—an ocean of wonders and darkness with uncertain tides.""
+
+Sam Rivera, a visual contrast with wide eyes and restless hands, represented the other side of the room — intrigue and optimism against the drawn swords of precaution. “Think of it,” they proposed, voice bouncing with a rebellious upbeat timbre, “as the first act of a play written in constellations. We're setting the stage for a galactic narrative.”
+
+Each team member, in their way, was both actor and scribe in this moment of tense pageantry. Heavy with the presence of risk, the command center had become not just a room of computers and glass panels but a theater for performing the elaborate choreography of contact.
+
+Bound by resolve and curiosity, they proceeded, each data entry a trembling step onto the cosmic stage. And like all cautious pioneers edging into fertile but unnavigated lands, they understood: as they mapped the heavens, they were simultaneously mapping the furthest reaches of their own existential horizons.
+
+"
\ No newline at end of file
diff --git a/graphrag/tests/fixtures/min-csv/input/dulce.txt b/graphrag/tests/fixtures/min-csv/input/dulce.txt
new file mode 100644
index 0000000000000000000000000000000000000000..95c9e3cd3af76b570f0550d69b2025d7cd6fafbb
--- /dev/null
+++ b/graphrag/tests/fixtures/min-csv/input/dulce.txt
@@ -0,0 +1,970 @@
+# Operation: Dulce
+
+## Chapter 1
+
+The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce.
+
+“I assume, Agent Mercer, you’re not having second thoughts?” It was Taylor Cruz’s voice, laced with an edge that demanded attention.
+
+Alex flickered a strained smile, still thumbing his folder's corner. "Of course not, Agent Cruz. Just trying to soak in all the details." The compliance in his tone was unsettling, even to himself.
+
+Jordan Hayes, perched on the opposite side of the table, narrowed their eyes but offered a supportive nod. "Details are imperative. We’ll need your clear-headedness down there, Mercer."
+
+A comfortable silence, the kind that threaded between veterans of shared secrets, lingered briefly before Sam Rivera, never one to submit to quiet, added, "I’ve combed through the last transmission logs. If anyone can make sense of the anomalies, it’s going to be the two of you."
+
+Taylor snorted dismissively. “Focus, people. We have protocols for a reason. Speculation is counter-productive.” The words 'counter-productive' seemed to hang in the air, a tacit reprimand directed at Alex.
+
+Feeling the weight of his compliance conflicting with his natural inclination to leave no stone unturned, Alex straightened in his seat. "I agree, Agent Cruz. Protocol is paramount," he said, meeting Taylor's steely gaze. It was an affirmation, but beneath it lay layers of unspoken complexities that would undoubtedly unwind with time.
+
+Alex's submission, though seemingly complete, didn't escape Jordan, who tilted their head ever so slightly, their eyes revealing a spark of understanding. They knew well enough the struggle of aligning personal convictions with overarching missions. As everyone began to collect their binders and prepare for departure, a quiet resolve took form within Alex, galvanized by the groundwork laid by their interactions. He may have spoken in compliance, but his determination had merely taken a subtler form — one that wouldn't surrender so easily to the forthcoming shadows.
+
+\*
+
+Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive."
+
+A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic."
+
+Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. 
+
+Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field.
+
+The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._
+
+As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come.
+
+\*
+
+A deserted corridor inside the facility stretched before Taylor Cruz, each footstep rhythmic and precise. Cruz, ambitious and meticulous, eyed the troops passing by with a sardonic tilt of the lips. Obedience—it was as much a tool as any weapon in the arsenal, and Cruz wielded it masterfully. To them, it was another step toward unfettered power within the dark bowels of the military complex.
+
+Inside a secluded equipment bay, Cruz began checking over gear with mechanical efficiency. They traced fingers over the sleek surface of an encrypted radio transmitter. "If protocols are maintained," said Cruz aloud, rehearsing the speech for their subordinates, "not only will we re-establish a line of communication with Dulce, but we shall also illuminate the darkest secrets it conceals."
+
+Agent Hayes appeared in the doorway, arms crossed and a knowing glint in their eyes. "You do understand," Jordan began, the words measured and probing, "that once we're in the depths, rank gives way to survival instincts. It's not about commands—it's empowerment through trust."
+
+The sentiment snagged on Cruz's armor of confidence, probing at the insecurities festering beneath. Taylor offered a brief nod, perhaps too curt, but enough to acknowledge Jordan's point without yielding ground. "Trust," Cruz mused, "or the illusion thereof, is just as potent."
+
+Silence claimed the space between them, steeped in the reality of the unknown dangers lurking in the shadows of the mission. Cruz diligently returned to the equipment, the act a clear dismissal.
+
+Not much later, Cruz stood alone, the hollow echo of the bay a stark reminder of the isolation that power often wrought. With each checked box, their resolve steeled further, a silent vow to usher their team through the abyss—whatever it might hold—and emerge enshrined in the respect they so deeply craved.
+
+## Chapter 2
+
+Sam Rivera sat alone in a cramped office, the hum of a dozen servers murmuring a digital lullaby in the background. Surrounded by the glow of multiple screens, their eyes danced across lines of code and intercepted comm signals from Dulce — a kaleidoscope of data that their curious and isolated mind hungered to decrypt.
+
+To an outsider, it might have looked like obsession, this fervent quest for answers. But to Sam, it was a dance — a give and take with the mysteries of the universe. Their fingers paused over the keyboard as they leaned back in the chair, whispering to thin air, "What secrets are you hiding from us?"
+
+The stillness of the room broke with the unexpected arrival of Alex Mercer, whose encroaching shadow loomed over Sam's workspace. The cybersecurity expert craned their neck upwards, met by the ever-so-slight furrow in Alex's brow. "Got a minute, Rivera?"
+
+"Always," Sam said, a smile surfacing as they swiveled to face their mentor more directly. _He has that look — like something's not sitting right with him,_ they noted inwardly.
+
+Alex hesitated, weighing his words carefully. "Our tech is top-tier, but the silence from Dulce... It's not just technology that will see us through, it's intuition and... trust." His gaze pierced through the digital haze, trying to instill something more profound than advice.
+
+Sam regarded Alex for a moment, the sincerity in his voice resonating with their own unspoken desire to prove their worth. "Intuition," they mirrored thoughtfully. "I guess sometimes the numbers don't have all the answers."
+
+Their shared silence held a newfound understanding, a recognition that between the ones and zeros, it was their combined human insights that might prevail against the impossible. As Alex turned to leave, Sam's eyes drifted back to the screens, now seeing them not as barriers to isolate behind, but as windows into the vast and enigmatic challenge that awaited their team.
+
+Outside the office, the persistent buzz of activity in the facility belied the unease that gripped its inhabitants. A restlessness that nibbled on the edges of reality, as though forewarning of the threshold they were soon to cross — from the known into the realm of cosmic secrets and silent threats.
+
+\*
+
+Shadows played against the walls of the cramped underground meeting room, where Alex Mercer stood gazing at the concealed elevator that would deliver them into the bowels of Dulce base. The air was thick, every breath laced with the weight of impending confrontation, the kind one feels when stepping into a legend. Though armed with an array of advanced weaponry and gear, there was an unshakeable sense that they were delving into a conflict where the physical might be of little consequence.
+
+"I know what you're thinking," Jordan Hayes remarked, approaching Mercer. Their voice was low, a blend of confidence and hidden apprehension. "This feels like more than a rescue or reconnaissance mission, doesn't it?"
+
+Alex turned, his features a mask of uneasy resolve. "It's like we're being pulled into someone else’s game. Not just observers or participants, but... pawns."
+
+Jordan gave a short nod, their analytical mind colliding with the uncertain dynamics of this operation. "I've felt that way since the briefing. Like there's a layer we’re not seeing. And yet, we have no choice but to play along." Their eyes locked with Alex's, silently exchanging a vow to remain vigilant.
+
+"You two need to cut the philosophical chatter. We have positions to secure," Taylor Cruz interjected sharply, stepping into their exchange. The authority in Taylor's voice brooked no argument; it was their way of pulling everyone back to the now.
+
+Alex's response was measured, more assertive than moments ago. "Acknowledged, Agent Cruz," he replied, his voice steadier, mirroring the transformation brewing within. He gripped his rifle with a newfound firmness. "Let's proceed."
+
+As they congregated at the elevator, a tension palpable, Sam Rivera piped in with a tone of balanced levity, "Hope everyone’s brought their good luck charms. Something tells me we’re going to need all the help we can get."
+
+Their laughter served as a brief respite from the gravity of their mission, a shared moment that reinforced their common humanity amidst the unknowable. Then, as one, they stepped into the elevator. The doors closed with a silent hiss, and they descended into the darkness together, aware that when they returned, if they returned, none of them would be the same.
+
+\*
+
+The sense of foreboding hung heavier than the darkness that the artificial lights of the elevator shaft failed to fully penetrate. The team was descending into the earth, carrying with them not only the weight of their equipment but also the silent pressure of the invisible war they were about to fight—a war that seemed to edge away from physicality and into the unnervingly psychological.
+
+As they descended, Dr. Jordan Hayes couldn't help but muse over the layers of data that could wait below, now almost longing for the comfort of empirical evidence. _To think that this reluctance to accept other possibilities may have been my biggest blind spot,_ Jordan contemplated, feeling the hard shell of skepticism begin to crack.
+
+Alex caught Jordan's reflective gaze and leaned in, his voice barely a murmur over the hum of the elevator. "Once we're down there, keep that analytical edge sharp. You see through the mazes of the unexplained better than anyone."
+
+The compliment was unexpected and weighed differently than praise from others. This was an acknowledgment from someone who stood on the front lines of the unknown with eyes wide open. "Thank you, Alex," Jordan said, the words carrying a trace of newfound assertiveness. "You can count on me."
+
+The exchange was cut short by a shudder that ran through the elevator, subtle, but enough to make them instinctively hold their breaths. It wasn't the mechanical stutter of old gears but a vibration that seemed to emanate from the very walls of the shaft—a whisper of something that defied natural explanation.
+
+Cruz was the first to react, all business despite the shadow that crossed their expression. "Systems check. Now," they barked out, masking the moment of disquiet with swift command.
+
+Every agent checked their gear, sending confirmation signals through their comms, creating a chorus of electronic beeps that promised readiness. But there was an unspoken question among them: was their technology, their weaponry, their protocols sufficient for what awaited them or merely a fragile comfort?
+
+Against the gravity of the silence that was once again closing in, Sam's voice crackled through, only half-jest. "I'd laugh if we run into Martians playing poker down there—just to lighten the mood, you know?"
+
+Despite—or perhaps because of—the oddity of the moment, this elicited a round of chuckles, an audible release of tension that ran counterpoint to the undercurrent of anxiety coursing through the team.
+
+As the elevator came to a halting, eerie calm at the sub-level, the group stepped off, finding themselves at the threshold of Dulce's mysterious halls. They stood in a tight pack, sharing a cautious glance before fanning out into the unknown, each one acutely aware that the truth was inevitably intertwined with danger.
+
+Into the depths of Dulce, the team advanced, their silence now a shared testament to the camaraderie born of facing the abyss together—and the steel resolve to uncover whatever horrors lay hidden in its shadows.
+
+\*
+
+The weight of the thick metal door closing behind them reverberated through the concrete hallway, marking the final threshold between the familiar world above and the strangeness that lay beneath. Dulce base, a name that had been whispered in the wind-blown deserts above and in the shadowed corners of conspiracy forums, now a tangible cold reality that they could touch — and that touched them back with a chill.
+
+Like lambs led to an altar of alien deities, so did Agents Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera proceed, their movements measured, their senses heightened. The air was still, almost respectful of the gravity of their presence. Their torch beams sliced through the darkness, uncovering steel doors with warnings that spoke of top secrets and mortal dangers.
+
+Taylor Cruz, stepping firmly into the role of de facto leader, set a brisk pace. "Eyes sharp, people. Comms check, every thirty seconds," Taylor ordered, their voice echoing slightly before being swallowed by the surrounding silence.
+
+Sam, fiddling with a handheld device aimed at detecting electronic anomalies, offered a murmured "Copy that," their usual buoyancy dimmed by the oppressive atmosphere.
+
+It was Jordan Hayes who paused at an innocuous looking panel, nondescript amongst the gauntlet of secured doorways. "Mercer, Rivera, come see this," Jordan’s voice was marked with a rare hint of urgency.
+
+Alex joined Jordan's side, examining the panel which, at a mere glance, seemed just another part of the base's infrastructure. Yet, to the trained eye, it appeared out of place—a facade.
+
+Jordan explained their reasoning as Sam approached, instinctively understanding the significance of what lay beneath, "This panel is a recent addition — covering something they didn't want found."
+
+Before Alex could respond, the soft whir of an approaching drone cut through their muffled exchange. Taylor had looped back upon hearing the commotion. "Explanations later. We can't afford to attract..." Cruz’s voice trailed off as the small airborne device came into view, its sensors locked onto the group.
+
+Sam was the first to react, their tech-savvy mind already steps ahead. "I've got this," they declared, fingers flying over the controls of their own gadgetry to ward off the impending threat.
+
+The drone lingered, its scan seeming more curious than hostile. But within moments, courtesy of Sam's interference, the little sentinel drifted away, retreating into the shadows as if accepting a silent truce. The crew exhaled, a moment of collective relief palpable in the air.
+
+Cruz squared their shoulders, clearly ruffled but not conceding any ground. "Move out," they directed, a hint more forceful than before. "And Rivera, keep that trick handy."
+
+The team pressed onward, the quiet now filled with the soft beeps of regular comms checks, their pace undeterred by the confrontation. Yet, every agent held a renewed sense of wariness, their trust in one another deepening with the knowledge that the base—its technology, its secrets—was alive in a way they hadn't fully anticipated.
+
+As they converged upon a central hub, the imposing doors to the mainframe room stood ajar — an invitation or a trap, neither option comforting. Without a word, they fortified their resolve and stepped through the threshold, where the dim glow of operational LED lights and the distant hum of machinery hinted at Dulce’s still-beating heart.
+
+Solemnly, yet unmistakably together, they moved deeper into the heart of the enigma, ready to unmask the lifeforce of Dulce base or confront whatever existential threat lay in wait. It was in that unwavering march towards the unknown that their destinies were forever cemented to the legacy of Operation: Dulce.
+
+## Chapter 3
+
+The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce.
+
+\*
+
+The cooling vents hummed in a monotonous drone, but it was the crackle of the comms system coming to life that cut through the lab’s tension. Dr. Jordan Hayes hovered over a table arrayed with alien technology, their fingers delicately probing the enigmatic circuitry retrieved from the crash site. Agent Alex Mercer watched, admiration blooming in silent solidarity for Jordan's deft touch and unspoken drive.
+
+Jordan, always composed, only allowed the faintest furrow of concentration to mar their brow. "What we understand about physics..." they muttered, trailing off as they realigned a translucent component. The device emitted a low pulse, causing Jordan to still. "Could be fundamentally changed by this."
+
+A calculated risk—that's what this was. And for a person of science, a gamble was worth the potential paradigm shift.
+
+"I’ve been thinking," Alex started, his eyes still fixed on the immediately tangible mystery before them. "About what’s at stake here. Not the mission parameters, but what this means for us—humanity."
+
+Jordan glanced up, meeting his eyes just long enough to convey the shared enormity of their situation; the career-defining glory and existential dread entwined. "The quest for understanding always comes at a price. We're standing on the precipice of knowledge that could either elevate us or condemn us."
+
+The charged air between them spiked as Taylor Cruz’s brusque tones sliced through their reverie. "Hayes, Mercer, this isn't philosophy hour. Focus on the task. We need actionable intel, not daydreams."
+
+With a sound of restrained acknowledgment, Jordan returned their gaze to the device, while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.
+
+Then Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”
+
+The underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.
+
+It was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths and for different reasons. Yet, beneath the veneer of duty, the enticement of the vast unknown pulled them inexorably together, coalescing their distinct desires into a shared pulse of anticipation.
+
+Marshaled back to the moment by the blink of lights and whir of machinery, they refocused their efforts, each movement sharpened by the knowledge that beyond understanding the unearthly artifacts, they might be piecing together the future of their species.
+
+\*
+
+Amidst the sterility of the briefing room, the liminal space between the facts laid out and the hidden truths, sat Sam Rivera, his demeanor an artful balance of focus and a casual disguise of his razor-sharp talent with technology. Across from him, Alex Mercer lingered in thought, the mental cogs turning as each file on Dulce stirred more than curiosity—it beckoned to a past both honored and burdensome.
+
+"You've been quiet, Sam," Alex noted, catching the younger man's contemplative gaze. "Your take on these signal inconsistencies?"
+
+There was a respect in Alex's tone, though a respectful distance remained—a gulf of experience and a hint of protective mentorship that stood between them. Sam nodded, recognizing the space afforded to him, and he couldn't help but feel the weight of expectation pressing upon his shoulders. It wasn't just the mission that was immense, it was the trust being placed in him.
+
+"The patterns are... off," Sam admitted, hesitant but driven. "If I'm right, what we're looking at isn't random—it's a structured anomaly. We need to be ready for anything." 
+
+Alex's eyes brightened with a subtle approval that crossed the distance like a silent nod. "Good. Keen eyes will keep us ahead—or at least not blindsided," he said, affirming the belief that inscribed Sam's role as more than the tech personnel—he was to be a guiding intellect in the heart of uncertainty.
+
+Their exchange was cut short by Taylor Cruz's abrupt arrival, his gait brimming with a robust confidence that veiled the sharp undercurrents of his striving nature. "Time to gear up. Dulce waits for no one," Taylor announced, his voice carrying an iron resolve that knew the costs of hesitation—though whether the cost was calculated in human or career terms was an ambiguity he wore like a badge of honor.
+
+As Sam and Alex nodded in unison, the icy chasm of hierarchy and cryptic protocols seemed momentarily to bridge over with an understanding—this mission was convergence, a nexus point that would challenge each of their motives and strength.
+
+They filed out of the briefing room, their footsteps synchronized, a rhythm that spoke volumes of the unknown cadence they would soon march to within the base's veins. For Alex Mercer, the link with Sam Rivera, though distant, was now poised with a mutuality ready to be tested; for Taylor Cruz, the initiative pulsed like a heartbeat, anticipation thinly veiled behind a mask of duty.
+
+In the midst of the descent, they were each alone yet irrevocably joined, stepping closer towards the volatile embrace of Operation: Dulce.
+
+## Chapter 4
+
+The corridors of the Dulce military base were as silent as a tomb and twice as chilling. Alex Mercer walked with a surety that belied his bubbling undercurrents of doubt. The briefing had been definitive, sturdy pillars of facts and protocols, yet as he ventured deeper, the ominous atmosphere gnawed at him—a stark reminder of how much remained unknown.
+
+Jordan Hayes trailed a few steps behind, their detached exterior breaking for a moment as they caught up to Alex. "What's on your mind?" Jordan asked, their astuteness cutting through the unspoken tension.
+
+Alex glanced back at them. This place was a puzzle, a treacherous labyrinth where the walls whispered secrets, and among them, he sensed a call to question, to challenge the narrative they'd been sold. "The silence here... It's almost as if the base is waiting for something—or someone."
+
+"Just stay sharp, Mercer," Jordan cautioned, yet their eyes lingered on the quietude around them, conceiving the same shadow of doubt that unsettled Alex.
+
+Before they could delve into further discussion, the distinctive click of a safety catch echoed in the hollow space. Both agents turned to find Taylor Cruz standing resolute, primed for combat. Taylor's gaze was scrutinizing and cold, a stark contrast to the growing unease that smoldered silently amongst the rest.
+
+"Chatter is a liability," Taylor snapped, with a commanding flair that bordered on tyrannical. "We move forward, eyes open, mouths shut."
+
+Alex felt the tight grip of compliance strangle his gut, a lesson learned under the hard tutelage of rank and order. But here, in the bowels of Dulce, those instincts began to wane, the imperative to adhere now conflicting with the pressing urgency to confront the shadows they were enmeshed in.
+
+Then, unexpectedly, the lights flickered, a power fluctuation—or a sign? Alex's hand instinctively went to his sidearm, his mindset shifting from soldier to skeptic. The base, with its unyielding coldness, had just given them their first nudge into the realm of the speculative, an invitation to peel back the veneer of reality.
+
+"We should consider all possibilities," Alex murmured, more to himself than the others, his voice a barely audible breath against the sterile air of the complex.
+
+Taylor's posture stiffened at the challenge, yet their response was uncharacteristically reserved, notable in its lack of rebuke. "Agreed. For now, keep moving. But stay vigilant."
+
+A surprise—an echo of agreement from the last person Alex expected it from. And there it was, the glimpse of a wrinkle in the unyielding fabric of command, a hint that perhaps they were all starting to sense the strangeness that permeated this place.
+
+Progressing with determined steps, the trio moved deeper, silently acknowledging the evolution of their predicament. It was a small yet transformative concession to the unknown forces at play, an acknowledgment from each agent that, despite their disparate goals and ideals, the true nature of the Dulce base was an enigma that would forge new paths through their convictions.
+
+As they reached the central communications hub, the truth that awaited them lurked in the shadows, its eyes unseen but felt by all. The walls didn't just whisper now; they spoke in tones only the brave—or the foolish—would dare to listen to.
+
+\*
+
+The subterranean silence of Dulce was an oppressive entity of its own, wrapping the team in a cloak of uneasiness as they pressed on through the dimly lit corridor. Jordan Hayes found themselves contemplating the ramifications of each step taken into this suspended world, where the sterile air seemed to mock the gravity of their predicament. The closer they got to the communication hub, the more Jordan's mind wandered toward the realm of the inexplicable.
+
+Beside Jordan, Alex Mercer moved forward with deliberation, his gaze scanning the heavy utility doors they passed—one of which was partially ajar, beckoning them with its darkness. "After you, Dr. Hayes," Alex said, gesturing toward the mysterious opening. A hint of shared understanding passed between them; knowledge was the guiding star of this mission as much as confrontation or recovery.
+
+Jordan peered inside, the beam from their flashlight slicing through the obscurity. The room beyond was a chaotic cascade of papers, overturned furniture, and the particular kind of disorder born from hasty evacuation—or something far more sinister.
+
+"It's like they vanished in the middle of something urgent," Alex murmured, his voice tight with a mix of concern and anticipation. He began to sift through the scattered reports, each page a potential clue to the enigmatic silence that shrouded Dulce.
+
+Behind them, Taylor watched with a disciplined patience, their authority the foundation upon which the operation was built. Their voice cut into the stillness, a reminder of their presence, "Time is not our ally here."
+
+Drawing back from momentary distraction, Jordan acknowledged the wisdom in Taylor's words, yet could feel the shift in their stance—from skeptical, reserved analyst, to a proactive agent within the narrative. "You're right; these documents may hold critical insights. Let's collect what we can and analyze them properly."
+
+From the darkened hollows of the room, shadows seemed to cast subtle judgment as Alex and Jordan worked together with heightened urgency. Taylor, for once, didn't intervene but instead surveyed the entrance, their mind anticipating the unknown variables that lay ahead.
+
+Unexpectedly, a soft hiss emanated from a neglected terminal on the desk. Jordan's head snapped up, their heart rate accelerating at the potential ramifications. Without a word, they moved to the machine, hands driven by the newfound conviction that knowledge was more than power—it was survival.
+
+As Jordan began to extract what data they could from the terminal, the first comprehensible communication from the depths of Dulce in far too long crackled through: an automated distress marker, looping endlessly without further context. It was a revelation, one that reverberated through the group, confirming their fears and igniting an even greater need to press on.
+
+Watching Jordan's dogged determination, Alex witnessed the minor transformation in his colleague unfold—a shift from doubt to action, a sliver of belief in the possibilities beyond their rational understanding. This forge of resolve amidst the alien echoes of Dulce not only bonded them closer as a team but compelled them forward with a sharpened edge of responsibility to the truth, wherever it would lead.
+
+As they collected their findings and regrouped, the base around them imperceptibly changed, the air charged with the vibration of secrets poised on the brink of revelation. And in that charged silence, the group moved on, each now carrying pieces of a puzzle that would soon converge into a picture of galactic significance.
+
+\*
+
+In the chill of the cramped server room, the hum of machinery was the backbone to a symphony of data streams coursing through the air. Dr. Jordan Hayes, nerves alight with the mission's mounting unknowns, patched into the last known coordinates of the unsent distress broadcast they had uncovered. They were so close to the core now – to the truth behind the blackout – it was almost tangible.
+
+Beside them stood Agent Alex Mercer, ever the soldier, yet with eyes that betrayed an intellect craving to understand the murk beneath the surface. "Any progress, Dr. Hayes?" Alex queried, his voice betraying a subtle urgency.
+
+"Getting there," Jordan replied, fingers dancing across the keyboard. "Whoever sent this was cut off mid-transmission. It's as if Dulce itself swallowed the message whole."
+
+Taylor Cruz closed in, their frame casting a long shadow over the duo, evoking an almost palpable wall between them and the forward momentum of their mission. "Time is against us," Taylor intoned, more statement than threat. "What we uncover here determines our next course of action."
+
+Alex acknowledged Taylor with a brisk nod, his stance firm. Yet inwardly, the tightening grip he felt from Taylor's words couldn't throttle the swell of his own investigative instinct. His soldier's obedience had begun to war with the advocate's zeal for unveiling the dark heart of Dulce's secrets. 
+
+And then, the unexpected occurred. The screens flashed in unison, spilling a discordant stream of symbols and images that defied immediate analysis. Jordan's breath caught – this was the response they had been fishing for, an alien communication protocol resonating just at the edge of human comprehension.
+
+Each member of the team felt it: a shift in the room’s very atmosphere, like a veil being drawn from their perception. Alex and Jordan stood still, absorbed in the bewilderment of contact, while Taylor, despite their authority, hesitated – a minor betrayal that unease was creeping into even their disciplined heart.
+
+"Thoughts, Rivera?" Taylor rallied, seeking the counsel of Sam Rivera, whose eyes were wide with exhilaration.
+
+Sam stepped forward, breaking the spell of stillness. "It's like nothing I've ever seen before, but I think I can bridge our systems to communicate," they declared, a wisp of optimism braiding their voice. They set about adapting their gear to transmute the foreign signals into something the team could dissect, their actions a testament to the mentorship and belief instilled in them by Mercer and the team.
+
+Taylor observed them, a cold calculation behind their facade, as they weighed the worth of this anomaly. It was a crossroad that potentially led to either monumental breakthrough or unprecedented catastrophe. "Once you've established a line, document everything. We can't afford to miss any detail," Taylor ordered, the words sharper than intended.
+
+The connection was made, and with trembling anticipation, the team listened as the first garbled outputs began to emerge, their very essence promising insights that could alter the course of history. It was an enigmatic dance with the unknown, the pulse of Dulce no longer just a place, but a herald to an alien register the team had yet to decipher.
+
+Together, they stood at the precipice of understanding, where the faint glow of their monitors cast more than just light – it cast the shadow of burgeoning transformation. It was in this moment, in the grasp of an extraterrestrial tongue, that the team, bound by a hunger for knowledge and the raw edge of survival, found their mission reframed from a search for answers to the articulation of a question humankind had yet to fully ask.
+
+Silent in their commune with the inexplicable frequency, they realized they were not merely investigators; they had become liaisons on behalf of Earth, interpreters of a cosmic message that could redefine their very existence. The implications loomed large, but now, they would not face them alone – they would face them as a united front, wrought together by the very mysteries that once drove them apart.
+
+## Chapter 5
+
+Dr. Jordan Hayes clutched the edge of the briefing room table, their fingers white-knuckled against the laminate surface, as an array of constellations rotated on the projector—charts and graphs bleeding across the stars. In the dim room, nebulas and dark matter seemed within arm's reach, tangible yet unfathomable. 
+
+Sam Rivera leaned back against the wall, arms crossed, gaze darting between the swirling cosmos and the faces of their companions. A taut line of concentration etched their young features, a mingling of fervent curiosity with the nascent understanding of the high stakes for which they played.
+
+Jordan's voice broke the profound silence. "The patterns in the signal disruptions sync with none other than zenithal star alignments. It's as if... as if these 'meet and greets' were scheduled, predestined by celestial mechanics."
+
+The statement hung heavy, daring the occupants of the room to unravel its implications. Alex Mercer, his prior military resolve momentarily suspended, absorbed the hypothesis with a visible hunger. "It's like we're adhering to an appointment we never knew we had," he murmured, his heart a drumbeat in his chest.
+
+Taylor Cruz snorted—a sound that clattered against the high concepts like a tumbledown shack in a futurist cityscape. Folding their arms, they glanced between the agents, their apprehension clad in the contempt of practicality. "What we need are facts, not mystic conjecture."
+
+Alex pivoted on his heel, facing Taylor squarely, and his voice found its edge of steel. "This isn't mysticism, Cruz. It's a hypothesis based on observed phenomena as unpredictable as the place we're standing in."
+
+Taylor's gaze never wavered, yet the slight twitch at the corner of their mouth belied their taut composure. "If there's a semblance of truth to it, then it's critical intel. But remember, we're not astrologers—we're soldiers and scientists."
+
+Jordan met Taylor’s gaze with a curt nod, accepting the caution even as the crucible of their intellect smoldered with the fervor of cosmic discovery. Their eyes flicked to Sam, whose steady presence and ready tech affirmed a burgeoning dynamic—the makings of a sentinel, standing guard over the threshold of human understanding and cosmic reality.
+
+With the projector casting pallid light over their features, each agent became a silhouette of purpose, shadows pillared against the backdrop of an endless universe. The story they were embroiled in would soon demand they plunge into darkness to retrieve the light of knowledge—a light that could very well redraw the shape of their world.
+
+They left the briefing room with a shared silence, each pondering the vast weave of celestial intent and terrestrial response, sensing that the galactic appointment to which they'd unwittingly RSVP’d was more insistent—and more threatening—than any operation they’d faced before.
+
+\*
+
+As the Paranormal Military Squad team convened in the heart of the Dulce military complex, an air of bristling expectation clung to the walls of the underground sanctum. Alex Mercer’s brow furrowed while watching his companions—Jordan Hayes, diligently setting up their makeshift lab station, and Sam Rivera meticulously checking the communication relays they had restored. Taylor Cruz observed with hawk-like focus, yet to betray the strain that their command posed on them.
+
+The gravity of the mission had shifted, deepened; each member of the team felt its pull, tethered to the understanding that they were now part of a larger narrative—a cosmic play with Earth as a stage and the human race unwitting actors. 
+
+Jordan paused, a tension creeping across their shoulders as they aligned the satellite data with the alien message that had been decoded. "The instructions in this message," Jordan started, the timbre of their voice betraying their usual composure. "They're coordinates and... a warning."
+
+Sam leaned in, their eyes widening behind the glow of their laptop screen. "A warning? Like, ‘stay away from’, or ‘beware of’...?" Their words trailed off, uncertainty a new companion in their lexicon.
+
+Alex exhaled slowly, his mind racing to connect the dots. "It doesn't matter which," he said, decisive yet contemplative. "What matters is we understand intent. Are we being warned out of concern, or are we stumbling upon a threat?"
+
+Cruz’s iron-clad facade momentarily cracked, a fleeting glimpse of vulnerability flashing through their eyes. "We need to know if this entails additional risk to the operation," they said, directing their gaze specifically at Alex. "Mercer, I rely on you to keep the team grounded. No one goes off-course."
+
+Their reminder seemed both a command and a plea—rooted in an understanding that each member of the team now faced the duality of their roles, protectors of earthly secrets and heralds of potentially devastating revelations.
+
+Sam's fingers stilled mid-type, their task forgotten as they absorbed the weight of the unfolding reality. "We're the first line of defense... or detection," they mused half to themselves, a growing sense of agency within the larger play they were cast into.
+
+Jordan returned to the data, more resolute in their actions. The warning, whether cautionary or dire, was a beacon they no longer could ignore; its light casting aside shadows of doubt and igniting a collective purpose within the team.
+
+Alex watched Jordan and Sam, feeling a brotherhood in their shared quest. As Cruz paced, poised on the cusp of decisions that would mark their career and perhaps the fate of many, Alex knew the narrative had changed. They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.
+
+Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.
+
+Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer’s latter instincts gained precedence— the team’s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly hierarchies but by the pulsing symphony of the universe itself.
+
+\*
+
+The desert night loomed eerily still as echoes of hidden activity reverberated deep beneath the bleak sands of New Mexico. Diverting his gaze from the array of sensors before him, Jordan Hayes allowed a rare breath, deep and anxious. Turning to Alex Mercer's focused silhouette, the nocturnal landscape illuminated softly by makeshift floodlights, Jordan felt the syncopated tempo of apprehension and exhilaration jockey for primacy within.
+
+"The closer we get to unlocking these messages, the more I feel like we're peeling back layers of reality itself," Jordan confided, eyes not leaving the monitors that presented a constellation of data points.
+
+"Yes," Alex replied, his voice steady as he considered the implications of their discovery. "And we have to be ready for whatever we find beneath those layers. Whether it's a breakthrough or a Pandora's Box."
+
+Silence settled between them, broken only by the occasional buzz of communications equipment attempting to bridge terrestrial and extraterrestrial intelligences. Tense moments drifted by, laden with the expectant weight of near breakthrough, when a soft chime signaled an incoming transmission -- a rare sound that set every agent on high alert.
+
+Absent was the voice of Washington or Paranormal Military Squad command. Instead, a rhythmic series of pulses and tones filled the air, deliberately patterned, unmistakably non-human.
+
+Sam Rivera adjusted the sensitivity of the decoding equipment, their hands shaking with anticipation as much as focus. "I have it!" they announced, the signal transforming under their expertise into a sequence of visual symbols on the screen before them.
+
+Their shared excitement was palpable, a kinetic force resonating between the team members as they crowded around the display. 
+
+"What does it say?" Taylor Cruz demanded, the urgency in his tone scraping against the newfound wonderment.
+
+Interpreting the alien syntax required not only decoding but intuition and empathy. The words that emerged upon the screen were at once coherent and enigmatic: "*Voyage. Convergence. Peril.*"
+
+The stark simplicity of the message struck them collectively, a chill breeze wafting through their resolve.
+
+Alex stepped forward, piecing together the cryptic communication with a growing sense of obligation. "It’s a call to action," he deduced, "or possibly a summons."
+
+Jordan's gaze met Alex’s, both understanding that this was no longer an investigation or mere extraction of hidden truths. This was humanity's unwitting enlistment into a galactic dialogue that defied boundaries of nation, creed, or protocol.
+
+Sam's eyes were aglow, not with fear, but with the profound acceptance of inevitability that comes with groundbreaking revelation. Moreover, within Taylor's stern exterior churned the seed of reluctant admiration for the unclassified, the uncharted realms they were approaching.
+
+Together, they accepted the pivot in their mission, readjusting their objectives from exploration to engagement, and from isolation to a communal outreach beyond the stars. As dawn's first light threatened the horizon, it became clear that they were no longer merely operatives of a clandestine governmental faction—they were delegates on behalf of Earth, embarking on a voyage orchestrated by destinies unrelated to the mere geopolitics of their world.
+
+Turning to each other, their silhouettes sketched against the coming dawn, the agents recognized the transformation within and amongst them. They were bound by more than duty—they were intricately woven into the fabric of an unfolding cosmic opera, one in which they had been granted an undeniable role. And as they set course for the coordinates that beckoned them like a distant siren's call, it was with a solemn dedication to not only uncover the mysteries ahead but to navigate the convergence, and the peril, as unified emissaries of a world on the cusp of a broader understanding.
+
+\*
+
+Beneath the hum of the fluorescent lights and the vigilance of silent monitors, Alex Mercer stood with his team in the threshold of the base's command center, their faces etched with the fatigue of hours spent unraveling galactic mysteries. Jordan Hayes broke the stillness with a delicate fusion of disbelief and resolve. "The signal..." they began, their tone deliberate, "it’s evolving. It’s not just sending a message—it’s responding to us."
+
+Taylor Cruz leaned over the console, their eyes narrowing with intrigue and a flicker of unease, studying the alternating patterns on the screen. "Responding? Like it’s alive?" Taylor asked, a question that bordered on the edge of wonder and alarm.
+
+Sam Rivera’s gaze was locked onto their interface, a digital orchestra at their fingertips. "It could be some form of advanced AI. Or something else entirely," they contributed, a note of exhilaration betraying the gravity of the situation.
+
+Alex paced before the terminal, absorbing the enormity of their predicament. Their mission—once rooted in the solid ground of military discipline and covert operations—had transcended into an encounter of unprecedented import. "We need to be cautious," he advised, his voice a low rumble of cautious strategy. "If this signal is intelligent, how we interact with it could dictate the outcome of this entire operation."
+
+Jordan met Alex's gaze with a nod, the weight of the responsibility shared and accepted. "We have protocols for first contact, but nothing for... this," Jordan admitted. The room was gripped with tension, each breath seemingly louder than the last.
+
+Then, with a sudden burst that filled the command center, the signal coalesced into a clear and distinct pattern which replicated and expanded, its complexity revealing the hand—or mind—of an intelligent architect.
+
+Taylor's instinct for command surged forth. "Prepare to record and analyze. Whatever it is, we need to understand it—" But their words were cut short as the signal surged, enveloping the room in a brief, blinding cascade of light.
+
+In that pulse of brilliance, a shared revelation coursed through the team. The signal had become a bridge, an extension of unknown consciousness reaching towards them, testing, communicating, searching. 
+
+Alex stepped back from the light, feeling a profound change unravelling within him. The path forward would not be one of confrontation or conquest, but of connection and comprehension.
+
+Jordan turned to Alex and Taylor, seeing in their faces a reflection of the same metamorphosis taking place within themselves—a movement from observers to participants, from agents to ambassadors.
+
+With a collective breath, the team faced the kaleidoscope of lights. The alien signal, once a harbinger of enigma, was now a catalyst for transformation—a symphony of light and sound that echoed the beginnings of a new relationship between humanity and the alien unknown.
+
+And so, with deliberate steps, Alex Mercer led his team into the luminous fray. Science, protocol, and survival instinct harmonized within them, each member poised on the cusp of a new chapter in human history.
+
+They were no longer merely the instruments of Paranormal Military Squad's will—they were the vanguard of humankind’s first definitive leap into the cosmic community. 
+
+With the last echoes of the signal resonating in the control room, they each embraced the sequencing of the transmission, the dance of extraterrestrial light that now wrote itself into their story. The chapter of Operation: Dulce drew to a close, but the narrative of their destiny had only just begun.
+
+## Chapter 6
+
+\*
+
+The cool darkness of the command center at Dulce base was a stark contrast to the brewing storm outside, where the unforgiving New Mexico desert winds whispered of the hidden truths that lay buried deep beneath its surface. Dr. Jordan Hayes sat, their eyes fixed on the readout, the frenetic dance of symbols and numbers reflecting off their determined face. They were on the cusp of an epiphany, teetering between the widely accepted laws of physics and the promise of a new cosmic paradigm.
+
+Alex Mercer watched from across the room, noting the subtle shifts in Jordan’s posture that belied a developing readiness to embrace the unbelievable. “Find something?” Alex’s question, asked with a blend of curiosity and solidarity, bridged the gap between a command and a genuine query among equals.
+
+Jordan's response was slow, measured against the magnitude of their analysis. “This isn’t random static. It’s a pattern - a repeated sequence phasing in and out but distinctly artificial.” Jordan turned away from the screen, locking eyes with Alex. “This could change everything.”
+
+Sam Rivera leaned in, their eyes alight with the fires of revelation and a quenchless thirst for understanding. “A pattern means intention. Could it be a message?”
+
+A figure emerged from the doorway, casting a long shadow into the room - Taylor Cruz. “Intentions can be friendly, or hostile. We shouldn’t forget that,” said Taylor, bringing a dose of their usual pragmatism into the heart of discovery.
+
+Alex acknowledged Taylor’s caution with a nod, understanding the need to keep their feet grounded even as their spirits soared toward the unknown. “Then let’s be the first to find out which it is."
+
+The team gathered around the monitors, the soft tapping of Jordan's keystrokes now punctuated by the occasional crackle of Sam's radio equipment. The sound was almost ritualistic, a prelude to humanity’s potential first, knowing foray into a larger universe.
+
+Jordan’s fingers paused, suspended in mid-air. The signal had evolved, becoming a beacon that somehow felt less alien and more familiar. It was as if the complexities of their message were unfolding into something more accessible, more terrestrial.
+
+A hushed excitement swept through the room. The transformation suggested an awareness on the part of the unknown senders; a finesse that spoke volumes about their capabilities and perhaps their intentions.
+
+With the growing realization that they were engaging with an intelligence far exceeding their previous understanding, the team prepared to reach back across the cosmic divide. Prepared or not, they were no longer bystanders in this galactic narrative. They were active correspondents in an exchange that transcended galaxies and welcomed them into an expansive, possibly fraught, interstellar conversation.
+
+\*
+
+Inside the cavernous central hub of Dulce military base, Dr. Jordan Hayes stood in near-darkness, surrounded by a nest of cables and monitors that buzzed with silent, cryptic life. Jordan's eyes narrowed to focus on the sequences that danced across the screen—patterns that could unravel the cosmic enigma surrounding them.
+
+Alex Mercer approached with his characteristic stride, a signal of reliability in the chaos. "Status report, Dr. Hayes?" he inquired, his voice low, almost blending into the soundscape of beeping consoles and swirling fans.
+
+"We're on the brink of unravelling the signal's origin," Jordan replied, the weight of implications heavy in their tone. "There's intelligence behind it, a thought process alien to our own."
+
+As if summoned by their analysis, Taylor Cruz approached with authority radiating from every pore. "Understand this, we need to know if it's friend or foe. Don't get wrapped up in the existential—our lives may depend on the answers you provide."
+
+Sam Rivera, their hands adroitly adjusting a device to fine-tune the signal, chimed in with optimism undercut by anxious anticipation. "We're deciphering the comm encryption. Soon, we'll have a channel open—not just listening in, but speaking back."
+
+Alex nodded his understanding, his strategic mind processing the tactical implications while grappling with the more profound humanistic impact. "When we do, we'll tread carefully, communicate with purpose," he reassured the team.
+
+The operation had evolved rapidly, from a stealthy incursion into a clandestine labyrinth to an exchange with an extraterrestrial intellect. Their earlier trepidation transformed into determined focus, as they prepared to extend humanity’s hand into the vast unknown.
+
+An alert on one of the monitor stations snapped the team into alarm. The signal had not simply been waiting—it had been calculating. Now, it reached its crescendo, demanding their attention with a provocative urgency.
+
+Jordan's fingers raced over the keyboard, their eyes simultaneously interpreting data and sharing directives. "It’s a linguistic lock, a test of comprehension. We crack this, we establish dialogue."
+
+Taylor's presence was a beacon of steely resolve. "Then let’s solve it. This is what we trained for—the unknown."
+
+Alex and Sam exchanged a look that telegraphed their shared determination—this was not only the mission they had trained for; it was the mission they had been destined for.
+
+Together, the Paranormal Military Squad team leaned into the challenge, their minds honing in on the complex patterns with a singular goal: to unlock the conversation with an intelligence that had already begun to shift the foundations of what they knew, or thought they knew, about the universe.
+
+In a symphony of clicks and murmurs, they worked, knowing they were about to make a giant leap not just for themselves or Paranormal Military Squad, but for all of humanity. As the final pieces fell into place, Dulce's militaristic silence was shattered by the sound of intergalactic contact—by the sound of history being made.
+
+## Chapter 7
+
+In the enclosed space of Dulce’s command center, the air was thick with anticipation, each team member poised to tread the razor's edge between scientific breakthrough and galactic peril. Dr. Jordan Hayes focused intently on the screen, their fingers tapping a staccato rhythm against the keyboard as lines of alien code cascaded down the monitor.
+
+Alex Mercer's steely gaze surveyed the room, stopping on each member of his team. "Thoughts?" he asked, echoing the unspoken tension. His question, while directed at the group, lingered on Jordan—acknowledging their expertise and inviting collaboration rather than dictating orders.
+
+Jordan’s brow furrowed, an indicator of the mental gymnastics being performed. "It's unprecedented," they finally said, their voice a testament to the gravity of the moment. "Behavioral algorithms... if we're right, this code could reveal extraterrestrial thought patterns."
+
+Before anyone could react, Taylor Cruz interjected with the assertiveness of someone accustomed to commandeering the discourse. "Then let’s ensure we’re deciphering it correctly," Taylor stated, their tone suggesting they were still battling to maintain control over an increasingly alien situation.
+
+Sam Rivera hovered near the mainframe, youthful energy barely contained under the surface. "What if it’s more than just a message? What if they’re trying to extend consciousness across the stars?"
+
+The room fell into a contemplative silence, broken only by the hum of electronic equipment and the distant thud of secured doors locking in rhythm. The weight of responsibility rested on each agent's shoulders—a heaviness palpable in the air they shared.
+
+Alex stepped forward, reaching a subtle decision, one dictated by foresight and the humanity nestled at the core of their mission. "We approach with the aim to understand, not to confront," he said, softening his military bearing into a more diplomatic stance.
+
+Jordan nodded, appreciating the leadership that Alex displayed in the face of the unknown, and turned back to the cryptic data. Here, before them all, was a tangible piece of evidence—proof of an extraterrestrial sentience that had outreached the bounds of their expectations.
+
+Taylor took a breath, simultaneously exuding a sense of preparedness and venturing into the unknown alongside their peers. "Then let’s do what Paranormal Military Squad does best—investigate and adapt," Taylor added, finding comfort in the familiar even as they stood on the cusp of an unprecedented alchemy of science and mystery.
+
+The team leaned into their respective roles, driven by the urgency of the assignment and the pull of an insatiable curiosity. Sam offered a grin that belied the tension, a youthfulness that reminded them all of the profound excitement nested within the terror of the unknown.
+
+Quietly but resolutely, they turned back to their instruments, each of them a sentinel on the threshold of a new reality. The once implicit lines of command were now woven into a shared tapestry of hierarchy and camaraderie. As they danced with the unknown, they were beacons of sentient endeavor, casting the light of human consciousness into the vast darkness that called to them.
+
+\*
+
+\*
+
+Dulce Base's cavernous darkness was pierced by the sharp luminescence of monitors, casting an electric glow onto the faces of those who dared to unearth its secrets. Dr. Jordan Hayes stood motionless, eyes glazed in concentration, their mind a nexus where terrestrial science battled with celestial unknowns.
+
+Alex Mercer watched from a slight distance, the weight of command tangible upon his shoulders, though lightened by the shared burden now held amongst them. "We could be on the frontier of a new kind of diplomacy," he mused aloud, giving voice to the moment's gravity.
+
+At those words, Jordan's trance broke. "If that's the case, then these communications," Jordan motioned to the stream of data, "are our olive branch across the cosmos."
+
+Taylor Cruz, who paced with restless energy, halted and faced the team—his stoicism marred by the erratic dance of lights reflected in his eyes. "An olive branch, or an invitation to a battlefield?" he posed, ever the strategist, his words laced with a hint of cynicism.
+
+Sam Rivera, nestled amongst an array of equipment, licked their lips—a mixture of nerves and anticipation palpable. "We're mapping out something incredible here. Whether it's peace or war, we're the cartographers."
+
+Silence enveloped them like the expanse of space itself, each member contemplating the chasms they might bridge—or the abysses into which they might unwittingly descend.
+
+Alex's demeanor assumed a quiet resolve—the profound knowledge that this mission was as much about navigating uncharted philosophical territories as it was about ensuring survival. "Whichever it proves to be, we'll face it. Prepared, unified."
+
+A nod passed between Jordan and Alex, a silent exchange of mutual respect and shared mission. Sam, buoyed by the weighty encounters of the mind and machinery, entered keystrokes with a fervor that seemed to bring them ever closer to the alien mind.
+
+They stood there, the Paranormal Military Squad team, not just as guardians of homeworld secrets or as soldiers of clandestine wars, but as humankind's chosen few at the fulcrum of history—a history that was now unfolding to the rhythm of otherworldly codes.
+
+Each revelation, each parsed symbol, inched them toward the line between the earthly and otherworldly. And as they stood on this precipice of cosmic negotiations, it was clear the ensuing dialogue would not just shape the future of Paranormal Military Squad—it could very well redefine the parameters of human existence.
+
+\*
+
+The hum of advanced computational systems tingling with cryptic transmissions framed the ambiance of Dulce's mainframe chamber. Jordan Hayes, fingers hovering over a console dense with blinking lights, furrowed their brow as sequences of alien data streamed across the screen. 
+
+Alex materialized behind them, his presence a stable beacon amidst the technological whirlwind. "Look for patterns, anomalies. Anything that might resemble a handshake protocol in their communications," he directed, his voice a low thrum, reverberating with cautious optimism.
+
+Jordan cast a glance over their shoulder, acknowledging Alex's contribution with the shared understanding of colleagues who had transcended mere professional acquaintance. "I’m isolating sequences that seem to recur with more intention than static. If these are their ‘handshakes,’ then we might just be making first contact," they remarked, their focus returning to the screen with renewed vigor.
+
+From the other end of the room, where shadows married the artificial light, Sam's voice crackled through the static of nearby speakers, "Don't forget the anomalies we detected earlier. Each one could be a word, a sentence, or even a concept untranslatable to our current understandings."
+
+Resolute, Taylor Cruz stood at Jordan's other side, a stoic figure wrestling with the implications of their mission. "Keep pursuing this line," Taylor instructed, an undercurrent of intensity carried forth in their otherwise composed demeanor. "And remember, this isn't just about making contact; it's about securing knowledge for humanity."
+
+Alex offered a nod that spoke volumes, conveying his understanding of the stakes at play. Here, in this chamber of possibility, the team's actions would determine if humanity stood at the brink of a new age of understanding or the onset of an unprecedented threat.
+
+Every second thrummed with significance as Jordan and Sam worked in tandem, each keystroke a foray into the unknown. Taylor observed with a commander's scrutiny, the gravity of their role sustaining them against the waves of ambiguity breaking against their resolve.
+
+Pivotal moments come rarely in the course of human events but here, amidst the electronic symphony of a stalwart command center, lay the incepting notes of a cosmic overture. The harmony between human and alien, between Paranormal Military Squad and the vast reaches of space, began its first tentative measures, with each member of the team a vital instrument in a celestial ensemble yet to be fully heard.
+
+\*
+
+The crisp air within the mainframe room of Dulce base seemed to hum with unspoken possibilities. Jordan Hayes was the centerpiece of focus, their hands dancing methodically over the console as streams of otherworldly code cascaded down monitors, each flicker a potential key to the cosmic doors they were inching open.
+
+Alex Mercer watched, posture relaxed but eyes sharp. "Remember, this could be our first introduction, maybe even our first impression," he said, mindful of the gravity carried by each action they made henceforth.
+
+A hint of a smile touched Jordan's face, a small acknowledgment of the monumental task at hand. "Understood. I'm balancing the signal's syntax with our algorithms. If we're interpreting this correctly, it could be... well, an invitation."
+
+Into the electric tension of the chamber walked Taylor Cruz, their silhouette a sharp contrast against the cool lighting, radiating a presence that spoke of command and chilly tenacity. "An invitation, or a challenge?” Taylor questioned, the weight of their suspicion casting a different tint on the cascading data.
+
+Sam Rivera, in a corner arrayed with sophisticated equipment, piped up, their voice a buoyant note amidst the tentative atmosphere. "Either way, it's a connection. One that we're uniquely positioned to navigate," they remarked with an air of optimism threading through the uncertainty.
+
+Alex channeled the strengths of his team into the core of their approach, his leadership adapting to the contours of an unprecedented scenario. "Cautious and curious," he reflected aloud, shaping a strategy that balanced their thirst for comprehension with the prudence required in addressing the unknown.
+
+Jordan, hands momentarily at rest, looked up. The signal was more than a sequence of bits and commands—it was a riddle wrapped in the depths of space-time, and they were on the cusp of parsing its meaning.
+
+Taylor, hardly a step away, nodded in silent agreement. The implications of their findings might very well direct the course of human destiny from this point onward.
+
+Finding a tempo among themselves, the Dulce team was a confluence of ambition and acumen, each member intuitive to the beats of discovery. The chamber around them held untold stories, secrets coaxed from the stars, that now, led by Paranormal Military Squad's finest, began to unravel.
+
+The future in those moments was unwritten, a narrative scribed not in the dust of desert confines, but in the potential for interstellar diplomacy and understanding. As they prepared to script humanity's next chapter, the room seemed to pulse with the heartbeat of a story far greater than the sum of its parts.
+
+## Chapter 8
+
+The grit of an earthbound dust storm contrasted sharply with the pristine sterility of the underground command center. Alex Mercer, eyes set with fervent determination, stood over Jordan Hayes, whose fingers danced across the keyboard with rapid purpose. Monitoring the progression of alien code unraveling before them, Mercer spoke with a tempered urgency, "Keep it steady, Jordan. We might be initiating the first true interspecies communication bridge here. It's all about finesse now."
+
+Taylor Cruz, the embodiment of military precision, surveyed the room with a calculated gaze from their vigil beside an array of glimmering screens. "Remember, these could be delicate negotiations -- or coded threats. Stay sharp," Cruz added, their voice cool as polished steel.
+
+Jordan, with a silent nod, recognized the gravity of both stances. Gravitating between scientific acuity and diplomatic caution, they replied, "The sequence is aligning—syncing with our comms. It's looking more and more like direct engagement."
+
+Amid the banks of electronic machinery, the thrumming pulse of an impending interspecies signal exchange, Sam Rivera interjected with a youthful zeal that cut through the weighty atmosphere, "It's not just an exchange. It's a... symphony. It's as if they're teaching us their language through modulation."
+
+A moment of profound silence swept over the team. The isolation of their location, deep within the top-secret labyrinth of Dulce, became suffused with an almost palpable sense of historical significance.
+
+"Then our response needs to be equally symphonic," Alex uttered, contemplating the awe-inspiring transmutation of their task from a simple recovery mission to a full-blown cosmic concerto.
+
+With a renewed sense of wonder tempered by caution, the Paranormal Military Squad team found themselves harmonizing a delicate balance between envoys and interpreters. The long shadow cast by their duty was now illuminated by the brilliant glow of otherworldly dialogue.
+
+In this carefully orchestrated march towards the unknown, each individual's expertise became critical notes in a larger melody. The narrative of human achievement, so often defined by solitary pursuits, now emerged as a collaborative opus, each member of the team a maestro in their right.
+
+The protocols of encounters, the mathematics of languages, and the poetics of connection all fused into a singular moment of convergence. The echo of their efforts reverberated back to them, not through the cavernous base's concrete walls, but from light-years away, in the form of a reply, intangible yet infinitely profound.
+
+\*
+
+Amidst the hum of the supercomputers and the faint static from the scrambled transmissions, Alex Mercer cast a thoughtful glance across the dimly lit room toward where Dr. Jordan Hayes was methodically adjusting the archaic dials of the decryption machine. "Any progress?" he asked, his tone conveying both impatience and the deep-seated respect born from countless shared challenges.
+
+Jordan did not look up, their gaze remained locked on the flickering lights that represented a dialogue suspended between worlds. Their fingers ceased their dance, hovering meditatively over the controls. "We might be on the cusp of a breakthrough," Jordan suggested. "The signal... it's evolved. It's reflexive now, responsive in a way that suggests sentience."
+
+Taylor Cruz's familiar sharp strides approached the two, breaking the rhythm of soft beeps. "Responsive is good, if it means understanding," Taylor said, head tilted as they peered at the encryption data scrolling by. "But remember, comprehension can bring revelation or conflict."
+
+Sam Rivera’s youthful voice permeated the tension, brimming with an excitement edged by the enormity of what they faced. "If it's truly sentient, we're not just cracking a code; we're learning how to converse with an entirely new form of consciousness," they chimed in, the weight of history not lost on the zealous astrotechnician.
+
+Alex nodded, his thoughts alighting on potential strategies for navigating the conversation they were cultivating with the unfathomable. "We need to keep that conversation going, echo its patterns, and speak its language," he resolved, knowing the delicate nature of their work merited every ounce of their collective acumen.
+
+The chamber now was a crucible, forging within it the future narrative of human contact with the unknown. Every signal pulse they sent out was an invitation for understanding, and every echo back a step closer to bridging the cosmic divide. And so, together, they stood - agents in Paranormal Military Squad's clandestine ranks, united by purpose, sculpting humanity’s first sonnets into the void.
+
+\*
+
+#### Knowledge graph updates
+
+- (Jordan Hayes, Interprets, Communications as cosmic diplomacy, Moderate)
+
+- (Taylor Cruz, Questions, Potential aggressiveness of alien intent, Minor)
+
+- (Sam Rivera, Expresses, Optimism about forming a connection, Minor)
+
+- (Alex Mercer, Adopts, Balanced strategy for contact, Moderate)
+
+- (Paranormal Military Squad team, Navigates, Beats of cosmic discovery, Moderate)
+
+- (Paranormal Military Squad team, Prepares, To script humanity's interstellar narrative, Major)
+
+## Chapter 9
+
+The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought.
+
+Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware."
+
+A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention.
+
+"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke."
+
+Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time."
+
+Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel."
+
+Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them.
+
+They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos.
+
+\*
+
+\*
+
+The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought.
+
+Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware."
+
+A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention.
+
+"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke."
+
+Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time."
+
+Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel."
+
+Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them.
+
+They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos.
+
+\*
+
+Alex Mercer's eyes were fixed on the monitors, the reflected light casting an ethereal glow across his stoic face. The room buzzed with tension, a cacophony of low hums and electronic beeps that underscored the historic nature of their actions. He moved to where Dr. Jordan Hayes was immersed in their work, scrutinizing the alien code streaming rapidly down the terminal.
+
+"Find anything that might look like an entry point or a... digital handshake?" Alex asked, his voice steady, betraying none of the tension gripping his chest.
+
+Jordan looked up briefly, their expression weary yet intense, "Potentially. It's as if the code is anticipating our input, modifying itself in real-time. I've never seen anything like it."
+
+From across the room, Taylor Cruz's sharp voice cut through the hum. "Then it's learning or, possibly worse, baiting us. Proceed with extreme caution," they commanded, their firm stance reinforcing the gravity of the situation.
+
+Sam Rivera, surrounded by a cascade of screens and interfaces, added, "It's almost organic in its complexity. Any minute now, and I might have a way in."
+
+A slight nod was Alex's immediate response, his mind racing through the potential scenarios. "Everyone, stay alert. This could be the beginning of something profound." His seasoned eyes never left the unfolding drama on the monitors.
+
+The room fell silent, the air heavy with unspoken questions. Were they mere moments away from unlocking an otherworldly dialogue? Or was it a Pandora's box that, once opened, could not be closed?
+
+Alex moved closer to the main console, his fingers hovering over the command keys. With the precision of a maestro orchestrating a symphony, he communicated silently with Jordan – respectful of their expertise, aware that the next move could alter the course of human history.
+
+Jordan met his gaze, nodding sharply, and refocused on the task. The signal seemed to pulse with sentient curiosity, drawing them further into its intricate web. 
+
+A sudden flurry of alerts and the intensifying glow of monitors heralded that they had bridged a technological chasm. The alien intelligence on the other end was no longer a distant enigma – it was an active participant, responding to their digital overtures with an unknown agenda.
+
+The team's meticulous efforts had led them to a momentous threshold. Beyond lay unprecedented contact – a nexus of curiosity and potential peril. Within the confines of the base, against the backdrop of a silent desert night, the Paranormal Military Squad operatives became mediators of Earth's bid for cosmic relevance, their every action now a gesture in the grand dance of intergalactic relations.
+
+## Chapter 10
+
+The corridors of the Dulce military base, now silent, echoed with a history of whispered conspiracies and furtive movements. But in the command center, a delicate tapestry of light and sound was being woven as the echoes of cosmic dialogue resonated through the high-tech enclave. Dr. Jordan Hayes, now leading the efforts, called out from their workstation, "I’ve isolated the signal's harmonics. It's more than a call; it's a song, an interstellar siren’s call."
+
+Alex Mercer, steady and resilient in the face of the incomprehensible, acknowledged with a quiet nod, "A song that we need to learn—quickly." His eyes, heavy with responsibility, scanned the room, watching his team work tirelessly at the intersection of science and speculation.
+
+Sam Rivera, dulled by fatigue yet driven by unshakeable resolve, manipulated a complex array of audio interfaces. "There's a pattern, a repeating motif. It's structured, intentional," they muttered, their revelation a bridge between the known and the unimaginable.
+
+Taylor Cruz, a figure of central authority, paced the length of the room, their usual unflappable demeanor betraying a rare flicker of apprehension. "We should be wary of the sirens’ call," Taylor interjected, invoking myths of old as a cautionary metaphor. "We don't want to crash upon unseen shores."
+
+Undeterred, Jordan cast a determined glance at the team. "We navigate by starlight now, not by the limited light of our previous understanding." Their voice was a beacon, charting a course through unchartered realities.
+
+Every individual was acutely aware that each moment in that room was a conduit to an epochal shift for civilization. The mysterious signals, once distant and alien, had coalesced into complex and harmonious oscillations—beacons of an extraterrestrial intellect inviting Earth to join in a cosmic consortium.
+
+Silently, Alex approached the mainframe, his trained fingers aligning with the console’s mechanisms. The room watched in collective breathlessness as he set the frequency in motion, an introductory phrase to an otherworldly melody—a symphony that could bind worlds or spell devastation for all they knew.
+
+In the control room of Dulce, amongst whispered legends and the quiet hum of machines, humanity's ambassadors now stood, stretching their hands into the void, reaching for the hand that would either pull them into the light of new stars or into the maw of darkness between them.
+
+\*
+
+Underground, the Dulce facility's command center was awash with frenetic energy, a stark juxtaposition against the silent, decrepit corridors that enveloped them. The air hummed with anticipation as Dr. Jordan Hayes and Alex Mercer hunched over a console. The sterile light from the monitors cast an otherworldly glow upon their faces, now reflecting a mosaic of alien characters rapidly translating across the screen.
+
+"The patterns are evolving," Jordan murmured, concentration etched into their every feature. "It’s as if our attempts to decrypt have accelerated its learning. It’s adapting to us."
+
+Alex, who stood steadfast behind Jordan, felt a tinge of uncharted fear quickly quelled by the fire of discovery raging within him. "Keep it up," he urged. "But whatever this is becoming, we need to ensure it remains within our control."
+
+Taylor Cruz interjected, their voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.
+
+"It's like it's learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives ‘talking to strangers’ a whole new meaning."
+
+Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."
+
+Together, they stood on the edge of the unknown, forging humanity’s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.
+
+The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation of their investigative strategies. The air turned heavy with the scent of electricity and ambition as they closed in on a pivotal response.
+
+As the signal’s intelligence—whether artificial or biological—grew more profound, so too did the realization that their mission had morphed from passive observation to active engagement. There was no turning back now. Each agent embraced their part in the delicate dance of an interstellar exchange that could change everything they thought they knew about life, intelligence, and the dark void beyond Earth's atmosphere.
+
+\*
+
+The underground halls of Dulce Base, usually buzzing with covert operations, now thrummed with a different kind of energy, an electric mix of fear and fascination. At the heart of the base, in a room shielded from the world’s eyes, Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera huddled around a bank of monitors. Each screen flickered erratically with the alien script that had become the center of their lives—and perhaps the pivot on which humanity’s future would turn.
+
+Jordan's eyes never wavered from the displays, their expression was one of rapt concentration, interspersed with flashes of revelation. "We're conversing with the stars," they whispered, almost to themselves. The words hung in the air, a testament to the awe-inspiring strangeness of the situation.
+
+"The language is morphing; changing its structure with every exchange we have," Sam chimed in, enthusiasm tinged with the solemnity of the occasion. "It's like witnessing the birth of a new form of dialogue—one that spans galaxies."
+
+Taylor, despite the situation's precariousness, maintained an appearance of ironclad composure. "Keep the communication stream secured and monitored. We don't know what we're dealing with yet," they reminded the team, a bastion of protocol amidst uncertainty.
+
+Alex watched his team expand the parameters of human achievement; their work here would possibly define an era. "This is untrodden territory," he acknowledged, "and in every word we script, in every response we decode, we're drawing a map that others will follow."
+
+Jordan turned to Alex, a nod acknowledging the shared responsibility of this moment. They had embarked on a new voyage, an odyssey not of the body, but of the intellect and spirit. No longer explorers of the Earthly realm, they had been promoted by circumstance to ambassadors of humanity in a silent and boundless ocean.
+
+A sudden pulse of energy from the monitors signaled a breakthrough; the language had not only adapted but it seemed to resonate, to harmonize with their attempts at making contact. The alien script now sprawled across the screens didn't just ask to be understood—it invited interpretation, collaboration, maybe even companionship across the cold distances of space.
+
+As they stood before the precipice of first contact, Paranormal Military Squad's finest became the architects of a symphony meant to echo through the cosmos. But more than architects, they were the first to play the notes of this cosmic composition, daring to believe that on the other end, someone—or something—might be listening, ready to join the chorus.
+
+\*
+
+The underground command center of Dulce Base, once pulsing with clandestine operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera.
+
+Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt."
+
+The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here."
+
+Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood."
+
+Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance.
+
+The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion.
+
+A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption.
+
+The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history.
+
+## Chapter 11
+
+The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought.
+
+\*
+
+The thrum of the colossal machinery vibrated through the subterranean facility as Alex Mercer stood amidst the whispers of technology, each carrying voices from worlds apart. He watched as Sam Rivera adjusted a complex array of cosmic translators, their expression a mixture of anticipation and awe.
+
+"Are we ready, Mercer?" Taylor Cruz asked, the soft glow of the command center consoles reflecting upon their stern face.
+
+Alex turned towards Taylor, his eyes holding a depth that betrayed the enormity of the threshold they were about to cross. "This is it," he said. "Initiate the protocol. It's time we answer the cosmos."
+
+Jordan Hayes, stationed at the mainframe, typed rhythmically, a blue hue painting their focused features. The eerie silence that had settled over the team was interrupted by a visceral sound—humankind's response to the alien dialogue, now streaming into the abyss.
+
+The control room, once a fortress of solitude, erupted into an oasis of life. Lights flickered in tandem, echoing the symphony of interstellar communication. They stood together at the edge of discovery, facing the symmetry and discord of a universe unknown.
+
+"If we're right, we've just become Earth's first emissaries to a celestial congress we're only beginning to comprehend," Jordan's voice was somber, resonating with a mix of trepidation and honor. 
+
+The room filled with the resonance of human and alien minds converging, creating a new narrative within the fathomless expanse of existence. Paranormal Military Squad, once protectors of Earth's clandestine secrets, had now become the tether linking humanity to the cosmic fold.
+
+\*
+
+The underground command center of Dulce Base, once pulsing with covert operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera.
+
+Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt."
+
+The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here."
+
+Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood."
+
+Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance.
+
+The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion.
+
+A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption.
+
+The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history.
+
+## Chapter 12
+
+The underground facility of Dulce Base, once shrouded in silence and operational secrecy, now hummed with an energy that cradled the promise of cosmic revelation. Alex Mercer stood pensively by the central terminal, flanked by Dr. Jordan Hayes, Taylor Cruz, and Sam Rivera, each poised at the edge of a history-defining moment.
+
+Jordan's fingers ghosted across the console, tracing patterns of otherworldly origin. "The signal’s architecture is becoming more complex, resembling aspects of human cognition—recognition, learning, even... empathy?" they postulated with furrowed concern.
+
+Alex turned his gaze upon Jordan, his voice quiet but resolute, "Empathy could bridge galaxies. Let's harness this connection and proceed with cautious optimism."
+
+Taylor, ever the sober sentinel, projected a more pragmatic standpoint. "Empathy or not, we are duty-bound to assess the risk to humanity. Every new discovery warrants a measured response."
+
+The static hiss of communications equipment filled the air, its purpose now transformed into a dialogue with an intelligence beyond the stars. It was Sam, wide-eyed amid the myriad lights and switches, who broke the silence, "We have provisional confirmation of the signal’s intent—initiation. We’re being brought into a broader spectrum of cognizance."
+
+The chamber lay still for a heartbeat, the Paranormal Military Squad agents steeped in contemplation of the path unfurling before them—a path paved with possibilities of diplomacy or disruption, each step a venture further into the cosmic unknown.
+
+Alex stepped closer to the viewing monitors, each depicting alien symbols seemingly reaching out from the void. "Initiate the broadcast," he spoke with quiet command. "Our response will mark humanity’s readiness to partake in the wider conversation of conscious beings."
+
+Amidst the crackling air of expectation, the team wordlessly returned to their stations. They had transcended their roles as protectors of Earth's clandestine lore to become the harbingers of an interstellar parley that could change the existential course of life on their pale blue dot.
+
+The deep hum of the terminal emitted a signal—a testament to the uncanny reality that Earth was now actively partaking in an exchange not bound by gravity nor the limits of the solar wind.
+
+Here, in the depths of Dulce, a message from humanity woven from understanding and uncertainty was cast into the firmament, an epitheg of their desire to join the universal dialogue and discover their place among the constellations.
+
+\*
+
+The somber depths of the Dulce Base command center stood in stark counterpoint to the animated flurry of activity around the central comms array. Alex Mercer's silhouette loomed behind Dr. Jordan Hayes, who sat with a posture indicating laser focus on the decryption process. A quiet murmur of digital soundscape filled the space, subtly heightened by the anticipation of contact with an intelligence beyond the Earth.
+
+Jordan's voice was steady, betraying none of the extraordinary nature of their work, "Looking through the signal's pattern, it's evident we’re dealing with a form of intelligence—calculating, mirroring, possibly even understanding."
+
+Alex's reflection bounced off the darkened screens, his head nodding in silent affirmation. "We’re walking a delicate line. Our response should be thoughtful, measured. We’re ambassadors, not merely explorers."
+
+Taylor Cruz approached, arms folded, their words slicing through the din of careful keystrokes and soft whirrs, "If there’s even the slightest chance it understands, we can’t afford missteps. The language of the stars might be more absolute than ours."
+
+From another terminal, Sam Rivera brought youthful vigor to the conversation, "There’s rhythm in these patterns. If this is their way of reaching out, our reply should encapsulate all that we are—all that humanity stands for."
+
+Looking around at his team, Alex saw resolve etched on every face. The chamber, usually somber and echoing with the quiet steps of covert agents, now felt alive with the heartbeat of discovery. They were not just professionals operating in the gloom; they were a collective standing at the helm of a momentous journey.
+
+"Let’s begin," he said, returned by the resolve in his voice. "Every second counts." With that, they pressed forward, setting in motion a reply to a conversation billions of years in the making.
+
+The dance with an unseen partner commenced, each pulse they sent out a step taken with caution and hope. And as those digital pulses journeyed through the black sea of infinity, Earth, for perhaps the first time, joined a pan-galactic dialogue that whispered secrets of the cosmos—secrets that, until now, had been lost in the silent vastness of space.
+
+\*
+
+As the team stood in the centralized nerve center of Dulce's underground fortress, the solemn atmosphere was reverent, overseeing systems that engaged with an intelligence from the void. Alex's stance was contemplative as he gazed at Jordan Hayes, who presided over the console, the tension of the moment reaching a tactile fervor. Each rhythmic tap of Hayes's fingers on the keys was a foray into uncharted symphonies of contact.
+
+Observing Hayes unravel the dense alien encryption, Alex spoke, a diplomatic tenor underpinning his words, "Keep focused on the syntax, dissect its nuances. We're not just decoding signals; we're translating intentions."
+
+Without diverting from their task, Jordan acknowledged the insight. "Indeed, if their understanding of us is as deep as we hope, we're paving the way for dialogue far beyond our current realm."
+
+Taylor Cruz, near the rear of the room, provided a steady oversight. "As horizonless as our prospects may seem," Taylor intoned, "remain diligent. Complacency before alien cognition could spell catastrophe."
+
+Sam's youthful voice resonated with optimism, "Imagine—forming a rapport with a consciousness separate from our reality; we're drafting the bridge to stars alive with minds!"
+
+The sentiment hung for a moment before Alex gathered his conviction. "Dialogue is our vessel. We are not just agents of enigma; we are the threads that may weave a new cosmic relationship." His words seemed to reflect off the walls, reaching beyond the room's confines, a quiet yet resilient vow.
+
+Their task was titanic, stepping stones laid delicately into new territories of existence. The signal, once an esoteric strand in the echo of the universe, beckoned now with a clarity rocketing the complexity of thoughts from a distant order.
+
+Action by action, the Paranormal Military Squad team bridged the vast interstellar distances, their expertise and empathy casting a beacon of unity into frontiers of intelligence and knowledge. Their work, a partnership struck with an unseen cosmic congregation, each pulse sent and received a line in Earth's novitiate envoi to the cosmic shores.
+
+\*
+
+Under the stark, unforgiving lights of Dulce Base's underground command center, tension buzzed harder than the banks of supercomputers that lined the walls. Agent Alex Mercer leaned over the shoulder of Jordan Hayes, whose eyes were locked onto the display screen, where an incomprehensible series of alien symbols streamed past incessantly.
+
+“Any progress on the decryption?” Alex's voice was steady, a controlled presence necessary in the gravity of their undertaking. 
+
+Jordan tapped a key, pausing the flow of code, and leaned back with a deep sigh. "We've broken through another subset of the cipher. It's revealing... well, indications of a complex society, not unlike our own." His eyes met Alex's with an unspoken question that hung heavily between them—were they truly prepared for what they might find?
+
+Taylor Cruz strode into the room, a tightly coiled spring of ambition and authority, and peered at the screen. "Understand their society, and we may predict behavior. Remain expedient—we don't know how much time we have before the situation shifts." There was an edge of stark realism to Taylor's words, the underlying message clear: every revelation bore its own set of risks.
+
+Alex nodded thoughtfully, recognizing the validity of Cruz's caution. Turning to Sam, who was tinkering with a device that buzzed quietly on the table, he asked, “Sam, can your contraption get us any further?”
+
+Sam looked up with a smirk, a twinkle of mischief in their eye. “It’s not just any contraption, it’s potentially a direct line to their thoughts. Give me a moment more, and I'll have something for you.”
+
+The air ticked with electronic beeps and the rustling sound of the Paranormal Military Squad team at work. They were so close to peering into the intelligence of an alien race—a reality on the brink of dramatically expanding their understanding of the universe.
+
+The machinery whirred in response to Sam’s precise touches, and suddenly, the room filled with a low hum—something had changed, a signal had been successfully sent. The team held their breath as they listened. The sound that filled the room was unmistakable: a response, an alien voice filtered through the static of space and time.
+
+Alex exchanged a look of quiet triumph with Jordan. The breakthrough was monumental; they were no longer casting messages into the void but engaged in a dialogue—an exchange that marked the beginning of Operation: Dulce’s true unfolding. This was it, the first steps into an interstellar odyssey that demanded every ounce of their courage and wit.
+
+## Chapter 13
+
+Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive."
+
+A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic."
+
+Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. 
+
+Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field.
+
+The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._
+
+As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come. 
+
+\*
+
+The gritty, wind-tossed surface of New Mexico, just above the cavernous domain of Dulce Base, offered no shelter from the burgeoning storm—the scouring sands an earthly reminder of chaos theories in motion. Far beneath, a similar maelstrom brewed within the confines of the command center, as Paranormal Military Squad's handpicked squad stood poised for potential enormities of contact.
+
+Ruffling through printed transmission logs, Jordan Hayes dialed the focus of their analytical prowess onto the emerging pattern of signals crisscrossing between Earth and the unfathomable. "Our responses so far have echoed their complexity, but the real divergence is yet to come," Jordan remarked stoically, the calm belying the mounting surge of adrenaline for the revelation ahead.
+
+Alex Mercer's figure, a silhouette sharpened by the purpose, loomed at the periphery of the monitors' sickly glow. "Indeed," he assented, "The echoes are the easy part. It will be the introduction of our own, human variable that truly begins our dialogue."
+
+Taylor Cruz, windowless command center notwithstanding, appeared as though they could feel the tempest above. Their eyes never left the monitors as they unspooled their hard wisdom. "For all our advances, we find ourselves deciphering the swings and nuances of an interstellar pendulum. Predict its arc, and we may preempt the gravity of its message."
+
+Amidst a chorus of bleeps and static, Sam Rivera's tech-clad hands moved rhythmically, their spirited approach to unruly streams of data bordering an intimate dance with entropy. "Entropy that leads to discovery," Sam mused, responding to Taylor's metaphor. "Each step into the unknown is a step away from precedent."
+
+Alex, drawing near Jordan, spoke again, his voice now a thread woven through the very fabric of their operations. "Let's be the cartographers of this new territory. Our initial shades of understanding could color the cosmos for generations to come."
+
+Their gazes fell upon a screen as the latest transmission painted its digital blooms of alien script across the black. This time, the pattern wavered in an almost imperceptible fashion, a modification that whispered of active, alien thought awaiting their next move. A hush enveloped the Paranormal Military Squad ensemble, the gravity of the pathogen undeniable. They were about to issue a reply, one poised to reshape the very concept of humanity's outreach into the cosmos.
+
+The New Mexico desert's secrets were infamous, its storms a mere prelude to the revelations that the team—united in purpose—would unleash upon the world. The howling winds outside found their counterpart in the newfound resolve within, as Dulce's stalwart guardians readied themselves to send forth humanity's retort to the echoes from beyond.
+
+\*
+
+The cavernous control room, deeply entrenched beneath the desolate New Mexico terrain, held the Paranormal Military Squad team in intense focus; an island of calm amid the storm of cosmic dialectics. Dr. Jordan Hayes worked methodically, every keystroke an intricate step in their tenuous cosmic ballet. Suddenly, they paused, a signal pattern resonating from the screen. "This is new; it's...inviting. It’s as if the signal is not just calling to us but weaving its intelligence through ours."
+
+Alex Mercer scrutinized the shift in data. "A confluence of minds, then. If we're to meet them halfway, Jordan, our reply must be both innovative and discerning," he proposed, a glimmer of profound curiosity behind his authoritative demeanor.
+
+Taylor Cruz, whose sharp eyes missed nothing, nodded from beside a secondary panel. "Innovative, yes, but also defensive. This interaction is a razor’s edge, and we cannot afford to bleed before the unknown," Taylor reminded them, the metaphor a stark warning of potential dangers.
+
+Against the backdrop of their conversation, Sam Rivera’s youthful optimism cut through the tension. "If they’re weaving through our intellect, then we've achieved something beyond first contact—we're at the genesis of interstellar symbiosis," they posited with a mix of reverence and excitement.
+
+Alex returned Sam’s smile with his own, tempered and faint, as he turned back to the task at hand. The magnitude of their mission extended beyond the fabric of the universe, an exploration into the threads that connected sentient beings across the vast expanse. “Let’s reply with our own woven tapestry of thought—delicate, but deliberate.”
+
+With renewed determination, the room came alive with an undercurrent of anticipation, its occupants charged with the potential of forging an alliance with the cosmos. Paranormal Military Squad's finest were no longer merely soldiers and scientists; they had become pioneers on the vanguard of humanity’s greatest odyssey.
+
+The New Mexican sands above, impassive to the change brewing underneath, stood as silent sentinels as Earth's emissaries crafted their response. A response that, composed with care and imbued with humanity's essence, reached into the void, connecting with an otherworldly intelligence that awaited their harmony in the cosmic conversation.
+
+## Chapter 14
+
+The command center of Dulce Base lay shrouded in shadows that seemed to claw at the edges of the dimly lit array of screens and consoles. Alex Mercer, focused and unwavering, watched as Dr. Jordan Hayes parsed the latest string of alien signals—a symphony of otherworldly communications that threatened to either enlighten or confound.
+
+"We’re encountering a paradigm shift with every transmission," Jordan Hayes murmured, the pulsing glow of the monitor painting their features with an almost spectral hue. "This signal... it’s evolving, becoming denser, more sophisticated. As if it's growing alongside us—tandem evolution."
+
+The air was electric, charged with the raw potential of uncharted discovery and laden with the gravity of existential risk. Taylor Cruz, who always seemed here to mold such gravity into actionable strategies, stepped forward. "We must contain this evolution within parameters we can manage. We cannot be bystanders to an uncontrolled ascent of intelligence."
+
+Sam Rivera, the youngest of the cohort, worked feverishly at their station. "It's not just intelligence—these signals have rhythm, a kind of music suggesting not just evolution, but a dance! We're being invited to partake in the cosmos's ballet!" they exclaimed, a touch of youthful exuberance breaking through the solemnity.
+
+Alex turned, facing his team, the stoic mask of command tempered by the perceptible flicker of awe in his gaze. "Let this dance then be our dialogue. We will match their steps with prudent but daring measures—our humanity as our guide."
+
+In the ensuing hours, the Paranormal Military Squad team forged a rhythm of their own, their collective expertise a beacon piercing through the fog of the unknown. The signal, increasingly intricate and seemingly conscious, now demanded not just observation but participation, an interstellar pas de deux that hummed with the promise and peril of first contact.
+
+Before them, the communications interface flickered to life with a received transmission—a resonant hum that seemed to vibrate through the very foundations of the base. They had successfully established a back-and-forth with whatever intelligence lay hidden among the stars. Every subsequent note they struck within the cosmic ether would come to define humanity's place within the galactic community—heralds of Earth's grand entrance into a universe far less silent than once perceived. 
+
+\*
+
+In the concrete belly of Dulce Base, dimly lit by the jagged dance of fluorescent lights above, Sam Rivera perched on the edge of their seat, their eager fingers fluttering across an ancient keyboard. The stark, cold room—reminiscent of a time when covert operations and unspoken dread ruled supreme—now housed a peculiar blend of old-world machinery and sleek, modern interfaces.
+
+Alex Mercer, standing steadfast like a bridge between the enigmatic past and the unfathomable present, watched on. In his eyes flashed the foreboding excitement of change. "Sam," he started, his voice steadfast, "the patterns in these signals, what do they tell us about the nature of our... guest?"
+
+Sam's eyes glimmered with something akin to thrill—or was it trepidation? "It's like we're mirroring each other, evolving together through this.. dialogue. Like it knows us, understands us, and it's… learning."
+
+Jordan Hayes, preoccupied at a nearby console, chimed in without lifting their gaze. "It's a dialogue that transcends mere words, Alex. We're being woven into a narrative far grander than the sum of our known sciences." 
+
+Taylor Cruz, arms crossed, wore the heavy mantle of their skepticism comfortably. "Keep theorizing," they interjected crisply, "but remember the grounding reality of what we are part of here. This contact is a blade that cuts both ways."
+
+In this cavern of history, voices both human and inhuman whispered secrets to those brave enough to listen. Each member present understood the gravity that pulled at their feet; no longer were they mere mortals shackled to their terrestrial plane. The digital pings and encrypted calls resonated with an implication of a cosmic agenda that would not be ignored.
+
+Jordan's fingers paused, hovering in hesitation. What ripple might the next keystroke send through the fabric of known existence? It was a step into the ballet of the infinite, where the Paranormal Military Squad team played their part in the waltz of wonders with an audience of stars.
+
+\*
+
+## Chapter 15
+
+In the clandestine hush of Dulce Base's subterranean command center, the Paranormal Military Squad team had become a crucible for interstellar communication. Dr. Jordan Hayes' gaze lingered on the screen as they navigated through the convolution of alien code. Each character held the potential to unravel a new dimension of contact, and with Sam Rivera's keen interjection, they were crafting humanity's inaugural cosmological discourse.
+
+Alex Mercer peered over Jordan's shoulder, calculating the implications of every visual nuance that cascaded across the monitor. "Look for consistency—any repeating motifs could signal a willingness to engage. We're drafting history with each exchange," he remarked, aware of the delicate balance between forging a bond and exposing vulnerabilities.
+
+Taylor Cruz, stoic and enigmatic, observed the interplay from the threshold, a silhouette against the machinery's luminescence. "Remember, while we seek common ground, the foundation we stand upon remains Terra firma. Caution must temper our curiosity," they stated, their voice an anchor amidst the current of excitement.
+
+The command center buzzed with energy, rivaled only by the tempest overhead that concealed their operation. Sam, with swift dexterity, navigated the communications relay. "Their signals resonate almost musically. It's as if they're composing a symphony, and we've been handed the baton to conduct the next movement," they offered, imbuing the scenario with a blend of scientific adventurism and poetic license.
+
+Amidst the whirring servers and the occasional flicker of emergency lighting, the essence of their mission transcended mere reconnaissance. They were humanity's elected envoys at the brink of a celestial alliance—or confrontation—with an audience as vast as the universe itself.
+
+Alex stepped back, his profile etched by the chamber's artificial day. "Then let's ensure our contribution to this symphony harmonizes with theirs. It's time for humanity's voice to rise and be counted among the cosmic ensemble."
+
+Under his directive, the Paranormal Military Squad team initiated their calculated response, weaving thoughts and theories into a digital overture aimed at the heart of alien intellect. As the digital stream punctured the endless night, each member of this clandestine group was acutely aware of the irrevocable step they undertook—bringing Earth into the pantheon of galactic entities designed to converse among the stars.
+
+\*
+
+Clusters of high-tech equipment bathed the Dulce underground command center in an eerie blue light. Sam Rivera's fingers flew across the keyboard, navigating an elaborate network of alien patterns. The very air seemed to pulse with the ebb and flow of cryptic communications reaching across the stars. "I've got something!" Sam's announcement tore through the focus in the room, drawing every pair of eyes to the torrent of symbols unraveling on the screen.
+
+With the pacing of a seasoned officer gauging the moment before action, Alex Mercer approached, his calm demeanor belying an acute awareness of the precipice on which they now stood. "Define 'something," Alex prompted, reinforcing the need for clarity amidst the extraordinary.
+
+"It's repeating—a sequence that’s evolved with each interaction, almost as if it's... singing," Sam theorized, the awe in their voice reflecting the potential magnitude of their discovery.
+
+Jordan Hayes interjected from across the console, their eyes not leaving the display as they absorbed the new data. "A cosmic vocalization, then," they mused, intrigued. "A singularity in the signal that might represent a point of reference for both parties."
+
+Taylor Cruz, hands clasped behind their back, regarded the unfolding scene, their own calculations etching lines of concern onto their stern visage. "Or a beacon—a homing tune, calling out to something we might not be ready to greet," Taylor offered, voicing the group's unspoken apprehension.
+
+Alex's eyes locked on the screen, taking in the scope of what they were attempting to interpret. Drawing a deep breath, Alex gave a slight nod. "If this is their song, then let us respond with ours. We've come this far by mirroring their signals, now let's engage in an interstellar duet, and see where the music leads us."
+
+With the expectation of the significant achieving a crescendo, the members of Paranormal Military Squad huddled over their equipment—sages at the threshold of a potentially world-altering communion. The strange harmonies that reverberated through the command center suggested that their interlocutors were poised, waiting, perhaps even eager, for Earth's chorus to join the symphony.
+
+As the team initiated their reply, weaving humanity's own intricate melody into the vast cosmic dialogue, they each felt a profound change within—an evolution of purpose. They were not just messengers or investigators; they had become co-composers in a galactic orchestra, with the universe itself as their witness and concert hall.
+
+With the exchange of harmonious signals crawling through the vacuum of space, the Paranormal Military Squad operatives found themselves part of a bridging of minds—a realization that out there, among the vast arrays of stars and planets, harmony was the true universal language.
+
+\*
+
+The dim glow of monitors cast an otherworldly ambiance upon Dulce Base's command center, where Paranormal Military Squad's chosen stood huddled over their instruments, suspended at history's threshold. Codes—alien in origin and nature—were being deciphered by Dr. Jordan Hayes, whose countenance bore the marks of deep concentration.
+
+Alex Mercer, the bedrock upon which their team's resolve was founded, leaned in with an eagerness tempered by his chain of command. "Jordan, we've invested our expertise into comprehending their patterns, but now we must also endeavor to understand their intent," he urged, his voice bearing the gravitas of their mission's potential consequences.
+
+At another console, Sam Rivera's youth did not betray their crucial role in the operation. With eyes alight, they mirrored the rapid computing before them. "There's emotion here—complex, profound even. This isn't just the output of a cold machine; it's...sentience," Sam whispered, nearly drowned by the mechanical chorus around them.
+
+Jordan, without shifting focus from their work, replied, "It's a sentience that—should we succeed here—ushers us into a new era of existence. The cadence of these signals," they tapped the screen with a flourish, "could well be the heartbeat of this new dawn."
+
+Taylor Cruz paused beside Mercer, their expression unreadable beneath the sterile light. "And as it beats, we must gauge whether its rhythm bodes well for us, or spells our missteps. Courage must not blind us to the hazards intrinsic to such contact," Taylor cautioned, the sentinel within them ever alert.
+
+Alex nodded, a gesture that carried the weight of responsibility and a silent command: proceed, but with circumspection. They were not merely decoding a message; they were interpreting a dialogue across the celestial divide.
+
+The room fell into a rhythm akin to a well-conducted ensemble. Each member's expertise proved a critical note in the unfolding symphony. Their actions were now more than mere research or defense; they were the tentative overtures of humankind reaching out to grasp the vast unknown.
+
+Textures of sound meshed with the light from countless computations, the palpable anticipation of the agents at the edge of discovery cresting with an awareness that their work would reshape future chronicles. And when the response finally came—a signal piercing the deafening silence of uncertainty—all within Dulce's confines understood: the dawn of an interstellar continuum had just begun to break.
+
+\*
+
+In the sterile hum and flickering lights of Dulce Base's command center, the Paranormal Military Squad team stood as humanity's vanguard, verging on the brim of an intergalactic abyss. Dr. Jordan Hayes, analytical edges sharp, deciphered extraterrestrial patterns that bled across screens in enigmatic cascades—a daunting mosaic of potential threats and untapped wisdom.
+
+Agent Alex Mercer, the embodiment of focus and a steadfast nerve, observed the unfolding digital drama with the gravitas due a historic first contact. "Let the data weave its narrative, Jordan," he instructed, a moderate undertone of exhilaration within his command. "It's encoding more than information—it's outlining civilization."
+
+Jordan absorbed the directive, their gaze unflinching from the screens, feeling the weight of their next move. "The nuances here are extraordinary," they acknowledged. "It paints a picture of a culture steeped in complexities we're only starting to fathom.”
+
+Taylor Cruz, stoicism personified yet not immune to the situation's gravity, chimed in. "Understand it, but guard against it," they cautioned, bringing a sober prudence to the room. "This culture, however advanced, remains an unknown quantity—an ocean of wonders and darkness with uncertain tides."
+
+Sam Rivera, a visual contrast with wide eyes and restless hands, represented the other side of the room — intrigue and optimism against the drawn swords of precaution. “Think of it,” they proposed, voice bouncing with a rebellious upbeat timbre, “as the first act of a play written in constellations. We're setting the stage for a galactic narrative.”
+
+Each team member, in their way, was both actor and scribe in this moment of tense pageantry. Heavy with the presence of risk, the command center had become not just a room of computers and glass panels but a theater for performing the elaborate choreography of contact.
+
+Bound by resolve and curiosity, they proceeded, each data entry a trembling step onto the cosmic stage. And like all cautious pioneers edging into fertile but unnavigated lands, they understood: as they mapped the heavens, they were simultaneously mapping the furthest reaches of their own existential horizons.
+
diff --git a/graphrag/tests/fixtures/min-csv/settings.yml b/graphrag/tests/fixtures/min-csv/settings.yml
new file mode 100644
index 0000000000000000000000000000000000000000..57a00c2751712d95995ae86b2958882ccc99161d
--- /dev/null
+++ b/graphrag/tests/fixtures/min-csv/settings.yml
@@ -0,0 +1,20 @@
+input:
+  file_type: csv
+
+embeddings:
+  vector_store:
+    type: "lancedb"
+    uri_db: "./tests/fixtures/min-csv/lancedb"
+    store_in_table: True
+
+    entity_name_description:
+      title_column: "name"
+      # id_column: "id"
+      # overwrite: true
+    # entity_name: ...
+    # relationship_description: ...
+    # community_report_full_content: ...
+    # community_report_summary: ...
+    # community_report_title: ...
+    # document_raw_content: ...
+    # text_unit_text: ...
diff --git a/graphrag/tests/fixtures/text/config.json b/graphrag/tests/fixtures/text/config.json
new file mode 100644
index 0000000000000000000000000000000000000000..809ca0f624fd09ebf8a0e8491b0e73ed2c315f0b
--- /dev/null
+++ b/graphrag/tests/fixtures/text/config.json
@@ -0,0 +1,182 @@
+{
+    "input_path": "./tests/fixtures/text",
+    "input_file_type": "text",
+    "workflow_config": {
+        "create_base_text_units": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "subworkflows": 11,
+            "max_runtime": 10
+        },
+        "create_base_extracted_entities": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "subworkflows": 2,
+            "max_runtime": 300
+        },
+        "create_final_covariates": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "nan_allowed_columns": [
+                "type",
+                "description",
+                "subject_type",
+                "object_id",
+                "object_type",
+                "status",
+                "start_date",
+                "end_date",
+                "source_text"
+            ],
+            "subworkflows": 6,
+            "max_runtime": 300
+        },
+        "create_summarized_entities": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "subworkflows": 1,
+            "max_runtime": 300
+        },
+        "join_text_units_to_covariate_ids": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "subworkflows": 2,
+            "max_runtime": 10
+        },
+        "create_base_entity_graph": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "subworkflows": 2,
+            "max_runtime": 10
+        },
+        "create_final_entities": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "nan_allowed_columns": [
+                "type",
+                "description",
+                "graph_embedding"
+            ],
+            "subworkflows": 11,
+            "max_runtime": 300
+        },
+        "create_final_relationships": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "subworkflows": 8,
+            "max_runtime": 100
+        },
+        "create_final_nodes": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "nan_allowed_columns": [
+                "entity_type",
+                "description",
+                "graph_embedding",
+                "community",
+                "level"
+            ],
+            "subworkflows": 10,
+            "max_runtime": 10
+        },
+        "create_final_communities": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "subworkflows": 14,
+            "max_runtime": 10
+        },
+        "create_final_community_reports": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "nan_allowed_columns": [
+                "community_id",
+                "title",
+                "summary",
+                "full_content",
+                "full_content_json",
+                "rank",
+                "rank_explanation",
+                "findings"
+            ],
+            "subworkflows": 7,
+            "max_runtime": 300
+        },
+        "join_text_units_to_entity_ids": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "subworkflows": 3,
+            "max_runtime": 10
+        },
+        "join_text_units_to_relationship_ids": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "subworkflows": 4,
+            "max_runtime": 10
+        },
+        "create_final_text_units": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "nan_allowed_columns": [
+                "relationship_ids",
+                "entity_ids"
+            ],
+            "subworkflows": 7,
+            "max_runtime": 100
+        },
+        "create_base_documents": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "subworkflows": 8,
+            "max_runtime": 10
+        },
+        "create_final_documents": {
+            "row_range": [
+                1,
+                2000
+            ],
+            "subworkflows": 1,
+            "max_runtime": 100
+        }
+    },
+    "query_config": [
+        {
+            "query": "Who is Agent Alex Mercer and what are his goals?",
+            "method": "local"
+        },
+        {
+            "query": "What is the major conflict in this story and who are the protagonist and antagonist?",
+            "method": "global"
+        }
+    ],
+    "slow": false
+}
\ No newline at end of file
diff --git a/graphrag/tests/fixtures/text/input/ABOUT.md b/graphrag/tests/fixtures/text/input/ABOUT.md
new file mode 100644
index 0000000000000000000000000000000000000000..42c316108ec0893e6b1df44f8f42e5a50a8edb43
--- /dev/null
+++ b/graphrag/tests/fixtures/text/input/ABOUT.md
@@ -0,0 +1,3 @@
+# About
+
+This document (Operation Dulce) in an AI-generated science fiction novella, included here for the purposes of integration testing.
\ No newline at end of file
diff --git a/graphrag/tests/fixtures/text/input/dulce.txt b/graphrag/tests/fixtures/text/input/dulce.txt
new file mode 100644
index 0000000000000000000000000000000000000000..95c9e3cd3af76b570f0550d69b2025d7cd6fafbb
--- /dev/null
+++ b/graphrag/tests/fixtures/text/input/dulce.txt
@@ -0,0 +1,970 @@
+# Operation: Dulce
+
+## Chapter 1
+
+The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce.
+
+“I assume, Agent Mercer, you’re not having second thoughts?” It was Taylor Cruz’s voice, laced with an edge that demanded attention.
+
+Alex flickered a strained smile, still thumbing his folder's corner. "Of course not, Agent Cruz. Just trying to soak in all the details." The compliance in his tone was unsettling, even to himself.
+
+Jordan Hayes, perched on the opposite side of the table, narrowed their eyes but offered a supportive nod. "Details are imperative. We’ll need your clear-headedness down there, Mercer."
+
+A comfortable silence, the kind that threaded between veterans of shared secrets, lingered briefly before Sam Rivera, never one to submit to quiet, added, "I’ve combed through the last transmission logs. If anyone can make sense of the anomalies, it’s going to be the two of you."
+
+Taylor snorted dismissively. “Focus, people. We have protocols for a reason. Speculation is counter-productive.” The words 'counter-productive' seemed to hang in the air, a tacit reprimand directed at Alex.
+
+Feeling the weight of his compliance conflicting with his natural inclination to leave no stone unturned, Alex straightened in his seat. "I agree, Agent Cruz. Protocol is paramount," he said, meeting Taylor's steely gaze. It was an affirmation, but beneath it lay layers of unspoken complexities that would undoubtedly unwind with time.
+
+Alex's submission, though seemingly complete, didn't escape Jordan, who tilted their head ever so slightly, their eyes revealing a spark of understanding. They knew well enough the struggle of aligning personal convictions with overarching missions. As everyone began to collect their binders and prepare for departure, a quiet resolve took form within Alex, galvanized by the groundwork laid by their interactions. He may have spoken in compliance, but his determination had merely taken a subtler form — one that wouldn't surrender so easily to the forthcoming shadows.
+
+\*
+
+Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive."
+
+A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic."
+
+Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. 
+
+Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field.
+
+The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._
+
+As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come.
+
+\*
+
+A deserted corridor inside the facility stretched before Taylor Cruz, each footstep rhythmic and precise. Cruz, ambitious and meticulous, eyed the troops passing by with a sardonic tilt of the lips. Obedience—it was as much a tool as any weapon in the arsenal, and Cruz wielded it masterfully. To them, it was another step toward unfettered power within the dark bowels of the military complex.
+
+Inside a secluded equipment bay, Cruz began checking over gear with mechanical efficiency. They traced fingers over the sleek surface of an encrypted radio transmitter. "If protocols are maintained," said Cruz aloud, rehearsing the speech for their subordinates, "not only will we re-establish a line of communication with Dulce, but we shall also illuminate the darkest secrets it conceals."
+
+Agent Hayes appeared in the doorway, arms crossed and a knowing glint in their eyes. "You do understand," Jordan began, the words measured and probing, "that once we're in the depths, rank gives way to survival instincts. It's not about commands—it's empowerment through trust."
+
+The sentiment snagged on Cruz's armor of confidence, probing at the insecurities festering beneath. Taylor offered a brief nod, perhaps too curt, but enough to acknowledge Jordan's point without yielding ground. "Trust," Cruz mused, "or the illusion thereof, is just as potent."
+
+Silence claimed the space between them, steeped in the reality of the unknown dangers lurking in the shadows of the mission. Cruz diligently returned to the equipment, the act a clear dismissal.
+
+Not much later, Cruz stood alone, the hollow echo of the bay a stark reminder of the isolation that power often wrought. With each checked box, their resolve steeled further, a silent vow to usher their team through the abyss—whatever it might hold—and emerge enshrined in the respect they so deeply craved.
+
+## Chapter 2
+
+Sam Rivera sat alone in a cramped office, the hum of a dozen servers murmuring a digital lullaby in the background. Surrounded by the glow of multiple screens, their eyes danced across lines of code and intercepted comm signals from Dulce — a kaleidoscope of data that their curious and isolated mind hungered to decrypt.
+
+To an outsider, it might have looked like obsession, this fervent quest for answers. But to Sam, it was a dance — a give and take with the mysteries of the universe. Their fingers paused over the keyboard as they leaned back in the chair, whispering to thin air, "What secrets are you hiding from us?"
+
+The stillness of the room broke with the unexpected arrival of Alex Mercer, whose encroaching shadow loomed over Sam's workspace. The cybersecurity expert craned their neck upwards, met by the ever-so-slight furrow in Alex's brow. "Got a minute, Rivera?"
+
+"Always," Sam said, a smile surfacing as they swiveled to face their mentor more directly. _He has that look — like something's not sitting right with him,_ they noted inwardly.
+
+Alex hesitated, weighing his words carefully. "Our tech is top-tier, but the silence from Dulce... It's not just technology that will see us through, it's intuition and... trust." His gaze pierced through the digital haze, trying to instill something more profound than advice.
+
+Sam regarded Alex for a moment, the sincerity in his voice resonating with their own unspoken desire to prove their worth. "Intuition," they mirrored thoughtfully. "I guess sometimes the numbers don't have all the answers."
+
+Their shared silence held a newfound understanding, a recognition that between the ones and zeros, it was their combined human insights that might prevail against the impossible. As Alex turned to leave, Sam's eyes drifted back to the screens, now seeing them not as barriers to isolate behind, but as windows into the vast and enigmatic challenge that awaited their team.
+
+Outside the office, the persistent buzz of activity in the facility belied the unease that gripped its inhabitants. A restlessness that nibbled on the edges of reality, as though forewarning of the threshold they were soon to cross — from the known into the realm of cosmic secrets and silent threats.
+
+\*
+
+Shadows played against the walls of the cramped underground meeting room, where Alex Mercer stood gazing at the concealed elevator that would deliver them into the bowels of Dulce base. The air was thick, every breath laced with the weight of impending confrontation, the kind one feels when stepping into a legend. Though armed with an array of advanced weaponry and gear, there was an unshakeable sense that they were delving into a conflict where the physical might be of little consequence.
+
+"I know what you're thinking," Jordan Hayes remarked, approaching Mercer. Their voice was low, a blend of confidence and hidden apprehension. "This feels like more than a rescue or reconnaissance mission, doesn't it?"
+
+Alex turned, his features a mask of uneasy resolve. "It's like we're being pulled into someone else’s game. Not just observers or participants, but... pawns."
+
+Jordan gave a short nod, their analytical mind colliding with the uncertain dynamics of this operation. "I've felt that way since the briefing. Like there's a layer we’re not seeing. And yet, we have no choice but to play along." Their eyes locked with Alex's, silently exchanging a vow to remain vigilant.
+
+"You two need to cut the philosophical chatter. We have positions to secure," Taylor Cruz interjected sharply, stepping into their exchange. The authority in Taylor's voice brooked no argument; it was their way of pulling everyone back to the now.
+
+Alex's response was measured, more assertive than moments ago. "Acknowledged, Agent Cruz," he replied, his voice steadier, mirroring the transformation brewing within. He gripped his rifle with a newfound firmness. "Let's proceed."
+
+As they congregated at the elevator, a tension palpable, Sam Rivera piped in with a tone of balanced levity, "Hope everyone’s brought their good luck charms. Something tells me we’re going to need all the help we can get."
+
+Their laughter served as a brief respite from the gravity of their mission, a shared moment that reinforced their common humanity amidst the unknowable. Then, as one, they stepped into the elevator. The doors closed with a silent hiss, and they descended into the darkness together, aware that when they returned, if they returned, none of them would be the same.
+
+\*
+
+The sense of foreboding hung heavier than the darkness that the artificial lights of the elevator shaft failed to fully penetrate. The team was descending into the earth, carrying with them not only the weight of their equipment but also the silent pressure of the invisible war they were about to fight—a war that seemed to edge away from physicality and into the unnervingly psychological.
+
+As they descended, Dr. Jordan Hayes couldn't help but muse over the layers of data that could wait below, now almost longing for the comfort of empirical evidence. _To think that this reluctance to accept other possibilities may have been my biggest blind spot,_ Jordan contemplated, feeling the hard shell of skepticism begin to crack.
+
+Alex caught Jordan's reflective gaze and leaned in, his voice barely a murmur over the hum of the elevator. "Once we're down there, keep that analytical edge sharp. You see through the mazes of the unexplained better than anyone."
+
+The compliment was unexpected and weighed differently than praise from others. This was an acknowledgment from someone who stood on the front lines of the unknown with eyes wide open. "Thank you, Alex," Jordan said, the words carrying a trace of newfound assertiveness. "You can count on me."
+
+The exchange was cut short by a shudder that ran through the elevator, subtle, but enough to make them instinctively hold their breaths. It wasn't the mechanical stutter of old gears but a vibration that seemed to emanate from the very walls of the shaft—a whisper of something that defied natural explanation.
+
+Cruz was the first to react, all business despite the shadow that crossed their expression. "Systems check. Now," they barked out, masking the moment of disquiet with swift command.
+
+Every agent checked their gear, sending confirmation signals through their comms, creating a chorus of electronic beeps that promised readiness. But there was an unspoken question among them: was their technology, their weaponry, their protocols sufficient for what awaited them or merely a fragile comfort?
+
+Against the gravity of the silence that was once again closing in, Sam's voice crackled through, only half-jest. "I'd laugh if we run into Martians playing poker down there—just to lighten the mood, you know?"
+
+Despite—or perhaps because of—the oddity of the moment, this elicited a round of chuckles, an audible release of tension that ran counterpoint to the undercurrent of anxiety coursing through the team.
+
+As the elevator came to a halting, eerie calm at the sub-level, the group stepped off, finding themselves at the threshold of Dulce's mysterious halls. They stood in a tight pack, sharing a cautious glance before fanning out into the unknown, each one acutely aware that the truth was inevitably intertwined with danger.
+
+Into the depths of Dulce, the team advanced, their silence now a shared testament to the camaraderie born of facing the abyss together—and the steel resolve to uncover whatever horrors lay hidden in its shadows.
+
+\*
+
+The weight of the thick metal door closing behind them reverberated through the concrete hallway, marking the final threshold between the familiar world above and the strangeness that lay beneath. Dulce base, a name that had been whispered in the wind-blown deserts above and in the shadowed corners of conspiracy forums, now a tangible cold reality that they could touch — and that touched them back with a chill.
+
+Like lambs led to an altar of alien deities, so did Agents Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera proceed, their movements measured, their senses heightened. The air was still, almost respectful of the gravity of their presence. Their torch beams sliced through the darkness, uncovering steel doors with warnings that spoke of top secrets and mortal dangers.
+
+Taylor Cruz, stepping firmly into the role of de facto leader, set a brisk pace. "Eyes sharp, people. Comms check, every thirty seconds," Taylor ordered, their voice echoing slightly before being swallowed by the surrounding silence.
+
+Sam, fiddling with a handheld device aimed at detecting electronic anomalies, offered a murmured "Copy that," their usual buoyancy dimmed by the oppressive atmosphere.
+
+It was Jordan Hayes who paused at an innocuous looking panel, nondescript amongst the gauntlet of secured doorways. "Mercer, Rivera, come see this," Jordan’s voice was marked with a rare hint of urgency.
+
+Alex joined Jordan's side, examining the panel which, at a mere glance, seemed just another part of the base's infrastructure. Yet, to the trained eye, it appeared out of place—a facade.
+
+Jordan explained their reasoning as Sam approached, instinctively understanding the significance of what lay beneath, "This panel is a recent addition — covering something they didn't want found."
+
+Before Alex could respond, the soft whir of an approaching drone cut through their muffled exchange. Taylor had looped back upon hearing the commotion. "Explanations later. We can't afford to attract..." Cruz’s voice trailed off as the small airborne device came into view, its sensors locked onto the group.
+
+Sam was the first to react, their tech-savvy mind already steps ahead. "I've got this," they declared, fingers flying over the controls of their own gadgetry to ward off the impending threat.
+
+The drone lingered, its scan seeming more curious than hostile. But within moments, courtesy of Sam's interference, the little sentinel drifted away, retreating into the shadows as if accepting a silent truce. The crew exhaled, a moment of collective relief palpable in the air.
+
+Cruz squared their shoulders, clearly ruffled but not conceding any ground. "Move out," they directed, a hint more forceful than before. "And Rivera, keep that trick handy."
+
+The team pressed onward, the quiet now filled with the soft beeps of regular comms checks, their pace undeterred by the confrontation. Yet, every agent held a renewed sense of wariness, their trust in one another deepening with the knowledge that the base—its technology, its secrets—was alive in a way they hadn't fully anticipated.
+
+As they converged upon a central hub, the imposing doors to the mainframe room stood ajar — an invitation or a trap, neither option comforting. Without a word, they fortified their resolve and stepped through the threshold, where the dim glow of operational LED lights and the distant hum of machinery hinted at Dulce’s still-beating heart.
+
+Solemnly, yet unmistakably together, they moved deeper into the heart of the enigma, ready to unmask the lifeforce of Dulce base or confront whatever existential threat lay in wait. It was in that unwavering march towards the unknown that their destinies were forever cemented to the legacy of Operation: Dulce.
+
+## Chapter 3
+
+The thrumming of monitors cast a stark contrast to the rigid silence enveloping the group. Agent Alex Mercer, unfailingly determined on paper, seemed dwarfed by the enormity of the sterile briefing room where Paranormal Military Squad's elite convened. With dulled eyes, he scanned the projectors outlining their impending odyssey into Operation: Dulce.
+
+\*
+
+The cooling vents hummed in a monotonous drone, but it was the crackle of the comms system coming to life that cut through the lab’s tension. Dr. Jordan Hayes hovered over a table arrayed with alien technology, their fingers delicately probing the enigmatic circuitry retrieved from the crash site. Agent Alex Mercer watched, admiration blooming in silent solidarity for Jordan's deft touch and unspoken drive.
+
+Jordan, always composed, only allowed the faintest furrow of concentration to mar their brow. "What we understand about physics..." they muttered, trailing off as they realigned a translucent component. The device emitted a low pulse, causing Jordan to still. "Could be fundamentally changed by this."
+
+A calculated risk—that's what this was. And for a person of science, a gamble was worth the potential paradigm shift.
+
+"I’ve been thinking," Alex started, his eyes still fixed on the immediately tangible mystery before them. "About what’s at stake here. Not the mission parameters, but what this means for us—humanity."
+
+Jordan glanced up, meeting his eyes just long enough to convey the shared enormity of their situation; the career-defining glory and existential dread entwined. "The quest for understanding always comes at a price. We're standing on the precipice of knowledge that could either elevate us or condemn us."
+
+The charged air between them spiked as Taylor Cruz’s brusque tones sliced through their reverie. "Hayes, Mercer, this isn't philosophy hour. Focus on the task. We need actionable intel, not daydreams."
+
+With a sound of restrained acknowledgment, Jordan returned their gaze to the device, while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.
+
+Then Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”
+
+The underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.
+
+It was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths and for different reasons. Yet, beneath the veneer of duty, the enticement of the vast unknown pulled them inexorably together, coalescing their distinct desires into a shared pulse of anticipation.
+
+Marshaled back to the moment by the blink of lights and whir of machinery, they refocused their efforts, each movement sharpened by the knowledge that beyond understanding the unearthly artifacts, they might be piecing together the future of their species.
+
+\*
+
+Amidst the sterility of the briefing room, the liminal space between the facts laid out and the hidden truths, sat Sam Rivera, his demeanor an artful balance of focus and a casual disguise of his razor-sharp talent with technology. Across from him, Alex Mercer lingered in thought, the mental cogs turning as each file on Dulce stirred more than curiosity—it beckoned to a past both honored and burdensome.
+
+"You've been quiet, Sam," Alex noted, catching the younger man's contemplative gaze. "Your take on these signal inconsistencies?"
+
+There was a respect in Alex's tone, though a respectful distance remained—a gulf of experience and a hint of protective mentorship that stood between them. Sam nodded, recognizing the space afforded to him, and he couldn't help but feel the weight of expectation pressing upon his shoulders. It wasn't just the mission that was immense, it was the trust being placed in him.
+
+"The patterns are... off," Sam admitted, hesitant but driven. "If I'm right, what we're looking at isn't random—it's a structured anomaly. We need to be ready for anything." 
+
+Alex's eyes brightened with a subtle approval that crossed the distance like a silent nod. "Good. Keen eyes will keep us ahead—or at least not blindsided," he said, affirming the belief that inscribed Sam's role as more than the tech personnel—he was to be a guiding intellect in the heart of uncertainty.
+
+Their exchange was cut short by Taylor Cruz's abrupt arrival, his gait brimming with a robust confidence that veiled the sharp undercurrents of his striving nature. "Time to gear up. Dulce waits for no one," Taylor announced, his voice carrying an iron resolve that knew the costs of hesitation—though whether the cost was calculated in human or career terms was an ambiguity he wore like a badge of honor.
+
+As Sam and Alex nodded in unison, the icy chasm of hierarchy and cryptic protocols seemed momentarily to bridge over with an understanding—this mission was convergence, a nexus point that would challenge each of their motives and strength.
+
+They filed out of the briefing room, their footsteps synchronized, a rhythm that spoke volumes of the unknown cadence they would soon march to within the base's veins. For Alex Mercer, the link with Sam Rivera, though distant, was now poised with a mutuality ready to be tested; for Taylor Cruz, the initiative pulsed like a heartbeat, anticipation thinly veiled behind a mask of duty.
+
+In the midst of the descent, they were each alone yet irrevocably joined, stepping closer towards the volatile embrace of Operation: Dulce.
+
+## Chapter 4
+
+The corridors of the Dulce military base were as silent as a tomb and twice as chilling. Alex Mercer walked with a surety that belied his bubbling undercurrents of doubt. The briefing had been definitive, sturdy pillars of facts and protocols, yet as he ventured deeper, the ominous atmosphere gnawed at him—a stark reminder of how much remained unknown.
+
+Jordan Hayes trailed a few steps behind, their detached exterior breaking for a moment as they caught up to Alex. "What's on your mind?" Jordan asked, their astuteness cutting through the unspoken tension.
+
+Alex glanced back at them. This place was a puzzle, a treacherous labyrinth where the walls whispered secrets, and among them, he sensed a call to question, to challenge the narrative they'd been sold. "The silence here... It's almost as if the base is waiting for something—or someone."
+
+"Just stay sharp, Mercer," Jordan cautioned, yet their eyes lingered on the quietude around them, conceiving the same shadow of doubt that unsettled Alex.
+
+Before they could delve into further discussion, the distinctive click of a safety catch echoed in the hollow space. Both agents turned to find Taylor Cruz standing resolute, primed for combat. Taylor's gaze was scrutinizing and cold, a stark contrast to the growing unease that smoldered silently amongst the rest.
+
+"Chatter is a liability," Taylor snapped, with a commanding flair that bordered on tyrannical. "We move forward, eyes open, mouths shut."
+
+Alex felt the tight grip of compliance strangle his gut, a lesson learned under the hard tutelage of rank and order. But here, in the bowels of Dulce, those instincts began to wane, the imperative to adhere now conflicting with the pressing urgency to confront the shadows they were enmeshed in.
+
+Then, unexpectedly, the lights flickered, a power fluctuation—or a sign? Alex's hand instinctively went to his sidearm, his mindset shifting from soldier to skeptic. The base, with its unyielding coldness, had just given them their first nudge into the realm of the speculative, an invitation to peel back the veneer of reality.
+
+"We should consider all possibilities," Alex murmured, more to himself than the others, his voice a barely audible breath against the sterile air of the complex.
+
+Taylor's posture stiffened at the challenge, yet their response was uncharacteristically reserved, notable in its lack of rebuke. "Agreed. For now, keep moving. But stay vigilant."
+
+A surprise—an echo of agreement from the last person Alex expected it from. And there it was, the glimpse of a wrinkle in the unyielding fabric of command, a hint that perhaps they were all starting to sense the strangeness that permeated this place.
+
+Progressing with determined steps, the trio moved deeper, silently acknowledging the evolution of their predicament. It was a small yet transformative concession to the unknown forces at play, an acknowledgment from each agent that, despite their disparate goals and ideals, the true nature of the Dulce base was an enigma that would forge new paths through their convictions.
+
+As they reached the central communications hub, the truth that awaited them lurked in the shadows, its eyes unseen but felt by all. The walls didn't just whisper now; they spoke in tones only the brave—or the foolish—would dare to listen to.
+
+\*
+
+The subterranean silence of Dulce was an oppressive entity of its own, wrapping the team in a cloak of uneasiness as they pressed on through the dimly lit corridor. Jordan Hayes found themselves contemplating the ramifications of each step taken into this suspended world, where the sterile air seemed to mock the gravity of their predicament. The closer they got to the communication hub, the more Jordan's mind wandered toward the realm of the inexplicable.
+
+Beside Jordan, Alex Mercer moved forward with deliberation, his gaze scanning the heavy utility doors they passed—one of which was partially ajar, beckoning them with its darkness. "After you, Dr. Hayes," Alex said, gesturing toward the mysterious opening. A hint of shared understanding passed between them; knowledge was the guiding star of this mission as much as confrontation or recovery.
+
+Jordan peered inside, the beam from their flashlight slicing through the obscurity. The room beyond was a chaotic cascade of papers, overturned furniture, and the particular kind of disorder born from hasty evacuation—or something far more sinister.
+
+"It's like they vanished in the middle of something urgent," Alex murmured, his voice tight with a mix of concern and anticipation. He began to sift through the scattered reports, each page a potential clue to the enigmatic silence that shrouded Dulce.
+
+Behind them, Taylor watched with a disciplined patience, their authority the foundation upon which the operation was built. Their voice cut into the stillness, a reminder of their presence, "Time is not our ally here."
+
+Drawing back from momentary distraction, Jordan acknowledged the wisdom in Taylor's words, yet could feel the shift in their stance—from skeptical, reserved analyst, to a proactive agent within the narrative. "You're right; these documents may hold critical insights. Let's collect what we can and analyze them properly."
+
+From the darkened hollows of the room, shadows seemed to cast subtle judgment as Alex and Jordan worked together with heightened urgency. Taylor, for once, didn't intervene but instead surveyed the entrance, their mind anticipating the unknown variables that lay ahead.
+
+Unexpectedly, a soft hiss emanated from a neglected terminal on the desk. Jordan's head snapped up, their heart rate accelerating at the potential ramifications. Without a word, they moved to the machine, hands driven by the newfound conviction that knowledge was more than power—it was survival.
+
+As Jordan began to extract what data they could from the terminal, the first comprehensible communication from the depths of Dulce in far too long crackled through: an automated distress marker, looping endlessly without further context. It was a revelation, one that reverberated through the group, confirming their fears and igniting an even greater need to press on.
+
+Watching Jordan's dogged determination, Alex witnessed the minor transformation in his colleague unfold—a shift from doubt to action, a sliver of belief in the possibilities beyond their rational understanding. This forge of resolve amidst the alien echoes of Dulce not only bonded them closer as a team but compelled them forward with a sharpened edge of responsibility to the truth, wherever it would lead.
+
+As they collected their findings and regrouped, the base around them imperceptibly changed, the air charged with the vibration of secrets poised on the brink of revelation. And in that charged silence, the group moved on, each now carrying pieces of a puzzle that would soon converge into a picture of galactic significance.
+
+\*
+
+In the chill of the cramped server room, the hum of machinery was the backbone to a symphony of data streams coursing through the air. Dr. Jordan Hayes, nerves alight with the mission's mounting unknowns, patched into the last known coordinates of the unsent distress broadcast they had uncovered. They were so close to the core now – to the truth behind the blackout – it was almost tangible.
+
+Beside them stood Agent Alex Mercer, ever the soldier, yet with eyes that betrayed an intellect craving to understand the murk beneath the surface. "Any progress, Dr. Hayes?" Alex queried, his voice betraying a subtle urgency.
+
+"Getting there," Jordan replied, fingers dancing across the keyboard. "Whoever sent this was cut off mid-transmission. It's as if Dulce itself swallowed the message whole."
+
+Taylor Cruz closed in, their frame casting a long shadow over the duo, evoking an almost palpable wall between them and the forward momentum of their mission. "Time is against us," Taylor intoned, more statement than threat. "What we uncover here determines our next course of action."
+
+Alex acknowledged Taylor with a brisk nod, his stance firm. Yet inwardly, the tightening grip he felt from Taylor's words couldn't throttle the swell of his own investigative instinct. His soldier's obedience had begun to war with the advocate's zeal for unveiling the dark heart of Dulce's secrets. 
+
+And then, the unexpected occurred. The screens flashed in unison, spilling a discordant stream of symbols and images that defied immediate analysis. Jordan's breath caught – this was the response they had been fishing for, an alien communication protocol resonating just at the edge of human comprehension.
+
+Each member of the team felt it: a shift in the room’s very atmosphere, like a veil being drawn from their perception. Alex and Jordan stood still, absorbed in the bewilderment of contact, while Taylor, despite their authority, hesitated – a minor betrayal that unease was creeping into even their disciplined heart.
+
+"Thoughts, Rivera?" Taylor rallied, seeking the counsel of Sam Rivera, whose eyes were wide with exhilaration.
+
+Sam stepped forward, breaking the spell of stillness. "It's like nothing I've ever seen before, but I think I can bridge our systems to communicate," they declared, a wisp of optimism braiding their voice. They set about adapting their gear to transmute the foreign signals into something the team could dissect, their actions a testament to the mentorship and belief instilled in them by Mercer and the team.
+
+Taylor observed them, a cold calculation behind their facade, as they weighed the worth of this anomaly. It was a crossroad that potentially led to either monumental breakthrough or unprecedented catastrophe. "Once you've established a line, document everything. We can't afford to miss any detail," Taylor ordered, the words sharper than intended.
+
+The connection was made, and with trembling anticipation, the team listened as the first garbled outputs began to emerge, their very essence promising insights that could alter the course of history. It was an enigmatic dance with the unknown, the pulse of Dulce no longer just a place, but a herald to an alien register the team had yet to decipher.
+
+Together, they stood at the precipice of understanding, where the faint glow of their monitors cast more than just light – it cast the shadow of burgeoning transformation. It was in this moment, in the grasp of an extraterrestrial tongue, that the team, bound by a hunger for knowledge and the raw edge of survival, found their mission reframed from a search for answers to the articulation of a question humankind had yet to fully ask.
+
+Silent in their commune with the inexplicable frequency, they realized they were not merely investigators; they had become liaisons on behalf of Earth, interpreters of a cosmic message that could redefine their very existence. The implications loomed large, but now, they would not face them alone – they would face them as a united front, wrought together by the very mysteries that once drove them apart.
+
+## Chapter 5
+
+Dr. Jordan Hayes clutched the edge of the briefing room table, their fingers white-knuckled against the laminate surface, as an array of constellations rotated on the projector—charts and graphs bleeding across the stars. In the dim room, nebulas and dark matter seemed within arm's reach, tangible yet unfathomable. 
+
+Sam Rivera leaned back against the wall, arms crossed, gaze darting between the swirling cosmos and the faces of their companions. A taut line of concentration etched their young features, a mingling of fervent curiosity with the nascent understanding of the high stakes for which they played.
+
+Jordan's voice broke the profound silence. "The patterns in the signal disruptions sync with none other than zenithal star alignments. It's as if... as if these 'meet and greets' were scheduled, predestined by celestial mechanics."
+
+The statement hung heavy, daring the occupants of the room to unravel its implications. Alex Mercer, his prior military resolve momentarily suspended, absorbed the hypothesis with a visible hunger. "It's like we're adhering to an appointment we never knew we had," he murmured, his heart a drumbeat in his chest.
+
+Taylor Cruz snorted—a sound that clattered against the high concepts like a tumbledown shack in a futurist cityscape. Folding their arms, they glanced between the agents, their apprehension clad in the contempt of practicality. "What we need are facts, not mystic conjecture."
+
+Alex pivoted on his heel, facing Taylor squarely, and his voice found its edge of steel. "This isn't mysticism, Cruz. It's a hypothesis based on observed phenomena as unpredictable as the place we're standing in."
+
+Taylor's gaze never wavered, yet the slight twitch at the corner of their mouth belied their taut composure. "If there's a semblance of truth to it, then it's critical intel. But remember, we're not astrologers—we're soldiers and scientists."
+
+Jordan met Taylor’s gaze with a curt nod, accepting the caution even as the crucible of their intellect smoldered with the fervor of cosmic discovery. Their eyes flicked to Sam, whose steady presence and ready tech affirmed a burgeoning dynamic—the makings of a sentinel, standing guard over the threshold of human understanding and cosmic reality.
+
+With the projector casting pallid light over their features, each agent became a silhouette of purpose, shadows pillared against the backdrop of an endless universe. The story they were embroiled in would soon demand they plunge into darkness to retrieve the light of knowledge—a light that could very well redraw the shape of their world.
+
+They left the briefing room with a shared silence, each pondering the vast weave of celestial intent and terrestrial response, sensing that the galactic appointment to which they'd unwittingly RSVP’d was more insistent—and more threatening—than any operation they’d faced before.
+
+\*
+
+As the Paranormal Military Squad team convened in the heart of the Dulce military complex, an air of bristling expectation clung to the walls of the underground sanctum. Alex Mercer’s brow furrowed while watching his companions—Jordan Hayes, diligently setting up their makeshift lab station, and Sam Rivera meticulously checking the communication relays they had restored. Taylor Cruz observed with hawk-like focus, yet to betray the strain that their command posed on them.
+
+The gravity of the mission had shifted, deepened; each member of the team felt its pull, tethered to the understanding that they were now part of a larger narrative—a cosmic play with Earth as a stage and the human race unwitting actors. 
+
+Jordan paused, a tension creeping across their shoulders as they aligned the satellite data with the alien message that had been decoded. "The instructions in this message," Jordan started, the timbre of their voice betraying their usual composure. "They're coordinates and... a warning."
+
+Sam leaned in, their eyes widening behind the glow of their laptop screen. "A warning? Like, ‘stay away from’, or ‘beware of’...?" Their words trailed off, uncertainty a new companion in their lexicon.
+
+Alex exhaled slowly, his mind racing to connect the dots. "It doesn't matter which," he said, decisive yet contemplative. "What matters is we understand intent. Are we being warned out of concern, or are we stumbling upon a threat?"
+
+Cruz’s iron-clad facade momentarily cracked, a fleeting glimpse of vulnerability flashing through their eyes. "We need to know if this entails additional risk to the operation," they said, directing their gaze specifically at Alex. "Mercer, I rely on you to keep the team grounded. No one goes off-course."
+
+Their reminder seemed both a command and a plea—rooted in an understanding that each member of the team now faced the duality of their roles, protectors of earthly secrets and heralds of potentially devastating revelations.
+
+Sam's fingers stilled mid-type, their task forgotten as they absorbed the weight of the unfolding reality. "We're the first line of defense... or detection," they mused half to themselves, a growing sense of agency within the larger play they were cast into.
+
+Jordan returned to the data, more resolute in their actions. The warning, whether cautionary or dire, was a beacon they no longer could ignore; its light casting aside shadows of doubt and igniting a collective purpose within the team.
+
+Alex watched Jordan and Sam, feeling a brotherhood in their shared quest. As Cruz paced, poised on the cusp of decisions that would mark their career and perhaps the fate of many, Alex knew the narrative had changed. They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.
+
+Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.
+
+Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer’s latter instincts gained precedence— the team’s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly hierarchies but by the pulsing symphony of the universe itself.
+
+\*
+
+The desert night loomed eerily still as echoes of hidden activity reverberated deep beneath the bleak sands of New Mexico. Diverting his gaze from the array of sensors before him, Jordan Hayes allowed a rare breath, deep and anxious. Turning to Alex Mercer's focused silhouette, the nocturnal landscape illuminated softly by makeshift floodlights, Jordan felt the syncopated tempo of apprehension and exhilaration jockey for primacy within.
+
+"The closer we get to unlocking these messages, the more I feel like we're peeling back layers of reality itself," Jordan confided, eyes not leaving the monitors that presented a constellation of data points.
+
+"Yes," Alex replied, his voice steady as he considered the implications of their discovery. "And we have to be ready for whatever we find beneath those layers. Whether it's a breakthrough or a Pandora's Box."
+
+Silence settled between them, broken only by the occasional buzz of communications equipment attempting to bridge terrestrial and extraterrestrial intelligences. Tense moments drifted by, laden with the expectant weight of near breakthrough, when a soft chime signaled an incoming transmission -- a rare sound that set every agent on high alert.
+
+Absent was the voice of Washington or Paranormal Military Squad command. Instead, a rhythmic series of pulses and tones filled the air, deliberately patterned, unmistakably non-human.
+
+Sam Rivera adjusted the sensitivity of the decoding equipment, their hands shaking with anticipation as much as focus. "I have it!" they announced, the signal transforming under their expertise into a sequence of visual symbols on the screen before them.
+
+Their shared excitement was palpable, a kinetic force resonating between the team members as they crowded around the display. 
+
+"What does it say?" Taylor Cruz demanded, the urgency in his tone scraping against the newfound wonderment.
+
+Interpreting the alien syntax required not only decoding but intuition and empathy. The words that emerged upon the screen were at once coherent and enigmatic: "*Voyage. Convergence. Peril.*"
+
+The stark simplicity of the message struck them collectively, a chill breeze wafting through their resolve.
+
+Alex stepped forward, piecing together the cryptic communication with a growing sense of obligation. "It’s a call to action," he deduced, "or possibly a summons."
+
+Jordan's gaze met Alex’s, both understanding that this was no longer an investigation or mere extraction of hidden truths. This was humanity's unwitting enlistment into a galactic dialogue that defied boundaries of nation, creed, or protocol.
+
+Sam's eyes were aglow, not with fear, but with the profound acceptance of inevitability that comes with groundbreaking revelation. Moreover, within Taylor's stern exterior churned the seed of reluctant admiration for the unclassified, the uncharted realms they were approaching.
+
+Together, they accepted the pivot in their mission, readjusting their objectives from exploration to engagement, and from isolation to a communal outreach beyond the stars. As dawn's first light threatened the horizon, it became clear that they were no longer merely operatives of a clandestine governmental faction—they were delegates on behalf of Earth, embarking on a voyage orchestrated by destinies unrelated to the mere geopolitics of their world.
+
+Turning to each other, their silhouettes sketched against the coming dawn, the agents recognized the transformation within and amongst them. They were bound by more than duty—they were intricately woven into the fabric of an unfolding cosmic opera, one in which they had been granted an undeniable role. And as they set course for the coordinates that beckoned them like a distant siren's call, it was with a solemn dedication to not only uncover the mysteries ahead but to navigate the convergence, and the peril, as unified emissaries of a world on the cusp of a broader understanding.
+
+\*
+
+Beneath the hum of the fluorescent lights and the vigilance of silent monitors, Alex Mercer stood with his team in the threshold of the base's command center, their faces etched with the fatigue of hours spent unraveling galactic mysteries. Jordan Hayes broke the stillness with a delicate fusion of disbelief and resolve. "The signal..." they began, their tone deliberate, "it’s evolving. It’s not just sending a message—it’s responding to us."
+
+Taylor Cruz leaned over the console, their eyes narrowing with intrigue and a flicker of unease, studying the alternating patterns on the screen. "Responding? Like it’s alive?" Taylor asked, a question that bordered on the edge of wonder and alarm.
+
+Sam Rivera’s gaze was locked onto their interface, a digital orchestra at their fingertips. "It could be some form of advanced AI. Or something else entirely," they contributed, a note of exhilaration betraying the gravity of the situation.
+
+Alex paced before the terminal, absorbing the enormity of their predicament. Their mission—once rooted in the solid ground of military discipline and covert operations—had transcended into an encounter of unprecedented import. "We need to be cautious," he advised, his voice a low rumble of cautious strategy. "If this signal is intelligent, how we interact with it could dictate the outcome of this entire operation."
+
+Jordan met Alex's gaze with a nod, the weight of the responsibility shared and accepted. "We have protocols for first contact, but nothing for... this," Jordan admitted. The room was gripped with tension, each breath seemingly louder than the last.
+
+Then, with a sudden burst that filled the command center, the signal coalesced into a clear and distinct pattern which replicated and expanded, its complexity revealing the hand—or mind—of an intelligent architect.
+
+Taylor's instinct for command surged forth. "Prepare to record and analyze. Whatever it is, we need to understand it—" But their words were cut short as the signal surged, enveloping the room in a brief, blinding cascade of light.
+
+In that pulse of brilliance, a shared revelation coursed through the team. The signal had become a bridge, an extension of unknown consciousness reaching towards them, testing, communicating, searching. 
+
+Alex stepped back from the light, feeling a profound change unravelling within him. The path forward would not be one of confrontation or conquest, but of connection and comprehension.
+
+Jordan turned to Alex and Taylor, seeing in their faces a reflection of the same metamorphosis taking place within themselves—a movement from observers to participants, from agents to ambassadors.
+
+With a collective breath, the team faced the kaleidoscope of lights. The alien signal, once a harbinger of enigma, was now a catalyst for transformation—a symphony of light and sound that echoed the beginnings of a new relationship between humanity and the alien unknown.
+
+And so, with deliberate steps, Alex Mercer led his team into the luminous fray. Science, protocol, and survival instinct harmonized within them, each member poised on the cusp of a new chapter in human history.
+
+They were no longer merely the instruments of Paranormal Military Squad's will—they were the vanguard of humankind’s first definitive leap into the cosmic community. 
+
+With the last echoes of the signal resonating in the control room, they each embraced the sequencing of the transmission, the dance of extraterrestrial light that now wrote itself into their story. The chapter of Operation: Dulce drew to a close, but the narrative of their destiny had only just begun.
+
+## Chapter 6
+
+\*
+
+The cool darkness of the command center at Dulce base was a stark contrast to the brewing storm outside, where the unforgiving New Mexico desert winds whispered of the hidden truths that lay buried deep beneath its surface. Dr. Jordan Hayes sat, their eyes fixed on the readout, the frenetic dance of symbols and numbers reflecting off their determined face. They were on the cusp of an epiphany, teetering between the widely accepted laws of physics and the promise of a new cosmic paradigm.
+
+Alex Mercer watched from across the room, noting the subtle shifts in Jordan’s posture that belied a developing readiness to embrace the unbelievable. “Find something?” Alex’s question, asked with a blend of curiosity and solidarity, bridged the gap between a command and a genuine query among equals.
+
+Jordan's response was slow, measured against the magnitude of their analysis. “This isn’t random static. It’s a pattern - a repeated sequence phasing in and out but distinctly artificial.” Jordan turned away from the screen, locking eyes with Alex. “This could change everything.”
+
+Sam Rivera leaned in, their eyes alight with the fires of revelation and a quenchless thirst for understanding. “A pattern means intention. Could it be a message?”
+
+A figure emerged from the doorway, casting a long shadow into the room - Taylor Cruz. “Intentions can be friendly, or hostile. We shouldn’t forget that,” said Taylor, bringing a dose of their usual pragmatism into the heart of discovery.
+
+Alex acknowledged Taylor’s caution with a nod, understanding the need to keep their feet grounded even as their spirits soared toward the unknown. “Then let’s be the first to find out which it is."
+
+The team gathered around the monitors, the soft tapping of Jordan's keystrokes now punctuated by the occasional crackle of Sam's radio equipment. The sound was almost ritualistic, a prelude to humanity’s potential first, knowing foray into a larger universe.
+
+Jordan’s fingers paused, suspended in mid-air. The signal had evolved, becoming a beacon that somehow felt less alien and more familiar. It was as if the complexities of their message were unfolding into something more accessible, more terrestrial.
+
+A hushed excitement swept through the room. The transformation suggested an awareness on the part of the unknown senders; a finesse that spoke volumes about their capabilities and perhaps their intentions.
+
+With the growing realization that they were engaging with an intelligence far exceeding their previous understanding, the team prepared to reach back across the cosmic divide. Prepared or not, they were no longer bystanders in this galactic narrative. They were active correspondents in an exchange that transcended galaxies and welcomed them into an expansive, possibly fraught, interstellar conversation.
+
+\*
+
+Inside the cavernous central hub of Dulce military base, Dr. Jordan Hayes stood in near-darkness, surrounded by a nest of cables and monitors that buzzed with silent, cryptic life. Jordan's eyes narrowed to focus on the sequences that danced across the screen—patterns that could unravel the cosmic enigma surrounding them.
+
+Alex Mercer approached with his characteristic stride, a signal of reliability in the chaos. "Status report, Dr. Hayes?" he inquired, his voice low, almost blending into the soundscape of beeping consoles and swirling fans.
+
+"We're on the brink of unravelling the signal's origin," Jordan replied, the weight of implications heavy in their tone. "There's intelligence behind it, a thought process alien to our own."
+
+As if summoned by their analysis, Taylor Cruz approached with authority radiating from every pore. "Understand this, we need to know if it's friend or foe. Don't get wrapped up in the existential—our lives may depend on the answers you provide."
+
+Sam Rivera, their hands adroitly adjusting a device to fine-tune the signal, chimed in with optimism undercut by anxious anticipation. "We're deciphering the comm encryption. Soon, we'll have a channel open—not just listening in, but speaking back."
+
+Alex nodded his understanding, his strategic mind processing the tactical implications while grappling with the more profound humanistic impact. "When we do, we'll tread carefully, communicate with purpose," he reassured the team.
+
+The operation had evolved rapidly, from a stealthy incursion into a clandestine labyrinth to an exchange with an extraterrestrial intellect. Their earlier trepidation transformed into determined focus, as they prepared to extend humanity’s hand into the vast unknown.
+
+An alert on one of the monitor stations snapped the team into alarm. The signal had not simply been waiting—it had been calculating. Now, it reached its crescendo, demanding their attention with a provocative urgency.
+
+Jordan's fingers raced over the keyboard, their eyes simultaneously interpreting data and sharing directives. "It’s a linguistic lock, a test of comprehension. We crack this, we establish dialogue."
+
+Taylor's presence was a beacon of steely resolve. "Then let’s solve it. This is what we trained for—the unknown."
+
+Alex and Sam exchanged a look that telegraphed their shared determination—this was not only the mission they had trained for; it was the mission they had been destined for.
+
+Together, the Paranormal Military Squad team leaned into the challenge, their minds honing in on the complex patterns with a singular goal: to unlock the conversation with an intelligence that had already begun to shift the foundations of what they knew, or thought they knew, about the universe.
+
+In a symphony of clicks and murmurs, they worked, knowing they were about to make a giant leap not just for themselves or Paranormal Military Squad, but for all of humanity. As the final pieces fell into place, Dulce's militaristic silence was shattered by the sound of intergalactic contact—by the sound of history being made.
+
+## Chapter 7
+
+In the enclosed space of Dulce’s command center, the air was thick with anticipation, each team member poised to tread the razor's edge between scientific breakthrough and galactic peril. Dr. Jordan Hayes focused intently on the screen, their fingers tapping a staccato rhythm against the keyboard as lines of alien code cascaded down the monitor.
+
+Alex Mercer's steely gaze surveyed the room, stopping on each member of his team. "Thoughts?" he asked, echoing the unspoken tension. His question, while directed at the group, lingered on Jordan—acknowledging their expertise and inviting collaboration rather than dictating orders.
+
+Jordan’s brow furrowed, an indicator of the mental gymnastics being performed. "It's unprecedented," they finally said, their voice a testament to the gravity of the moment. "Behavioral algorithms... if we're right, this code could reveal extraterrestrial thought patterns."
+
+Before anyone could react, Taylor Cruz interjected with the assertiveness of someone accustomed to commandeering the discourse. "Then let’s ensure we’re deciphering it correctly," Taylor stated, their tone suggesting they were still battling to maintain control over an increasingly alien situation.
+
+Sam Rivera hovered near the mainframe, youthful energy barely contained under the surface. "What if it’s more than just a message? What if they’re trying to extend consciousness across the stars?"
+
+The room fell into a contemplative silence, broken only by the hum of electronic equipment and the distant thud of secured doors locking in rhythm. The weight of responsibility rested on each agent's shoulders—a heaviness palpable in the air they shared.
+
+Alex stepped forward, reaching a subtle decision, one dictated by foresight and the humanity nestled at the core of their mission. "We approach with the aim to understand, not to confront," he said, softening his military bearing into a more diplomatic stance.
+
+Jordan nodded, appreciating the leadership that Alex displayed in the face of the unknown, and turned back to the cryptic data. Here, before them all, was a tangible piece of evidence—proof of an extraterrestrial sentience that had outreached the bounds of their expectations.
+
+Taylor took a breath, simultaneously exuding a sense of preparedness and venturing into the unknown alongside their peers. "Then let’s do what Paranormal Military Squad does best—investigate and adapt," Taylor added, finding comfort in the familiar even as they stood on the cusp of an unprecedented alchemy of science and mystery.
+
+The team leaned into their respective roles, driven by the urgency of the assignment and the pull of an insatiable curiosity. Sam offered a grin that belied the tension, a youthfulness that reminded them all of the profound excitement nested within the terror of the unknown.
+
+Quietly but resolutely, they turned back to their instruments, each of them a sentinel on the threshold of a new reality. The once implicit lines of command were now woven into a shared tapestry of hierarchy and camaraderie. As they danced with the unknown, they were beacons of sentient endeavor, casting the light of human consciousness into the vast darkness that called to them.
+
+\*
+
+\*
+
+Dulce Base's cavernous darkness was pierced by the sharp luminescence of monitors, casting an electric glow onto the faces of those who dared to unearth its secrets. Dr. Jordan Hayes stood motionless, eyes glazed in concentration, their mind a nexus where terrestrial science battled with celestial unknowns.
+
+Alex Mercer watched from a slight distance, the weight of command tangible upon his shoulders, though lightened by the shared burden now held amongst them. "We could be on the frontier of a new kind of diplomacy," he mused aloud, giving voice to the moment's gravity.
+
+At those words, Jordan's trance broke. "If that's the case, then these communications," Jordan motioned to the stream of data, "are our olive branch across the cosmos."
+
+Taylor Cruz, who paced with restless energy, halted and faced the team—his stoicism marred by the erratic dance of lights reflected in his eyes. "An olive branch, or an invitation to a battlefield?" he posed, ever the strategist, his words laced with a hint of cynicism.
+
+Sam Rivera, nestled amongst an array of equipment, licked their lips—a mixture of nerves and anticipation palpable. "We're mapping out something incredible here. Whether it's peace or war, we're the cartographers."
+
+Silence enveloped them like the expanse of space itself, each member contemplating the chasms they might bridge—or the abysses into which they might unwittingly descend.
+
+Alex's demeanor assumed a quiet resolve—the profound knowledge that this mission was as much about navigating uncharted philosophical territories as it was about ensuring survival. "Whichever it proves to be, we'll face it. Prepared, unified."
+
+A nod passed between Jordan and Alex, a silent exchange of mutual respect and shared mission. Sam, buoyed by the weighty encounters of the mind and machinery, entered keystrokes with a fervor that seemed to bring them ever closer to the alien mind.
+
+They stood there, the Paranormal Military Squad team, not just as guardians of homeworld secrets or as soldiers of clandestine wars, but as humankind's chosen few at the fulcrum of history—a history that was now unfolding to the rhythm of otherworldly codes.
+
+Each revelation, each parsed symbol, inched them toward the line between the earthly and otherworldly. And as they stood on this precipice of cosmic negotiations, it was clear the ensuing dialogue would not just shape the future of Paranormal Military Squad—it could very well redefine the parameters of human existence.
+
+\*
+
+The hum of advanced computational systems tingling with cryptic transmissions framed the ambiance of Dulce's mainframe chamber. Jordan Hayes, fingers hovering over a console dense with blinking lights, furrowed their brow as sequences of alien data streamed across the screen. 
+
+Alex materialized behind them, his presence a stable beacon amidst the technological whirlwind. "Look for patterns, anomalies. Anything that might resemble a handshake protocol in their communications," he directed, his voice a low thrum, reverberating with cautious optimism.
+
+Jordan cast a glance over their shoulder, acknowledging Alex's contribution with the shared understanding of colleagues who had transcended mere professional acquaintance. "I’m isolating sequences that seem to recur with more intention than static. If these are their ‘handshakes,’ then we might just be making first contact," they remarked, their focus returning to the screen with renewed vigor.
+
+From the other end of the room, where shadows married the artificial light, Sam's voice crackled through the static of nearby speakers, "Don't forget the anomalies we detected earlier. Each one could be a word, a sentence, or even a concept untranslatable to our current understandings."
+
+Resolute, Taylor Cruz stood at Jordan's other side, a stoic figure wrestling with the implications of their mission. "Keep pursuing this line," Taylor instructed, an undercurrent of intensity carried forth in their otherwise composed demeanor. "And remember, this isn't just about making contact; it's about securing knowledge for humanity."
+
+Alex offered a nod that spoke volumes, conveying his understanding of the stakes at play. Here, in this chamber of possibility, the team's actions would determine if humanity stood at the brink of a new age of understanding or the onset of an unprecedented threat.
+
+Every second thrummed with significance as Jordan and Sam worked in tandem, each keystroke a foray into the unknown. Taylor observed with a commander's scrutiny, the gravity of their role sustaining them against the waves of ambiguity breaking against their resolve.
+
+Pivotal moments come rarely in the course of human events but here, amidst the electronic symphony of a stalwart command center, lay the incepting notes of a cosmic overture. The harmony between human and alien, between Paranormal Military Squad and the vast reaches of space, began its first tentative measures, with each member of the team a vital instrument in a celestial ensemble yet to be fully heard.
+
+\*
+
+The crisp air within the mainframe room of Dulce base seemed to hum with unspoken possibilities. Jordan Hayes was the centerpiece of focus, their hands dancing methodically over the console as streams of otherworldly code cascaded down monitors, each flicker a potential key to the cosmic doors they were inching open.
+
+Alex Mercer watched, posture relaxed but eyes sharp. "Remember, this could be our first introduction, maybe even our first impression," he said, mindful of the gravity carried by each action they made henceforth.
+
+A hint of a smile touched Jordan's face, a small acknowledgment of the monumental task at hand. "Understood. I'm balancing the signal's syntax with our algorithms. If we're interpreting this correctly, it could be... well, an invitation."
+
+Into the electric tension of the chamber walked Taylor Cruz, their silhouette a sharp contrast against the cool lighting, radiating a presence that spoke of command and chilly tenacity. "An invitation, or a challenge?” Taylor questioned, the weight of their suspicion casting a different tint on the cascading data.
+
+Sam Rivera, in a corner arrayed with sophisticated equipment, piped up, their voice a buoyant note amidst the tentative atmosphere. "Either way, it's a connection. One that we're uniquely positioned to navigate," they remarked with an air of optimism threading through the uncertainty.
+
+Alex channeled the strengths of his team into the core of their approach, his leadership adapting to the contours of an unprecedented scenario. "Cautious and curious," he reflected aloud, shaping a strategy that balanced their thirst for comprehension with the prudence required in addressing the unknown.
+
+Jordan, hands momentarily at rest, looked up. The signal was more than a sequence of bits and commands—it was a riddle wrapped in the depths of space-time, and they were on the cusp of parsing its meaning.
+
+Taylor, hardly a step away, nodded in silent agreement. The implications of their findings might very well direct the course of human destiny from this point onward.
+
+Finding a tempo among themselves, the Dulce team was a confluence of ambition and acumen, each member intuitive to the beats of discovery. The chamber around them held untold stories, secrets coaxed from the stars, that now, led by Paranormal Military Squad's finest, began to unravel.
+
+The future in those moments was unwritten, a narrative scribed not in the dust of desert confines, but in the potential for interstellar diplomacy and understanding. As they prepared to script humanity's next chapter, the room seemed to pulse with the heartbeat of a story far greater than the sum of its parts.
+
+## Chapter 8
+
+The grit of an earthbound dust storm contrasted sharply with the pristine sterility of the underground command center. Alex Mercer, eyes set with fervent determination, stood over Jordan Hayes, whose fingers danced across the keyboard with rapid purpose. Monitoring the progression of alien code unraveling before them, Mercer spoke with a tempered urgency, "Keep it steady, Jordan. We might be initiating the first true interspecies communication bridge here. It's all about finesse now."
+
+Taylor Cruz, the embodiment of military precision, surveyed the room with a calculated gaze from their vigil beside an array of glimmering screens. "Remember, these could be delicate negotiations -- or coded threats. Stay sharp," Cruz added, their voice cool as polished steel.
+
+Jordan, with a silent nod, recognized the gravity of both stances. Gravitating between scientific acuity and diplomatic caution, they replied, "The sequence is aligning—syncing with our comms. It's looking more and more like direct engagement."
+
+Amid the banks of electronic machinery, the thrumming pulse of an impending interspecies signal exchange, Sam Rivera interjected with a youthful zeal that cut through the weighty atmosphere, "It's not just an exchange. It's a... symphony. It's as if they're teaching us their language through modulation."
+
+A moment of profound silence swept over the team. The isolation of their location, deep within the top-secret labyrinth of Dulce, became suffused with an almost palpable sense of historical significance.
+
+"Then our response needs to be equally symphonic," Alex uttered, contemplating the awe-inspiring transmutation of their task from a simple recovery mission to a full-blown cosmic concerto.
+
+With a renewed sense of wonder tempered by caution, the Paranormal Military Squad team found themselves harmonizing a delicate balance between envoys and interpreters. The long shadow cast by their duty was now illuminated by the brilliant glow of otherworldly dialogue.
+
+In this carefully orchestrated march towards the unknown, each individual's expertise became critical notes in a larger melody. The narrative of human achievement, so often defined by solitary pursuits, now emerged as a collaborative opus, each member of the team a maestro in their right.
+
+The protocols of encounters, the mathematics of languages, and the poetics of connection all fused into a singular moment of convergence. The echo of their efforts reverberated back to them, not through the cavernous base's concrete walls, but from light-years away, in the form of a reply, intangible yet infinitely profound.
+
+\*
+
+Amidst the hum of the supercomputers and the faint static from the scrambled transmissions, Alex Mercer cast a thoughtful glance across the dimly lit room toward where Dr. Jordan Hayes was methodically adjusting the archaic dials of the decryption machine. "Any progress?" he asked, his tone conveying both impatience and the deep-seated respect born from countless shared challenges.
+
+Jordan did not look up, their gaze remained locked on the flickering lights that represented a dialogue suspended between worlds. Their fingers ceased their dance, hovering meditatively over the controls. "We might be on the cusp of a breakthrough," Jordan suggested. "The signal... it's evolved. It's reflexive now, responsive in a way that suggests sentience."
+
+Taylor Cruz's familiar sharp strides approached the two, breaking the rhythm of soft beeps. "Responsive is good, if it means understanding," Taylor said, head tilted as they peered at the encryption data scrolling by. "But remember, comprehension can bring revelation or conflict."
+
+Sam Rivera’s youthful voice permeated the tension, brimming with an excitement edged by the enormity of what they faced. "If it's truly sentient, we're not just cracking a code; we're learning how to converse with an entirely new form of consciousness," they chimed in, the weight of history not lost on the zealous astrotechnician.
+
+Alex nodded, his thoughts alighting on potential strategies for navigating the conversation they were cultivating with the unfathomable. "We need to keep that conversation going, echo its patterns, and speak its language," he resolved, knowing the delicate nature of their work merited every ounce of their collective acumen.
+
+The chamber now was a crucible, forging within it the future narrative of human contact with the unknown. Every signal pulse they sent out was an invitation for understanding, and every echo back a step closer to bridging the cosmic divide. And so, together, they stood - agents in Paranormal Military Squad's clandestine ranks, united by purpose, sculpting humanity’s first sonnets into the void.
+
+\*
+
+#### Knowledge graph updates
+
+- (Jordan Hayes, Interprets, Communications as cosmic diplomacy, Moderate)
+
+- (Taylor Cruz, Questions, Potential aggressiveness of alien intent, Minor)
+
+- (Sam Rivera, Expresses, Optimism about forming a connection, Minor)
+
+- (Alex Mercer, Adopts, Balanced strategy for contact, Moderate)
+
+- (Paranormal Military Squad team, Navigates, Beats of cosmic discovery, Moderate)
+
+- (Paranormal Military Squad team, Prepares, To script humanity's interstellar narrative, Major)
+
+## Chapter 9
+
+The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought.
+
+Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware."
+
+A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention.
+
+"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke."
+
+Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time."
+
+Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel."
+
+Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them.
+
+They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos.
+
+\*
+
+\*
+
+The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought.
+
+Dr. Jordan Hayes, whose hands had been steadfastly working the decryption algorithms, paused and looked up at Alex. "We're through the next layer of encryption," Jordan announced, a mixture of pride and gravitas in their tone. "It's communicating. It's... aware."
+
+A shadow momentarily clouded Alex's determined features—awareness implied so much more than mere intelligence. "Aware and reactive or aware and proactive?" he queried, his experience anticipating the pivotal importance of intention.
+
+"Unknown at this stage," Taylor Cruz interjected, looking up from a datasheet. "But I urge caution. We tread the line between breakthrough and disaster with each keystroke."
+
+Sam Rivera, ever the source of technological acumen, added their voice to the conversation. "The signal's adapting every time we interact with it. Like a conversation where both parties are learning each other's language in real time."
+
+Alex leaned in, rested a hand on Jordan's shoulder—a sign of companionship and an affirmation of trust. "Keep the communication channels open. But let no message, no pulse go unchecked. This could be our Rosetta Stone or our Tower of Babel."
+
+Silence fell over them, a momentary lull as each member of the team contemplated the historic weight of their task. Yet, it was impregnated with a tangible sense of excitement—a collective energy that thrummed through the air just as palpably as the electric current through the banks of machines surrounding them.
+
+They continued their work, squaring shoulders against the magnitude of their undertaking. The agents were standing not just at the precipice of a new chapter for Paranormal Military Squad but for all of humanity. For now, they communicated with powerful unknowns, but with each exchange, they were etching the first words of a dialogue that might forever alter humanity's place in the cosmos.
+
+\*
+
+Alex Mercer's eyes were fixed on the monitors, the reflected light casting an ethereal glow across his stoic face. The room buzzed with tension, a cacophony of low hums and electronic beeps that underscored the historic nature of their actions. He moved to where Dr. Jordan Hayes was immersed in their work, scrutinizing the alien code streaming rapidly down the terminal.
+
+"Find anything that might look like an entry point or a... digital handshake?" Alex asked, his voice steady, betraying none of the tension gripping his chest.
+
+Jordan looked up briefly, their expression weary yet intense, "Potentially. It's as if the code is anticipating our input, modifying itself in real-time. I've never seen anything like it."
+
+From across the room, Taylor Cruz's sharp voice cut through the hum. "Then it's learning or, possibly worse, baiting us. Proceed with extreme caution," they commanded, their firm stance reinforcing the gravity of the situation.
+
+Sam Rivera, surrounded by a cascade of screens and interfaces, added, "It's almost organic in its complexity. Any minute now, and I might have a way in."
+
+A slight nod was Alex's immediate response, his mind racing through the potential scenarios. "Everyone, stay alert. This could be the beginning of something profound." His seasoned eyes never left the unfolding drama on the monitors.
+
+The room fell silent, the air heavy with unspoken questions. Were they mere moments away from unlocking an otherworldly dialogue? Or was it a Pandora's box that, once opened, could not be closed?
+
+Alex moved closer to the main console, his fingers hovering over the command keys. With the precision of a maestro orchestrating a symphony, he communicated silently with Jordan – respectful of their expertise, aware that the next move could alter the course of human history.
+
+Jordan met his gaze, nodding sharply, and refocused on the task. The signal seemed to pulse with sentient curiosity, drawing them further into its intricate web. 
+
+A sudden flurry of alerts and the intensifying glow of monitors heralded that they had bridged a technological chasm. The alien intelligence on the other end was no longer a distant enigma – it was an active participant, responding to their digital overtures with an unknown agenda.
+
+The team's meticulous efforts had led them to a momentous threshold. Beyond lay unprecedented contact – a nexus of curiosity and potential peril. Within the confines of the base, against the backdrop of a silent desert night, the Paranormal Military Squad operatives became mediators of Earth's bid for cosmic relevance, their every action now a gesture in the grand dance of intergalactic relations.
+
+## Chapter 10
+
+The corridors of the Dulce military base, now silent, echoed with a history of whispered conspiracies and furtive movements. But in the command center, a delicate tapestry of light and sound was being woven as the echoes of cosmic dialogue resonated through the high-tech enclave. Dr. Jordan Hayes, now leading the efforts, called out from their workstation, "I’ve isolated the signal's harmonics. It's more than a call; it's a song, an interstellar siren’s call."
+
+Alex Mercer, steady and resilient in the face of the incomprehensible, acknowledged with a quiet nod, "A song that we need to learn—quickly." His eyes, heavy with responsibility, scanned the room, watching his team work tirelessly at the intersection of science and speculation.
+
+Sam Rivera, dulled by fatigue yet driven by unshakeable resolve, manipulated a complex array of audio interfaces. "There's a pattern, a repeating motif. It's structured, intentional," they muttered, their revelation a bridge between the known and the unimaginable.
+
+Taylor Cruz, a figure of central authority, paced the length of the room, their usual unflappable demeanor betraying a rare flicker of apprehension. "We should be wary of the sirens’ call," Taylor interjected, invoking myths of old as a cautionary metaphor. "We don't want to crash upon unseen shores."
+
+Undeterred, Jordan cast a determined glance at the team. "We navigate by starlight now, not by the limited light of our previous understanding." Their voice was a beacon, charting a course through unchartered realities.
+
+Every individual was acutely aware that each moment in that room was a conduit to an epochal shift for civilization. The mysterious signals, once distant and alien, had coalesced into complex and harmonious oscillations—beacons of an extraterrestrial intellect inviting Earth to join in a cosmic consortium.
+
+Silently, Alex approached the mainframe, his trained fingers aligning with the console’s mechanisms. The room watched in collective breathlessness as he set the frequency in motion, an introductory phrase to an otherworldly melody—a symphony that could bind worlds or spell devastation for all they knew.
+
+In the control room of Dulce, amongst whispered legends and the quiet hum of machines, humanity's ambassadors now stood, stretching their hands into the void, reaching for the hand that would either pull them into the light of new stars or into the maw of darkness between them.
+
+\*
+
+Underground, the Dulce facility's command center was awash with frenetic energy, a stark juxtaposition against the silent, decrepit corridors that enveloped them. The air hummed with anticipation as Dr. Jordan Hayes and Alex Mercer hunched over a console. The sterile light from the monitors cast an otherworldly glow upon their faces, now reflecting a mosaic of alien characters rapidly translating across the screen.
+
+"The patterns are evolving," Jordan murmured, concentration etched into their every feature. "It’s as if our attempts to decrypt have accelerated its learning. It’s adapting to us."
+
+Alex, who stood steadfast behind Jordan, felt a tinge of uncharted fear quickly quelled by the fire of discovery raging within him. "Keep it up," he urged. "But whatever this is becoming, we need to ensure it remains within our control."
+
+Taylor Cruz interjected, their voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.
+
+"It's like it's learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives ‘talking to strangers’ a whole new meaning."
+
+Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."
+
+Together, they stood on the edge of the unknown, forging humanity’s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.
+
+The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation of their investigative strategies. The air turned heavy with the scent of electricity and ambition as they closed in on a pivotal response.
+
+As the signal’s intelligence—whether artificial or biological—grew more profound, so too did the realization that their mission had morphed from passive observation to active engagement. There was no turning back now. Each agent embraced their part in the delicate dance of an interstellar exchange that could change everything they thought they knew about life, intelligence, and the dark void beyond Earth's atmosphere.
+
+\*
+
+The underground halls of Dulce Base, usually buzzing with covert operations, now thrummed with a different kind of energy, an electric mix of fear and fascination. At the heart of the base, in a room shielded from the world’s eyes, Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera huddled around a bank of monitors. Each screen flickered erratically with the alien script that had become the center of their lives—and perhaps the pivot on which humanity’s future would turn.
+
+Jordan's eyes never wavered from the displays, their expression was one of rapt concentration, interspersed with flashes of revelation. "We're conversing with the stars," they whispered, almost to themselves. The words hung in the air, a testament to the awe-inspiring strangeness of the situation.
+
+"The language is morphing; changing its structure with every exchange we have," Sam chimed in, enthusiasm tinged with the solemnity of the occasion. "It's like witnessing the birth of a new form of dialogue—one that spans galaxies."
+
+Taylor, despite the situation's precariousness, maintained an appearance of ironclad composure. "Keep the communication stream secured and monitored. We don't know what we're dealing with yet," they reminded the team, a bastion of protocol amidst uncertainty.
+
+Alex watched his team expand the parameters of human achievement; their work here would possibly define an era. "This is untrodden territory," he acknowledged, "and in every word we script, in every response we decode, we're drawing a map that others will follow."
+
+Jordan turned to Alex, a nod acknowledging the shared responsibility of this moment. They had embarked on a new voyage, an odyssey not of the body, but of the intellect and spirit. No longer explorers of the Earthly realm, they had been promoted by circumstance to ambassadors of humanity in a silent and boundless ocean.
+
+A sudden pulse of energy from the monitors signaled a breakthrough; the language had not only adapted but it seemed to resonate, to harmonize with their attempts at making contact. The alien script now sprawled across the screens didn't just ask to be understood—it invited interpretation, collaboration, maybe even companionship across the cold distances of space.
+
+As they stood before the precipice of first contact, Paranormal Military Squad's finest became the architects of a symphony meant to echo through the cosmos. But more than architects, they were the first to play the notes of this cosmic composition, daring to believe that on the other end, someone—or something—might be listening, ready to join the chorus.
+
+\*
+
+The underground command center of Dulce Base, once pulsing with clandestine operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera.
+
+Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt."
+
+The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here."
+
+Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood."
+
+Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance.
+
+The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion.
+
+A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption.
+
+The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history.
+
+## Chapter 11
+
+The sterile silence of Dulce Base's command center was thick with concentration as Alex Mercer surveyed his team, hunched over their respective technological battle stations. Each agent was a weapon against ignorance, their adversary a code from beyond the stars that held secrets to alien thought.
+
+\*
+
+The thrum of the colossal machinery vibrated through the subterranean facility as Alex Mercer stood amidst the whispers of technology, each carrying voices from worlds apart. He watched as Sam Rivera adjusted a complex array of cosmic translators, their expression a mixture of anticipation and awe.
+
+"Are we ready, Mercer?" Taylor Cruz asked, the soft glow of the command center consoles reflecting upon their stern face.
+
+Alex turned towards Taylor, his eyes holding a depth that betrayed the enormity of the threshold they were about to cross. "This is it," he said. "Initiate the protocol. It's time we answer the cosmos."
+
+Jordan Hayes, stationed at the mainframe, typed rhythmically, a blue hue painting their focused features. The eerie silence that had settled over the team was interrupted by a visceral sound—humankind's response to the alien dialogue, now streaming into the abyss.
+
+The control room, once a fortress of solitude, erupted into an oasis of life. Lights flickered in tandem, echoing the symphony of interstellar communication. They stood together at the edge of discovery, facing the symmetry and discord of a universe unknown.
+
+"If we're right, we've just become Earth's first emissaries to a celestial congress we're only beginning to comprehend," Jordan's voice was somber, resonating with a mix of trepidation and honor. 
+
+The room filled with the resonance of human and alien minds converging, creating a new narrative within the fathomless expanse of existence. Paranormal Military Squad, once protectors of Earth's clandestine secrets, had now become the tether linking humanity to the cosmic fold.
+
+\*
+
+The underground command center of Dulce Base, once pulsing with covert operations, now resonated with the charge of an impending cosmic threshold. Encircled by banks of whirring machinery, each monitor flickered erratically with alien script that had occupied center stage in the lives of Alex Mercer, Jordan Hayes, Taylor Cruz, and Sam Rivera.
+
+Jordan's gaze didn’t flit for even a moment from the screens, where indiscernible alien messages ebbed and flowed like the tide. The ciphers and symbols cascaded down as they tweaked the algorithmic sliders. "This sequence here," Jordan began, voice both hushed and heavy, "it’s not just transmitting; it resonates—it's designed to be felt."
+
+The room took a collective breath, the remarkable implication hanging in the air like a careful revelation. Sam Rivera was the first to respond, their voice alive with ingenuity: "It's a form of communication stretching well beyond words. We need to respond in kind—the whole array of human expression might be at play here."
+
+Taylor's eyes remained fixed on the figures playing across the data sheets. "If that's the case," Taylor intoned pragmatically, "we must tread carefully. This is no longer just about being heard—it's about being understood."
+
+Alex watched his team, each a fulcrum of insight and expertise, and felt the solemnity of the role they were about to assume. "Then we'll ensure our message is clear and full. Our humanity is our strength in this dialogue," he declared, the depths of his experience fueling a commanding reassurance.
+
+The anticipation was palpable as the agents contemplated the vastness of their endeavor. They were not merely probing at the secrets of the planar cosmos—they were negotiating across the starry expanse, extending to distant intelligences the full spectrum of human curiosity and compassion.
+
+A symphony of beeping consoles orchestrated their next steps as they prepared to articulate their interplanetary overture. The rhythmic tapping of Jordan's keystrokes set the tempo for an undertaking that traversed beyond algorithms and encryption.
+
+The base withstood time and whispered secrets of its own, but none so grand as this moment of creation—an invitation to the universe that promised to echo through both the echoes of space and the annals of human history.
+
+## Chapter 12
+
+The underground facility of Dulce Base, once shrouded in silence and operational secrecy, now hummed with an energy that cradled the promise of cosmic revelation. Alex Mercer stood pensively by the central terminal, flanked by Dr. Jordan Hayes, Taylor Cruz, and Sam Rivera, each poised at the edge of a history-defining moment.
+
+Jordan's fingers ghosted across the console, tracing patterns of otherworldly origin. "The signal’s architecture is becoming more complex, resembling aspects of human cognition—recognition, learning, even... empathy?" they postulated with furrowed concern.
+
+Alex turned his gaze upon Jordan, his voice quiet but resolute, "Empathy could bridge galaxies. Let's harness this connection and proceed with cautious optimism."
+
+Taylor, ever the sober sentinel, projected a more pragmatic standpoint. "Empathy or not, we are duty-bound to assess the risk to humanity. Every new discovery warrants a measured response."
+
+The static hiss of communications equipment filled the air, its purpose now transformed into a dialogue with an intelligence beyond the stars. It was Sam, wide-eyed amid the myriad lights and switches, who broke the silence, "We have provisional confirmation of the signal’s intent—initiation. We’re being brought into a broader spectrum of cognizance."
+
+The chamber lay still for a heartbeat, the Paranormal Military Squad agents steeped in contemplation of the path unfurling before them—a path paved with possibilities of diplomacy or disruption, each step a venture further into the cosmic unknown.
+
+Alex stepped closer to the viewing monitors, each depicting alien symbols seemingly reaching out from the void. "Initiate the broadcast," he spoke with quiet command. "Our response will mark humanity’s readiness to partake in the wider conversation of conscious beings."
+
+Amidst the crackling air of expectation, the team wordlessly returned to their stations. They had transcended their roles as protectors of Earth's clandestine lore to become the harbingers of an interstellar parley that could change the existential course of life on their pale blue dot.
+
+The deep hum of the terminal emitted a signal—a testament to the uncanny reality that Earth was now actively partaking in an exchange not bound by gravity nor the limits of the solar wind.
+
+Here, in the depths of Dulce, a message from humanity woven from understanding and uncertainty was cast into the firmament, an epitheg of their desire to join the universal dialogue and discover their place among the constellations.
+
+\*
+
+The somber depths of the Dulce Base command center stood in stark counterpoint to the animated flurry of activity around the central comms array. Alex Mercer's silhouette loomed behind Dr. Jordan Hayes, who sat with a posture indicating laser focus on the decryption process. A quiet murmur of digital soundscape filled the space, subtly heightened by the anticipation of contact with an intelligence beyond the Earth.
+
+Jordan's voice was steady, betraying none of the extraordinary nature of their work, "Looking through the signal's pattern, it's evident we’re dealing with a form of intelligence—calculating, mirroring, possibly even understanding."
+
+Alex's reflection bounced off the darkened screens, his head nodding in silent affirmation. "We’re walking a delicate line. Our response should be thoughtful, measured. We’re ambassadors, not merely explorers."
+
+Taylor Cruz approached, arms folded, their words slicing through the din of careful keystrokes and soft whirrs, "If there’s even the slightest chance it understands, we can’t afford missteps. The language of the stars might be more absolute than ours."
+
+From another terminal, Sam Rivera brought youthful vigor to the conversation, "There’s rhythm in these patterns. If this is their way of reaching out, our reply should encapsulate all that we are—all that humanity stands for."
+
+Looking around at his team, Alex saw resolve etched on every face. The chamber, usually somber and echoing with the quiet steps of covert agents, now felt alive with the heartbeat of discovery. They were not just professionals operating in the gloom; they were a collective standing at the helm of a momentous journey.
+
+"Let’s begin," he said, returned by the resolve in his voice. "Every second counts." With that, they pressed forward, setting in motion a reply to a conversation billions of years in the making.
+
+The dance with an unseen partner commenced, each pulse they sent out a step taken with caution and hope. And as those digital pulses journeyed through the black sea of infinity, Earth, for perhaps the first time, joined a pan-galactic dialogue that whispered secrets of the cosmos—secrets that, until now, had been lost in the silent vastness of space.
+
+\*
+
+As the team stood in the centralized nerve center of Dulce's underground fortress, the solemn atmosphere was reverent, overseeing systems that engaged with an intelligence from the void. Alex's stance was contemplative as he gazed at Jordan Hayes, who presided over the console, the tension of the moment reaching a tactile fervor. Each rhythmic tap of Hayes's fingers on the keys was a foray into uncharted symphonies of contact.
+
+Observing Hayes unravel the dense alien encryption, Alex spoke, a diplomatic tenor underpinning his words, "Keep focused on the syntax, dissect its nuances. We're not just decoding signals; we're translating intentions."
+
+Without diverting from their task, Jordan acknowledged the insight. "Indeed, if their understanding of us is as deep as we hope, we're paving the way for dialogue far beyond our current realm."
+
+Taylor Cruz, near the rear of the room, provided a steady oversight. "As horizonless as our prospects may seem," Taylor intoned, "remain diligent. Complacency before alien cognition could spell catastrophe."
+
+Sam's youthful voice resonated with optimism, "Imagine—forming a rapport with a consciousness separate from our reality; we're drafting the bridge to stars alive with minds!"
+
+The sentiment hung for a moment before Alex gathered his conviction. "Dialogue is our vessel. We are not just agents of enigma; we are the threads that may weave a new cosmic relationship." His words seemed to reflect off the walls, reaching beyond the room's confines, a quiet yet resilient vow.
+
+Their task was titanic, stepping stones laid delicately into new territories of existence. The signal, once an esoteric strand in the echo of the universe, beckoned now with a clarity rocketing the complexity of thoughts from a distant order.
+
+Action by action, the Paranormal Military Squad team bridged the vast interstellar distances, their expertise and empathy casting a beacon of unity into frontiers of intelligence and knowledge. Their work, a partnership struck with an unseen cosmic congregation, each pulse sent and received a line in Earth's novitiate envoi to the cosmic shores.
+
+\*
+
+Under the stark, unforgiving lights of Dulce Base's underground command center, tension buzzed harder than the banks of supercomputers that lined the walls. Agent Alex Mercer leaned over the shoulder of Jordan Hayes, whose eyes were locked onto the display screen, where an incomprehensible series of alien symbols streamed past incessantly.
+
+“Any progress on the decryption?” Alex's voice was steady, a controlled presence necessary in the gravity of their undertaking. 
+
+Jordan tapped a key, pausing the flow of code, and leaned back with a deep sigh. "We've broken through another subset of the cipher. It's revealing... well, indications of a complex society, not unlike our own." His eyes met Alex's with an unspoken question that hung heavily between them—were they truly prepared for what they might find?
+
+Taylor Cruz strode into the room, a tightly coiled spring of ambition and authority, and peered at the screen. "Understand their society, and we may predict behavior. Remain expedient—we don't know how much time we have before the situation shifts." There was an edge of stark realism to Taylor's words, the underlying message clear: every revelation bore its own set of risks.
+
+Alex nodded thoughtfully, recognizing the validity of Cruz's caution. Turning to Sam, who was tinkering with a device that buzzed quietly on the table, he asked, “Sam, can your contraption get us any further?”
+
+Sam looked up with a smirk, a twinkle of mischief in their eye. “It’s not just any contraption, it’s potentially a direct line to their thoughts. Give me a moment more, and I'll have something for you.”
+
+The air ticked with electronic beeps and the rustling sound of the Paranormal Military Squad team at work. They were so close to peering into the intelligence of an alien race—a reality on the brink of dramatically expanding their understanding of the universe.
+
+The machinery whirred in response to Sam’s precise touches, and suddenly, the room filled with a low hum—something had changed, a signal had been successfully sent. The team held their breath as they listened. The sound that filled the room was unmistakable: a response, an alien voice filtered through the static of space and time.
+
+Alex exchanged a look of quiet triumph with Jordan. The breakthrough was monumental; they were no longer casting messages into the void but engaged in a dialogue—an exchange that marked the beginning of Operation: Dulce’s true unfolding. This was it, the first steps into an interstellar odyssey that demanded every ounce of their courage and wit.
+
+## Chapter 13
+
+Dr. Jordan Hayes shuffled a stack of papers, their eyes revealing a tinge of skepticism at Taylor Cruz's authoritarian performance. _Protocols_, Jordan thought, _are just the framework, the true challenges we're about to face lie well beyond the boundaries of any protocol._ They cleared their throat before speaking, tone cautious yet firm, "Let's remember, the unknown variables exceed the known. We should remain adaptive."
+
+A murmur of agreement echoed from Sam Rivera, who leaned forward, lacing their fingers together as if weaving a digital framework in the air before them, "Exactly, adaptability could be the key to interpreting the signal distortions and system malfunctions. We shouldn't discount the… erratic."
+
+Their words hung like an electric charge in the room, challenging Taylor's position with an inherent truth. Cruz’s jaw tightened almost imperceptibly, but the agent masked it with a small nod, conceding to the omnipresent threat of the unpredictable. 
+
+Alex glanced at Jordan, who never looked back, their gaze fixed instead on a distant point, as if envisioning the immense dark corridors they were soon to navigate in Dulce. Jordan was not one to embrace fantastical theories, but the air of cautious calculation betrayed a mind bracing for confrontation with the inexplicable, an internal battle between the evidence of their research and the calculating skepticism that kept them alive in their field.
+
+The meeting adjourned with no further comments, the team members quietly retreading the paths to their personal preparations. Alex, trailing slightly behind, observed the others. _The cautious reserve Jordan wears like armor doesn't fool me_, he thought, _their analytical mind sees the patterns I do. And that's worth more than protocol. That's the connection we need to survive this._
+
+As the agents dispersed into the labyrinth of the facility, lost in their thoughts and preparations, the base's halogen lights flickered, a brief and unnoticed harbingers of the darkness to come. 
+
+\*
+
+The gritty, wind-tossed surface of New Mexico, just above the cavernous domain of Dulce Base, offered no shelter from the burgeoning storm—the scouring sands an earthly reminder of chaos theories in motion. Far beneath, a similar maelstrom brewed within the confines of the command center, as Paranormal Military Squad's handpicked squad stood poised for potential enormities of contact.
+
+Ruffling through printed transmission logs, Jordan Hayes dialed the focus of their analytical prowess onto the emerging pattern of signals crisscrossing between Earth and the unfathomable. "Our responses so far have echoed their complexity, but the real divergence is yet to come," Jordan remarked stoically, the calm belying the mounting surge of adrenaline for the revelation ahead.
+
+Alex Mercer's figure, a silhouette sharpened by the purpose, loomed at the periphery of the monitors' sickly glow. "Indeed," he assented, "The echoes are the easy part. It will be the introduction of our own, human variable that truly begins our dialogue."
+
+Taylor Cruz, windowless command center notwithstanding, appeared as though they could feel the tempest above. Their eyes never left the monitors as they unspooled their hard wisdom. "For all our advances, we find ourselves deciphering the swings and nuances of an interstellar pendulum. Predict its arc, and we may preempt the gravity of its message."
+
+Amidst a chorus of bleeps and static, Sam Rivera's tech-clad hands moved rhythmically, their spirited approach to unruly streams of data bordering an intimate dance with entropy. "Entropy that leads to discovery," Sam mused, responding to Taylor's metaphor. "Each step into the unknown is a step away from precedent."
+
+Alex, drawing near Jordan, spoke again, his voice now a thread woven through the very fabric of their operations. "Let's be the cartographers of this new territory. Our initial shades of understanding could color the cosmos for generations to come."
+
+Their gazes fell upon a screen as the latest transmission painted its digital blooms of alien script across the black. This time, the pattern wavered in an almost imperceptible fashion, a modification that whispered of active, alien thought awaiting their next move. A hush enveloped the Paranormal Military Squad ensemble, the gravity of the pathogen undeniable. They were about to issue a reply, one poised to reshape the very concept of humanity's outreach into the cosmos.
+
+The New Mexico desert's secrets were infamous, its storms a mere prelude to the revelations that the team—united in purpose—would unleash upon the world. The howling winds outside found their counterpart in the newfound resolve within, as Dulce's stalwart guardians readied themselves to send forth humanity's retort to the echoes from beyond.
+
+\*
+
+The cavernous control room, deeply entrenched beneath the desolate New Mexico terrain, held the Paranormal Military Squad team in intense focus; an island of calm amid the storm of cosmic dialectics. Dr. Jordan Hayes worked methodically, every keystroke an intricate step in their tenuous cosmic ballet. Suddenly, they paused, a signal pattern resonating from the screen. "This is new; it's...inviting. It’s as if the signal is not just calling to us but weaving its intelligence through ours."
+
+Alex Mercer scrutinized the shift in data. "A confluence of minds, then. If we're to meet them halfway, Jordan, our reply must be both innovative and discerning," he proposed, a glimmer of profound curiosity behind his authoritative demeanor.
+
+Taylor Cruz, whose sharp eyes missed nothing, nodded from beside a secondary panel. "Innovative, yes, but also defensive. This interaction is a razor’s edge, and we cannot afford to bleed before the unknown," Taylor reminded them, the metaphor a stark warning of potential dangers.
+
+Against the backdrop of their conversation, Sam Rivera’s youthful optimism cut through the tension. "If they’re weaving through our intellect, then we've achieved something beyond first contact—we're at the genesis of interstellar symbiosis," they posited with a mix of reverence and excitement.
+
+Alex returned Sam’s smile with his own, tempered and faint, as he turned back to the task at hand. The magnitude of their mission extended beyond the fabric of the universe, an exploration into the threads that connected sentient beings across the vast expanse. “Let’s reply with our own woven tapestry of thought—delicate, but deliberate.”
+
+With renewed determination, the room came alive with an undercurrent of anticipation, its occupants charged with the potential of forging an alliance with the cosmos. Paranormal Military Squad's finest were no longer merely soldiers and scientists; they had become pioneers on the vanguard of humanity’s greatest odyssey.
+
+The New Mexican sands above, impassive to the change brewing underneath, stood as silent sentinels as Earth's emissaries crafted their response. A response that, composed with care and imbued with humanity's essence, reached into the void, connecting with an otherworldly intelligence that awaited their harmony in the cosmic conversation.
+
+## Chapter 14
+
+The command center of Dulce Base lay shrouded in shadows that seemed to claw at the edges of the dimly lit array of screens and consoles. Alex Mercer, focused and unwavering, watched as Dr. Jordan Hayes parsed the latest string of alien signals—a symphony of otherworldly communications that threatened to either enlighten or confound.
+
+"We’re encountering a paradigm shift with every transmission," Jordan Hayes murmured, the pulsing glow of the monitor painting their features with an almost spectral hue. "This signal... it’s evolving, becoming denser, more sophisticated. As if it's growing alongside us—tandem evolution."
+
+The air was electric, charged with the raw potential of uncharted discovery and laden with the gravity of existential risk. Taylor Cruz, who always seemed here to mold such gravity into actionable strategies, stepped forward. "We must contain this evolution within parameters we can manage. We cannot be bystanders to an uncontrolled ascent of intelligence."
+
+Sam Rivera, the youngest of the cohort, worked feverishly at their station. "It's not just intelligence—these signals have rhythm, a kind of music suggesting not just evolution, but a dance! We're being invited to partake in the cosmos's ballet!" they exclaimed, a touch of youthful exuberance breaking through the solemnity.
+
+Alex turned, facing his team, the stoic mask of command tempered by the perceptible flicker of awe in his gaze. "Let this dance then be our dialogue. We will match their steps with prudent but daring measures—our humanity as our guide."
+
+In the ensuing hours, the Paranormal Military Squad team forged a rhythm of their own, their collective expertise a beacon piercing through the fog of the unknown. The signal, increasingly intricate and seemingly conscious, now demanded not just observation but participation, an interstellar pas de deux that hummed with the promise and peril of first contact.
+
+Before them, the communications interface flickered to life with a received transmission—a resonant hum that seemed to vibrate through the very foundations of the base. They had successfully established a back-and-forth with whatever intelligence lay hidden among the stars. Every subsequent note they struck within the cosmic ether would come to define humanity's place within the galactic community—heralds of Earth's grand entrance into a universe far less silent than once perceived. 
+
+\*
+
+In the concrete belly of Dulce Base, dimly lit by the jagged dance of fluorescent lights above, Sam Rivera perched on the edge of their seat, their eager fingers fluttering across an ancient keyboard. The stark, cold room—reminiscent of a time when covert operations and unspoken dread ruled supreme—now housed a peculiar blend of old-world machinery and sleek, modern interfaces.
+
+Alex Mercer, standing steadfast like a bridge between the enigmatic past and the unfathomable present, watched on. In his eyes flashed the foreboding excitement of change. "Sam," he started, his voice steadfast, "the patterns in these signals, what do they tell us about the nature of our... guest?"
+
+Sam's eyes glimmered with something akin to thrill—or was it trepidation? "It's like we're mirroring each other, evolving together through this.. dialogue. Like it knows us, understands us, and it's… learning."
+
+Jordan Hayes, preoccupied at a nearby console, chimed in without lifting their gaze. "It's a dialogue that transcends mere words, Alex. We're being woven into a narrative far grander than the sum of our known sciences." 
+
+Taylor Cruz, arms crossed, wore the heavy mantle of their skepticism comfortably. "Keep theorizing," they interjected crisply, "but remember the grounding reality of what we are part of here. This contact is a blade that cuts both ways."
+
+In this cavern of history, voices both human and inhuman whispered secrets to those brave enough to listen. Each member present understood the gravity that pulled at their feet; no longer were they mere mortals shackled to their terrestrial plane. The digital pings and encrypted calls resonated with an implication of a cosmic agenda that would not be ignored.
+
+Jordan's fingers paused, hovering in hesitation. What ripple might the next keystroke send through the fabric of known existence? It was a step into the ballet of the infinite, where the Paranormal Military Squad team played their part in the waltz of wonders with an audience of stars.
+
+\*
+
+## Chapter 15
+
+In the clandestine hush of Dulce Base's subterranean command center, the Paranormal Military Squad team had become a crucible for interstellar communication. Dr. Jordan Hayes' gaze lingered on the screen as they navigated through the convolution of alien code. Each character held the potential to unravel a new dimension of contact, and with Sam Rivera's keen interjection, they were crafting humanity's inaugural cosmological discourse.
+
+Alex Mercer peered over Jordan's shoulder, calculating the implications of every visual nuance that cascaded across the monitor. "Look for consistency—any repeating motifs could signal a willingness to engage. We're drafting history with each exchange," he remarked, aware of the delicate balance between forging a bond and exposing vulnerabilities.
+
+Taylor Cruz, stoic and enigmatic, observed the interplay from the threshold, a silhouette against the machinery's luminescence. "Remember, while we seek common ground, the foundation we stand upon remains Terra firma. Caution must temper our curiosity," they stated, their voice an anchor amidst the current of excitement.
+
+The command center buzzed with energy, rivaled only by the tempest overhead that concealed their operation. Sam, with swift dexterity, navigated the communications relay. "Their signals resonate almost musically. It's as if they're composing a symphony, and we've been handed the baton to conduct the next movement," they offered, imbuing the scenario with a blend of scientific adventurism and poetic license.
+
+Amidst the whirring servers and the occasional flicker of emergency lighting, the essence of their mission transcended mere reconnaissance. They were humanity's elected envoys at the brink of a celestial alliance—or confrontation—with an audience as vast as the universe itself.
+
+Alex stepped back, his profile etched by the chamber's artificial day. "Then let's ensure our contribution to this symphony harmonizes with theirs. It's time for humanity's voice to rise and be counted among the cosmic ensemble."
+
+Under his directive, the Paranormal Military Squad team initiated their calculated response, weaving thoughts and theories into a digital overture aimed at the heart of alien intellect. As the digital stream punctured the endless night, each member of this clandestine group was acutely aware of the irrevocable step they undertook—bringing Earth into the pantheon of galactic entities designed to converse among the stars.
+
+\*
+
+Clusters of high-tech equipment bathed the Dulce underground command center in an eerie blue light. Sam Rivera's fingers flew across the keyboard, navigating an elaborate network of alien patterns. The very air seemed to pulse with the ebb and flow of cryptic communications reaching across the stars. "I've got something!" Sam's announcement tore through the focus in the room, drawing every pair of eyes to the torrent of symbols unraveling on the screen.
+
+With the pacing of a seasoned officer gauging the moment before action, Alex Mercer approached, his calm demeanor belying an acute awareness of the precipice on which they now stood. "Define 'something," Alex prompted, reinforcing the need for clarity amidst the extraordinary.
+
+"It's repeating—a sequence that’s evolved with each interaction, almost as if it's... singing," Sam theorized, the awe in their voice reflecting the potential magnitude of their discovery.
+
+Jordan Hayes interjected from across the console, their eyes not leaving the display as they absorbed the new data. "A cosmic vocalization, then," they mused, intrigued. "A singularity in the signal that might represent a point of reference for both parties."
+
+Taylor Cruz, hands clasped behind their back, regarded the unfolding scene, their own calculations etching lines of concern onto their stern visage. "Or a beacon—a homing tune, calling out to something we might not be ready to greet," Taylor offered, voicing the group's unspoken apprehension.
+
+Alex's eyes locked on the screen, taking in the scope of what they were attempting to interpret. Drawing a deep breath, Alex gave a slight nod. "If this is their song, then let us respond with ours. We've come this far by mirroring their signals, now let's engage in an interstellar duet, and see where the music leads us."
+
+With the expectation of the significant achieving a crescendo, the members of Paranormal Military Squad huddled over their equipment—sages at the threshold of a potentially world-altering communion. The strange harmonies that reverberated through the command center suggested that their interlocutors were poised, waiting, perhaps even eager, for Earth's chorus to join the symphony.
+
+As the team initiated their reply, weaving humanity's own intricate melody into the vast cosmic dialogue, they each felt a profound change within—an evolution of purpose. They were not just messengers or investigators; they had become co-composers in a galactic orchestra, with the universe itself as their witness and concert hall.
+
+With the exchange of harmonious signals crawling through the vacuum of space, the Paranormal Military Squad operatives found themselves part of a bridging of minds—a realization that out there, among the vast arrays of stars and planets, harmony was the true universal language.
+
+\*
+
+The dim glow of monitors cast an otherworldly ambiance upon Dulce Base's command center, where Paranormal Military Squad's chosen stood huddled over their instruments, suspended at history's threshold. Codes—alien in origin and nature—were being deciphered by Dr. Jordan Hayes, whose countenance bore the marks of deep concentration.
+
+Alex Mercer, the bedrock upon which their team's resolve was founded, leaned in with an eagerness tempered by his chain of command. "Jordan, we've invested our expertise into comprehending their patterns, but now we must also endeavor to understand their intent," he urged, his voice bearing the gravitas of their mission's potential consequences.
+
+At another console, Sam Rivera's youth did not betray their crucial role in the operation. With eyes alight, they mirrored the rapid computing before them. "There's emotion here—complex, profound even. This isn't just the output of a cold machine; it's...sentience," Sam whispered, nearly drowned by the mechanical chorus around them.
+
+Jordan, without shifting focus from their work, replied, "It's a sentience that—should we succeed here—ushers us into a new era of existence. The cadence of these signals," they tapped the screen with a flourish, "could well be the heartbeat of this new dawn."
+
+Taylor Cruz paused beside Mercer, their expression unreadable beneath the sterile light. "And as it beats, we must gauge whether its rhythm bodes well for us, or spells our missteps. Courage must not blind us to the hazards intrinsic to such contact," Taylor cautioned, the sentinel within them ever alert.
+
+Alex nodded, a gesture that carried the weight of responsibility and a silent command: proceed, but with circumspection. They were not merely decoding a message; they were interpreting a dialogue across the celestial divide.
+
+The room fell into a rhythm akin to a well-conducted ensemble. Each member's expertise proved a critical note in the unfolding symphony. Their actions were now more than mere research or defense; they were the tentative overtures of humankind reaching out to grasp the vast unknown.
+
+Textures of sound meshed with the light from countless computations, the palpable anticipation of the agents at the edge of discovery cresting with an awareness that their work would reshape future chronicles. And when the response finally came—a signal piercing the deafening silence of uncertainty—all within Dulce's confines understood: the dawn of an interstellar continuum had just begun to break.
+
+\*
+
+In the sterile hum and flickering lights of Dulce Base's command center, the Paranormal Military Squad team stood as humanity's vanguard, verging on the brim of an intergalactic abyss. Dr. Jordan Hayes, analytical edges sharp, deciphered extraterrestrial patterns that bled across screens in enigmatic cascades—a daunting mosaic of potential threats and untapped wisdom.
+
+Agent Alex Mercer, the embodiment of focus and a steadfast nerve, observed the unfolding digital drama with the gravitas due a historic first contact. "Let the data weave its narrative, Jordan," he instructed, a moderate undertone of exhilaration within his command. "It's encoding more than information—it's outlining civilization."
+
+Jordan absorbed the directive, their gaze unflinching from the screens, feeling the weight of their next move. "The nuances here are extraordinary," they acknowledged. "It paints a picture of a culture steeped in complexities we're only starting to fathom.”
+
+Taylor Cruz, stoicism personified yet not immune to the situation's gravity, chimed in. "Understand it, but guard against it," they cautioned, bringing a sober prudence to the room. "This culture, however advanced, remains an unknown quantity—an ocean of wonders and darkness with uncertain tides."
+
+Sam Rivera, a visual contrast with wide eyes and restless hands, represented the other side of the room — intrigue and optimism against the drawn swords of precaution. “Think of it,” they proposed, voice bouncing with a rebellious upbeat timbre, “as the first act of a play written in constellations. We're setting the stage for a galactic narrative.”
+
+Each team member, in their way, was both actor and scribe in this moment of tense pageantry. Heavy with the presence of risk, the command center had become not just a room of computers and glass panels but a theater for performing the elaborate choreography of contact.
+
+Bound by resolve and curiosity, they proceeded, each data entry a trembling step onto the cosmic stage. And like all cautious pioneers edging into fertile but unnavigated lands, they understood: as they mapped the heavens, they were simultaneously mapping the furthest reaches of their own existential horizons.
+
diff --git a/graphrag/tests/fixtures/text/settings.yml b/graphrag/tests/fixtures/text/settings.yml
new file mode 100644
index 0000000000000000000000000000000000000000..f5d6e2b591705d18b45be8152cd9b15ebb88e62c
--- /dev/null
+++ b/graphrag/tests/fixtures/text/settings.yml
@@ -0,0 +1,14 @@
+claim_extraction:
+  enabled: true
+
+embeddings:
+  vector_store:
+    type: "azure_ai_search"
+    url: ${AZURE_AI_SEARCH_URL_ENDPOINT}
+    api_key: ${AZURE_AI_SEARCH_API_KEY}
+    collection_name: "simple_text_ci"
+    query_collection_name: "simple_text_ci_query"
+    store_in_table: True
+
+    entity_name_description:
+      title_column: "name"
diff --git a/graphrag/tests/integration/__init__.py b/graphrag/tests/integration/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/integration/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/integration/_pipeline/__init__.py b/graphrag/tests/integration/_pipeline/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/integration/_pipeline/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/integration/_pipeline/megapipeline.yml b/graphrag/tests/integration/_pipeline/megapipeline.yml
new file mode 100644
index 0000000000000000000000000000000000000000..bc48af0d713cbb2020bd4fa29975a722c6904d28
--- /dev/null
+++ b/graphrag/tests/integration/_pipeline/megapipeline.yml
@@ -0,0 +1,72 @@
+input:
+  file_type: text
+  base_dir: ../../fixtures/min-csv
+  file_pattern: .*\.txt$
+
+storage:
+  type: memory
+
+cache:
+  type: memory
+
+workflows:
+  - name: create_base_text_units
+    config:
+      text_chunk:
+        strategy:
+          type: sentence
+
+      # Just lump everything together
+      chunk_by: []
+
+  - name: create_base_extracted_entities
+    config:
+      graphml_snapshot: True
+      entity_extract:
+        strategy:
+          type: nltk
+
+  - name: create_base_entity_graph
+    config:
+      graphml_snapshot: True
+      embed_graph_enabled: True
+      cluster_graph:
+        strategy:
+          type: leiden
+          verbose: True
+
+  - name: create_final_nodes
+
+  - name: create_base_documents
+
+  # - name: create_final_community_reports
+  #   config:
+  #     create_community_reports:
+  #       <<: *llm_parallel_config
+  #       strategy:
+  #         type: graph_intelligence
+  #         llm: *llm_config
+
+  - name: create_final_communities
+  - name: create_final_text_units
+    config:
+      text_embed:
+        strategy:
+          type: mock
+
+  - name: create_final_entities
+    config:
+      text_embed:
+        strategy:
+          type: mock
+
+  - name: create_final_documents
+    config:
+      text_embed:
+        strategy:
+          type: mock
+  - name: create_final_relationships
+    config:
+      text_embed:
+        strategy:
+          type: mock
diff --git a/graphrag/tests/integration/_pipeline/test_run.py b/graphrag/tests/integration/_pipeline/test_run.py
new file mode 100644
index 0000000000000000000000000000000000000000..5eba5de80d83b133816c13bd5457698bd1708f4a
--- /dev/null
+++ b/graphrag/tests/integration/_pipeline/test_run.py
@@ -0,0 +1,75 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import logging
+import os
+import unittest
+
+from graphrag.index.run import run_pipeline_with_config
+from graphrag.index.typing import PipelineRunResult
+
+log = logging.getLogger(__name__)
+
+
+class TestRun(unittest.IsolatedAsyncioTestCase):
+    async def test_megapipeline(self):
+        pipeline_path = os.path.join(
+            os.path.dirname(os.path.abspath(__file__)),
+            "./megapipeline.yml",
+        )
+        pipeline_result = [gen async for gen in run_pipeline_with_config(pipeline_path)]
+
+        errors = []
+        for result in pipeline_result:
+            if result.errors is not None and len(result.errors) > 0:
+                errors.extend(result.errors)
+
+        if len(errors) > 0:
+            print("Errors: ", errors)
+        assert len(errors) == 0, "received errors\n!" + "\n".join(errors)
+
+        self._assert_text_units_and_entities_reference_each_other(pipeline_result)
+
+    def _assert_text_units_and_entities_reference_each_other(
+        self, pipeline_result: list[PipelineRunResult]
+    ):
+        text_unit_df = next(
+            filter(lambda x: x.workflow == "create_final_text_units", pipeline_result)
+        ).result
+        entity_df = next(
+            filter(lambda x: x.workflow == "create_final_entities", pipeline_result)
+        ).result
+
+        assert text_unit_df is not None, "Text unit dataframe should not be None"
+        assert entity_df is not None, "Entity dataframe should not be None"
+
+        # Get around typing issues
+        if text_unit_df is None or entity_df is None:
+            return
+
+        assert len(text_unit_df) > 0, "Text unit dataframe should not be empty"
+        assert len(entity_df) > 0, "Entity dataframe should not be empty"
+
+        text_unit_entity_map = {}
+        log.info("text_unit_df %s", text_unit_df.columns)
+
+        for _, row in text_unit_df.iterrows():
+            values = row.get("entity_ids", [])
+            text_unit_entity_map[row["id"]] = set([] if values is None else values)
+
+        entity_text_unit_map = {}
+        for _, row in entity_df.iterrows():
+            # ALL entities should have text units
+            values = row.get("text_unit_ids", [])
+            entity_text_unit_map[row["id"]] = set([] if values is None else values)
+
+        text_unit_ids = set(text_unit_entity_map.keys())
+        entity_ids = set(entity_text_unit_map.keys())
+
+        for text_unit_id, text_unit_entities in text_unit_entity_map.items():
+            assert text_unit_entities.issubset(
+                entity_ids
+            ), f"Text unit {text_unit_id} has entities {text_unit_entities} that are not in the entity set"
+        for entity_id, entity_text_units in entity_text_unit_map.items():
+            assert entity_text_units.issubset(
+                text_unit_ids
+            ), f"Entity {entity_id} has text units {entity_text_units} that are not in the text unit set"
diff --git a/graphrag/tests/notebook/__init__.py b/graphrag/tests/notebook/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/notebook/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/notebook/test_notebooks.py b/graphrag/tests/notebook/test_notebooks.py
new file mode 100644
index 0000000000000000000000000000000000000000..9c1e789c2f95601569620c9347153853f19b7524
--- /dev/null
+++ b/graphrag/tests/notebook/test_notebooks.py
@@ -0,0 +1,48 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import subprocess
+import tempfile
+from pathlib import Path
+
+import nbformat
+import pytest
+
+DOCS_PATH = Path("../../docsite")
+
+notebooks_list = list(DOCS_PATH.rglob("*.ipynb"))
+
+
+def _notebook_run(filepath: Path):
+    """Execute a notebook via nbconvert and collect output.
+    :returns execution errors
+    """
+    with tempfile.NamedTemporaryFile(suffix=".ipynb") as temp_file:
+        args = [
+            "jupyter",
+            "nbconvert",
+            "--to",
+            "notebook",
+            "--execute",
+            "-y",
+            "--no-prompt",
+            "--output",
+            temp_file.name,
+            filepath.absolute().as_posix(),
+        ]
+        subprocess.check_call(args)
+
+        temp_file.seek(0)
+        nb = nbformat.read(temp_file, nbformat.current_nbformat)
+
+    return [
+        output
+        for cell in nb.cells
+        if "outputs" in cell
+        for output in cell["outputs"]
+        if output.output_type == "error"
+    ]
+
+
+@pytest.mark.parametrize("notebook_path", notebooks_list)
+def test_notebook(notebook_path: Path):
+    assert _notebook_run(notebook_path) == []
diff --git a/graphrag/tests/smoke/__init__.py b/graphrag/tests/smoke/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/smoke/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/smoke/test_fixtures.py b/graphrag/tests/smoke/test_fixtures.py
new file mode 100644
index 0000000000000000000000000000000000000000..b114b8291a27a0cac328007c4fdba3186010deb5
--- /dev/null
+++ b/graphrag/tests/smoke/test_fixtures.py
@@ -0,0 +1,302 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import asyncio
+import json
+import logging
+import os
+import shutil
+import subprocess
+from collections.abc import Callable
+from functools import wraps
+from pathlib import Path
+from typing import Any, ClassVar
+from unittest import mock
+
+import pandas as pd
+import pytest
+
+from graphrag.index.storage.blob_pipeline_storage import BlobPipelineStorage
+
+log = logging.getLogger(__name__)
+
+debug = os.environ.get("DEBUG") is not None
+gh_pages = os.environ.get("GH_PAGES") is not None
+
+# cspell:disable-next-line well-known-key
+WELL_KNOWN_AZURITE_CONNECTION_STRING = "DefaultEndpointsProtocol=http;AccountName=devstoreaccount1;AccountKey=Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==;BlobEndpoint=http://127.0.0.1:10000/devstoreaccount1"
+
+
+def _load_fixtures():
+    """Load all fixtures from the tests/data folder."""
+    params = []
+    fixtures_path = Path("./tests/fixtures/")
+    # use the min-csv smoke test to hydrate the docsite parquet artifacts (see gh-pages.yml)
+    subfolders = ["min-csv"] if gh_pages else sorted(os.listdir(fixtures_path))
+
+    for subfolder in subfolders:
+        if not os.path.isdir(fixtures_path / subfolder):
+            continue
+
+        config_file = fixtures_path / subfolder / "config.json"
+        with config_file.open() as f:
+            params.append((subfolder, json.load(f)))
+
+    return params
+
+
+def pytest_generate_tests(metafunc):
+    """Generate tests for all test functions in this module."""
+    run_slow = metafunc.config.getoption("run_slow")
+    configs = metafunc.cls.params[metafunc.function.__name__]
+
+    if not run_slow:
+        # Only run tests that are not marked as slow
+        configs = [config for config in configs if not config[1].get("slow", False)]
+
+    funcarglist = [params[1] for params in configs]
+    id_list = [params[0] for params in configs]
+
+    argnames = sorted(arg for arg in funcarglist[0] if arg != "slow")
+    metafunc.parametrize(
+        argnames,
+        [[funcargs[name] for name in argnames] for funcargs in funcarglist],
+        ids=id_list,
+    )
+
+
+def cleanup(skip: bool = False):
+    """Decorator to cleanup the output and cache folders after each test."""
+
+    def decorator(func):
+        @wraps(func)
+        def wrapper(*args, **kwargs):
+            try:
+                return func(*args, **kwargs)
+            except AssertionError:
+                raise
+            finally:
+                if not skip:
+                    root = Path(kwargs["input_path"])
+                    shutil.rmtree(root / "output", ignore_errors=True)
+                    shutil.rmtree(root / "cache", ignore_errors=True)
+
+        return wrapper
+
+    return decorator
+
+
+async def prepare_azurite_data(input_path: str, azure: dict) -> Callable[[], None]:
+    """Prepare the data for the Azurite tests."""
+    input_container = azure["input_container"]
+    input_base_dir = azure.get("input_base_dir")
+
+    root = Path(input_path)
+    input_storage = BlobPipelineStorage(
+        connection_string=WELL_KNOWN_AZURITE_CONNECTION_STRING,
+        container_name=input_container,
+    )
+    # Bounce the container if it exists to clear out old run data
+    input_storage.delete_container()
+    input_storage.create_container()
+
+    # Upload data files
+    txt_files = list((root / "input").glob("*.txt"))
+    csv_files = list((root / "input").glob("*.csv"))
+    data_files = txt_files + csv_files
+    for data_file in data_files:
+        with data_file.open(encoding="utf8") as f:
+            text = f.read()
+        file_path = (
+            str(Path(input_base_dir) / data_file.name)
+            if input_base_dir
+            else data_file.name
+        )
+        await input_storage.set(file_path, text, encoding="utf-8")
+
+    return lambda: input_storage.delete_container()
+
+
+class TestIndexer:
+    params: ClassVar[dict[str, list[tuple[str, dict[str, Any]]]]] = {
+        "test_fixture": _load_fixtures()
+    }
+
+    def __run_indexer(
+        self,
+        root: Path,
+        input_file_type: str,
+    ):
+        command = [
+            "poetry",
+            "run",
+            "poe",
+            "index",
+            "--verbose" if debug else None,
+            "--root",
+            root.absolute().as_posix(),
+            "--reporter",
+            "print",
+        ]
+        command = [arg for arg in command if arg]
+        log.info("running command ", " ".join(command))
+        completion = subprocess.run(
+            command, env={**os.environ, "GRAPHRAG_INPUT_FILE_TYPE": input_file_type}
+        )
+        assert (
+            completion.returncode == 0
+        ), f"Indexer failed with return code: {completion.returncode}"
+
+    def __assert_indexer_outputs(
+        self, root: Path, workflow_config: dict[str, dict[str, Any]]
+    ):
+        outputs_path = root / "output"
+        output_entries = list(outputs_path.iterdir())
+        # Sort the output folders by creation time, most recent
+        output_entries.sort(key=lambda entry: entry.stat().st_ctime, reverse=True)
+
+        if not debug:
+            assert (
+                len(output_entries) == 1
+            ), f"Expected one output folder, found {len(output_entries)}"
+
+        output_path = output_entries[0]
+        assert output_path.exists(), "output folder does not exist"
+
+        artifacts = output_path / "artifacts"
+        assert artifacts.exists(), "artifact folder does not exist"
+
+        # Check stats for all workflow
+        with (artifacts / "stats.json").open() as f:
+            stats = json.load(f)
+
+        # Check all workflows run
+        expected_workflows = set(workflow_config.keys())
+        workflows = set(stats["workflows"].keys())
+        assert (
+            workflows == expected_workflows
+        ), f"Workflows missing from stats.json: {expected_workflows - workflows}. Unexpected workflows in stats.json: {workflows - expected_workflows}"
+
+        # [OPTIONAL] Check subworkflows
+        for workflow in expected_workflows:
+            if "subworkflows" in workflow_config[workflow]:
+                # Check number of subworkflows
+                subworkflows = stats["workflows"][workflow]
+                expected_subworkflows = workflow_config[workflow].get(
+                    "subworkflows", None
+                )
+                if expected_subworkflows:
+                    assert (
+                        len(subworkflows) - 1 == expected_subworkflows
+                    ), f"Expected {expected_subworkflows} subworkflows, found: {len(subworkflows) - 1} for workflow: {workflow}: [{subworkflows}]"
+
+                # Check max runtime
+                max_runtime = workflow_config[workflow].get("max_runtime", None)
+                if max_runtime:
+                    assert (
+                        stats["workflows"][workflow]["overall"] <= max_runtime
+                    ), f"Expected max runtime of {max_runtime}, found: {stats['workflows'][workflow]['overall']} for workflow: {workflow}"
+
+        # Check artifacts
+        artifact_files = os.listdir(artifacts)
+        assert (
+            len(artifact_files) == len(expected_workflows) + 1
+        ), f"Expected {len(expected_workflows) + 1} artifacts, found: {len(artifact_files)}"
+
+        for artifact in artifact_files:
+            if artifact.endswith(".parquet"):
+                output_df = pd.read_parquet(artifacts / artifact)
+                artifact_name = artifact.split(".")[0]
+                workflow = workflow_config[artifact_name]
+
+                # Check number of rows between range
+                assert (
+                    workflow["row_range"][0]
+                    <= len(output_df)
+                    <= workflow["row_range"][1]
+                ), f"Expected between {workflow['row_range'][0]} and {workflow['row_range'][1]}, found: {len(output_df)} for file: {artifact}"
+
+                # Get non-nan rows
+                nan_df = output_df.loc[
+                    :, ~output_df.columns.isin(workflow.get("nan_allowed_columns", []))
+                ]
+                nan_df = nan_df[nan_df.isna().any(axis=1)]
+                assert (
+                    len(nan_df) == 0
+                ), f"Found {len(nan_df)} rows with NaN values for file: {artifact} on columns: {nan_df.columns[nan_df.isna().any()].tolist()}"
+
+    def __run_query(self, root: Path, query_config: dict[str, str]):
+        command = [
+            "poetry",
+            "run",
+            "poe",
+            "query",
+            "--root",
+            root.absolute().as_posix(),
+            "--method",
+            query_config["method"],
+            "--community_level",
+            str(query_config.get("community_level", 2)),
+            query_config["query"],
+        ]
+
+        log.info("running command ", " ".join(command))
+        return subprocess.run(command, capture_output=True, text=True)
+
+    @cleanup(skip=debug)
+    @mock.patch.dict(
+        os.environ,
+        {
+            **os.environ,
+            "BLOB_STORAGE_CONNECTION_STRING": os.getenv(
+                "GRAPHRAG_CACHE_CONNECTION_STRING", WELL_KNOWN_AZURITE_CONNECTION_STRING
+            ),
+            "LOCAL_BLOB_STORAGE_CONNECTION_STRING": WELL_KNOWN_AZURITE_CONNECTION_STRING,
+            "GRAPHRAG_CHUNK_SIZE": "1200",
+            "GRAPHRAG_CHUNK_OVERLAP": "0",
+            "AZURE_AI_SEARCH_URL_ENDPOINT": os.getenv("AZURE_AI_SEARCH_URL_ENDPOINT"),
+            "AZURE_AI_SEARCH_API_KEY": os.getenv("AZURE_AI_SEARCH_API_KEY"),
+        },
+        clear=True,
+    )
+    @pytest.mark.timeout(600)  # Extend the timeout to 600 seconds (10 minutes)
+    def test_fixture(
+        self,
+        input_path: str,
+        input_file_type: str,
+        workflow_config: dict[str, dict[str, Any]],
+        query_config: list[dict[str, str]],
+    ):
+        if workflow_config.get("skip", False):
+            print(f"skipping smoke test {input_path})")
+            return
+
+        azure = workflow_config.get("azure")
+        root = Path(input_path)
+        dispose = None
+        if azure is not None:
+            dispose = asyncio.run(prepare_azurite_data(input_path, azure))
+
+        print("running indexer")
+        self.__run_indexer(root, input_file_type)
+        print("indexer complete")
+
+        if dispose is not None:
+            dispose()
+
+        if not workflow_config.get("skip_assert", False):
+            print("performing dataset assertions")
+            self.__assert_indexer_outputs(root, workflow_config)
+
+        print("running queries")
+        for query in query_config:
+            result = self.__run_query(root, query)
+            print(f"Query: {query}\nResponse: {result.stdout}")
+
+            # Check stderr because lancedb logs path creating as WARN which leads to false negatives
+            stderror = (
+                result.stderr if "No existing dataset at" not in result.stderr else ""
+            )
+
+            assert stderror == "", f"Query failed with error: {stderror}"
+            assert result.stdout is not None, "Query returned no output"
+            assert len(result.stdout) > 0, "Query returned empty output"
diff --git a/graphrag/tests/unit/__init__.py b/graphrag/tests/unit/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/unit/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/unit/config/__init__.py b/graphrag/tests/unit/config/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/unit/config/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/unit/config/prompt-a.txt b/graphrag/tests/unit/config/prompt-a.txt
new file mode 100644
index 0000000000000000000000000000000000000000..af744d0eb068432d2651a9cea6f5e72152b599cb
--- /dev/null
+++ b/graphrag/tests/unit/config/prompt-a.txt
@@ -0,0 +1 @@
+Hello, World! A
\ No newline at end of file
diff --git a/graphrag/tests/unit/config/prompt-b.txt b/graphrag/tests/unit/config/prompt-b.txt
new file mode 100644
index 0000000000000000000000000000000000000000..2e12b140adf70d037deb8846a8161e4a49c119aa
--- /dev/null
+++ b/graphrag/tests/unit/config/prompt-b.txt
@@ -0,0 +1 @@
+Hello, World! B
\ No newline at end of file
diff --git a/graphrag/tests/unit/config/prompt-c.txt b/graphrag/tests/unit/config/prompt-c.txt
new file mode 100644
index 0000000000000000000000000000000000000000..f55e9771a0b31a620325464f39f55128e3d9a10f
--- /dev/null
+++ b/graphrag/tests/unit/config/prompt-c.txt
@@ -0,0 +1 @@
+Hello, World! C
\ No newline at end of file
diff --git a/graphrag/tests/unit/config/prompt-d.txt b/graphrag/tests/unit/config/prompt-d.txt
new file mode 100644
index 0000000000000000000000000000000000000000..bd6438515bf865d9dd3ac7f233a8d32417cfcef6
--- /dev/null
+++ b/graphrag/tests/unit/config/prompt-d.txt
@@ -0,0 +1 @@
+Hello, World! D
\ No newline at end of file
diff --git a/graphrag/tests/unit/config/test_default_config.py b/graphrag/tests/unit/config/test_default_config.py
new file mode 100644
index 0000000000000000000000000000000000000000..6cde9475fb975ccea07821c18607b9b946b8ed46
--- /dev/null
+++ b/graphrag/tests/unit/config/test_default_config.py
@@ -0,0 +1,947 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import json
+import os
+import re
+import unittest
+from pathlib import Path
+from typing import Any, cast
+from unittest import mock
+
+import pytest
+import yaml
+from pydantic import ValidationError
+
+import graphrag.config.defaults as defs
+from graphrag.config import (
+    ApiKeyMissingError,
+    AzureApiBaseMissingError,
+    AzureDeploymentNameMissingError,
+    CacheConfig,
+    CacheConfigInput,
+    CacheType,
+    ChunkingConfig,
+    ChunkingConfigInput,
+    ClaimExtractionConfig,
+    ClaimExtractionConfigInput,
+    ClusterGraphConfig,
+    ClusterGraphConfigInput,
+    CommunityReportsConfig,
+    CommunityReportsConfigInput,
+    EmbedGraphConfig,
+    EmbedGraphConfigInput,
+    EntityExtractionConfig,
+    EntityExtractionConfigInput,
+    GlobalSearchConfig,
+    GraphRagConfig,
+    GraphRagConfigInput,
+    InputConfig,
+    InputConfigInput,
+    InputFileType,
+    InputType,
+    LLMParameters,
+    LLMParametersInput,
+    LocalSearchConfig,
+    ParallelizationParameters,
+    ReportingConfig,
+    ReportingConfigInput,
+    ReportingType,
+    SnapshotsConfig,
+    SnapshotsConfigInput,
+    StorageConfig,
+    StorageConfigInput,
+    StorageType,
+    SummarizeDescriptionsConfig,
+    SummarizeDescriptionsConfigInput,
+    TextEmbeddingConfig,
+    TextEmbeddingConfigInput,
+    UmapConfig,
+    UmapConfigInput,
+    create_graphrag_config,
+)
+from graphrag.index import (
+    PipelineConfig,
+    PipelineCSVInputConfig,
+    PipelineFileCacheConfig,
+    PipelineFileReportingConfig,
+    PipelineFileStorageConfig,
+    PipelineInputConfig,
+    PipelineTextInputConfig,
+    PipelineWorkflowReference,
+    create_pipeline_config,
+)
+
+current_dir = os.path.dirname(__file__)
+
+ALL_ENV_VARS = {
+    "GRAPHRAG_API_BASE": "http://some/base",
+    "GRAPHRAG_API_KEY": "test",
+    "GRAPHRAG_API_ORGANIZATION": "test_org",
+    "GRAPHRAG_API_PROXY": "http://some/proxy",
+    "GRAPHRAG_API_VERSION": "v1234",
+    "GRAPHRAG_ASYNC_MODE": "asyncio",
+    "GRAPHRAG_CACHE_STORAGE_ACCOUNT_BLOB_URL": "cache_account_blob_url",
+    "GRAPHRAG_CACHE_BASE_DIR": "/some/cache/dir",
+    "GRAPHRAG_CACHE_CONNECTION_STRING": "test_cs1",
+    "GRAPHRAG_CACHE_CONTAINER_NAME": "test_cn1",
+    "GRAPHRAG_CACHE_TYPE": "blob",
+    "GRAPHRAG_CHUNK_BY_COLUMNS": "a,b",
+    "GRAPHRAG_CHUNK_OVERLAP": "12",
+    "GRAPHRAG_CHUNK_SIZE": "500",
+    "GRAPHRAG_CLAIM_EXTRACTION_ENABLED": "True",
+    "GRAPHRAG_CLAIM_EXTRACTION_DESCRIPTION": "test 123",
+    "GRAPHRAG_CLAIM_EXTRACTION_MAX_GLEANINGS": "5000",
+    "GRAPHRAG_CLAIM_EXTRACTION_PROMPT_FILE": "tests/unit/config/prompt-a.txt",
+    "GRAPHRAG_COMMUNITY_REPORTS_MAX_LENGTH": "23456",
+    "GRAPHRAG_COMMUNITY_REPORTS_PROMPT_FILE": "tests/unit/config/prompt-b.txt",
+    "GRAPHRAG_EMBEDDING_BATCH_MAX_TOKENS": "17",
+    "GRAPHRAG_EMBEDDING_BATCH_SIZE": "1000000",
+    "GRAPHRAG_EMBEDDING_CONCURRENT_REQUESTS": "12",
+    "GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME": "model-deployment-name",
+    "GRAPHRAG_EMBEDDING_MAX_RETRIES": "3",
+    "GRAPHRAG_EMBEDDING_MAX_RETRY_WAIT": "0.1123",
+    "GRAPHRAG_EMBEDDING_MODEL": "text-embedding-2",
+    "GRAPHRAG_EMBEDDING_REQUESTS_PER_MINUTE": "500",
+    "GRAPHRAG_EMBEDDING_SKIP": "a1,b1,c1",
+    "GRAPHRAG_EMBEDDING_SLEEP_ON_RATE_LIMIT_RECOMMENDATION": "False",
+    "GRAPHRAG_EMBEDDING_TARGET": "all",
+    "GRAPHRAG_EMBEDDING_THREAD_COUNT": "2345",
+    "GRAPHRAG_EMBEDDING_THREAD_STAGGER": "0.456",
+    "GRAPHRAG_EMBEDDING_TOKENS_PER_MINUTE": "7000",
+    "GRAPHRAG_EMBEDDING_TYPE": "azure_openai_embedding",
+    "GRAPHRAG_ENCODING_MODEL": "test123",
+    "GRAPHRAG_INPUT_STORAGE_ACCOUNT_BLOB_URL": "input_account_blob_url",
+    "GRAPHRAG_ENTITY_EXTRACTION_ENTITY_TYPES": "cat,dog,elephant",
+    "GRAPHRAG_ENTITY_EXTRACTION_MAX_GLEANINGS": "112",
+    "GRAPHRAG_ENTITY_EXTRACTION_PROMPT_FILE": "tests/unit/config/prompt-c.txt",
+    "GRAPHRAG_INPUT_BASE_DIR": "/some/input/dir",
+    "GRAPHRAG_INPUT_CONNECTION_STRING": "input_cs",
+    "GRAPHRAG_INPUT_CONTAINER_NAME": "input_cn",
+    "GRAPHRAG_INPUT_DOCUMENT_ATTRIBUTE_COLUMNS": "test1,test2",
+    "GRAPHRAG_INPUT_ENCODING": "utf-16",
+    "GRAPHRAG_INPUT_FILE_PATTERN": ".*\\test\\.txt$",
+    "GRAPHRAG_INPUT_SOURCE_COLUMN": "test_source",
+    "GRAPHRAG_INPUT_TYPE": "blob",
+    "GRAPHRAG_INPUT_TEXT_COLUMN": "test_text",
+    "GRAPHRAG_INPUT_TIMESTAMP_COLUMN": "test_timestamp",
+    "GRAPHRAG_INPUT_TIMESTAMP_FORMAT": "test_format",
+    "GRAPHRAG_INPUT_TITLE_COLUMN": "test_title",
+    "GRAPHRAG_INPUT_FILE_TYPE": "text",
+    "GRAPHRAG_LLM_CONCURRENT_REQUESTS": "12",
+    "GRAPHRAG_LLM_DEPLOYMENT_NAME": "model-deployment-name-x",
+    "GRAPHRAG_LLM_MAX_RETRIES": "312",
+    "GRAPHRAG_LLM_MAX_RETRY_WAIT": "0.1122",
+    "GRAPHRAG_LLM_MAX_TOKENS": "15000",
+    "GRAPHRAG_LLM_MODEL_SUPPORTS_JSON": "true",
+    "GRAPHRAG_LLM_MODEL": "test-llm",
+    "GRAPHRAG_LLM_N": "1",
+    "GRAPHRAG_LLM_REQUEST_TIMEOUT": "12.7",
+    "GRAPHRAG_LLM_REQUESTS_PER_MINUTE": "900",
+    "GRAPHRAG_LLM_SLEEP_ON_RATE_LIMIT_RECOMMENDATION": "False",
+    "GRAPHRAG_LLM_THREAD_COUNT": "987",
+    "GRAPHRAG_LLM_THREAD_STAGGER": "0.123",
+    "GRAPHRAG_LLM_TOKENS_PER_MINUTE": "8000",
+    "GRAPHRAG_LLM_TYPE": "azure_openai_chat",
+    "GRAPHRAG_MAX_CLUSTER_SIZE": "123",
+    "GRAPHRAG_NODE2VEC_ENABLED": "true",
+    "GRAPHRAG_NODE2VEC_ITERATIONS": "878787",
+    "GRAPHRAG_NODE2VEC_NUM_WALKS": "5000000",
+    "GRAPHRAG_NODE2VEC_RANDOM_SEED": "010101",
+    "GRAPHRAG_NODE2VEC_WALK_LENGTH": "555111",
+    "GRAPHRAG_NODE2VEC_WINDOW_SIZE": "12345",
+    "GRAPHRAG_REPORTING_STORAGE_ACCOUNT_BLOB_URL": "reporting_account_blob_url",
+    "GRAPHRAG_REPORTING_BASE_DIR": "/some/reporting/dir",
+    "GRAPHRAG_REPORTING_CONNECTION_STRING": "test_cs2",
+    "GRAPHRAG_REPORTING_CONTAINER_NAME": "test_cn2",
+    "GRAPHRAG_REPORTING_TYPE": "blob",
+    "GRAPHRAG_SKIP_WORKFLOWS": "a,b,c",
+    "GRAPHRAG_SNAPSHOT_GRAPHML": "true",
+    "GRAPHRAG_SNAPSHOT_RAW_ENTITIES": "true",
+    "GRAPHRAG_SNAPSHOT_TOP_LEVEL_NODES": "true",
+    "GRAPHRAG_STORAGE_STORAGE_ACCOUNT_BLOB_URL": "storage_account_blob_url",
+    "GRAPHRAG_STORAGE_BASE_DIR": "/some/storage/dir",
+    "GRAPHRAG_STORAGE_CONNECTION_STRING": "test_cs",
+    "GRAPHRAG_STORAGE_CONTAINER_NAME": "test_cn",
+    "GRAPHRAG_STORAGE_TYPE": "blob",
+    "GRAPHRAG_SUMMARIZE_DESCRIPTIONS_MAX_LENGTH": "12345",
+    "GRAPHRAG_SUMMARIZE_DESCRIPTIONS_PROMPT_FILE": "tests/unit/config/prompt-d.txt",
+    "GRAPHRAG_LLM_TEMPERATURE": "0.0",
+    "GRAPHRAG_LLM_TOP_P": "1.0",
+    "GRAPHRAG_UMAP_ENABLED": "true",
+    "GRAPHRAG_LOCAL_SEARCH_TEXT_UNIT_PROP": "0.713",
+    "GRAPHRAG_LOCAL_SEARCH_COMMUNITY_PROP": "0.1234",
+    "GRAPHRAG_LOCAL_SEARCH_LLM_TEMPERATURE": "0.1",
+    "GRAPHRAG_LOCAL_SEARCH_LLM_TOP_P": "0.9",
+    "GRAPHRAG_LOCAL_SEARCH_LLM_N": "2",
+    "GRAPHRAG_LOCAL_SEARCH_LLM_MAX_TOKENS": "12",
+    "GRAPHRAG_LOCAL_SEARCH_TOP_K_RELATIONSHIPS": "15",
+    "GRAPHRAG_LOCAL_SEARCH_TOP_K_ENTITIES": "14",
+    "GRAPHRAG_LOCAL_SEARCH_CONVERSATION_HISTORY_MAX_TURNS": "2",
+    "GRAPHRAG_LOCAL_SEARCH_MAX_TOKENS": "142435",
+    "GRAPHRAG_GLOBAL_SEARCH_LLM_TEMPERATURE": "0.1",
+    "GRAPHRAG_GLOBAL_SEARCH_LLM_TOP_P": "0.9",
+    "GRAPHRAG_GLOBAL_SEARCH_LLM_N": "2",
+    "GRAPHRAG_GLOBAL_SEARCH_MAX_TOKENS": "5123",
+    "GRAPHRAG_GLOBAL_SEARCH_DATA_MAX_TOKENS": "123",
+    "GRAPHRAG_GLOBAL_SEARCH_MAP_MAX_TOKENS": "4123",
+    "GRAPHRAG_GLOBAL_SEARCH_CONCURRENCY": "7",
+    "GRAPHRAG_GLOBAL_SEARCH_REDUCE_MAX_TOKENS": "15432",
+}
+
+
+class TestDefaultConfig(unittest.TestCase):
+    def test_clear_warnings(self):
+        """Just clearing unused import warnings"""
+        assert CacheConfig is not None
+        assert ChunkingConfig is not None
+        assert ClaimExtractionConfig is not None
+        assert ClusterGraphConfig is not None
+        assert CommunityReportsConfig is not None
+        assert EmbedGraphConfig is not None
+        assert EntityExtractionConfig is not None
+        assert GlobalSearchConfig is not None
+        assert GraphRagConfig is not None
+        assert InputConfig is not None
+        assert LLMParameters is not None
+        assert LocalSearchConfig is not None
+        assert ParallelizationParameters is not None
+        assert ReportingConfig is not None
+        assert SnapshotsConfig is not None
+        assert StorageConfig is not None
+        assert SummarizeDescriptionsConfig is not None
+        assert TextEmbeddingConfig is not None
+        assert UmapConfig is not None
+        assert PipelineConfig is not None
+        assert PipelineFileReportingConfig is not None
+        assert PipelineFileStorageConfig is not None
+        assert PipelineInputConfig is not None
+        assert PipelineFileCacheConfig is not None
+        assert PipelineWorkflowReference is not None
+
+    @mock.patch.dict(os.environ, {"OPENAI_API_KEY": "test"}, clear=True)
+    def test_string_repr(self):
+        # __str__ can be json loaded
+        config = create_graphrag_config()
+        string_repr = str(config)
+        assert string_repr is not None
+        assert json.loads(string_repr) is not None
+
+        # __repr__ can be eval()'d
+        repr_str = config.__repr__()
+        # TODO: add __repr__ to datashaper enum
+        repr_str = repr_str.replace("async_mode=<AsyncType.Threaded: 'threaded'>,", "")
+        assert eval(repr_str) is not None
+
+        # Pipeline config __str__ can be json loaded
+        pipeline_config = create_pipeline_config(config)
+        string_repr = str(pipeline_config)
+        assert string_repr is not None
+        assert json.loads(string_repr) is not None
+
+        # Pipeline config __repr__ can be eval()'d
+        repr_str = pipeline_config.__repr__()
+        # TODO: add __repr__ to datashaper enum
+        repr_str = repr_str.replace(
+            "'async_mode': <AsyncType.Threaded: 'threaded'>,", ""
+        )
+        assert eval(repr_str) is not None
+
+    @mock.patch.dict(os.environ, {}, clear=True)
+    def test_default_config_with_no_env_vars_throws(self):
+        with pytest.raises(ApiKeyMissingError):
+            # This should throw an error because the API key is missing
+            create_pipeline_config(create_graphrag_config())
+
+    @mock.patch.dict(os.environ, {"GRAPHRAG_API_KEY": "test"}, clear=True)
+    def test_default_config_with_api_key_passes(self):
+        # doesn't throw
+        config = create_pipeline_config(create_graphrag_config())
+        assert config is not None
+
+    @mock.patch.dict(os.environ, {"OPENAI_API_KEY": "test"}, clear=True)
+    def test_default_config_with_oai_key_passes_envvar(self):
+        # doesn't throw
+        config = create_pipeline_config(create_graphrag_config())
+        assert config is not None
+
+    def test_default_config_with_oai_key_passes_obj(self):
+        # doesn't throw
+        config = create_pipeline_config(
+            create_graphrag_config({"llm": {"api_key": "test"}})
+        )
+        assert config is not None
+
+    @mock.patch.dict(
+        os.environ,
+        {"GRAPHRAG_API_KEY": "test", "GRAPHRAG_LLM_TYPE": "azure_openai_chat"},
+        clear=True,
+    )
+    def test_throws_if_azure_is_used_without_api_base_envvar(self):
+        with pytest.raises(AzureApiBaseMissingError):
+            create_graphrag_config()
+
+    @mock.patch.dict(os.environ, {"GRAPHRAG_API_KEY": "test"}, clear=True)
+    def test_throws_if_azure_is_used_without_api_base_obj(self):
+        with pytest.raises(AzureApiBaseMissingError):
+            create_graphrag_config(
+                GraphRagConfigInput(llm=LLMParametersInput(type="azure_openai_chat"))
+            )
+
+    @mock.patch.dict(
+        os.environ,
+        {
+            "GRAPHRAG_API_KEY": "test",
+            "GRAPHRAG_LLM_TYPE": "azure_openai_chat",
+            "GRAPHRAG_API_BASE": "http://some/base",
+        },
+        clear=True,
+    )
+    def test_throws_if_azure_is_used_without_llm_deployment_name_envvar(self):
+        with pytest.raises(AzureDeploymentNameMissingError):
+            create_graphrag_config()
+
+    @mock.patch.dict(os.environ, {"GRAPHRAG_API_KEY": "test"}, clear=True)
+    def test_throws_if_azure_is_used_without_llm_deployment_name_obj(self):
+        with pytest.raises(AzureDeploymentNameMissingError):
+            create_graphrag_config(
+                GraphRagConfigInput(
+                    llm=LLMParametersInput(
+                        type="azure_openai_chat", api_base="http://some/base"
+                    )
+                )
+            )
+
+    @mock.patch.dict(
+        os.environ,
+        {
+            "GRAPHRAG_API_KEY": "test",
+            "GRAPHRAG_EMBEDDING_TYPE": "azure_openai_embedding",
+            "GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME": "x",
+        },
+        clear=True,
+    )
+    def test_throws_if_azure_is_used_without_embedding_api_base_envvar(self):
+        with pytest.raises(AzureApiBaseMissingError):
+            create_graphrag_config()
+
+    @mock.patch.dict(os.environ, {"GRAPHRAG_API_KEY": "test"}, clear=True)
+    def test_throws_if_azure_is_used_without_embedding_api_base_obj(self):
+        with pytest.raises(AzureApiBaseMissingError):
+            create_graphrag_config(
+                GraphRagConfigInput(
+                    embeddings=TextEmbeddingConfigInput(
+                        llm=LLMParametersInput(
+                            type="azure_openai_embedding",
+                            deployment_name="x",
+                        )
+                    ),
+                )
+            )
+
+    @mock.patch.dict(
+        os.environ,
+        {
+            "GRAPHRAG_API_KEY": "test",
+            "GRAPHRAG_API_BASE": "http://some/base",
+            "GRAPHRAG_LLM_DEPLOYMENT_NAME": "x",
+            "GRAPHRAG_LLM_TYPE": "azure_openai_chat",
+            "GRAPHRAG_EMBEDDING_TYPE": "azure_openai_embedding",
+        },
+        clear=True,
+    )
+    def test_throws_if_azure_is_used_without_embedding_deployment_name_envvar(self):
+        with pytest.raises(AzureDeploymentNameMissingError):
+            create_graphrag_config()
+
+    @mock.patch.dict(os.environ, {"GRAPHRAG_API_KEY": "test"}, clear=True)
+    def test_throws_if_azure_is_used_without_embedding_deployment_name_obj(self):
+        with pytest.raises(AzureDeploymentNameMissingError):
+            create_graphrag_config(
+                GraphRagConfigInput(
+                    llm=LLMParametersInput(
+                        type="azure_openai_chat",
+                        api_base="http://some/base",
+                        deployment_name="model-deployment-name-x",
+                    ),
+                    embeddings=TextEmbeddingConfigInput(
+                        llm=LLMParametersInput(
+                            type="azure_openai_embedding",
+                        )
+                    ),
+                )
+            )
+
+    @mock.patch.dict(os.environ, {"GRAPHRAG_API_KEY": "test"}, clear=True)
+    def test_minimim_azure_config_object(self):
+        config = create_graphrag_config(
+            GraphRagConfigInput(
+                llm=LLMParametersInput(
+                    type="azure_openai_chat",
+                    api_base="http://some/base",
+                    deployment_name="model-deployment-name-x",
+                ),
+                embeddings=TextEmbeddingConfigInput(
+                    llm=LLMParametersInput(
+                        type="azure_openai_embedding",
+                        deployment_name="model-deployment-name",
+                    )
+                ),
+            )
+        )
+        assert config is not None
+
+    @mock.patch.dict(
+        os.environ,
+        {
+            "GRAPHRAG_API_KEY": "test",
+            "GRAPHRAG_LLM_TYPE": "azure_openai_chat",
+            "GRAPHRAG_LLM_DEPLOYMENT_NAME": "x",
+        },
+        clear=True,
+    )
+    def test_throws_if_azure_is_used_without_api_base(self):
+        with pytest.raises(AzureApiBaseMissingError):
+            create_graphrag_config()
+
+    @mock.patch.dict(
+        os.environ,
+        {
+            "GRAPHRAG_API_KEY": "test",
+            "GRAPHRAG_LLM_TYPE": "azure_openai_chat",
+            "GRAPHRAG_LLM_API_BASE": "http://some/base",
+        },
+        clear=True,
+    )
+    def test_throws_if_azure_is_used_without_llm_deployment_name(self):
+        with pytest.raises(AzureDeploymentNameMissingError):
+            create_graphrag_config()
+
+    @mock.patch.dict(
+        os.environ,
+        {
+            "GRAPHRAG_API_KEY": "test",
+            "GRAPHRAG_LLM_TYPE": "azure_openai_chat",
+            "GRAPHRAG_API_BASE": "http://some/base",
+            "GRAPHRAG_LLM_DEPLOYMENT_NAME": "model-deployment-name-x",
+            "GRAPHRAG_EMBEDDING_TYPE": "azure_openai_embedding",
+        },
+        clear=True,
+    )
+    def test_throws_if_azure_is_used_without_embedding_deployment_name(self):
+        with pytest.raises(AzureDeploymentNameMissingError):
+            create_graphrag_config()
+
+    @mock.patch.dict(
+        os.environ,
+        {"GRAPHRAG_API_KEY": "test", "GRAPHRAG_INPUT_FILE_TYPE": "csv"},
+        clear=True,
+    )
+    def test_csv_input_returns_correct_config(self):
+        config = create_pipeline_config(create_graphrag_config(root_dir="/some/root"))
+        assert config.root_dir == "/some/root"
+        # Make sure the input is a CSV input
+        assert isinstance(config.input, PipelineCSVInputConfig)
+        assert (config.input.file_pattern or "") == ".*\\.csv$"  # type: ignore
+
+    @mock.patch.dict(
+        os.environ,
+        {"GRAPHRAG_API_KEY": "test", "GRAPHRAG_INPUT_FILE_TYPE": "text"},
+        clear=True,
+    )
+    def test_text_input_returns_correct_config(self):
+        config = create_pipeline_config(create_graphrag_config(root_dir="."))
+        assert isinstance(config.input, PipelineTextInputConfig)
+        assert config.input is not None
+        assert (config.input.file_pattern or "") == ".*\\.txt$"  # type: ignore
+
+    def test_all_env_vars_is_accurate(self):
+        env_var_docs_path = Path("docsite/posts/config/env_vars.md")
+        query_docs_path = Path("docsite/posts/query/3-cli.md")
+
+        env_var_docs = env_var_docs_path.read_text(encoding="utf-8")
+        query_docs = query_docs_path.read_text(encoding="utf-8")
+
+        def find_envvar_names(text) -> set[str]:
+            pattern = r"`(GRAPHRAG_[^`]+)`"
+            found = re.findall(pattern, text)
+            found = {f for f in found if not f.endswith("_")}
+            return {*found}
+
+        graphrag_strings = find_envvar_names(env_var_docs) | find_envvar_names(
+            query_docs
+        )
+
+        missing = {s for s in graphrag_strings if s not in ALL_ENV_VARS} - {
+            # Remove configs covered by the base LLM connection configs
+            "GRAPHRAG_LLM_API_KEY",
+            "GRAPHRAG_LLM_API_BASE",
+            "GRAPHRAG_LLM_API_VERSION",
+            "GRAPHRAG_LLM_API_ORGANIZATION",
+            "GRAPHRAG_LLM_API_PROXY",
+            "GRAPHRAG_EMBEDDING_API_KEY",
+            "GRAPHRAG_EMBEDDING_API_BASE",
+            "GRAPHRAG_EMBEDDING_API_VERSION",
+            "GRAPHRAG_EMBEDDING_API_ORGANIZATION",
+            "GRAPHRAG_EMBEDDING_API_PROXY",
+        }
+        if missing:
+            msg = f"{len(missing)} missing env vars: {missing}"
+            print(msg)
+            raise ValueError(msg)
+
+    @mock.patch.dict(
+        os.environ,
+        {"GRAPHRAG_API_KEY": "test"},
+        clear=True,
+    )
+    def test_malformed_input_dict_throws(self):
+        with pytest.raises(ValidationError):
+            create_graphrag_config(cast(Any, {"llm": 12}))
+
+    @mock.patch.dict(
+        os.environ,
+        ALL_ENV_VARS,
+        clear=True,
+    )
+    def test_create_parameters_from_env_vars(self) -> None:
+        parameters = create_graphrag_config()
+        assert parameters.async_mode == "asyncio"
+        assert parameters.cache.storage_account_blob_url == "cache_account_blob_url"
+        assert parameters.cache.base_dir == "/some/cache/dir"
+        assert parameters.cache.connection_string == "test_cs1"
+        assert parameters.cache.container_name == "test_cn1"
+        assert parameters.cache.type == CacheType.blob
+        assert parameters.chunks.group_by_columns == ["a", "b"]
+        assert parameters.chunks.overlap == 12
+        assert parameters.chunks.size == 500
+        assert parameters.claim_extraction.enabled
+        assert parameters.claim_extraction.description == "test 123"
+        assert parameters.claim_extraction.max_gleanings == 5000
+        assert parameters.claim_extraction.prompt == "tests/unit/config/prompt-a.txt"
+        assert parameters.cluster_graph.max_cluster_size == 123
+        assert parameters.community_reports.max_length == 23456
+        assert parameters.community_reports.prompt == "tests/unit/config/prompt-b.txt"
+        assert parameters.embed_graph.enabled
+        assert parameters.embed_graph.iterations == 878787
+        assert parameters.embed_graph.num_walks == 5_000_000
+        assert parameters.embed_graph.random_seed == 10101
+        assert parameters.embed_graph.walk_length == 555111
+        assert parameters.embed_graph.window_size == 12345
+        assert parameters.embeddings.batch_max_tokens == 17
+        assert parameters.embeddings.batch_size == 1_000_000
+        assert parameters.embeddings.llm.concurrent_requests == 12
+        assert parameters.embeddings.llm.deployment_name == "model-deployment-name"
+        assert parameters.embeddings.llm.max_retries == 3
+        assert parameters.embeddings.llm.max_retry_wait == 0.1123
+        assert parameters.embeddings.llm.model == "text-embedding-2"
+        assert parameters.embeddings.llm.requests_per_minute == 500
+        assert parameters.embeddings.llm.sleep_on_rate_limit_recommendation is False
+        assert parameters.embeddings.llm.tokens_per_minute == 7000
+        assert parameters.embeddings.llm.type == "azure_openai_embedding"
+        assert parameters.embeddings.parallelization.num_threads == 2345
+        assert parameters.embeddings.parallelization.stagger == 0.456
+        assert parameters.embeddings.skip == ["a1", "b1", "c1"]
+        assert parameters.embeddings.target == "all"
+        assert parameters.encoding_model == "test123"
+        assert parameters.entity_extraction.entity_types == ["cat", "dog", "elephant"]
+        assert parameters.entity_extraction.llm.api_base == "http://some/base"
+        assert parameters.entity_extraction.max_gleanings == 112
+        assert parameters.entity_extraction.prompt == "tests/unit/config/prompt-c.txt"
+        assert parameters.input.storage_account_blob_url == "input_account_blob_url"
+        assert parameters.input.base_dir == "/some/input/dir"
+        assert parameters.input.connection_string == "input_cs"
+        assert parameters.input.container_name == "input_cn"
+        assert parameters.input.document_attribute_columns == ["test1", "test2"]
+        assert parameters.input.encoding == "utf-16"
+        assert parameters.input.file_pattern == ".*\\test\\.txt$"
+        assert parameters.input.file_type == InputFileType.text
+        assert parameters.input.source_column == "test_source"
+        assert parameters.input.text_column == "test_text"
+        assert parameters.input.timestamp_column == "test_timestamp"
+        assert parameters.input.timestamp_format == "test_format"
+        assert parameters.input.title_column == "test_title"
+        assert parameters.input.type == InputType.blob
+        assert parameters.llm.api_base == "http://some/base"
+        assert parameters.llm.api_key == "test"
+        assert parameters.llm.api_version == "v1234"
+        assert parameters.llm.concurrent_requests == 12
+        assert parameters.llm.deployment_name == "model-deployment-name-x"
+        assert parameters.llm.max_retries == 312
+        assert parameters.llm.max_retry_wait == 0.1122
+        assert parameters.llm.max_tokens == 15000
+        assert parameters.llm.model == "test-llm"
+        assert parameters.llm.model_supports_json
+        assert parameters.llm.n == 1
+        assert parameters.llm.organization == "test_org"
+        assert parameters.llm.proxy == "http://some/proxy"
+        assert parameters.llm.request_timeout == 12.7
+        assert parameters.llm.requests_per_minute == 900
+        assert parameters.llm.sleep_on_rate_limit_recommendation is False
+        assert parameters.llm.temperature == 0.0
+        assert parameters.llm.top_p == 1.0
+        assert parameters.llm.tokens_per_minute == 8000
+        assert parameters.llm.type == "azure_openai_chat"
+        assert parameters.parallelization.num_threads == 987
+        assert parameters.parallelization.stagger == 0.123
+        assert (
+            parameters.reporting.storage_account_blob_url
+            == "reporting_account_blob_url"
+        )
+        assert parameters.reporting.base_dir == "/some/reporting/dir"
+        assert parameters.reporting.connection_string == "test_cs2"
+        assert parameters.reporting.container_name == "test_cn2"
+        assert parameters.reporting.type == ReportingType.blob
+        assert parameters.skip_workflows == ["a", "b", "c"]
+        assert parameters.snapshots.graphml
+        assert parameters.snapshots.raw_entities
+        assert parameters.snapshots.top_level_nodes
+        assert parameters.storage.storage_account_blob_url == "storage_account_blob_url"
+        assert parameters.storage.base_dir == "/some/storage/dir"
+        assert parameters.storage.connection_string == "test_cs"
+        assert parameters.storage.container_name == "test_cn"
+        assert parameters.storage.type == StorageType.blob
+        assert parameters.summarize_descriptions.max_length == 12345
+        assert (
+            parameters.summarize_descriptions.prompt == "tests/unit/config/prompt-d.txt"
+        )
+        assert parameters.umap.enabled
+        assert parameters.local_search.text_unit_prop == 0.713
+        assert parameters.local_search.community_prop == 0.1234
+        assert parameters.local_search.llm_max_tokens == 12
+        assert parameters.local_search.top_k_relationships == 15
+        assert parameters.local_search.conversation_history_max_turns == 2
+        assert parameters.local_search.top_k_entities == 14
+        assert parameters.local_search.temperature == 0.1
+        assert parameters.local_search.top_p == 0.9
+        assert parameters.local_search.n == 2
+        assert parameters.local_search.max_tokens == 142435
+
+        assert parameters.global_search.temperature == 0.1
+        assert parameters.global_search.top_p == 0.9
+        assert parameters.global_search.n == 2
+        assert parameters.global_search.max_tokens == 5123
+        assert parameters.global_search.data_max_tokens == 123
+        assert parameters.global_search.map_max_tokens == 4123
+        assert parameters.global_search.concurrency == 7
+        assert parameters.global_search.reduce_max_tokens == 15432
+
+    @mock.patch.dict(os.environ, {"API_KEY_X": "test"}, clear=True)
+    def test_create_parameters(self) -> None:
+        parameters = create_graphrag_config(
+            GraphRagConfigInput(
+                llm=LLMParametersInput(api_key="${API_KEY_X}", model="test-llm"),
+                storage=StorageConfigInput(
+                    type=StorageType.blob,
+                    connection_string="test_cs",
+                    container_name="test_cn",
+                    base_dir="/some/storage/dir",
+                    storage_account_blob_url="storage_account_blob_url",
+                ),
+                cache=CacheConfigInput(
+                    type=CacheType.blob,
+                    connection_string="test_cs1",
+                    container_name="test_cn1",
+                    base_dir="/some/cache/dir",
+                    storage_account_blob_url="cache_account_blob_url",
+                ),
+                reporting=ReportingConfigInput(
+                    type=ReportingType.blob,
+                    connection_string="test_cs2",
+                    container_name="test_cn2",
+                    base_dir="/some/reporting/dir",
+                    storage_account_blob_url="reporting_account_blob_url",
+                ),
+                input=InputConfigInput(
+                    file_type=InputFileType.text,
+                    file_encoding="utf-16",
+                    document_attribute_columns=["test1", "test2"],
+                    base_dir="/some/input/dir",
+                    connection_string="input_cs",
+                    container_name="input_cn",
+                    file_pattern=".*\\test\\.txt$",
+                    source_column="test_source",
+                    text_column="test_text",
+                    timestamp_column="test_timestamp",
+                    timestamp_format="test_format",
+                    title_column="test_title",
+                    type="blob",
+                    storage_account_blob_url="input_account_blob_url",
+                ),
+                embed_graph=EmbedGraphConfigInput(
+                    enabled=True,
+                    num_walks=5_000_000,
+                    iterations=878787,
+                    random_seed=10101,
+                    walk_length=555111,
+                ),
+                embeddings=TextEmbeddingConfigInput(
+                    batch_size=1_000_000,
+                    batch_max_tokens=8000,
+                    skip=["a1", "b1", "c1"],
+                    llm=LLMParametersInput(model="text-embedding-2"),
+                ),
+                chunks=ChunkingConfigInput(
+                    size=500, overlap=12, group_by_columns=["a", "b"]
+                ),
+                snapshots=SnapshotsConfigInput(
+                    graphml=True,
+                    raw_entities=True,
+                    top_level_nodes=True,
+                ),
+                entity_extraction=EntityExtractionConfigInput(
+                    max_gleanings=112,
+                    entity_types=["cat", "dog", "elephant"],
+                    prompt="entity_extraction_prompt_file.txt",
+                ),
+                summarize_descriptions=SummarizeDescriptionsConfigInput(
+                    max_length=12345, prompt="summarize_prompt_file.txt"
+                ),
+                community_reports=CommunityReportsConfigInput(
+                    max_length=23456,
+                    prompt="community_report_prompt_file.txt",
+                    max_input_length=12345,
+                ),
+                claim_extraction=ClaimExtractionConfigInput(
+                    description="test 123",
+                    max_gleanings=5000,
+                    prompt="claim_extraction_prompt_file.txt",
+                ),
+                cluster_graph=ClusterGraphConfigInput(
+                    max_cluster_size=123,
+                ),
+                umap=UmapConfigInput(enabled=True),
+                encoding_model="test123",
+                skip_workflows=["a", "b", "c"],
+            ),
+            ".",
+        )
+
+        assert parameters.cache.base_dir == "/some/cache/dir"
+        assert parameters.cache.connection_string == "test_cs1"
+        assert parameters.cache.container_name == "test_cn1"
+        assert parameters.cache.type == CacheType.blob
+        assert parameters.cache.storage_account_blob_url == "cache_account_blob_url"
+        assert parameters.chunks.group_by_columns == ["a", "b"]
+        assert parameters.chunks.overlap == 12
+        assert parameters.chunks.size == 500
+        assert parameters.claim_extraction.description == "test 123"
+        assert parameters.claim_extraction.max_gleanings == 5000
+        assert parameters.claim_extraction.prompt == "claim_extraction_prompt_file.txt"
+        assert parameters.cluster_graph.max_cluster_size == 123
+        assert parameters.community_reports.max_input_length == 12345
+        assert parameters.community_reports.max_length == 23456
+        assert parameters.community_reports.prompt == "community_report_prompt_file.txt"
+        assert parameters.embed_graph.enabled
+        assert parameters.embed_graph.iterations == 878787
+        assert parameters.embed_graph.num_walks == 5_000_000
+        assert parameters.embed_graph.random_seed == 10101
+        assert parameters.embed_graph.walk_length == 555111
+        assert parameters.embeddings.batch_max_tokens == 8000
+        assert parameters.embeddings.batch_size == 1_000_000
+        assert parameters.embeddings.llm.model == "text-embedding-2"
+        assert parameters.embeddings.skip == ["a1", "b1", "c1"]
+        assert parameters.encoding_model == "test123"
+        assert parameters.entity_extraction.entity_types == ["cat", "dog", "elephant"]
+        assert parameters.entity_extraction.max_gleanings == 112
+        assert (
+            parameters.entity_extraction.prompt == "entity_extraction_prompt_file.txt"
+        )
+        assert parameters.input.base_dir == "/some/input/dir"
+        assert parameters.input.connection_string == "input_cs"
+        assert parameters.input.container_name == "input_cn"
+        assert parameters.input.document_attribute_columns == ["test1", "test2"]
+        assert parameters.input.encoding == "utf-16"
+        assert parameters.input.file_pattern == ".*\\test\\.txt$"
+        assert parameters.input.source_column == "test_source"
+        assert parameters.input.type == "blob"
+        assert parameters.input.text_column == "test_text"
+        assert parameters.input.timestamp_column == "test_timestamp"
+        assert parameters.input.timestamp_format == "test_format"
+        assert parameters.input.title_column == "test_title"
+        assert parameters.input.file_type == InputFileType.text
+        assert parameters.input.storage_account_blob_url == "input_account_blob_url"
+        assert parameters.llm.api_key == "test"
+        assert parameters.llm.model == "test-llm"
+        assert parameters.reporting.base_dir == "/some/reporting/dir"
+        assert parameters.reporting.connection_string == "test_cs2"
+        assert parameters.reporting.container_name == "test_cn2"
+        assert parameters.reporting.type == ReportingType.blob
+        assert (
+            parameters.reporting.storage_account_blob_url
+            == "reporting_account_blob_url"
+        )
+        assert parameters.skip_workflows == ["a", "b", "c"]
+        assert parameters.snapshots.graphml
+        assert parameters.snapshots.raw_entities
+        assert parameters.snapshots.top_level_nodes
+        assert parameters.storage.base_dir == "/some/storage/dir"
+        assert parameters.storage.connection_string == "test_cs"
+        assert parameters.storage.container_name == "test_cn"
+        assert parameters.storage.type == StorageType.blob
+        assert parameters.storage.storage_account_blob_url == "storage_account_blob_url"
+        assert parameters.summarize_descriptions.max_length == 12345
+        assert parameters.summarize_descriptions.prompt == "summarize_prompt_file.txt"
+        assert parameters.umap.enabled
+
+    @mock.patch.dict(
+        os.environ,
+        {"GRAPHRAG_API_KEY": "test"},
+        clear=True,
+    )
+    def test_default_values(self) -> None:
+        parameters = create_graphrag_config()
+        assert parameters.async_mode == defs.ASYNC_MODE
+        assert parameters.cache.base_dir == defs.CACHE_BASE_DIR
+        assert parameters.cache.type == defs.CACHE_TYPE
+        assert parameters.cache.base_dir == defs.CACHE_BASE_DIR
+        assert parameters.chunks.group_by_columns == defs.CHUNK_GROUP_BY_COLUMNS
+        assert parameters.chunks.overlap == defs.CHUNK_OVERLAP
+        assert parameters.chunks.size == defs.CHUNK_SIZE
+        assert parameters.claim_extraction.description == defs.CLAIM_DESCRIPTION
+        assert parameters.claim_extraction.max_gleanings == defs.CLAIM_MAX_GLEANINGS
+        assert (
+            parameters.community_reports.max_input_length
+            == defs.COMMUNITY_REPORT_MAX_INPUT_LENGTH
+        )
+        assert (
+            parameters.community_reports.max_length == defs.COMMUNITY_REPORT_MAX_LENGTH
+        )
+        assert parameters.embeddings.batch_max_tokens == defs.EMBEDDING_BATCH_MAX_TOKENS
+        assert parameters.embeddings.batch_size == defs.EMBEDDING_BATCH_SIZE
+        assert parameters.embeddings.llm.model == defs.EMBEDDING_MODEL
+        assert parameters.embeddings.target == defs.EMBEDDING_TARGET
+        assert parameters.embeddings.llm.type == defs.EMBEDDING_TYPE
+        assert (
+            parameters.embeddings.llm.requests_per_minute
+            == defs.LLM_REQUESTS_PER_MINUTE
+        )
+        assert parameters.embeddings.llm.tokens_per_minute == defs.LLM_TOKENS_PER_MINUTE
+        assert (
+            parameters.embeddings.llm.sleep_on_rate_limit_recommendation
+            == defs.LLM_SLEEP_ON_RATE_LIMIT_RECOMMENDATION
+        )
+        assert (
+            parameters.entity_extraction.entity_types
+            == defs.ENTITY_EXTRACTION_ENTITY_TYPES
+        )
+        assert (
+            parameters.entity_extraction.max_gleanings
+            == defs.ENTITY_EXTRACTION_MAX_GLEANINGS
+        )
+        assert parameters.encoding_model == defs.ENCODING_MODEL
+        assert parameters.input.base_dir == defs.INPUT_BASE_DIR
+        assert parameters.input.file_pattern == defs.INPUT_CSV_PATTERN
+        assert parameters.input.encoding == defs.INPUT_FILE_ENCODING
+        assert parameters.input.type == defs.INPUT_TYPE
+        assert parameters.input.base_dir == defs.INPUT_BASE_DIR
+        assert parameters.input.text_column == defs.INPUT_TEXT_COLUMN
+        assert parameters.input.file_type == defs.INPUT_FILE_TYPE
+        assert parameters.llm.concurrent_requests == defs.LLM_CONCURRENT_REQUESTS
+        assert parameters.llm.max_retries == defs.LLM_MAX_RETRIES
+        assert parameters.llm.max_retry_wait == defs.LLM_MAX_RETRY_WAIT
+        assert parameters.llm.max_tokens == defs.LLM_MAX_TOKENS
+        assert parameters.llm.model == defs.LLM_MODEL
+        assert parameters.llm.request_timeout == defs.LLM_REQUEST_TIMEOUT
+        assert parameters.llm.requests_per_minute == defs.LLM_REQUESTS_PER_MINUTE
+        assert parameters.llm.tokens_per_minute == defs.LLM_TOKENS_PER_MINUTE
+        assert (
+            parameters.llm.sleep_on_rate_limit_recommendation
+            == defs.LLM_SLEEP_ON_RATE_LIMIT_RECOMMENDATION
+        )
+        assert parameters.llm.type == defs.LLM_TYPE
+        assert parameters.cluster_graph.max_cluster_size == defs.MAX_CLUSTER_SIZE
+        assert parameters.embed_graph.enabled == defs.NODE2VEC_ENABLED
+        assert parameters.embed_graph.iterations == defs.NODE2VEC_ITERATIONS
+        assert parameters.embed_graph.num_walks == defs.NODE2VEC_NUM_WALKS
+        assert parameters.embed_graph.random_seed == defs.NODE2VEC_RANDOM_SEED
+        assert parameters.embed_graph.walk_length == defs.NODE2VEC_WALK_LENGTH
+        assert parameters.embed_graph.window_size == defs.NODE2VEC_WINDOW_SIZE
+        assert (
+            parameters.parallelization.num_threads == defs.PARALLELIZATION_NUM_THREADS
+        )
+        assert parameters.parallelization.stagger == defs.PARALLELIZATION_STAGGER
+        assert parameters.reporting.type == defs.REPORTING_TYPE
+        assert parameters.reporting.base_dir == defs.REPORTING_BASE_DIR
+        assert parameters.snapshots.graphml == defs.SNAPSHOTS_GRAPHML
+        assert parameters.snapshots.raw_entities == defs.SNAPSHOTS_RAW_ENTITIES
+        assert parameters.snapshots.top_level_nodes == defs.SNAPSHOTS_TOP_LEVEL_NODES
+        assert parameters.storage.base_dir == defs.STORAGE_BASE_DIR
+        assert parameters.storage.type == defs.STORAGE_TYPE
+        assert parameters.umap.enabled == defs.UMAP_ENABLED
+
+    @mock.patch.dict(
+        os.environ,
+        {"GRAPHRAG_API_KEY": "test"},
+        clear=True,
+    )
+    def test_prompt_file_reading(self):
+        config = create_graphrag_config({
+            "entity_extraction": {"prompt": "tests/unit/config/prompt-a.txt"},
+            "claim_extraction": {"prompt": "tests/unit/config/prompt-b.txt"},
+            "community_reports": {"prompt": "tests/unit/config/prompt-c.txt"},
+            "summarize_descriptions": {"prompt": "tests/unit/config/prompt-d.txt"},
+        })
+        strategy = config.entity_extraction.resolved_strategy(".", "abc123")
+        assert strategy["extraction_prompt"] == "Hello, World! A"
+        assert strategy["encoding_name"] == "abc123"
+
+        strategy = config.claim_extraction.resolved_strategy(".")
+        assert strategy["extraction_prompt"] == "Hello, World! B"
+
+        strategy = config.community_reports.resolved_strategy(".")
+        assert strategy["extraction_prompt"] == "Hello, World! C"
+
+        strategy = config.summarize_descriptions.resolved_strategy(".")
+        assert strategy["summarize_prompt"] == "Hello, World! D"
+
+
+@mock.patch.dict(
+    os.environ,
+    {
+        "PIPELINE_LLM_API_KEY": "test",
+        "PIPELINE_LLM_API_BASE": "http://test",
+        "PIPELINE_LLM_API_VERSION": "v1",
+        "PIPELINE_LLM_MODEL": "test-llm",
+        "PIPELINE_LLM_DEPLOYMENT_NAME": "test",
+    },
+    clear=True,
+)
+def test_yaml_load_e2e():
+    config_dict = yaml.safe_load(
+        """
+input:
+  file_type: text
+
+llm:
+  type: azure_openai_chat
+  api_key: ${PIPELINE_LLM_API_KEY}
+  api_base: ${PIPELINE_LLM_API_BASE}
+  api_version: ${PIPELINE_LLM_API_VERSION}
+  model: ${PIPELINE_LLM_MODEL}
+  deployment_name: ${PIPELINE_LLM_DEPLOYMENT_NAME}
+  model_supports_json: True
+  tokens_per_minute: 80000
+  requests_per_minute: 900
+  thread_count: 50
+  concurrent_requests: 25
+"""
+    )
+    # create default configuration pipeline parameters from the custom settings
+    model = config_dict
+    parameters = create_graphrag_config(model, ".")
+
+    assert parameters.llm.api_key == "test"
+    assert parameters.llm.model == "test-llm"
+    assert parameters.llm.api_base == "http://test"
+    assert parameters.llm.api_version == "v1"
+    assert parameters.llm.deployment_name == "test"
+
+    # generate the pipeline from the default parameters
+    pipeline_config = create_pipeline_config(parameters, True)
+
+    config_str = pipeline_config.model_dump_json()
+    assert "${PIPELINE_LLM_API_KEY}" not in config_str
+    assert "${PIPELINE_LLM_API_BASE}" not in config_str
+    assert "${PIPELINE_LLM_API_VERSION}" not in config_str
+    assert "${PIPELINE_LLM_MODEL}" not in config_str
+    assert "${PIPELINE_LLM_DEPLOYMENT_NAME}" not in config_str
diff --git a/graphrag/tests/unit/indexing/__init__.py b/graphrag/tests/unit/indexing/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/unit/indexing/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/unit/indexing/cache/__init__.py b/graphrag/tests/unit/indexing/cache/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/unit/indexing/cache/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/unit/indexing/cache/test_file_pipeline_cache.py b/graphrag/tests/unit/indexing/cache/test_file_pipeline_cache.py
new file mode 100644
index 0000000000000000000000000000000000000000..ada3239602c3984210634fc23bd994ea1738f337
--- /dev/null
+++ b/graphrag/tests/unit/indexing/cache/test_file_pipeline_cache.py
@@ -0,0 +1,76 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import asyncio
+import os
+import unittest
+
+from graphrag.index.cache import (
+    JsonPipelineCache,
+)
+from graphrag.index.storage.file_pipeline_storage import (
+    FilePipelineStorage,
+)
+
+TEMP_DIR = "./.tmp"
+
+
+def create_cache():
+    storage = FilePipelineStorage(os.path.join(os.getcwd(), ".tmp"))
+    return JsonPipelineCache(storage)
+
+
+class TestFilePipelineCache(unittest.IsolatedAsyncioTestCase):
+    def setUp(self):
+        self.cache = create_cache()
+
+    def tearDown(self):
+        asyncio.run(self.cache.clear())
+
+    async def test_cache_clear(self):
+        # Create a cache directory
+        if not os.path.exists(TEMP_DIR):
+            os.mkdir(TEMP_DIR)
+        with open(f"{TEMP_DIR}/test1", "w") as f:
+            f.write("This is test1 file.")
+        with open(f"{TEMP_DIR}/test2", "w") as f:
+            f.write("This is test2 file.")
+
+        # this invokes cache.clear()
+        await self.cache.clear()
+
+        # Check if the cache directory is empty
+        files = os.listdir(TEMP_DIR)
+        assert len(files) == 0
+
+    async def test_child_cache(self):
+        await self.cache.set("test1", "test1")
+        assert os.path.exists(f"{TEMP_DIR}/test1")
+
+        child = self.cache.child("test")
+        assert os.path.exists(f"{TEMP_DIR}/test")
+
+        await child.set("test2", "test2")
+        assert os.path.exists(f"{TEMP_DIR}/test/test2")
+
+        await self.cache.set("test1", "test1")
+        await self.cache.delete("test1")
+        assert not os.path.exists(f"{TEMP_DIR}/test1")
+
+    async def test_cache_has(self):
+        test1 = "this is a test file"
+        await self.cache.set("test1", test1)
+
+        assert await self.cache.has("test1")
+        assert not await self.cache.has("NON_EXISTENT")
+        assert await self.cache.get("NON_EXISTENT") is None
+
+    async def test_get_set(self):
+        test1 = "this is a test file"
+        test2 = "\\n test"
+        test3 = "\\\\\\"
+        await self.cache.set("test1", test1)
+        await self.cache.set("test2", test2)
+        await self.cache.set("test3", test3)
+        assert await self.cache.get("test1") == test1
+        assert await self.cache.get("test2") == test2
+        assert await self.cache.get("test3") == test3
diff --git a/graphrag/tests/unit/indexing/config/__init__.py b/graphrag/tests/unit/indexing/config/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/unit/indexing/config/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/unit/indexing/config/default_config_with_everything_overridden.yml b/graphrag/tests/unit/indexing/config/default_config_with_everything_overridden.yml
new file mode 100644
index 0000000000000000000000000000000000000000..7a2f712e4677f92b4c955d845ca819107bc8ff81
--- /dev/null
+++ b/graphrag/tests/unit/indexing/config/default_config_with_everything_overridden.yml
@@ -0,0 +1,20 @@
+extends: default
+
+input:
+  file_type: text
+  base_dir: /some/overridden/dir
+  file_pattern: test.txt
+
+storage:
+  type: file
+
+cache:
+  type: file
+
+reporting:
+  type: file
+
+workflows:
+  - name: TEST_WORKFLOW
+    steps:
+      - verb: TEST_VERB
diff --git a/graphrag/tests/unit/indexing/config/default_config_with_overridden_input.yml b/graphrag/tests/unit/indexing/config/default_config_with_overridden_input.yml
new file mode 100644
index 0000000000000000000000000000000000000000..68631a315a3992b9821fee3dc0c61d39d7d88a68
--- /dev/null
+++ b/graphrag/tests/unit/indexing/config/default_config_with_overridden_input.yml
@@ -0,0 +1,5 @@
+extends: default
+input:
+  file_type: text
+  base_dir: /some/overridden/dir
+  file_pattern: test.txt
diff --git a/graphrag/tests/unit/indexing/config/default_config_with_overridden_workflows.yml b/graphrag/tests/unit/indexing/config/default_config_with_overridden_workflows.yml
new file mode 100644
index 0000000000000000000000000000000000000000..c3c9d07c2c9ffb31aa9f6cb34014774f0b889396
--- /dev/null
+++ b/graphrag/tests/unit/indexing/config/default_config_with_overridden_workflows.yml
@@ -0,0 +1,6 @@
+extends: default
+
+workflows:
+  - name: TEST_WORKFLOW
+    steps:
+      - verb: TEST_VERB
diff --git a/graphrag/tests/unit/indexing/config/helpers.py b/graphrag/tests/unit/indexing/config/helpers.py
new file mode 100644
index 0000000000000000000000000000000000000000..580d0a9fa7ecf5ad2c51fcf3d28fc8f3a83350d0
--- /dev/null
+++ b/graphrag/tests/unit/indexing/config/helpers.py
@@ -0,0 +1,59 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import json
+import unittest
+from typing import Any
+
+from graphrag.config import create_graphrag_config
+from graphrag.index import PipelineConfig, create_pipeline_config
+
+
+def assert_contains_default_config(
+    test_case: unittest.TestCase,
+    config: Any,
+    check_input=True,
+    check_storage=True,
+    check_reporting=True,
+    check_cache=True,
+    check_workflows=True,
+):
+    """Asserts that the config contains the default config."""
+    assert config is not None
+    assert isinstance(config, PipelineConfig)
+
+    checked_config = json.loads(
+        config.model_dump_json(exclude_defaults=True, exclude_unset=True)
+    )
+
+    actual_default_config = json.loads(
+        create_pipeline_config(create_graphrag_config()).model_dump_json(
+            exclude_defaults=True, exclude_unset=True
+        )
+    )
+    props_to_ignore = ["root_dir", "extends"]
+
+    # Make sure there is some sort of workflows
+    if not check_workflows:
+        props_to_ignore.append("workflows")
+
+    # Make sure it tries to load some sort of input
+    if not check_input:
+        props_to_ignore.append("input")
+
+    # Make sure it tries to load some sort of storage
+    if not check_storage:
+        props_to_ignore.append("storage")
+
+    # Make sure it tries to load some sort of reporting
+    if not check_reporting:
+        props_to_ignore.append("reporting")
+
+    # Make sure it tries to load some sort of cache
+    if not check_cache:
+        props_to_ignore.append("cache")
+
+    for prop in props_to_ignore:
+        checked_config.pop(prop, None)
+        actual_default_config.pop(prop, None)
+
+    assert actual_default_config == actual_default_config | checked_config
diff --git a/graphrag/tests/unit/indexing/config/test_load.py b/graphrag/tests/unit/indexing/config/test_load.py
new file mode 100644
index 0000000000000000000000000000000000000000..78f6a93a0a558302979a3e9f25820bd44ab0f017
--- /dev/null
+++ b/graphrag/tests/unit/indexing/config/test_load.py
@@ -0,0 +1,121 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT Licenses
+import json
+import os
+import unittest
+from pathlib import Path
+from typing import Any
+from unittest import mock
+
+from graphrag.config import create_graphrag_config
+from graphrag.index import (
+    PipelineConfig,
+    create_pipeline_config,
+    load_pipeline_config,
+)
+
+current_dir = os.path.dirname(__file__)
+
+
+class TestLoadPipelineConfig(unittest.TestCase):
+    @mock.patch.dict(os.environ, {"GRAPHRAG_API_KEY": "test"}, clear=True)
+    def test_config_passed_in_returns_config(self):
+        config = PipelineConfig()
+        result = load_pipeline_config(config)
+        assert result == config
+
+    @mock.patch.dict(os.environ, {"GRAPHRAG_API_KEY": "test"}, clear=True)
+    def test_loading_default_config_returns_config(self):
+        result = load_pipeline_config("default")
+        self.assert_is_default_config(result)
+
+    @mock.patch.dict(os.environ, {"GRAPHRAG_API_KEY": "test"}, clear=True)
+    def test_loading_default_config_with_input_overridden(self):
+        config = load_pipeline_config(
+            str(Path(current_dir) / "default_config_with_overridden_input.yml")
+        )
+
+        # Check that the config is merged
+        # but skip checking the input
+        self.assert_is_default_config(config, check_input=False)
+
+        if config.input is None:
+            msg = "Input should not be none"
+            raise Exception(msg)
+
+        # Check that the input is merged
+        assert config.input.file_pattern == "test.txt"
+        assert config.input.file_type == "text"
+        assert config.input.base_dir == "/some/overridden/dir"
+
+    @mock.patch.dict(os.environ, {"GRAPHRAG_API_KEY": "test"}, clear=True)
+    def test_loading_default_config_with_workflows_overridden(self):
+        config = load_pipeline_config(
+            str(Path(current_dir) / "default_config_with_overridden_workflows.yml")
+        )
+
+        # Check that the config is merged
+        # but skip checking the input
+        self.assert_is_default_config(config, check_workflows=False)
+
+        # Make sure the workflows are overridden
+        assert len(config.workflows) == 1
+        assert config.workflows[0].name == "TEST_WORKFLOW"
+        assert config.workflows[0].steps is not None
+        assert len(config.workflows[0].steps) == 1  # type: ignore
+        assert config.workflows[0].steps[0]["verb"] == "TEST_VERB"  # type: ignore
+
+    @mock.patch.dict(os.environ, {"GRAPHRAG_API_KEY": "test"}, clear=True)
+    def assert_is_default_config(
+        self,
+        config: Any,
+        check_input=True,
+        check_storage=True,
+        check_reporting=True,
+        check_cache=True,
+        check_workflows=True,
+    ):
+        assert config is not None
+        assert isinstance(config, PipelineConfig)
+
+        checked_config = json.loads(
+            config.model_dump_json(exclude_defaults=True, exclude_unset=True)
+        )
+
+        actual_default_config = json.loads(
+            create_pipeline_config(
+                create_graphrag_config(root_dir=".")
+            ).model_dump_json(exclude_defaults=True, exclude_unset=True)
+        )
+        props_to_ignore = ["root_dir", "extends"]
+
+        # Make sure there is some sort of workflows
+        if not check_workflows:
+            props_to_ignore.append("workflows")
+
+        # Make sure it tries to load some sort of input
+        if not check_input:
+            props_to_ignore.append("input")
+
+        # Make sure it tries to load some sort of storage
+        if not check_storage:
+            props_to_ignore.append("storage")
+
+        # Make sure it tries to load some sort of reporting
+        if not check_reporting:
+            props_to_ignore.append("reporting")
+
+        # Make sure it tries to load some sort of cache
+        if not check_cache:
+            props_to_ignore.append("cache")
+
+        for prop in props_to_ignore:
+            checked_config.pop(prop, None)
+            actual_default_config.pop(prop, None)
+
+        assert actual_default_config == actual_default_config | checked_config
+
+    def setUp(self) -> None:
+        os.environ["GRAPHRAG_OPENAI_API_KEY"] = "test"
+        os.environ["GRAPHRAG_OPENAI_EMBEDDING_API_KEY"] = "test"
+        return super().setUp()
diff --git a/graphrag/tests/unit/indexing/graph/__init__.py b/graphrag/tests/unit/indexing/graph/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/unit/indexing/graph/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/unit/indexing/graph/extractors/__init__.py b/graphrag/tests/unit/indexing/graph/extractors/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/unit/indexing/graph/extractors/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/unit/indexing/graph/extractors/community_reports/__init__.py b/graphrag/tests/unit/indexing/graph/extractors/community_reports/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/unit/indexing/graph/extractors/community_reports/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/unit/indexing/graph/extractors/community_reports/test_sort_context.py b/graphrag/tests/unit/indexing/graph/extractors/community_reports/test_sort_context.py
new file mode 100644
index 0000000000000000000000000000000000000000..9b6647887617a4b5ac8ef4fedcaee836ce16020b
--- /dev/null
+++ b/graphrag/tests/unit/indexing/graph/extractors/community_reports/test_sort_context.py
@@ -0,0 +1,204 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import math
+
+from graphrag.index.graph.extractors.community_reports import sort_context
+
+nan = math.nan
+
+
+def test_sort_context():
+    context: list[dict] = [
+        {
+            "title": "ALI BABA",
+            "degree": 1,
+            "node_details": {
+                "human_readable_id": 26,
+                "title": "ALI BABA",
+                "description": "A character from Scrooge's reading, representing a memory of his childhood imagination",
+                "degree": 1,
+            },
+            "edge_details": [
+                nan,
+                {
+                    "human_readable_id": 28,
+                    "source": "SCROOGE",
+                    "target": "ALI BABA",
+                    "description": "Scrooge recalls Ali Baba as a fond memory from his childhood readings",
+                    "rank": 32,
+                },
+            ],
+            "claim_details": [nan],
+        },
+        {
+            "title": "BELLE",
+            "degree": 1,
+            "node_details": {
+                "human_readable_id": 31,
+                "title": "BELLE",
+                "description": "A woman from Scrooge's past, reflecting on how Scrooge's pursuit of wealth changed him and led to the end of their relationship",
+                "degree": 1,
+            },
+            "edge_details": [
+                nan,
+                {
+                    "human_readable_id": 32,
+                    "source": "SCROOGE",
+                    "target": "BELLE",
+                    "description": "Belle and Scrooge were once engaged, but their relationship ended due to Scrooge's growing obsession with wealth",
+                    "rank": 32,
+                },
+            ],
+            "claim_details": [nan],
+        },
+        {
+            "title": "CHRISTMAS",
+            "degree": 1,
+            "node_details": {
+                "human_readable_id": 17,
+                "title": "CHRISTMAS",
+                "description": "A festive season that highlights the contrast between abundance and want, joy and misery in the story",
+                "degree": 1,
+            },
+            "edge_details": [
+                nan,
+                {
+                    "human_readable_id": 23,
+                    "source": "SCROOGE",
+                    "target": "CHRISTMAS",
+                    "description": "Scrooge's disdain for Christmas is a central theme, highlighting his miserliness and lack of compassion",
+                    "rank": 32,
+                },
+            ],
+            "claim_details": [nan],
+        },
+        {
+            "title": "CHRISTMAS DAY",
+            "degree": 1,
+            "node_details": {
+                "human_readable_id": 57,
+                "title": "CHRISTMAS DAY",
+                "description": "The day Scrooge realizes he hasn't missed the opportunity to celebrate and spread joy",
+                "degree": 1,
+            },
+            "edge_details": [
+                nan,
+                {
+                    "human_readable_id": 46,
+                    "source": "SCROOGE",
+                    "target": "CHRISTMAS DAY",
+                    "description": "Scrooge wakes up on Christmas Day with a changed heart, ready to celebrate and spread happiness",
+                    "rank": 32,
+                },
+            ],
+            "claim_details": [nan],
+        },
+        {
+            "title": "DUTCH MERCHANT",
+            "degree": 1,
+            "node_details": {
+                "human_readable_id": 19,
+                "title": "DUTCH MERCHANT",
+                "description": "A historical figure mentioned as having built the fireplace in Scrooge's home, adorned with tiles illustrating the Scriptures",
+                "degree": 1,
+            },
+            "edge_details": [
+                nan,
+                {
+                    "human_readable_id": 25,
+                    "source": "SCROOGE",
+                    "target": "DUTCH MERCHANT",
+                    "description": "Scrooge's fireplace, built by the Dutch Merchant, serves as a focal point in his room where he encounters Marley's Ghost",
+                    "rank": 32,
+                },
+            ],
+            "claim_details": [nan],
+        },
+        {
+            "title": "FAN",
+            "degree": 1,
+            "node_details": {
+                "human_readable_id": 27,
+                "title": "FAN",
+                "description": "Scrooge's sister, who comes to bring him home from school for Christmas, showing a loving family relationship",
+                "degree": 1,
+            },
+            "edge_details": [
+                nan,
+                {
+                    "human_readable_id": 29,
+                    "source": "SCROOGE",
+                    "target": "FAN",
+                    "description": "Fan is Scrooge's sister, who shows love and care by bringing him home for Christmas",
+                    "rank": 32,
+                },
+            ],
+            "claim_details": [nan],
+        },
+        {
+            "title": "FRED",
+            "degree": 1,
+            "node_details": {
+                "human_readable_id": 58,
+                "title": "FRED",
+                "description": "Scrooge's nephew, who invites Scrooge to Christmas dinner, symbolizing family reconciliation",
+                "degree": 1,
+            },
+            "edge_details": [
+                nan,
+                {
+                    "human_readable_id": 47,
+                    "source": "SCROOGE",
+                    "target": "FRED",
+                    "description": "Scrooge accepts Fred's invitation to Christmas dinner, marking a significant step in repairing their relationship",
+                    "rank": 32,
+                },
+            ],
+            "claim_details": [nan],
+        },
+        {
+            "title": "GENTLEMAN",
+            "degree": 1,
+            "node_details": {
+                "human_readable_id": 15,
+                "title": "GENTLEMAN",
+                "description": "Represents charitable efforts to provide for the poor during the Christmas season",
+                "degree": 1,
+            },
+            "edge_details": [
+                nan,
+                {
+                    "human_readable_id": 21,
+                    "source": "SCROOGE",
+                    "target": "GENTLEMAN",
+                    "description": "The gentleman approaches Scrooge to solicit donations for the poor, which Scrooge rebuffs",
+                    "rank": 32,
+                },
+            ],
+            "claim_details": [nan],
+        },
+        {
+            "title": "GHOST",
+            "degree": 1,
+            "node_details": {
+                "human_readable_id": 25,
+                "title": "GHOST",
+                "description": "The Ghost is a spectral entity that plays a crucial role in guiding Scrooge through an introspective journey in Charles Dickens' classic tale. This spirit, likely one of the Christmas spirits, takes Scrooge on a transformative voyage through his past memories, the realities of his present, and the potential outcomes of his future. The purpose of this journey is to make Scrooge reflect deeply on his life, encouraging a profound understanding of the joy and meaning of Christmas. By showing Scrooge scenes from his life, including the potential fate of Tiny Tim, the Ghost rebukes Scrooge for his lack of compassion, ultimately aiming to instill in him a sense of responsibility and empathy towards others. Through this experience, the Ghost seeks to enlighten Scrooge, urging him to change his ways for the better.",
+                "degree": 1,
+            },
+            "edge_details": [
+                nan,
+                {
+                    "human_readable_id": 27,
+                    "source": "SCROOGE",
+                    "target": "GHOST",
+                    "description": "The Ghost is taking Scrooge on a transformative journey by showing him scenes from his past, aiming to make him reflect on his life choices and their consequences. This spectral guide is not only focusing on Scrooge's personal history but also emphasizing the importance of Christmas and the need for a change in perspective. Through these vivid reenactments, the Ghost highlights the error of Scrooge's ways and the significant impact his actions have on others, including Tiny Tim. This experience is designed to enlighten Scrooge, encouraging him to reconsider his approach to life and the people around him.",
+                    "rank": 32,
+                },
+            ],
+            "claim_details": [nan],
+        },
+    ]
+
+    ctx = sort_context(context)
+    assert ctx is not None
diff --git a/graphrag/tests/unit/indexing/graph/utils/__init__.py b/graphrag/tests/unit/indexing/graph/utils/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/unit/indexing/graph/utils/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/unit/indexing/graph/utils/test_stable_lcc.py b/graphrag/tests/unit/indexing/graph/utils/test_stable_lcc.py
new file mode 100644
index 0000000000000000000000000000000000000000..02ddc2989a98a938fc9ba0da657d70132ba47616
--- /dev/null
+++ b/graphrag/tests/unit/indexing/graph/utils/test_stable_lcc.py
@@ -0,0 +1,71 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import unittest
+
+import networkx as nx
+
+from graphrag.index.graph.utils.stable_lcc import stable_largest_connected_component
+
+
+class TestStableLCC(unittest.TestCase):
+    def test_undirected_graph_run_twice_produces_same_graph(self):
+        graph_in_1 = self._create_strongly_connected_graph()
+        graph_out_1 = stable_largest_connected_component(graph_in_1)
+
+        graph_in_2 = self._create_strongly_connected_graph_with_edges_flipped()
+        graph_out_2 = stable_largest_connected_component(graph_in_2)
+
+        # Make sure they're the same
+        assert "".join(nx.generate_graphml(graph_out_1)) == "".join(
+            nx.generate_graphml(graph_out_2)
+        )
+
+    def test_directed_graph_keeps_source_target_intact(self):
+        # create the test graph as a directed graph
+        graph_in = self._create_strongly_connected_graph_with_edges_flipped(
+            digraph=True
+        )
+        graph_out = stable_largest_connected_component(graph_in.copy())
+
+        # Make sure edges are the same and the direction is preserved
+        edges_1 = [f"{edge[0]} -> {edge[1]}" for edge in graph_in.edges(data=True)]
+        edges_2 = [f"{edge[0]} -> {edge[1]}" for edge in graph_out.edges(data=True)]
+
+        assert edges_1 == edges_2
+
+    def test_directed_graph_run_twice_produces_same_graph(self):
+        # create the test graph as a directed graph
+        graph_in = self._create_strongly_connected_graph_with_edges_flipped(
+            digraph=True
+        )
+        graph_out_1 = stable_largest_connected_component(graph_in.copy())
+        graph_out_2 = stable_largest_connected_component(graph_in.copy())
+
+        # Make sure the output is identical when run multiple times
+        assert "".join(nx.generate_graphml(graph_out_1)) == "".join(
+            nx.generate_graphml(graph_out_2)
+        )
+
+    def _create_strongly_connected_graph(self, digraph=False):
+        graph = nx.Graph() if not digraph else nx.DiGraph()
+        graph.add_node("1", node_name=1)
+        graph.add_node("2", node_name=2)
+        graph.add_node("3", node_name=3)
+        graph.add_node("4", node_name=4)
+        graph.add_edge("4", "5", degree=4)
+        graph.add_edge("3", "4", degree=3)
+        graph.add_edge("2", "3", degree=2)
+        graph.add_edge("1", "2", degree=1)
+        return graph
+
+    def _create_strongly_connected_graph_with_edges_flipped(self, digraph=False):
+        graph = nx.Graph() if not digraph else nx.DiGraph()
+        graph.add_node("1", node_name=1)
+        graph.add_node("2", node_name=2)
+        graph.add_node("3", node_name=3)
+        graph.add_node("4", node_name=4)
+        graph.add_edge("5", "4", degree=4)
+        graph.add_edge("4", "3", degree=3)
+        graph.add_edge("3", "2", degree=2)
+        graph.add_edge("2", "1", degree=1)
+        return graph
diff --git a/graphrag/tests/unit/indexing/storage/__init__.py b/graphrag/tests/unit/indexing/storage/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/unit/indexing/storage/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/unit/indexing/storage/test_blob_pipeline_storage.py b/graphrag/tests/unit/indexing/storage/test_blob_pipeline_storage.py
new file mode 100644
index 0000000000000000000000000000000000000000..d2ea8683477a32d949e76f8bcafdb6d67488ecfb
--- /dev/null
+++ b/graphrag/tests/unit/indexing/storage/test_blob_pipeline_storage.py
@@ -0,0 +1,96 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+"""Blob Storage Tests."""
+
+import re
+
+from graphrag.index.storage.blob_pipeline_storage import BlobPipelineStorage
+
+# cspell:disable-next-line well-known-key
+WELL_KNOWN_BLOB_STORAGE_KEY = "DefaultEndpointsProtocol=http;AccountName=devstoreaccount1;AccountKey=Eby8vdM02xNOcqFlqUwJPLlmEtlCDXJ1OUzFT50uSRZ6IFsuFq2UVErCz4I6tq/K1SZFPTOtr/KBHBeksoGMGw==;BlobEndpoint=http://127.0.0.1:10000/devstoreaccount1;"
+
+
+async def test_find():
+    storage = BlobPipelineStorage(
+        connection_string=WELL_KNOWN_BLOB_STORAGE_KEY,
+        container_name="testfind",
+    )
+    try:
+        try:
+            items = list(
+                storage.find(base_dir="input", file_pattern=re.compile(r".*\.txt$"))
+            )
+            items = [item[0] for item in items]
+            assert items == []
+
+            await storage.set(
+                "input/christmas.txt", "Merry Christmas!", encoding="utf-8"
+            )
+            items = list(
+                storage.find(base_dir="input", file_pattern=re.compile(r".*\.txt$"))
+            )
+            items = [item[0] for item in items]
+            assert items == ["input/christmas.txt"]
+
+            await storage.set("test.txt", "Hello, World!", encoding="utf-8")
+            items = list(storage.find(file_pattern=re.compile(r".*\.txt$")))
+            items = [item[0] for item in items]
+            assert items == ["input/christmas.txt", "test.txt"]
+
+            output = await storage.get("test.txt")
+            assert output == "Hello, World!"
+        finally:
+            await storage.delete("test.txt")
+            output = await storage.get("test.txt")
+            assert output is None
+    finally:
+        storage.delete_container()
+
+
+async def test_dotprefix():
+    storage = BlobPipelineStorage(
+        connection_string=WELL_KNOWN_BLOB_STORAGE_KEY,
+        container_name="testfind",
+        path_prefix=".",
+    )
+    try:
+        await storage.set("input/christmas.txt", "Merry Christmas!", encoding="utf-8")
+        items = list(storage.find(file_pattern=re.compile(r".*\.txt$")))
+        items = [item[0] for item in items]
+        assert items == ["input/christmas.txt"]
+    finally:
+        storage.delete_container()
+
+
+async def test_child():
+    parent = BlobPipelineStorage(
+        connection_string=WELL_KNOWN_BLOB_STORAGE_KEY,
+        container_name="testchild",
+    )
+    try:
+        try:
+            storage = parent.child("input")
+            await storage.set("christmas.txt", "Merry Christmas!", encoding="utf-8")
+            items = list(storage.find(re.compile(r".*\.txt$")))
+            items = [item[0] for item in items]
+            assert items == ["christmas.txt"]
+
+            await storage.set("test.txt", "Hello, World!", encoding="utf-8")
+            items = list(storage.find(re.compile(r".*\.txt$")))
+            items = [item[0] for item in items]
+            print("FOUND", items)
+            assert items == ["christmas.txt", "test.txt"]
+
+            output = await storage.get("test.txt")
+            assert output == "Hello, World!"
+
+            items = list(parent.find(re.compile(r".*\.txt$")))
+            items = [item[0] for item in items]
+            print("FOUND ITEMS", items)
+            assert items == ["input/christmas.txt", "input/test.txt"]
+        finally:
+            await parent.delete("input/test.txt")
+            has_test = await parent.has("input/test.txt")
+            assert not has_test
+    finally:
+        parent.delete_container()
diff --git a/graphrag/tests/unit/indexing/storage/test_file_pipeline_storage.py b/graphrag/tests/unit/indexing/storage/test_file_pipeline_storage.py
new file mode 100644
index 0000000000000000000000000000000000000000..643c2a9f69b757c73d1a77dd79135070788bab51
--- /dev/null
+++ b/graphrag/tests/unit/indexing/storage/test_file_pipeline_storage.py
@@ -0,0 +1,50 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+"""Blob Storage Tests."""
+
+import os
+import re
+from pathlib import Path
+
+from graphrag.index.storage.file_pipeline_storage import FilePipelineStorage
+
+__dirname__ = os.path.dirname(__file__)
+
+
+async def test_find():
+    storage = FilePipelineStorage()
+    items = list(
+        storage.find(
+            base_dir="tests/fixtures/text",
+            file_pattern=re.compile(r".*\.txt$"),
+            progress=None,
+            file_filter=None,
+        )
+    )
+    assert items == [(str(Path("tests/fixtures/text/input/dulce.txt")), {})]
+    output = await storage.get("tests/fixtures/text/input/dulce.txt")
+    assert len(output) > 0
+
+    await storage.set("test.txt", "Hello, World!", encoding="utf-8")
+    output = await storage.get("test.txt")
+    assert output == "Hello, World!"
+    await storage.delete("test.txt")
+    output = await storage.get("test.txt")
+    assert output is None
+
+
+async def test_child():
+    storage = FilePipelineStorage()
+    storage = storage.child("tests/fixtures/text")
+    items = list(storage.find(re.compile(r".*\.txt$")))
+    assert items == [(str(Path("input/dulce.txt")), {})]
+
+    output = await storage.get("input/dulce.txt")
+    assert len(output) > 0
+
+    await storage.set("test.txt", "Hello, World!", encoding="utf-8")
+    output = await storage.get("test.txt")
+    assert output == "Hello, World!"
+    await storage.delete("test.txt")
+    output = await storage.get("test.txt")
+    assert output is None
diff --git a/graphrag/tests/unit/indexing/test_exports.py b/graphrag/tests/unit/indexing/test_exports.py
new file mode 100644
index 0000000000000000000000000000000000000000..232dfbbdf304e2acbacfb99938b007166828cca8
--- /dev/null
+++ b/graphrag/tests/unit/indexing/test_exports.py
@@ -0,0 +1,13 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+from graphrag.index import (
+    create_pipeline_config,
+    run_pipeline,
+    run_pipeline_with_config,
+)
+
+
+def test_exported_functions():
+    assert callable(create_pipeline_config)
+    assert callable(run_pipeline_with_config)
+    assert callable(run_pipeline)
diff --git a/graphrag/tests/unit/indexing/test_init_content.py b/graphrag/tests/unit/indexing/test_init_content.py
new file mode 100644
index 0000000000000000000000000000000000000000..eeb641cbf6fd7f4d871aed8c1f3095ec5942882d
--- /dev/null
+++ b/graphrag/tests/unit/indexing/test_init_content.py
@@ -0,0 +1,33 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+
+import re
+from typing import Any, cast
+
+import yaml
+
+from graphrag.config import (
+    GraphRagConfig,
+    create_graphrag_config,
+)
+from graphrag.index.init_content import INIT_YAML
+
+
+def test_init_yaml():
+    data = yaml.load(INIT_YAML, Loader=yaml.FullLoader)
+    config = create_graphrag_config(data)
+    GraphRagConfig.model_validate(config, strict=True)
+
+
+def test_init_yaml_uncommented():
+    lines = INIT_YAML.splitlines()
+    lines = [line for line in lines if "##" not in line]
+
+    def uncomment_line(line: str) -> str:
+        leading_whitespace = cast(Any, re.search(r"^(\s*)", line)).group(1)
+        return re.sub(r"^\s*# ", leading_whitespace, line, count=1)
+
+    content = "\n".join([uncomment_line(line) for line in lines])
+    data = yaml.load(content, Loader=yaml.FullLoader)
+    config = create_graphrag_config(data)
+    GraphRagConfig.model_validate(config, strict=True)
diff --git a/graphrag/tests/unit/indexing/verbs/__init__.py b/graphrag/tests/unit/indexing/verbs/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/unit/indexing/verbs/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/unit/indexing/verbs/entities/__init__.py b/graphrag/tests/unit/indexing/verbs/entities/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/unit/indexing/verbs/entities/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/unit/indexing/verbs/entities/extraction/__init__.py b/graphrag/tests/unit/indexing/verbs/entities/extraction/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/unit/indexing/verbs/entities/extraction/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/unit/indexing/verbs/entities/extraction/strategies/__init__.py b/graphrag/tests/unit/indexing/verbs/entities/extraction/strategies/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/unit/indexing/verbs/entities/extraction/strategies/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/__init__.py b/graphrag/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/test_gi_entity_extraction.py b/graphrag/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/test_gi_entity_extraction.py
new file mode 100644
index 0000000000000000000000000000000000000000..1ebca2bf247a601ab08e84460e603933fe04718c
--- /dev/null
+++ b/graphrag/tests/unit/indexing/verbs/entities/extraction/strategies/graph_intelligence/test_gi_entity_extraction.py
@@ -0,0 +1,221 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import unittest
+
+import networkx as nx
+
+from graphrag.index.verbs.entities.extraction.strategies.graph_intelligence.run_graph_intelligence import (
+    Document,
+    run_extract_entities,
+)
+from tests.unit.indexing.verbs.helpers.mock_llm import create_mock_llm
+
+
+class TestRunChain(unittest.IsolatedAsyncioTestCase):
+    async def test_run_extract_entities_single_document_correct_entities_returned(self):
+        results = await run_extract_entities(
+            docs=[Document("test_text", "1")],
+            entity_types=["person"],
+            reporter=None,
+            args={
+                "prechunked": True,
+                "max_gleanings": 0,
+                "summarize_descriptions": False,
+            },
+            llm=create_mock_llm(
+                responses=[
+                    """
+                    ("entity"<|>TEST_ENTITY_1<|>COMPANY<|>TEST_ENTITY_1 is a test company)
+                    ##
+                    ("entity"<|>TEST_ENTITY_2<|>COMPANY<|>TEST_ENTITY_2 owns TEST_ENTITY_1 and also shares an address with TEST_ENTITY_1)
+                    ##
+                    ("entity"<|>TEST_ENTITY_3<|>PERSON<|>TEST_ENTITY_3 is director of TEST_ENTITY_1)
+                    ##
+                    ("relationship"<|>TEST_ENTITY_1<|>TEST_ENTITY_2<|>TEST_ENTITY_1 and TEST_ENTITY_2 are related because TEST_ENTITY_1 is 100% owned by TEST_ENTITY_2 and the two companies also share the same address)<|>2)
+                    ##
+                    ("relationship"<|>TEST_ENTITY_1<|>TEST_ENTITY_3<|>TEST_ENTITY_1 and TEST_ENTITY_3 are related because TEST_ENTITY_3 is director of TEST_ENTITY_1<|>1))
+                    """.strip()
+                ]
+            ),
+        )
+
+        # self.assertItemsEqual isn't available yet, or I am just silly
+        # so we sort the lists and compare them
+        assert sorted(["TEST_ENTITY_1", "TEST_ENTITY_2", "TEST_ENTITY_3"]) == sorted([
+            entity["name"] for entity in results.entities
+        ])
+
+    async def test_run_extract_entities_multiple_documents_correct_entities_returned(
+        self,
+    ):
+        results = await run_extract_entities(
+            docs=[Document("text_1", "1"), Document("text_2", "2")],
+            entity_types=["person"],
+            reporter=None,
+            args={
+                "prechunked": True,
+                "max_gleanings": 0,
+                "summarize_descriptions": False,
+            },
+            llm=create_mock_llm(
+                responses=[
+                    """
+                    ("entity"<|>TEST_ENTITY_1<|>COMPANY<|>TEST_ENTITY_1 is a test company)
+                    ##
+                    ("entity"<|>TEST_ENTITY_2<|>COMPANY<|>TEST_ENTITY_2 owns TEST_ENTITY_1 and also shares an address with TEST_ENTITY_1)
+                    ##
+                    ("relationship"<|>TEST_ENTITY_1<|>TEST_ENTITY_2<|>TEST_ENTITY_1 and TEST_ENTITY_2 are related because TEST_ENTITY_1 is 100% owned by TEST_ENTITY_2 and the two companies also share the same address)<|>2)
+                    ##
+                    """.strip(),
+                    """
+                    ("entity"<|>TEST_ENTITY_1<|>COMPANY<|>TEST_ENTITY_1 is a test company)
+                    ##
+                    ("entity"<|>TEST_ENTITY_3<|>PERSON<|>TEST_ENTITY_3 is director of TEST_ENTITY_1)
+                    ##
+                    ("relationship"<|>TEST_ENTITY_1<|>TEST_ENTITY_3<|>TEST_ENTITY_1 and TEST_ENTITY_3 are related because TEST_ENTITY_3 is director of TEST_ENTITY_1<|>1))
+                    """.strip(),
+                ]
+            ),
+        )
+
+        # self.assertItemsEqual isn't available yet, or I am just silly
+        # so we sort the lists and compare them
+        assert sorted(["TEST_ENTITY_1", "TEST_ENTITY_2", "TEST_ENTITY_3"]) == sorted([
+            entity["name"] for entity in results.entities
+        ])
+
+    async def test_run_extract_entities_multiple_documents_correct_edges_returned(self):
+        results = await run_extract_entities(
+            docs=[Document("text_1", "1"), Document("text_2", "2")],
+            entity_types=["person"],
+            reporter=None,
+            args={
+                "prechunked": True,
+                "max_gleanings": 0,
+                "summarize_descriptions": False,
+            },
+            llm=create_mock_llm(
+                responses=[
+                    """
+                    ("entity"<|>TEST_ENTITY_1<|>COMPANY<|>TEST_ENTITY_1 is a test company)
+                    ##
+                    ("entity"<|>TEST_ENTITY_2<|>COMPANY<|>TEST_ENTITY_2 owns TEST_ENTITY_1 and also shares an address with TEST_ENTITY_1)
+                    ##
+                    ("relationship"<|>TEST_ENTITY_1<|>TEST_ENTITY_2<|>TEST_ENTITY_1 and TEST_ENTITY_2 are related because TEST_ENTITY_1 is 100% owned by TEST_ENTITY_2 and the two companies also share the same address)<|>2)
+                    ##
+                    """.strip(),
+                    """
+                    ("entity"<|>TEST_ENTITY_1<|>COMPANY<|>TEST_ENTITY_1 is a test company)
+                    ##
+                    ("entity"<|>TEST_ENTITY_3<|>PERSON<|>TEST_ENTITY_3 is director of TEST_ENTITY_1)
+                    ##
+                    ("relationship"<|>TEST_ENTITY_1<|>TEST_ENTITY_3<|>TEST_ENTITY_1 and TEST_ENTITY_3 are related because TEST_ENTITY_3 is director of TEST_ENTITY_1<|>1))
+                    """.strip(),
+                ]
+            ),
+        )
+
+        # self.assertItemsEqual isn't available yet, or I am just silly
+        # so we sort the lists and compare them
+        assert results.graphml_graph is not None, "No graphml graph returned!"
+        graph = nx.parse_graphml(results.graphml_graph)  # type: ignore
+
+        # convert to strings for more visual comparison
+        edges_str = sorted([f"{edge[0]} -> {edge[1]}" for edge in graph.edges])
+        assert edges_str == sorted([
+            "TEST_ENTITY_1 -> TEST_ENTITY_2",
+            "TEST_ENTITY_1 -> TEST_ENTITY_3",
+        ])
+
+    async def test_run_extract_entities_multiple_documents_correct_entity_source_ids_mapped(
+        self,
+    ):
+        results = await run_extract_entities(
+            docs=[Document("text_1", "1"), Document("text_2", "2")],
+            entity_types=["person"],
+            reporter=None,
+            args={
+                "prechunked": True,
+                "max_gleanings": 0,
+                "summarize_descriptions": False,
+            },
+            llm=create_mock_llm(
+                responses=[
+                    """
+                    ("entity"<|>TEST_ENTITY_1<|>COMPANY<|>TEST_ENTITY_1 is a test company)
+                    ##
+                    ("entity"<|>TEST_ENTITY_2<|>COMPANY<|>TEST_ENTITY_2 owns TEST_ENTITY_1 and also shares an address with TEST_ENTITY_1)
+                    ##
+                    ("relationship"<|>TEST_ENTITY_1<|>TEST_ENTITY_2<|>TEST_ENTITY_1 and TEST_ENTITY_2 are related because TEST_ENTITY_1 is 100% owned by TEST_ENTITY_2 and the two companies also share the same address)<|>2)
+                    ##
+                    """.strip(),
+                    """
+                    ("entity"<|>TEST_ENTITY_1<|>COMPANY<|>TEST_ENTITY_1 is a test company)
+                    ##
+                    ("entity"<|>TEST_ENTITY_3<|>PERSON<|>TEST_ENTITY_3 is director of TEST_ENTITY_1)
+                    ##
+                    ("relationship"<|>TEST_ENTITY_1<|>TEST_ENTITY_3<|>TEST_ENTITY_1 and TEST_ENTITY_3 are related because TEST_ENTITY_3 is director of TEST_ENTITY_1<|>1))
+                    """.strip(),
+                ]
+            ),
+        )
+
+        assert results.graphml_graph is not None, "No graphml graph returned!"
+        graph = nx.parse_graphml(results.graphml_graph)  # type: ignore
+
+        # TODO: The edges might come back in any order, but we're assuming they're coming
+        # back in the order that we passed in the docs, that might not be true
+        assert (
+            graph.nodes["TEST_ENTITY_3"].get("source_id") == "2"
+        )  # TEST_ENTITY_3 should be in just 2
+        assert (
+            graph.nodes["TEST_ENTITY_2"].get("source_id") == "1"
+        )  # TEST_ENTITY_2 should be in just 1
+        assert sorted(
+            graph.nodes["TEST_ENTITY_1"].get("source_id").split(",")
+        ) == sorted(["1", "2"])  # TEST_ENTITY_1 should be 1 and 2
+
+    async def test_run_extract_entities_multiple_documents_correct_edge_source_ids_mapped(
+        self,
+    ):
+        results = await run_extract_entities(
+            docs=[Document("text_1", "1"), Document("text_2", "2")],
+            entity_types=["person"],
+            reporter=None,
+            args={
+                "prechunked": True,
+                "max_gleanings": 0,
+                "summarize_descriptions": False,
+            },
+            llm=create_mock_llm(
+                responses=[
+                    """
+                    ("entity"<|>TEST_ENTITY_1<|>COMPANY<|>TEST_ENTITY_1 is a test company)
+                    ##
+                    ("entity"<|>TEST_ENTITY_2<|>COMPANY<|>TEST_ENTITY_2 owns TEST_ENTITY_1 and also shares an address with TEST_ENTITY_1)
+                    ##
+                    ("relationship"<|>TEST_ENTITY_1<|>TEST_ENTITY_2<|>TEST_ENTITY_1 and TEST_ENTITY_2 are related because TEST_ENTITY_1 is 100% owned by TEST_ENTITY_2 and the two companies also share the same address)<|>2)
+                    ##
+                    """.strip(),
+                    """
+                    ("entity"<|>TEST_ENTITY_1<|>COMPANY<|>TEST_ENTITY_1 is a test company)
+                    ##
+                    ("entity"<|>TEST_ENTITY_3<|>PERSON<|>TEST_ENTITY_3 is director of TEST_ENTITY_1)
+                    ##
+                    ("relationship"<|>TEST_ENTITY_1<|>TEST_ENTITY_3<|>TEST_ENTITY_1 and TEST_ENTITY_3 are related because TEST_ENTITY_3 is director of TEST_ENTITY_1<|>1))
+                    """.strip(),
+                ]
+            ),
+        )
+
+        assert results.graphml_graph is not None, "No graphml graph returned!"
+        graph = nx.parse_graphml(results.graphml_graph)  # type: ignore
+        edges = list(graph.edges(data=True))
+
+        # should only have 2 edges
+        assert len(edges) == 2
+
+        # Sort by source_id for consistent ordering
+        edge_source_ids = sorted([edge[2].get("source_id", "") for edge in edges])  # type: ignore
+        assert edge_source_ids[0].split(",") == ["1"]  # type: ignore
+        assert edge_source_ids[1].split(",") == ["2"]  # type: ignore
diff --git a/graphrag/tests/unit/indexing/verbs/helpers/__init__.py b/graphrag/tests/unit/indexing/verbs/helpers/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/unit/indexing/verbs/helpers/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/unit/indexing/verbs/helpers/mock_llm.py b/graphrag/tests/unit/indexing/verbs/helpers/mock_llm.py
new file mode 100644
index 0000000000000000000000000000000000000000..ba27da9c682df9fb04578c0f6dff772b5988bd30
--- /dev/null
+++ b/graphrag/tests/unit/indexing/verbs/helpers/mock_llm.py
@@ -0,0 +1,10 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+from graphrag.llm import CompletionLLM, MockChatLLM
+
+
+def create_mock_llm(
+    responses: list[str],
+) -> CompletionLLM:
+    """Creates a mock LLM that returns the given responses."""
+    return MockChatLLM(responses)
diff --git a/graphrag/tests/unit/indexing/verbs/text/__init__.py b/graphrag/tests/unit/indexing/verbs/text/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/unit/indexing/verbs/text/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/unit/indexing/verbs/text/test_split.py b/graphrag/tests/unit/indexing/verbs/text/test_split.py
new file mode 100644
index 0000000000000000000000000000000000000000..d9ced0640f5dc4272f311f03f02f1c2944ab32ec
--- /dev/null
+++ b/graphrag/tests/unit/indexing/verbs/text/test_split.py
@@ -0,0 +1,51 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import unittest
+
+import pandas as pd
+import pytest
+
+from graphrag.index.verbs.text.split import text_split_df
+
+
+class TestTextSplit(unittest.TestCase):
+    def test_empty_string(self):
+        input = pd.DataFrame([{"in": ""}])
+        result = text_split_df(input, "in", "out", ",").to_dict(orient="records")
+
+        assert len(result) == 1
+        assert result[0]["out"] == []
+
+    def test_string_without_seperator(self):
+        input = pd.DataFrame([{"in": "test_string_without_seperator"}])
+        result = text_split_df(input, "in", "out", ",").to_dict(orient="records")
+
+        assert len(result) == 1
+        assert result[0]["out"] == ["test_string_without_seperator"]
+
+    def test_string_with_seperator(self):
+        input = pd.DataFrame([{"in": "test_1,test_2"}])
+        result = text_split_df(input, "in", "out", ",").to_dict(orient="records")
+
+        assert len(result) == 1
+        assert result[0]["out"] == ["test_1", "test_2"]
+
+    def test_row_with_list_as_column(self):
+        input = pd.DataFrame([{"in": ["test_1", "test_2"]}])
+        result = text_split_df(input, "in", "out", ",").to_dict(orient="records")
+
+        assert len(result) == 1
+        assert result[0]["out"] == ["test_1", "test_2"]
+
+    def test_non_string_column_throws_error(self):
+        input = pd.DataFrame([{"in": 5}])
+        with pytest.raises(TypeError):
+            text_split_df(input, "in", "out", ",").to_dict(orient="records")
+
+    def test_more_than_one_row_returns_correctly(self):
+        input = pd.DataFrame([{"in": "row_1_1,row_1_2"}, {"in": "row_2_1,row_2_2"}])
+        result = text_split_df(input, "in", "out", ",").to_dict(orient="records")
+
+        assert len(result) == 2
+        assert result[0]["out"] == ["row_1_1", "row_1_2"]
+        assert result[1]["out"] == ["row_2_1", "row_2_2"]
diff --git a/graphrag/tests/unit/indexing/workflows/__init__.py b/graphrag/tests/unit/indexing/workflows/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..0a3e38adfb9fc92bbba9f4ee103a96f7d6092a02
--- /dev/null
+++ b/graphrag/tests/unit/indexing/workflows/__init__.py
@@ -0,0 +1,2 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
diff --git a/graphrag/tests/unit/indexing/workflows/helpers.py b/graphrag/tests/unit/indexing/workflows/helpers.py
new file mode 100644
index 0000000000000000000000000000000000000000..512e8294c22201b7d5d75fa6321e19510136faea
--- /dev/null
+++ b/graphrag/tests/unit/indexing/workflows/helpers.py
@@ -0,0 +1,31 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+mock_verbs = {
+    "mock_verb": lambda x: x,
+    "mock_verb_2": lambda x: x,
+}
+
+mock_workflows = {
+    "mock_workflow": lambda _x: [
+        {
+            "verb": "mock_verb",
+            "args": {
+                "column": "test",
+            },
+        }
+    ],
+    "mock_workflow_2": lambda _x: [
+        {
+            "verb": "mock_verb",
+            "args": {
+                "column": "test",
+            },
+        },
+        {
+            "verb": "mock_verb_2",
+            "args": {
+                "column": "test",
+            },
+        },
+    ],
+}
diff --git a/graphrag/tests/unit/indexing/workflows/test_load.py b/graphrag/tests/unit/indexing/workflows/test_load.py
new file mode 100644
index 0000000000000000000000000000000000000000..6d037d51a5d569eddea6e1ae8dcfe9854badef01
--- /dev/null
+++ b/graphrag/tests/unit/indexing/workflows/test_load.py
@@ -0,0 +1,237 @@
+# Copyright (c) 2024 Microsoft Corporation.
+# Licensed under the MIT License
+import unittest
+
+import pytest
+
+from graphrag.index.config import PipelineWorkflowReference
+from graphrag.index.errors import UnknownWorkflowError
+from graphrag.index.workflows.load import create_workflow, load_workflows
+
+from .helpers import mock_verbs, mock_workflows
+
+
+class TestCreateWorkflow(unittest.TestCase):
+    def test_workflow_with_steps_should_not_fail(self):
+        create_workflow(
+            "workflow_with_steps",
+            [
+                {
+                    "verb": "mock_verb",
+                    "args": {
+                        "column": "test",
+                    },
+                }
+            ],
+            config=None,
+            additional_verbs=mock_verbs,
+        )
+
+    def test_non_existent_workflow_without_steps_should_crash(self):
+        # since we don't have a workflow named "test", and the user didn't provide any steps, we should crash
+        # since we don't know what to do
+        with pytest.raises(UnknownWorkflowError):
+            create_workflow("test", None, config=None, additional_verbs=mock_verbs)
+
+    def test_existing_workflow_should_not_crash(self):
+        create_workflow(
+            "mock_workflow",
+            None,
+            config=None,
+            additional_verbs=mock_verbs,
+            additional_workflows=mock_workflows,
+        )
+
+
+class TestLoadWorkflows(unittest.TestCase):
+    def test_non_existent_workflow_should_crash(self):
+        with pytest.raises(UnknownWorkflowError):
+            load_workflows(
+                [
+                    PipelineWorkflowReference(
+                        name="some_workflow_that_does_not_exist",
+                        config=None,
+                    )
+                ],
+                additional_workflows=mock_workflows,
+                additional_verbs=mock_verbs,
+            )
+
+    def test_single_workflow_should_not_crash(self):
+        load_workflows(
+            [
+                PipelineWorkflowReference(
+                    name="mock_workflow",
+                    config=None,
+                )
+            ],
+            additional_workflows=mock_workflows,
+            additional_verbs=mock_verbs,
+        )
+
+    def test_multiple_workflows_should_not_crash(self):
+        load_workflows(
+            [
+                PipelineWorkflowReference(
+                    name="mock_workflow",
+                    config=None,
+                ),
+                PipelineWorkflowReference(
+                    name="mock_workflow_2",
+                    config=None,
+                ),
+            ],
+            # the two above are in the "mock_workflows" list
+            additional_workflows=mock_workflows,
+            additional_verbs=mock_verbs,
+        )
+
+    def test_two_interdependent_workflows_should_provide_correct_order(self):
+        ordered_workflows, _deps = load_workflows(
+            [
+                PipelineWorkflowReference(
+                    name="interdependent_workflow_1",
+                    steps=[
+                        {
+                            "verb": "mock_verb",
+                            "args": {
+                                "column": "test",
+                            },
+                            "input": {
+                                "source": "workflow:interdependent_workflow_2"
+                            },  # This one is dependent on the second one, so when it comes out of load_workflows, it should be first
+                        }
+                    ],
+                ),
+                PipelineWorkflowReference(
+                    name="interdependent_workflow_2",
+                    steps=[
+                        {
+                            "verb": "mock_verb",
+                            "args": {
+                                "column": "test",
+                            },
+                        }
+                    ],
+                ),
+            ],
+            # the two above are in the "mock_workflows" list
+            additional_workflows=mock_workflows,
+            additional_verbs=mock_verbs,
+        )
+
+        # two should only come out
+        assert len(ordered_workflows) == 2
+        assert ordered_workflows[0].workflow.name == "interdependent_workflow_2"
+        assert ordered_workflows[1].workflow.name == "interdependent_workflow_1"
+
+    def test_three_interdependent_workflows_should_provide_correct_order(self):
+        ordered_workflows, _deps = load_workflows(
+            [
+                PipelineWorkflowReference(
+                    name="interdependent_workflow_3",
+                    steps=[
+                        {
+                            "verb": "mock_verb",
+                            "args": {
+                                "column": "test",
+                            },
+                        }
+                    ],
+                ),
+                PipelineWorkflowReference(
+                    name="interdependent_workflow_1",
+                    steps=[
+                        {
+                            "verb": "mock_verb",
+                            "args": {
+                                "column": "test",
+                            },
+                            "input": {"source": "workflow:interdependent_workflow_2"},
+                        }
+                    ],
+                ),
+                PipelineWorkflowReference(
+                    name="interdependent_workflow_2",
+                    steps=[
+                        {
+                            "verb": "mock_verb",
+                            "args": {
+                                "column": "test",
+                            },
+                            "input": {"source": "workflow:interdependent_workflow_3"},
+                        }
+                    ],
+                ),
+            ],
+            # the two above are in the "mock_workflows" list
+            additional_workflows=mock_workflows,
+            additional_verbs=mock_verbs,
+        )
+
+        order = [
+            "interdependent_workflow_3",
+            "interdependent_workflow_2",
+            "interdependent_workflow_1",
+        ]
+        assert [x.workflow.name for x in ordered_workflows] == order
+
+    def test_two_workflows_dependent_on_another_single_workflow_should_provide_correct_order(
+        self,
+    ):
+        ordered_workflows, _deps = load_workflows(
+            [
+                # Workflows 1 and 2 are dependent on 3, so 3 should come out first
+                PipelineWorkflowReference(
+                    name="interdependent_workflow_3",
+                    steps=[
+                        {
+                            "verb": "mock_verb",
+                            "args": {
+                                "column": "test",
+                            },
+                        }
+                    ],
+                ),
+                PipelineWorkflowReference(
+                    name="interdependent_workflow_1",
+                    steps=[
+                        {
+                            "verb": "mock_verb",
+                            "args": {
+                                "column": "test",
+                            },
+                            "input": {"source": "workflow:interdependent_workflow_3"},
+                        }
+                    ],
+                ),
+                PipelineWorkflowReference(
+                    name="interdependent_workflow_2",
+                    steps=[
+                        {
+                            "verb": "mock_verb",
+                            "args": {
+                                "column": "test",
+                            },
+                            "input": {"source": "workflow:interdependent_workflow_3"},
+                        }
+                    ],
+                ),
+            ],
+            # the two above are in the "mock_workflows" list
+            additional_workflows=mock_workflows,
+            additional_verbs=mock_verbs,
+        )
+
+        assert len(ordered_workflows) == 3
+        assert ordered_workflows[0].workflow.name == "interdependent_workflow_3"
+
+        # The order of the other two doesn't matter, but they need to be there
+        assert ordered_workflows[1].workflow.name in [
+            "interdependent_workflow_1",
+            "interdependent_workflow_2",
+        ]
+        assert ordered_workflows[2].workflow.name in [
+            "interdependent_workflow_1",
+            "interdependent_workflow_2",
+        ]
diff --git a/index_app.py b/index_app.py
new file mode 100644
index 0000000000000000000000000000000000000000..5db5c3d8e0244f2cc4cfa9db2ff37faae0ed3f27
--- /dev/null
+++ b/index_app.py
@@ -0,0 +1,1041 @@
+import gradio as gr
+import requests
+import logging
+import os
+import json
+import shutil
+import glob
+import queue
+import lancedb
+from datetime import datetime
+from dotenv import load_dotenv, set_key
+import yaml
+import pandas as pd
+from typing import List, Optional
+from pydantic import BaseModel
+
+# Set up logging
+log_queue = queue.Queue()
+logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
+logger = logging.getLogger(__name__)
+
+load_dotenv('indexing/.env')
+
+API_BASE_URL = os.getenv('API_BASE_URL', 'http://localhost:8012')
+LLM_API_BASE = os.getenv('LLM_API_BASE', 'http://localhost:11434')
+EMBEDDINGS_API_BASE = os.getenv('EMBEDDINGS_API_BASE', 'http://localhost:11434')
+ROOT_DIR = os.getenv('ROOT_DIR', 'indexing')  
+
+# Data models
+class IndexingRequest(BaseModel):
+    llm_model: str
+    embed_model: str
+    llm_api_base: str
+    embed_api_base: str
+    root: str
+    verbose: bool = False
+    nocache: bool = False
+    resume: Optional[str] = None
+    reporter: str = "rich"
+    emit: List[str] = ["parquet"]
+    custom_args: Optional[str] = None
+
+class PromptTuneRequest(BaseModel):
+    root: str = "./{ROOT_DIR}"
+    domain: Optional[str] = None
+    method: str = "random"
+    limit: int = 15
+    language: Optional[str] = None
+    max_tokens: int = 2000
+    chunk_size: int = 200
+    no_entity_types: bool = False
+    output: str = "./{ROOT_DIR}/prompts"
+
+class QueueHandler(logging.Handler):
+    def __init__(self, log_queue):
+        super().__init__()
+        self.log_queue = log_queue
+
+    def emit(self, record):
+        self.log_queue.put(self.format(record))
+queue_handler = QueueHandler(log_queue)
+logging.getLogger().addHandler(queue_handler)
+
+
+def update_logs():
+    logs = []
+    while not log_queue.empty():
+        logs.append(log_queue.get())
+    return "\n".join(logs)
+
+##########SETTINGS################
+def load_settings():
+    config_path = os.getenv('GRAPHRAG_CONFIG', 'config.yaml')
+    if os.path.exists(config_path):
+        with open(config_path, 'r') as config_file:
+            config = yaml.safe_load(config_file)
+    else:
+        config = {}
+
+    settings = {
+        'llm_model': os.getenv('LLM_MODEL', config.get('llm_model')),
+        'embedding_model': os.getenv('EMBEDDINGS_MODEL', config.get('embedding_model')),
+        'community_level': int(os.getenv('COMMUNITY_LEVEL', config.get('community_level', 2))),
+        'token_limit': int(os.getenv('TOKEN_LIMIT', config.get('token_limit', 4096))),
+        'api_key': os.getenv('GRAPHRAG_API_KEY', config.get('api_key')),
+        'api_base': os.getenv('LLM_API_BASE', config.get('api_base')),
+        'embeddings_api_base': os.getenv('EMBEDDINGS_API_BASE', config.get('embeddings_api_base')),
+        'api_type': os.getenv('API_TYPE', config.get('api_type', 'openai')),
+    }
+
+    return settings
+
+
+#######FILE_MANAGEMENT##############
+def list_output_files(root_dir):
+    output_dir = os.path.join(root_dir, "output")
+    files = []
+    for root, _, filenames in os.walk(output_dir):
+        for filename in filenames:
+            files.append(os.path.join(root, filename))
+    return files
+
+def update_file_list():
+    files = list_input_files()
+    return gr.update(choices=[f["path"] for f in files])
+
+def update_file_content(file_path):
+    if not file_path:
+        return ""
+    try:
+        with open(file_path, 'r', encoding='utf-8') as file:
+            content = file.read()
+        return content
+    except Exception as e:
+        logging.error(f"Error reading file: {str(e)}")
+        return f"Error reading file: {str(e)}"
+
+def list_output_folders():
+    output_dir = os.path.join(ROOT_DIR, "output")
+    folders = [f for f in os.listdir(output_dir) if os.path.isdir(os.path.join(output_dir, f))]
+    return sorted(folders, reverse=True)
+
+def update_output_folder_list():
+    folders = list_output_folders()
+    return gr.update(choices=folders, value=folders[0] if folders else None)
+
+def list_folder_contents(folder_name):
+    folder_path = os.path.join(ROOT_DIR, "output", folder_name, "artifacts")
+    contents = []
+    if os.path.exists(folder_path):
+        for item in os.listdir(folder_path):
+            item_path = os.path.join(folder_path, item)
+            if os.path.isdir(item_path):
+                contents.append(f"[DIR] {item}")
+            else:
+                _, ext = os.path.splitext(item)
+                contents.append(f"[{ext[1:].upper()}] {item}")
+    return contents
+
+def update_folder_content_list(folder_name):
+    if isinstance(folder_name, list) and folder_name:
+        folder_name = folder_name[0]  
+    elif not folder_name:
+        return gr.update(choices=[])  
+    
+    contents = list_folder_contents(folder_name)
+    return gr.update(choices=contents)
+
+def handle_content_selection(folder_name, selected_item):
+    if isinstance(selected_item, list) and selected_item:
+        selected_item = selected_item[0]  # Take the first item if it's a list
+    
+    if isinstance(selected_item, str) and selected_item.startswith("[DIR]"):
+        dir_name = selected_item[6:]  # Remove "[DIR] " prefix
+        sub_contents = list_folder_contents(os.path.join(ROOT_DIR, "output", folder_name, dir_name))
+        return gr.update(choices=sub_contents), "", ""
+    elif isinstance(selected_item, str):
+        file_name = selected_item.split("] ")[1] if "]" in selected_item else selected_item  # Remove file type prefix if present
+        file_path = os.path.join(ROOT_DIR, "output", folder_name, "artifacts", file_name)
+        file_size = os.path.getsize(file_path)
+        file_type = os.path.splitext(file_name)[1]
+        file_info = f"File: {file_name}\nSize: {file_size} bytes\nType: {file_type}"
+        content = read_file_content(file_path)
+        return gr.update(), file_info, content
+    else:
+        return gr.update(), "", ""
+
+def initialize_selected_folder(folder_name):
+    if not folder_name:
+        return "Please select a folder first.", gr.update(choices=[])
+    folder_path = os.path.join(ROOT_DIR, "output", folder_name, "artifacts")
+    if not os.path.exists(folder_path):
+        return f"Artifacts folder not found in '{folder_name}'.", gr.update(choices=[])
+    contents = list_folder_contents(folder_path)
+    return f"Folder '{folder_name}/artifacts' initialized with {len(contents)} items.", gr.update(choices=contents)
+
+def upload_file(file):
+    if file is not None:
+        input_dir = os.path.join(ROOT_DIR, 'input')
+        os.makedirs(input_dir, exist_ok=True)
+        
+        # Get the original filename from the uploaded file
+        original_filename = file.name
+        
+        # Create the destination path
+        destination_path = os.path.join(input_dir, os.path.basename(original_filename))
+        
+        # Move the uploaded file to the destination path
+        shutil.move(file.name, destination_path)
+        
+        logging.info(f"File uploaded and moved to: {destination_path}")
+        status = f"File uploaded: {os.path.basename(original_filename)}"
+    else:
+        status = "No file uploaded"
+
+    # Get the updated file list
+    updated_file_list = [f["path"] for f in list_input_files()]
+    
+    return status, gr.update(choices=updated_file_list), update_logs()
+
+def list_input_files():
+    input_dir = os.path.join(ROOT_DIR, 'input')
+    files = []
+    if os.path.exists(input_dir):
+        files = [f for f in os.listdir(input_dir) if os.path.isfile(os.path.join(input_dir, f))]
+    return [{"name": f, "path": os.path.join(input_dir, f)} for f in files]
+
+def delete_file(file_path):
+    try:
+        os.remove(file_path)
+        logging.info(f"File deleted: {file_path}")
+        status = f"File deleted: {os.path.basename(file_path)}"
+    except Exception as e:
+        logging.error(f"Error deleting file: {str(e)}")
+        status = f"Error deleting file: {str(e)}"
+
+    # Get the updated file list
+    updated_file_list = [f["path"] for f in list_input_files()]
+    
+    return status, gr.update(choices=updated_file_list), update_logs()
+
+def read_file_content(file_path):
+    try:
+        if file_path.endswith('.parquet'):
+            df = pd.read_parquet(file_path)
+            
+            # Get basic information about the DataFrame
+            info = f"Parquet File: {os.path.basename(file_path)}\n"
+            info += f"Rows: {len(df)}, Columns: {len(df.columns)}\n\n"
+            info += "Column Names:\n" + "\n".join(df.columns) + "\n\n"
+            
+            # Display first few rows
+            info += "First 5 rows:\n"
+            info += df.head().to_string() + "\n\n"
+            
+            # Display basic statistics
+            info += "Basic Statistics:\n"
+            info += df.describe().to_string()
+            
+            return info
+        else:
+            with open(file_path, 'r', encoding='utf-8', errors='replace') as file:
+                content = file.read()
+        return content
+    except Exception as e:
+        logging.error(f"Error reading file: {str(e)}")
+        return f"Error reading file: {str(e)}"
+
+def save_file_content(file_path, content):
+    try:
+        with open(file_path, 'w') as file:
+            file.write(content)
+        logging.info(f"File saved: {file_path}")
+        status = f"File saved: {os.path.basename(file_path)}"
+    except Exception as e:
+        logging.error(f"Error saving file: {str(e)}")
+        status = f"Error saving file: {str(e)}"
+    return status, update_logs()
+
+def manage_data():
+    db = lancedb.connect(f"{ROOT_DIR}/lancedb")
+    tables = db.table_names()
+    table_info = ""
+    if tables:
+        table = db[tables[0]]
+        table_info = f"Table: {tables[0]}\nSchema: {table.schema}"
+    
+    input_files = list_input_files()
+    
+    return {
+        "database_info": f"Tables: {', '.join(tables)}\n\n{table_info}",
+        "input_files": input_files
+    }
+
+
+def find_latest_graph_file(root_dir):
+    pattern = os.path.join(root_dir, "output", "*", "artifacts", "*.graphml")
+    graph_files = glob.glob(pattern)
+    if not graph_files:
+        # If no files found, try excluding .DS_Store
+        output_dir = os.path.join(root_dir, "output")
+        run_dirs = [d for d in os.listdir(output_dir) if os.path.isdir(os.path.join(output_dir, d)) and d != ".DS_Store"]
+        if run_dirs:
+            latest_run = max(run_dirs)
+            pattern = os.path.join(root_dir, "output", latest_run, "artifacts", "*.graphml")
+            graph_files = glob.glob(pattern)
+    
+    if not graph_files:
+        return None
+    
+    # Sort files by modification time, most recent first
+    latest_file = max(graph_files, key=os.path.getmtime)
+    return latest_file
+
+def find_latest_output_folder():
+    root_dir =f"{ROOT_DIR}/output"
+    folders = [f for f in os.listdir(root_dir) if os.path.isdir(os.path.join(root_dir, f))]
+    
+    if not folders:
+        raise ValueError("No output folders found")
+    
+    # Sort folders by creation time, most recent first
+    sorted_folders = sorted(folders, key=lambda x: os.path.getctime(os.path.join(root_dir, x)), reverse=True)
+    
+    latest_folder = None
+    timestamp = None
+    
+    for folder in sorted_folders:
+        try:
+            # Try to parse the folder name as a timestamp
+            timestamp = datetime.strptime(folder, "%Y%m%d-%H%M%S")
+            latest_folder = folder
+            break
+        except ValueError:
+            # If the folder name is not a valid timestamp, skip it
+            continue
+    
+    if latest_folder is None:
+        raise ValueError("No valid timestamp folders found")
+    
+    latest_path = os.path.join(root_dir, latest_folder)
+    artifacts_path = os.path.join(latest_path, "artifacts")
+    
+    if not os.path.exists(artifacts_path):
+        raise ValueError(f"Artifacts folder not found in {latest_path}")
+    
+    return latest_path, latest_folder
+
+def initialize_data():
+    global entity_df, relationship_df, text_unit_df, report_df, covariate_df
+    
+    tables = {
+        "entity_df": "create_final_nodes",
+        "relationship_df": "create_final_edges",
+        "text_unit_df": "create_final_text_units",
+        "report_df": "create_final_reports",
+        "covariate_df": "create_final_covariates"
+    }
+    
+    timestamp = None  # Initialize timestamp to None
+    
+    try:
+        latest_output_folder, timestamp = find_latest_output_folder()
+        artifacts_folder = os.path.join(latest_output_folder, "artifacts")
+        
+        for df_name, file_prefix in tables.items():
+            file_pattern = os.path.join(artifacts_folder, f"{file_prefix}*.parquet")
+            matching_files = glob.glob(file_pattern)
+            
+            if matching_files:
+                latest_file = max(matching_files, key=os.path.getctime)
+                df = pd.read_parquet(latest_file)
+                globals()[df_name] = df
+                logging.info(f"Successfully loaded {df_name} from {latest_file}")
+            else:
+                logging.warning(f"No matching file found for {df_name} in {artifacts_folder}. Initializing as an empty DataFrame.")
+                globals()[df_name] = pd.DataFrame()
+    
+    except Exception as e:
+        logging.error(f"Error initializing data: {str(e)}")
+        for df_name in tables.keys():
+            globals()[df_name] = pd.DataFrame()
+
+    return timestamp
+
+# Call initialize_data and store the timestamp
+current_timestamp = initialize_data()
+
+
+###########MODELS##################
+def normalize_api_base(api_base: str) -> str:
+    """Normalize the API base URL by removing trailing slashes and /v1 or /api suffixes."""
+    api_base = api_base.rstrip('/')
+    if api_base.endswith('/v1') or api_base.endswith('/api'):
+        api_base = api_base[:-3]
+    return api_base
+
+def is_ollama_api(base_url: str) -> bool:
+    """Check if the given base URL is for Ollama API."""
+    try:
+        response = requests.get(f"{normalize_api_base(base_url)}/api/tags")
+        return response.status_code == 200
+    except requests.RequestException:
+        return False
+
+def get_ollama_models(base_url: str) -> List[str]:
+    """Fetch available models from Ollama API."""
+    try:
+        response = requests.get(f"{normalize_api_base(base_url)}/api/tags")
+        response.raise_for_status()
+        models = response.json().get('models', [])
+        return [model['name'] for model in models]
+    except requests.RequestException as e:
+        logger.error(f"Error fetching Ollama models: {str(e)}")
+        return []
+
+def get_openai_compatible_models(base_url: str) -> List[str]:
+    """Fetch available models from OpenAI-compatible API."""
+    try:
+        response = requests.get(f"{normalize_api_base(base_url)}/v1/models")
+        response.raise_for_status()
+        models = response.json().get('data', [])
+        return [model['id'] for model in models]
+    except requests.RequestException as e:
+        logger.error(f"Error fetching OpenAI-compatible models: {str(e)}")
+        return []
+
+def get_local_models(base_url: str) -> List[str]:
+    """Get available models based on the API type."""
+    if is_ollama_api(base_url):
+        return get_ollama_models(base_url)
+    else:
+        return get_openai_compatible_models(base_url)
+
+def get_model_params(base_url: str, model_name: str) -> dict:
+    """Get model parameters for Ollama models."""
+    if is_ollama_api(base_url):
+        try:
+            response = requests.post(f"{normalize_api_base(base_url)}/api/show", json={"name": model_name})
+            response.raise_for_status()
+            model_info = response.json()
+            return model_info.get('parameters', {})
+        except requests.RequestException as e:
+            logger.error(f"Error fetching Ollama model parameters: {str(e)}")
+    return {}
+
+
+
+
+
+
+
+
+#########API###########
+def start_indexing(request: IndexingRequest):
+    url = f"{API_BASE_URL}/v1/index"
+    
+    try:
+        response = requests.post(url, json=request.dict())
+        response.raise_for_status()
+        result = response.json()
+        return result['message'], gr.update(interactive=False), gr.update(interactive=True)
+    except requests.RequestException as e:
+        logger.error(f"Error starting indexing: {str(e)}")
+        return f"Error: {str(e)}", gr.update(interactive=True), gr.update(interactive=False)
+    
+def check_indexing_status():
+    url = f"{API_BASE_URL}/v1/index_status"
+    try:
+        response = requests.get(url)
+        response.raise_for_status()
+        result = response.json()
+        return result['status'], "\n".join(result['logs'])
+    except requests.RequestException as e:
+        logger.error(f"Error checking indexing status: {str(e)}")
+        return "Error", f"Failed to check indexing status: {str(e)}"
+
+def start_prompt_tuning(request: PromptTuneRequest):
+    url = f"{API_BASE_URL}/v1/prompt_tune"
+    
+    try:
+        response = requests.post(url, json=request.dict())
+        response.raise_for_status()
+        result = response.json()
+        return result['message'], gr.update(interactive=False)
+    except requests.RequestException as e:
+        logger.error(f"Error starting prompt tuning: {str(e)}")
+        return f"Error: {str(e)}", gr.update(interactive=True)
+
+def check_prompt_tuning_status():
+    url = f"{API_BASE_URL}/v1/prompt_tune_status"
+    try:
+        response = requests.get(url)
+        response.raise_for_status()
+        result = response.json()
+        return result['status'], "\n".join(result['logs'])
+    except requests.RequestException as e:
+        logger.error(f"Error checking prompt tuning status: {str(e)}")
+        return "Error", f"Failed to check prompt tuning status: {str(e)}"
+
+def update_model_params(model_name):
+    params = get_model_params(model_name)
+    return gr.update(value=json.dumps(params, indent=2))
+
+
+
+
+
+
+
+
+
+###########################
+css = """
+html, body {
+    margin: 0;
+    padding: 0;
+    height: 100vh;
+    overflow: hidden;
+}
+
+.gradio-container {
+    margin: 0 !important;
+    padding: 0 !important;
+    width: 100vw !important;
+    max-width: 100vw !important;
+    height: 100vh !important;
+    max-height: 100vh !important;
+    overflow: auto;
+    display: flex;
+    flex-direction: column;
+}
+
+#main-container {
+    flex: 1;
+    display: flex;
+    overflow: hidden;
+}
+
+#left-column, #right-column {
+    height: 100%;
+    overflow-y: auto;
+    padding: 10px;
+}
+
+#left-column {
+    flex: 1;
+}
+
+#right-column {
+    flex: 2;
+    display: flex;
+    flex-direction: column;
+}
+
+#chat-container {
+    flex: 0 0 auto;  /* Don't allow this to grow */
+    height: 100%;
+    display: flex;
+    flex-direction: column;
+    overflow: hidden;
+    border: 1px solid var(--color-accent);
+    border-radius: 8px;
+    padding: 10px;
+    overflow-y: auto;
+}
+
+#chatbot {
+    overflow-y: hidden;
+    height: 100%;
+}
+
+#chat-input-row {
+    margin-top: 10px;
+}
+
+#visualization-plot {
+    width: 100%;
+    aspect-ratio: 1 / 1;
+    max-height: 600px;  /* Adjust this value as needed */
+}
+
+#vis-controls-row {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    margin-top: 10px;
+}
+
+#vis-controls-row > * {
+    flex: 1;
+    margin: 0 5px;
+}
+
+#vis-status {
+    margin-top: 10px;
+}
+
+/* Chat input styling */
+#chat-input-row {
+    display: flex;
+    flex-direction: column;
+}
+
+#chat-input-row > div {
+    width: 100% !important;
+}
+
+#chat-input-row input[type="text"] {
+    width: 100% !important;
+}
+
+/* Adjust padding for all containers */
+.gr-box, .gr-form, .gr-panel {
+    padding: 10px !important;
+}
+
+/* Ensure all textboxes and textareas have full height */
+.gr-textbox, .gr-textarea {
+    height: auto !important;
+    min-height: 100px !important;
+}
+
+/* Ensure all dropdowns have full width */
+.gr-dropdown {
+    width: 100% !important;
+}
+
+:root {
+    --color-background: #2C3639;
+    --color-foreground: #3F4E4F;
+    --color-accent: #A27B5C;
+    --color-text: #DCD7C9;
+}
+
+body, .gradio-container {
+    background-color: var(--color-background);
+    color: var(--color-text);
+}
+
+.gr-button {
+    background-color: var(--color-accent);
+    color: var(--color-text);
+}
+
+.gr-input, .gr-textarea, .gr-dropdown {
+    background-color: var(--color-foreground);
+    color: var(--color-text);
+    border: 1px solid var(--color-accent);
+}
+
+.gr-panel {
+    background-color: var(--color-foreground);
+    border: 1px solid var(--color-accent);
+}
+
+.gr-box {
+    border-radius: 8px;
+    margin-bottom: 10px;
+    background-color: var(--color-foreground);
+}
+
+.gr-padded {
+    padding: 10px;
+}
+
+.gr-form {
+    background-color: var(--color-foreground);
+}
+
+.gr-input-label, .gr-radio-label {
+    color: var(--color-text);
+}
+
+.gr-checkbox-label {
+    color: var(--color-text);
+}
+
+.gr-markdown {
+    color: var(--color-text);
+}
+
+.gr-accordion {
+    background-color: var(--color-foreground);
+    border: 1px solid var(--color-accent);
+}
+
+.gr-accordion-header {
+    background-color: var(--color-accent);
+    color: var(--color-text);
+}
+
+#visualization-container {
+    display: flex;
+    flex-direction: column;
+    border: 2px solid var(--color-accent);
+    border-radius: 8px;
+    margin-top: 20px;
+    padding: 10px;
+    background-color: var(--color-foreground);
+    height: calc(100vh - 300px);  /* Adjust this value as needed */
+}
+
+#visualization-plot {
+    width: 100%;
+    height: 100%;
+}
+
+#vis-controls-row {
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    margin-top: 10px;
+}
+
+#vis-controls-row > * {
+    flex: 1;
+    margin: 0 5px;
+}
+
+#vis-status {
+    margin-top: 10px;
+}
+
+#log-container {
+    background-color: var(--color-foreground);
+    border: 1px solid var(--color-accent);
+    border-radius: 8px;
+    padding: 10px;
+    margin-top: 20px;
+    max-height: auto;
+    overflow-y: auto;
+}
+
+.setting-accordion .label-wrap {
+    cursor: pointer;
+}
+
+.setting-accordion .icon {
+    transition: transform 0.3s ease;
+}
+
+.setting-accordion[open] .icon {
+    transform: rotate(90deg);
+}
+
+.gr-form.gr-box {
+    border: none !important;
+    background: none !important;
+}
+
+.model-params {
+    border-top: 1px solid var(--color-accent);
+    margin-top: 10px;
+    padding-top: 10px;
+}
+"""
+
+
+def create_interface():
+    settings = load_settings()
+    llm_api_base = normalize_api_base(settings['api_base'])
+    embeddings_api_base = normalize_api_base(settings['embeddings_api_base'])
+
+    with gr.Blocks(theme=gr.themes.Base(), css=css) as demo:
+        gr.Markdown("# GraphRAG Indexer")
+        
+        with gr.Tabs():
+            with gr.TabItem("Indexing"):
+                with gr.Row():
+                    with gr.Column(scale=1):
+                        gr.Markdown("## Indexing Configuration")
+                        
+                        with gr.Row():
+                            llm_name = gr.Dropdown(label="LLM Model", choices=[], value=settings['llm_model'], allow_custom_value=True)
+                            refresh_llm_btn = gr.Button("🔄", size='sm', scale=0)
+                        
+                        with gr.Row():
+                            embed_name = gr.Dropdown(label="Embedding Model", choices=[], value=settings['embedding_model'], allow_custom_value=True)
+                            refresh_embed_btn = gr.Button("🔄", size='sm', scale=0)
+                        
+                        save_config_button = gr.Button("Save Configuration", variant="primary")
+                        config_status = gr.Textbox(label="Configuration Status", lines=2)
+                        
+                        with gr.Row():
+                                with gr.Column(scale=1):
+                                    root_dir = gr.Textbox(label="Root Directory (Edit in .env file)", value=f"{ROOT_DIR}")      
+                        with gr.Group():                                                         
+                            verbose = gr.Checkbox(label="Verbose", interactive=True, value=True)
+                            nocache = gr.Checkbox(label="No Cache", interactive=True, value=True)
+                        
+                        with gr.Accordion("Advanced Options", open=True):
+                            resume = gr.Textbox(label="Resume Timestamp (optional)")
+                            reporter = gr.Dropdown(
+                                label="Reporter",
+                                choices=["rich", "print", "none"],
+                                value="rich",
+                                interactive=True
+                            )
+                            emit_formats = gr.CheckboxGroup(
+                                label="Emit Formats",
+                                choices=["json", "csv", "parquet"],
+                                value=["parquet"],
+                                interactive=True
+                            )
+                            custom_args = gr.Textbox(label="Custom CLI Arguments", placeholder="--arg1 value1 --arg2 value2")
+                    
+                    with gr.Column(scale=1):
+                        gr.Markdown("## Indexing Output")
+                        index_output = gr.Textbox(label="Output", lines=10)
+                        index_status = gr.Textbox(label="Status", lines=2)
+                        
+                        run_index_button = gr.Button("Run Indexing", variant="primary")
+                        check_status_button = gr.Button("Check Indexing Status")
+
+
+            with gr.TabItem("Prompt Tuning"):
+                with gr.Row():
+                    with gr.Column(scale=1):
+                        gr.Markdown("## Prompt Tuning Configuration")
+                        
+                        pt_root = gr.Textbox(label="Root Directory", value=f"{ROOT_DIR}", interactive=True)
+                        pt_domain = gr.Textbox(label="Domain (optional)")
+                        pt_method = gr.Dropdown(
+                            label="Method",
+                            choices=["random", "top", "all"],
+                            value="random",
+                            interactive=True
+                        )
+                        pt_limit = gr.Number(label="Limit", value=15, precision=0, interactive=True)
+                        pt_language = gr.Textbox(label="Language (optional)")
+                        pt_max_tokens = gr.Number(label="Max Tokens", value=2000, precision=0, interactive=True)
+                        pt_chunk_size = gr.Number(label="Chunk Size", value=200, precision=0, interactive=True)
+                        pt_no_entity_types = gr.Checkbox(label="No Entity Types", value=False)
+                        pt_output_dir = gr.Textbox(label="Output Directory", value=f"{ROOT_DIR}/prompts", interactive=True)
+                        save_pt_config_button = gr.Button("Save Prompt Tuning Configuration", variant="primary")
+                        
+                    with gr.Column(scale=1):
+                        gr.Markdown("## Prompt Tuning Output")
+                        pt_output = gr.Textbox(label="Output", lines=10)
+                        pt_status = gr.Textbox(label="Status", lines=10)
+                        
+                        run_pt_button = gr.Button("Run Prompt Tuning", variant="primary")
+                        check_pt_status_button = gr.Button("Check Prompt Tuning Status")
+
+            with gr.TabItem("Data Management"):
+                with gr.Row():
+                    with gr.Column(scale=1):
+                        with gr.Accordion("File Upload", open=True):
+                            file_upload = gr.File(label="Upload File", file_types=[".txt", ".csv", ".parquet"])
+                            upload_btn = gr.Button("Upload File", variant="primary")
+                            upload_output = gr.Textbox(label="Upload Status", visible=True)
+                        
+                        with gr.Accordion("File Management", open=True):
+                            file_list = gr.Dropdown(label="Select File", choices=[], interactive=True)
+                            refresh_btn = gr.Button("Refresh File List", variant="secondary")
+                            
+                            file_content = gr.TextArea(label="File Content", lines=10)
+                            
+                            with gr.Row():
+                                delete_btn = gr.Button("Delete Selected File", variant="stop")
+                                save_btn = gr.Button("Save Changes", variant="primary")
+                            
+                            operation_status = gr.Textbox(label="Operation Status", visible=True)
+                    
+                    with gr.Column(scale=1):
+                        with gr.Accordion("Output Folders", open=True):
+                            output_folder_list = gr.Dropdown(label="Select Output Folder", choices=[], interactive=True)
+                            refresh_output_btn = gr.Button("Refresh Output Folders", variant="secondary")
+                            folder_content_list = gr.Dropdown(label="Folder Contents", choices=[], interactive=True, multiselect=False)
+                            
+                            file_info = gr.Textbox(label="File Info", lines=3)
+                            output_content = gr.TextArea(label="File Content", lines=10)
+
+                        
+
+        # Event handlers
+        def refresh_llm_models():
+            models = get_local_models(llm_api_base)
+            return gr.update(choices=models)
+
+        def refresh_embed_models():
+            models = get_local_models(embeddings_api_base)
+            return gr.update(choices=models)
+
+        refresh_llm_btn.click(
+            refresh_llm_models,
+            outputs=[llm_name]
+        )
+
+        refresh_embed_btn.click(
+            refresh_embed_models,
+            outputs=[embed_name]
+        )
+
+        # Initialize model lists on page load
+        demo.load(refresh_llm_models, outputs=[llm_name])
+        demo.load(refresh_embed_models, outputs=[embed_name])
+
+        def create_indexing_request():
+            return IndexingRequest(
+                llm_model=llm_name.value,
+                embed_model=embed_name.value,
+                llm_api_base=llm_api_base,
+                embed_api_base=embeddings_api_base,
+                root=root_dir.value,
+                verbose=verbose.value,
+                nocache=nocache.value,
+                resume=resume.value if resume.value else None,
+                reporter=reporter.value,
+                emit=[fmt for fmt in emit_formats.value],
+                custom_args=custom_args.value if custom_args.value else None
+            )
+
+        run_index_button.click(
+            lambda: start_indexing(create_indexing_request()),
+            outputs=[index_output, run_index_button, check_status_button]
+        )
+
+        check_status_button.click(
+            check_indexing_status,
+            outputs=[index_status, index_output]
+        )
+
+        def create_prompt_tune_request():
+            return PromptTuneRequest(
+                root=pt_root.value,
+                domain=pt_domain.value if pt_domain.value else None,
+                method=pt_method.value,
+                limit=int(pt_limit.value),
+                language=pt_language.value if pt_language.value else None,
+                max_tokens=int(pt_max_tokens.value),
+                chunk_size=int(pt_chunk_size.value),
+                no_entity_types=pt_no_entity_types.value,
+                output=pt_output_dir.value
+            )
+
+        def update_pt_output(request):
+            result, button_update = start_prompt_tuning(request)
+            return result, button_update, gr.update(value=f"Request: {request.dict()}")
+
+        run_pt_button.click(
+            lambda: update_pt_output(create_prompt_tune_request()),
+            outputs=[pt_output, run_pt_button, pt_status]
+        )
+
+        check_pt_status_button.click(
+            check_prompt_tuning_status,
+            outputs=[pt_status, pt_output]
+        )
+
+        # Add event handlers for real-time updates
+        pt_root.change(lambda x: gr.update(value=f"Root Directory changed to: {x}"), inputs=[pt_root], outputs=[pt_status])
+        pt_limit.change(lambda x: gr.update(value=f"Limit changed to: {x}"), inputs=[pt_limit], outputs=[pt_status])
+        pt_max_tokens.change(lambda x: gr.update(value=f"Max Tokens changed to: {x}"), inputs=[pt_max_tokens], outputs=[pt_status])
+        pt_chunk_size.change(lambda x: gr.update(value=f"Chunk Size changed to: {x}"), inputs=[pt_chunk_size], outputs=[pt_status])
+        pt_output_dir.change(lambda x: gr.update(value=f"Output Directory changed to: {x}"), inputs=[pt_output_dir], outputs=[pt_status])
+
+        # Event handlers for Data Management
+        upload_btn.click(
+            upload_file,
+            inputs=[file_upload],
+            outputs=[upload_output, file_list, operation_status]
+        )
+
+        refresh_btn.click(
+            update_file_list,
+            outputs=[file_list]
+        )
+
+        refresh_output_btn.click(
+            update_output_folder_list,
+            outputs=[output_folder_list]
+        )
+
+        file_list.change(
+            update_file_content,
+            inputs=[file_list],
+            outputs=[file_content]
+        )
+
+        delete_btn.click(
+            delete_file,
+            inputs=[file_list],
+            outputs=[operation_status, file_list, operation_status]
+        )
+
+        save_btn.click(
+            save_file_content,
+            inputs=[file_list, file_content],
+            outputs=[operation_status, operation_status]
+        )
+
+        output_folder_list.change(
+            update_folder_content_list,
+            inputs=[output_folder_list],
+            outputs=[folder_content_list]
+        )
+
+        folder_content_list.change(
+            handle_content_selection,
+            inputs=[output_folder_list, folder_content_list],
+            outputs=[folder_content_list, file_info, output_content]
+        )
+
+        # Event handler for saving configuration
+        save_config_button.click(
+            update_env_file,
+            inputs=[llm_name, embed_name],
+            outputs=[config_status]
+        )
+
+        # Event handler for saving prompt tuning configuration
+        save_pt_config_button.click(
+            save_prompt_tuning_config,
+            inputs=[pt_root, pt_domain, pt_method, pt_limit, pt_language, pt_max_tokens, pt_chunk_size, pt_no_entity_types, pt_output_dir],
+            outputs=[pt_status]
+        )
+
+        # Initialize file list and output folder list
+        demo.load(update_file_list, outputs=[file_list])
+        demo.load(update_output_folder_list, outputs=[output_folder_list])
+
+    return demo
+
+def update_env_file(llm_model, embed_model):
+    env_path = os.path.join(ROOT_DIR, '.env')
+    
+    set_key(env_path, 'LLM_MODEL', llm_model)
+    set_key(env_path, 'EMBEDDINGS_MODEL', embed_model)
+    
+    # Reload the environment variables
+    load_dotenv(env_path, override=True)
+    
+    return f"Environment updated: LLM_MODEL={llm_model}, EMBEDDINGS_MODEL={embed_model}"
+
+def save_prompt_tuning_config(root, domain, method, limit, language, max_tokens, chunk_size, no_entity_types, output_dir):
+    config = {
+        'prompt_tuning': {
+            'root': root,
+            'domain': domain,
+            'method': method,
+            'limit': limit,
+            'language': language,
+            'max_tokens': max_tokens,
+            'chunk_size': chunk_size,
+            'no_entity_types': no_entity_types,
+            'output': output_dir
+        }
+    }
+    
+    config_path = os.path.join(ROOT_DIR, 'prompt_tuning_config.yaml')
+    with open(config_path, 'w') as f:
+        yaml.dump(config, f)
+    
+    return f"Prompt Tuning configuration saved to {config_path}"
+
+demo = create_interface()
+
+if __name__ == "__main__":
+    demo.launch(server_port=7861)
diff --git a/indexing/.DS_Store b/indexing/.DS_Store
new file mode 100644
index 0000000000000000000000000000000000000000..fd9cc09263281e094add4ba9c8f5bb7e39f890f2
Binary files /dev/null and b/indexing/.DS_Store differ
diff --git a/indexing/.env b/indexing/.env
new file mode 100644
index 0000000000000000000000000000000000000000..44cd988591fb8e219cd6e55ad299bd4d56c12f20
--- /dev/null
+++ b/indexing/.env
@@ -0,0 +1,19 @@
+LLM_PROVIDER=openai
+LLM_API_BASE=http://localhost:11434/v1
+LLM_MODEL='qwen2:0.5b'
+LLM_API_KEY=12345
+
+EMBEDDINGS_PROVIDER=openai
+EMBEDDINGS_API_BASE=http://localhost:11434
+EMBEDDINGS_MODEL='nomic-embed-text:latest'
+EMBEDDINGS_API_KEY=12345
+
+
+GRAPHRAG_API_KEY=12345
+ROOT_DIR=indexing
+INPUT_DIR=${ROOT_DIR}/output/${timestamp}/artifacts
+LLM_SERVICE_TYPE=openai_chat
+EMBEDDINGS_SERVICE_TYPE=openai_embedding
+
+API_URL=http://localhost:8012
+API_PORT=8012
diff --git a/indexing/input/ai-answer-train-set-28-2803-2000.txt b/indexing/input/ai-answer-train-set-28-2803-2000.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d25a5e69ca65b5ad3e90ad0a2d0f0ac8624fde87
--- /dev/null
+++ b/indexing/input/ai-answer-train-set-28-2803-2000.txt
@@ -0,0 +1,7713 @@
+【题干】：China Daily is _a newspaper, for it also can serve as a useful textbook for English study. A. more than B. more or less C. less than D. no more than
+【答案】：A
+【解析】：【详解】考查词组。A. more than超过,不仅仅是;B. more or less或多或少;C. less than少于; D. no more than仅仅。句意:中国日报不仅是一份报纸,它还可以帮我们提高英语水平。more than后接名词表示“不仅仅是”。故选A。。
+
+
+【题干】：Due to frequent layoffs, there is anxiety among the employees _ they may one day be out of work. A. when B. how C. why D. that
+【答案】：D
+【解析】：【详解】考查连词。A. when当……的时候;B. how如何,怎么;C. why为什么;D. that(引导名词性从句,不做句子成分,只起连接作用)。句意:由于频繁的裁员,员工们担心有一天会失业。根据句意及句子结构分析可知,此处为anxiety的同位语从句,从句句子成分齐全,应使用that引导。故D选项正确。【点睛】that引导同位语从句和定语从句的区别: 1)从句法角度来看,引导同位语从句的连词that只起连接作用,在从句中不作任何成分,但不可以省略;而引导定语从句的关系代词that除了连接主句和从句之外,在从句中作一定成分,有时可省略。 Along with the letter was his promise that he would visit me this coming Christmas.随信一起来的是他的承诺,他说会在即将到来的圣诞节来看我。(同位语从句中的that不做任何成分) The suggestion (that) he made at the meeting was very right.他在会议上给出的建议是正确的。(此定语从句中的that在从句中作宾语,可以省略) 2)从语义角度来看,同位语从句that引导的从句在句中解释说明前面的名词,而定语从句中that引导的从句则是起到修饰限定先行词的作用。 The news that we are having a holiday tomorrow is not true.明天放假的消息不实。(that引导的从句说明news的内容) He lost his money that had been saved for a long time.他丢了存了很久的钱。(that引导的定语从句,修饰限定先行词money)。
+
+
+【题干】：Nowadays many parents tend to be tolerant _ their children’s choices of majors at university. A. as a consequence of B. regardless of C. in regard to D. at the mercy of
+【答案】：C
+【解析】：【详解】考查介词词组辨析。A. as a consequence of结果;B. regardless of不管;C. in regard to关于;D. at the mercy of支配。句意:如今,许多父母对子女选择大学专业持宽容态度。故C选项正确。。
+
+
+【题干】：Mary worked here as a _ secretary and ended up _ a full-time job with the company. A. admirable; getting B. temporary; getting C. previous; to get D. cautious; to get
+【答案】：B
+【解析】：【详解】考查形容词及固定搭配。A. admirable令人羡慕的;B. temporary临时的;C. previous先前的;D. cautious谨慎的。句意:玛丽作为一个临时秘书在这里工作,最终在这家公司得到一份全职工作。固定搭配:end up doing sth. “最终做某事”。故B选项正确。。
+
+
+【题干】：It was obvious that there was _ between accounts of the witnesses for the murder case, so the judgment was not announced in court. A. security B. relation C. conflict D. revision
+【答案】：C
+【解析】：【详解】考查名词辨析。A. security安全;B. relation关系;C. conflict冲突;D. revision复习。句意:很明显,谋杀案目击者的叙述有冲突,所以法庭没有宣布判决。故C选项正确。。
+
+
+【题干】：— Tom, what a pity! I almost succeeded yesterday. —_. I told you to be careful before. A. One tree does not make a forest B. Where there’s life, there’s hope C. One false step will make a great difference D. Never put off till tomorrow what you can do today
+【答案】：C
+【解析】：【详解】考查谚语辨析。A. One tree does not make a forest独木不成林;B. Where there’s life, there’s hope有生命就有希望;C. One false step will make a great difference失之毫厘,谬之千里;D. Never put off till tomorrow what you can do today今日事,今日毕。由语境I told you to be careful before.可知,答案为C。故C选项正确。.。
+
+
+【题干】：Much to my _, my vocabulary has expanded a great deal. A. delighting B. delighted C. delight
+【答案】：C
+【解析】：【详解】考查固定用法。句意:令我高兴的是,我的词汇量大大增加了。“much to +名词”为固定用法,意为“使某人……”,因此本小题要用名词形式。分析选项:delighting 感到高兴的,一般修饰物;delighted高兴的; 欣喜的,一般修饰人;delight快乐,高兴。由选项可知,A与B都是形容词,只有C是名词,符合题意,故选C。。
+
+
+【题干】：The book _ through the air to Aunt Dede and she began to read it aloud. A. got B. pushed C. sailed
+【答案】：C
+【解析】：【详解】考查动词辨析。got得到;pushed推;sailed掠,飘,浮游。分析语境可知,本句是指“那本书在空中传到(飘向)黛德姑妈那,她(拿过书)开始大声朗读”。故选C。。
+
+
+【题干】：He has been sent to the place _ needs him most. A. where B. that C. what D. it
+【答案】：B
+【解析】：【详解】考查定语从句。句意:他已经被派到最需要他的地方了。本题定语从句的先行词是the place,定语从句中缺少主语,要用关系代词that指代先行词,引导定语从句并在句中做主语。CD项不能引导定语从句,where要在句中做状语。故B项正确。【点睛】本题考查了关系代词that的用法,that是比较常见的关系代词,并且有的时候是只能用that。接下来就看看时候只用that的情况。 1当先行词是anything,everything,nothing,few,all,alone,little,some等指人或物的代词时。或者是有诸如every,any,all,no,much等词修饰时。 There seems to be nothing that can help you. 似乎没有任何事可以帮你。(nothing 出现) B. All that can be applied in the research have been rejected. 所有能被运用于研究的都被否决了。(all的出现) 2 当先行词既有人也有事物。 A. The talked the people and things in the bar that they remember. 他们谈论着他们记起的酒吧的人和事。(人和物的出现) 3 有形容词最高级修饰先行词时。 This is the best hotel in the city that I know. 这是我所知道的城市里最好的旅馆。(best 为最高级) 4.序数词修饰先行词时。 The first time that they meet together was yesterday. 他们第一次遇见是在昨天。(first 的出现) 5当the only,the very出现时。 Before he falls in love Amanda, the only thing that he cared is himself. 在他爱上Amanda之前,他唯一在意的是他自己。。
+
+
+【题干】：We were _ on our way to the airport because of the heavy snow. A. held up B. held out C. held back D. held with
+【答案】：A
+【解析】：【详解】考查动词短语辨析。A. held up举起,支撑;阻挡;延误;B. held out伸出,坚持;C. held back阻碍,隐藏,克制;D. held with赞成;句意:因为大雪,我们被延误在去机场的路上。根据句意可知A项正确。。
+
+
+【题干】：There is little doubt _ the Internet is a great inventionin human history. A. whether B. that C. which D. what
+【答案】：B
+【解析】：【详解】考查同位语从句。句意:毫无疑问,在人类历史上因特网是一项伟大的发明。句中同位语从句that the Internet is a great invention in human history对名词短语little doubt进行解释说明,that在句中不充当任何成分,只是一个引导词。故B项正确。【点睛】本题考查了同位语从句,同位语是对前面的名词的解释说明,当同位语部分是个句子的时候,就是同位语从句,这种用法比较"固定" 一、在复合句中用作同位语的从句叫同位语从句。它一般跟在某些名词后面,用以说明该名词表示的具体内容。 I heard the news that our team had won. 我听到了我们队获胜的消息。 二、可以跟同位语从句的名词通常有news,idea,fact,promise,question,doubt,thought,hope,message,suggestion,words(消息),possibility, decision等(一般的“抽象”名词都可用)。 I’ve come from Mr. wang with a message that he won’t be able to see you this afternoon. 我从王先生那里来,他让我告诉你他今天下午不能来看你了。 三、英语中引导同位语从句的词通常有连词that,whether,连接代词what,who。连接副词how, when, where等。(注:if不能引导同位语从句。) He must answer the question whether he agrees with it or not. 他必须回答他是否同意这样一个问题。 四、有时同位语从句可以不紧跟在说明的名词后面,而被别的词隔开。 The thought came to him that maybe the enemy had fled the city. 他突然想起敌人可能已经逃出城了。。
+
+
+【题干】：The drought had lasted several months and it made farmers _ about the harvest. A. astonished B. anxious C. eager D. busy
+【答案】：B
+【解析】：【详解】考查形容词辨析。句意:干旱已经持续了几个月,农民们对收成感到焦虑。A. astonished惊讶的;B. anxious焦虑的;C. eager渴望的;D. busy繁忙的。be anxious about“对……感到焦虑”,干旱会影响收成,农民们自然会感到焦虑,故B选项正确。。
+
+
+【题干】：The atmosphere gets thinner and thinner _ the height increases. A. while B. since C. as D. for
+【答案】：C
+【解析】：【详解】考查连词辨析。句意:随着高度的增加,大气变得越来越稀薄。A. while当……时;B. since自从……以来;C. as随着……;D. for因为。这里表示伴随,故C选项正确。。
+
+
+【题干】：By the time he was 4 years old, he _ 100 English words. A. learns B. will have learned C. has learned D. had learned
+【答案】：D
+【解析】：【详解】考查过去完成时。句意:到他4岁的时候,他已经学会了100个英语单词。by the time引导的时间状语从句,从句过去时,主句用过去完成时。故D选项正确。【点睛】by the time意为“到……时候(为止)”,是一个介词短语,在句中经常起连词作用,引导时间状语从句。它的主要用法如下: 1. 如果从句中的谓语动词是一般过去时,那么主句中的谓语动词通常用过去完成时,表示“截止到从句动作发生时,主句动作已经完成,即过去的过去”。 2. 如果从句中的谓语动词为一般现在时(表示将来),那么主句中的谓语动词常为将来完成时,表示“截止到将来某一时间为止,主句动作将已经完成”。 3. 如果主句动作不强调已经完成,只是说明过去某个时候的状况,此时主句不用完成时,而应根据实际需要选用适当的时态,此时by the time相当于when。 本句符合第一点用法,故D选项正确。。
+
+
+【题干】：It was the middle of the night _ my father woke me up and told me to watch the football game. A. that B. when C. since D. which
+【答案】：B
+【解析】：【详解】考查连词。句意:那是半夜,父亲把我叫醒,叫我看足球赛。本句是when引导的时间状语从句,故B选项正确。本句不是强调句,如果把It was去掉,句子并不成立,the middle of the night前缺少介词。。
+
+
+【题干】：-Madam, if you like I can give you a lift to the downtown area. - That’s a very kind _. A. service B. offer C. promise D. choice
+【答案】：B
+【解析】：【详解】名词辨析。A. service服务; B. offer提议; C. promise许诺; D. choice选择。句意:—夫人,如果您愿意,我可以载您到市中心。—这是一个非常好的提议。结合句意可知答案为B。。
+
+
+【题干】：- Have you ever been to Provence which is home to lavender(薰衣草) in Paris? - Yes, only once. I _ there for a week. A. had stayed B. were staying C. have stayed D. stayed
+【答案】：D
+【解析】：【详解】考查时态。句意:—你去过巴黎薰衣草的故乡普罗旺斯吗?—是的,只有一次。我在那里呆了一个星期。此处是指过去发生的一件事,与现在无关,所以用一般过去时态,故答案为D。。
+
+
+【题干】：Due to the frequent school shootings, the only way the president could imagine _ such tragedies was to ban guns across the US. A. preventing B. prevented C. to prevent D. having prevented
+【答案】：C
+【解析】：【详解】考查动词不定式作后置定语。句意:由于校园枪击案频发,总统能想到的防止此类悲剧发生的唯一办法就是在全美范围内禁止枪支。此处是动词不定式作后置定语,故选C。。
+
+
+【题干】：My computer _ start this morning. There must have been something wrong with it. A. wouldn’t B. shouldn’t C. couldn’t D. mustn’t
+【答案】：A
+【解析】：【详解】考查情态动词。句意:我的电脑今早启动不了。一定是出了什么问题。A. wouldn’t 不会; B. shouldn’t不应该; C. couldn’t 不能; D. mustn’t禁止,不允许。此处would表示过去的习惯或反复性的动作。故选A。。
+
+
+【题干】：- Come on, Henry. You can also enjoy as healthy a life as I _ if you can… - Are you advising me to run every morning? A. will live B. lived C. am living D. had lived
+【答案】：C
+【解析】：【详解】考查时态。句意:—快点,亨利。你也可以像我一样享受健康的生活,如果你可以……。—你是建议我每天早上跑步吗?结合句意可知此处用现在进行时态,故答案为C。。
+
+
+【题干】：It was at midnight _ we arrived at the airport, resulting from the heavy fog. A. that B. before C. since D. now that
+【答案】：A
+【解析】：【详解】考查强调句式。句意:由于大雾,我们是在午夜到达机场的。此处时强调句式,强调时间状语,It is +强调部分+that+其他-。由此可知A项正确。【点睛】浅谈强调句 1. 用It is/was...that/who...句型表示强调。 (1)陈述句的强调句型:It is/was+被强调部分(通常是主语、宾语或状语)+that/who(当强调主语且主语指人)+其它部分。 e.g. It was yesterday that he met Li Ping. (2)一般疑问句的强调句型:同上,只是把is/was提到it前面。 e.g. Was it yesterday that he met Li Ping? (3)特殊疑问句的强调句型:被强调部分(通常是疑问代词或疑问副词)+is/was+it+that/who+其它部分?e.g. When and where was it that you were born? 2. not...until...句型的强调句: 句型为:It is/was not until+被强调部分+that+其它部分: e.g. 普通句:He didn't go to bed until/till his wife came back. 强调句:It was not until his wife came back that he went to bed. 注意:此句型只用until,不用till。但如果不是强调句型,till, until可通用; 因为句型中It is/was not...已经是否定句了,that后面的从句要用肯定句,切勿再用否定句了。 3. 强调谓语动词:用助动词do, does或did加动词原形来强调谓语动词。注意:此种强调只用do/does和did,没有别的形式;过去时态用did,后面的谓语动词用原形。如:Do come early. 务必早来。He did send you a letter last week. 昨天他确实寄给你一封信。。
+
+
+【题干】：Spelling Bee is a contest _ competitors, usually children, are asked to spell as many words as possible. A. which B. when C. what D. where
+【答案】：D
+【解析】：【详解】考查定语从句。句意:拼字比赛是要求参赛者,通常是孩子,拼出尽可能多的单词的比赛。此处a contest是先行词,在后面的定语从句中作地点状语,故答案为D。【点睛】分析定语从句关键抓住两点:第一、找准先行词;第二、看先行词在定语从句中所作的成分。先行词往往为名词或代词,如本题中先行词为名词a contest,再分析先行词a contest在定语从句中所作的成分,将先行词a contest带到从句中可知,只能作地点状语,故确定关系词where。。
+
+
+【题干】：He kept silent over the matter because he had no intention to risk _ in it. A. to involve B. involving C. being involved D. to be involved
+【答案】：C
+【解析】：【详解】考查非谓语动词。句意:他对这件事保持沉默,因为他不想冒险卷入其中。固定搭配:risk doing sth.“冒险做某事”,且句子主语he和involve之间是一种被动关系,所以这里要用动名词一般式的被动式,故选C。。
+
+
+【题干】：_in voluntary work makes him feel happy and fulfilled. A. Participate B. Participated C. Participating D. Having participated
+【答案】：C
+【解析】：【详解】考查非谓语动词。句意:参与志愿工作使他感到快乐和满足。分析句子可知,句中缺少主语,故用动名词短语作主语。故选C。。
+
+
+【题干】：The doctor tried to _ me that my mother would be fine. A. whistle B. emerge C. reassure D. bend
+【答案】：C
+【解析】：【详解】考查动词词义辨析。句意:医生试图让我放心,我的母亲会好的。A. whistle吹口哨;B. emerge浮现;C. reassure使……安心;D. bend弯曲。故选C。。
+
+
+【题干】：New Zealand is home to around 16,000 bird _,double the number in all Europe. A. cures B. residents C. budgets D. species
+【答案】：D
+【解析】：【详解】考查名词词义辨析。句意:新西兰拥有大约16,000种鸟类,是欧洲总数的两倍。A. cures治疗;B. residents居民;C. budgets预算;D. species种类。故选D。。
+
+
+【题干】：Mr. Painter wanted to design a new system to _ the water in his garden in heavy rains. A. retreat B. drain C. tremble D. shrink
+【答案】：B
+【解析】：【详解】考查动词词义辨析。句意:Painter先生想设计一种新的系统,在下大雨时来给他的花园里排水。A. retreat撤退;B. drain排出;C. tremble发抖;D. shrink退缩。故选B。。
+
+
+【题干】：The family wrote a letter to the organization to express their _ for help. A. faith B. appeal C. relief D. sight
+【答案】：B
+【解析】：【详解】考查名词词义辨析。句意:这家人写了一封信给该组织表达他们需要援助的恳求。A. faith信仰;B. appeal恳求;C. relief减轻;D. sight视力。故选B。。
+
+
+【题干】：Winning this game is _ to the team, for the result will decide whether it can defend its championship. A. contemporary B. crucial C. complicated D. constant
+【答案】：B
+【解析】：【详解】考查形容词词义辨析。句意:赢得这场比赛对球队至关重要,因为结果将决定它能否卫冕冠军。A. contemporary当代的;B. crucial决定性的;C. complicated复杂难懂的;D. constant经常的。故选B。。
+
+
+【题干】：I can’t stay out overnight without my parents’_. A. obedience B. privacy C. affection D. approval
+【答案】：D
+【解析】：【详解】考查名词词义辨析。句意:没有父母的同意,我不能在外面过夜。A. obedience服从;B. privacy隐私;C. affection影响;D. approval同意。故选D。。
+
+
+【题干】：Scientists have made a major _ in the treatment of cancer. A. barrier B. breakthrough C. companion D. concern
+【答案】：B
+【解析】：【详解】考查名词词义辨析。句意:科学家在癌症治疗方面取得了重大突破。A. barrier障碍物;B. breakthrough突破;C. companion 同伴;D. concern关心。短语make a breakthrough突破。故选B。。
+
+
+【题干】：According to Professor Smith, the best approach _ a foreign language is to study the spoken language. A. to learn B. to learning C. of learning D. on learning
+【答案】：B
+【解析】：【详解】考查固定搭配。句意:史密斯教授认为,学习外语的最好方法是学习口语。the approach to doing sth.“做某事的方法”,此处to是介词,后面用动名词作表语,故选B。。
+
+
+【题干】：Hey, you _ at the computer all day. You should really take a break now. A. have been sitting B. were sitting C. did sit D. are sitting
+【答案】：A
+【解析】：【详解】考查现在完成进行时态。句意:嘿,你整天都坐在电脑前。你现在真的应该休息一下。结合句意可知句子用现在完成进行时态,故选A。。
+
+
+【题干】：Over the last three decades, the number of people participating in physical fitness programs _ sharply. A. was increasing B. has increased C. had increased D. will be increasing
+【答案】：B
+【解析】：【详解】考查时态。句意:在过去的三十年里,参加健身计划的人数急剧增加。Over the last three decades“在最近的30年里”和现在完成时态连用,故选B。。
+
+
+【题干】：Well, if Father’s job means that we have to move away from our house and the sliding banister and my three best friends for life, then I think Father should _ about his job, don’t you? A. have big things in mind B. let the matters drop C. stretch out D. think twice
+【答案】：D
+【解析】：【详解】考查动词词组辨析。A. have big things in mind胸怀大志;B. let the matters drop让事情过去吧;C. stretch out展开;D. think twice三思而后行。句意:好吧,如果父亲的工作意味着我们必须离开我们的房子、滑动的楼梯扶手和我的三个最好的朋友,那么我认为父亲应该三思而后行,不是吗?故D选项正确。。
+
+
+【题干】：There was a plaque _ the top of the bench but she couldn't read the inscription from this distance. A. secured on B. tangled in C. applied to D. attached to
+【答案】：D
+【解析】：【详解】考查动词词组辨析。A. secured on保证;B. tangled in纠缠;C. applied to申请;D. attached to附属于。句意:长凳顶上挂着一块牌匾,但她隔着这么远看不清上面的铭文。故D选项正确。。
+
+
+【题干】：Instead the ground was made of a sand-like substance, and as far as she could _ there was nothing but low huts and large square buildings dotted around and one or two smoke stacks in the distance. A. make sense B. make out C. make the best D. make it clear
+【答案】：B
+【解析】：【详解】考查动词词组辨析。A. make sense说得通;B. make out辨认出;C. make the best尽力而为;D. make it clear明确表明。句意:相反,地面是用沙子一样的东西铺成的,在她所能看到的范围内,除了低矮的小屋和四四方方的大楼房外,什么也没有,远处还有一两个烟囱。故B选项正确。【点睛】动词固定短语辨析是单项选择和完形填空中常考考点,需要大家注意积累。例如make的一些词组: make sure that确信;证实 make up 弥补;组成;化妆;整理 make full use of 充分利用 make up for 补偿,弥补 make a difference 有影响,有关系 make good use of 充分利用;很好地使用 make out 理解;辨认出;说明;填写;设法应付 make for 导致;有助于;走向 make it possible 使它变成可能 make a living 谋生,维持生活 make decision 作决定;下决心。
+
+
+【题干】：She just got on with her job, _ the furniture, washing the clothes, helping with the shopping and the cooking, sometimes taking him to school and collecting him again, although that had been more common when Bruno was eight; when he turned nine he decided he was old enough to make his way- there and home alone. A. polishing B. discarding C. resisting D. irritating
+【答案】：A
+【解析】：【详解】考查动词辨析。A. polishing抛光;B. discarding丢弃;C. resisting抵制;D. irritating刺激。句意:她只是继续她的工作,擦亮家具、洗衣服、帮忙买东西和做饭,有时带他去学校、再接他,尽管在布鲁诺8岁的时候这种情况更常见;当他九岁的时候,他觉得自己已经足够大了,可以自己走自己的路了——去那里,然后独自回家。故A选项正确。。
+
+
+【题干】：Though _ of the danger, Mr. Brown still risked his life to save the boy in the fire. A. having told B. being told C. to be told D. told
+【答案】：D
+【解析】：【详解】考查过去分词作状语。句意:尽管被告知有危险,布朗先生仍然冒着生命危险去救火灾中的男孩。此处句子主语Mr. Brown和tell之间是一种被动关系,与连词Though一起引导作让步状语,故选D。。
+
+
+【题干】：He sold this car for only 2000 dollars, so the buyer got a wonderful_. A. cost B. worth C. value D. bargain
+【答案】：D
+【解析】：【详解】考查名词。A. cost费用; B. worth价值,财产; C. value价值; D. bargain交易,便宜货。句意:他以二千美元的价格把这辆车卖了,买主买得很便宜。结合句意可知答案为D。。
+
+
+【题干】：The observer’s statement about the accident was very ; we know almost everything about it now. A. specific B. especial C. particular D. special
+【答案】：A
+【解析】：【详解】考查形容词辨析。句意:旁观者关于事故的陈述非常具体;我们现在几乎对它了如指掌。A. specific 具体的; B. especial尤其的; C. particular特殊的; D. special非一般的。由“ everything ”可知,旁观者关于事故的陈述非常具体。故A选项正确。。
+
+
+【题干】：What will the world use for power when it has _ oil? A. given out of B. given out C. run out of D. run out
+【答案】：C
+【解析】：【详解】考查动词短语。句意:当石油枯竭的时候,全世界将会用什么作为能源呢。(1)run out of意为“用完了”,是及物短语,表示主动意义,主语一般是人。 (2)run out意为“用完”,是不及物短语,其主语通常为时间、食物、金钱等名词。3)give out用尽,精疲力竭,为不及物短语。故C选项正确。。
+
+
+【题干】：I did not see your sister at the meeting. If she , she would have met my brother A. has come B. did come C. come D. had come
+【答案】：D
+【解析】：【详解】考查虚拟语气。句意:我没有在会上见到你妹妹。如果她来了,她会遇见我哥哥的。if 引导的虚拟条件句,与过去事实相反的假设。主句谓语动词形式would/could/might/should have done,条件从句的谓语动词形式had done。故D选项正确。【点睛】If 引导的虚拟条件句 条件从句的谓语动词形式 主句谓语动词形式 与过去事实相反的假设 had done would/could/might/should have done 与现在事实相反的假设 过去时(was→were) would/could/might/should do 与将来事实相反的假设 过去时 (was→were ) ; should do; were to do would/could/might/should do 本句表示与过去事实相反的假设。主句谓语动词形式would/could/might/should have done,条件从句的谓语动词形式had done。故D选项正确。。
+
+
+【题干】：Without electricity, human life quite difficult today. A. would be B. will be C. would have been D. is
+【答案】：A
+【解析】：【详解】考查虚拟语气。句意:没有电,人类今天的生活将会相当困难。虚拟语气中的“含蓄之美”指的是含蓄虚拟语气。因为有时假设的情况并不是以if引导的条件从句形式出现,而是通过一些短语等形式暗示虚拟语气的存在,常用的词语有with, without, but for, otherwise, or,even, in case of, what if(如果…将如何)等等,这种句子往往有主句而无从句。由“today”可知,表示的是与现在事实相反的假设,所以主语从句谓语形式为would be。故A选项正确。。
+
+
+【题干】：How I wish I to repair the watch! I only made it worse. A. had tried B. hadn't tried C. have tried D. didn't try
+【答案】：B
+【解析】：【详解】考查虚拟语气。句意:我多么希望我没有去修理那块表!我只让事情变得更糟了。动词wish后接宾语从句时,从句谓语要用虚拟语气若表示与过去相反的愿望,从句谓语用过去完成时。根据句意以及“made”可知,B选项正确。【点睛】wish后宾语从句用虚拟语气 动词wish后接宾语从句时,从句谓语要用虚拟语气。1.若要表示与现在事实相反的愿望,从句谓语用一般过去时;2.若表示与过去相反的愿望,从句谓语用过去完成时;3.若表示将来没有把握或不太可能实现的愿望,用would (could)+动词原形。本句符合第2点用法,故B选项正确。。
+
+
+【题干】：In recent years, in many Western countries, in the USA and the UK, Halloween has become a special occasion. A. in general B. in brief C. in short D. in particular
+【答案】：D
+【解析】：【详解】考查介词短语辨析。A. in general意为"总的说来,通常";B. in brief意为"简言之";C. in short意为"总之,简而言之";D. in particular意为"尤其,特别"。句意:近年来,在许多西方国家,尤其是在美国和英国,万圣节前夕已经成为一种特殊的场合。故D选项正确。。
+
+
+【题干】：When faced with challenges, firmly believe that holding on to your dreams and doubling your efforts will _ lead to success. A. deliberately B. eventually C. automatically D. appropriately
+【答案】：B
+【解析】：【详解】本题考查副词辨析。解题步骤:1. 确定各选项意思:A. deliberately故意地;B. eventually最终地;C. automatically自动地;D. appropriately适当地。2. 确定答案:lead to success是最终的结果,故选B。句意:当面临挑战的时候,坚信坚持自己的梦想,并加倍努力,最终会取得成功。。
+
+
+【题干】：It seems that _ the road is a single track we still need to install traffic lights. A. if B. unless C. although D. because
+【答案】：C
+【解析】：【详解】考查让步状语从句。句意:看来,尽管这条路是一条单向小道,我们仍旧需要安装交通信号灯。A. if如果;B. unless除非;C. although尽管;D. because因为。前后是让步关系,故选C项although来引导让步状语从句。。
+
+
+【题干】：So long as you do what you can, no one will blame you _ you might fail in the future. A. as though B. in case C. now that D. even if
+【答案】：D
+【解析】：【详解】考查让步状语从句。句意:只要你尽力而为,即使将来可能失败也不会有人指责你。A. as though仿佛;B. in case万一;C. now that既然;D. even if即使。前后是让步关系,此处应用even if引导让步状语从句。。
+
+
+【题干】：I’ve spent _ most exciting day today, for _ younger of my two sons has been admitted into the university. A. a;a B. a;the C. the;a D. the;/
+【答案】：B
+【解析】：【详解】考查冠词的用法。句意:我今天度过了非常兴奋的一天,因为我两个儿子中较小的那一个已经被大学录取。a/an + most +形容词"非常……"。而指"两个中较……的"时,常常用the + 比较级+ of the two。 故选B。。
+
+
+【题干】：They have read the paper many times, but it doesn’t make any _. A. sense B. value C. mark D. symbol
+【答案】：A
+【解析】：【详解】考查名词辨析和搭配。句意:他们已经读了这篇论文很多遍了,但是还是没有理解。sense意义;value价值;mark标志;symbol象征。make sense有意义, 理解,讲得通。根据语境可知A符合题意,故选A。。
+
+
+【题干】：Yesterday she got _, giving us no choice but to send her to the nearest hospital. A. sicker and sicker B. sick and sick C. more sicker D. less sicker
+【答案】：A
+【解析】：【详解】考查比较级。句意:昨天她的病变得越来越严重了,我们别无选择只能送她去了最近的医院。sicker本身是比较级形式,其前不可再加more或less,排除C、D两项;表示程度不断加深要用"比较级+and+比较级"结构,故选A。。
+
+
+【题干】：As a great scientist, little joy can equal_ of being awarded the Nobel Prize. A. that B. this C. it D. one
+【答案】：A
+【解析】：【详解】考查代词。句意:作为一个伟大的科学家,任何喜悦都赶不上获得诺贝尔奖。空处指代"获得诺贝尔奖的喜悦",与前面的"joy"相比是同类不同物,应使用that代替。。
+
+
+【题干】：For Lucy, the most necessary thing is to find a suitable job, _ in which she can earn her living and fulfill her potential. A. that B. it C. the one D. one
+【答案】：D
+【解析】：【详解】考查替代。句意:对Lucy来说,当务之急是找到一份合适的工作,一份能够让她谋生并发挥潜力的工作。这里one指代a suitable job,在句中作a suitable job的同位语。故答案为D。。
+
+
+【题干】：We find _easy to get along with our new teachers here. A. that B. it C. this D. 不填
+【答案】：B
+【解析】：【详解】考查代词it的用法。句意:我们发现与我们这里的新老师相处很容易。此处it作形式宾语,而真正的宾语为后面的不定式结构to get along with our new teachers here。故选B。。
+
+
+【题干】：_ all of them are strong candidates, only one will be chosen for the post. A. Since B. While C. Once D. As
+【答案】：B
+【解析】：【详解】考查状语从句连词。句意:尽管他们都是强有力的候选人,但只有一个人可以被选中担任这个职位。连词while意为“当……时;尽管;然而;”本句中表示“尽管”,引导让步状语从句。故B项正确。【点睛】本题考查了while的用法,在英语的从句里连词while的用法是比较复杂的。 一、while作为并列连词,意思为“而,然而”,表前后意义上的对比或转折。 例如:There’s plenty of rain in the southeast, while there's little in the northeast. 东南部雨量充足,而西北部则很少下雨。 Some people waste food while others haven't enough. 有些人浪费粮食,然而有些人却吃不饱。 二、另外while还有别的用法,while引导状语从句,有以下两种含义: 1.表示某个动作正在进行的同时,另一动作也在进行之中,这时主从句都用进行时态,有对同类的两个动作进行对比的意味.如: While I was playing the piano, she was dancing.我在弹钢琴,她在跳舞. 2.表示某个动作正在进行时,又发生了另一动作(该动作用一般过去时).如: While we were swimming in the river, we saw a fish jump out of the water. 我们正在河中游泳时,看见一条鱼跃出了水面. 三、while还有以下几种常见用法: 1.只要(=as long as) There will be life while there is water and air.只要有空气和水,就会有生命. 2.而;然而〔表示对比〕 He is a driver while I'm a teacher.他是司机,而我是老师. 3.虽然(=although);尽管〔表示让步〕 While I see what you say, I can't agree with you.虽然我能理解你说的话,但是我不能同意你. 4.用作名词,表示“一会儿或一段时间”,常与a, the或this等连用.如: Just wait a while and then I will help you.等一下,我会来帮你的. 四、while所引导的时间状语从句中的谓语动词只能是延续性动词。 例如:I met with an old friend of mine while (when) I was walking along the street.。
+
+
+【题干】：The hotel, _ between two much larger hotels, is easy to overlook but worth choosing. A. hiding B. to hide C. hidden D. having hidden
+【答案】：A
+【解析】：【详解】考查非谓语动词。句意:藏在两个大一点的宾馆之间的这家宾馆很容易被忽视,但它值得选择。动词短语hide between two much larger hotels与主语the hotel之间构成主动关系,要用现在分词短语充当定语修饰the hotel,相当于定语从句which hides between two much larger hotels。B项表示未来的事情,C项表示被动,D项表示已经完成的事情。故A项正确。。
+
+
+【题干】：Ms Rogers will _ her ideas to the Board at next week’s meeting, so that they will have a further discussion. A. accomplish B. present C. confront D. expose
+【答案】：B
+【解析】：【详解】考查动词词义辨析。A. accomplish完成,实现;B. present呈现,发表;提出;赠送;表达;C. confront对抗;遭遇;面临;D. expose揭露;曝光;使……接触;句意:在下周的会议上Ms Rogers将会发表她的观点,以便于他们进行更进一步的讨论。根据句意可知present表示“呈现”符合上下文语境,故选择B项。。
+
+
+【题干】：I often wonder if it is mistrust _ causes misunderstanding and conflict between people. A. which B. when C. why D. that
+【答案】：D
+【解析】：【详解】考查强调句型。句意:我经常想是不是不信任导致了人们之间的误解和冲突。本句考查了强调句型:It is/was+被强调成分+that/who+ 其他成分;当被强调部分指人,可以使用that/who;当被强调部分不指人的时候,使用that;本句强调的是名词mistrust,没有指人,使用that强调。故D项正确。【点睛】本题考查了强调句型的用法,其具体用法如下:在英语中,我们常用It is/was… who/that结构来突出强调句子的某一成分(一般是句子中主语,宾语或状语)。在这个句型中,it没有词汇意义,只是引出被强调的成分。如果被强调的成分是表示人的词,用who或that来连接都可以。如果是其它成分,则一律用that来连接。 It was in the park that I met my old teacher yesterday. (强调地点状语) It was yesterday that I met my old teacher in the park. (强调时间状语) 二、使用本句型的几个注意事项 1.被强调成分是主语,who/that之后的谓语动词应该在人称和数上与原句中的主语保持一致。 It is I who am right. It is he who is wrong. It is the students who are lovely. 2.即使被强调成分是句子中的时间状语,地点状语,原因状语等,也不能用when,where, because,要用 that。 It was after the war was over that Einstein was able to come back to his research work again. It was in front of the bank that the old lady was robbed. It was because of the heavy rain that he came late. 3.如果被强调的成分有同位语,同位语也应提前。 It was from him,his chemistry teacher,that Paul learned to watch carefully in class. 4.被强调成分是充当主语的代词,用主格,是作宾语的代词,用宾格 It was he that helped me yesterday. It was me that he helped yesterday. 5.被强调部分既包括人又包括物,用that不用who lt was the things and people that they remembered that they were talking about. 6.在强调结构中,无论被强调的是人还是物,是单数还是复数,be动词一律用is/was形式,如果原句的谓语动词是一般过去时,就用was;如果是一般现在时,就用is.也可以用"情态动词+be"形式.如: It might be yesterday that John bought a book for Mary. 三、区分定语从句和强调句型某些定语从句和强调句型形式差不多,容易混淆。如果去掉it is/ was ...that句子仍然通顺成立,则为强调句型,不成立不通顺,则为定语从句。 It was three years ago that he went to American for a further study. 去掉It was that句子为Three years ago he went to America for a further study.句子通顺,意思完整,那么,这就是一个强调句型。 四、强调句型也有疑问句形式.一般疑问句的强调形式,只需将is/was提前,移至句首即可,即:"Is/Was it…that…".特殊疑问句的强调形式, 须将陈述句变成一般疑问句, 再在句首加上疑问词, 即"疑问词 (被强调部分) +is/was + it + that + 句子其余部分". 如: Was it last year that the building was completed How was it that he went to school 哲理性,故常用一般现在时. 例如: It's a wise father who knows his own child.无论多聪明的父亲也不见得了解自己的孩子." It's an ill wind that blows nobody(any)good.此失则彼得(没有使所有的人都受害的坏事).。
+
+
+【题干】：Investigators urged that safety procedures at the construction site _ as soon as possible. A. would improve B. were improved C. improved D. be improved
+【答案】：D
+【解析】：【详解】考查虚拟语气。句意:调查人员敦促建筑工地上的安全操作要尽早改善。动词urge后的宾语从句要使用“should+动词原形”的虚拟语气,其中should可以省略。本句主语safety procedures at the construction site与improve构成被动关系,要用被动语态,句中还省略了should。故D项正确。。
+
+
+【题干】：My son, Ben, had got in touch, he’d moved to England with his mum when he was three and it had been 13 years since I’d last seen him. So imagine my _ when he emailed me saying he wanted to come to visit me. A. delight B. relief C. anger D. worry
+【答案】：A
+【解析】：【详解】考查名词词义辨析。句意:我的儿子本和我取得了联系,他三岁的时候和他妈妈一起搬到了英国,我已经有13年没见过他了。想象一下,当他给我发邮件说他想来看我时,我是多么高兴。根据上下文可知,13年没有见到自己的儿子,突然收到儿子的电子邮件,并且说要来看自己。由此可以推知,我很快乐、开心。A. delight高兴,愉快;B. relief (痛苦、忧虑等的)解除,减轻;C. anger怒,忿怒;D. worry担心。故选A项切题。。
+
+
+【题干】：When we were young, we were brought up by our parents to _ the table manners both at home and in public. A. determine B. observe C. announce D. control
+【答案】：B
+【解析】：【详解】考查动词词义辨析。句意:我们还年幼的时候,父母教育我们不管是在家还是在公共场合都要遵守餐桌礼仪。A. determine决定,决心;B. observe遵守;C. announce通知,宣布;D. control控制。结合句意可知,此处指“遵守”餐桌礼仪,故B项切题。。
+
+
+【题干】：It is required that all traffic participants should _ the traffic rules to make traffic safer and faster. A. perform B. observe C. support D. possess
+【答案】：B
+【解析】：【详解】考查动词词义辨析。句意:要求所有交通参与者都要遵守交通规则,使交通更安全、更快捷。A. perform履行,表演;B. observe遵守,庆祝,观察;C. support支持,支撑;D. possess拥有。此处表示“遵守”交通规则,故选B。。
+
+
+【题干】：Whether to favor urban development or the preservation of historical sites is especially controversial in China, where there exists rich history, diversified tradition and cultural _. A. surplus B. deposits C. accounts D. receipts
+【答案】：B
+【解析】：【详解】考查名词辨析。句意:在有着丰富历史、多元传统和文化底蕴的中国,究竟是支持城市发展,还是保护历史古迹,尤其存在争议。A. surplus剩余;B. deposits底蕴;C. accounts账目;D. receipts进款,故选B。。
+
+
+【题干】：Due to the reform and opening­up, our living conditions, undoubtedly, have improved _ over the past decades. A. considerately B. approximately C. appropriately D. considerably
+【答案】：D
+【解析】：【详解】考查副词辨析。句意:由于改革开放,我们的生活条件,毫无疑问,在过去的几十年里有了很大的改善。A. considerately体谅地; B. approximately大约;C. appropriately适当地;D. considerably相当地,故选D。。
+
+
+【题干】：Peterson, a great archaeologist, said: “Archaeologists have been extremely patient because we were led to believe that the ministry was _ this problem, but we feel that we can't wait any longer.” A. looking out B. bringing out C. carrying out D. sorting out
+【答案】：D
+【解析】：【详解】考查动词短语辨析。句意:Peterson是一位伟大的考古学家,他说:“考古学家一直非常有耐心,因为我们被误导,认为政府的部门正在解决这个问题,但我们觉得我们不能再等下去了。” A. looking out当心;B. bringing out出版;C. carrying out实施;D. sorting out解决,故选D。。
+
+
+【题干】：In my driving lesson, a traffic rule that impressed me most is that in no time _ when the traffic lights turn red. A. all vehicles should stop B. should all vehicles stop C. should stop all vehicles D. should stop all vehicles
+【答案】：A
+【解析】：【详解】考查倒装。句意:在我的驾驶课上,给我印象最深的一条交通规则是,当交通灯变红时,所有的车辆都应该立即停车。in no time放句首不需要倒装,因为不是否定词,而是“立即”的意思。如果是表示否定意义的词,如in no case,in no way,by no means,意为“绝不”, 放在句首是要倒装的。故本题选A。。
+
+
+【题干】：Frankly speaking, I am not sure whether I _ this in the old days with that kind of equipment, which looks quite odd and ridiculous. A. should have done B. need have done C. would have done D. must have done
+【答案】：C
+【解析】：【详解】考查情态动词+have done。句意:坦率地说,我不确定在过去我是否会用这种设备做这件事,这看起来很奇怪和可笑。A. should have done表示本应该做某事,而实际上没有做某事;B. need have done表示本来需要做某事而没有做;C. would have done虚拟语气,表示对过去事情的假设,意思是“本来会做”;D. must have done表示对过去事情的肯定推测,译成“一定做过某事”。由“in the old days”可知,本句表示对过去事情的假设。故选C项。。
+
+
+【题干】：-Is this the first time you _ Beijing? -No. But it has been 3 years since I last here. A. visit; come B. visited; came C. have visited; came D. have visited; come
+【答案】：C
+【解析】：【详解】考查固定句型和时态。句意:——这是你第一次到北京吗?——不,但是从我上一次到这里来,已经有三年了。This is the first time that…是固定句型,that从句中用现在完成时,排除A和B,题干中表示“上一次到北京”,是发生在过去的事情,用一般过去时,所以排除D,故选C。【点睛】特殊句式:It is the first time that …当前面是is的时候,后面使用现在完成时;当前面是was的时候,后面使用过去完成时。本题前面是is,所以用现在完成时。。
+
+
+【题干】：-I have won the first prize in singing. -_ A. Congratulations! B. That’s right. C. You can’t be serious. D. Absolutely!
+【答案】：A
+【解析】：【详解】考查情景对话。句意:——我在唱歌比赛中获得了第一名。——祝贺。A. Congratulations! 祝贺;B. That’s right.那是正确的;C. You can’t be serious. 你别当真;D. Absolutely!绝对地,根据上文内容,故选A。。
+
+
+【题干】：A great number of students by the interviewer said that they were forced to practice the piano. A. to question B. to be questioned C. questioned D. questioning
+【答案】：C
+【解析】：【详解】考查非谓语动词。句意:大量被采访者提问的学生说,他们被迫练习钢琴。question的逻辑主语是students,它们之间是被动关系,所以用过去分词作定语,故选C。。
+
+
+【题干】：—Here you are at last. How about our plane? —Well, I’ve bought the tickets. The plane _ at 2:00 this afternoon. A. is going to take off B. takes off C. is to take off D. will take off
+【答案】：B
+【解析】：【详解】考查动词时态。句意:——你终于来了。我们的飞机呢?——我买了票。飞机将在下午两点起飞。表示飞机、列车等按照时刻表离开或者到达等用一般现在时,故选B。。
+
+
+【题干】：Hardly _ the house when he was caught. A. the thief had entered B. entered the thief C. had the thief entered D. was the thief entering
+【答案】：C
+【解析】：【详解】考查固定用法和倒装。句意:小偷一进房子就被抓住了。Hardly…when….为固定搭配,意为“一….就….”,此句型一般主句用过去完成时,如果半否定词hardly置于句首,句子要部分倒装。因此只有C项符合题意,故选C。。
+
+
+【题干】：He is the most excellent student in our class, and he always _ himself in his studies. A. buries B. hides C. covers D. leaves
+【答案】：A
+【解析】：【详解】考查动词。A. buries掩埋;B. hides躲藏;C. covers覆盖;D. leaves离开。句意:他是我们班最优秀的学生,他总是埋头苦读。结合句意句子用一般现在时态,主语是单数第三人称he,故选A。。
+
+
+【题干】：The door _ open and in rushed the crowd, shouting with anger. A. pushed B. knocked C. forced D. burst
+【答案】：D
+【解析】：【详解】考查动词。A. pushed推动;B. knocked敲,撞; C. forced强迫;D. burst爆发。句意:门突然开了,人群冲了进来,愤怒地叫喊着。结合句意可知答案为D。。
+
+
+【题干】：He is a man with rich experience, from _ much can be learned. A. whom B. which C. where D. what
+【答案】：A
+【解析】：【详解】考查定语从句。句意:他是一个经验丰富的人,可以从他身上学到很多东西。此处man是先行词,指人,在后面的定语从句中作介词from的宾语,介词后面指人用from,指物用which,故选A。。
+
+
+【题干】：We will get in touch with you as soon as tickets become _. A. temporary B. obvious C. available D. qualified
+【答案】：C
+【解析】：【详解】考查形容词辨析。句意:一有票卖,我们就将联系你们。A. temporary临时的;B. obvious显然的;C. available可以利用的,可以买到的;D. qualified有资格的。故选C。。
+
+
+【题干】：You may _ my opinion on this matter, but you must tell me how you would like to deal with it. A. set off B. set up C. set aside D. set out
+【答案】：C
+【解析】：【详解】考查动词词组词义辨析。句意:你可以对我在这件事上的观点置之不理,但是你必须告诉我你将如何处理。A. set off出发,引爆;B. set up建立;C. set aside把……放在一边;D. set out开始,着手。故选C。。
+
+
+【题干】：“Never teach a child anything _ you are not sure yourself”, said the expert to the parents. A. that B. what C. of which D. which
+【答案】：C
+【解析】：【详解】考查定语从句。句意:专家对父母说:“不要将你自己都没有把握的东西教给孩子。”句中先行词anything,在定语从句中作短语be sure of中介词of的宾语,故用关系代词which引导。故选C。【点睛】分析定语从句关键抓住两点:第一、找准先行词;第二、看先行词在定语从句中所作的成分。先行词往往为名词或代词,如本题中先行词为不定代词anything,再分析先行词anything在定语从句中所作的成分。题中的关键在于考生要知道从句中短语be sure of缺少了介词of,从而确定先行词anything在定语从句中作介词of的宾语,故确定关系词which。。
+
+
+【题干】：A powerful hurricane struck the town of America, _ at least ten deaths. A. caused B. to cause C. causes D. causing
+【答案】：D
+【解析】：【详解】考查非谓语动词。句意:一场强烈的飓风袭击了美国小镇,造成至少十人死亡。句中用现在分词作结果状语,表示前一件事情所带来自然而然的结果。故选D。【点睛】不定式和现在分词都可以作结果状语,但两者用法有区别:1、现在分词作结果状语,通常表示一种自然的结果,即属预料之中的事。2、不定式作结果状语,主要表示没有预料到的情况或结果,即属预料之外的事,通常与副词only连用。本题根据句意可知,属于意料之外的结果,故用不定式作结果状语。。
+
+
+【题干】：—I didn’t find the way to the station. —_ I had told you about it in detail. A. How come? B. No wonder. C. No problem. D. Who cares?
+【答案】：A
+【解析】：【详解】考查交际用语。句意:——我没找到去车站的路。——怎么会这样?我已经详细地告诉过你了。A. How come? 怎么会这样?B. No wonder.怪不得。C. No problem.没问题。D. Who cares?谁在乎?故选A。。
+
+
+【题干】：—Are you allowed _ the hall at this time? —Sorry, I’m afraid not. A. entering B. entered C. to enter D. enter
+【答案】：C
+【解析】：【详解】考查固定结构。句意:——你这个时候被允许进入大厅吗?——对不起,恐怕不能。be allowed to do sth.“被允许做某事”,故选C。。
+
+
+【题干】：When the time came to make the final decision for a course, I decided to apply for the one that _ my interest. A. limited B. reserved C. spoiled D. reflected
+【答案】：D
+【解析】：【详解】考查动词词义辨析。句意:当最终决定修哪门课的时候,我决定申请能反映我兴趣的那门课程。limit,限制;reserve保留;spoil宠坏;reflect反映,反射。结合句意可知,要选择的课程是能反应(reflect)我兴趣的那一门,reflect符合题意,其它选项不符合题意,故选D。。
+
+
+【题干】：Fortunately I _ a seat belt, otherwise I would have been injured. A. am wearing B. was wearing C. have been wearing D. have worn
+【答案】：B
+【解析】：【详解】考查虚拟语气。句意:幸运的是我系了安全带,否则我就受伤了。本题中 otherwise 表示“否则”,相当于一个虚拟条件句,其后相当于相应的主句。其中动词用了 would have done 的形式说明是与过去事实相反;所以前半句讲述的是过去的事实,用过去时态,再根据句意,我当时“正系着安全带”,要用进行时,综上,故选B。【点睛】英语中表示条件时有时没有连词 if,而是用 otherwise、or、but、but for 等形式表达条件,这种类型的虚拟语气被称之为含蓄的虚拟条件。例如本题中 otherwise 表示“否则”,相当于一个虚拟条件句,所以句子遵循虚拟语气的规则。otherwise后相当于相应的主句。其中动词用了 would have done 的形式说明是与过去事实相反;所以前半句讲述的是过去的事实,用过去时态,再根据句意,我当时“正系着安全带”,要用进行时,综上,故选B。。
+
+
+【题干】：She didn't understand why I paid a repair man when my brother would do it for _. A. nothing B. anything C. everything D. something
+【答案】：A
+【解析】：【详解】考查不定代词。A. nothing什么也没有;B. anything任何事情; C. everything 每件事情; D. something某事。句意:她不明白为什么我要付钱给一个修理工,而我的哥哥却愿意免费做这件事。for nothing“免费”,故选A。。
+
+
+【题干】：I was wondering the discussion would end up if we kept on arguing like this aimlessly. A. what B. that C. where D. which
+【答案】：C
+【解析】：【详解】考查宾语从句。句意:我想知道,如果我们继续这样漫无目的地争论下去,讨论将会有什么结果。结合句意可知此处是where引导的宾语从句,故选C。。
+
+
+【题干】：Had you listened to the doctor, you _ all right now. A. are B. were C. would have been D. would be
+【答案】：D
+【解析】：【详解】考查if引导的虚拟语气。句意:如果你听了医生的话,你现在就好了。此处是省略if的混合条件句,从句与过去的事实相反,主句与现在的事实相反,从句:If+主语+had+done主句,主语+ should/would/might/could+do。故选D。【点睛】If引导的虚拟语气: 1.表示与现在事实相反的情况 从句:If+主语+动词一般过去时(Be动词用were)主句:主语+ should/would/might/could+do:If I were you,I would take an umbrella.如果我是你,我会带把伞。(事实:我不可能是你) 2.表示与过去事实相反的情况 从句:If+主语+had+done主句:主语+should/would/might/could+have done:If I had got there earlier,I should/would have met her.如果我早到那儿,我就会见到她。(事实:去晚了) 3.表示与将来事实相反 从句:①if+主语+were to do②if+主语+should+do③if+主语+动词一般过去式(be动词用were)主句:主语+should/would/might/could+do:If he should come here tomorrow,I would talk to him.如果他明天来这儿的话,我就跟他谈谈。(事实:来的可能性很小,不可能)。
+
+
+【题干】：The examiner made us _our identification in order to be admitted to the text center. A. showing B. show C. showed D. to show
+【答案】：B
+【解析】：【详解】这里考查的是make复合结构。句意:考官要求我们出示身份证件以便被允许进入考试中心。"make+宾语+do sth.(不带to的不定式)"意为"使某人做某事"。故选B。。
+
+
+【题干】：_, we should take regular exercise, something _ can help to make you look good, feel good and be healthy. A. Anyhow; that B. Anyhow; which C. Somehow; which D. Somehow; that
+【答案】：A
+【解析】：【详解】考查副词及定语从句。句意:不管怎样,我们都应该进行有规则的运动,这些运动可以帮助使你看起来好,感觉好并且很健康。anyhow意为无论如何,不管怎样;somehow意为不知怎么地。根据句意可知前一个空用Anyhow。后一个空考查的是定语从句的引导词,先行词为something,属于不定代词,定语从句中缺少主语,所以用that引导。综上所述,故选A项。。
+
+
+【题干】：Don’t cross the street before the traffic _ turns to green light. A. notice B. signal C. symbol D. mark
+【答案】：B
+【解析】：【详解】考查名词辨析。句意:在交通信号变为绿灯之前不要过马路。notice通知,公告;signal信号;symbol符号,象征;mark标志。此处指信号灯,故选B。。
+
+
+【题干】：In this game you're supposed to work together as a team and solve the problems as they_. A. rose B. raise C. rise D. arise
+【答案】：D
+【解析】：【详解】考查动词辨析。句意:在这场比赛中,你们应该像团队一样协作,当有问题产生的时候解决它们。rose是rise的过去式,意为"起来,上升,上涨"。raise意为"筹集,升起,提高",rise意为"起来,上升,上涨",arise意为"产生"。故选D。。
+
+
+【题干】：You can use this room for your club activities tomorrow _ you keep it tidy and clean. A. for fear that B. on condition that C. in case D. even if
+【答案】：B
+【解析】：【详解】考查固定短语辨析。句意:如果你保持房间整洁,明天你可以用这个房间进行俱乐部活动。题干中表示“如果…”,A. for fear that唯恐;B. on condition that如果;C. in case万一;D. even if即使,故选B。。
+
+
+【题干】：You can’t imagine what great difficulty they had _ the old man to move out of the old house. A. persuaded B. to persuade C. with persuading D. persuading
+【答案】：D
+【解析】：【详解】考查固定句型。句意:你无法想象他们说服老人搬出那所旧房子有多大的困难。have difficulty (in) doing sth.做某事有困难,该句型是固定句型,故选D。。
+
+
+【题干】：Never _ forget that poem and the inspiration _ provided for my first novel. A. can I; which B. will I; that C. shall I; it D. must I; what
+【答案】：C
+【解析】：【详解】考查情态动词和定语从句。句意:我永远不会忘记那首诗和它为我的第一部小说提供的灵感。Can表示能够;will 表示将要;shall 用于第一人称,则表示决心;must 必须,故第一个空用shall。inspiration后面是定语从句,关系代词省略,定语从句还缺少主语the poem,用it特指前面的that poem,故选C。。
+
+
+【题干】：—I can’t think why he _ so angry. I meant no offence. —It’s typical of him to be sensitive. A. must have been B. should have been C. might have been D. can have been
+【答案】：B
+【解析】：【详解】考查情态动词+have done结构。句意:——我想不出他为什么这么生气。我无意冒犯。——敏感是他的特点。A. must have been对过去事实肯定的推测;B. should have been本应该做某事,而实际没有做;C. might have been表示一种可能性,一种推测;D. can have been表示推测,题干中表示“本应该做某事,而实际没有做”,故选B。。
+
+
+【题干】：It’s required that the football match _ put off _ the bad weather. A. be; because of B. would be; due to C. be; thanks to D. was; owing to
+【答案】：A
+【解析】：【详解】考查虚拟语气。句意:由于天气不好,足球比赛被推迟了。require要求,从句用should + v原形的虚拟语气,should可以省略。A. be; because of因为;B. would be; due to 由于;C. be; thanks to 多亏了;D. was; owing to由于。because of“因为”表示一种原因;thanks to“多亏了”表示感激。故选A。。
+
+
+【题干】：Madame Curie, for _ life had once been very hard, was successful later. A. whom B. whose C. which D. that
+【答案】：A
+【解析】：【详解】考查定语从句。句意:居里夫人的生活曾经很艰难,但后来成功了。这道题容易受思维定势的影响认为whose life是一个整体,但如果是whose life,则定语从句没有主语了,B错;定语从句的主语应该是life,本句可以改写为:life had once been very hard for her,所以在定语从句中介词for缺少了一个宾语。故选A。。
+
+
+【题干】：My money _. I must go to the bank to draw some of my savings out before I’ve none in hand. A. has run out B. is running out C. was running out D. runs out
+【答案】：B
+【解析】：【详解】考查时态和语态。句意:我的钱快花光了。我得先到银行把一些存款取出来,否则我手头就没有存款了。从后句可知,我手头还有一点钱,但很快要用完了,故用B项,进行时表示将来时。run out不用被动语态。故选B。。
+
+
+【题干】：His family was in Pakistan for a wedding two weeks ago. They were supposed to leave on Sunday, but were unable to flight delays. A. as for B. in addition to C. due to D. in spite of
+【答案】：C
+【解析】：【详解】考查介词短语搭配。句意:两周前,他的家人去巴基斯坦参加一个婚礼。他们本应该周日离开的,但是因为航班延误而未能离开。根据语境可知,此处表示“由于航班延误”。as for至于;in addition to除了;due to由于,应归于;in spite of不管,不顾。结合选项可知,C选项正确,故选C。【点睛】介词短语的固定搭配在一个句子中扮演着承上启下的重要作用,这些固定搭配只要平时记牢固了,考试也就没那么大难度了。如题目中,as for至于;in addition to除了;due to由于,应归于;in spite of不管,不顾。结合句意,分析四个选项短语意思,便可选出正确选项。。
+
+
+【题干】：The movie once _ a whole generation of people. It was proved to be of much _ in the education of people. A. affected; effect B. effected; affect C. effected; effect D. affected; affect
+【答案】：A
+【解析】：【详解】考查动词和名词词性。句意:这部电影曾经影响了整整一代人。它被证实对育人有很大的影响。affect v.影响;effect n.影响,结果。根据句意并分析句子结构可知,第一空在句中作谓语,故填动词affected;第二空,介词of后用名词,故填effect。结合选项可知,A项正确。故选A。【点睛】affect 与 effect 均可表示“影响”,其区别是:前者是动词(及物),主要指一时的影响,着重影响的动作,可指一般意义的影响(不分好坏),也可指不良影响;后者是名词(可数或不可数),两者的关系大致为:affect=have an effect on。。
+
+
+【题干】：Like most kids, our seven-year-old daughter was _ when we took her to Disneyland for the first time. A. disappointed B. inspired C. thrilled D. touched
+【答案】：C
+【解析】：【详解】考查形容词词义辨析。句意:像大多数孩子一样,当我们第一次带七岁的女儿去迪斯尼乐园时,她欣喜若狂。A. disappointed失望的;B. inspired卓越的,激动人心的;C. thrilled非常兴奋,极为激动;D. touched感动的。根据常识可知,第一次去迪士尼乐园应该是非常兴奋的,故选C。。
+
+
+【题干】：We took our umbrellas with us when we went out in order to _us from a heavy rain. A. ban B. preserve C. prevent D. protect
+【答案】：D
+【解析】：【详解】考查动词。句意:我们出门的时候带着雨伞,以防下大雨挨淋。A. ban禁止;B. preserve保护;C. prevent阻止;D. protect保护。protect sb. from doing意为“保护某人免遭……”。ban意为“禁止”;preserve意为“保护;维 护”;prevent意为“防止;阻止”。故选D。。
+
+
+【题干】：Fishing in shallow water in autumn, _ the water temperature is relatively high, does make sense. A. when B. which C. as D. where
+【答案】：D
+【解析】：【详解】考查定语从句。句意:秋天在有相当高的水温的浅水区钓鱼,确实是有意义的。本题定语从句的先行词是shallow water,定语从句the water temperature is relatively high的结构完整,应该使用关系副词引导定语从句,shallow water是表示抽象地点的名词,应该使用where引导。故D项正确。【点睛】本句考查了关系副词where引导的定语从句,当先行词表示地点时,不一定都用Where引导定语从句 。一般来说,英语学习者的脑海中会形成这样一个概念:在定语从句中,如果先行词是表示地点的名词(如place等),就用关系副词where引导定语从句。这种理解有一定的道理,比如下面这个句子: 1. If there is anyone out there who still doubts that America is a place where all things are possible, who still wonders if the dream of our founders is alive in our time, who still questions the power of our democracy, tonight is your answer. 如果还有人对美国是否是一个一切皆有可能的国家心存怀疑,还有人怀疑美国奠基者的梦想在我们所处的时代是否依然鲜活,还有人质疑我们的民主制度的力量,那么今晚,这些问题都有了答案。 这句话节选自美国总统奥巴马的胜选演说。我们看到,这里的place后面的定语从句是由关系副词where来引导。但是,如果认为只要先行词是表示地点的名词,则一定要用where来引导定语从句,那就大错特错了。 比如,在2006年上海高考英语中有这样一道选择题: 2. In an hour, we can travel to places _ would have taken our ancestors days to reach. A. where B. when C. which D. what 我们看到place在句中表示地点,但如果据此就认为空格处应填入where,那就错了。原因是什么呢?因为空格后接的是谓语would have taken,所以空格处待填入的关系词在从句中充当的应该是主语成分,而关系副词where不能做主语,因此,此处不能填入where。其实,该空格处应该填入which来充当主语,正确选项为C。 由此可见,“当先行词是表示地点的名词时,要用where来引导定语从句”的说法是片面的,它忽略了一个大前提——关系副词where在定语从句中必须作状语。也就是说,用关系副词where引导定语从句需要满足两个前提条件:一是先行词是表示地点的名词;二是关系词在定语从句中做地点状语。。
+
+
+【题干】：The society can remain good as long as we are willing to fight for it—and to fight against whatever imperfections _ exist. A. shall B. may C. should D. would
+【答案】：B
+【解析】：【详解】考查情态动词。句意:只要我们愿意为这个社会努力,愿意与所存在的缺陷抗争到底,这个社会就能永远美好。句中情态动词may意为“可能”,表示推测,语意较弱。根据句意,故B项正确。。
+
+
+【题干】：People spend half their time dreaming of getting rich, and the rest of their time thinking about all the things they _ if they got rich. A. will do B. did C. do D. would do
+【答案】：D
+【解析】：【详解】考查虚拟语气的语法应用。本句是指人们总是在梦想如果他们发财之后,他们会做什么。根据前句内容“People spend half their time dreaming of getting rich”可知叙述将来发生的事情,表示与将来事实相反,所以用would/should/could/might do或者were to do,选择would do表示将来虚拟。故D项正确。【点睛】本句是一个狭义含蓄条件的虚拟语气。狭义含蓄指的是不用任何语言方式显示条件,而是把条件隐藏在具体的原环境中, (1)用上下文暗示条件,如: I was so busy then, otherwise, I would have finished it. =(If I hadn’t been busy then, I would have finished it.) It rained yesterday, or I would have gone camping. =(If It hadn’t rained yesterday, I would have gone camping.) (2)用委婉语气暗示条件,如: Would you mind opening the window? =(Would mind if I opened the window.) Could you do me a favor to pass me the book? =( You would do me a favor if you should pass me the book. ) (3)用表示愿望的语气暗示条件,如: Long live the Chairman Mao! (= If Chairman Mao should live long.) (4)用其他语言环境暗示条件,如: That would be fine. ( 省略了If you should do it.) You might stay here forever. (省略了 If you wanted to.) I would not have done it. (省略了If I were you.)。
+
+
+【题干】：— A young researcher is reported to have died of heart attack, aged only 30. — _ I wonder how his family could stand the thought of losing him. A. How so? B. Forget it. C. Take it easy. D. Really a pity.
+【答案】：D
+【解析】：【详解】考查交际英语。A. How so? 怎么会这样?为何如此?B. Forget it.没关系;C. Take it easy. 别担心;D. Really a pity.真遗憾啊。句意:—据报道意为年轻的研究人员死于心脏病,只有30岁。—真遗憾啊!我想知道他的家人怎么能够承担得起失去他的痛苦啊!根据句意可知表示遗憾。故D项正确。。
+
+
+【题干】：Tea is the main evening meal, traditionally eaten at 5 o'clock in the evening, _ the diners are not drinking tea. A. even if B. in case C. as though D. so that
+【答案】：A
+【解析】：【详解】考查状语从句连词。A. even if即使;B. in case以防;C. as though似乎,好像;D. so that以便于,以至于;即使茶不会被端上桌,但是5:00开始的晚宴也叫茶宴。根据句意可知上下文表示让步关系,故A项正确。。
+
+
+【题干】：Throughout its early years, what we now call hip hop _ without even having a name. A. evolved B. is evolved C. had evolved D. evolves
+【答案】：A
+【解析】：【详解】考查时态。句意:在早期,现在被称为hip pop的音乐演变的时候甚至都没有名字。本句中在早期过程中,hip hop甚至都没有名字,从throughout its early year可以看出为过去式,所以用evolved。故A项正确。。
+
+
+【题干】：Stephen Hawking's crowning achievement was his prediction in the 1970s _ black holes can emit energy, despite the classical view that nothing can escape their gravity. A. when B. what C. how D. that
+【答案】：D
+【解析】：【详解】考查同位语从句。句意:Stephen Hawking最大的成就是在20世纪70年代预测宇宙黑洞能够发出能量,而传统观点认为任何事物都无法逃避重力。句中that引导同位语从句解释名词prediction的内容,that在句中不充当任何成分,只是一个引导词。故D项正确。【点睛】本题考查了同位语从句,当同位语部分是个句子的时候,就是同位语从句,这种用法比较"固定": 一、在复合句中用作同位语的从句叫同位语从句。它一般跟在某些名词后面,用以说明该名词表示的具体内容。 I heard the news that our team had won.我听到了我们队获胜的消息。 二、可以跟同位语从句的名词通常有news,idea,fact,promise,question,doubt,thought,hope,message,suggestion,words(消息),possibility, decision等(一般的“抽象”名词都可用)。 I’ve come from Mr. wang with a message that he won’t be able to see you this afternoon. 我从王先生那里来,他让我告诉你他今天下午不能来看你了。 三、英语中引导同位语从句的词通常有连词that,whether,连接代词what,who。连接副词how, when, where等。(注:if不能引导同位语从句。) He must answer the question whether he agrees with it or not. 他必须回答他是否同意这样一个问题。 注:that在同位语从句中不充当任何成分,只是引导词而已。。
+
+
+【题干】：Ding Yanyuhang took part in a training session _ the NBA China game in Shenzhen. A. in accordance with B. in preparation for C. in preference to D. in association with
+【答案】：B
+【解析】：【详解】考查介词短语辨析。A. in accordance with按照;B. in preparation for准备…;C. in preference to偏爱,更喜欢; D. in association with与…有联系;句意:为了准备在深圳的NBA赛事,丁彦雨航培训参加了训练。根据句意可知B项正确。。
+
+
+【题干】：— He spent little money in repairing the roof. Now the rain has ruined half his furniture. — _. This is a plain example. A. A penny saved is a penny gained B. Many a little makes a mickle C. Penny wise and pound foolish D. From saving comes having
+【答案】：C
+【解析】：【详解】考查俗语。A. A penny saved is a penny gained省一分钱就是赚一分钱;B. Many a little makes a mickle积少成多;C. Penny wise and pound foolish小事聪明大事糊涂;D. From saving comes having富有来自节约。句意:—他几乎没有花什么钱修屋顶,现在雨水毁掉了一半的家具。—小事聪明,大事糊涂。这就是一个典型的例子。根据句意可知C项符合语境,故选择C项。。
+
+
+【题干】：It was after having her first child at a time _ my mother was working as a lawyer _she decided to run for governor of the state. A. that; that B. which; that C. that; who D. when; that
+【答案】：D
+【解析】：【详解】考查强调句式和定语从句。句意:在我母亲做律师的时候生了第一个孩子后,她决定竞选州长。根据句意和结构可知:第一个空处是定语从句,先行词是time,空格处词应该在从句中做时间状语,应使用关系副词when引导;第二个空格处是强调句的that,符合强调句式的基本结构It is/was+强调部分+ that从句。故选D。【点睛】强调句是高考中常考的知识点之一。在英语中,为了突出强调句子的某一个成分(谓语除外),达到强调或使听话人特别注意这一部分的目的,便形成了一种强调句型。其结构为It is/ was+被强调的部分+that/ who+句子的其他部分。本题将定语从句和强调句放在一起考查,考生需要判断被强调的部分中有一个定语从句,然后再考虑强调结构。。
+
+
+【题干】：Positive thinking puts power in our mind to act instead of staying stuck considering the circumstance or the mistake _. A. made B. to be made C. having been made D. had made
+【答案】：A
+【解析】：【详解】考查非谓语动词。句意:积极的想法让你充满能量,不再陷在已经发生的情况或错误之中。句中名词the circumstance or the mistake与make之间为被动故选,故用过去分词作定语。故选A。。
+
+
+【题干】：Don’t be angry any more. I’m sure he ignored you by accident and not _. A. by chance B. by mistake C. by design D. by force
+【答案】：C
+【解析】：【详解】考查介词短语辨析。句意:别再生气了。我敢肯定,他忽视你是偶然的,而不是故意的。A. by chance偶然的;B. by mistake错误地;C. by design故意地;D. by force使用暴力。由“Don’t be angry any more.”可知,C选项正确。。
+
+
+【题干】：Donald. J. Trump insists that he _ the phone in his Government office all the time, instead of his own cellphone and that the New York Times _ the fake news. A. uses; stops B. use; stops C. uses; stop D. use; stop
+【答案】：C
+【解析】：【详解】考查insist的用法。句意:Donald. J. Trump坚称他一直在使用政府办公室的电话,而不是自己的手机,并且坚持要求纽约时报应该停止报道虚假信息。第一个insist表示“坚持说”, insist表示“坚持说”“坚持认为”,从句所指的通常是已经发生的事或已存在的状态,谓语一般用陈述语气,本从句根据主句用一般现在时。第二个insist表示“坚持要”后接宾语从句,宾语从句通常用虚拟语气(即should+动词原形),should可以省略。故C选项正确。【点睛】insist其后可接that-从句,但要根据意思的不同而分清两种情况:(1)表示“坚持要”“一定要”,从句所指的一般是尚未实现的事实,此时谓语通常用虚拟语气(即should+动词原形),而且引导词that一般不省略(尤其是当已经省略 should 时)。(2) 表示“坚持说”“坚持认为”,从句所指的通常是已经发生的事或已存在的状态,谓语一般用陈述语气,引导词 that 可省略。 根据句子的语境以及句意,可以判断出insist后接了两个宾语从句,insist第一个意思是表示“坚持说”,所以从句用陈述性的语气,且句子为一般现在时,所以用uses。而insist第二个意思表示“坚持要”,所以从句谓语动词用虚拟语气(即should+动词原形),所以用use。综上所述,C选项正确。。
+
+
+【题干】：When the authorities refuse to register The Slants as an Asian American band’s name, are they _ its rights? A. challenging B. violating C. abusing D. confirming
+【答案】：B
+【解析】：【详解】考查动词辨析。A. challenging挑战;B. violating侵犯;C. abusing滥用;D. confirming确定;句意:当官方拒绝注册“The Slants”为亚洲乐队的名称时,他们是在侵犯乐队的权利吗?根据句意可知B项正确。。
+
+
+【题干】：— You are so kind, honey, but I prefer a beautiful dress. — OK. _. A. You’ve got me there B. You name it C. You have the last word D. You are pulling my leg
+【答案】：C
+【解析】：【详解】考查交际用语。A. You’ve got me there你难住我了。B. You name it凡你想得起的,不管什么;C. You have the last word你最后决定;. You are pulling my leg你在开我的玩笑。句意:—亲爱的,你真是太好了,可是我想要那件漂亮的裙子。—好的,你最后做决定。根据句意可知C项正确。。
+
+
+【题干】：_ a man realizes that his father was right, he usually has a son who thinks he is wrong. A. After B. Until C. The moment D. By the time
+【答案】：D
+【解析】：【详解】考查状语从句连词。句意:到一个人意识到他的父亲正确的时候,他通常都有一个认为他错了的儿子。A. After在……之后;B. Until直到……才……;C. The moment一……就……;D. By the time到……为止;故D项正确。。
+
+
+【题干】：— What do you mean when saying every minute counts? — A man who dares to waste one hour of time _ the value of life. A. hadn’t discovered B. hasn’t discovered C. didn’t discover D. isn’t discovering
+【答案】：B
+【解析】：【详解】考查时态。句意:— 当你说每分钟都很重要的时候,你什么意思?— 敢于浪费一小时时间的人还没有意识到生活的价值。根据句意可知正是他们没有意识到生活的价值,才敢于浪费时间。表示过去发生的事情对现在的影响,要用现在完成时。故B项正确。。
+
+
+【题干】：Father broke into a violent _ at the sight of his son being beaten by a big man and charged straight at him. A. passion B. inspiration C. friction D. occasion
+【答案】：A
+【解析】：【详解】考查名词辨析。A. passion激情,盛怒;B. inspiration激励,灵感;C. friction摩擦;D. occasion时机,场合;句意:看见儿子被一个大人揍了,父亲盛怒地冲了进来,径直冲向他。根据句意可知A项正确。。
+
+
+【题干】：_ related industries, Beijing will also commit to promoting the intelligent connected vehicle (ICV) industry, whose future market is huge. A. In virtue of B. In terms of C. On top of D. On behalf of
+【答案】：C
+【解析】：【详解】考查介词短语辨析。A. In virtue of通过,由于;B. In terms of就…而言;C. On top of 除…之外; D. On behalf of代表;句意:除了相关的工业之外,北京还承诺促进ICV,ICV未来的市场很巨大。根据句意可知C项正确。。
+
+
+【题干】：— Do you think it is likely for the _ project to be completed in only 9 months? — Well, goodness knows. A. dynamic B. delicate C. ambiguous D. ambitious
+【答案】：D
+【解析】：【详解】考查形容词辨析。A. dynamic戏剧化的;B. delicate微妙的,纤细的;C. ambiguous模糊的;D. ambitious有野心的,有抱负的;句意:你认为这个有抱负的项目可能在9个月之内完成吗?根据句意可知D项正确。。
+
+
+【题干】：Jim _ the size of this board and has found that it _. A. has measured; measures five metres in width B. measured; is measured five metres wide C. has measured; is measured five metres wide D. measures; has a measure of five metres wide
+【答案】：A
+【解析】：【详解】考查时态和语态。句意:吉姆量过这块板的尺寸,发现它有五米宽。根据and has found that it _.可知用现在完成时,排除B和D,measure 当“测量”讲时,后面加数值,用主动语态,故选A。。
+
+
+【题干】：All of us were _ by the _ question _ by a six-year-old boy. A. puzzled; puzzling; rose B. puzzling; puzzled; raised C. puzzled; puzzling; raised D. puzzled; puzzled; being raised
+【答案】：C
+【解析】：【详解】考查非谓语动词。句意:我们都被一个六岁男孩提出的令人困惑的问题难住了。V+ed修饰人,v+ing修饰物,question与raise之间是被动关系,所以第三个空用过去分词作定语,故选C。。
+
+
+【题干】：Jim, _ for months to find a job as an engineer, finally took a position in a factory _ cars. A. struggling; producing B. struggled; produced C. having struggled; producing D. to struggle; to produce
+【答案】：C
+【解析】：【详解】考查非谓语动词。句意:吉姆努力了好几个月想要找一份工程师的工作,最后在一家汽车制造厂找到了一份工作。第一个空是分词短语作时间状语,其逻辑主语Jim与struggle为主动关系,故排除B项。由句中的finally可知非谓语动词表示的动作发生在句中谓语took a position之前,故第一个空用现在分词的完成时;produce与其逻辑主语factory之间是主动关系,所以用现在分词作定语,故选C。。
+
+
+【题干】：Wu Yishu, _16-year-old girl, won _ first place in the CCTV Chinese Poetry Conference(中国诗词大会). A. /; the B. a; the C. a; a D. /; a
+【答案】：B
+【解析】：【详解】考查冠词。句意:武亦姝,一个16岁的女孩子,赢得了中央电视台节目中国诗词大会的第一名。第一空中使用不定冠词a修饰16-year-old girl,与Wu Yishu构成同位语关系;第二空在叙述词first前面加the,表示特指。故B项正确。。
+
+
+【题干】：I have some information about the astronauts _ is helpful to you. A. who B. what C. which D. whose
+【答案】：C
+【解析】：【详解】考查定语从句。句意:我有一些关于宇航员的信息,对你很有帮助。本句定语从句的先行词是some information,关系代词which指代先行词,引导定语从句并在句中做主语。关系代词who指人,whose通常做定语,what不能引导定语从句。故C项正确。。
+
+
+【题干】：Our brain is just like our body, the more we use it, _ it gets. A. the better B. the best C. the worse D. the worst
+【答案】：A
+【解析】：【详解】考查比较级用法。句意:我们的头脑就像我们的身体一样。用得越多,变得越好。本句考查了比较级的特殊句式“The+比较级,the+比较级”意为“越…就越…”,根据句意可知表示褒义“the better”,故A项正确。。
+
+
+【题干】：-Who do you think can do the voluntary work? -_ who is willing to help can do it. A. No one B. Anyone C. Someone D. Neither
+【答案】：B
+【解析】：【详解】考查代词。句意:—你认为谁能够做这个志愿工作?— 任何一个愿意帮助的人都能做。根据句意可知应该使用肯定含有,排除AD项,C项语气较弱,故B项正确。。
+
+
+【题干】：He usually _ one hour on his homework. A. spends B. costs C. takes D. pays
+【答案】：A
+【解析】：【详解】考查动词辨析。句意:他通常花一个小时做家庭作业。动词spend的主语可以是人,cost和take的主语通常不能是人,pay意为“支付”,与句意不搭配。故A项正确。。
+
+
+【题干】：Your father is sleeping. Please _ the radio . A. turn down B. turn off C. turn on D. turn over
+【答案】：A
+【解析】：【详解】考查动词短语辨析。A. turn down拒绝,调低;B. turn off转弯,改变方向;C. turn on打开;D. turn over翻转;句意:你爸爸正在睡觉,把录音机调低一点。根据句意可知A项正确。。
+
+
+【题干】：The girl _ long black hair is Lily. She is pretty. A. with B. at C. in D. on
+【答案】：A
+【解析】：【详解】考查介词。句意:留着长长的黑色头发的女孩是Lily,她非常漂亮。介词with可以表示“留有…”,表示状态。故A项正确。。
+
+
+【题干】：―I want to borrow the detective novel written by Agatha Christie,but I don’t know how long it can _. ―For two weeks. A. keep B. return C. be kept D. be returned
+【答案】：C
+【解析】：【详解】考查语态。句意:我想借Agatha Christie写得那本侦探小说,可我想知道我能够借阅多长时间。动词keep可以表示借阅图书,本句主语it与keep构成被动关系,故C项正确。。
+
+
+【题干】：-I’m afraid to ask questions because of my poor _ -You’d better practice speaking more. A. instruction B. pronunciation C. introduction D. construction
+【答案】：B
+【解析】：【详解】考查名词辨析。A. instruction使用说明;B. pronunciation发音;C. introduction介绍;D. construction建筑,建设;句意:—因为我发音不好,我不敢问别人问题。—你应该多练习发音。根据第二句中“practice speaking”,可知前者的发音不好,故B项正确。。
+
+
+【题干】：Though you failed , you should never _ A. put up B. give up C. call up D. come up
+【答案】：B
+【解析】：【详解】考查动词短语辨析。A. put up张贴,搭建,留宿;B. give up放弃;C. call up召集;D. come up发言,走近;句意:尽管你失败了,但你不应该放弃。根据句意可知B项正确。。
+
+
+【题干】：Teachers and students view school anniversaries as occasions to get together and their memory of old times. A. release B. relieve C. refresh D. resign
+【答案】：C
+【解析】：【详解】考查动词。A. release释放;B. relieve解除;C. refresh更新;D. resign辞职。句意:老师和学生把学校的周年纪念日看作是聚会和重温旧日记忆的机会。故选C。。
+
+
+【题干】：Located in the center of Melbourne, Australia, are two tall towers designed by building architect Phil Rowe, both of shaped like massive tree houses rather than skyscrapers. A. who B. them C. which D. whom
+【答案】：B
+【解析】：【详解】考查过去分词独立主格结构。句意:建筑设计师菲尔•罗设计的两个高塔位于澳大利亚墨尔本的中心,他们的形状像巨大的树屋而不是摩天大楼。此处shaped是过去分词,而不是被动语态,所以这里是过去分词的独立主格结构,故答案为B。。
+
+
+【题干】：—Hi, Lucy. I hear you failed the driving test last week. —Bad luck! When I wanted to stop my car, the brake work. A. mustn't B. won't C. wouldn't D. shan't
+【答案】：C
+【解析】：【详解】考查情态动词。句意:—嗨,露西。我听说你上星期的驾驶考试不及格。—倒霉!当我想停下我的车时,刹车坏了。结合句意可知答案为C。。
+
+
+【题干】：Advertising often functions as an indicator for _ society considers to be socially acceptable and desirable at the time. A. what B. whether C. how D. which
+【答案】：A
+【解析】：【详解】考查介词的宾语从句。句意:广告常常作为一种标志,说明当时社会认为什么是可接受和可取的。此处for后面是一个介词的宾语从句,从句缺少引导词,从句的谓语动词considers缺少谓语,故答案为A。。
+
+
+【题干】：, without waiting for any reply. A. Away he went B. Away went he C. Away did he go D. Did he go away
+【答案】：A
+【解析】：【详解】考查全部倒装。句意:他走了,没有等待回答。副词Away位于句子开头,句子用全部倒装,但是如果主语是人称代词,则不用倒装。故选A。【点睛】全部倒装 1) here, there, now, then, thus等副词置于句首, 谓语动词常用be, come, go, lie, run等表示来去或状态的动词。例如:Then came the bus. / Here is your letter. 2) 表示运动方向的副词或地点状语置于句首,谓语表示运动的动词。 Out rushed a boy。/Ahead sat an old woman. 但如果主语是人称代词,不能要倒装,比如:Here you are. Away they went.。
+
+
+【题干】：In less than two months, the world_ the UAE Asian Cup. A. was watching B. watched C. will be watching D. has been watching
+【答案】：C
+【解析】：【详解】考查时态语态。句意:在不到两个月的时间,全世界将会在观看阿联酋亚洲杯足球赛。介词短语“in+时间段 ”表示在多长时间以后,多用于将来和将来进行时。ACD三项都不表示将来,根据句意可知C项正确。。
+
+
+【题干】：- What do you think of Cristiano Ronaldo’s signing for Juventus? - His experience and range of skills will add a new _ to the team. A. extension B. foundation C. occupation D. dimension
+【答案】：D
+【解析】：【详解】考查名词辨析。句意:—你怎么看待C罗转会到尤文图斯?—他的经验和技巧会给这只队伍带来新的内容。A. extension延长,伸展;B. foundation根基,基础;C. occupation职业,占据; D. dimension尺寸; 容积; 内容;维度; 范围; 方面;根据句意可知D项正确。。
+
+
+【题干】：When having meals, more young people would like to_ the expenses, fifty to fifty. A. cut B. cover C. split D. spare
+【答案】：C
+【解析】：【详解】考查动词辨析及固定搭配。A. cut砍,切,削;B. cover覆盖,采访,(钱、时间)够用;C. split使…分开;D. spare抽出,匀出;动词短语split the expense 分摊费用。句意:当吃饭的时候,更多的年轻人愿意分摊费用。故C项正确。。
+
+
+【题干】：He took up the post of general manager, little knowing how this appointment_ his life. A. has changed B. had changed C. was to change D. was changing
+【答案】：C
+【解析】：【详解】考查时态。句意:他接受了总经理这个职位,却不知道这个任命将会如何改变他的生活。句中不定式短语be to do sth表示将来时,故C项正确。。
+
+
+【题干】：In many ways, the magic of AI is _ it’s not something you can see or touch. A. whether B. what C. that D. why
+【答案】：C
+【解析】：【详解】考查名词性从句。句意:在很多方面,人工智能的神奇之处在于它不是你能看见或触摸到的。“_ it’s not something you can see or touch”是表语从句,该从句意思和结构完整,解释人工智能的神奇之处在何处,故应用that引导该从句。故选C。【点睛】本题考查名词性从句,首先判断属于哪种名词性从句,再判断从句缺少什么成分,如果缺少主宾表,用what,不缺少成分和意思用that,缺少疑问词根据句意判断。。
+
+
+【题干】：Bella, who is always cheerful, creates a friendly work atmosphere in her office every day, _ her colleagues find pleasant and relaxing. A. where B. which C. when D. that
+【答案】：B
+【解析】：【详解】考查定语从句。句意:贝拉总是很开朗,每天在她的办公室里营造友好的工作氛围,她的同事们觉得这样的氛围轻松愉快。句中先行词为atmosphere,在非限定性定语从句中作动词find的宾语,所以用关系代词which引导。故选B。【点睛】分析定语从句关键抓住两点:第一、找准先行词;第二、看先行词在定语从句中所作的成分。先行词往往为名词或代词,如本题中先行词为名词atmosphere,再分析先行词atmosphere在定语从句中所作的成分,将先行词atmosphere带到从句中作动词find的宾语,所以用关系代词which引导。。
+
+
+【题干】：They_with joy when they heard that their class won the first place in the relay race. A. picked up B. split up C. took up D. sprang up
+【答案】：D
+【解析】：【详解】考查动词短语词义辨析。句意:当听到班级在接力赛中获得第一名时,他们高兴地跳了起来。A. picked up捡起;B. split up分裂;C. took up从事;D. sprang up跳起。故选D。。
+
+
+【题干】：—What a pity! You missed my birthday party. —Terribly sorry!_my uncle not visited me unexpectedly. A. Should B. Would C. Had D. Did
+【答案】：C
+【解析】：【详解】考查虚拟语气。句意:——真可惜!你错过了我的生日聚会。——非常抱歉!要是我叔叔没有突然来看我,(我就不会错过你的生日聚会了)。根据语境该句补充完整为:_ my uncle not visited unexpectedly, I wouldn’t have missed your birthday party. 该句表示对过去事情的虚拟,条件句部分应用had done形式。在虚拟条件句中,从句中有助动词had时,可将if省略,had提前,故C选项正确。。
+
+
+【题干】：Time magazine has chosen “The Guardians”,a group of journalists who_ for their work, as Person of the Year, for taking great risks in pursuit of greater truths. A. will target B. have targeted C. will be targeted D. have been targeted
+【答案】：D
+【解析】：【详解】考查时态。句意:《时代》周刊将“守护者”——一群因自己的工作而成为受攻击目标的记者评为年度人物,因为冒巨大的风险追求更伟大的真理。根据句意可知,记者被攻击,且已发生,有对现在的影响,所以用现在完成时。故选D。。
+
+
+【题干】：The large passenger aircraft C919 AC 101, independently designed and developed by China, turned out to be a huge _ success. A. controversial B. contradictory C. commercial D. compulsory
+【答案】：C
+【解析】：【详解】考查形容词词义辨析。句意:由中国独立自主开发和研究的大型民航客机C919 AC01是一次巨大的商业成功。A. controversial有争议的;B. contradictory矛盾的;C. commercial商业的;D. compulsory义务的。研发出民航客机这是商业成功。故选C。。
+
+
+【题干】：—Wow! You look funny in that sweater. —My grandmother gave it to me for Christmas. You know,_. A. each bird loves to hear himself sing B. beauty is in the eye of the beholder C. it is the thought that counts D. the outsider sees the most of the game
+【答案】：C
+【解析】：【详解】考查谚语。——哇!你穿那件毛衣看起来很滑稽。——我奶奶送给我的圣诞礼物。 你知道,礼轻情意重,更重要的是心意。A. each bird loves to hear himself sing孤芳自赏 B. beauty is in the eye of the beholder情人眼里出西施 C. it is the thought that counts礼轻情意重,更重要的是心意 D. the outsider sees the most of the game旁观者清。故选C。。
+
+
+【题干】：The application of VR in classroom teaching received a mixed_among students. A. explanation B. motivation C. reception D. adaptation
+【答案】：C
+【解析】：【详解】考查名词辨析。句意:学生们对虚拟现实技术在课堂教学中的应用有褒贬不一的接受。A. explanation解释;B. motivation动机;C. reception接受;D. adaptation适应。根据句意,故选C。。
+
+
+【题干】：-What bad weather! I’m afraid the trip will be canceled. -_it would clear up tomorrow. A. Even if B. If only C. Only if D. As if
+【答案】：B
+【解析】：【详解】考查短语辨析。句意:——真是糟糕的天气!恐怕旅行要被取消了。——要是明天能够放晴多好。A. Even if即使;B. If only只要,要是……多好;C. Only if只是在……时候;D. As if好似。If only 引导状语从句,表条件,故选B。。
+
+
+【题干】：To protect the environment, many firms in downtown New York encourage their employees to use _means of transportation, rather than the car. A. primitive B. alternative C. reliable D. adequate
+【答案】：B
+【解析】：【详解】考查形容词词义辨析。句意:为了保护环境,纽约市中心的许多公司鼓励员工乘坐其他交通工具,而不要开车。A. primitive基础的;B. alternative选择性的;C. reliable可靠的;D. adequate充足的。根据上文保护环境,故公司建议员工不要开车,而是乘坐其他的交通工具,故选B。。
+
+
+【题干】：Behind this shop lies a nonprofit organization, _helping survivors of drug and alcohol addiction, violence and other horrible experiences. A. one B. the one C. that D. which
+【答案】：A
+【解析】：【详解】考查代词。句意:这家店的背后是一个非营利性组织,一个帮助吸毒、酗酒、暴力和其他可怕经历的幸存者的组织。后文中没有谓语动词,故不属于定语从句,不能选择C或者D选项。且设空处做organization的同位语,表泛指,故不加冠词the,排除B选项。故综上选A。。
+
+
+【题干】：Start by looking at the clues behind you, if you want to know_lies ahead for housing prices in 2020. A. what B. that C. where D. Which
+【答案】：A
+【解析】：【详解】考查名词性从句的连接词。句意:如果你想知道2020年房价的走势,先看看你背后的线索。本句考查宾语从句的连接词。从句中缺少lies的主语,故选择连接词,指代事情,故用what。故选A。。
+
+
+【题干】：Without the ticket you gave to me, I _able to go to the concert tomorrow. A. weren’t B. won’t be C. wouldn’t be D. wouldn’t have been
+【答案】：C
+【解析】：【详解】考查虚拟语气。句意:没有你给我的票,我明天就不能去听音乐会了。without引导的虚拟语气,表示与将来事实相反,谓语动词为would/could/might (not) do sth.故选C。【点睛】without引导的虚拟语气 1.与现在事实相反: Without air,man couldn't exist on the earth.没有空气的话,人类将不能在地球上生存. 谓语动词:would/could/might (not) do sth. 2.与过去事实相反: Without your help,I would have failed the exam last week.没有你帮助的话,我上周考试可能就通不过了. 谓语动词:would/could/might (not) have done sth. 3.与将来事实相反: Without your ticket,I wouldn't be able to go to the concert tomorrow. 要是没有你的票的话,我明天就不能去听音乐会了. 谓语动词:would/could/might (not) do sth.。
+
+
+【题干】：Owing to his fault Kiprop is banned from training, _competing, with other athletes. A. regardless of B. in favor of C. in regard to D. let alone
+【答案】：D
+【解析】：【详解】考查固定短语辨析。句意:由于他的过失,基普罗普被禁止训练,更不用说和其他运动员比赛了。A. regardless of不管;B. in favor of支持;C. in regard to关于;D. let alone更不必说。本句考查固定短语的辨析,训练和比赛都属于被禁止的事务,故选D。。
+
+
+【题干】：_in smog as the pollution worsened, many cities of the Yangtze River Delta region had to close several freeways. A. Blanketed B. Having blanketed C. Being blanketed D. Blanketing
+【答案】：A
+【解析】：【详解】考查非谓语动词。句意:随着污染的加剧,长三角地区的许多城市被雾霾笼罩,不得不关闭多条高速公路。本句中已经存在谓语动词had to,且句中没有连词,故blanket只能做非谓语动词,与逻辑主语cities构成被动关系,故用过去分词blanketed,故选A。。
+
+
+【题干】：_the suggestions offered above, and you will look and feel much better in no time at all! A. Following B. Followed C. To follow D. Follow
+【答案】：D
+【解析】：【详解】考查祈使句。句意:遵循以上建议,你很快就会感觉好多了。分析句子可知,本句为:祈使句+and+表结果的陈述句(一般将来时)。所以空处应填follow。故D选项正确。。
+
+
+【题干】：Below the mountains, the sunshine reflects on the many lakes,_makes them shine likediamonds against the rich countryside. A. as B. that C. which D. what
+【答案】：C
+【解析】：【详解】考查关系代词。句意:在山下,阳光反射在湖面上,这使得它们像钻石一样照耀着富裕的乡村。分析句子可知,which代替前面的整个句子,在后面的非限制性定语从句中作主语。故C选项正确。。
+
+
+【题干】：There is really no obvious_that Justin was taken by aliens. A. defense B. evidence C. effort D. arrangement
+【答案】：B
+【解析】：【详解】考查名词词义辨析。句意:没有明显的证据显示贾斯汀是被外星人带走的A. defense 辩护;B. evidence 证据;C. effort 努力;D. arrangement 安排。obvious evidence“明显的证据”符合句意。且evidence后接that引导的同位语从句。故B选项正确。。
+
+
+【题干】：In that case, no one and nothing can_you, and you have the peace and joy that isforever. A. Judge B. invite C. guide D. disturb
+【答案】：D
+【解析】：【详解】考查动词辨析.句意:在这种情况下,没有人也没有什么事情可以打扰你,你拥有的是永远的和平与快乐。A. judge 评判;B. invite 邀请;C. guide 指导;D. disturb 打扰。由you have the peace and joy that is forever可知,你拥有的是永远的和平与快乐,所以判断出,没有人也没有什么事情可以打扰你。故D选项正确。。
+
+
+【题干】：A healthy friendship isone_you share your true feelings without fearing the end of therelationship. A. that B. who C. where D. when
+【答案】：C
+【解析】：【详解】考查关系副词。句意:健康的友谊是一种分享你真实感受的友谊,而不用担心关系的破裂。分析句子可知,先行词为one,在后面的定语从句中作地点状语,所以关系副词为where。故C选项正确。【点睛】定语从句关系词的选择可考虑以下三点: (1) 一看先行词的意义,即分清先行词是指人、指物、时间、地点还是原因(如指物时不能用who或who whom,指人时通常不用which等)。 (2) 二看关系词的句法功能,即分清关系词是担任什么句子成分,是作主语还是宾语、是作定语还是状语等(如作定语通常用whose,有时也用which;作状语要用when, where, why)作状语要。 (3) 三看定语从句的种类,即分清是限制性定语从句还是非限制性定语从句(如that和why通常不引导非限制性定语从句)。 分析句子可知,先行词为one,在后面的定语从句中作地点状语,所以关系副词为where。故C选项正确。。
+
+
+【题干】：Mother promised she _ me an English-Chinese dictionary. A. is buying B. will buy C. would buy D. has bought
+【答案】：C
+【解析】：【详解】考查宾语从句的时态。句意:妈妈答应给我买一本英汉词典。she _ me an English-Chinese dictionary.是一个宾语从句,主句Mother promised使用了一般过去时,从句要使用相应的过去的时态,所以用过去将来时,故选C。。
+
+
+【题干】：It was the first time in my life that I _ the wonderful scene. A. saw B. had seen C. have seen D. see
+【答案】：B
+【解析】：【详解】考查固定句型。句意:这是我有生以来,第一次看到这么美丽的景色。This / That/ It is/ was+the+序数词+名词+从句(从句中的时态要用完成时态;如前为is,则用现在完成时,如为was则用过去完成时),故选B。。
+
+
+【题干】：Can you imagine _ in the future. A. how will our life like B. what will our life like C. what will our life be like D. what our life will be like
+【答案】：D
+【解析】：【详解】考查宾语从句。句意:你能想象我们未来的生活是什么样的吗?在宾语从句中,用陈述语序,故选D。。
+
+
+【题干】：Her mother_ having read the letter when Mary found the envelope open. A. thought B. considered C. admitted D. advised
+【答案】：C
+【解析】：【详解】考查动词辨析。句意:玛丽发现信封被打开时,她母亲承认读过那封信。A. thought认为; B. considered考虑;C. admitted承认;D. advised建议,根据题意,故选C。。
+
+
+【题干】：The crowd cheered widely at the sight of the champion, who was reported _ the world record . A. breaking B. having broken C. to have broken D. break
+【答案】：C
+【解析】：【详解】考查动词不定式。句意:观众一看到这位据报道打破了世界纪录的冠军就欢呼起来。be reported to have done“被报道已经做了某事”,本句中的 have broken明显发生在cheered之前,所以用动词不定式的完成时。故选C项。【点睛】不定式的几种形式 一般式:to do 一般式的被动语态 :to be done 完成式:to have done 完成式的被动语态 :to have been done 进行式:to be doing 当非谓语动词所表示的动作在主谓语动作之前发生,非谓语动词应用完成式,若与主谓语动词同时发生或正在发生,则应用一般式或不定式的进行体。不定式的一般式所表示的动作一般发生在主谓语动作之后。 分析本题可知,be reported to have done“被报道已经做了某事”,本剧中的 have broken明显发生在,cheered之前,所以用动词不定式的被动语态。故选C项。。
+
+
+【题干】：We live in the age of distraction, _ we can be disturbed by all of kinds of useless and false information. A. which B. what C. when D. where
+【答案】：C
+【解析】：【详解】考查定语从句。句意:我们生活在一个注意力分散的时代,我们会被各种无用和虚假的信息所困扰。_ we can be disturbed by all of kinds of useless and false information.是一个定语从句,先行词age在从句中作时间状语,用关系副词when,故选C。。
+
+
+【题干】：After a long and trying investigation, the police have robbery as a motive for the murder. A. exceeded B. excelled C. excluded D. extended
+【答案】：C
+【解析】：【详解】考查动词辨析。句意:经过长时间的调查,警方排除了抢劫是谋杀的动机。A. exceeded超过;B. excelled超越; C. excluded排除;D. extended延长。根据After a long and trying investigation可知,警方长时间调查排除了抢劫是谋杀的动机。故选C。。
+
+
+【题干】：_ energy under the earth must be released in one form or another , for example, an earthquake. A. Assembled B. Accumulated C. Attempted D. Advanced
+【答案】：B
+【解析】：【详解】考查形容词词义辨析。句意:地下积累的能量必须以某种形式释放,例如地震。A. Assembled组合的,聚集的;B. Accumulated累积的;C. Attempted未遂的;D. Advanced高级的。地下累积的能量可以通过地震来进行释放。accumulated修饰energy合乎语境。故选B。。
+
+
+【题干】：None of the servants were _ when Mr. Smith wanted to send a message. A. available B. attainable C. approachable D. acceptable
+【答案】：A
+【解析】：【详解】考查形容词词义辨析。句意:当史密斯先生想发信息时,没有一个仆人可用。A. available可找到的,有空的;B. attainable可达到的;C. approachable可接近的;D. acceptable可接受的。available用作表语时,表示“(在一定的时间或场合是)可用的,在手边的,可利用的”。None of the servants were available指“身边没有仆人可用”。故选A。。
+
+
+【题干】：The rain was heavy and _ the land was flooded. A. consequently B. continuously C. constantly D. consistently
+【答案】：A
+【解析】：【详解】考查副词词义辨析。句意:雨很大,结果土地被水淹了。A. consequently因此,结果;B. continuously连续地;C. constantly不断地;D. consistently一贯地,始终如一地。consequently侧重指符合逻辑的结果,如:The company went bankrupt and consequently he lost his job.公司破产,因此他失业了。故选A。。
+
+
+【题干】：His aunt’s letters _ his beautiful days when they used to live together in his hometown. A. clear up B. come up C. catch up D. call up
+【答案】：D
+【解析】：【详解】考查动词短语。句意:他阿姨的信唤起了他对那些美丽的日子的回忆,当时他们一起住在他的家乡。A. clear up清理;B. come up上来;C. catch up赶上;D. call up打电话,唤起。结合句意可知,信使他回想起过去的日子,选择call up合乎语境。故选D。。
+
+
+【题干】：They only _ me half price for the fashionable skirt. A. earned B. charged C. exchanged D. donated
+【答案】：B
+【解析】：【详解】考查动词词义辨析。句意:那条时髦的裙子,他们只收我半价。A. earned赚钱;B. charged收费;C. exchanged交换;D. donated捐赠。短语charge sb. money for …“因…向某人收费多少 ”。故选B项。。
+
+
+【题干】：—I’d like to book a room for tonight. — Sorry, sir, but we don’t have any rooms_ right now. A. unable B. comfortable C. suitable D. available
+【答案】：D
+【解析】：【详解】考查形容词词义辨析。句意:“我想订一间今晚的房间。”“对不起,先生,我们现在没有房间了。”A. unable不能的;B. comfortable舒适的;C. suitable合适的;D. available可获得的,可利用的,(人)有空的。此处available意思为“可使用的”。故选D项。。
+
+
+【题干】：The poor studying conditions the students are looking forward to _ have attracted the local government’s attention. A. see improved B. seeing improved C. saw improving D. seeing
+【答案】：B
+【解析】：【详解】考查非谓语动词。句意:学生们期待改善的很差的学习条件已经引起了当地政府的关注。分析句子成分,the students are looking forward to_是定语从句,修饰先行词the poor studying conditions;短语look forward to中to是介词,后面接动名词作宾语,因此to后接seeing;根据句意,“学生渴望看到很差的学习条件得到改善”,improve和句子的主语the poor studying conditions之间是逻辑上的动宾关系,因此用“see+宾语+过去分词作宾语补足语”,可表达为see the poor studying conditions improved;综合上面的分析,应为动名词seeing作宾语,和过去分词improved作宾语补足语。故选B项。。
+
+
+【题干】：At the end of last year, a gas explosion happened in a coal mine in Chifeng Inner Mongolia, _ at least 30 people, some of _ were local people. A. having killed; them B. killed; who C. killing; whom D. killing; them
+【答案】：C
+【解析】：【详解】考查非谓语动词和定语从句。句意: 去年年底,内蒙古赤峰市一家煤矿发生瓦斯爆炸,造成至少30人死亡,其中一些是当地人。第1空:分析句意,“煤矿发生瓦斯爆炸”造成的结果是“30人死亡”,应用现在分词killing作结果状语,表示自然而然的结果; 第2空是非限制性定语从句,修饰先行词30 people,指人,在介词of后用whom,是“代词+介词+whom”结构引导非限制性定语从句。故选C项。。
+
+
+【题干】：It is years since he worked here, but his devotion to his work is_we often hear Spoken of. A. what B. that C. when D. why
+【答案】：A
+【解析】：【详解】考查名词性从句。句意:他已不在这里工作多年了,但我们经常听到人们谈起他对工作的奉献精神。分析句子可知,表语从句中,从句动词hear后缺少宾语,且指物,所以用连接词what引导。故选A。【点睛】本题考查名词性从句,首先判断属于哪种名词性从句,再判断从句缺少什么成分,如果缺少主宾表,用what,不缺少成分和意思用that,缺少疑问词根据句意判断。本题先判断考查的是表语从句,从句动词hear后缺少宾语,且指物,所以用连接词what引导。。
+
+
+【题干】：Theoretically, there are many solutions to such a problem, but it is not easy to find_easy to put into practice. A. that B. one C. it D. the one
+【答案】：B
+【解析】：【详解】考查代词。句意:从理论上讲,解决这一问题的办法有很多,但要找到一个容易付诸实践的办法是不容易的。A. that用来代替上文中出现的名词,它表示与前面同类的东西;B. one通常替代上文中出现过的可数名词,指同类异物;C. it代指前面提到过的名词,而且就是那个名词,即同类事物;D. the one用来指代同类事物中特指的另一个,可与that替换。句中代词one指代前句中的solution,是同类异物。故选B。。
+
+
+【题干】：My school kids,_parents most have gone to work in cities, are left behind and taken care of by their grandparents. A. whom B. whose C. of whom D. of whose
+【答案】：D
+【解析】：【详解】考查定语从句。句意:我所在学校的孩子,他们的父母大部分都去了城市工作,他们被留在家里,由祖父母照顾。句中先行词为kids,在非限定性定语从句中作parents的定语,所以用关系代词whose,介词of表示所有关系,即kids of my school。故选D。【点睛】分析定语从句关键抓住两点:第一、找准先行词;第二、看先行词在定语从句中所作的成分。先行词往往为名词或代词,如本题中先行词为名词kids,再分析先行词kids在定语从句中所作的成分,将先行词kids带到从句中可知只能作parents,故确定关系代词whose,介词of表示所有关系,即kids of my school。。
+
+
+【题干】：The young man,_of committing cybercrime against a company, was arrested and interviewed by the police. A. having suspected. B. being suspected C. suspected D. having been suspected
+【答案】：C
+【解析】：【详解】考查非谓语动词。句意:这名涉嫌对一家公司实施网络犯罪的年轻人被警方逮捕并接受了问话。句中The young man与suspect之间为被动关系,所以用过去分词作定语。B. being suspected表示正在进行的被动。D. having been suspected强调完成与被动,且时间在主句动作之前。分析句子,B、D选择项与题意不相符合。故选C。。
+
+
+【题干】：一Shall we go to see Midway this weekend? — _. I am otherwise engaged. A. Never mind B. It's out of question C. No problem D. It's out of the question
+【答案】：D
+【解析】：【详解】考查交际用语。——我们这个周末去看《决战中途岛》,好吗?——这是不可能的。我另有安排。A. Never mind不要紧;B. It's out of question没问题;C. No problem没问题;D. It's out of the question这是不可能的。根据“I am otherwise engaged.”有事情另有安排,所以是不可能去看电影的。 故选D。。
+
+
+【题干】：Don't you hate _when somebody shows up at a party wearing the same dress as you? A. him B. that C. it D. them
+【答案】：C
+【解析】：【详解】考查it的用法。句意:你难道不讨厌有人穿着和你一样的衣服出现在派对上吗?此处it是形式宾语,后面的when引导的从句是真正宾语。故选C。。
+
+
+【题干】：Voluntary teaching is a difficult and stressful job but one _ you can really help children in rural areas. A. that B. where C. which D. who
+【答案】：B
+【解析】：【详解】考查定语从句。句意:支教是一项困难而有压力的工作,但是你可以真正帮助农村地区的孩子。此处one指job,是先行词,在后面的定语从句中作地点状语,故选B。【点睛】分析定语从句关键抓住两点:第一、找准先行词;第二、看先行词在定语从句中所作的成分。先行词往往为名词或代词,如本题中先行词为one,再分析先行词one在定语从句中所作的成分,将先行词one带到从句中可知,只能作地点状语,故确定关系词where。。
+
+
+【题干】："If you find yourself wanting to bury your feelings deep inside you, don't do it. Instead express them in a responsible way." This advice encourages us to_. A. stand in others ' shoes B. seek to be understood C. practice mirroring D. listen with our ears and heart
+【答案】：B
+【解析】：【详解】考查常识推理。句意:“如果你发现自己想把感情埋在内心深处,千万不要这样做。而是用负责任的方式来表达。”这个建议鼓励我们去寻求被理解。A. stand in others ' shoes站在别人的立场上;B.seek to be understood寻求被理解;C. practice mirroring镜面练习;D.listen with our ears and heart 用我们的耳朵和心听。根据句意可知,不要把自己感情埋在内心深处,要表达出来,既然要表达出来,就是为了寻求被理解的,B项符合题意,故选B。。
+
+
+【题干】：“What are you doing?” Bruno asked in _, although he wasn't happy to come home and find someone going through his possessions. A. as a polite tone as he could muster B. as polite a tone as he could muster C. as polite as a tone he could muster D. a tone polite as he could muster
+【答案】：B
+【解析】：【详解】考查比较状语从句和副词。句意:“你在干什么?”布鲁诺尽量用礼貌的语气问道,尽管他回家后发现有人在翻他的东西是非常不高兴的。根据句意可知,as+adj.+a/an+名词+as sb. can和as+adj.+可数名词复数+as sb. can是同级比较,意为“尽某人可能”,其中第一个as后加形容词或副词,第二个as后可加状语从句,因此只有B选项符合该结构。故选B。。
+
+
+【题干】：Martin had said that his father was a chef, which Bruno knew to be true because he sometimes _ Martin from school, wearing a white smock and a tartan apron. A. picked B. caught C. collected D. brought
+【答案】：C
+【解析】：【详解】考查动词词义辨析。句意:Martin说过他的父亲是个厨师,Bruno知道这是真的,因为他爸爸有时从学校接马丁,他穿着一件白罩衫和一条格子呢围裙。A. picked捡起;B. caught抓住;C. collected收集;D. brought带来。根据句意可知,collect sb. from sp.是固定搭配,意为“从……接……”,而pick和up搭配时,意为“接某人”,故选C。。
+
+
+【题干】：Bruno was secretly pleased when he knew that it could be weeks before they went back because he had_ himself to the idea of spending one more month there. A. contributed B. stuck C. devoted D. resigned
+【答案】：D
+【解析】：【详解】考查动词词义辨析。句意:当布鲁诺知道他们可能还要几个星期才能回去时,他暗自高兴起来,因为他已经接受了在那里多呆一个月的想法。A. contributed贡献;B. stuck坚持;C. devoted贡献;D. resigned辞职。根据句意可知,resign oneself to doing意为“顺从于;听从于”,与题意相符,而contribute oneself to意为“投身于”,与devote oneself to意思相近,stick oneself to意为“坚持做……”。综上,故选D。。
+
+
+【题干】：—Many parents do almost everything for their children, but the children still fail them. —That's _ these parents are mistaken. A. how B. where C. what D. why
+【答案】：B
+【解析】：【详解】考查表语从句。句意:—许多父母几乎为他们的孩子做了一切,但孩子们仍然让他们失望。—这就是这些家长的错误所在。分析句子结构可知,空处填连接副词引导表语从句,其中where相当于the place where意为“……的地方”,在本句中的“地方”是抽象意义,并非具体的地点,只有B选项符合题意,故选B。。
+
+
+【题干】：—I couldn’t tell Jack from his twin brother. —Me too, and there is no obvious_between them. A. contribution B. distinction C. promotion D. expression
+【答案】：B
+【解析】：【详解】考查名词词义辨析。句意:—我分不清杰克和他的孪生兄弟。—我也是,他们之间没有明显的区别。A. contribution贡献;B. distinction区别;C. promotion提升;D. expression表达。根据句意可知,孪生兄弟长相相似,区别并不明显,distinction意为“区别”,与题意相符,故选B。。
+
+
+【题干】：― Only those who have a lot in common can get along well. —_. Opposites sometimes do attract. A. I hope not B. I think so C. I couldn’t agree more D. I beg to differ
+【答案】：D
+【解析】：【详解】考查情景对话。句意:只有那些有很多共同点的人可以相处得很好。-_。有时候异性相吸。A. I hope not我希望不会;B. I think so我也这么想;C. I couldn’t agree more我完全同意; D. I beg to differ恕我不能赞同。根据“有时候异性相吸”,可知对方持有不同的意见。故选D项。。
+
+
+【题干】：In many countries in the world, breakfast is a snack _ a meal, but the traditional English breakfast is a full meal. A. less than B. better than C. other than D. rather than
+【答案】：D
+【解析】：【详解】考查短语辨析。句意:在世界上许多国家,早餐是小吃而不是一顿饭,但传统的英国早餐是一顿完整的餐。A. less than少于;B. better than好于;C. other than除了,不同于;D. rather than而不是。根据语意,很多国家的早餐都是小吃,不是完整的一餐。故选D项。。
+
+
+【题干】：Billy Crystal will host the Academy Awards again this year, and his performances always _ the expectations of most audience. A. sign up for B. drop out of C. give in to D. live up to
+【答案】：D
+【解析】：【详解】考查动词短语辨析。句意:Billy Crystal今年将再次主持奥斯卡颁奖典礼,他的表现总是不辜负大多数观众的期望。A. sign up for报名参加;B. drop out of退出;C. give in to屈服于;D. live up to不辜负,做到。根据前文,Billy Crystal再一次能主持奥斯卡颁奖典礼,说明他做到让观众很喜欢他,没有辜负观众的期望。故选D项。。
+
+
+【题干】：After a night of wrestling with his_, he decided to go to the police office to give himself up. A. consensus B. conscience C. consciousness D. convention
+【答案】：B
+【解析】：【详解】考查名词词义辨析。句意:在与自己的良心斗争了一整夜之后,他决定去警察局自首。A. consensus共识;B. conscience良心,良知;C. consciousness意识,知觉;D. convention习俗,常规,惯例。根据空后he decided to go to the police office to give himself up.可知,此处是与自己良心作斗争。故选B项。。
+
+
+【题干】：Our parents sat us down to read and paint_all we really wanted to do was to make a mess. A. when B. as C. since D. until
+【答案】：A
+【解析】：【详解】考查状语从句连词。句意:我们的父母让我们坐下来读书、画画,尽管我们真正想做的是弄得一团糟。A. when当……时候,虽然,尽管;B. as因为,当;C. since既然;D. until直到。分析句子可知,前后两句表让步,应用when引导让步状语从句,这里的when相当于though/although的用法,意为“虽然、尽管”。故选A项。。
+
+
+【题干】：About 85 of the large fire was_by Saturday night and most major roads have been reopened. A. deposited B. contained C. anticipated D. swallowed
+【答案】：B
+【解析】：【详解】考查动词词义辨析。句意:80%的大火在周六晚上被控制住,并且多数主要公路已经重新开放。A. deposited放置,存钱;B. contained控制;C. anticipated预期;D. swallowed吞没。根据most major roads have been reopened可知,多数公路已重新开放,说明火势被控制了。故选B项。。
+
+
+【题干】：Sun Yang said he would appeal against the CAS decision, _, to the public’s surprise, banned him from competition for eight years. A. where B. when C. as D. which
+【答案】：D
+【解析】：【详解】考查定语从句关系词。句意:孙杨说,他将对国际体育仲裁法庭的决定提出上诉,令公众惊讶的是,该决定禁止他参加比赛长达8年之久。分析句子可知,to the public’s surprise是插入语,the CAS decision后是一个非限制性定语从句,the CAS decision是先行词,表物,在从句中作主语,应使用关系代词which引导。故选D项。【点睛】非限定性定语从句起补充说明作用,在句子中不充当成分,缺少也不会影响全句的理解,它与主句往往用逗号隔开。1.which引导的非限定性定语从句是用来说明前面整个句子的情况或主句的某一部分。2.as有时也可用作关系代词。as引导非限制性定语从句,若as在从句中作主语,其引导的句子可以放在句首,也可以放在句中,as不可与从句分开。但which引导的非限制性定语从句只能放句中,which可与从句分开。3.在非限定性定语从句中,关系词不能用that和those。在本题中,the CAS decision后是一个非限制性定语从句,在从句中作主语,应使用关系代词which引导。故选D项。。
+
+
+【题干】：Privacy is like health. Only when it is gone_you had done more to protect it. A. do you wish B. you wish C. did you wish D. you wished
+【答案】：A
+【解析】：【详解】考查部分倒装。句意:隐私就像健康。只有当它消失的时候,你才会希望你做了更多的事情来保护它。Only+状语从句,放句首,主谓部分倒装,又因整句话以一般现在时为主,所以用do you wish。故选A项。【点睛】部分倒装句注意事项: 1.only+副词/介词短语/状语从句,放句首,主谓部分倒装。2.only+宾语,放句首,无需倒装。 在本题中only+状语从句(when it is gone)放句首,所以要主谓部分倒装,整句话以一般现在时为主,故用do you wish。。
+
+
+【题干】：—Guess what? Zark_a company with his partner. —Gosh! It’s no more than two years since he studied in the university. A. operated B. is operating C. has operated D. had been operating
+【答案】：B
+【解析】：【详解】考查动词时态。句意:——你猜怎么着?扎克正和他的合伙人经营一家公司。——天哪!他大学毕业刚两年。根据Guess what?及Gosh!可知,此处用现在进行时表示Zark现在正和人合作开公司。故选B项。。
+
+
+【题干】：Doctors are fighting a_battle to save the little girl’s life. A. modest B. flexible C. compulsory D. desperate
+【答案】：D
+【解析】：【详解】考查形容词词义辨析。句意:医生们正在进行一场殊死搏斗以挽救小女孩的生命。A. modest谦虚的;B. flexible灵活的;C. compulsory义务的;D. desperate不顾一切的。根据to save the little girl’s life可知,医生们正在不顾一切的抢救小女孩的生命。故选D项。。
+
+
+【题干】：— I’m delighted that we have accomplished this tough task successfully. —_. There is still a lot of work to be done here. A. You can say that again B. It’s hard to say C. I’d rather you didn’t D. Far from it
+【答案】：D
+【解析】：【详解】考查情景交际。句意:——我很高兴我们成功地完成了这项艰巨的任务。——远非如此。这里还有许多工作要做。A. You can say that again说得好;B. It’s hard to say很难说;C. I’d rather you didn’t我宁愿你没有;D. Far from it远非如此。根据accomplished this tough task successfully和There is still a lot of work to be done here.可知,此空表示的意思是“远非如此”。故选D。。
+
+
+【题干】：The outbreak of the coronavirus globally has led to over thousands of people_to hospital for treatment, _ the world to be in deep sorrow. A. sending; causing B. sent; having caused C. being sent; causing D. to send; to cause
+【答案】：C
+【解析】：【详解】考查非谓语动词。句意:冠状病毒在全球范围内的爆发已经导致成千上万的人被送往医院接受治疗,世界陷入深深的悲痛之中。固定搭配:lead to后跟名词作宾语。此处动名词逻辑主语people和send之间是一种被动关系,是动名词一般式的被动式作宾语;句子主语coronavirus和cause之间是一种主动关系,根据句意可知,表示意料之中的结果,用现在分词。故选C。。
+
+
+【题干】：_ the honored national hero, we set up a primary school _ after him. A. In honor of; naming B. In face of; named C. In place of; naming D. In memory of; named
+【答案】：D
+【解析】：【详解】考查短语辨析和过去分词。句意:为了纪念这位光荣的民族英雄,我们建立了一所以他的名字命名的小学。根据the honored national hero可知第一空填In memory of;name after“以……命名”,且school和name之间是一种被动关系,故用过去分词作后置定语。综上,故选D。。
+
+
+【题干】：It was in his iron-fist way _ corruption in the southern state _ the 70-year-old man built a political name. A. to fighting, where B. of fighting, that C. of fighting, where D. to fighting, that
+【答案】：B
+【解析】：【详解】考查动名词和强调句型。句意:这位70岁的老人正是以铁腕的方式在这个南方州与腐败作斗争,从而建立了自己的政治名声。固定搭配:the way of doing sth.“做某事的方式”,所以第一空填of fighting;第二空是强调句式:It is/was +强调部分+that……,所以填that。故选B。【点睛】浅谈强调句 1. 用It is/was...that/who...句型表示强调。 (1)陈述句的强调句型:It is/was+被强调部分(通常是主语、宾语或状语)+that/who(当强调主语且主语指人)+其它部分。 e.g. It was yesterday that he met Li Ping. (2)一般疑问句的强调句型:同上,只是把is/was提到it前面。 e.g. Was it yesterday that he met Li Ping? (3)特殊疑问句的强调句型:被强调部分(通常是疑问代词或疑问副词)+is/was+it+that/who+其它部分?e.g. When and where was it that you were born? 注:被强调的部分(通常是句子的主语、状语、宾语或宾语补足语)放在is/was的后面,如被强调的是人,则后面可用who,whom等代替。 2. not...until...句型的强调句: 句型为:It is/was not until+被强调部分+that+其它部分: e.g. 普通句:He didn't go to bed until/till his wife came back. 强调句:It was not until his wife came back that he went to bed. 3. 强调谓语动词:用助动词do, does或did加动词原形来强调谓语动词。注意:此种强调只用do/does和did,没有别的形式;过去时态用did,后面的谓语动词用原形。如:Do come early. 务必早来。He did send you a letter last week. 昨天他确实寄给你一封信。。
+
+
+【题干】：No European country is _ the economic consequences of the coronations,but the pain won't be divided equally. A. escaping B. avoiding C. surviving D. declining
+【答案】：A
+【解析】：【详解】考查动词词义辨析。句意:没有一个欧洲国家可以逃脱这场疫情带来的经济危机,但是每个国家的受创程度却各不相同。A. escaping逃脱;B. avoiding避免;C. surviving幸存;D. declining衰退。根据句意可知,escape可以作及物动词,此处指逃脱或避开这场疫情带来的经济危机,故选A。。
+
+
+【题干】：An Australian-Chinese woman was asked to leave China within a specified period of time by Beijing police, with her work-related residence permit canceled _ the Chinese Exit and Entry Administration Law. A. in favor of B. inline with C. in recognition of D. in honor of
+【答案】：B
+【解析】：【详解】考查词组辨析。句意:一个澳大利亚华人女士被要求在指定的时间里离开中国,因为根据中华人民共和国出入境管理法,她的工作居留许可已经被取消了。A . in favor of赞同支持;B. inline with符合;与…一致,根据;C. in recognition of承认…而;为酬谢;D. in honor of向…致敬,向…表示敬意;为庆祝…。根据句意可知,inline with the Chinese Exit and Entry Administration Law意为“根据中华人民共和国出入境管理法”,故选B。。
+
+
+【题干】：一Mary, you water the plants n the garden and I will cook the dine. 一OK,_. A. my pleasure B. no way C. I'm glad to hear that D. that's settled
+【答案】：D
+【解析】：【详解】考查情景交际。句意:——玛丽,去花园给植物浇一下水,我去烧晚饭。——好的,就这么定了。A. my pleasure我很荣幸 ;B. no way没门;C. I'm glad to hear that我很高兴听到这个;D. that's settled一言为定。根据句意可知,that's settled意为“一言为定”,与题意相符,故选D。。
+
+
+【题干】：_ for the efforts of medical staff, the spread of the novel coronavirus would not be controlled, which astonishes the whole world. A. Were not it B. Were it not C. Had not it been D. If it were
+【答案】：B
+【解析】：【详解】考查虚拟语气的倒装。句意:要不是医护人员的努力,新型冠状病毒的传播速度不会被控制住,这一点让全世界都很惊叹。此处是省略if的虚拟语气,结合主句would not be controlled可知与现在事实相反,be动词were放在主语it前面,故选B。【点睛】If引导的虚拟语气: 1.表示与现在事实相反的情况 从句:If+主语+动词一般过去时(Be动词用were)主句:主语+ should/would/might/could+do:If I were you,I would take an umbrella.如果我是你,我会带把伞。(事实:我不可能是你) 2.表示与过去事实相反的情况 从句:If+主语+had+ done主句:主语+should/would/might/could+ have done:If I had got there earlier,I should/would have met her.如果我早到那儿,我就会见到她。(事实:去晚了) 3.表示与将来事实相反 从句:①if+主语+were to do②if+主语+should+ do③if+主语+动词一般过去式(be动词用were)主句:主语+should/would/might/could+ do: If he should come here tomorrow,I would talk to him.如果他明天来这儿的话,我就跟他谈谈。(事实:来的可能性很小,不可能)。
+
+
+【题干】：Will looked up and smiled, his face blank, polite. I’ll certainly _ it in mind. A. hold B. receive C. spare D. bear
+【答案】：D
+【解析】：【详解】考查动词辨析。句意:威尔抬头一笑,脸上毫无表情,彬彬有礼。我一定会记住他的表情的。A. hold紧握;B. receive收到;C. spare分让;D. bear忍受、心怀;根据前面对威尔的表情的描述可知此处用bear…in mind表示“记住”,故D项正确。【点睛】本题抓住前面对威尔的表情的描述是关键,根据空前的“Will looked up and smiled, his face blank, polite.”可知,威尔抬头一笑,脸上毫无表情,彬彬有礼,此处是说我一定会记住他的表情的,bear…in mind表示“记住”,故D项正确。。
+
+
+【题干】：The two sisters were so busy last night that _ of them had time to look after the baby. A. either B. neither C. any D. none
+【答案】：B
+【解析】：【详解】考查不定代词。句意:两姐妹昨晚太忙了,两个人都没有时间照顾孩子。A. either两者之一;B. neither两者都不;C. any 任何;D. none一个也没有,指三者或三者以上的人或事物。根据前半句The two sisters were so busy可知,两个人都没时间照顾孩子,neither表示“两者都不”,故选B项。。
+
+
+【题干】：Scientists are studying animals to look for proof _ they have feelings similar to ours. A. that B. what C. whether D. which
+【答案】：A
+【解析】：【详解】考查同位语从句。句意:科学家们正在研究动物,以寻找它们与我们有相似感觉的证据。抽象名词proof之后的从句they have feelings similar to ours不缺少句子成分,说明了proof的具体内容,因此是proof的同位语从句,且从句结构和意思完整,故用that引导。故选A项。【点睛】that引导的定语从句和同位语从句的区别可以从结构上区分:that是否做成分。that在定语从句中要充当成分,比如从句的主语或宾语;而that在同位语从句中不做任何成分,仅起连接词的作用。如本题目中抽象名词proof之后的从句they have feelings similar to ours不缺少句子成分,说明了proof的具体内容,因此是proof的同位语从句,且从句结构和意思完整,故用that引导。。
+
+
+【题干】：In the afternoon, Tom and Jerry sat side by side, _ how they could solve that problem. A. discussed B. having discussed C. to have discussed D. discussing
+【答案】：D
+【解析】：【详解】考查非谓语动词。句意:下午,汤姆和杰瑞并排坐着,讨论如何解决这个问题。分析句子可知,动词discuss在此处是非谓语动词,discuss和主语Tom and Jerry之间是逻辑上的主谓关系,应用现在分词做伴随状语,表主动。B项having discussed强调“讨论”发生在谓语动作之前,不符合语境。故选D项。【点睛】非谓语动词,又叫非限定动词,非谓语动词是指在句子中不是谓语的动词,主要包括不定式、动名词和分词(现在分词和过去分词),即动词的非谓语形式。判断题中非谓语动词与逻辑主语之间是什么关系,如本题中是逻辑上的主谓关系,应用现在分词做伴随状语,表主动。B项having discussed强调“讨论”发生在谓语动作之前,不符合语境。故选D项。。
+
+
+【题干】：Some parents argue that it is their job to get their kids _ in community service. A. to involve B. involved C. involving D. involve
+【答案】：B
+【解析】：【详解】考查非谓语动词。句意:一些家长认为让孩子参与社区服务是他们的要做的工作。get sb. involved in意为“让某人卷入”,动词involve和逻辑主语their kids是逻辑上的动宾关系,因此用过去分词involved,作宾语补足语。故选B项。。
+
+
+【题干】：I was surprised how a community lost so much and was still able to recover, and this left the deepest impression_ me. A. in B. on C. with D. up
+【答案】：B
+【解析】：【详解】考查固定搭配。句意:我很惊讶一个社区失去了这么多,但仍然能够恢复,这给我留下了最深刻的印象。leave a(n) +adj+impression on sb表示“给某人留下……的印象”,故B项正确。。
+
+
+【题干】：Are Senior High teachers similar _ Junior High teachers? A. with B. to C. towards D. from
+【答案】：B
+【解析】：【详解】考查固定搭配。句意:高中教师和初中教师相似吗?be similar to表示“与……相似”,故B项正确。。
+
+
+【题干】：_ a ride it is! A. How B. So C. Such D. What
+【答案】：D
+【解析】：【详解】考查感叹句。句意:多么棒的一次旅行啊!感叹句的两种基本表达方式为:what+a(n)+ adj+可数名词单数+主语+谓语;how+adj/adv+ a(n)+可数名词单数+主语+谓语,根据“a ride it is!”可知本句属于第一种表达方式,因此此处用What,故D项正确。。
+
+
+【题干】：For our homework this week, we need to write a description of the street _ we live. A. which B. that C. where D. there
+【答案】：C
+【解析】：【详解】考查定语从句。句意:这周的家庭作业是我们需要写一篇文章描述一下我们所居住的街道。分析句子结构可知此处为定语从句,关系词指代先行词the street,并在从句中作地点状语,故C项正确。。
+
+
+【题干】：— Hello, Ben! I have been wondering whether the four of them will show up tonight. — _ For them, it is too good an opportunity to miss. A. So what? B. How come? C. No way. D. Why bother?
+【答案】：C
+【解析】：【详解】考查情景交际。句意:——你好,本!我一直在想他们四个今晚会不会来。——不可能(不来)。对他们来说,这是一个不容错过的好机会。A. So what? 那又怎样? B. How come?怎么会这样?C. No way不可能;D. Why bother?何苦呢?根据“For them, it is too good an opportunity to miss.”可知,对他们来说,这是一个不容错过的好机会,所以他们不可能不来,故C项正确。。
+
+
+【题干】：Professor Johnson is such a _ person that he always tries to finish the research, no matter how hard it is. A. stubborn B. determined C. reliable D. remarkable
+【答案】：B
+【解析】：【详解】考查形容词辨析。句意:约翰逊教授是一个意志如此坚定的人,他总是努力完成这项研究,不管有多困难。A. stubborn固执的;B. determined有决心的、意志坚定的;C. reliable可靠的;D. remarkable非凡的。根据“he always tries to finish the research, no matter how hard it is.”可知,不管有多困难,他总是努力完成这项研究,这说明他是一个意志坚定的人,故B项正确。。
+
+
+【题干】：Nobody wants to_ especially in public. A. make fun of B. be made fun of C. making fun of D. made fun of
+【答案】：B
+【解析】：【详解】考查语态。句意:没有人愿意尤其在公共场合被人取笑。want to后接动词原形,主语Nobody与make fun of之间为被动关系,所以用被动语态。故选B。。
+
+
+【题干】：With a lot of problem _, the newly–elected president is having a hard time. A. settled B. settling C. to settle D. being settled
+【答案】：C
+【解析】：【详解】考查非谓语动词。句意:有许多问题要解决,新当选的总统正面临一段艰难的时光。A. settled表示动作已发生,和主语是被动关系;B. to settle不定式的一般式表将来和主动;C. to be settled表示将来和被动;D. being settled表示进行,被动关系。本题“with+宾语+宾补”结构中,problems尚未解决,故用动词不定式表示未做的动作。故选C。。
+
+
+【题干】：As the New Year comes, I wish you _. A. all the way B. all the year round C. all the same D. all the best
+【答案】：D
+【解析】：【详解】此题解析略。。
+
+
+【题干】：_ to sunlight for too much time will do harm to one's skin. A. Exposed B. Having exposed C. Being exposed D. After being exposed
+【答案】：C
+【解析】：【详解】此题解析略。。
+
+
+【题干】：I need time to _ on what you offered. A. consider B. reflect C. imagine D. suggest
+【答案】：B
+【解析】：【详解】此题解析略。。
+
+
+【题干】：The policeman, who had _ many dangers, lost his life for his career when carrying out his task. A. interviewed B. leaped C. witnessed D. harnessed
+【答案】：C
+【解析】：【详解】考查动词词义辨析。句意:这位警察目睹了许多危险,在执行任务时为自己的事业献出了生命。A. interviewed采访;B. leaped跳跃;C. witnessed目击;D. harnessed利用。根据语境可知,此处指“这位警察目睹了许多危险”。故选C。。
+
+
+【题干】：Look, Jane is occupied _ business matters. A. in B. on C. at D. with
+【答案】：D
+【解析】：【详解】此题解析略。。
+
+
+【题干】：China is generally _ as the first country to grow, produce and drink tea. A. concerned B. realized C. acknowledged D. commented
+【答案】：C
+【解析】：【详解】此题解析略。。
+
+
+【题干】：I shall never forget the day _ the Beijing Olympic Games opened, _ has a great effect on my life. A. when; which B. that; which C. which; that D. when; that
+【答案】：A
+【解析】：【详解】此题解析略。。
+
+
+【题干】：Although there are still _ natural resources in some areas, we should protect them from now on. A. apparent B. abstract C. abundant D. abnormal
+【答案】：C
+【解析】：【详解】此题解析略。。
+
+
+【题干】：With so much work unfinished, he realized that a picnic out this weekend was completely _. A. out of question B. out of the question C. out of order D. out of date
+【答案】：B
+【解析】：【详解】此题解析略。。
+
+
+【题干】：—Sorry,I was caught in the rush hour for fifty minutes. —There needs no _. The meeting has been put off. A. excuse B. promise C. complaint D. apology
+【答案】：D
+【解析】：【详解】此题解析略。。
+
+
+【题干】：There is hardly an environment on earth _ some species of animals or other have not adapted successfully. A. to which B. in which C. for which D. on which
+【答案】：A
+【解析】：【详解】此题解析略。。
+
+
+【题干】：— Are you going to take part in the speech contest? — _. It’s too good an opportunity to miss. A. How come? B. That’s for sure. C. No way. D. Why bother?
+【答案】：B
+【解析】：【详解】考查交际用语。句意:——你要参加演讲比赛吗?——那是肯定的。那是一个不能错过的好机会。A. How come?怎么回事?B. That’s for sure. 那是肯定的;C. No way.没门;D. Why bother?何苦呢?根据语境,说话的一方问要不要参加比赛,由下一句“那是一个不能错过的好机会。”可知,说话者的另一方会参加这个比赛,That’s for sure.符合语境。故选B项。。
+
+
+【题干】：Many a student in the class _ that Jack is the only one of the students who _ the chance to attend a key university. A. thinks; has B. think; have C. think; has D. thinks; have
+【答案】：A
+【解析】：【详解】考查主谓一致。句意:班上很多学生认为Jack是唯一一个有机会上重点大学的学生。根据“many a + 可数名词单数+ 谓语单数”可知,第一空谓语动词用三单现形式;第二空的主语who代指先行词the only one of the students,也是第三人称单数,故谓语动词用三单现形式,故选A项。【点睛】本题第二空考查定语从句中的主谓一致,请对比以下两句: Jack is the only one of the students who has the chance to attend a key university. Jack是唯一一个有机会上重点大学的学生 Jack is one of the students who have the chance to attend a key university. Jack是众多有机会上重点大学的学生中的一个。 当先行词被one of修饰时,关系代词指代前面的复数名词,即是复数意义;当先行词被the only one of修饰时,关系代词是单数意义,因为符合条件的只有一人。。
+
+
+【题干】：—Oh, no! I failed my math test again! — _. Practice makes perfect. A. It’s hard to say. B. It’s up to you. C. You’re not alone. D. I’m afraid not.
+【答案】：C
+【解析】：【详解】考查情景交际用语。句意:——噢,不!我的数学测试又没过!——你不是一个人。熟能生巧。A. It’s hard to say.很难说;B. It’s up to you.由你决定;C. You’re not alone.你不是一个人;D. I’m afraid not.恐怕不是。结合句意可知,此处用“你不是一个人”表对上一个说话人的安慰,故选C项。。
+
+
+【题干】：They brought about _ impossible-navigating a ship carrying human beings to the moon for a landing, and then back. A. what was regarded B. what had been regarded C. what was thought D. what had been thought
+【答案】：D
+【解析】：【详解】考查动词时态语态。句意:他们带来了以前认为不可能的事情——驾驶一艘载人飞船到月球上登陆,然后返回。此处为宾语从句,从句中缺少主语,指代事情应用what引导;且结合语境可知“认为不可能的事情”发生在“brought”之前,即“过去的过去”故应用过去完成时,主语与谓语动词构成被动关系,故排除A、C选项。regard要与as搭配,regard as才表示“认为,当作”,故排除B选项。故选D。。
+
+
+【题干】：Along with enthusiasm for composing music _ his devotion to cultivating young people passionate about music. A. come B. comes C. coming D. to come
+【答案】：B
+【解析】：【详解】考查倒装句和主谓一致。句意:除了对作曲的热情,他还致力于培养对音乐充满热情的年轻人。along with放在句首作为伴随状语,句子应该全部倒装。故此处come与主语his devotion to cultivating young people passionate about music保持一致,且描述客观事实应用一般现在时,故谓语动词应用第三人称单数。故选B。。
+
+
+【题干】：The 1920s ushered in the era of the motor car, thus greatly _ the amount of time it took people to travel to work. A. reduced B. being reduced C. to reduce D. reducing
+【答案】：D
+【解析】：【详解】考查非谓语动词。句意:20世纪20年代迎来了汽车时代,从而大大缩短了人们上下班的时间。分析句子结构可知reduce在句中作非谓语动词,且表自然而然的结果应用现在分词reducing。故选D。。
+
+
+【题干】：The large orchestra was very _ by Arturo Toscanini, who received enthusiastic applause from the audience. This was truly a concert _. A. well conducted;to remember B. well conducting; remembered C. well conducted;remembering D. well conducting; remembering
+【答案】：A
+【解析】：【详解】考查非谓语动词和时态。句意:这个大型管弦乐队由Arturo Toscanini指挥得非常好,他赢得了观众的热烈掌声。这真是一场值得纪念的音乐会。第一空中主语与谓语动词构成被动关系,故排除B、D选项;第二空修饰名词concert且做后置定语,表将来的动作应用不定式。故选A。。
+
+
+【题干】：An overwhelming majority of people _ 91 percent-hold the opposite point of view that peace can only be achieved through dialogue. A. surveyed B. surveying C. survey D. to survey
+【答案】：A
+【解析】：【详解】考查非谓语动词。句意:绝大多数受访者(91%)持相反观点,认为只有通过对话才能实现和平。分析句子结构可知survey在句中作非谓语动词,且与逻辑主语people构成被动关系,故用过去分词。故选A。。
+
+
+【题干】：If any of the symptoms arises, it’s worth _ a change of diet. A. to consider B. of considering C. considering D. being considered
+【答案】：C
+【解析】：【详解】考查非谓语动词。句意:如果出现任何症状,都值得考虑改变饮食。根据短语be worth doing sth.表示“值得做……”,后跟动词-ing形式。故选C。。
+
+
+【题干】：With knowledge-based economy starting to _ and becoming a growing trend, new industries have kept emerging. A. take shape B. take action C. create civilization D. pay attention
+【答案】：A
+【解析】：【详解】考查动词短语辨析。句意:随着知识经济开始初具规模和发展趋势,新兴产业不断涌现。A. take shape成形;B. take action采取行动;C. create civilization创建文明;D. pay attention注意。根据语境,故选A。。
+
+
+【题干】：They lived in a backward part of the country, with no electricity, paved roads or easy _ to safe drinking water. A. lack B. guarantee C. remedy D. access
+【答案】：D
+【解析】：【详解】考查名词词义辨析。句意:他们住在这个国家的一个落后地区,没有电,没有柏油路,也没有容易的安全饮用水接入。A. lack缺乏;B. guarantee保证;C. remedy补救;D. access进入。根据上文with no electricity, paved roads可知,这个地区没有电,没有柏油路,也没有安全的饮用水。短语access to表示“进入,有权使用”,故选D。。
+
+
+【题干】：Every year about 40,000 people attempt to climb Kilimanjaro, the highest mountain in Africa. They _ with them lots of waste. A. keep B. mix C. connect D. bring
+【答案】：D
+【解析】：【详解】考查动词词义辨析。句意:每年大约有4万人试图攀登非洲最高峰乞力马扎罗山。他们带来了大量的垃圾。A. keep保持;B. mix混合;C. connect联系;D. bring带来。根据lEvery year about 40,000 people attempt to climb Kilimanjaro, the highest mountain in Africa. 以及lots of waste可知,登山者带来了很多的垃圾。故选D项。【点睛】动词bring 是指“(从别处朝向说话者或被提到的人)带来、领来、取来、送去”。例如:Bring your friend to the party. 请带你的朋友来参加聚会。。
+
+
+【题干】：After being stopped by the police, the man admitted _ the car. A. stealing B. steal C. to steal D. stolen
+【答案】：A
+【解析】：【详解】考查非谓语动词。句意:被警察拦住后,那人承认偷了车。admit doing sth.承认做过某事(做过了),being stopped by the police可知那人已经偷过车了。故选A项。【点睛】表示admit doing sth. 承认做某事(做过了),如: I admit breaking the window. 我承认打破了窗玻璃。 He admitted having stolen the money. 他承认偷了这笔钱。。
+
+
+【题干】：After the experts _ a whole year on the traffic issue, they finally came to a solution. A. had spent B. were spending C. have spent D. would spend
+【答案】：A
+【解析】：【详解】考查时态。句意:专家们在交通问题上花了整整一年的时间,最后终于找到了解决办法。根据they finally came to a solution可知主句是一般过去时,且spend发生在came之前,因此从句的时态是过去完成时。故选A项。【点睛】本题考查了过去完成时。过去完成时表示在过去某一时刻或动作以前完成了的动作,也可以说过去的时间关于过去的动作。肯定句的结构:主语+had+动词过去分词。其在状语从句中用法以下:在过去不同时间发生的两个动作中,发生在前,用过去完成时;发生在后,用一般过去时。如:when,before,after,as soon as,til/untill导的复合句。 例如:When I woke up, it had already stopped raining. 我醒来时雨已停了。。
+
+
+【题干】：Climate change is an issue _ has aroused worldwide attention. A. what B. which C. as D. where
+【答案】：B
+【解析】：【详解】考查定语从句的关系词。句意:气候变化是一个引起世界关注的问题。分析句子成分可知,先行词是an issue,指物,且关系词在定语从句中作主语,因此要用关系代词which。as引导的定语从句,有“正如”之意。故选B项。。
+
+
+【题干】：In 1963 the UN set up the World Food Programme, one of _ purposes is to relieve worldwide starvation. A. which B. its C. whose D. whom
+【答案】：C
+【解析】：【详解】考查定语从句。句意:1963年,联合国成立了世界粮食计划署,其目的之一就是缓解世界范围内的饥荒。分析句子结构可知,one of _ purposes is to relieve worldwide starvation是非限制性定语从句,先行词是the World Food Programme,关系词在非限制性定语从句中作定语,修饰名词purposes,所以用关系代词whose引导。故选C项。。
+
+
+【题干】：After living in Paris for fifty years he returned to the small town _ he grew up as a child. A. which B. where C. that D. when
+【答案】：B
+【解析】：【详解】考查定语从句。句意:在巴黎住了五十年后,他回到了他从小长大的那个小镇。此处是限定性定语从句,先行词是the small town,关系词从句中作地点状语,应使用关系副词where引导。故选B。。
+
+
+【题干】：The death of the closest relatives, _ almost every one of us has experienced, always makes people feel bitter and unbearable. A. which B. who C. as D. the one
+【答案】：C
+【解析】：【详解】考查非限定性定语从句。句意为:最亲近的亲人的离世,正如几乎每个人都经历过的,总是让人感到痛苦不堪。此处为as引导非限定性定语从句,意思是“正如……”。故选C。。
+
+
+【题干】：It is said that a most popular emoji (expression of emotion on the Internet) is the “face with the rolling eyes”, _ is used in 14 percent of text messages. A. that B. what C. which D. whose
+【答案】：C
+【解析】：【详解】考查非限定性定语从句。句意:据说,网络上最流行的表情符号是“翻白眼的脸”,14%的短信都使用了这个表情。分析句子结构可知,此处为非限定性定语从句,先行词为词组face with the rolling eyes,指物,连接词在从句中充当主语,应使用关系代词which引导。故选C。。
+
+
+【题干】：When my father goes somewhere, he always goes along with my mother, _ he doesn’t like going alone. A. though B. as C. while D. even if
+【答案】：B
+【解析】：【详解】考查连词。句意:我爸爸去一些地方时,总是和我妈妈一起,因为他不喜欢一个人去。A. though尽管;B. as因为;C. while当……时候;D. even if尽管。“他总是和我妈妈一起”和“他不喜欢一个人去”是因果关系,所以用as引导原因状语从句。故选B项。。
+
+
+【题干】：—What a terrible accident! —Yes. It happened _ he four roads meet. A. where B. that C. when D. as
+【答案】：A
+【解析】：【详解】考查状语从句。句意:——多么可怕的事故!——是啊。它发生在四条路的交汇处。由语境可知,此处应用where引导地点状语从句。故选A项。。
+
+
+【题干】：Every time _ they met, they would talk excitedly for several hours about the schoolmates and incidents _ they still remembered in the primary school. A. that;who and which B. when;that C. /;that D. when;which
+【答案】：C
+【解析】：【详解】考查状语从句和定语从句。句意:每次见面,他们都会兴奋地聊上好几个小时关于小学时的同学和事情。every time可直接引导时间状语从句,不需要再加连接词,第二个空为定语从句,当先行词既有人又有物时,关系代词用that,故选C。。
+
+
+【题干】：Many people have heard of the "brain drain". This is _ happens _ people with good skills and a good education move to other country for study or work, often at great expense to their home countries. A. which;when B. what;that C. what;when D. why;when
+【答案】：C
+【解析】：【详解】考查表语从句和时间状语从句。句意:许多人听说过“人才外流”。当拥有良好技能和良好教育的人转移到其他国家学习或工作时,这种情况就会发生,通常会给他们的祖国带来巨大的损失。第一空是引导表语从句,从句缺主语,用what引导,第二空是引导时间状语从句,用when引导。故选C。。
+
+
+【题干】：If individuals are awakened _ they begin a dream phase of a sleep, they are likely to become irritable even though their total amount of sleep has been sufficient. A. as if B. now that C. each time D. first time when
+【答案】：C
+【解析】：【详解】考查时间状语从句。句意:如果人们在一个开始做梦的睡眠阶段被吵醒,他们可能变得急躁,即使他们的睡眠总量是足够的。A. as if 好似;B.now that既然;C.each time每次;D.first time when表示"第一次当……的时候",分析句意可知,本句为each time 引导的时间状语从句。故选C。。
+
+
+【题干】：_ these different forms of greeting and customs might seem strange to you, remember _ you consider normal probably seems just as unusual to others. A. As; what B. As; that C. While; what D. While; that
+【答案】：C
+【解析】：【详解】考查让步状语从句和宾语从句连接词。句意:虽然这些打招呼的方式和习俗对你好像有点陌生,但是记住,你认为很正常的东西对似乎对他人恰好是不寻常的。分析句意可知,第一空应使用让步状语连词,可用while/ as,但是as引导让步状语从句时,必须倒装,故排除选项A和B;分析句子成分可知,第二空引导的是remember的宾语从句,连接词充当从句的宾语,表"考虑的东西",应用连词what;that引导名词性从句时,只起连接作用,不充当句子成分。故选C。【点睛】本题考查引导让步状语从句的连词。选项A为干扰项,极易误选。当as作“虽然”解,引导让步状语从句时,必须将表语、状语或动词原形提到as前面。句子的倒装语序有以下三种形式: (1). 形容词或副词+as+主语+连系动词be或实义动词。例如: Rich as he is, he never spends a cent on clothes.虽然他很富有,但他从不花一分钱在衣服上。 Much as I admire his courage, I don’t think he acted wisely.我虽然佩服他的勇气,但我认为他这样做是不聪明的。 (2). 名词+as+主语+连系动词be (注意句首的名词不带冠词)。例如: Child as he is, he knows a lot.尽管他是个孩子,但懂很多事情。 Boy as he was, he was chosen king.尽管他还是个孩子,但却被立为国王。 (3). 实义动词+as+主语+助动词[如果没有助动词,则要加上一个do(does或did)]。例如: Try as he may, he never succeeds.尽管他很努力,但总是不成功。 Change your mind as you will, you will gain no additional support.即使你改变主意,你也不会得到另外的支持。 显然,该句不符合as的此项用法,故将A排除。。
+
+
+【题干】：He told us that he used to live _ there were many mountains with trees and animals on them. A. when B. what C. in which D. where
+【答案】：D
+【解析】：【详解】考查状语从句。句意:他告诉我们他过去常住在一个群山环抱、树木葱葱、鸟兽成群的地方。根据there were many mountains with trees and animals on them.可知,live是不及物动词,其后接的是地点状语从句,故选D。【点睛】一、where引导的地点状语从句 1.从属连词where表示"在(或到)……的地方"。 Where there is a will, there is a way. 有志者事竟成。 Put it where you found it. 把它放在原来的地方。 2.where 在地点状语从句中,除指地点外,还可指处境等。 He said he was happy where he was. 他说他对自己的处境很满意。 It’s your fault that she is where she is. 她今天落到这个地步都怪你。 3. 有时地点状语从句中的某些词可以省略。 Fill in the blanks with the given phrases. Change the form where necessary. 用所给的短语填空,必要的地方可以改变其形式。 Avoid structure of this kind where possible. 只要可能,就要避免这种结构。。
+
+
+【题干】：He _ that when he went to the bookstore he would get me a copy of the Selected Stories of Lu Xun. A. instructed B. promised C. rewarded D. expected
+【答案】：B
+【解析】：【详解】考查动词词义辨析。句意:他答应我当他去书店时给我买一本《鲁迅故事集》。A. instructed指示;B. promised承诺,答应;C. rewarded奖赏;D. expected期待。结合后文when he went to the bookstore he would get me a copy of the Selected Stories of Lu Xun.“当他去书店时给我买一本《鲁迅故事集》”是他“答应”“我”的事情,故选B。。
+
+
+【题干】：Mr. Li Jiacheng is considered one of the most successful businessmen in the world. And, he regards himself as the _ of the times. A. instructor B. expert C. favorite D. admirer
+【答案】：C
+【解析】：【详解】考查名词词义辨析。句意:李嘉诚先生被认为是世界上最成功的商人之一。他认为自己是时代的宠儿。A. instructor指导者;B. expert专家;C. favorite受喜爱的人;D. admirer爱慕者。根据上文Mr. Li Jiacheng is considered one of the most successful businessmen in the world.可知李嘉诚先生认为自己是时代的宠儿(favorite)。故选C。。
+
+
+【题干】：Societies should try to save every plant and animal species, regardless of the _ in effort, time, and financial well-being . A. worth B. honesty C. strength D. expense
+【答案】：D
+【解析】：【详解】考查名词词义辨析。句意:社会应该努力拯救每一种植物和动物,不管在努力、时间和经济上的成本如何 。A. worth价值,财产;B. honesty诚实;C. strength力量;D. expense代价,花费。结合后文in effort, time, and financial well-being可知是指为拯救每一种植物和动物,社会应该努力拯救每一种植物和动物,不管在努力、时间和经济上的成本如何 (expense)。故选D。【点睛】expense的用法和辨析 一、详细释义: 1.消费,开支; 例句:It's too much of an expense for me to own a car.对我来说,拥有一辆汽车的花费太大。 例句:An annual holiday is a big expense.一年一度的假日是一笔大开销。 2.损失,代价。 例句:This is a cruel joke at my expense.以我为代价的残酷笑话。 例句:He's arranged everything, no expense spared.他不惜代价把一切安排得井井有条。 二、词义辨析: charge, price, fee, fare, cost, expense 这些名词均有“价格,费用”之意。 1.charge指提供服务时索取的费用,也指货物的价格、价钱。 2.price指商品在市场出售的价格,尤指卖方对商品所提出的单价。比喻意义指付出的代价。 3.fee指上学、求医以及找律师等付的费用,还可指会费、借书费等。 4.fare侧重指旅行时所付的车、船费等费用。 5.cost指生产某东西的成本,也泛指商品的价格,可与price换用。 6.expense常指实际支付的费用总数额,有时也指钱的花费。。
+
+
+【题干】：We must _ our thinking and work to the new circumstances A. adopt B. tutor C. adapt D. communicate
+【答案】：C
+【解析】：【详解】考查动词词义辨析。句意:我们必须使我们的思想和工作适应新形势。A. adopt采取;B. tutor辅导;C. adapt使适应;D. communicate交流。此处为短语adapt to…表示“使自己适应于……”。故选C。。
+
+
+【题干】：The happening of failure is unavoidable and _of man’s will. A. aware B. independent C. ahead D. short
+【答案】：B
+【解析】：【详解】考查形容词词义辨析。句意:失败的发生是不可避免的,是不受人的意志支配的。A. aware意识到的;B. independent独立的;C. ahead在前的;D. short短的。结合句意表示“不受……支配的”短语为independent of,故选B。。
+
+
+【题干】：Foreign trade _ at a faster pace during this period than at any time since the Civil War. A. paid B. managed C. owned D. expanded
+【答案】：D
+【解析】：【详解】考查动词词义辨析。句意:在此期间,对外贸易的增长速度比内战以来的任何时候都要快。A. paid支付;B. managed勉励完成;C. owned拥有;D. expanded提高;增加。由语境可知,此处指的是对外贸易的增长速度比内战以来的任何时候都要快,expanded符合句意。故选D项。。
+
+
+【题干】：He is a spoiled child and it is high time that he learned to behave _. A. properly B. immediately C. conveniently D. dishonestly
+【答案】：A
+【解析】：【详解】考查副词词义辨析。句意:他是个被宠坏的孩子,现在是他学会举止得体的时候了。A. properly合适地;B. immediately立刻地;C. conveniently便利地;D. dishonestly不诚实地。由“他是个被宠坏的孩子”语境可知,是时候让他学会举止得体,behave properly意为“举止得体”。故选A项。。
+
+
+【题干】：Earlier reports _ that a meeting would take place on Sunday. A. promoted B. taught C. served D. suggested
+【答案】：D
+【解析】：【详解】考查动词词义辨析。句意:早先的报道暗示会议将在星期天举行。A. promoted促进;B. taught教育;C. served服务;D. suggested暗示、建议、表明。分析语境可知,此处指的是早先的报道暗示会议会在星期天举行,suggested符合句意。故选D项。。
+
+
+【题干】：—Would you do me a favor and give me a ride? —_. A. Yes, that’s right B. No trouble C. Never mind D. With pleasure
+【答案】：D
+【解析】：【详解】考查情景交际。句意:——你能帮我一个忙,让我搭个便车吗?——我很乐意。A. Yes, that’s right是的,这是正确的;B. No trouble没有困难;C. Never mind不要紧,没关系;D. With pleasure很乐意。结合问句及选项可知,D项符合语境。故选D。。
+
+
+【题干】：—I’d like to invite you to dinner this Saturday, Mr. Smith. —_. A. Oh, no. Let’s not B. I’d rather stay at home C. I’m very sorry, but I have other plans D. Oh, no. That’ll be too much trouble
+【答案】：C
+【解析】：【详解】考查情景交际。句意:——史密斯先生,这个星期六我想请你吃饭。——很抱歉,我另有安排。A. Oh, no. Let’s not哦,不。让我们不要;B. I’d rather stay at home我宁愿呆在家里;C. I’m very sorry, but I have other plans很抱歉,我另有安排;D. Oh, no. That’ll be too much trouble哦,不。那太麻烦了。结合句意及选项可知,C项符合语境。故选C。。
+
+
+【题干】：Before the ship sank, some of the passengers _ leave in time for the lifeboats. A. could B. might C. were able to D. should
+【答案】：C
+【解析】：【详解】考查情态动词。句意:在船沉之前,一些乘客及时离开上了救生艇。分析句子可知, 表示许多乘客成功的离开上了救生艇。was/were able to表示过去成功做成了某事。could也表示过去“能够”,但成功与否未可知;might表示“可能”;should表示“应该”,根据句意,故选C。。
+
+
+【题干】：The man next door, _ name I don’t know, is always making a lot of noise by singing pop songs at night. A. who B. whose C. of which D. whom
+【答案】：B
+【解析】：【详解】考查定语从句。句意:我不知道名字的隔壁男士,在晚上唱流行歌曲制造噪音。分析句子可知,_ name I don’t know是非限制性定语从句,引导词定语修饰限定name, 用关系代词whose,故选B。。
+
+
+【题干】：They will never forget the days _ they spent together studying abroad. A. in which B. that C. on which D. during which
+【答案】：B
+【解析】：【详解】考查定语从句。句意:他们永远忘不了他们一起在国外学习的日子。分析句子可知,_ they spent together studying abroad是定语从句,修饰先行词the days;先行词在从句中做spent的宾语,用关系代词that\which。故选B。【点睛】定语从句关系词的选择: 1.先行词在从句中做主语、宾语、表语、定语,就用关系代词(who,whom,whose,that, which和as);先行词在从句中做状语就用关系副词(when,where和 why)。 2. who指人,做主语、宾语和表语;whom指人,在从句中作宾语;whose表“谁的”,在从句中作定语;that多指物,有时也指人,在从句中作主语或宾语,有时作表语;which指物,在从句中作主语或宾语;as指人或事物,在从句中作宾语,有时作主语或表语,常用于“the same(adj.)+名词+as或such(adj.)+名词+as”等结构中及先行词是代词such或 same的情况下。 3. when指时间,在定语从句中做时间状语;where指地点,在定语从句中做地点状语;why指原因,在定语从句中做原因状语。。
+
+
+【题干】：Who _ has brains will make such a mistake as this? A. it B. ever C. that D. /
+【答案】：C
+【解析】：【详解】考查定语从句。句意:哪个有脑子的人会犯这样的错误?分析句子可知,_ has brains是定语从句,Who 是先行词;在定语从句中,当主句是which\who开头的疑问句,或者先行词是who时,定语从句的关系代词只能用that。故选C。【点睛】定语从句只能用that而不能用which的六种情况: 1、如果先行词是all, much, anything, something, nothing, everything, little, none等不定代词,关系代词一般只用that,不用which。如: All that can be done has been done.能做的都已经做了 。 He will tell you everything that he heard about it.他将告诉你他所听到的关于这件事的一切。 2、当先行词被all, every, no, some, any, little, much所修饰时,只能用that,如: There is little work that is fit for you.没什么工作运合你做。 I have eaten all the food that is left.我把剩下的所有食物都吃了 。 3、先行词是序数词或最高级形容词时,或者先行词被序数词(包括last,next)、最高级形容词及the only, the very等修饰时。如: This is the first film that I have seen since I came here.这是我到这里后所看的第一场电影。 This is the best that has been used against pollution.这是用来防止污染的最好办法。 This is the very book that I am looking for.这正是我一直在寻找的那本书。 4、先行词包括人和物时,关系代词应该用that。如: They often talk about the people and the things that they are interested in.他们常常谈论那些他们感兴趣的人和事。 5、当主句是以who或which升头的疑问句时,为了避免重复,多用that导。如: Which is the house that caught fire last night?昨晚失火的是哪座房子? Who is the lady that is playing the piano?在弹钢琴的那位小姐是谁? 6、当先行词在定语从句中作表语时,只能用that。如: This is a book that I have been looking for since last week.这就是那本自上周以来我一直在寻找的书。。
+
+
+【题干】：I should very much like to have gone to Susan's birthday party, but_. A. I have to give a lecture B. I had to give a lecture C. I have had to give a lecture D. I had had to give a lecture
+【答案】：B
+【解析】：【详解】考查动词时态。句意:我本来很想去参加Susan的生日聚会,但我不得不去做报告。but连接两个并列分句,but前面是对过去的虚拟,but后面是过去的事实,应用一般过去时。故选B。。
+
+
+【题干】：-Having been on a diet for a week, I have lost five pounds. It's worth a try. -_ I definitely need to get into shape for my new clothes. A. You have my word B. You've sold it to me C. You can never tell D. You really have me there
+【答案】：B
+【解析】：【详解】考查交际用语。句意:——节食一个星期后,我瘦了五磅。值得一试。——我完全相信你,我肯定需要塑身去穿我的新衣服。A. You have my word一言为定,我保证;B. You've sold it to me我完全相信你;C. You can never tell.谁也说不准;D. You really have me there.你难住我了。结合后文I definitely need to get into shape for my new clothes.可知回答的人完全相信上文的人说的话,故选B。。
+
+
+【题干】：It is lucky we booked a room, or we_nowhere to stay now. A. had B. had had C. would have D. would have had
+【答案】：C
+【解析】：【详解】句意:我们很幸运地订到了房间,否则的话,我们现在就会无处可去了。or引导含蓄虚拟条件句,or后面是主句,相当于if we hadn’t booked a room, we would have nowhere to stay now.,根据“now”可知,是对现在进行虚拟,因此用would+动词原形,故选C。 考点:考查虚拟语气 【名师点睛】本题考查含蓄虚拟语气和错综时间虚拟语气。比较常见的是if引导的虚拟条件句,由otherwise, or, without等引出的相反的情况被称为“含蓄虚拟语气”。or引出相反的情况,对过去虚拟,主句用would+have done,但是主句中有“now”,表示与现在相反,因此用would+动词原形。。
+
+
+【题干】：In art criticism, you must assume the artist has a secret message _ within the work. A. to hide B. hidden C. hiding D. being hidden
+【答案】：B
+【解析】：【详解】考查非谓语动词。句意:在艺术批评中,你必须假定艺术家在作品中隐藏着一个秘密信息。句中有谓语动词has,所以这里用非谓语动词;message与hide是被动关系,故用过去分词表示被动意义,故选B项。。
+
+
+【题干】：Her novels have been many times for television and film. A. qualified B. adapted C. substituted D. advertised
+【答案】：B
+【解析】：【详解】考查动词辨析。句意:她的小说已多次被改编成电视节目和电影。adapt "改编"符合语境。qualify"使具备资格";substitute"替换";advertise"为……做广告",选B。。
+
+
+【题干】：In history, the Romanies were divided into different groups and developed their own languages, _ there are now around sixty varieties. A. by which B. of which C. by whom D. of whom
+【答案】：B
+【解析】：【详解】考查定语从句。句意:在历史上,吉普赛人会分成不同的小组来发展他们的语言,所以现在有大约六十种语言。Of which指的是,在这些语言中,故选B项。 考点 : 考查定语从句。
+
+
+【题干】：The kitchen curtains are easy to get dirty, and they require _at least once a week. A. wash B. washed C. washing D. to wash
+【答案】：C
+【解析】：【详解】考查现在分词。句意:厨房的窗帘很容易脏,至少一个星期要洗一次。Require doing="require" to be done表示被动,故选C项。 考点:考查现在分词。
+
+
+【题干】：The other day, my brother drove his car down the street at _ I thought was a dangerous speed. A. as B. which C. what D. that
+【答案】：C
+【解析】：【详解】at后接宾语从句。当宾语从句中缺少主语、宾语或表语时,要用what引导,此句中what作宾语从句的主语。。
+
+
+【题干】：In the 1950s in the USA, most families had just one phone at home, and wireless phones _yet. A. haven’t invented B. haven’t been invented C. hadn’t invented D. hadn’t been invented
+【答案】：D
+【解析】：【详解】考查时态。句意:20世纪50年代的美国,大多数家庭只有一部电话,无线电话直到那时还没有被发明出来。本题考查动词的时态、语态。首先无线电话与发明是被动关系,所以排除A和C,另外通过时间“直到那时”,相当于by+过去的时间,应当选择过去完成时,答案选D。。
+
+
+【题干】：The number of smokers, _ is reported, has dropped by 17 percent in just one year. A. it B. which C. what D. as
+【答案】：D
+【解析】：【详解】考查定语从句。句意:据报道,吸烟者人数仅(过去)一年就减少了17%。as引导的非限制性定语从句位置灵活,可以置于主句的句首、句中或句末,指代的是整个一句话。故选D项。考生容易误选B项which,把逗号前面的the number of smokers看成先行词,后面非限制性定语从句用which引导。殊不知,这里关系代词指代的是“The number of smokers has dropped by 17 percent in just one year.”整个一句话。另外,as和which在定语从句都可以指代一句话,但前者有“正如……”的意思,后者则没有。还可以抓住as is reported这一常用结构,类似的还有as is known/expected/planned/mentioned/said等。故选D项。【考点定位】定语从句。
+
+
+【题干】：In recent years an English word "infosphere" has appeared, _the sense of "information" and " atmosphere". A. combine B. combined C. combining D. being combined
+【答案】：C
+【解析】：【详解】考查非谓语动词。非谓语动词主要有动词不定式、现在分词和过去分词形式。其中现在分词表示主动的关系,而过去分词通常表示被动的关系。根据该句意思:最近几年,一个叫做infosphere的英语单词出现了,结合了“信息”和“气氛”这两个单词。这里的结合与前面新出现的单词的关系是主动的,所以故选C 考点:考查非谓语动词 【名师点睛】非谓语动词的考点可以说占了高考的很大比重。但是他们的使用方法也很好判别,一般现在分词表示主动的关系,而过去分词表示被动的关系,动词不定式的用法很多,通常是跟在一个动词后面形成的固定结构,只要分辨出句子中的关系就能够成功解题。。
+
+
+【题干】：—Will you go to John’s party this Friday? —Of course not, _. A. if invited B. even if invited C. until invited D. when invited
+【答案】：B
+【解析】：【详解】考查让步状语从句。句意:——这周五你会去参加约翰的聚会吗?——当然不,即使收到邀请。根据句意可知,第二句中用even if引导让步状语从句,even if后面省去了I am。当从句主语与主句主语一致,且从句谓语包括有系动词be时,可省略从句的主语和系动词be。故选B项。。
+
+
+【题干】：Eating too much fat can _ heart disease I and cause high blood pressure. A. attend to B. devote to C. distribute to D. contribute to
+【答案】：D
+【解析】：【详解】句意:食用含太多脂肪的食物会引起心脏病,导致高血压。contribute to“导致;”attend to “照料”,devote to“专注于”,distribute to“分发”,选D。。
+
+
+【题干】：He urged the participants of the meeting to minor differences for the sake of achieving peace. A. set aside B. set forth C. set about D. set off
+【答案】：A
+【解析】：【详解】考查动词短语辨析。句意:他敦促与会者把小分歧抛于脑后,以求实现和平。set aside “把……放到一边,暂时不考虑”,符合语境。set forth“陈述,阐明”;set about“开始做”;set off“激发,使爆炸”。故选A.。
+
+
+【题干】：The manager’s ability to use music to create a relaxing atmosphere in the supermarket is always doubted for she shows little of good music. A. acquisition B. approval C. assumption D. appreciation
+【答案】：D
+【解析】：【详解】考查名词辨析。句意:经理利用音乐在超市营造轻松氛围的能力总是遭到怀疑,因为她对好的音乐鲜有鉴赏力。appreciation "欣赏,鉴赏力",符合语境。acquisition "获得,得到";approval "同意,批准";assumption"假设"。故选D.。
+
+
+【题干】：Reported novel coronavirus cases have ranged from mild _ to severe illnesses or even deaths. A. sympathies B. symptoms C. similarities D. samples
+【答案】：B
+【解析】：【详解】考查名词词义辨析。句意:报道的新型冠状病毒病例从轻微症状到严重疾病甚至死亡不等。A. sympathies同情;B. symptoms症状;C. similarities相似性;D. samples样本。分析句意可知,此处表示的意思是“新型冠状病毒的轻微症状”。故选B。。
+
+
+【题干】：We use the iTunes Music Store to _ the shows that we want to watch. A. subscribe to B. submit to C. cater to D. correspond to
+【答案】：A
+【解析】：【详解】考查动词词组词义辨析。句意:我们使用iTunes音乐商店订阅我们想看的节目。A. subscribe to订阅;B. submit to递交;C. cater to迎合;D. correspond to与……相一致。分析句意可知,此处表示“订阅节目”。故选A。。
+
+
+【题干】：At present, acupuncture has become popular round the world, _ other traditional Chinese medicines. A. so are B. as are C. so have D. as have
+【答案】：D
+【解析】：【详解】考查倒装和状语从句。句意:和它传统中药一样,如今,针灸已经在世界各地流行起来。当so/as表示“也,相同,那样”时,通常表示对前一句的赞同,一致的内容,要求使用部分倒装,此处的as表示“像……一样”;引导方式状语从句。又因前半句使用的是现在完成时态,故此处也应用现在完成时。故选D。。
+
+
+【题干】：The sales and marketing staff are now discussing _their sales will be like for the coming months. A. which B. what C. how D. when
+【答案】：B
+【解析】：【详解】考查宾语从句。句意:销售和营销人员现在正在讨论他们未来几个月的销售情况。分析句子可知,此句是一个宾语从句,且宾语从句中like缺少宾语,故应用what来引导。结合选项,故选B。。
+
+
+【题干】：“Spit-take” refers to an act _ someone spits liquid out of his or her mouth when he or she hears something funny or surprising. A. that B. which C. where D. why
+【答案】：C
+【解析】：【详解】考查定语从句。句意:“笑喷”指的是当某人听到有趣或令人惊讶的事情时,从他或她的嘴里吐出液体的行为。设空处引导定语从句修饰act,引导词在从句中作地点状语,因此使用where引导。故选C。【点睛】定语从句中的关系词选择,可考虑以下几点: 1、看清楚先行词的意义,就是理清先行词是指人、指物、时间、地点、原因。指物时不能用who或whom,指人时通常不用which等等。 2、看清楚关系词的句法功能,就是理清关系词是担任什么句子成分,是作主语还是宾语、是作定语还是状语等等。作定语通常用whose,有时也用which。作状语要用when, where, why。 3、看清楚定语从句的种类,就是理清是限制性定语从句还是非限制性定语从句。that、why通常不引导非限制性定语从句。 4、看清楚文体,就是理清是正式文体,还是非正式文体。是书面语体还是口语体。。
+
+
+【题干】：He admits that recently he has become_ to playing online games. A. addicted B. addictive C. addicts D. addict
+【答案】：A
+【解析】：【详解】考查形容词词义辨析。句意:他承认最近他对玩网络游戏上瘾了。A. addicted形容词,沉溺于某种(尤其是不良的)嗜好的;B. addictive形容词,使人上瘾的,主语为物;C. addicts名词,对……入迷的人;D. addict动词,使沉迷,使上瘾。此处主语为he,故排除B、D选项;且根据上文become为系动词,后跟形容词addicted作表语,短语be addicted to表示“对……上瘾,沉溺于”。故选A。。
+
+
+【题干】：The price has been _ from $10 to $8. A. increased B. increasing C. reduced D. reducing
+【答案】：C
+【解析】：【详解】考查动词辨析和动词时态语态。句意:价格已从10美元降至8美元。根据后文from $10 to $8可知价格降低了,故排除A、B选项的increase“增加”;且此处根据上文The price has been可知为现在完成时的被动语态,故排除D选项。故选C。。
+
+
+【题干】：The plane crashed, killing all 200 people_. A. aboard B. abroad C. board D. broad
+【答案】：A
+【解析】：【详解】考查词义辨析。句意:飞机坠毁了,机上200人全部遇难。A. aboard副词,在(飞机或船)上;B. abroad形容词,海外的;C. board动词,上(飞机、船等);D. broad形容词,宽的。结合上文The plane crashed可知是指“在飞机上”的200人全部遇难。故选A。。
+
+
+【题干】：Mozart _ his last opera shortly before his death. A. conducted B. composed C. complex D. completed
+【答案】：B
+【解析】：【详解】考查动词词义辨析。句意:莫扎特在去世前不久创作了他的最后一部歌剧。A. conducted动词,组织,实施;B. composed动词,创作;C. complex形容词,复杂的;D. completed动词,完成,填写。结合后文his last opera可知是“创作了他的最后一部歌剧”。故选B。。
+
+
+【题干】：He is a breast cancer_, who has devoted all his time and energy to studying it. A. specialist B. physician C. physicist D. surgeon
+【答案】：A
+【解析】：【详解】考查名词词义辨析。句意:他是一名乳腺癌专家,他投入了所有的时间和精力来研究乳腺癌。A. specialist专家;专科医生;B. physician内科医生;C. physicist物理学家;D. surgeon外科医生。根据空前定语“breast cancer(乳腺癌)”可知,他是一位这方面的专家。故选A项。。
+
+
+【题干】：He dyed his beard to avoid_ . A. to be recognized B. being recognized C. recognition D. recognize
+【答案】：B
+【解析】：【详解】考查非谓语动物。句意:他把胡子染了,以免被认出来。分析可知,avoid doing sth, 避免做某事,所选动词与主语之间为被动关系,应用动名词的被动结构,即:avoid being done。故选B项。。
+
+
+【题干】：Please choose the WRONG sentences _. A. It is so fine a day that many citizens of Nanchong go outing for relaxation beside the Jialing River. B. It is such a fine day that many citizens of Nanchong go outing for relaxation beside the Jialing River. C. It is such fine weather that many citizens of Nanchong go outing for relaxation beside the Jialing River. D. It is so fine a weather that many citizens of Nanchong go outing for relaxation beside the Jialing River.
+【答案】：D
+【解析】：【详解】考查so/such的用法。句意:请选择错误的句子。ABCD四项的意思皆为:今天天气很好,以致于南充的许多市民都到嘉陵江边去郊游放松一下。因为so只能修饰单数可数名词,这个时候可以与such 互换,如so +形容词+ a/an +单数可数名词=such + a/an +形容词+单数可数名词;如果修饰复数可数名词,或不可数名词,就要用such,如such +形容词+复数可数名词/不可数名词。weather(天气)是不可数名词,所以应用such fine weather,而so fine a weather是错误的。故选D项。【点睛】so和such的区别: 1、词性不同:(1)so是副词,因此常用来修饰形容词或副词;(2)such是形容词,常用来修饰名词。 2、位置不同。在单数名词前,so和such的位置不同,但两个结构表达的意思是一样的。 so +形容词+ a/an +单数可数名词(+ that从句) 如此……以致于/以便于 such + a/an +形容词+单数可数名词(+ that从句) 如此……以致于/以便于 3、so后即使有形容词,也不能修饰复数名词或不数名词,而such则可以。 so+adj.(adv.)+that从句 如此……以致于/以便于 such(+adj.)+复数可数名词+that从句 如此……以致于/以便于 如在本题中,day(天)是可数名词,所以可用so fine a day或such a fine day;weather(天气)是不可数名词,所以应用such fine weather。故选D项。。
+
+
+【题干】：— David, you look sick. What’s wrong with you? — I have a bad headache and I _ to see the doctor right now. A. went B. will go C. am going to D. go
+【答案】：B
+【解析】：【详解】考查时态。句意:——大卫,你看起来不舒服。你怎么了?——我头痛得厉害,立刻就去看医生。分析语境“David头痛要立马去看医生”可知,go to see the doctor这个动作还未发生要用一般将来时;因为go to see the doctor这个动作在此语境中是客观上将要发生的事情且未经事先计划,所以用will do,be going to do用于主观判断且经过计划的事情,不合语境。故选B项。【点睛】will和 be going to do表将来的用法: 1. 在表示将来发生的事情时。will则多用于客观的情况,即客观上将要发生的事情;be going to do 用于主观判断,及说话人主观上计划或安排将要去做的事情。 2. 可表示说话人按照他的意图将要发生或进行的动作时。will表示没有经过事先计划或考虑,而是在说话的当时临时想到的意图或临时作出的决定;be going to do表示经过事先考虑好的意图。如在本题中,go to see the doctor这个动作是没有经过事先计划或考虑,临时想到的意图,客观上将要发生的动作,所以用will do形式。故选B项。。
+
+
+【题干】：Qingdao is an _ city _ the eastern coast of China. A. attract; locating on B. attracting; lying in C. attractive; located on D. attracted; lay in
+【答案】：C
+【解析】：【详解】考查形容词和过去分词作定语。句意:青岛是个位于中国东海岸的吸引人的城市。attractive吸引人的;locate on……坐落于;lie in位于、躺在、在于。分析句子可知,第一空是形容词作定语,所以用attractive;在海岸上,用介词on,city和locate on是逻辑上的动宾关系,所以用过去分词做city的后置定语,所以是located on。故选C项。。
+
+
+【题干】：What _ fun it is to have a good chance to get so close to _ nature! A. 不填; the B. a; the C. 不填; 不填 D. a; 不填
+【答案】：C
+【解析】：【详解】考查冠词。句意:有一个很好的机会接近大自然,多有趣啊!分析句子可知,fun是不可数名词,第一空不填;nature是抽象名词,所以第二空不填。故选C项。。
+
+
+【题干】：A _ identification card is required when you purchase foreign money from Bank of China. A. beneficial B. perfect C. valid D. flexible
+【答案】：C
+【解析】：【详解】考查形容词词义辨析。句意:从中国银行购买外币时,需要一张有效的身份证证件。A. beneficial受益的;B. perfect完美的;C. valid有效的;D. flexible灵活的。分析语境可知,购买外币时,有效的身份证是需要的。故选C项。。
+
+
+【题干】：I am always delighted when receiving your invitation. _ the party on July 11th after the national college entrance examination, I shall be pleased to attend. A. On account of B. In respond to C. In view of D. With regard to
+【答案】：D
+【解析】：【详解】考查介词短语辨析。句意:收到你的邀请我总是很高兴。至于高考后的7月11号的聚会,我很乐意参加。A. On account of由于;B. In respond to对……的回应;C. In view of考虑到;D. With regard to关于、至于。分析语境可知,此处讲的是关于高考后聚会的事情,所以用With regard to。故选D项。。
+
+
+【题干】：— How was your evening? — We went to a Pizza Hut and had _. We really enjoyed ourselves. A. a white elephant B. a square meal C. a sacred cow D. the salt of the earth
+【答案】：B
+【解析】：【详解】考查情景交际及习惯表达。句意:——你晚上过得怎么样?——我们去了必胜客,吃了一顿美餐。我们真的玩得很开心。A. a white elephant沉重的负担;B. a square meal美餐;C. a sacred cow神圣不可侵犯的思想、机构、制度;D. the salt of the earth非常正派(诚实)的人。分析语境可知,他们去了必胜客(吃东西),又很开心,说明吃了一顿美餐。故选B项。。
+
+
+【题干】：Reporters very often tend to ask such hot questions _official news announcers would most likely avoid answering. A. that B. so that C. as D. which
+【答案】：C
+【解析】：【详解】考查定语从句。句意:记者们往往会问一些如此热点而官方新闻播音员很可能会回避回答的问题。分析可知,“_official news announcers would most likely avoid answering”应是之前名词questions的定语从句,先行词在从句中作动词answering的宾语,且先行词有such修饰,应用关系代词as引导从句。故选C项。【点睛】as引导定语从句时,有如下结构:the same…as,such…as,as…as,so many (much, few, little)…as,这些短语是固定结构,译作“和……一样”。 比如本题就是考查as引导定语从句的用法: Reporters very often tend to ask such hot questions _official news announcers would most likely avoid answering.分析句子结构可知,_official news announcers would most likely avoid answering应是定语从句,先行词为hot questions,在从句中作动词answering的宾语,且先行词之前有such,应属于such…as句式。故答案为C项as。。
+
+
+【题干】：If God _everything in the world, the strange creatures in fossils _so many years before. A. had created; shouldn’t exist B. had created; couldn’t have existed C. should create; wouldn’t exist D. created; wouldn’t have existed
+【答案】：B
+【解析】：【详解】考查虚拟语气。句意:如果上帝创造了世界上的一切,那么化石上的奇怪生物在这么多年前就不可能存在了。结合句意可知,本题考查与过去事实相反的虚拟语气结构:if+主语+had done…, 主语+could/would/should/might (not) have done…。故选B项。。
+
+
+【题干】：Drugs that dissolve blood lumps can help people _heart attacks. A. survive B. recover C. oppose D. limit
+【答案】：A
+【解析】：【详解】考查动词词义辨析。句意:能溶解血块的药物可以帮助人们战胜心脏病。A. survive存活;挺过;B. recover痊愈; 恢复健康;C. oppose反对;D. limit限制。根据后文宾语“heart attacks(心脏病发作)”可知,所选动词应与之搭配使用,表达“幸存”或“康复”含义,选项B. recover虽有“痊愈”含义,但需与介词from搭配,构成“recover from”;选项A. survive(存活;幸存)可作及物动词,之后直接接宾语。故选A项。。
+
+
+【题干】：They only publish novels which _the mass-market. A. back up B. carry out C. cater to D. quote as
+【答案】：C
+【解析】：【详解】考查动词短语辨析。句意:他们只出版迎合大众市场的小说。A. back up支持;B. carry out实行;C. cater to迎合;为……服务;D. quote as报价为。结合句意可知,“which_the mass-market”的应是novels的定语从句,小说需要满足(cater to)大众需求。故选C项。。
+
+
+【题干】：Walk down the main street, and the post office is on your right. You won’t _it. A. omit B. ignore C. miss D. deny
+【答案】：C
+【解析】：【详解】考查动词词义辨析。句意:沿着大街走,邮局就在你的右边。你不会错过的。A. omit删节,省略,遗漏;B. ignore忽略,不理睬;C. miss错过,想念;D. deny否认。结合句意可知,前文在指路,“you won’t miss it(你不会错过的)”通常用作指路结束语。故选C项。。
+
+
+【题干】：The transportation system has been _in the years since Rio de Janeiro was no longer the capital of Brazil in 1960. A. circulated B. involved C. neglected D. concerned
+【答案】：C
+【解析】：【详解】考查动词词义辨析。句意:自从1960年里约热内卢不再是巴西的首都以来,这个城市的交通系统就被忽视了。A. circulated散发,流传;B. involved需要,涉及,使参与;C. neglected忽视;D. concerned关注。根据空后since Rio de Janeiro was no longer the capital of Brazil in 1960.可知,里约热内卢不再是巴西的首都后,这里的交通系统被忽视了。故选C项。。
+
+
+【题干】：The real art of conversation is not only to say the right thing at the right place but to leave _ the wrong thing at the _ moment. A. unsay…tempted B. unsay…tempting C. unsaid...tempted D. unsaid...tempting
+【答案】：D
+【解析】：【详解】 考查非谓语动词。句意:谈话的真正的艺术不在于说适合时宜的话,更在于在关键时刻将不该说出的话藏在心里。分析句子可知,the wrong thing是被说的,所以unsaid过去分词作宾补,“令人兴致高涨的“时刻应该用现在分词tempting作形容词 。故选D项。 【点睛】 以后缀-ed结尾的形容词(如ashamed, delighted, excited, frightened, interested, moved, pleased, surprised, worried等)通常用于说明人,不用于说明事物,即使它们所修饰的名词是事物,那它们指的也是与该事物相关的人;以后缀-ing 结尾的形容词(如delighting, exciting, frightening, interesting, moving, surprising, worrying 等)主要用于说明事物,表示事物的性质或特征,若用它们说明人,则表示此人具有此性质或特征。本题中第二个空处用来形容“moment”这个事物,所以使用tempting修饰。。
+
+
+【题干】：Studying is the action of _ to acquire knowledge, either by directly observing phenomena of interest, or by reading the writings of others about these phenomena. A. proceeding B. attempting C. tending D. managing
+【答案】：B
+【解析】：【详解】考查动词词义辨析。句意:学习是尝试习得知识的行为,既可以通过直接观察有趣的现象学习,也可以通过阅读他人关于这些现象所写的东西学习。A.proceeding前进; B.attempting尝试;C.tending倾向于;D.managing设法。分析句子可知,学习是一种尝试获取知识的行为,proceeding to do 开始着手做某事;attempting to do尝试做某事 ; tending to do 倾向于做某事;managing to do 设法做成某事。故选B项。【点睛】Manage to do 和 try to do 的区别 1.try to do sth表示“试图做某事”,可是不知道此事能否做成。 2. manage to do sth表示“(设法)做成某事”,它含有“成功;办成”的意思。 本题中学习是一种尝试习得知识的行为,并不一定取得成功,故不能选D,只能选B attempting to do尝试做某事。。
+
+
+【题干】：Among all pastimes, gathering around and listening to mother or father read a good story can almost bring a family _ together. A. closer B. closest C. the closer D. close
+【答案】：B
+【解析】：【详解】考查形容词辨析。句意:在所有的娱乐活动中,聚在一起听父母讲一个好故事几乎可以把一个家庭最紧密地联系在一起。分析句子可知,前半句“在所有的消遣活动中”用了among,说明是三者以上比较,要用最高级。故选B项。。
+
+
+【题干】：The autobiography(自传) of the happiest man would not be a record of sensational or exciting experiences, but _ composed of simple and plain incidents or routines. A. it is B. which is C. one that D. one
+【答案】：D
+【解析】：【详解】考查代词。句意:最开心的人的自传不会是对轰动或者刺激经历的记录,而是对简单平凡事件或者日常生活的记录。分析句子可知,but后面应该是和前半句a record of sensational or exciting experiences相对应的东西,用one 代指,A缺少代词,B选项缺少先行词,C选项应该为被动语态。故选D项。。
+
+
+【题干】：General Eisenhower once told his soldiers that what _ not necessarily the size of the dog in the fight-it's the size of the fight in the dog. A. is counted B. counts is C. is counted is D. to count is
+【答案】：C
+【解析】：【详解】考查时态和句子成分。句意:Eisenhower将军曾经告诉他的士兵们,决定这仗输赢的不一定是打仗的狗的块头,而是这一仗在它心中的份量。分析句子可知,狗的块头不重要,not necessarily 已经有否定,横线处应该填“重要的/起作用的是...”,count意为“重要”,并和what为被动关系。what is counted 为主语从句。故选C项。。
+
+
+【题干】：_ to a colorful campus culture, students should draw a line between what is their major concern and what is of _ importance. A. Exposing…the least B. Having exposed...least C. Having been exposed…the less D. Exposed...less
+【答案】：D
+【解析】：【详解】考查非谓语动词和形容词。句意:当学生们接触到丰富多彩的校园文化时,他们应该在他们主要的关注点和不那么重要的事之间画一条界限。分析句子可知,后半句已经有动词draw,所以第一个空应该用非谓语,expose和students是被动关系,所以填exposed,根据句意,学生们需要分清主次,横线处应该和major意思相反,意为“不那么重要的事”,所以填less importance。故选D项。。
+
+
+【题干】：The development of pills often owe _ to science-we started with a drug that we hoped would be effective in heart disease and we ended up with a medicine that was highly effective against nerve disorder. A. much chance B. much chance as C. much to chance as D. as much to chance as
+【答案】：D
+【解析】：【详解】考查比较级。句意:药物的开发往往既是偶然的,也是科学的结果——我们从一种我们希望对心脏病有效的药物开始,最终我们发现了一种对神经紊乱非常有效的药物。分析破折号后面的句子可知,很多情况下,我们研发一种药物其实经常是偶然的,所以应该填as much as “和...一样多”,owe...to.... “归因于”。故选D项。。
+
+
+【题干】：Chinese medical teams have made tremendous to contain the spread of Covid-19. A. appointments B. headlines C. sacrifices D. compromises
+【答案】：C
+【解析】：【详解】考查名词词义辨析。句意:中国医疗队为遏制“新冠肺炎”疫情的蔓延做出了巨大牺牲。A. appointments约定;B. headlines头条;C. sacrifices牺牲;D. compromises妥协。根据句意及常识可知,此处表示中国医疗队做出了巨大牺牲,应用sacrifices。故选C。。
+
+
+【题干】：—Have you accepted the job, Aaron? —Yes. But my _ reaction was to decline the offer. A. fierce B. initial C. rigid D. allergic
+【答案】：B
+【解析】：【详解】考查形容词词义辨析。句意:——你接受这份工作了吗,Aaron?——是的。但我的最初的反应是拒绝这份工作。A. fierce凶猛的;B. initial最初的;C. rigid严格的;D. allergic过敏的。根据空后was to decline the offer可知,最初的反应是拒绝这份工作。故选B。。
+
+
+【题干】：I will try my best to get lo the station ahead of time _ I have to walk all the way there. A. so that B. as though C. even if D. in case
+【答案】：C
+【解析】：【详解】考查连接词辨析。句意:我将尽我最大的努力提前到达车站,即使我不得不一路走到那里。A. so that以便,所以;B. as though好像,仿佛;C. even if即使,虽然;D. in case万一,假使。根据句意可知,前后句意存在让步关系,此处为让步状语从句,表示“即使”应用even if。故选C。。
+
+
+【题干】：If you_here half an hour ago, you would have known what we were talking about. A. arrived B. had arrived C. should arrive D. would arrive
+【答案】：B
+【解析】：【详解】考查虚拟语气。句意:如果你半小时前到达这里,你就知道我们在说什么了。结合后文half an hour ago可知,表示与过去事实相反,主句用would (should, could, might) +have+过去分词,从句用过去完成时。故选B。【点睛】if虚拟条件句和对应主句的动词形式列表: 条件从句的谓语动词形式 主句谓语动词形式 与过去事实相反的假设 had done would/could/might/should have done 与现在事实相反的假设 过去时(was→were) would/could/might/should do 与将来事实相反的假设 过去时 (was→were) ; should do; were to do would/could/might/should do 有时假设的情况并不是以if引导的条件从句形式出现,而是通过一些短语等形式暗示虚拟语气的存在,常用的词语有with, without, but for, otherwise, or,even, in case of, what if(如果…将如何)等等,这种句子往往有主句而无从句 (考试时多数情况是对过去的假。但是可以转化成if引导的虚拟条件句。分析句子可知,本句可以转化成是if引导的虚拟条件句,表示与过去事实相反的假设。从句为:If I had not had your recommendation ,主句为:I would have missed it。故C选项正确。。
+
+
+【题干】：Regular exercise along with proper diets_our health in the long term. A. benefits B. has benefited C. benefit D. have benefited
+【答案】：A
+【解析】：【详解】考查主谓一致。句意:有规律的运动加上适当的饮食从长远来看对我们的健康有益。主语后接介词短语along with或其他插入语,不影响主语的人称和数,谓语动词应根据主语的人称和数来确定。故谓语动词应与Regular exercise保持一致,且描述客观事实用一般现在时,故谓语动词用第三人称单数。故选A。。
+
+
+【题干】：Modern TVs use many of the _ first discovered by Farnsworth. A. principles B. principals C. probabilities D. prohibitions
+【答案】：A
+【解析】：【详解】考查名词辨析。句意:现代电视机使用了许多由法恩斯沃斯首先发现的原理。A. principles原则,原理;B. principals大学校长,负责人;C. probabilities可能性;D. prohibitions禁令,禁律。现代电视机使用了许多由法恩斯沃斯首先发现的原理。故选A。【点睛】名词词义辨析是对名词考查的最大热点,也是重点和难点。名词辨析主要包含同义词辨析(意思大致相同,但是各个词之间有着细微差别或者用法完全不同)、近义词辨析(词义不同,但比较接近)、形似词辨析(拼写类似,词义差别较大)。例如本题中考查的就是形似词辨析,四个词都以p开始,并且principles与principals无论从发音还是词性,都容易让学生混淆,所以同学们在记忆时,最好能将这样的词汇一起记忆,发现它们的细微差别。。
+
+
+【题干】：These traditional medicines had the_of either causing people to bleed or have a severe stomach upset. A. trial B. professional C. survival D. potential
+【答案】：D
+【解析】：【详解】考查名词辨析。句意:这些传统药物有可能导致人们流血或严重的胃部不适。A. trial审讯,审理;B. professional专业人士,专家;C. survival生存,存活;D. potential可能性,潜在性。根据句意,传统药物会引起人们不适的可能性。故选D。。
+
+
+【题干】：It is dangerous to drive the car while on the phone. A. talk B. talking C. talked D. to talk
+【答案】：B
+【解析】：【详解】考查省略句。句意:一边开车一边打电话是很危险的。主句为it做形式主语,句型it be+ adj.+(for sb.) to do sth.,省略了for you;从句为while引导的省略句,省略了主语和谓语动词,完整为while (you are) talking on the phone。故选B。【点睛】状语从句中的省略 (1)在when, while, if, as if, though(或although), as, until, once, whether, unless, where等连词连接的状语从句中,常省略跟主句相同的主语和be动词。如: When (water is) pure, water is a colorless liquid. 水纯净时,是无色的液体。 When (I am) in trouble I always turn to her for help. 我困难时总是找她帮助。 Errors, if (there are) any, should be corrected. 如果有什么错误,就应当改正。 Wood gives much smoke while (wood is) burning. 木头燃烧时放出大量烟雾。 The letter is to be left here until (it is) called for. 这封信留在这里待领。 Henry looked about as if (he were) in search of something. 亨利向四周环视,似乎在寻找什么。 She studies very hard though (she is) still rather weak. 她尽管体弱,但学习仍十分努力。 (2)“when(或if, where, wherever, whenever, as soon as, as fast as, than等)+possible/necessary等”,中间省略了it is(或was)。如: Answer these questions, if (it is) possible without referring to the book. 如果有可能,请不看书回答这些问题。 When (it is) necessary you can help us to do something. 必要时你可以帮助我们做些事。。
+
+
+【题干】：She wanted to know why he coffee to tea. A. solved B. performed C. preferred D. charged
+【答案】：C
+【解析】：【详解】考查动词词义辨析。句意:她想知道为什么比起茶他更喜欢咖啡。A. solved解决;B. performed表演;C. preferred更喜欢;D. charged填充。结合句意此处表示“比起……更喜欢……”短语为prefer sth. to sth.,故选C。。
+
+
+【题干】：My head teacher has taught me a lot, I am grateful. A. for that B. for which C. of which D. of whom
+【答案】：B
+【解析】：【详解】考查定语从句。句意:我的班主任教了我很多,为此我很感激。本句为“介词+关系代词”结构,非限定性定语从句修饰上文整个句子,且表示原因应用for which。故选B。。
+
+
+【题干】：They can't go to school tomorrow because the school houses in a fire. A. have been damaged B. have damaged C. will be damaged D. were being damaged
+【答案】：A
+【解析】：【详解】考查动词时态语态。句意:他们明天不能上学了,因为学校的房子在一场火灾中被烧毁了。根据上文They can't go to school tomorrow可知房子已经被烧了,表示过去发生的动作对现在产生的影响应用现在完成时,且从句中主语与谓语动词构成被动关系,故用现在完成时的被动语态,且主语为houses,助动词应用have。故选A。。
+
+
+【题干】：Our company suffered a continuous loss due to poor management. Hopefully the new director is able to _ our failing business. A. take over B. keep down C. turn around D. set aside
+【答案】：C
+【解析】：【详解】考查动词短语辨析。句意:由于管理不善,我们公司连续亏损。但愿新主任能使我们失败的生意起死回生。A. take over 接管;B. keep down控制,缩减;C. turn around(生意或经济好转)转身,转向;D. set aside留出。此处指公司“好转”。故选C。。
+
+
+【题干】：Daniel has undertaken to keep the secret, so he won’t tell anyone even though _. A. asked to keep B. to be asked C. to ask D. asked to
+【答案】：D
+【解析】：【详解】考查省略和过去分词。句意:丹尼尔答应保守这个秘密,所以即使问他也不会告诉任何人。此处是even though引导的让步状语从句,从句主语和主句主语都是he,和ask之间是被动关系,相同的主语和be动词可以省略,所以这里是过去分词作状语,且ask sb. to do sth.可以省略与前面相同的部分,只留下动词不定式符号to。故选D。【点睛】状语从句主谓成分的省略,须遵循下面原则: (一)当从句的主语与主句的主语一致时,从句可以省略主语,从句的谓语动词采用其V-ing结构。例如: Although working very hard, he failed in the final exam. (Although he worked very hard,…) (二)当从句的主语和主句的主语一致时,若从句的谓语动词是系动词be或包含be的某种形式,此时从句的主语和be动词通常可以一同省略。常见于以下几种形式: 1、连词+形容词 Whenever (she is) free, she often goes shopping.她有空就去逛商店。 2、连词+名词 While (he was) a young boy, he was always ready to help others.他在孩提时代就乐于助人。 3、连词+现在分词 While (she was) walking along the river bank, she was singing a pop song.她沿着河堤边走边唱着流行歌曲。 4连词+过去分词 If (it is) well read, the book will give you much to think. 5连词+不定式 He stood up as if (he were) to say something.当时他站起来好像要说什么。 6、连词+介词短语 She looked anxious as though (she was) in trouble.她看上去很焦急,好像遇到了麻烦。。
+
+
+【题干】：—Why didn’t you attend the meeting yesterday? —Well I _ anything about that. A. didn't tell B. haven't told C. hadn't been told D. haven't been told
+【答案】：C
+【解析】：【详解】考查过去完成时态的被动语态。句意:——你昨天为什么没参加会议?——关于那件事我什么也没听说。根据上文可知,会议是昨天举行的,因此推断“没人告诉过我这件事”,是“过去的过去”,且句子主语I和tell之间是一种被动关系,应该用过去完成时态的被动语态。故选C。。
+
+
+【题干】：—Your little brother is watering the flowers! Why? —Well, I’m not feeling very well today—otherwise I _ it myself. A. did B. would be doing C. had done D. would have done
+【答案】：B
+【解析】：【详解】考查虚拟语气。句意:——你的小弟弟正在浇花!为什么?——嗯,我今天感觉不太好,否则我就自己做了。此处otherwise“否则,要不然的话”,与现在的事实相反,谓语动词应该用would+动词原形,且强调动作的进行,用过去将来进行时态,故选B。【点睛】If引导的虚拟语气: 1.表示与现在事实相反的情况 从句:If+主语+动词一般过去时(Be动词用were)主句:主语+ should/would/might/could+do:If I were you,I would take an umbrella.如果我是你,我会带把伞。(事实:我不可能是你) 2.表示与过去事实相反的情况 从句:If+主语+had+done主句:主语+should/would/might/could+have done:If I had got there earlier,I should/would have met her.如果我早到那儿,我就会见到她。(事实:去晚了) 3.表示与将来事实相反 从句:①if+主语+were to do②if+主语+should+do③if+主语+动词一般过去式(be动词用were)主句:主语+should/would/might/could+do:If he should come here tomorrow,I would talk to him.如果他明天来这儿的话,我就跟他谈谈。(事实:来的可能性很小,不可能)。
+
+
+【题干】：—Linda, would you like to come and taste the dishes I have cooked? —Don’t _. You even don’t know how to fry an egg. A. rain cats and dogs B. pull my leg C. be all ears D. be all thumbs
+【答案】：B
+【解析】：【详解】考查固定用法。句意:——琳达,你愿意来尝尝我做的菜吗?——别开我玩笑。你甚至不知道怎么煎蛋。A. rain cats and dogs下倾盆大雨;B. pull my leg开玩笑;C. be all ears全神贯注地倾听;D. be all thumbs笨手笨脚的。此处指“开玩笑”。故选B。。
+
+
+【题干】：The reason _ Mr. Anderson gave for choosing this park is hard to explain. A. why B. that C. for which D. what
+【答案】：B
+【解析】：【详解】考查定语从句。句意:Anderson先生给出的选择这个公园的原因很难解释。A. why关系副词;B. that关系代词;C. for which介词 + 关系代词;D. what什么。分析句子结构可知,此处是定语从句关系词,先行词reason在从句中充当give的宾语,故用关系代词which/that,故选B项。【点睛】本题考查定语从句关系词。确定定语从句关系词一般分为三步:找出先行词;分析先行词在从句中充当什么成分;考虑特殊情况。 找出先行词: reason 分析先行词在从句中充当什么成分:reason在从句_ Mr. Anderson gave for choosing this park中充当give的宾语,故用指物的关系代词which/that 考虑特殊情况:无 故可用which/that,故选B项。。
+
+
+【题干】：My brother will have to take care of you. I'll call him today and he _ you. A. has expected B. will have expected C. expects D. will be expecting
+【答案】：D
+【解析】：【详解】考查时态。句意:我兄弟会照顾你。我今天给他打电话,他会一直等着你的。由will判断事情还未发生,故用一般将来时,又由语境判断在将来的一段时间内动作都会发生,故用将来进行时,即will be doing,故选D项。【点睛】本题考查将来进行时 将来进行时,表将来的某个时间点或者某段时间动作正在进行,其结构为will be doing,例如: Don’t call me at 12:00 tomorrow, for I will be having lunch.明天12点不要给我打电话,我那时候将正在吃午饭。 During the next two weeks, I will be writing this novel.接下来的两个月,我都会写这部小说。。
+
+
+【题干】：The police are trying to find out the evidence of the woman _ in the bathroom. A. murdered B. to be murdered C. being murdered D. murdering
+【答案】：A
+【解析】：【详解】考查非谓语动词。句意:警察正在努力找出那个女士在浴室被谋杀的证据。分析句子可知,句子的谓语是are trying,所以空白处要用非谓语动词;谋杀(murder)与逻辑主语the woman是被动关系,要用过去分词形式。故选A。【点睛】非谓语动词解题三原则: 1、查看句子是否缺少谓语动词,来判断是否使用非谓语动词形式。 2、判断语态,根据动作执行者和承受者来判断是使用主动还是被动语态。 3、判断时态,根据动作的先后关系等,判断应该使用的时态。。
+
+
+【题干】：— Congratulations, Tom! You have won the first prize in the physics competition. — Don’t _. I am not good at physics, you know. A. be a wet blanket B. pull my leg C. be a no-brainer D. be all thumbs
+【答案】：B
+【解析】：【详解】考查情景交际及习惯表达。句意:——祝贺你!汤姆。你在物理竞赛中赢得了第一名。——别开我玩笑。你知道的,我不擅长物理。A. be a wet blanket令人扫兴的人或物;B. pull my leg开我玩笑;C. be a no-brainer简单的事情;D. be all thumbs笨手笨脚的。分析句子可知,听到别人说自己在不擅长的事情上获第一,应该觉得是在开玩笑,pull my leg是开玩笑的意思。故选B项。。
+
+
+【题干】：- Is it hard to drive downtown to work? -Yes, that’s why I _ to work by train. A. will have gone B. was going C. have gone D. have been going
+【答案】：D
+【解析】：【详解】考查时态。句意:-开车去市中心上班很困难吗?-是的。这就是我为什么一直乘坐火车去上班的原因。由问话人使用的是一般现在时可知,对话者双方在讨论现在的状况。所以使用现在时。根据答话人的意思,这就是他到目前为止一直乘坐火车上班的原因,他以后还是会坐火车上班,所以应用完成进行时。所以答句应用现在完成进行时。故选D。【点睛】现在完成进行时的构成:have /has been doing“一直在做某事”。现在完成进行时的作用:可以表示动作从过去某个时刻开始一直持续到现在,甚至将来,强调进行的过程;或者表示从过去到现在的一段时间被反复进行的动作或存在的状态。例如本题中,根据句意,回答的人强调他从过去某一时间到现在一直在乘坐火车出行,这是一个反复进行的动作,所以时态用现在完成进行时。故选D。。
+
+
+【题干】：Planning ahead will help you to have a(n) _ idea of what you want to buy before the Spring Festival. A. average B. slim C. normal D. rough
+【答案】：D
+【解析】：【详解】考查形容词。句意:提前计划将会帮你对春节前需要买什么有个大概的了解。A. average平均的;B. slim苗条的,单薄的;C. normal正常的;D. rough粗糙的,粗略的。根据句意,提前计划会帮你有个大概的了解,故选D。。
+
+
+【题干】：Lego is considering its products’ rental plan, _ purpose is to reduce plastic waste. A. whose B. that C. which D. of which
+【答案】：A
+【解析】：【详解】考查定语从句。句意:乐高公司正在考虑其产品的租赁计划,其目的是减少塑料浪费。这是一个非限定性定语从句,先行词是plan,从句中缺少定语,所以用关系代词whose修饰名词purpose。如果使用of which,则需要在名词前加定冠词。故选A。【点睛】分析定语从句关键抓住两点:第一、找准先行词;第二、看先行词在定语从句中所作的成分。先行词往往为名词或代词,如本题中先行词为名词plan,再分析先行词plan在定语从句中所作的成分,将先行词plan带到从句中可知,只能作定语,修饰名词purpose。。
+
+
+【题干】：It’s her _ of time to medical research that helped Tu Youyou win the Nobel Prize. A. supply B. respect C. devotion D. arrangement
+【答案】：C
+【解析】：【详解】考查名词词义辨析。句意:正是她对医学研究的投入,帮助屠呦呦获得了诺贝尔奖。A. supply提供;B. respect尊重;C. devotion奉献,投入;D. arrangement安排。根据Tu Youyou win the Nobel Prize可知,屠呦呦对医学研究的投入了很多时间。故选C。。
+
+
+【题干】：—Hi, Colin. Why do you look so excited? —Well, my brother Toby together with me _ to Morocco at 4:00 tomorrow afternoon. A. will fly B. will be flying C. is flying D. has been flying
+【答案】：B
+【解析】：【详解】考查动词时态。句意:——嗨,Colin。为什么你这么兴奋?——哦,我和我的哥哥Toby明天下午四点将正在乘飞机飞往Morocco。根据时间状语at 4:00 tomorrow afternoon.可知,此处表示将来正在进行的动作,所以用将来进行时:will/shall be doing。故选B。。
+
+
+【题干】：—Could I _ the table with four seats near the window? —Terribly sorry, but it has already been taken. A. preserve B. reserve C. observe D. deserve
+【答案】：B
+【解析】：【详解】考查动词词义辨析。句意:——我可预订靠窗子有四个座位的桌子吗?——非常抱歉,那张桌子已经预订出去了。A. preserve保护;B. reserve预订;C. observe观察;D. deserve应得。根据the table with four seats near the window可知,此处指“预订餐桌”。故选B。。
+
+
+【题干】：Well-educated employees can undertake most common jobs easily, _ the efficiency of the society is guaranteed. A. so that B. even if C. in that D. as if
+【答案】：A
+【解析】：【详解】考查状语从句引导词。句意:受过高等教育的雇员能够更加容易地承担一般的工作,结果社会的生产效率能够得到保证。A. so that以便于;B. even if尽管;C. in that 因为;D. as if好像。结合句意可知,上下文是因果关系,设空处表结果,用so that引导的结果状语从句。故选A项。。
+
+
+【题干】：Experiments show that when kids are encouraged to share what they have, they're roughly twice as likely to be _ later. A. generous B. outspoken C. intelligent D. liberal
+【答案】：A
+【解析】：【详解】考查形容词词义辨析。句意:实验证明当小孩被鼓励分享他们拥有的东西时,他们在很大程度上会在之后变得更加慷慨。A. generous慷慨的;B. outspoken直言不讳的;C. intelligent聪明的;D. liberal民主的。结合句意可知,此处用“慷慨的”符合语境,故选A项。。
+
+
+【题干】：Thanks to Li Ziqi’s efforts, many Chinese cultural heritages that _ in written records now appear before our eyes. A. were existing B. had existed C. would have existed D. existed
+【答案】：D
+【解析】：【详解】考查时态。句意:因为李子柒的努力,许多过去在纸上记录下的中国传统文化遗产现在出现在了我们眼前。结合语境可知,“文化遗产记录在纸上”发生在过去,故用一般过去时,故选D项。。
+
+
+【题干】：_ athletes for several years, he decided to bring Chinese culture to more people through tai chi. A. Having coached B. Coached C. Coaching D. Being coached
+【答案】：A
+【解析】：【详解】考查非谓语动词。句意:训练运动员多年,他决定将中国的文化通过太极这一方式带给更多的人。分析句子可知,此处是非谓语动词作状语,he和coach之间是逻辑上的主动关系,故用现在分词;再结合语境可知,先作为很多年的运动员,后面才决定,故用现在分词的完成式having done,故选A项。【点睛】本题考非谓语动词的完成式 非谓语动词的完成式表,非谓语的动作发生在谓语动作之前。doing- having done, done – having been done, to do – to have done 例如: Having suffered from the illness for years, he can walk freely now. 已近生病很多年,他现在可以自如走动了。 Having been told many times, he still made the same mistake.已近被告知了很多次,他仍然犯了相同的错误。 His suit is loose. He seems to have lost weight.他的外套宽松了。他似乎已经减肥了。。
+
+
+【题干】：As is well known, our success in life depends on our determination to grasp opportunities that _ to us. A. present B. are presenting C. are presented D. have presented
+【答案】：C
+【解析】：【详解】考查时态语态和主谓一致。句意:众所周知,我们在生活中的成功取决于我们想要抓住呈现在面前机会的决心。分析句子可知,此处是定语从句谓语动词,that指代opportunities,和present之间是被动关系,由前文的is判断为一般现在时,故此处用一般现在时的被动语态,主语是复数,故用are presented,故选C项。。
+
+
+【题干】：It's surprising that this innocent-looking person should have _ such a crime. A. committed B. acted C. made D. performed
+【答案】：A
+【解析】：【详解】考查动词词义辨析。句意:令人惊讶的是,这个看似无辜的人竟然犯下了这样的罪行。A. committed犯罪;B. acted行动;C. made制作;D. performed表演。短语commit a crime意思为“犯罪”。故选A项。。
+
+
+【题干】：I’m well aware that I shouldn’t have got angry with John-He me; he really meant it for the best. A. hadn’t criticized B. wasn’t criticizing C. hadn’t been criticizing D. wouldn’t criticize
+【答案】：B
+【解析】：【详解】考查时态。句意:我很清楚我不应该生约翰的气-他不是在批评我,他真的是出于好意。根据shouldn’t have got和meant可知用过去时。分析句意可知,本句描述的过去正在发生的事情,故应用过去进行时。故选B。。
+
+
+【题干】：The man hid himself behind the door waiting no other people could see him negotiating with his manager about his promotion. A. so that B. in that C. in case D. now that
+【答案】：A
+【解析】：【详解】考查连词。句意:那个人躲在门后等着,为了没有人能看到他和经理商谈升职事宜。A. so that 为了,因此,所以;B. in that因为,由于;C. in case以防万一;D. now that既然。分析句意可知,设空处是一个目的状语从句,表示“为了没有人能看到他和经理商谈升职事宜”。结合选项,故选A。。
+
+
+【题干】：- How long is it you picked up your badminton training? - It was not until my finance became better in last December I started the training. A. that; when B. until; that C. since; that D. before; when
+【答案】：C
+【解析】：【详解】考查连词和强调句型。句意:你重新练习羽毛球有多久了?-直到去年十二月份,我的资金状况好转了,我才开始训练的。分析句子可知,问句表示的意思是“从你重新练习羽毛球到现在有多久了?”可知答案是since;答语中被强调部分是时间状语not until my finance became better in last December,是it is/was not until…that的强调句。故应用that。故选C。。
+
+
+【题干】：All the passengers, according to the new regulation, before boarding the subway. A. are to be inspected B. are going to be inspected C. will be inspected D. are about to be inspected
+【答案】：A
+【解析】：【详解】考查时态和语态。句意:根据最新根据规定,所有乘客,在乘坐地铁之前都要被检查。分析句子可知,The passengers与inspect是被动关系;根据句中的“according to the new regulation”得出,be to do此处意为“必须”。结合选项,故选A。。
+
+
+【题干】：A donation from Japan to the coronavirus-stricken Hubei province caused a stir on Chinese social media _ the powerful poetic message written on each box: “Lands apart, sky shared”. A. in the light of B. in parallel with C. as opposed to D. on account of
+【答案】：D
+【解析】：【详解】考查介词短语辨析。句意:日本给冠状病毒肆虐的湖北省的捐赠在中国社交媒体上引起轩然大波,这是因为捐赠的每一个盒子上都写着一句强有力的诗:“山川异域,风月同天”。A. in the light of根据,按照;B. in parallel with与……同时;C. as opposed to而不是;D. on account of由于。因为写在盒子上面的诗,使得中国社交媒体反响巨大。所填空后是空前的原因,因此用on account of解释引起轰动的原因。故选D。。
+
+
+【题干】：It’s on such occasions _ others unites while I am alone in a foreign land that I am twice as homesick. A. that B. where C. as D. when
+【答案】：D
+【解析】：【详解】考查定语从句。句意:就是在别人团聚而我一个人在异国他乡时,我的思乡之情就会加倍强烈。空处是一个定语从句,先行词是occasions,在定语从句中作时间状语,故用关系副词when引导。故选D项。。
+
+
+【题干】：—We didn’t find Ju Xiaopeng attending the English Class online. —No one _ him about _ a lecture even on Saturday. A. told; there to be B. had told; there to be C. told; there was D. had told; there being
+【答案】：D
+【解析】：【详解】考查时态和介词搭配。句意:——我们发现朱小鹏没有在网上上英语课。——即使在星期六也没有人告诉他有课。由didn’t可知发生在过去,在此之前,用过去的过去,即过去完成时had told。about是介词,介词后面加doing,所以是about there being。故选D项。。
+
+
+【题干】：After my divorce, Ann was the only one _ to listen to my problems, and I am forever in her debt. A. preparing B. prepared C. to prepare D. having prepared
+【答案】：B
+【解析】：【详解】考查固定短语。句意:我离婚后,安是唯一的一个愿意听我诉苦的人,我永远欠她的情。此处the only one“唯一的一个”在此处作插入成分,表示强调,可以去掉,所以空处变为Ann was _ to listen to my problems;be prepared to do sth.固定短语,符合题意。故选B项。。
+
+
+【题干】：If we could all learn to _ a little more, the world would be a much happier place. A. live and let live B. live from hand to mouth C. fight fire with fire D. add fuel to the flames
+【答案】：A
+【解析】：【详解】考查习语辨析。句意:如果我们都能学会各行其是,互不相扰,世界将是一个更快乐的地方。A. live and let live各行其是,相互宽容;B. live from hand to mouth勉强养家糊口;C. fight fire with fire以牙还牙;D. add fuel to the flames火上浇油。根据下文“the world would be a much happier place(世界将是一个更快乐的地方)”及常识判断,“相互宽容”符合语境。故选A项。。
+
+
+【题干】：—Hi, darling, what's the matter? —Well, I wasn't feeling well this morning and I was having breakfast_a wave of nausea ( 恶心) _me. And then I passed out. A. before; came over B. when; came over C. before; pulled over D. when; pulled over
+【答案】：B
+【解析】：【详解】考查连词和动词短语辨析。句意:——嗨,亲爱的,怎么了?——今天早上我心情不好,我正在吃早饭的时候突然开始觉得一阵恶心,然后就晕过去了。A. before; came over在……之前,开始觉得;B. when; came over当,开始觉得;C. before; pulled over在……之前,靠边停车;D. when; pulled over当,靠边停车。分析句子可知,第一空考查固定句型was/were doing sth…when…“正在做某事突然……”;第二空考查固定短语come over作为“开始觉得”的意思。故选B项。【点睛】本题第一空考查when的固定句型 be doing…when…正在做某事突然就……; had done…when…刚做完某事突然就……,;be about to do…when…正要做某事突然就……,这个三句子中只能用when,例如: I was crossing the road when a rushed to me.我正在过马路,突然一辆车向我冲来。 He had finished his work when the doorbell rang.他完成工作门铃就响了。。
+
+
+【题干】：_''eat more if you're losing weight'' really means is that if you eat 5 to 6 small, healthy meals throughout the day, you will lose weight over time. A. Which B. That C. What D. Whether
+【答案】：C
+【解析】：【详解】考查主语从句。句意:“如果你正在减肥就要多吃”这句话的真正意思是如果你一天吃5-6次量少而健康的餐,随着时间的推移,你的体重会下降。A. Which哪一个;B. That(无意义);C. What什么/指代事物;D. Whether是否。分析句子可知,此处是主语从句连接词,从句“eat more if you’re losing weight” really means缺少宾语,应用连接代词,又此处指代事物,故用what引导,故选C项。【点睛】本句考查主语从句连接词。确定主语从句连接词一般分为三步:分析从句成分;联系上下文意思;考虑特殊情况。以本题为例: 分析从句成分:从句“eat more if you’re losing weight” really means缺少宾语,应用连接代词 联系上下文意思:“如果你正在减肥就要多吃”这句话的真正意味的东西,从句缺少的部分指代事物,故用what引导 考虑特殊情况:无 故填what,选C项。。
+
+
+【题干】：_, I believe, and you can see he wasn’t lying. A. Casting a glance at the boy B. One glance at the boy C. Glance cast at the boy D. If you cast a glance at the boy
+【答案】：B
+【解析】：【详解】考查固定句型。句意:我认为,看一眼这个男孩,你就可以知道他没有撒谎。分析句子可知,此处考查固定句型“名词词组+ and/or + 陈述句”,句中I believe是插入结构,可忽略,故选B项。【点睛】本句考查固定句型:祈使句/名词词组 + and/ or + 陈述句(and表顺承,or表转折意为“否则”),例如: Hurry up, and you will catch up with them.快点,你会追上他们的。 One more chance, and I will do it better.再给一次机会,我会把它做得更好。 Try hard, or you will lose sooner or later.努力,否则你迟早会失败。。
+
+
+【题干】：China has a rapid rising middle class and a culture _ it is polite to over-order food for guests in restaurants. A. which B. who C. where D. when
+【答案】：C
+【解析】：【详解】考查定语从句的关系词。句意:中国的中产阶级正在迅速崛起,而且在中国的文化中,在餐馆里为客人点过多的食物是有礼貌的。分析句子成分可知,空后面为定语从句,修饰先行词a culture在句子中做状语,表地点,故选C。。
+
+
+【题干】：If public schools don’t work out a plan on how much they will spend next year and have it _, they may not get enough money from the government. A. approving of B. approved of C. approving D. approved
+【答案】：D
+【解析】：【详解】考查非谓语动词和词组辨析。句意:如果公立学校没有制定出明年的支出计划并获得批准,他们可能无法从政府获得足够的资金。分析句子可知,空中词做it的宾语补足语,和it之间为被动的关系,应用过去分词,approve of意为“赞成”,而approve意为 “批准,同意”,故选D。。
+
+
+【题干】：Nanjing is no longer what it was. Great changes _ in the past few years. A. were taken place B. are taken place C. have taken place D. are taking place
+【答案】：C
+【解析】：【详解】考查时态和语态。句意:南京不再是原来的样子了。 过去几年发生了巨大变化。take place为固定词组,意为“发生”,它没有被动语态, 根据时间状语in the past few years可知为现在完成时,故选C。。
+
+
+【题干】：— Jane, why are you in a skirt today? I told you we would work on the farm today, _? — Sorry, sir. I was absent yesterday. A. wouldn’t we B. would we C. didn’t I D. did I
+【答案】：C
+【解析】：【详解】考查反意疑问句。句意:—简,你今天为什么穿裙子?我说过我们今天会在农场工作,不是吗?—对不起,先生。我昨天缺席了。分析句子可知,本句是对主句进行反问,故用助动词did,而且前面肯定,后面是否定,故选C。。
+
+
+【题干】：In the factory, there was a workshop_windows were broken, so the workshop was so cold in the winter. A. who B. which C. whose D. that
+【答案】：C
+【解析】：【详解】考查定语从句。句意:在工厂里,有一个窗户坏了的车间,因此这个车间在冬天很冷。A. who关系代词,指人;B. which关系代词,指物;C. whose关系代词;D. that关系代词。分析句子结构可知,此处是定语从句关系词,先行词workshop在从句中充当定语,应用关系代词whose,故选C项。【点睛】本题考查定语从句关系词。确定定语从句关系词一般分为三步:找出先行词;分析先行词在从句中充当什么成分;考虑特殊情况。以本题为例: 找出先行词:workshop 分析先行词在从句中充当什么成分:先行词workshop在从句_windows were broken中充当Windows的定语,故用关系代词whose。 考虑特殊情况:无 故用whose,选C项。。
+
+
+【题干】：— How does Jane put on so much weight? — Large quantities of fat _ recently. A. are consumed B. is being consumed C. has been consumed D. have been consumed
+【答案】：D
+【解析】：【详解】考查时态和主谓一致。句意:——Jane怎么长这么胖?——最近吃了大量富含脂肪的食物。由recently判断为现在完成时,主语fat和consume之间是被动关系,故用现在完成时的被动语态,“large quantities of + 名词” 作主语时谓语动词用复数形式,故用have been consumed。故选D项。【点睛】本题考查关于quantity短语的主谓一致。quantity一般构成连个短语a quantity of和quantities of,它们的用法如下: quantities of无论修饰可数还是不可数名词、谓语动词都用复数。 例如: Quantities of food (nuts) were on the table. 桌子上有许多食品(坚果)。 a quantity of+可数名词复数、谓语动词用复数;+不可数名词、谓语动词用单数。即修饰可数或不可数名词均可,作主语时采取就近一致的原则,其谓语动词通常与短语中of后面的名词的数保持一致。 例如: A large quantity of beer was sold out. 大量的啤酒被售出。 A large quantity of blouses were on sale. 大量罩衫有售。。
+
+
+【题干】：In current economic situations, some small businesses will need to _ costs in order to survive. A. affect B. adopt C. reduce D. release
+【答案】：C
+【解析】：【详解】考查动词词义辨析。句意:在当前的经济形势下,一些小企业需要降低成本才能生存。A. affect影响,感染;B. adopt采取,接受;C. reduce降低,减少;D. release释放,放开,放弃。由in order to survive可知此处要用降低成本。故选C项。。
+
+
+【题干】：Lady Gaga has put off her concerts because of the difficulties _ by the strikes. A. causing B. being caused C. caused D. having caused
+【答案】：C
+【解析】：【详解】考查非谓语动词。句意:由于罢工造成的困难,Lady Gaga推迟了她的演唱会。分析句子可知,cause此处作定语,修饰difficulties,the difficulties与cause之间是被动关系,且根据by可知此处要用过去分词形式。故选C项。。
+
+
+【题干】：Susan went over to her parents’ house to _ some clean clothes. A. pick up B. put up C. cheer up D. look up
+【答案】：A
+【解析】：【详解】考查动词短语词义辨析。句意:苏珊到她父母家去收拾一些干净衣服。A. pick up收拾,捡起,获得,学会;B. put up提供,举起,建造,提高,张贴;C. cheer up使振奋,使高兴;D. look up查阅,仰望,向上看,尊敬,拜访。根据some clean clothes可知此处意为收拾衣服。故选A项。。
+
+
+【题干】：You should book your flight about two or three weeks _ so that you can enjoy a lower price. A. in particular B. in advance C. in return D. in fact
+【答案】：B
+【解析】：【详解】考查介词短语词义辨析。句意:你应该提前两到三周预订机票,这样你就可以享受更低的价格。A. in particular尤其,特别是;B. in advance预先,提前;C. in return作为回报;D. in fact事实上,实际上。根据so that you can enjoy a lower price和常识可知,提前预定的机票价格会更低。故选B项。。
+
+
+【题干】：His casual remarks led to _ by others. A. me misunderstood B. my misunderstanding C. my being misunderstood D. me be misunderstood
+【答案】：C
+【解析】：【详解】考查动名词的复合结构。句意:他随口说的话导致我被别人误解了。固定短语lead to“导致”,其中to是介词,可知后接动名词作介词宾语;misunderstand的逻辑主语是I,作宾格时不能用主格,用代词宾格或者形容性物主代词+动名词的形式,再根据by others可知要用其被动式。故选C项。。
+
+
+【题干】：Today we are going to talk about the effects of smog _ the environment. A. to B. towards C. on D. in
+【答案】：C
+【解析】：【详解】考查固定搭配。句意:今天我们要讨论的是雾霾对环境的影响。根据the effects可知此处要用介词on,表示在什么方面,短语have(an)effect on…对……产生影响,影响。故选C项。。
+
+
+【题干】：She _ working at night and it took her a few months to _ it. A. was not used to, used to B. used to, was not used to C. did not used to, got used to D. was not used to, get used to
+【答案】：D
+【解析】：【详解】考查动词短语词义辨析。句意:她不习惯晚上工作,花了几个月的时间才习惯。used to过去常常;be used to习惯于,被用来做;get used to习惯于,适应于。根据working at night 可知表示不习惯;再根据it took her a few months to可知此处要用动词原形,表示习惯。故选D项。。
+
+
+【题干】：_ diverse Chinese culture and customs, Albert returned to Britain last week, excited and pleased. A. Experienced B. Having experienced C. To experience D. Experiencing
+【答案】：B
+【解析】：【详解】考查现在分词的完成式。句意:阿尔伯特经历了多元的中国文化和习俗,上周回到英国,既兴奋又快乐。分析句子可知,Albert 和experience是主谓关系,先确定用非谓语中的现在分词,同时experience这个动作又发生在主句谓语动词returned之前,所以最后要用having done现在分词完成式,故用having experienced。故选B项。【点睛】分析现在分词的完成式关键抓住两点: 辨别非谓语动词的使用条件。一个句子中,已经存在一个主句(谓语动词),又没有连词,还有别的动词出现时,这个动词用非谓语形式。主动进行-ing,被动完成用-ed,将来目的用to do。 having done的用法。非谓语中的having done是现在分词完成式,表示主动的动作,且动作发生在谓语动词之前。 如本题中,Albert是experience的逻辑主语,是主动关系,先确定用-ing形式,同时experience这个动作又发生在主句谓语动词returned之前,所以最后要用having done现在分词完成式,故用having experienced。。
+
+
+【题干】：_ computer lessons, designed for children, is an important qualification for the job. A. Having studied B. Having been studied C. Being studied D. Had studied
+【答案】：A
+【解析】：【详解】考查动名词的完成式。句意:学习过专为孩子设计的计算机课程是担任这项工作的一项重要条件。分析句子结构可知,句子缺少主语,故用非谓语中的动名词做主语,又因study这个动作已完成且是主动的,故用动名词的完成式having done,故选A项。。
+
+
+【题干】：Some famous online shopping platforms have taken action in a wide range of fields to ensure consumers can buy high­quality and _ goods. A. artificial B. authentic C. confidential D. correctional
+【答案】：B
+【解析】：【详解】考查形容词词义辨析。句意:一些著名的网上购物平台已经在广泛的领域采取行动,以确保消费者能够买到高质量和正宗的商品。A. 虚假的、人造的;B. 真品的、真正的; C. 机密的;D. 改造的。分析高品质的可知,用authentic真正的表示并列。故选B项。。
+
+
+【题干】：“Never for a second,” the boy said, “ _ my father would come to my rescue.” A. I doubted that B. do I doubt whether C. did I doubted if D. did I doubt that
+【答案】：D
+【解析】：【详解】考查倒装句、一般过去时与宾语从句的连接词。句意:这个男孩说:“我从不怀疑我父亲会来救我。”。当否定副词或具有否定含义的短语置于句首时,句子常用部分倒装。本题中,否定词never放在了句首,所以本题要用部分倒装。再根据权would come to...可知,是在讲过去发生的事,故用过去时。小男孩说的话是doubt后引导的宾语从句,从句部分是一个句子成分完整的句子,所以连接词使用that。故选D。【点睛】倒装句是高中英语中比较难的一个语法点。在英语中,主语和谓语的语序通常是主语在前,谓语在后。但有时由于语法或修辞的需要将谓语的部分或全部提到主语前面,这样的语序叫做倒装。倒装句种类:完全倒装:整个谓语移至主语前面叫完全倒装。部分倒装:只把助动词、系动词或情态动词放在主语之前叫部分倒装。部分倒装结构中,有一条规则是:表示否定意义的副词或连词放在句首时,句子使用部分倒装结构。此类副词或连词主要有not,little,hardly,never,no sooner..than..,hardly/scarcely..when..,not only…but also…,at no time,by no means,on no condition,in no case,in no event,anywhere,seldom等。例如本题中就是将表示否定的副词never放在了句首,所以句子使用部分倒装结构。在倒装结构中,还需要常常考虑时态的呼应。具体的解题步骤见详解。。
+
+
+【题干】：That young girl killed that tall man in a (n) _ attempt to free herself. A. considerate B. desperate C. disappointed D. intensive
+【答案】：B
+【解析】：【详解】考查形容词辨析。句意:为了获取自由,那位年轻的女孩铤而走险地杀了那个高大的男士。A. considerate考虑周到的;B. desperate绝望的,危急的,不顾一切的;C. disappointed失望的;D. intensive密集的,彻底的。根据句意,那位年轻的女孩为了获取自由,铤而走险地杀了那个高大的男士,故选B。。
+
+
+【题干】：There, a big memorial has been built _ him, who devoted himself to the poor. A. in praise of B. in charge of C. in favor of D. in memory of
+【答案】：D
+【解析】：【详解】考查介词短语辨析。句意:在那里,人们建了一座大纪念碑来纪念他,他全心全意为人民服务。A. in praise of表扬……;B. in charge of负责……; C. in favor of支持,赞成……;D. in memory of为了纪念……。人们建立纪念碑就是为了“纪念”他。故选D。。
+
+
+【题干】：The man is gathering ideas for his new novel. A. 集合 B. 采摘 C. 积累 D. 收紧
+【答案】：C
+【解析】：【详解】考查词义猜测。句意:这个人正在为他的新小说集思广益。根据语境,这个人要写新小说,那么他首先要搜集,积累一些想法。C选项符合语境。故选C。。
+
+
+【题干】：It is difficult to _ one’s balance on an icy pavement. A. lose B. break C. have D. keep
+【答案】：D
+【解析】：【详解】考查动词词义辨析。句意:在结冰的路面上很难保持平衡。A. lose失去;B. break打破;C. have有;D. keep保持。结冰的路很滑,所以车“保持平衡”很难。故选D。。
+
+
+【题干】：The demands for fresh water for drinking and agriculture exceed _ is available A. Which B. where C. that D. what
+【答案】：D
+【解析】：【详解】考查宾语从句。句意:饮用水和农业用水需求超标。A. Which哪个;B. where哪儿;C. that(无意义);D. what什么,指代事物。分析句子可知,此处是宾语从句连接词,从句缺少主语,且代指物,应用连接代词what,故选D项。【点睛】本题考查宾语从句连接词。确定宾语从句连接词一般分为三步:分析从句成分;联系上文意思;考虑特殊情况。以本题为例: 1. 分析从句成分:从句_ is available缺少主语 2. 联系上文意思:本句意为“用于饮用和农业的淡水需求超过了可以获得的(淡水)”,指代物,用连接代词what 3. 考虑特殊情况:无 故用what,选D项。。
+
+
+【题干】：— Do you think the only way to truly know a person is to argue with him? — I can't agree more. When the argument is _ it reveals their character. A. in full swing B. in the air C. under the nose D. under the counter
+【答案】：A
+【解析】：【详解】考查介词短语辨析。句意:——你认为唯一可以真正了解一个人的方法是和他争论吗?——我非常同意。当争论全面展开时,它会揭露他们的性格。A. in full swing全面展开;B. in the air悬而未决;C. under the nose私下地;D. under the counter违法,走后门。根据it reveals their character.可知,此处用“全面展开”符合语境,故选A项。。
+
+
+【题干】：_ you make peace with who you are, you'll never be content with what you have. A. If B. Since C. When D. Until
+【答案】：D
+【解析】：【详解】考查连词辨析。句意:除非你能和真实的自己和平相处,否则你永远不会对已拥有的东西感到满足。A. If如果;B. Since自从,因为;C. When当;D. Until直到。until和后面的否定词never构成固定结构not…until…“直到……才”,故选D项。。
+
+
+【题干】：Each new crew member _ be provided with adequate health and safety protection, according to the Civil Aviation Regulations A. may B. will C. shall D. can
+【答案】：C
+【解析】：【详解】考查情态动词辨析。句意:根据民航条例,每个新船员都将被提供足够的安全和健康保护。A. may可能;B. will将要;C. shall将要;D. can能够,可以。此处考查shall的特殊用法,即shall用于二三人称表示,表示说话人给对方命令、警告、允诺或威胁,故选C项。【点睛】本题考查shall的用法 1. 用于第一人称征求对方的意见,如: What shall I wear on the journey? 我路上穿什么好呢? Shall we dance? 我们跳舞好吗? 2. 用于第二、三人称时表示说话人给对方命令、警告、允诺或威胁,如: She shall get her share. 她可以得到她的一份。 According to the traffic regulations, he shall get punished.根据交通法规,他会受到惩罚。。
+
+
+【题干】：Don’t leave any medicine on the table within _ of kids under five. A. stretch B. expand C. reach D. extend
+【答案】：C
+【解析】：【详解】考查名词词义辨析。句意:不要把药放在桌子上五岁以下儿童够得着的地方。A. stretch伸展,张开;B. expand扩大,扩张;C. reach手脚能够到的范围,区域;D. extend延伸,伸展。根据语境可知,此处是短语within reach of sb.“在某人够得着的范围之内”。故选C。。
+
+
+【题干】：One of the minners _ underground for a long time last week. A. was trapped B. have trapped C. has trapped D. were trapped
+【答案】：A
+【解析】：【详解】考查一般过去时的被动语态。句意:上周,其中一名矿工被困在地下很长时间。根据句意可知,此处应该是“被困在地下”,再结合时间状语last week可知,应用一般过去时的被动语态。故选A。。
+
+
+【题干】：Jenny _ have kept her word. I wonder why she changed her mind. A. must B. should C. need D. would
+【答案】：B
+【解析】：【详解】考查情态动词+have done。句意:詹妮本应该信守诺言的。我想知道她为什么改变主意。根据后半句I wonder why she changed her mind.可知,詹妮没有信守诺言,should have done sth.“本应该做某事却没做”符合句意。must have done过去一定做了;needn’t have done本没必要做某事却做了;would have done多用于虚拟语气,表示对过去事情的假设。故选B。【点睛】情态动词+have done 情态动词+have+done是历年高考的重点和难点之一,现将其用法总结归纳如下: must have done对过去的肯定推测译为“过去肯定做了……”。如: It must have rained last night, for the road was quite wet. 昨晚肯定下雨了,因为路面十分潮湿。 can’t / couldn’t have done 对过去的否定推测译为“过去不可能做了……”。如: He couldn’t have known the decision, but someone told him.他一定不知道这个决定,但是有人告诉他了。 could have done“本来能够做而没做”。如: You could have made greater progress, but you didn’t try your best.你本能够取得更大进步,但是你并不尽力。 may/might (not) have done“可能(没有)做过某事”。如: You may have dropped it when you were shopping in the market. 你或许是在买东西的时候掉了。 should /ought to have done“本来该做而没做”。如: You should have come to school if you were really serious about your study.要是你对待学习认真的话,你本应该来上学的。 needn’t have done“本来不必做却做了”。如: You needn't have telephone him, for he had known the result. 你本不必打电话给他,因为他已经知道结果。 如本题,句意:詹妮本应该信守诺言的。我想知道她为什么改变主意。根据后半句I wonder why she changed her mind.(我想知道她为什么改变主意)可知,詹妮没有信守诺言,should have done sth.“本应该做某事却没做”符合句意。must have done过去一定做了;needn’t have done本没必要做某事却做了;would have done多用于虚拟语气,表示对过去事情的假设。故选B。。
+
+
+【题干】：—How wide is the Yellow River? —That _ from where to where. A. depends B. changes C. refers D. lies
+【答案】：A
+【解析】：【详解】考查动词词义辨析。句意:——黄河有多宽?——这取决于从哪里到哪里。A. depends取决于;B. changes变化,改变;C. refers提到;D. lies躺,说谎。结合句意可知,黄河的宽度在不同的地方宽度不一样,因此黄河的宽度取决于在哪个地方。故选A。。
+
+
+【题干】：What do you feel when _ to yourself after your mobile phone battery runs out in the middle of a call? A. leaving talking B. left talking C. being leaving talking D. being left talking
+【答案】：B
+【解析】：【详解】考查省略句和现在分词作宾补。句意:你的手机电池在通话过程中耗尽,让你自言自语的时候你是什么感受?leave sb. doing sth.“使某人处于做某事的状态”,宾语you提前做主语,因此用被动语态。所以句中when引导时间状语从句的完整形式是when you are left talking to yourself,从句的主语与主句的主语一致,且有be动词,因此省略从句的主语和be动词you are,构成when left talking to yourself。故选B。【点睛】状语从句的省略需要同时具备下列两个条件: ①主句和从句的主语一致,或从句主语为it; ②从句主要动词是be的某种形式。从句中的主语和be动词常可省略。例如: When (the museum is) completed , the museum will be open to the public next year . 当博物馆完成,该博物馆将于明年向公众开放。 He’ll go to the seaside for his holiday if (it is ) possible. 如果可能,他将去海边度假的话 状语从句的省略现象常存在于以下五种状语从句中: ①由if, unless等引导的条件状语从句; ②由although, though, even if / though等引导的让步状语从句; ③由when, while, as, before, after, until / till等引导的时间状语从句; ④由as, as if等引导的方式状语从句; ⑤由as, than等引导的比较状语从句。 在本题中,句意:你的手机电池在通话过程中耗尽,让你自言自语的时候你是什么感受?leave sb. doing sth.使某人处于……的状态,宾语you提前做主语,因此用被动语态。所以句中when引导时间状语从句的完整形式是when you are left talking to yourself,从句的主语与主句的主语一致,因此省略从句的主语和be动词you are,构成when left talking to yourself。故选B。。
+
+
+【题干】：It's _ great honour for us to fight for _honour of our country. A. a; / B. a; the C. /; the D. a; a
+【答案】：B
+【解析】：【详解】考查冠词。解题步骤:1.确定第一个空:分析可知,此句中名词honour应是指之后的“to fight for _honour of our country”这件事,抽象名词具体化,应用不定冠词作限定词,且honour之前有形容词great修饰,选择a。2.确定第二个空:分析可知,空后的honour之后有of介词短语“of our country”修饰,应表示特指,应用定冠词the作限定词。句意:为祖国的荣誉而战是我们无上的光荣。故选B项。。
+
+
+【题干】：Some groups still have difficulties _ access _ social services. A. gain; in B. gaining; to C. to gain; to D. gaining; of
+【答案】：B
+【解析】：【详解】考查非谓语动词和介词。句意:一些群体仍然难以获得社会服务。第一空根据短语have difficulties (in) doing sth.,表示“做某事有困难”;第二空根据短语access to表示“有权使用”。综上,故选B。。
+
+
+【题干】：_ herself with routine office tasks, she had no time to attend to her children. A. Occupying B. Occupied C. Being occupied D. To be occupied
+【答案】：A
+【解析】：【详解】考查非谓语动词。句意:她忙于日常的办公室工作,没有时间照顾孩子。分析句子结构可知occupy在句中作非谓语动词,与逻辑主语she构成主动关系,故用现在分词occupying。故选A。。
+
+
+【题干】：The young couple wrote to Mr Grand to_his warm reception during their visit to his farm. A. acknowledge B. update C. consult D. acquire
+【答案】：A
+【解析】：【详解】考查动词词义辨析。句意:这对年轻夫妇写信给Grand先生,感谢他在他们参观他的农场时给予的热情接待。A. acknowledge答谢;B. update更新;C. consult咨询;D. acquire获得,取得。结合句意,故选A。。
+
+
+【题干】：A hot cup of tea on such a cold night was a real _ to me. A. respect B. moment C. comfort D. fortune
+【答案】：C
+【解析】：【详解】考查名词词义辨析。句意:在这样一个寒冷的夜晚喝一杯热茶对我来说是一种真正的安慰。A. respect尊重;B. moment时刻;C. comfort安慰,舒适;D. fortune运气。在寒冷的夜晚喝一杯热茶是一种“安慰”。故选C。。
+
+
+【题干】：— Have you heard of Li Ziqi, a popular vlogger? —Definitely. How I wish I _ her, showing the world the wonderful culture of China A. am B. were C. will be D. had been
+【答案】：B
+【解析】：【详解】考查虚拟语气。句意:——你听说过李子柒吗,一个很受欢迎的视频博主?——当然。我多么希望我是她,向世界展示中国精彩的文化。动词wish后面的宾语从句用虚拟语气,此处与现在的事实相反,句子用一般过去时态,be动词在虚拟语气中的过去式是were。故选B。。
+
+
+【题干】：Economists have long focused on the concept of education as an investment that, on average _ well over the long term, for both individual students and society as a whole A. gets around B. makes up C. holds on D. pays off
+【答案】：D
+【解析】：【详解】考查动词短语辨析。句意:长期以来,经济学家一直将教育视为一种投资,从长期来看,这种投资对学生个人和整个社会都有良好的回报。A. gets around到处走走,传开来;B. makes up编造,组成;C. holds on 不挂断电话,继续;D. pays off得到回报。此处指最终会“得到回报”。故选D。。
+
+
+【题干】：Nowadays the growth of food delivery apps in China _ the country with takeout containers and plastic A. have drowned B. has been drowned C. is drowning D. are drowned
+【答案】：C
+【解析】：【详解】考查现在进行时态和主谓一致。句意:如今,中国外卖app的发展让整个国家被外卖盒和塑料淹没。根据Nowadays可知句子用现在进行时态,再根据句子主语growth是不可数名词,谓语动词用单数第三人称形式。故选C。。
+
+
+【题干】：More attention on digital books reflects a rising trend in the industry towards _ many are calling "digital first" A. which B. that C. what D. where
+【答案】：C
+【解析】：【详解】考查宾语从句。句意:对电子书的更多关注反映出该行业正朝着许多人所说的“数字优先”的方向发展。此处介词towards后面是宾语从句,连接词既引导宾语从句又要做宾语从句谓语动词的宾语。故选C。。
+
+
+【题干】：—I’m so annoyed! And I just don’t understand why Mike is constantly speaking ill of me. —Don’t take it _.He treats everyone the same A. thoroughly B. individually C. accurately D. personally
+【答案】：D
+【解析】：【详解】考查副词词义辨析。句意:——我太生气了!我就是不明白为什么迈克总是说我的坏话。—— 听完不要生气。他对每个人都一样。A. thoroughly 彻底地;B. individually个别地,单独地;C. accurately精确地;D. personally亲自地。习惯用语:Don’t take it personally.“ 听完不要生气。”故选D。。
+
+
+【题干】：— Do you know that the latest AI technology can read minds? —Yes, but don't you think that allowing data to be taken directly from our brains is like _ giving rise to unpredictable consequences A. killing the fatted calf B. taking things as they come C. opening Pandora’s box D. putting the cart before the horse
+【答案】：C
+【解析】：【详解】考查固定短语。句意:——你知道最新的人工智能技术能读懂人的思想吗?——是的,但是你不认为允许数据直接从我们的大脑中获取信息就像打开了潘多拉的盒子一样,会导致不可预知的后果。A. killing the fatted calf最好的款待;B. taking things as they come 既来之则安之;C. opening Pandora’s box打开潘多拉的盒子;D. putting the cart before the horse本末倒置。故选C。。
+
+
+【题干】：The queen bee lives for a(n)_of four to six years. A. estimate B. common C. calculation D. average
+【答案】：D
+【解析】：【详解】考查名词词义辨析。句意:蜂后平均活4—6年。A. estimate估计;B. common共同之处;C. calculation计算;D. average平均。根据four to six years.可知,此处用“平均”符合语意,故选D项。。
+
+
+【题干】：It is required to_ an access bridge over a motorway. A. land B. explore. C. construct D. force
+【答案】：C
+【解析】：【详解】考查动词词义辨析。句意:要求在高速公路上建造一座人行天桥。A. land 着陆;B. explore探索;C. construct建造;D. force强制。根据 an access bridge over a motorway可知,此处用“建造”符合句意,故选C项。。
+
+
+【题干】：The teacher told us that water_ heat much longer than air. A. contains B. involves C. survives D. retains
+【答案】：D
+【解析】：【详解】考查动词词义辨析。句意:老师告诉我们水保持热量的时间比空气长得多。A. contains包含;B. involves涉及;C. survives幸存;D. retains保持。根据 heat much longer than air和常识可知,此处用“保持”符合句意,故选D项。。
+
+
+【题干】：Nearly a year after his_ from prison, he was still unable to sleep properly. A. expedition B. transformation C. link D. release
+【答案】：D
+【解析】：【详解】考查名词词义辨析。句意:从监狱释放差不多一年以后,他仍然睡不好。A. expedition远征;B. transformation改变;C. link连接;D. release释放。根据from prison, he was still unable to sleep properly意可知,此处用“释放”符合句意,故选D项。。
+
+
+【题干】：His parents died when he was young, so he was_by his aunt. A. taken up B. given up C. grown up D. brought up
+【答案】：D
+【解析】：【详解】考查动词短语辨析。句意:他的父母在他年轻时就去世了,所以他是由他阿姨抚养大的。A. taken up占据;从事;B. given up放弃;C. grown up成长,为不及物动词,所以无被动语态;D. brought up抚养,及物动词。根据“His parents died when he was young” 可知,父母早逝,他由阿姨抚养成人。故选D。。
+
+
+【题干】：I am very outgoing and have learned to _ to my disability. A. adopt B. adapt C. suit D. accustomed
+【答案】：B
+【解析】：【详解】考查动词词义辨析。句意:我很外向,已经学会了适应自己的残疾。A. adopt采取,收养;B. adapt使适应;C. suit相配,适合;D. accustomed使习惯。此处表示“适应”自己的残疾。故选B。。
+
+
+【题干】：—I think he is taking an active part in social work. —I agree with you _. A. in a way B. in many ways C. on the way D. in the way
+【答案】：A
+【解析】：【详解】考查词组。句意:——我认为他正在积极参加社会工作。——在某种程度上我同意你的看法。A. in a way在某种程度上;B. in many ways在许多方面;C. on the way在……路上;D. in the way妨碍,挡道。此处指在某种程度上同意对方的看法。故选A。。
+
+
+【题干】：A household robot was going to be _ by Larry’s wife, Claire. A. carried out B. sorted out C. figured out D. tested out
+【答案】：D
+【解析】：【详解】考查动词词组。句意:一个家用机器人将由拉里的妻子克莱尔进行测试。A. carried out实施,贯彻;B. sorted out把……分类;C. figured out明白,理解;D. tested out检测出。此处指对家用机器人进行测试。故选D。。
+
+
+【题干】：It was then _ Claire realized that Tony had opened the curtains of the front window. A. that B. when C. which D. who
+【答案】：A
+【解析】：【详解】考查强调句型。句意:就在那时,克莱尔意识到托尼打开了前窗的窗帘。此处是强调句型:It is/was +强调部分+that+其他。故选A。【点睛】浅谈强调句 1. 用It is/was...that/who...句型表示强调。 (1)陈述句的强调句型:It is/was+被强调部分(通常是主语、宾语或状语)+that/who(当强调主语且主语指人)+其它部分。 e.g. It was yesterday that he met Li Ping. (2)一般疑问句的强调句型:同上,只是把is/was提到it前面。 e.g. Was it yesterday that he met Li Ping? (3)特殊疑问句的强调句型:被强调部分(通常是疑问代词或疑问副词)+is/was+it+that/who+其它部分?e.g. When and where was it that you were born? 注:被强调的部分(通常是句子的主语、状语、宾语或宾语补足语)放在is/was的后面,如被强调的是人,则后面可用who,whom等代替。 2. not...until...句型的强调句: 句型为:It is/was not until+被强调部分+that+其它部分: e.g. 普通句:He didn't go to bed until/till his wife came back. 强调句:It was not until his wife came back that he went to bed. 3. 强调谓语动词:用助动词do, does或did加动词原形来强调谓语动词。注意:此种强调只用do/does和did,没有别的形式;过去时态用did,后面的谓语动词用原形。如:Do come early. 务必早来。He did send you a letter last week. 昨天他确实寄给你一封信。。
+
+
+【题干】：Now that you are in charge of the department, you are _ to carry out the plan. A. voluntary B. bound C. anxious D. ambitious
+【答案】：B
+【解析】：【详解】 考查形容词词义辨析。句意:既然你管理这个部门,你就必然要实施这个计划。A. voluntary自愿的;B. bound必定的;C. anxious焦虑的;D. ambitious有抱负的。根据句意可知,此处考查固定短语be bound to do sth.“必然要做某事”,故选B项。。
+
+
+【题干】：The actress readily _ the fact that her unbalanced diet was a major influence on her expanding figure. A. recommended B. evaluated C. acknowledged D. opposed
+【答案】：C
+【解析】：【详解】 考查动词词义辨析。句意:这个女演员欣然承认了这个事实,那就是她不均衡的饮食是影响她发胖身材的主要原因。A. recommended推荐;B. evaluated评价;C. acknowledged承认;D. opposed反对。根据句意以及readily可知,此处用“承认事实”符合语境,故选C项。。
+
+
+【题干】：—Do you think the weather will be fine this spring? —No, we are fortunate. The weatherman forecasts there will be several sand storms. A. if B. as C. though D. unless
+【答案】：D
+【解析】：【详解】 考查状语从句。句意:——你认为今年春天天气会好吗?——不,除非我们很幸运,否则的话今年春天不会有好天气。天气预报员预测将有几场沙尘暴。A. if如果;B. as正如;C. though虽然;D. unless除非。此处为条件状语从句,根据句意,表示“除非”应用unless。故选D。。
+
+
+【题干】：— What do you think of modern music? — It is often considered not as good as _ of the past. A. it B. this C. that D. one
+【答案】：C
+【解析】：【详解】 考查代词辨析。句意:——你认为现代音乐怎么样?——大家普遍认为没有过去的音乐好。A项,it 可以指物,也可以指人,还可作形式主语或形式宾语;B项,this 指空间上或时间上较近的事物;C项,that 指空间上或时间上较远的事物;也可指上文出现的不可数名词或单数可数名词,相当于 the one;D项,one 指可数名词所表示的一类人或事物中的任何一个。根据题意,此处应使用 that 指上文出现的不可数名词 music,故正确答案为C。故选C。。
+
+
+【题干】：Some people say more but do less _ others do the opposite. A. as B. when C. while D. because
+【答案】：C
+【解析】：【详解】 考查连词。句意:有些人说得多做得少,而有些人却恰恰相反。A. as因为;B. when在……时候;C. while(对比两件事物)……而;D. because因为。根据前句“Some people say more but do less”有些人说得多做得少,和后句“others do the opposite”其他人则正好相反,可以知道前后是转折关系,所以选择 while,在这里它的意思是前者与后者的比较,意为“然而”。故选C项。 【点睛】 while用作连词时,有以下几种含义: 1.意为“当……时候,和……同时”,引导时间状语从句: 2.意为“虽然,尽管”,引导让步状语从句。 3.连接两个并列句子,表示“对比”关系。。
+
+
+【题干】：Not only the students but also the teacher _ against the plan in yesterday's meeting. A. is B. was C. are D. were
+【答案】：B
+【解析】：【详解】 考查主谓一致和动词时态。句意:在昨天的会议上,不仅学生,而且老师都反对这项计划。在由not only…but (also)…连接的并列成分作主语时,其谓语通常要与靠近的主语保持一致,本句中谓语应与the teacher保持一致,用单数,且根据后文in yesterday's meeting可知应用一般过去时was。故选B。。
+
+
+【题干】：People were to find that some species were going extinct, which was a _ trend. A. astonishing; disturbing B. astonished; disturbed C. astonishing; disturbed D. astonished; disturbing
+【答案】：D
+【解析】：【详解】 考查形容词词义辨析。句意:人们惊讶的发现有些物种正在灭绝,这是一个令人不安的趋势。astonished做形容词,译为“感到十分惊讶,吃惊”,过去分词形式的形容词一般主语为人或修饰人的感受。本句的主语为people。disturbing做形容词,译为“令人不安的,引起恐慌的”,可做定语和表语,现在分词形式的形容词一般主语指物或修饰物。本句中修饰trend。故选D。。
+
+
+【题干】：Many nurses, _ were retired, headed for affected areas to help. A. most of which B. most of whom C. most of them D. most of who
+【答案】：B
+【解析】：【详解】考查定语从句。句意:许多护士,其中大多数是退休的,前往灾区提供救援。分析句子结构可知,空处引导一个非限制性定语从句,先行词是Many nurses,指人,关系词在从句中作介词的宾语,故选most of whom,故选B项。。
+
+
+【题干】：Nowadays many companies make it_for every job applicant to take a physical examination before they are employed. A. incredible B. compulsory C. transparent D. controversial
+【答案】：B
+【解析】：【详解】 考查形容词辨析。句意:现在很多公司强制每一个工作面试者在被雇佣之前做身体检查。A.incredible 难以置信的;B.compulsory 强制的;C.transparent 透明的; D.controversial有争议的。根据 take a physical examination before they are employed.可知,检查身体是强制性的。故选B。。
+
+
+【题干】：You_have scolded him for his poor performance.After all,he had done his best. A. wouldn’t B. couldn’t C. mustn’t D. shouldn’t
+【答案】：D
+【解析】：【详解】 考查情态动词。句意:你不应该因为他表现不好而责备他。毕竟,他已经尽力了。A. wouldn’t “不会”;B. couldn’t 不可能;C. mustn’t 禁止,不允许;D. shouldn’t不应该。固定搭配:shouldn’t have done“本不应该做而做了”。此处指“本不应该责备他而责备了”,故选D。。
+
+
+【题干】：Scientists are making every effort to go beneath the surface of the data to the hidden possibilities. A. release B. reveal C. reflect D. record
+【答案】：B
+【解析】：【详解】考查动词词义辨析。句意:科学家们正在尽一切努力,深入数据的表面之下,揭示隐藏的可能性。A. release发布;B. reveal揭示;C. reflect反映;D. record记录。根据“ go beneath the surface of the data ”可知,科学家深入数据表面的目的是为了揭示其隐藏的可能性。故选B项。。
+
+
+【题干】：Personal computer are no longer something beyond the ordinary people; they are available these days. A. specifically B. instantly C. readily D. freely
+【答案】：C
+【解析】：【详解】考查副词词义辨析。句意:私人电脑已不再是普通人无法企及的东西;如今,它们已唾手可得。A. specifically特别地;B. instantly立即;C. readily轻易地;D. freely免费地。根据Personal computer are no longer something beyond the ordinary people.可知,电脑已经普及,如今人们很轻易地得到。故选C项。。
+
+
+【题干】：It is time for the West to learn from China's responsible efforts to fake news. A. weed out B. work out C. turn out D. bring out
+【答案】：A
+【解析】：【详解】考查动词短语辨析。句意:现在是西方向中国学习的时候了,中国是一个负责任的国家,致力于消除假新闻。A. weed out消除;B. work out锻炼;C. turn out结果是;D. bring out呈出(某物)。根据“responsible efforts 和fake news.”可知, 中国致力于消除假新闻。故选A项。。
+
+
+【题干】：—I just love living here in London. I mean, the culture, the parks, the restaurants... — , it's not the cheapest place to live. A. To put it another way B. To be fair C. To put it simply D. To make things worse
+【答案】：B
+【解析】：【详解】考查交际用语。句意:——我就是喜欢住在伦敦。我是说,文化、公园、餐馆……——说句公道话,伦敦并不是生活成本最低的城市。A. To put it another way换一种方式;B. To be fair说句公道话;C. To put it simply简单地说;D. To make things worse。更糟糕的是。根据“it's not the cheapest place to live.”可知,伦敦并不是生活成本最低的城市是一句句公道话。故选B项。。
+
+
+【题干】：The boy, though up in the countryside, soon adapted himself to the way of life in this big city. A. bringing B. having brought C. brought D. being brought
+【答案】：C
+【解析】：【详解】考查状语从句的省略。句意:这个男孩虽然在农村长大,但很快就适应了这个大城市的生活方式。分析句子可知,本句为状语从句的省略,其完整形式为:though the boy was brought up ,因主句和从句主语相同,且从句动词为 be动词,所以主语和be一同省略。故选C项。。
+
+
+【题干】：Looking back on his youth, he finally realized that his pain taking effort in Senior Three his bright future. A. shaped B. had shaped C. was going to shape D. was to shape
+【答案】：D
+【解析】：【详解】考查时态。句意:回首自己的青春,他终于意识到,自己在高三的拼搏注定是为了塑造自己美好的未来。分析句子可知,本句为过去将来时,be going to do表示将要发生的事情或打算最近要进行的动作,不符合句意。be to do表示 “命运”,将来必然要发生的事,译作 “注定……”。符合句意。故选D项。【点睛】be +动词不定式(即be + to do sth.)的用法如下: 1.表示按计划或安排要做的事。例如: When are you to leave for home?你什么时候回家? 2.表示“应该”,相当于should, ought to。例如: You are to report to the police.你应该报警。 3.表示“必须”,相当于must, have to。例如: The letter is to be handed to him in person.这封信必须亲手交给他。 。 4.表示“想,打算”,相当于intend, want。例如: If we are to be there before ten, we’ll have to go now.如果我们要在十点前到,我们现在就得走。 5.用于第一人称疑问句,表示征求对方意见。例如: Am I to go on with the work?要我继续完成这项工作吗? 6.用于否定句,表示“禁止”,相当于mustn’t。例如: The books in this room are not to be taken outside.这个室内的书籍不得带出室外。 7.表示“可以,可能”,相当于may, can。例如: The news is to be found in the evening paper.这条消息可以在晚报上见到。 8.were to do sth.用于if或even if / even though从句中,表示对未来的假设。例如: If I were to tell you that I killed him, would you believe me?要是我告诉你是我杀了他,你会相信吗? 9.be to blame(该受责备,对某坏事应负责任)与be to let(待出租)两种结构中,用不定式的主动形式表示被动含义。例如: Which driver is to blame for the accident?这事故是哪个司机的责任?。
+
+
+【题干】：laborers can be released from ting and repetitive task on the production line by industrial robots. A. Artificial B. Authentic C. Innovative D. Manual
+【答案】：D
+【解析】：【详解】考查形容词词义辨析。句意:工业机器人可以将体力劳动者从生产线上的繁重劳动中解脱出来。A. Artificial人造的;B. Authentic真实的;C. Innovative创新的;D. Manual体力的。这里指工业机器人将代替体力劳动者,从而将体力劳动者繁重劳动中解脱出来。故选D项。。
+
+
+【题干】：—-What do you think of Steven Hawking? —-Despite his disabled body, he was a man of scientific nature, _worthy of admiration. A. one B. who C. that D. this
+【答案】：A
+【解析】：【详解】考查代词。句意:——你认为霍金怎么样?——尽管身体残疾,但他是一个具有科学天性的人,一个值得尊敬的人。A. one一个,代词;B. who谁;C. that那个;D. this这个。分析句子可知,此处用one作为a man of scientific nature的同位语,worthy of admiration作为one的后置定语,故选A项。。
+
+
+【题干】：The Internet gives people the chance to have the information they look forward _to them quickly and cheaply. A. to deliver B. to be delivered C. to delivering D. to delivered
+【答案】：D
+【解析】：【详解】考查非谓语动词和固定短语。句意:互联网让人们有机会快速廉价地得到他们所期待的信息。分析句子可知,该空考查了两个知识点,第一个是固定短语look forward to“期待”,该短语作为定语从句的谓语动词,省略了的关系词代词which/that作为to的宾语;第二个考查非谓语动词作宾补,逻辑主语information和deliver之间是被动关系,故用过去分词,构成固定结构have sth. done“让某事被做”,综上所述,故选D项。【点睛】本题考查使役动词have的用法 Have作为使役动词时常用的结构有have sb./sth. do sth.,让某人/某物做某事;have sb./sth. done让某人/某物被;have sb./sth. doing让某人/某物一直……,其中do, done, doing是宾语补足语,例如: The boss often has them work for 14 hours a day.老板常常让他们每天工作14小时。 We had the machine mended just now.我们刚才情人把机器修好了。 Don’t have the baby crying.不要让婴儿一直哭。。
+
+
+【题干】：—-Mr. Smith is said _. —-Yes. He worked in our factory for 35 years! What a good worker! A. to retire B. to have been retiring C. to have retired D. to be retired
+【答案】：C
+【解析】：【详解】考查非谓语动词。句意:——据说史密斯先生已经辞职了。——是的。他在我们公司工作了35年。他真的是一个好员工。此处考查sb./sth. is said to do“据说某人/某事……”,再结合语境可知史密斯辞职发生在谓语动词said之前,应用不定式的完成式to have done,故选C项。【点睛】本题考查不定式的完成式to have done,表不定式的动作发生在谓语动作之前,例如: He claimed to have seen an UFO. 他宣称看到过一个不明飞行物。 His suit is loose. He seems to have lost weight. 他的西装是宽松的。他似乎已经减了肥。 He is said to have made a fortune in 1897. 据说他在1897年发了一笔财。。
+
+
+【题干】：—-Where was the TV series Good Bye, My Princess made? —-It was in the Hengdian Movie & Television Base _ many antique buildings stand. A. where B. what C. that D. how
+【答案】：A
+【解析】：【详解】考查定语从句。句意:——电视连续剧“再见,我的公主”是在哪里拍摄的呢?——是在横店影视基地拍摄的,那里有很多古建筑。A. where关系副词;B. what什么;C. that关系代词;D. how如何。分析句子可知,此处是定语从句关系词,先行词the Hengdian Movie & Television Base在从句中充当地点状语,应用关系副词where,故选A项。【点睛】本题考查定语从句关系词。确定定语从句关系词一般分为三步:找出先行词;分析先行词在从句中充当什么成分。以本题为例: 找出先行词:the Hengdian Movie & Television Base 分析先行词在从句中充当什么成分:先行词在从句_ many antique buildings stand.中充当地点状语,应用关系副词where 考虑特殊情况:无 故选A项。。
+
+
+【题干】：About 10 bike-sharing companies have gone broke since last September, _failing to return deposits to users and their deserted bicycles crowding sidewalks. A. some of which B. some of them C. of which some D. which of them
+【答案】：B
+【解析】：【详解】考查独立主格。句意:自去年九月起大约有10家共享单车公司倒闭,他们中有一些没有归还使用者的押金,并且他们废弃的自行车堆满了人行道。分析句子可知,逗号之后是独立主格结构,用them代指上文的bike-sharing companies,故选B项。【点睛】本题考查独立主格结构 独立主格结构的构成: 名词(代词)+现在分词、过去分词; 名词(代词)+形容词; 名词(代词)+副词; 名词(代词)+不定式; 名词(代词) +介词短语构成。 独立主格结构的特点: 1)独立主格结构的逻辑主语与句子的主语不同,它独立存在。 2)名词或代词与后面的分词,形容词,副词,不定 式,介词等是主谓关系。 3)独立主格结构一般有逗号与主句分开。 例如: The test finished, we began our holiday.考试结束了,我们开始放假。 The president assassinated, the whole country was in deep sorrow.总统被谋杀了,举国上下沉浸在悲哀之中。 Weather permitting, we are going to visit you tomorrow.如果天气允许,我们明天去看你。 This done, we went home.工作完成后,我们才回家。 The meeting gone over, everyone tired to go home earlier.会议结束后,每个人都想早点回家。 He came into the room, his ears red with cold.他回到了房子里,耳朵冻坏了。 He came out of the library, a large book under his arm.他夹着本厚书,走出了图书馆。
+
+
+【题干】：An interviewee should be good at grasping every opportunity _he is supposed to show his best self to others. A. when B. where C. that D. which
+【答案】：B
+【解析】：【详解】考查定语从句。句意:一个应聘者应该抓住每一个向别人展示最好自己的机会。先行词opportunity在从句中是抽象地点,其后所跟的定语从句往往是陈述这些活动或情况中所发生的事情,应用关系副词where引导该定语从句。故选B。。
+
+
+【题干】：We hurriedly ended our meeting, leaving many problems _. A. to be settled B. to settle C. settled D. having settled
+【答案】：A
+【解析】：【详解】考查非谓语动词。句意:我们匆匆忙忙地结束了会议,留下了很多问题等待解决。根据句意可知,这些问题是等待解决的,故用不定式作宾语补足语,不定式表示未发生的动作;problems与settle之间是被动关系,所以要用被动语态。故选A。。
+
+
+【题干】：Most spending that results in debt is like a drug: a quick hit of pleasure that _only to drag you down for years to come. A. sets off B. shows off C. takes off D. wears off
+【答案】：D
+【解析】：【详解】考查动词短语辨析。句意:大多数导致债务的消费就像毒品一样,很快快感就会消退,只会让你在接下来的几年里萎靡不振。A. sets off出发,引起,动身;B. shows off炫耀,卖弄;C. takes off起飞,脱下,离开;D. wears off磨损,逐渐消逝。根据空格后的“only to drag you down for years to come”并结合选项可知,此处指很快快感就会消退。故选D。。
+
+
+【题干】：-Sorry, sir, but I'm still very concerned about my daughter. -Relax. You'll be glad to see she _to her new life the next time you come. A. accommodated B. has accommodated C. will be accommodating D. will have accommodated
+【答案】：D
+【解析】：【详解】考查时态。句意:—对不起,先生。但是我还是很担心我的女儿。—放轻松。你下次来的时候,会很高兴看到她已经适应了她的新生活。根据时间状语从句next time you come.可知,此处表示的是将来某个时刻已经完成的动作,应该用将来完成时。故选D。。
+
+
+【题干】：-Great! You look smart in that suit. -My mother gave it to me for the Spring Festival. You know, _. A. it is the thought that counts B. beauty is in the eye of the beholder C. each bird loves to hearhimself sing D. the outsider sees the most of the game
+【答案】：A
+【解析】：【详解】考查情景交际。句意:——太好看了!你穿那件衣服真帅气!——我妈妈春节的时候给我的。你知道的,它物有所值。A.物超所值 ;B.情人眼里出西施 ;C.每只鸟都喜欢听自己唱歌; D.旁观者清。根据“You look smart in that suit.”并结合语境可知,此处要用物超所值。故选A。。
+
+
+【题干】：The good thing about children is that they _ very easily to new environments. A. apply B. adopt C. attach D. adapt
+【答案】：D
+【解析】：【详解】考查动词词义辨析。句意:孩子们的优点是他们很容易适应新环境。A. apply申请;B. adopt采取;C. attach附上;D. adapt适应。根据后文very easily to new environments可知是适应(adapt)新环境。故选D。。
+
+
+【题干】：I can’t see my old grandparents _alone in the country, so I will have them _ with me in the city at present. A. leave; stay B. left; stay C. leaving; to stay D. left; to stay
+【答案】：B
+【解析】：【详解】考查非谓语动词和动词用法。句意:我不能看到我的老祖父母独自留在乡下,所以我现在要让他们和我一起住在城里。第一空为过去分词作宾语补足语修饰grandparents;第二空为have sb. do sth. 结构,表示“让某人做某事”,该处have是使役动词。故选B。。
+
+
+【题干】：My sister was against my suggestion while my brother was _it. A. in honor of B. in favor of C. in search of D. in memory of
+【答案】：B
+【解析】：【详解】考查介词短语辨析。句意:我姐姐反对我的建议,而我哥哥却赞成。A. in honor of向……致敬;B. in favor of支持,赞成;C. in search of搜索;D. in memory of纪念。while此处表示前后对比,姐姐反对,哥哥却赞成(in favor of)。故选B。。
+
+
+【题干】：He urged that she _ the Great Wall on Monday. A. would visit B. shall visit C. visit D. visited
+【答案】：C
+【解析】：【详解】考查虚拟语气。句意:他极力主张她星期一去游览长城。urge表示“极力主张,强烈要求”时,后跟从句需用虚拟语气,结构为should +动词原形,其中should 可省略。故选C。【点睛】urge的用法归纳和词义辨析 urge的用法: urge的用法1:urge的基本意思是“力劝”“敦促”,指外部或内部的影响或压力激励某人达到明确的目的。引申可表示“强烈要求”等。 urge的用法2:urge可以接名词、动名词或that从句作宾语,从句中的谓语动词多用虚拟式。有时也可接由动词不定式充当补足语的复合宾语。 urge的用法3:urge还可用作名词,意为“强烈的愿望”。 例如:He has an urge to become a film star.他非常希望成为电影明星。 urge的词汇辨析: induce,persuade,urge,convince,counsel,coax这些动词均有“劝说,劝导,劝诱”之意。 induce 指用讲道理来使某人做某事。 persuade 普通用词,指通过劝说、感情交流等而使对方做劝说者所希望的事。 urge 语气强,指不断地热情地规劝诱导。 convince 指凭行动、事实或言语使他人从思想感情上信服。 counsel 较正式用词,指对一些较重大事情所提出的劝告。有时也用于非正式场合,但仍强调严肃的一面。 coax 指用好话善意或耐心劝诱、哄骗某人做某事。。
+
+
+【题干】：On Halloween, children in America like to _ as ghosts to frighten people. A. take up B. make up C. dress up D. turn up
+【答案】：C
+【解析】：【详解】考查动词短语辨析。句意:万圣节,美国的孩子们喜欢装扮成鬼来吓唬人。A. take up占据,从事;B. make up弥补,构成;C. dress up打扮;D. turn up出现。由语境可知,此处指万圣节美国孩子会扮成鬼吓人,dress up as意为“打扮成”符合语境。故选C项。。
+
+
+【题干】：_ our food and water running out, we had to find a way to get some. A. Because B. Since C. Without D. With
+【答案】：D
+【解析】：【详解】考查with复合结构。句意:因为我们的食物和水都用完了,我们得想办法弄点来。分析句子可知,逗号前面的内容在句中做原因状语,“with /without+宾语(名词)+现在分词”复合结构可在句中做状语,表伴随、原因、时间、条件、方式等,由语境可知,此处用表肯定的with。故选D项。【点睛】复合结构“with/without +宾语(名词)+宾语补足语”是一个很有用的结构,它在句中主要用作状语,表示伴随、原因、时间、条件、方式等;其中的宾语补足语可以是名词、形容词、副词、现在分词、过去分词、不定式、介词短语等。如: (1) with+宾语(名词)+形容词 (2) with+宾语(名词)+副词 (3) with +宾语(名词)+介词短语 (4) with+宾语(名词)+现在分词 (5) with +宾语(名词)+过去分词 (6) with +宾语(名词)+动词不定式 (7) with +宾语(名词)+名词 在本题中,此处用“with /without+宾语(名词)+现在分词”复合结构可在句中做状语,此处用表肯定的with。故选D项。。
+
+
+【题干】：As a rough estimate, this room is _ that. A. three times the size B. three times as the size of C. the size three times of D. three times the size of
+【答案】：D
+【解析】：【详解】考查倍数表达。句意:粗略估计,这个房间是那个房间的三倍大。由语境可知,此处指这个房间是那个房间的三倍大,用倍数表达法之一“主语+谓语+倍数+ the size of sth.”,three times the size of正确。故选D项。【点睛】倍数的四种表达方式: 1. 主语+谓语+倍数+ as + adj./adv. + as sth. 2. 主语+谓语+倍数+ the size of sth. 3. 主语+谓语+倍数+比较级+than sth. 4. 主语+谓语+比较级+than sth.+ by +倍数 在本题中,考查倍数第2个表达方式,只有three times the size of正确。故选D项。。
+
+
+【题干】：When he was there, he _ go to that tea house at the corner when he was free everyday. A. had better B. might C. would D. should
+【答案】：C
+【解析】：【详解】考查情态动词辨析。句意:他在那儿的时候,每天有空的时候都会去拐角处的茶馆。A. had better不得不;B. might也许;C. would老是;D. should应该。由语境可知,“每天有空时去茶馆”是过去的习惯性动作,would可用于表示过去的习惯或过去经常发生的动作或过去的规律性动作,后接动词原形。故选C项。。
+
+
+【题干】：We _ have bought so much food now that Suzie won’t be with us. A. may not B. can’t C. mustn’t D. needn’t
+【答案】：D
+【解析】：【详解】考查情态动词辨析。句意:既然Suzie不在我们身边,我们就没必要买那么多食物了。now that(既然),表原因;needn’t have done (过去)本没必要做(却已经做了),may not have done可能没做过,can’t have done不可能已做过,mustn’t have done (原先)一定没做过。全句表达对过去没必要的事却做了的一种遗憾,所以用needn’t have done。故选D项。。
+
+
+【题干】：We have received an order that we _ the lab for a couple of days. A. mustn’t use B. not use C. can not use D. may not use
+【答案】：B
+【解析】：【详解】考查虚拟语气。句意:我们接到命令,几天内不使用这个实验室。如果是order/command/advice/suggestion等表示“命令/建议/要求”等名词的同位语从句,则从句必须使用虚拟语气,即从句的谓语动词由“(should)+ 动词原形”构成,且should经常被省略,所以是(should)not use。故选B项。。
+
+
+【题干】：Beyond, a famous rock band, played its last concert in 2005 and then it officially _ in Singapore. A. broke away B. broke off C. broke up D. broke out
+【答案】：C
+【解析】：【详解】考查动词短语辨析。句意:Beyond,一个著名的摇滚乐队,在2005年举行了最后一场演唱会,然后在新加坡正式解散。A. break away突然离开;B. break off分离,脱离;C. break up解散;D. break out爆发。根据played its last concert in 2005可知,这个乐队解散了。故选C。。
+
+
+【题干】：This phrase doesn’t just describe work, but can describe any situation _ someone is very busy. A. where B. when C. that D. which
+【答案】：A
+【解析】：【详解】考查定语从句。句意:这个短语不仅可以用来描述工作,还可以用来描述某人非常忙的任何情况。分析句子可知,空后面为限定性定语从句,修饰先行词situation,关系词在从句中做地点状语。故选A。。
+
+
+【题干】：He decided to have a look at the house and see if it might be worth _. A. to buy B. to be bought C. buying D. being bought
+【答案】：C
+【解析】：【详解】考查非谓语动词。句意:他决定看一看房子,看看是否值得买。固定短语:be worth doing意为“某事值得做”,后接动名词用来表被动含义。故选C。。
+
+
+【题干】：There are _ 100 volunteers. We don’t need more for this activity. A. fewer than B. less than C. no more than D. no less than
+【答案】：D
+【解析】：【详解】考查介词短语辨析。句意:有不少于100名志愿者了。这次活动我们不需要更多了。A. fewer than少于;B. less than小于;C. no more than至多;D. no less than不少于。根据We don’t need more for this activity.可知,我们已经有不少于100名志愿者了。故选D。。
+
+
+【题干】：He began to run _ restaurant after he was out of _ work. A. a; the B. a; / C. /; / D. the; the
+【答案】：B
+【解析】：【详解】考查冠词。句意:他失业后开始经营一家餐馆。分析句子可知,restaurant是可数名词,而且泛指,故用a修饰,be out of work为固定词组意为“失业”,work前不用冠词。故选B。。
+
+
+【题干】：The policeman asked _ if they had seen the accident happen. A. passer-by B. passers-by C. passer-bys D. passers-bys
+【答案】：B
+【解析】：【详解】考查名词复数。句意:警察问过路人是否看到了事故的发生。根据语法可知, “可数名词+介词(短语)”构成的复合名词变复数时,把前面的名词变复数,故选B。。
+
+
+【题干】：Nowadays people rely increasingly_the Internet _ information. A. on; on B. upon; with C. on; of D. on; for
+【答案】：D
+【解析】：【详解】考查介词辨析。句意:现在人们越来越依赖互联网获取信息。依赖于是rely on,为了用介词for,故选D。。
+
+
+【题干】：All bad things must come to_end, _ terrible an experience is. A. the; whatever B. an; however C. /; how D. a; what
+【答案】：B
+【解析】：【详解】考查冠词和让步状语从句。句意:无论多可怕的经历,所有坏事必将结束。第一个空come to an end“结束”为固定短语,第二个空however加形容词,表示无论多么,这是一个让步状语从句,故选B。。
+
+
+【题干】：Tang said that at the beginning of the outbreak of the virus, there was a time _ they had two or three deaths at the hospital every day, _deeply worried medics. A. that; that B. which; when C. when; which D. which; which
+【答案】：C
+【解析】：【详解】考查定语从句。句意:唐说,在病毒爆发之初,有一段时间医院每天有2例或3例死亡,这让医生们深深地担忧。第一个空time是先行词,在定语从句中做时间状语,第二个空指代的是前面的医院每天死亡2人或3人,这件事令人担忧,逗号后是非限制性定语从句,缺少主语,不能用that,只能用which。故选C。【点睛】定语从句中的关系词选择,可考虑以下几点: 1、看清楚先行词的意义,就是理清先行词是指人、指物、时间、地点、原因。指物时不能用who或whom,指人时通常不用which等等。 2、看清楚关系词的句法功能,就是理清关系词是担任什么句子成分,是作主语还是宾语、是作定语还是状语等等。作定语通常用whose,有时也用which。作状语要用when, where, why。 3、看清楚定语从句的种类,就是理清是限制性定语从句还是非限制性定语从句。that、why通常不引导非限制性定语从句。 4、看清楚文体,就是理清是正式文体,还是非正式文体。是书面语体还是口语体。 如本小题,本句为定语从句,第一个空修饰先行词time,且先行词在从句中做状语,指时间,故应用关系副词when。第二个空指代的是前面的每天医院死亡2人或3人,这件事令人担忧,逗号后是非限制性定语从句,缺少主语,不能用that,只能用which。故选C。。
+
+
+【题干】：Believe it or not, it _great courage to tell the truth. A. pays B. takes C. costs D. spends
+【答案】：B
+【解析】：【详解】考查动词词义辨析。句意:信不信由你,说实话需要很大的勇气。A. pay支付;B. takes花费;C. costs 花费;D. spends花费。It takes sb +时 间 to do 表示“花了某人多长时间去做某事”。故选B。【点睛】1. take,这个词常用语“花时间”,而且经常用到 it 作为形式上的主语,跟在后面的 “to…”才是真主。先看个例子: It takes me one hour to read English every day. 真正的主语是 to read English,“读英语这件事,每天花费我一个小时。注意 it 是单三,时间是每天,take要加s。 用 it 作为形式主语,是西方人的思维习惯决定,如果把“to read English”放在前面当主语,不符合西人的习惯。 It took us three hours to get to the village.到达那个村庄,花了我们三个小时。 2. spend 在表示花费的时候,常常跟 on 和 doing(动名词)。我们看例子: She spendsa lot of money on books.她花好多钱买书上。 这里spend加 s 表示 她“平时”就是这样的,on 后面直接跟花钱的东西。又如: I spent 100 on the dress.(spend → spent)我花了100元买了这个裙子。过去时。 另一个用法:spend …doing…这里之所以用 doing,是因为 doing 之前有个介词 in ,in 可以省去不要。 I spend a lot of time reading. 3. pay ,意思是支付,付钱,付账,结账,表示“为…付账”要用for。看例子吧 I paid 20 pounds for the meal.(pay → paid)我付了20磅,为那顿饭。(过去时) 4. cost :这个词用的时候,主语是“商品 或 服务”,通俗地说:东西花人钱! The car cost him a lot of money. ( cost → cost)那车花了他好多钱。( 过去时) 本题为It takes sb +时 间 to do 表示“花了某人多长时间去做某事”。故选B。。
+
+
+【题干】：I loved this picture _ I saw it. A. first time B. the first time C. at the first time
+【答案】：B
+【解析】：【详解】考查连词。句意:我第一次看见这幅画就喜欢上它了。分析句子可知,设空出前后是两个句子,故应用连词连接。the first time可充当连词用。故选B。。
+
+
+【题干】：Li Qiang is_ honest boy. He wants to be_ useful person when he grows up. A. a;an B. an;a C. a;a
+【答案】：B
+【解析】：【详解】考查冠词。句意:李强是一个诚实的男孩。当他长大了,他想成为一个有用的人。分析句子可知,第一个空后的honest中的“h”不发音,故第一个因素是原因,故应用an来修饰;第二个空后的useful在音标中的第一个音节是/j/是辅音,故用a来修饰。结合选项,故选B。。
+
+
+【题干】：—Is this the new dictionary _ you got yesterday? —Yes. Now it's very convenient for me to look up words. A. that B. why C. what
+【答案】：A
+【解析】：【详解】考查定语从句。句意:这就是昨天你得到的新字典吗?-是的,我用它查单词非常方便。分析句子可知,这是一个定语从句,先行词是dictionary,且先行词在从句中做宾语,故应用关系代词来引导。结合选项,故选A。。
+
+
+【题干】：Smart phones _ by Huawei are getting more and more popular around the world. A. made B. making C. to make
+【答案】：A
+【解析】：【详解】考查非谓语动词。句意:华为制造的手机在全世界越来越受欢迎。分析句子可知,句子中已有谓语动词are getting,故设空处应用非谓语动词,且smart phones与make之间是被动关系,故应用过去分词表被动。结合选项,故选A。。
+
+
+【题干】：A large quantity of water _ polluted in the past twenty years across China. A. is B. are C. has been D. have been
+【答案】：C
+【解析】：【详解】考查时态和主谓一致。句意:在过去的二十年中,中国各地大量的水被污染。“a great/large quantity of+名词”作主语时,其谓语的数取决于 quantity的数,谓语动词用单数;时间状语in the past twenty years和现在完成时连用,因此此处用has been done形式。故选C项。【点睛】“a large quantity of +名词”和“large quantities of+名词”作主语时的主谓一致 a great/large quantity of 和a great/large quantity of意思为“大量,许多”,其后接可数名词或不可数名词。用作主语时,其谓语的数取决于 quantity的数。“a great/large quantity of+名词”作主语时,谓语动词用单数;“great/large quantities of+名词”作主语时,谓语动词用复数。如: A large quantity of goods was damaged in the storm.大量的货物在风暴中受损。 What does Canada export? Large quantities of wheat are sent abroad. 加拿大出口什么?大批小麦被送到国外。 Large quantities of cultural relics and samples are also preserved. 大量的文化遗物和样品也保存在这里。 In this process, a large quantity of Chinese outstanding enterprises is blooming. 在这个过程中,一大批中国优秀的企业迅速发展。。
+
+
+【题干】：The speaker _ from his seat and _ his voice, looking excited. A. raised; raised B. rose; raised C. rose; rose D. raised; rose
+【答案】：B
+【解析】：【详解】考查动词词义辨析。句意:演讲者从座位上站起来,提高了嗓门,显得很激动。raise是及物动词,后面接宾语,意思为“抬起 ,举高”; rise是不及物动词,意思为“上升,升起,起立”,后面不需要接宾语。第一空:短语rise from “从……升起,起立”;第二空:短语raise one’s voice 提高声音,提高嗓门。故选B项。。
+
+
+【题干】：Even in some developed countries, disabled people are _ to be denied health care than other people. A. three times as likely B. as likely three times C. three times more likely D. more likely three times
+【答案】：C
+【解析】：【详解】考查倍数表达法。句意:即使在一些发达国家,残疾人被拒绝医疗保健的可能性是其他人的三倍。根据后面的than可知,应用比较级形式;此处是倍数的表达法“A+be +倍数+形容词/副词比较级+than”。故选C项。。
+
+
+【题干】：This year's English movie dubbing competition will be held, but no date has yet been set for the _of the entries to be selected. A. commission B. submission C. association D. occupation
+【答案】：B
+【解析】：【详解】考查名词词义辨析。句意:今年的英语电影配音比赛将会举行,但是目前还没有确定提交参赛作品的日期。A. commission委员会,服务费;B. submission提交,服从,投降;C. association协会,联合;D. occupation职业,占有。根据but no date has yet been set可知此处表示提交参赛作品。故选B项。【点睛】此处考查了名词作定语的用法。英语名词在句中的句法功能如下: 1.作主语 This book is very useful. 这本书很有用。 2.作表语 My brother is a worker. 我弟弟是个工人。 She is a writer. 她是个作家。 3.作宾语或宾补 He finished his task on time. 他按时完成了他的任务。 4.作定语 He got three gold medals at 23rd Olympic Games. 他在第二十三届奥运会上取得了三块金牌。 a golden medal 金色的奖牌(颜色,非材料) 6.作同位语 Mr. Smith, our leader, is speaking now. 史密斯先生,我们的领导,正在讲话。。
+
+
+【题干】：I could speak their language and _ with their problems because I had been there. A. interfere B. interpret C. identify D. interact
+【答案】：C
+【解析】：【详解】考查动词词义辨析。句意:我能说他们的语言,认同他们的问题,因为我曾经在那里过。A. interfere干涉,妨碍,打扰;B. interpret解释,翻译;C. identify识别,鉴别,辨认出,确定;D. interact互动,互相影响。短语identify with认同…,是固定搭配。故选C项。。
+
+
+【题干】：His eyes locked with mine,and I guessed he _ the decision right then whether or not to simply tell me the truth. A. made B. would make C. was making D. had made
+【答案】：C
+【解析】：【详解】考查动词的时态。句意:他的眼睛盯着我,我猜他当时就在做决定,要不要告诉我真相。根据right then“就在那时”,可知此处时态是过去进行时,且主语是he。故选C项。。
+
+
+【题干】：Many banks have announced to lower interest rates _ the general depression. A. in sympathy with B. in contrast to C. in parallel with D. in proportion to
+【答案】：A
+【解析】：【详解】考查介词短语词义辨析。句意:许多银行已宣布降低利率以应对大萧条。A. in sympathy with同意,赞成,应对;B. in contrast to与…形成对照,相比之下;C. in parallel with与…同时,与平行;D. in proportion to与…相称,与…成比例。根据the general depression可知此处表示应对大萧条。故选A项。。
+
+
+【题干】：The victims lived temporarily in shelters, and the earthquake _ everything, they became homeless. A. destroyed B. having destroyed C. destroying D. to destroy
+【答案】：B
+【解析】：【详解】考查非谓语动词。句意:灾民暂时住在避难所,地震摧毁了一切,他们无家可归。根据逻辑主语the earthquake与destroy之间的主谓关系,且destroy的动作发生在they became homeless之前,因此要用现在分词的完成式。故选B项。【点睛】本题考查了现在分词的完成式。非谓语中的having done是现在分词的完成式,它表示主动的动作,并且动作发生在谓语动词之前,常常作状语来修饰动词。例句: Not having had anything for the whole day, he wolfed down three bowls of rice. Having seen him before, I know what he is like. Having graduated from high school, he became a journalist.。
+
+
+【题干】：—I used to make my father angry but now we’re getting along very well. —So I bet you were _when young. A. a black sheep B. a real weed C. a man in the street D. a real little devil
+【答案】：D
+【解析】：【详解】考查情景交际。句意:——我过去常惹我父亲生气,但现在我们相处得很好。——我敢说你年轻时一定是个小恶魔。A. a black sheep败家子,害群之马;B. a real weed瘦弱的人;C. a man in the street普通人,贩夫走卒;D. a real little devil小恶魔。根据I used to make my father angry可知此处表示另一方开玩笑说说话人是小恶魔。故选D项。。
+
+
+【题干】：The building _ will be completed in a month. It will be our lab building. A. to paint B. to have painted C. being painted D. painting
+【答案】：C
+【解析】：【详解】考查非谓语动词。句意:正在被粉刷的大楼将在一个月内完工。它将是我们的实验楼。分析句子结构可知paint在句中作非谓语动词,且表示“正在被粉刷的大楼”应用being done形式,故此处应用being painted作后置定语,修饰the building。故选C。。
+
+
+【题干】：All _ should be done is worth doing well. A. which B. what C. that D. 不填
+【答案】：C
+【解析】：【详解】考查定语从句。句意:应该做的事都值得做好。此处为定于从句修饰先行词all,先行词为all且在从句中做主语,只能用that引导。故选C。【点睛】定语从句中关系词只能用that的情况 1.当先行词为all, much, none, something, nothing, everything, the one, few, little, many, anything等不定代词时。例如: We should do all that is useful to the people. 我们应该做一切有益于人民的事情。 Is there anything that I can do for you?有什么需要我帮忙的吗? 2 当先行词被only, any, few, little, no, all, many, much等不定代词修饰时。例如: I have finished reading all the books that I borrowed from the library. 我己经看完了所有从图书馆借来的书。 He has learned many English new words that the teacher taught him last week by heart. 上周老师教的许多新英语单词,他都用心记住了。 3.当先行词被序数词、形容词最高级以及the only, the very, the next, the last等修饰时。例如: This is the first book that I bought in the shop . 这是我在这家书店买的第一本书。 This is one of the most exciting football games that I have ever watched 这是我看过的最激动人心的足球赛之一。 4当先行词是形容词最高级时。例如: This is the best that can be done now.这是现在能做的最好的办法。 5.先行词既指人又指物时。例如: We talked of things and persons that we remembered. 我们谈起了我们记住的人和事儿。 6.关系代词在限制性定语从句中作表语,并带有比较的含义时。例如 Our school is no longer the school that it was ten years ago .我们学校已经不再是十年前的样子。 7.句子的前一部分已经出现了which,为避免重复,句子的后面部分通常不再用 which而用that来引导限制性定语从句。例如: Which is the book that you bought yesterday? 哪一本书是你昨天买的? 8.当主句是以who , which 引起的特殊疑问句时,关系代词通常只用that. 例如: Who is the man that you spoke to just now? 刚才和你说话的那个人是谁? 9.在there be句型中,只能用that,例如: There was still a lot of homework that we had to do in our spare time. 我们在业余时间仍然必须做很多作业。。
+
+
+【题干】：I will never forget the days _ I spent in that faraway village. A. when B. which C. in which D. where
+【答案】：B
+【解析】：【详解】考查定语从句。句意:我永远不会忘记我在那个遥远的村庄度过的日子。此处为定语从句修饰先行词days,且先行词在从句中做宾语,指“日子”故用which或that引导。故选B。。
+
+
+【题干】：Luckily, we’d brought a road map without _ we would have lost our way. A. it B. that C. this D. which
+【答案】：D
+【解析】：【详解】考查定语从句。句意:幸运的是,我们带了一张路线图,没有它我们就会迷路。此处为“介词+关系代词”结构定语从句修饰先行词road map,做介词without的宾语,且指代物品应用关系代词which。故选D。。
+
+
+【题干】：It is not known yet how these huge stones were _over a distance of 380 kilometers. A. removed B. transformed C. transmitted D. conveyed
+【答案】：D
+【解析】：【详解】考查动词词义辨析。句意:至今都没人知道,这些巨石是怎么被运送了380千米那么远的。A. removed移开,拿开;B. transformed使改变形态;C. transmitted传送,输送;D. conveyed传送,运送。结合句意可知,这里要用一个动词描述巨石“移动”380千米的过程,C选项和D选项可以考虑,而transmit多指传递、传播(信息、话语)等感观方面的意思,convey多指转换、传输、搬运(物品)等实质方面的意思。故选D项。。
+
+
+【题干】：Last night Bill returned from his office to find his sister_ unconsciously beside the sofa. A. lying B. laid C. laying D. to lie
+【答案】：A
+【解析】：【详解】考查非谓语动词。句意:昨晚Bill从他的办公室回来,却发现妹妹躺在沙发旁边,不省人事了。在一些表示感官和心理状态的动词后面,可用动词的现在分词作宾语补足语,根据“unconsciously beside the sofa”可知,find sb. doing sth.意为“发现……在……”符合句意。lie的现在分词是lying。故选A项。【点睛】非谓语动词中动词的-ing形式是一个重要组成部分,包括动名词和现在分词,其中现在分词作补足语是常见的一种类型。现在分词可以在see、hear、notice、watch、feel、smell、look at、listen to、observe、find等表示感官和心理状态的动词及动词have、get、leave、keep、set、send等后面作宾语补足语,和宾语一起构成复合宾语。本题中即是“谓语(find)+宾语(his sister)+宾补(非谓语动词)”的复合宾语基本结构,所以要用现在分词形式。。
+
+
+【题干】：_ the free tickets, I would not have gone to the films so often. A. If it is not B. Were it not for C. Had it not been for D. If it had not been
+【答案】：C
+【解析】：【详解】考查虚拟语气。句意:如果不是因为免费的电影票,我就不会看电影看得那么勤。根据 I would not have gone to the films so often.可知,这里在对过去进行虚拟,要用非真实条件句的虚拟语气,此时条件从句中谓语动词用had done。而当非真实条件句中有had时,可以省略if,把had提至主语前形成部分倒装结构。故选C项。【点睛】非真实条件句的虚拟语气是虚拟语气的考查中很重要的一部分。非真实条件句表示条件从句假设的动作客观上未发生,只是主观虚拟在这个动作发生的情况下主句动作的反馈。非真实条件句的虚拟语气可分为对现在的虚拟、对过去的虚拟和对将来的虚拟,每一种情况下条件从句的谓语动词和主句的谓语动词形式都是有相应要求的。而当非真实条件句中有should、had或were时,可以省略if,而把should、had、或were提至主语前,从句形成部分倒装结构。本题正好符合这种情况,首先根据分析出的非真实条件从句可以写出一般形式“If it had not been for the free ticket”,再省略if、提前had作部分倒装,即可得出正确答案。。
+
+
+【题干】：_ from a real event, the Climbers tells the story of the first Chinese team to conquer Mount Everest in 1960. A. Adapting B. To adapt C. Having adapted D. Adapted
+【答案】：D
+【解析】：【详解】考查非谓语动词。句意:由一个真实事件改编,攀登者这部电影给我们讲述了1960年第一支中国队攻克最高的山峰——珠穆朗玛峰的故事。分析句子结构可知adapt在句中用非谓语动词形式做状语,且adapt与逻辑主语the Climbers构成被动关系,故用过去分词形式。故选D。。
+
+
+【题干】：Making your new business successful requires luck, patience and _, so you should work with great attention and effort. A. regulation B. application C. adaptation D. identification
+【答案】：B
+【解析】：【详解】考查名词词义辨析。句意:要想让你的事业成功就必须要有好运、耐心和全身心投入,所以你必须要带着极大的专注和努力工作。A. regulation规则;管理;B. application全身心投入,应用;C. adaptation适应;D. identification认同;确认;同情。结合后文so you should work with great attention and effort.可知想让你的事业成功就必须要有好运、耐心和全身心投入。故选B。。
+
+
+【题干】：The _ difference between Sam and me was the fact that I took life seriously. A. official B. potential C. essential D. confidential
+【答案】：C
+【解析】：【详解】考查形容词词义辨析。句意:我和Sam最本质的区别就是我认真对待生活。A. official官方的;B. potential潜在的;C. essential本质的,基本的;D. confidential机密的。结合后文difference 可知短语essential difference表示“本质区别”。故选C。【点睛】必不可少:essential的用法综述 一、关于essential,你应该知道的用法有 adj. 1.必要的:They lay on all essential services.他们提供一切必要的服务。 2.本质的,基本的:This is of course still the essential method.这当然仍是本质的方法。 3.精华的:All concentrated parts are essential.浓缩的都是精华。 n. 1.要素,要点 [C] Teacher is the primary essential in classroom teaching.教师是课堂教学的首要要素。 2.本质 3.必需品 [C] I always considered a washing machine an essential.我一向认为洗衣机是必需品。 二、词义辨析:indispensable, essential, necessary, requisite辨析 这些形容词均有“必不可少的,必需的”之意。 indispensable语气强,侧重指绝对必要性或不可缺少性。 essential指对事物本身性质具有决定性的重要性,暗含不可缺少,否则便无法存在。 necessary最常用词,侧重由客观因素决定的某种需要,强调不可避免,但并非绝不可缺少。 requisite正式用词,特指为实现某一目的或得到某种结果而应有的需要,有时可与necessary换用。。
+
+
+【题干】：- When can we move to the new apartment? - Well, it _, and hopefully, the job will be done in a couple of weeks. A. is being decorated B. is decorated C. was decorated D. had decorated
+【答案】：A
+【解析】：【详解】考查动词时态语态。句意:——我们什么时候才能搬到新公寓里去啊?——好啦,这个新公寓正在装修,希望这项工作能在几周内完成。结合句意可知“公寓正在被装修”应用现在进行时,且主语与谓语动词构成被动,故用现在进行时的被动语态。故选A。。
+
+
+【题干】：Tom, as well as his friends who_ football, _very popular among the students. A. likes; are B. likes; is C. like; is D. like; are
+【答案】：C
+【解析】：【详解】考查主谓一致。句意:汤姆和他喜欢足球的朋友一样,在学生中很受欢迎。第一空是定语从句,其中his friends是先行词,在定语从句中做主语,其谓语动词要与his friends保持一致,用复数形式;第二空的主语是Jim,要用单数形式,要用is。故C正确。。
+
+
+【题干】：The clever boy made a hole in the wall, _he could see what was going on inside the house. A. on which B. at which C. through which D. in which
+【答案】：C
+【解析】：【详解】考查定语从句。句意:这个聪明的男孩在墙上打了个洞,通过这个洞他可以看到房子里发生的事。本句是非限制性定语从句。其中a hole是先行词,根据语意可知,是指男孩通过这个洞可看到房子里正在发生的事。即through a hole。其中的a hole是先行词,指物,即through which。which指代的是hole,因此通过这个洞,要用介词through,其它介词in /on /at都不对。故选C。。
+
+
+【题干】：He is_ know the result of the examination and even can't eat or sleep well for that. A. leading to B. dying to C. addicted to D. accustomed to
+【答案】：B
+【解析】：【详解】考查动词短语辨析及固定搭配。句意:他十分渴望知道考试的结果,他甚至为此日不能食夜不能寐。A. leading to...导致......;B. dying to渴望做某事;C. addicted to沉溺于......;D. accustomed to习惯于......。分析可知,选项A、C和D项中的to都是介词,后面要跟名词/代词/doing,只有dying to do是跟动词不定式,结合句意。故选B。。
+
+
+【题干】：David is so excited because it is the first time that he _ the Great Wall. A. visited B. had visited C. has visited D. visits
+【答案】：C
+【解析】：【详解】 考查时态。句意:大卫很兴奋,因为这是他第一次参观长城。A. visited visit的一般过去时;B. had visited visit的过去完成时;C. has visited visit的现在完成时;D. visits visit的一般现在时。根据“it is the first time that”从句时态用现在完成时,故选C。。
+
+
+【题干】：-Take the pills every four hours and don't forget to drink lots of water. -_.Thank you. A. I do B. Go ahead C. No wonder D. Got it
+【答案】：D
+【解析】：【详解】 考查情景交际。句意:——每四小时吃一次药,别忘了多喝水。——知道了。谢谢你。A. I do我愿意;B. Go ahead前进、说吧;C. No wonder怪不得;D. Got it知道了。由语境可知,说话一方吩咐吃药事宜,另一方得到了这个信息,并感谢对方,Got it符合语境。故选D项。。
+
+
+【题干】：Go for a walk in the countryside, you can enjoy the beautiful views and a peaceful atmosphere. A. why B. where C. that D. which
+【答案】：B
+【解析】：【详解】 考查定语从句。句意:去乡下散散步,在那里你可以欣赏到美丽的景色和宁静的气氛。根据句意和句子结构可知,句子为非限制性定语从句,先行词为countryside,在从句中作地点状语,故应用关系副词where引导从句,还原后为“you can enjoy the beautiful views and a peaceful atmosphere in the countryside”。故选B项。。
+
+
+【题干】：Experts believe people can waste less food by shopping only when it is necessary. A. who B. when C. that D. where
+【答案】：C
+【解析】：【详解】 考查宾语从句引导词。句意:专家认为,人们只有在必要的时候才可以通过购物来减少食物的浪费。分析结构可知,此处是Experts believe...作主句,空格处引导宾语从句,从句不缺少成分,且意义也完整,故用只起连接作用、无意义的that。故选C项。。
+
+
+【题干】：Rosie has a collection of furry toys. If you ask, she'd like to share some with you. A. vivid B. massive C. intense D. permanent
+【答案】：B
+【解析】：【详解】考查形容词。句意:罗西收集了大量的毛绒玩具。如果你问,她会愿意和你分享一些。A. vivid 生动的,清晰的;B. massive 大量的;C. intense强烈的;D. permanent永久的。由语意以及名词collection(收集)可知,罗西收集了大量的毛绒玩具,固定短语a massive +名词+of 表示“大量的……”,故选B项。。
+
+
+【题干】：-This sauce needs a bit of flavour. -I know, some lemon juice should . A. do the trick B. carry on C. set in motion D. go wild
+【答案】：A
+【解析】：【详解】考查动词短语辨析。句意:—这个酱汁需要一点味道。—我知道,来点柠檬汁就可以了。A. do the trick 做成功,达到理想的状态;B. carry on 实施,坚持;C. set in motion 开始,调动;D. go wild发狂,无法控制。根据句意可知,酱汁差点儿味道,所以回答说加点柠檬汁就可以了,达到理想的味道,故选A项。。
+
+
+【题干】：—Shall I carry the box for you? — .Thank you. A. It's up to you B. Of course not C. It's a pleasure D. It couldn't be better
+【答案】：D
+【解析】：【详解】 考查情景交际。句意:——要我帮你搬这个箱子吗?——那再好不过了。谢谢。A. It's up to you取决于你;B. Of course not当然不;C. It's a pleasure不客气;D. It couldn't be better再好不过了。根据后文“Thank you”可推知对方同意了让别人搬箱子,因此回答“再好不过了”符合语境。故选D。。
+
+
+【题干】：—How is your study in high school? —Not bad. But I learning English. A. am good at B. have no trouble C. am interested in D. have a little trouble
+【答案】：D
+【解析】：【详解】 考查固定短语。句意:——你的高中学习怎么样?——还不错。但是我学英语有点困难。A. am good at擅长;B. have no trouble 没有困难;C. am interested in对……感兴趣;D. have a little trouble有点困难。but表示转折,说明学习英语是有困难的,表示“做某事有点困难”短语为have a little trouble (in) doing sth.。故选D。。
+
+
+【题干】：by millions, the ending to Liuxiang's final race has divided opinions. A. Watch B. To watch C. Watched D. Watching
+【答案】：C
+【解析】：【详解】 考查非谓语动词。句意:在数百万观众的注视下,刘翔决赛的结局众说纷纭。分析句子结构可知watch在句中应用非谓语动词形式,且与逻辑主语the ending to Liuxiang's final race构成被动关系,故应用过去分词作状语。故选C。。
+
+
+【题干】：It was a really moment. I found all the money was stolen. A. face-saving B. heart-stopping C. brain-washing D. eye-catching
+【答案】：B
+【解析】：【详解】 考查形容词词义辨析。句意:那一刻真的是心惊肉跳。我发现所有的钱都被偷了。A. face-saving顾全面子的;B. heart-stopping惊心动魄的,心惊肉跳的;C. brain-washing洗脑的;D. eye-catching引人注目的。结合后文“I found all the money was stolen.”可知发现钱都被偷了,是心惊肉跳的时刻。故选B。。
+
+
+【题干】：Both teams were wearing similar colours, which made the match . A. confused B. confusing C. surprising D. surprised
+【答案】：B
+【解析】：【详解】 考查-ed形容词和-ing形容词词义辨析。句意:两支球队穿着相似的颜色,这使比赛变得混乱。A. confused困惑的、混乱的;B. confusing难以理解的;C. surprising令人惊讶的;D. surprised惊讶的。修饰形容人用-ed形容词,修饰形容物用-ing形容词,此空作名词 the match的宾补, the match是物,用-ing形容词,因为两支球队穿着相似的颜色,很难分辨,所以比赛很乱,用confusing。故选B项。。
+
+
+【题干】：When I walked down the street, I Mr. David, who I hadn't seen for years. A. came across B. laughed at C. depended on D. got through
+【答案】：A
+【解析】：【详解】 考查动词短语辨析。句意:当我走在街上时,我偶遇了大卫先生,我已经很多年没见过他了。A. came across偶然遇见;B. laughed at嘲笑;C. depended on取决于;D. got through通过。结合后文“who I hadn't seen for years”可知是偶遇了大卫先生。故选A。。
+
+
+【题干】：their age, the photographs have a modern feel. A. Besides B. Speaking of C. Despite D. Thanks to
+【答案】：C
+【解析】：【详解】 考查介词(短语)词义辨析。句意:尽管年代久远,但这些照片具有现代感。A. Besides此外;B. Speaking of说到;C. Despite尽管;D. Thanks to多亏。由句意可知,前后句有转折含义,用despite 表示逗号后面内容内部的转折。故选C项。。
+
+
+【题干】：Many people rushed over to help the lady, car got stuck in the mud. A. who B. whose C. which D. that
+【答案】：B
+【解析】：【详解】 考查定语从句。句意:那位女士的车陷在泥里了,许多人都跑过去帮助她。此处为非限制性定语从句修饰先行词lady,且先行词在从句中作定语,应用关系代词whose引导。故选B。。
+
+
+【题干】：—I have been learning English for about 5 months. — ! Your English is so good. A. You can't be serious B. You got it C. I couldn't agree more D. I'm stuck
+【答案】：A
+【解析】：【详解】 考查情景交际。句意:——我学英语已经有5个月了。——你一定是在开玩笑。你英语那么好。A. You can't be serious你一定是在开玩笑;B. You got it没问题;C. I couldn't agree more我完全同意;D. I'm stuck我被卡住了!根据后文“Your English is so good.”可知回答者认为对方英语很好,根本不需要学习英语,所以认为对方是在开玩笑。故选A。。
+
+
+【题干】：Beyond stars there is nothing but space. A. /...the B. the.../ C. /.../ D. the...the
+【答案】：B
+【解析】：【详解】 考查冠词。句意:在星星的外面除了太空什么也没有。第一空特指“太空中的星星”,所以用定冠词the。第二空名词space作“空间,太空”之意,是抽象名词,单独使用,其前不用冠词。故选B。。
+
+
+【题干】：It is no use (think) about it anymore but I just can't but about it. A. to think....think B. to think...thinking C. Thinking...thinking D. thinking...think
+【答案】：D
+【解析】：【详解】 考查固定句型和短语。句意:再想也没有用,但我不得不想。固定句型It is no use doing sth.表示“做……没有用”;固定短语can't but do表示“不得不”。故选D。。
+
+
+【题干】：The disappearance of dinosaurs is not necessarily caused by astronomical incidents. But _ explanations are hard to find. A. alternative B. aggressive C. ambitious D. appealing
+【答案】：A
+【解析】：【详解】 考查形容词词义辨析。句意:恐龙的消失并不一定是由天文事件引起的。但是很难找到可供选择的解释。A. alternative供选择的;B. aggressive好斗的,有进取心的;C. ambitious有雄心的;D. appealing吸引人的。根据but可知,与前文意思相反,所以可供选择的解释很难找。故选A。。
+
+
+【题干】：―Are you sure you'll leave the company you've served for nearly three years? —Yes. The boss never gives me any for all the extra work I have done. A. praise B. promise C. guidance D. expectation
+【答案】：A
+【解析】：【详解】 考查名词辨析。句意:——你确定你会离开你工作了近三年的公司吗?——对。老板从不表扬我所做的额外工作。A. praise赞扬;B. promise承诺;C. guidance指导;D. expectation期待。根据空后“for all the extra work I have done.”可知,此处需用名词praise,表示表扬所做的额外工作。故选A。。
+
+
+【题干】：Asia, in the east of the world, is four times Europe. A. Locating...as large as B. located...the size of C. locating...larger than D. located ...as larger than
+【答案】：B
+【解析】：【详解】 考查非谓语动词和倍数问题。句意:亚洲位于世界的东方,面积是欧洲的四倍。be located in位于,坐落于,在句中作定语,所以用过去分词形式。倍数的表达有:A+倍数+形容词或副词的比较级+ than +B;A+倍数+as+形容词或副词的原级+ as +B;A+倍数+the size/height/length/width + of +B。故选B。。
+
+
+【题干】：-When is Jack going to finish writing that essay? I don't know. He _ day in and day out A. has been working B. has worked C. had been working D. was working
+【答案】：A
+【解析】：【详解】 考查动词时态。句意:——Jack什么时候写完那篇论文? ——我不知道。他一直都在夜以继日地工作。根据时间状语day in and day out可知,说明他从过去一直工作,前文I don't know可知,动作一直持续到现在,故此处应该用现在完成进行时,表示过去发生的动作或状况一直持续到现在,这个动作可能仍在继续进行或刚刚结束。现在完成进行时由“have/has + been + 现在分词”构成,主语和是第三人称单数。故选A项。。
+
+
+【题干】：Is this the reason _he explained at the meeting for his carelessness in his work? A. / B. what C. how D. why
+【答案】：A
+【解析】：【详解】 考查定语从句。句意:这就是他在会上解释工作中粗心大意的原因吗?此处为定语从句,修饰先行词the reason,且先行词在从句中作explain宾语,指物,应用关系代词that或which引导,或先行词在从句中作宾语时直接省略关系词不填。故选A。。
+
+
+【题干】：Some teens cannot be controlled by their parents,_ the parents try hard to control them. A. even though B. as though C. now that D. in case
+【答案】：A
+【解析】：【详解】 考查复合连词词义辨析。句意:有些青少年不能被父母控制,即使父母努力控制也控制不住。A. even though尽管;B. as though好像;C. now that既然;D. in case以防万一。根据句意可知,前文“Some teens cannot be controlled by their parents”和后文“the parents try hard to control them.”为让步关系。故选A项。。
+
+
+【题干】：_ I always felt I would pass the exam, I never thought I would get an A. A. As if B. On condition that C. Once D. While
+【答案】：D
+【解析】：【详解】 考查连词。句意:虽然我一直觉得我能通过考试,但我从来没想过我会得到A。A. As if好像;B. On condition that假如;C. Once一旦;D. While虽然。根据语境,“我一直觉得我能通过考试”和“我从未想过能得A”存在让步转折关系,所以应用“尽管、虽然”来引导让步状语从句,while在这里等于though。故选D项。。
+
+
+【题干】：Rowling had spent years surviving _ very little money before she became famous. A. on B. at C. in D. by
+【答案】：A
+【解析】：【详解】 考查介词。句意:在成名之前,罗琳靠很少的钱生存度过了数年时间。短语survive on,“靠…活下来;靠…生存”,是固定搭配。故选A项。。
+
+
+【题干】：I think my friend Joanne deserves _ the first prize because she is always the best. A. winning B. being won C. to be won D. to win
+【答案】：D
+【解析】：【详解】 考查deserve的用法。句意:我认为我的朋友乔安妮值得赢得一等奖,因为她总是最好的。此处表示“值得赢得一等奖”, win表示主动意义,所以deserve后加动词不定式的主动式。而deserve doing=deserve to be done均表示被动意义,deserve doing是主动形式表被动意义。故选D。。
+
+
+【题干】：Since parents advise children on so many things, they will probably be the first people _ advice their children seek. A. that B. when C. who D. whose
+【答案】：D
+【解析】：【详解】 考查定语从句。句意:由于父母给孩子提供如此多的建议,他们很可能是孩子第一个寻求建议的人。分析句子可知, _ advice their children seek是定语从句,先行词是指人的people,在定语从句中作advice的定语,用关系代词whose引导定语从句,故选D。。
+
+
+【题干】：—Are you going to take a part-time job this winter vacation? —I haven't made up my mind. It's still _. A. up in the air. B. between the lines C. to the point D. over the moon
+【答案】：A
+【解析】：【详解】 考查习惯表达。句意:——这个寒假你打算做一份兼职工作吗?——我还没下定决心。这件事还没决定。A. up in the air.悬而未定;B. between the lines言外之意;C. to the point 切题;D. over the moon欣喜若狂。根据“I haven't made up my mind.”可知,整件事情还悬而未定。故选A。。
+
+
+【题干】：I feel it is you as well as your wife that _ for your son's bad performance at school. A. are to blame B. is to be blamed C. are to be blamed D. is to be blamed
+【答案】：A
+【解析】：【详解】 考查强调句中的主谓一致。句意:你儿子在学校成绩不好,我觉得你和你妻子都应该受到责备。as well as连接两个并列主语,谓语动词要和前一主语保持一致,因此be动词用are;动词blame不用被动语态,常用be to blame主动式表被动意义。故选A项。。
+
+
+【题干】：Not until many years later_that many of his neighbors helped him when he suffered the loss of his parents at an early age. A. he was informed B. he informed C. was he informed D. did he informed
+【答案】：C
+【解析】：【详解】 考查倒装和时态。句意:直到很多年后,他才得知,当他年幼失去父母时,许多邻居帮助了他。Not until+从句/词组置于句首时,全句用部分倒装,即:Not until+从句/词组+助动词/be动词/情态动词+主语+其它,所以排除选项A和B;根据时间状语 at an early age可知用一般过去时。因为他是被告知,所以此处需用被动he was informed,否定词置于句首,倒装,be动词was提至主语he前。故选C。。
+
+
+【题干】：Cathy checked her paper _ so that she could get good grades this time. A. careful enough B. enough careful C. enough carefully D. carefully enough
+【答案】：D
+【解析】：【详解】 考查副词的用法及位置。句意:凯茜十分仔细地检查了她的试卷,以便这次她能取得好成绩。空格处在句中作状语,修饰动词短语checked her pape,要用副词carefully。enough作副词时,意为“足够地,十分地”,修饰形容词或副词时enough要放在被修饰的形容词或副词之后,故选D。。
+
+
+【题干】：The teacher _ I like best often encourages me _ my dream. A. who; fight for B. that; to fight for C. which; to fight for D. which; fight for
+【答案】：B
+【解析】：【详解】 考查定语从句关系词和动词用法。句意:我最喜欢的老师经常鼓励我为我的梦想而奋斗。先行词the teacher是人,同时在定语从句中作宾语,用关系代词that, who或者whom,而encourage sb.to do sth.鼓励某人做某事,为固定搭配结构。故选B。。
+
+
+【题干】：For medium-sized cities in China, there is much room to spread out further, _ Yancheng is an example. A. for which B. in which C. of which D. from which
+【答案】：C
+【解析】：【详解】 考查介词+关系代词引导的定语从句。句意:对中国的中等城市而言,还有很多往外扩展的空间,盐城就是这样一个例子。分析句子成分和句子结构可知,_ Yancheng is an example修饰前面的名词cities,所以这是一个非限制定语从句;根据句意可知,句中表达的意思为“盐城是中等城市的一个例子”,表示“……的”需要用到介词of。故选C项。 【点睛】 介词+关系代词引导的定语从句中,介词的选择方法之一是根据句意进行确定,如本题中需要表示“……的”,所以用到的介词是of。考生在遇到这个知识点的时候,要学会从句意出发确定介词。。
+
+
+【题干】：If you can do these things by the time you _ college, you’ll do well in the test of college life. A. will go to B. went to C. go to D. have gone to
+【答案】：C
+【解析】：【详解】 考查时间状语从句中一般现在时表将来的用法。句意:如果你上大学的时候能做到这些,你就能在大学生活的考试中取得好成绩。由语境可知,上大学是将来发生的事,by the time后接时间状语从句,从句中用一般现在时表示将来,故答案为C选项。。
+
+
+【题干】：—_ we go to the art exhibition at two o’clock this afternoon? —Sorry, I can’t make it. Will three o’clock be OK? A. Must B. Shall C. Need D. Would
+【答案】：B
+【解析】：【详解】 考查情态动词。句意:-我们今天下午两点去看艺术展好吗?-对不起,我来不了。三点钟可以吗?Shall 用于第一、三人称的问句,表示征求对方的意见。以must提问的一般疑问句,意为“……必须……吗”.肯定回答用must(必须),否定回答用needn't或don't/doesn't have to(不必)。对情态动词Need引导的问句的几种回答形式:Yes, must./ have to;Yes, ought to/ should;No, needn't;No, don't have to。Would的回答形式:肯定回答:yes,I'd like。否定回答:no,I wouldn't。故选B。。
+
+
+【题干】：—How much do you know about the trade war between China and America? —Well, the newspapers _ it in the past few weeks. A. report B. will report C. reported D. have been reporting
+【答案】：D
+【解析】：【详解】 考查时态。句意:——你对中美贸易战了解多少?——好吧,报纸在过去几周一直在报道这件事。根据句中时间状语in the past few weeks可知,用现在完成时态,结合句意可知,这里用现在完成进行时,表示动作从过去某个时间开始,一直延续到现在,并且还有可能持续下去。故选D。。
+
+
+【题干】：Finally, the thief handed over everything _ he had stolen to the police. A. that B. which C. whatever D. all
+【答案】：A
+【解析】：【详解】 考查定语从句关系词。句意:最后,小偷把偷来的一切东西都交给了警察。本句是定语从句,先行词是everything,指物,在定语从句中作宾语,用关系代词,当先行词是不定代词的时候,关系代词用that引导定语从句。故选A项。。
+
+
+【题干】：To get the job _. A. it is required that one should be qualified B. a bachelor’s degree is necessary C. one needs to have basic knowledge in electricity D. some requirements should be met
+【答案】：C
+【解析】：【详解】 考查非谓语动词。句意:要得到这份工作,一个人需要有电力方面的基本知识。根据上文To get the job可知为不定式作目的状语,“得到工作”的逻辑主语应当是人,选项中只有C选项one可以用于指人,其他选项均不符合要求。故选C。。
+
+
+【题干】：If a book is , it will surely readers. A. interested;interest B. interesting;be interested C. interested;be interesting D. interesting;interest
+【答案】：D
+【解析】：【详解】 考查形容词和动词。句意:如果一本书有趣,它一定会吸引读者。第一个空作is后的表语,用形容词,v+ed修饰人,v+ing修饰物,这里“书”是物,用v+ing形式,排除A和C;第二个空,will后接动词原形,interest“使感兴趣”,是及物动词,宾语通常是人,故选D。。
+
+
+【题干】：Last week he was caught robbing the bank opposite the station. _his age, the police have decided not to charge him. A. In favor of B. In view of C. In charge of D. In case of
+【答案】：B
+【解析】：【详解】 考查介词短语辨析。句意:上周他在车站对面抢劫银行时被抓住了。考虑到他的年龄,警方决定不起诉他。A. In favor of 支持,赞成; B. In view of鉴于,考虑到;C. In charge of负责; D. In case of以防万一。根据his age,可知,此处意思为“考虑到/鉴于他的年龄”。故选B。。
+
+
+【题干】：—Tomorrow you'll go to your new school to study. —Yes, a new term I am looking forward _. A. to arriving B. to arrive C. to arrives D. arrives
+【答案】：C
+【解析】：【详解】考查固定短语与主谓一致。句意:——明天你要去你的新学校学习。——是的,我期待的新学期到来了。固定短语look forward to 意为“期待……”分析第二个句子结构可知,这是一个定语从句,主句的主语是term,term同时也是定语从句的先行词,定语从(that) I am looking forward to,关系代词that在从句中作宾语被省略,句中缺少介词 to;再根据主句主语term是单数形式,谓语动词用第三人称单数arrives。故选C项。。
+
+
+【题干】：to your goals and your dream will come true. A. Sticking B. Stuck C. Stick D. To stick
+【答案】：C
+【解析】：【详解】 考查祈使句。句意:坚持你的目标,你的梦想就会实现。此处是“祈使句+and+简单句(时态要用将来时)”的结构,因此要用动词原形stick。故选C项。。
+
+
+【题干】：Our class teacher the importance of developing good learning habits. A. attracted B. focused C. concluded D. stressed
+【答案】：D
+【解析】：【详解】 考查动词辨析。句意:我们的班主任强调了培养良好学习习惯的重要性。A. attracted吸引;B. focused集中在……上;C. concluded得出结论;D. stressed强调。此处是短语stress the importance of“强调……的重要性”。 故选D。。
+
+
+【题干】：—I really don’t know when we can get over all the troubles. — _! Our troubles will soon be over. A. Forget it B. Cheer up C. Neither do I D. What a pity
+【答案】：B
+【解析】：【详解】 考查交际表达。句意:——我真不知道我们什么时候才能克服所有的困难。——振作起来!我们的困难很快就会过去的。A. Forget it算了吧;B. Cheer up振作起来!C. Neither do I我也不;D. What a pity真可惜。根据后文“Our troubles will soon be over.”可知回答者是给予鼓励,让对方振作起来,困难很快会过去的。故选B。。
+
+
+【题干】：“The news makes me feel very happy.” The structure of this sentence is“_”. A. S+V+O B. S+V+IO+DO C. S+V+P D. S+V+DO+OC
+【答案】：D
+【解析】：【详解】 考查句子结构。句意:这消息使我感到非常高兴。“make+宾语+宾语补足语”为固定结构,the news是主语S;makes是谓语V;me是宾语DC;feel very happy是宾语补足语OC。故选D。。
+
+
+【题干】：Today, the debate continues over how well the gray wolf is _ at Yellowstone. A. fit to B. fitting in C. fitting on D. fit for
+【答案】：B
+【解析】：【详解】 考查动词短语辨析。句意:今天,关于灰狼对黄石公园适应得怎么样的争论仍在继续。A.fit to调整使适应;B. fitting in适应;C. fitting on试穿;D. fit for适合,能胜任的。根据句意,此处应是指“和谐相处,适应”。故选B。。
+
+
+【题干】：Unluckily, he could not any strong evidence to prove his honesty. A. produce B. put back C. create D. bring about
+【答案】：A
+【解析】：【详解】 考查动词(短语)词义辨析。句意:不幸的是,他不能拿出任何有力的证据来证明他的诚实。A. produce给出(证据、论据等);B. put back放回;C. create创造;D. bring about导致。根据空后any strong evidence及选项释义可知,produce符合题意。故选A。。
+
+
+【题干】：The exhibition _ next Sunday will feature paintings created by contemporary artists. A. hosted B. being hosted C. to be hosted D. hosting
+【答案】：C
+【解析】：【详解】 考查非谓语动词。句意:下星期天举办的展览将展出当代艺术家的作品。根据句意及句子结构分析可知,此处表示的是将来发生的事情,应使用不定式作定语,host与exhibition之间是逻辑动宾关系,应使用不定式的被动式。故选C。。
+
+
+【题干】：The programme can’t be _ him because it is beyond his ability. A. charged with B. in charge of C. taken charge of D. in the charge of
+【答案】：D
+【解析】：【详解】 考查固定短语辨析。句意:这个项目不可能由他负责,因为它超出了他的能力。A. charged with控告;B. in charge of负责,主管;C. taken charge of接管,负责;D. in the charge of由……负责。根据because it is beyond his ability及空后him可知,此处使用in the charge of符合题意。故选D。。
+
+
+【题干】：Nothing but several glasses_bought by my father the day before yesterday. A. have been B. were C. was D. would be
+【答案】：C
+【解析】：【详解】 考查主谓一致。句意:前天,我爸除了几副眼镜什么也没有买。分析句子可知,设空处是谓语动词,由the day before yesterday判断为一般过去时,but意为“除了”时适用就远原则,即谓语动词根据nothing来确定,nothing是第三人称单数,且此处是被动语态,故be应用was。故选C项。。
+
+
+【题干】：E-shopping, when properly_,can save us a lot of time and energy. A. being done B. is done C. doing D. done
+【答案】：D
+【解析】：【详解】 考查非谓语动词。句意:正确地进行网上购物可以节省我们大量的时间和精力。分析句子可知是,设空处应填非谓语动词和when一起作为时间状语,逻辑主语E-shopping 和do之间是被动关系,应用过去分词;虽然being done也表被动,但它是现在分词的被动或动名词的被动,与题意不合。故选D项。。
+
+
+【题干】：“What?!” I felt nervous and I tried to turn on my brain but the engine just _ start. A. can’t B. didn’t C. wouldn’t D. doesn’t
+【答案】：C
+【解析】：【详解】 考查情态动词。句意:“什么? !” 我感到紧张,试图开动我的大脑,但引擎就是不能启动。分析句子可知这是使用并列连词连接的多个并列句,根据felt和tried可知时态为一般过去时;根据句意:引擎就是不能启动,应使用过去将来时,won’t/wouldn’t是情态助动词,具有情绪化的色彩,表示“拒绝、不肯、怎么也不,就是不”,符合句意。故选C。。
+
+
+【题干】：His visit _ to strengthen ties between the two countries was a big success. A. to intend B. intended C. intending D. be intended
+【答案】：B
+【解析】：【详解】 考查非谓语。句意:他旨在加强两国关系的访问取得了巨大成功。分析可知,“was”为句子谓语,所选动词“intend”应是非谓语,做之前名词“His visit”的后置定语。intend,动词,意为“打算;想要”,与之前名词之间为被动关系,应用过去分词形式,intended。故选B项。。
+
+
+【题干】：Last night I had just gone to bed _ an odd delivery man knocked on the window of my house. A. as B. before C. when D. while
+【答案】：C
+【解析】：【详解】 考查状语从句引导词。句意:昨天晚上,我刚刚上床睡觉突然一个奇怪的送货员敲我房子的窗户。固定搭配had done sth when表示某人刚做完某事时突然...,故选C。。
+
+
+【题干】：We have been very _ of their support. We couldn't have been successful without them. A. enthusiastic B. upset C. appreciative D. embarrassed
+【答案】：C
+【解析】：【详解】 考查形容词词义辨析。句意:我们非常感激他们的支持。如果没有他们,我们就不可能如此成功。A. enthusiastic热情的;B. upset沮丧的;C. appreciative感激的;D. embarrassed尴尬的。根据“We couldn't have been successful without them.”可知,此处用“感激他们的支持”符合语境,be appreciative of是固定表达,意为“感激……”。故选C项。。
+
+
+【题干】：When _ another country, you should be aware of those differences and respect them. A. visit B. to visit C. visiting D. visited
+【答案】：C
+【解析】：【详解】 考查非谓语动词。句意:当拜访另一个国家时,你应该知道这些不同之处并尊重它们。分析句子可知,设空处应填非谓语动词和when一起构成时间状语,逻辑主语you和visit之间是主动关系,应用现在分词。故选C项。。
+
+
+【题干】：Charlie Chaplin became famous in the 1910s, _ films were silent and in black and white. A. whose B. which C. what D. when
+【答案】：D
+【解析】：【详解】 考查定语从句的引导词。句意:查理·卓别林在20世纪10年代成名,当时的电影是无声的和黑白的。设空处为引导词,引导非限制性定语从句,先行词为 1910s,在从句中作时间状语,应用关系副词when。故选A。。
+
+
+【题干】：_ a lot of hard work and a touch of luck play a part, perseverance is the key to success. A. However B. When C. Whether D. While
+【答案】：D
+【解析】：【详解】 考查连词词义辨析。句意:尽管努力和一点点运气也发挥了作用,但坚持不懈是成功的关键。A. However无论怎样;B. When当;C. Whether是否;D. While尽管。根据句意和句子结构可知,此处用连词while“尽管”符合语境,故选D项。。
+
+
+【题干】：In this article , you need to back up general statements with _ examples. A. permanent B. abstract C. specific D. universal
+【答案】：C
+【解析】：【详解】 考查形容词词义辨析。句意:在这篇文章中,你需要用具体的例子来支持普遍的陈述。A. permanent永恒的;B. abstract抽象的;C. specific具体的; D. universal普遍的,宇宙的。根据 examples可知,此处用“具体的例子”符合语境,故选C项。。
+
+
+【题干】：A bank is a place _ they lend you an umbrella in fair weather and ask for it back when it begins to rain. A. when B. where C. that D. there
+【答案】：B
+【解析】：【详解】 考查定语从句。句意:银行就是一个天气好时借给你雨伞,开始下雨的时候再要回来的地方。A. when关系副词,作时间状语;B.where 关系副词,作地点状语;C.that 关系代词;D.there那里。分析句子可知,设空处引导定语从句,关系词代替先行词place,在从句中充当地点状语,应用关系副词where。故选B项。。
+
+
+【题干】：According to doctors, three hours of outdoor exercise a week good for health. A. is B. are C. have D. has
+【答案】：A
+【解析】：【详解】 考查主谓一致。句意:根据医生的说法,每周三小时的户外运动对健康有好处。be good for对……有好处,是固定短语,所以可排除C、D项,主语“three hours of outdoor exercise a week(每周三小时的户外运动)”是一个整体,be动词应用is,排除B项。故选A项。。
+
+
+【题干】：With a lot of difficult problems , he feels like a cat on hot bricks. A. to settle B. being settled C. settling D. settled
+【答案】：A
+【解析】：【详解】 考查非谓语动词。句意:因为有一大堆难题要解决,他感觉就像热锅上的蚂蚁。本句为with +名词+ to do , 动词不定式所表示的动作尚未发生或在当时看来尚未发生。本句表示“ 因为有一大堆难题要解决”。故选A。。
+
+
+【题干】：To help friends, you should help others the way _ you have been helped. A. that B. when C. which D. why
+【答案】：A
+【解析】：【详解】 考查定语从句。句意:为了帮助朋友,你应该像别人帮助你那样帮助别人。分析句子结构,_ you have been helped.是一个定语从句,修饰先行词the way,the way作先行词,关系词为that/in which/不填。故选A项。。
+
+
+【题干】：By the time we got home, the man _ with a note on the door, saying “I’ll come tomorrow.” A. left B. has left C. had left D. would leave
+【答案】：C
+【解析】：【详解】 考查时态。句意:等我们到家时,那人已经在门上贴了张纸条走了,纸条上写着:“我明天再来。”由by+the time+表示过去的时间状语从句可知,主句动作发生在时间状语之前,应该用过去完成时,结构是had+动词过去分词。故选C项。。
+
+
+【题干】：John belongs to that club, whose members meet _ to discuss social issues and share ideas and thoughts. A. immediately B. originally C. gradually D. regularly
+【答案】：D
+【解析】：【详解】 考查副词辨析。句意:约翰是那个俱乐部的成员,该俱乐部的成员定期聚会讨论社会问题,分享意见和想法。A. immediately立刻;B. originally最初,起初;C. gradually逐渐地;D.regularly定期地,有规律地。根据“discuss social issues and share ideas and thoughts.”可知,俱乐部的成员应该是定期聚在一起。故选D项。。
+
+
+【题干】：The people living in these apartments have free_ to that swimming pool. A. access B. passage C. way D. approach
+【答案】：A
+【解析】：【详解】 考查名词辨析。句意:住在这些公寓里的人可以免费使用那个游泳池。A. access通道,进入,机会,使用权;B. passage 一段(文章),走廊,通路;C. way方式,方法;D. approach方法,接近。由语意可知,设空处表示“使用”,用access,构成短语“have access to”,表示“使用,接近,可以利用”。故选A项。。
+
+
+【题干】：The quality of education in this local school is better than _ in some larger school in the city. A. it B. this C. that D. one
+【答案】：C
+【解析】：【详解】 考查代词。句意:这所当地学校的教育质量比城里一些较大的学校的教育质量好。此处用代词that代指上文的不可数名词the quality of education,代词it和one都代指可数名词单数,this指代下文。故选C项。。
+
+
+【题干】：The boy asked me so many strange questions that they really _ me a lot. A. indicated B. confused C. identified D. criticized
+【答案】：B
+【解析】：【详解】 考查动词词义辨析。句意:那个男孩问了我许多奇怪的问题,使我很困惑。A. indicated表明; B. confused使困惑;C. identified确认,鉴别;D. criticized批评,评论。结合语意可知,那个男孩问了“我”许多奇怪的问题,奇怪的问题应该令人困惑的。故选B项。。
+
+
+【题干】：-I don’t think I will win a lottery of 5, 000, 000 dollars in all my life. - Well, _. Everything can happen. A. You can never tell B. You’re kidding C. What you say D. You made it
+【答案】：A
+【解析】：【详解】 考查情景交际及习惯表达。句意:——我认为我这辈子不可能中五百万彩票。 ——很难说。一切都有可能发生。A. You can never tell很难说,一切都有可能发生;B. You’re kidding 你开玩笑吧;C. What you say你说什么;D. You made it 你能做到的。根据Everything can happen.可知这里意思是“很难说”。故选A项。。
+
+
+【题干】：After hospitals buy expensive equipment, they must try to _the money they had spent. A. recover B. remind C. recognize D. reflect
+【答案】：A
+【解析】：【详解】 考查动词词义辨析。句意:医院购买了昂贵的设备后,必须设法收回所花的钱。A. recover弥补,重新获得;B. remind提醒;C. recognize认出;D. reflect反射。结合后文“the money they had spent”可知此处指医院设法收回购买昂贵设备所花的钱,应用recover。故选A。。
+
+
+【题干】：Emergency workers have made _ with the miners struggling under the ground by using their advanced facility. A. contact B. concern C. company D. character
+【答案】：A
+【解析】：【详解】 考查名词词义辨析。句意:紧急救援人员利用先进的设备与在地下挣扎的矿工取得了联系。A. contact联系;B. concern关心;C. company陪伴;D. character性格。结合后文“with the miners struggling under the ground by using their advanced facility”可知此处指利用先进的设备与在地下挣扎的矿工取得了联系,短语make contact with sb.“与某人取得联系”。故选A。。
+
+
+【题干】：Which one of the following sentences is the compound sentence(并列句)? A. The man he mentioned was my classmate. B. She likes drawing and often draws pictures for the wall newspapers. C. Because the weather is so bad, we have to stay at home. D. Mr. Li was ill, so I was taking his class instead.
+【答案】：D
+【解析】：【详解】 考查句型判断。根据题意要找出下列当中的并列句。A.是复合句,“ he mentioned”是定语从句;B. 是简单句,只含有一个主谓结构;C. 是复合句,because 引导的状语从句,主句是“we have to stay at home.”;D. 是并列句,其使用并列连词so连接前“Mr. Li was ill”和后“I was taking his class instead”两个分句。故选D项。。
+
+
+【题干】：The reason is_ I missed the bus. A. that B. when C. why D. what
+【答案】：A
+【解析】：【详解】考查表语从句连接词。句意:原因是我错过了公交车。根据句意以及分析句子可知,该空为表语从句的连接词,从句称完完整,该连接词在从句中不充当成分,只起连接作用;that符合要求。故选A。。
+
+
+【题干】：—I fell sick! —I think it is _ you are doing too much. A. why B. when C. what D. because
+【答案】：D
+【解析】：【详解】考查表语从句。句意:——我觉得恶心!——我觉得是因为你做得太多了。it is _ you are doing too much是think的宾语从句,在宾语从句中,主语为it,is是系动词,此处解释原因,因此是because引导的表语从句。故选D项。。
+
+
+【题干】：If you don't go to his birthday party next Friday,_. A. so do I B. so will I C. nor do I D. nor will I
+【答案】：D
+【解析】：【详解】 考查时态和部分倒装。句意:如果你下周五不去他的生日派对,我也不去。此处if 引导的条件状语从句为一般现在时,主句的时态应为一般将来时,故排除A、C选项;且此处用于否定句后引出另一个否定句,表示“也不”应用nor,nor位于句首时,句子应用部分倒装,即将will提前到主语I之前。故选D。。
+
+
+【题干】：—He was born here. —That is _ he likes the place so much. A. that B. what C. why D. how
+【答案】：C
+【解析】：【详解】 考查表语从句。句意:——他在这里出生。——这就是为什么他那么喜欢这个地方。分析句子结构,is为系动词,空处引导表语从句,从句缺少原因状语,需用连接副词why引导。故选C。。
+
+
+【题干】：It _ Madame Curie and his husband Pierre who discovered radium. A. is B. was C. are D. were
+【答案】：B
+【解析】：【详解】考查一般过去时。句意:是居里夫人和他的丈夫皮埃尔发现了镭。分析句子可知,句子是强调句型,由于所叙述的是过去的事,因此用一般过去时,强调句型也使用一般过去时,it是第三人称单数,故谓语动词也用第三人称单数,故选B项。。
+
+
+【题干】：What is it _ his daughter needs most? A. what B. which C. that D. if
+【答案】：C
+【解析】：【详解】考查强调句。句意:他女儿最需要什么? 强调结构句,被强调的就是疑问词What。 强调句句型:It is +被强调部分+ that-从句。 从上述句型可见,后面该用that引出从句,故选C项。。
+
+
+【题干】：Who was it _ saved the drowning girl? A. since B. as C. that D. he
+【答案】：C
+【解析】：【详解】考查强调句。句意:是谁救了这个溺水女孩?分析句子结构,把 was it 和该空去掉,该句结构完整,语义清晰,所以判断该句为强调句,被强调部分为 who,是强调句的特殊疑问句,强调句的特殊疑问句是:特殊疑问词 + is/was + it that...故选C项。。
+
+
+【题干】：It was what he meant rather than what he said _ annoyed me. A. which B. as C. what D. that
+【答案】：D
+【解析】：【详解】考查强调句。 句意:使我恼火的是他的意思而不是他的话。 分析句子结构可知,这是一个强调句,what he meant rather than what he said是被强调部分。故选D项。。
+
+
+【题干】：What you learn today _ of practical use when you hunt for a job. A. is proved B. proves C. will be proved D. will prove
+【答案】：D
+【解析】：【详解】 考查时态语态。句意:你今天所学的东西在你找工作的时候将会证明是很实用的。prove“证明是”是不及物动词,没有被动语态。根据句意是指在将来找工作的时候证明是有用的,应该用一般将来时,故选D项。。
+
+
+【题干】：However hard he tries, the recorder_. A. didn't work B. won't work C. isn't working D. hasn't worked
+【答案】：B
+【解析】：【详解】 考查动词时态。句意:不管他怎么试,录音机就是不好使。“主将从现”的原则也适用于让步状语从句。从句为一般现在时,主句可以用一般将来时。故选B项。。
+
+
+【题干】：Dr. Peter Spence, _ headmaster of the school, came into our classroom, with _ book in his hand. A. the; a B. the; the C. /; a D. /; the
+【答案】：C
+【解析】：【详解】 考查零冠词和不定冠词。句意:这所学校的校长,Peter Spence博士,手里拿着一本书走进了我们的教室。Dr. Peter Spence与headmaster of the school是同位关系,表示官职的名词前应使用零冠词。表示“一本书”,因此要用不定冠词a。故选C项。。
+
+
+【题干】：I wish to thank Professor Smith, without _ help I would never have got this far. A. who B. whose C. whom D. his
+【答案】：B
+【解析】：【详解】 考查非限制性定语从句。句意:我要感谢史密斯教授,没有他的帮助,我不可能走到这一步。此处是非限制性定语从句,先行词是Professor Smith,与从句主语help是是所属关系,构成“Professor Smith's help”,此空作定语,用关系代词whose。故选B项。。
+
+
+【题干】：Mount Tai is such an attractive place _ almost everyone prefers to appreciate. A. as B. which C. that D. what
+【答案】：A
+【解析】：【详解】 考查定语从句。句意:泰山是一个极具吸引力的地方,几乎每个人都喜欢去欣赏。先行词place前有such,构成such … as结构。as在定语从句中作宾语。故选A。。
+
+
+【题干】：_ for the job you have applied for will leave a bad impression on the interviewers. A. Not prepared B. Not having prepared C. Having not prepared D. Not being prepared
+【答案】：D
+【解析】：【详解】 考查动名词做主语。句意:对你申请的工作没有做好准备会给面试官留下不好的印象。分析句子可知,句子的主语是“没有为要申请的工作做好准备”;这是动名词的否定式做句子的主语, prepared是形容词,它的动名词形式是being prepared,否定式是在前面加not。故选D项。。
+
+
+【题干】：Please choose the one that is different from others in pronunciation. A. male B. campus C. nationality D. challenge
+【答案】：A
+【解析】：【详解】 考查语音辨析。题目要求选择划线部分发音不同的单词。各选项读音为:A. male /meɪl/;B. campus /ˈkæmpəs/;C. nationality /ˌnæʃəˈnæləti/;D. challenge/ˈtʃælɪndʒ/。通过比较可知,A选项中划线部分读音与其他三项不同。故选A。。
+
+
+【题干】：It’s hard to_doing homework with the TV on. A. concentrate on B. look forward to C. depend on D. improve on
+【答案】：A
+【解析】：【详解】 考查动词短语辨析。句意:开着电视,很难集中精力做作业。A.concentrate on集中精力于...;B.look forward to期盼、盼望;C.depend on依靠、依赖;D.improve on改进、对...加以改良。结合with the TV on可知,开着电视,很难集中精力做作业。故答案为A。。
+
+
+【题干】：Joey is not_with the test result,so he decides to study much harder. A. suitable B. fluent C. content D. expert
+【答案】：C
+【解析】：【详解】 考查形容词词义辨析。句意:乔伊对考试结果不满意,所以他决定更加努力地学习。A. suitable适合的;B.fulent流利的;C. content满足的;D. expert熟练的。根据后文说他要更努力学习,可知这里是不满意考试结果,故选C项。。
+
+
+【题干】：Analyze the structure of the following sentence:“I hope to be fluent when I graduate.” A. SVO B. SVA C. SVOA D. SP
+【答案】：C
+【解析】：【详解】考查句子结构。题目要求分析句子成分,本句的主语是I,谓语动词是hope,宾语是to be fulent,此处是不定式短语做hope的宾语,when引导的是时间状语,所以整个句子结构是主谓宾+状语,故选C项。。
+
+
+【题干】：What kind of phrase does the underlined one belong to? “Susan had quit her well-paid job and was working as a volunteer in the neibourhood.” A. NP B. AdjP C. AdvP D. VP
+【答案】：A
+【解析】：【详解】 考查基本句式和句子成分。句意:苏珊辞去了高薪的工作,在附近做志愿者。分析句子的成分可知:volunteer志愿者;in the neighborhood在社区。此处的介词短语,修饰名词volunteer,可知划线处为名词短语结构。答案为A。。
+
+
+【题干】：There_a girl and two boys waiting for you since this morning. A. was B. were C. has been D. have been
+【答案】：C
+【解析】：【详解】 考查主谓一致和时态。句意:从今天早上开始就有一个女孩和两个男孩在等你。根据时间状语“since this morning ”可知,应该用现在完成时;再根据there be 句型的主谓一致遵循就近原则,be的形式与a girl 保持一致,所以谓语应该是has been 形式。故选C。 【点睛】。
+
+
+【题干】：- These problems are too hard to _. Will you give me some advice? - There are many ways, but the most important is to have a careful plan. A. show up B. set out C. put out D. work out
+【答案】：D
+【解析】：【详解】 考查动词短语辨析。句意:-这些问题解决起来太难了。你可以给些建议吗?-有很多种方法,但最重要的是要有一个认真的计划。A. show up 出现;B.set out 动身,开始;C.put out 扑灭,伸出;D.work out 解决,锻炼。结合句意,应该是“问题太难解决了”。故选D。 【点睛】。
+
+
+【题干】：John is a man of _ and he had a lot of interesting _ in his life. A. experience; experience B. experiences; experience C. experience; experiences D. experiences; experiences
+【答案】：C
+【解析】：【详解】 考查名词。句意:约翰是个经验丰富的人,一生中有很多有趣的经历。第一空中experience表示“经验”,是不可数名词,没有复数形式,故排除B、D选项;第二空experience表示“经历”是可数名词,且由a lot of修饰应用复数形式experiences。故选C。。
+
+
+【题干】：The workers believe the assembly hall _ the curtain need to be changed deserves _. A. which; rebuilding B. of which; rebuilding C. whose; to be rebuilt D. of which; to build
+【答案】：B
+【解析】：【详解】 考查定语从句和固定用法。句意:工人们认为需要更换幕布的大会堂值得重建。第一空为“介词+关系代词”结构定语从句修饰先行词the assembly hall,且先行词the assembly hall与the curtains构成所属关系,应用“of which”;第二空表示“值得做某事”短语为deserve doing sth.,为主动表被动。综上,故选B。。
+
+
+【题干】：It is you rather than Lucy who_for the accident. A. is to blame B. is to be blamed C. should blame D. are to blame
+【答案】：D
+【解析】：【详解】考查动词的固定结构和主谓一致。句意:是你而不是Lucy该为这个事故负责。分析句子可知,It is...who是一个强调句型,其中的sb be to blame for,意为“对......负责”,又rather than适用就远原则,因此be to blame的主语是you,be动词应该是are,故选D。。
+
+
+【题干】：Whether tiny animals_to such rays can survive hasn't been clear A. expose B. exposed C. exposing D. to be exposed
+【答案】：B
+【解析】：【详解】 考查非谓语动词。句意:暴露在这种射线下的小动物是否能存活还不清楚。be exposed to表示“接触、暴露于”,此处去掉be作后置定语修饰tiny animals,故B项正确。。
+
+
+【题干】：He was interested in_he had seen at the exhibition. A. which B. that C. all what D. all that
+【答案】：D
+【解析】：【详解】考查定语从句。句意:他对在展览会上所看到的事物感兴趣。分析句子可知,介词in后缺少宾语,had seen后也缺少宾语,我们可以直接用what引导宾语从句,但没有该选项,因此考虑用定语从句,结合选项,用all作介词in的宾语, 同时是that引导的定语从句的先行词(当先行词为all时,关系代词只能用that),故选D。。
+
+
+【题干】：_ one of you breaks the window will have to pay for it. A. Whoever B. No matter which C. No matter who D. Whichever
+【答案】：D
+【解析】：【详解】 考查主语从句。句意:无论你们当中的谁打破窗户都需要赔偿。分析句子结构可知,空白处需要填连接词引导主语从句,whichever和whoever既可以引导名词性从句也可以引导让步状语从句,no matter which和no matter who只可以引导让步状语从句,故排除B项和C项;本题中指人的主语“…one of you”有范围限定,所以应用一个起形容词作用的词,故选D项。若题干改为“_ breaks the window will have to pay for it.”,则应用Whoever。。
+
+
+【题干】：-What made Rodger so upset? -_three tickets for the football match. A. Lost B. Losing C. Because of losing D. Since he lost
+【答案】：B
+【解析】：【详解】 考查非谓语作主语。句意:是什么让罗杰如此不安?丢了三张足球赛的票。设空处在句中作主语,此处是指丢了三张足球赛的票(让罗杰如此不安)。非谓语短语作主语,应用动名词的形式。故答案为B。。
+
+
+【题干】：The flowers _ good in my granny’s garden attract a lot of tourists every summer. A. smell B. smelt C. smelling D. are smelt
+【答案】：C
+【解析】：【详解】 考查非谓语动词。句意:我奶奶花园里的花闻起来很香,每个夏天都吸引了很多游客。分析句子可知谓语动词为attract,所以smell在句子使用非谓语动词形式,smell为感官动词,意为“闻起来...”,无被动形式,使用现在分词作定语,排除A、B、D三个选项,故选C。。
+
+
+【题干】：He even told us a funny story, and everyone laughed_. A. so much B. so great C. a lot of D. too many
+【答案】：A
+【解析】：【详解】 考查副词。句意:他甚至给我们讲了一个有趣的故事,每个人都大笑不已。根据句意,本空应该是修饰动词laugh,做状语,应该用副词much,而“great”“a lot of ”“too many”都是形容词或形容词词性短语,不能修饰副词。故选A。 【点睛】。
+
+
+【题干】：Tom is looking forward the new exchange student. A. to meet B. to meeting C. meeting D. met
+【答案】：B
+【解析】：【详解】 考查固定短语。句意:汤姆期待着与新来的交换生见面。表示“期待做某事”短语为look forward to doing sth.,后跟动名词作宾语。故选B。。
+
+
+【题干】：If I’m not in class, I’m in the library in the computer lab. A. both; and B. either; or C. neither; nor D. not; but
+【答案】：B
+【解析】：【详解】 考查短语辨析。句意:如果我不上课,我要么在图书馆,要么在计算机实验室。A. both;and两者都……;B. either;or要么……要么……;C. neither;nor 两者都不……;D. not;but不是……而是……。此处用于连接两个性质相同的词或短语,表示选择,其意为“要么……要么……”应用either…or…。故选B。。
+
+
+【题干】：It took us quite a long time to get there. It was journey. A. three-hour B. a three hour C. three hours D. a three-hour
+【答案】：D
+【解析】：【详解】 考查形容词。句意:我们花了很长时间才到那里,三个小时的路程。three-hour“三个小时的”为形容性复合词,在句中作定语,修饰名词journey。注意:1. 有连字符号;2. hour用单数形式。journey(路程)在句中为单数可数名词,需要不定冠词。故选D。。
+
+
+【题干】：My adviser recommended that I _for advanced literature because I like English. A. sign up B. signed up C. was signed up D. am signing up
+【答案】：A
+【解析】：【详解】 考查虚拟语气。句意:我的指导老师建议我报名参加高级文学,因为我喜欢英语。主句中谓语动词“recommend(建议)”后面跟宾语从句,从句要用虚拟语气,谓语动词为“(should)+动词原形”;再根据从句主语“I”与“sign up for (报名参加)”应该是主动关系,所以该空应该填(should) sign up,should可以省略。故选A。 【点睛】。
+
+
+【题干】：With so many people _ by sending e-mails every day, it will become more and more important to have a good knowledge of the Internet. A. communicating B. communicated C. communicate D. to communicate
+【答案】：A
+【解析】：【详解】考查with复合结构。句意:每天都有这么多人通过发送电子邮件进行交流,通晓互联网将变得越来越重要。with的宾语so many people与communicate是逻辑上的主谓关系,故用现在分词。故选A。。
+
+
+【题干】：_our food _, we had to walk to a village for help. A. Since; runs out B. Because; run out C. With; running out D. For; running out
+【答案】：C
+【解析】：【详解】考查with的复合结构。句意:在我们的食物快要用完的情况下,我们不得不向附近的村子求援。"since, because, for"作"由于,因为"讲,是连词,其后只能跟从句,不能跟复合结构,所以不能选A、B、D。本题考查“with + n / pron + 宾语补足语”这一复合结构,由于run out是不及物动词短语,且与our food之间存在主谓关系,所以只能用 running out 结构。故答案是C。。
+
+
+【题干】：When mother went into the house, she found her baby was sleeping in bed, _ his lips moving. A. as B. with C. for D. through
+【答案】：B
+【解析】：【详解】考查with的复合结构。句意:当妈妈走进房子的时候,她发现自己的孩子正睡在床上,嘴唇一直在动。"as"作为连词,意为"因为,由于",其后必须跟从句;作为介词,意为"作为",从语法和句意方面都不符合;而for和through在这里从语法和句意方面也不能用。在所给的选项当中,只有with才可以构成“with + n / pron + 宾语补足语” 这一复合结构。故选B。。
+
+
+【题干】：He arrived at the office late this morning . A. due to there was a storm B. due to the storm C. because of there was a storm D. because the storm
+【答案】：B
+【解析】：【详解】考查介词短语。句意:由于暴风雨,今天早晨他到达办公室晚了。due to由于,to是介词,后面接名词或者名词性短语;because of因为,由于,后面接名词或者名词性短语;because因为,后面接从句。故选B。。
+
+
+【题干】：Before traveling in space, you must know what it might feel like _ in an imaginary environment. A. to travel B. traveling C. to be traveling D. travel
+【答案】：A
+【解析】：【详解】考查非谓语动词。句意:在你去太空旅行之前,你必须知道在一个想象的环境中旅行可能感觉像什么。what引导的为宾语从句,it为形式主语,根据Before traveling in space可知,动作还未发生,因为动词不定式表示将来,应用动词不定式作真正的主语,C项为动词不定式的进行式,与语境不符。故选A。。
+
+
+【题干】：He still helped us heartily _ being exhausted after working three hours. A. in response to B. in case of C. in spite of D. in addition to
+【答案】：C
+【解析】：【详解】考查介词短语。句意:尽管工作三个小时后已经筋疲力尽了,他仍然热心地帮助我们。in spite of意为“尽管”,符合语境。in response to“作为对……的回应”;in case of“以防,万一”;in addition to“此外”,故选C。。
+
+
+【题干】：In the Himalayas, large tracks have been discovered which some people say _ the Wild Man. A. belonging to B. belong to C. are belonging to D. to belong to
+【答案】：B
+【解析】：【详解】考查一般现在时。句意:在喜马拉雅,大型足迹已经被发现,一些人说这些足迹是属于野人的。which引导定语从句,指代large tracks,在从句中作say后面的宾语从句的主语,空处是谓语,排除A、D两项;belong to不能用进行时,排除C项。故选B。。
+
+
+【题干】：My TV had just been repaired, so I _ to the pub to watch the World Cup final match last night. A. needn’t had gone B. didn’t need to go C. needn’t have gone D. mustn’t have gone
+【答案】：B
+【解析】：【详解】考查时态。句意:我的电视已经被修好了,所以昨晚我没有必要去酒吧看世界杯决赛。因为时间是last night,表述的是客观事实,所以要用一般过去时。故选B。。
+
+
+【题干】：-I’m amazed at the functions of smart phones. -So am I. We can surf the Internet, watch TV plays, and listen to music, _. A. I got it B. you say it C. I mean it D. you name it
+【答案】：D
+【解析】：【详解】考查交际英语。A. I got it我明白了。B. you say it你说得对;C. I mean it我是认真的;D. you name it凡你想得起的 不管什么;句意:— 对于智能手机的功能我很惊讶。—我也是的,我们可以上网、看电视和听音乐。凡你想得起的 不管什么都可以做。根据句意可知D项正确。。
+
+
+【题干】：_modern society’s heavy dependence on fossil fuels for energy, most people are aware that the supply of these fuels is limited. A. For B. While C. Despite D. As
+【答案】：C
+【解析】：【详解】考查介词辨析。A. For因为;为了;B. While当…时,然而(后面接句子);C. Despite尽管;D. As 随着,作为;句意:尽管现代社会极度依赖化石燃料作为能源,但大部分人意识到这些燃料的供应是有限的。句中使用介词短语despite modern society’s heavy dependence on fossil fuels for energy在句中做状语,表示上下文转折关系。故C项正确。。
+
+
+【题干】：For all the failure of his business, he remains optimistic and _untroubled by his problems. A. hopefully B. approximately C. seemingly D. frequently
+【答案】：C
+【解析】：【详解】考查副词辨析。A. hopefully有希望地;B. approximately大约;C. seemingly似乎;D. frequently频繁地;对于生意上的失败,他仍然很乐观,似乎并没有被这些问题所困扰。根据句意可知C项正确。。
+
+
+【题干】：The new product is beyond all praise and has quickly taken over the market _ its superior quality. A. in terms of B. on top of C. on behalf of D. by virtue of
+【答案】：D
+【解析】：【详解】考查介词短语辨析。A. in terms of就……而言;B. on top of除……之外;C. on behalf of代表;D. by virtue of由于,因为;凭借,依靠;句意:由于质量过硬,这件新产品受到广泛赞誉,很快就占领了市场。根据句意可知应该使用“by virtue of”表示原因。故D项正确。。
+
+
+【题干】：Images of school gyms _with parents have been widely shared on social media, causing a heated debate. A. packed B. to be packed C. packing D. having been packed
+【答案】：A
+【解析】：【详解】考查非谓语动词。句意:学校体育馆里挤满家长的图片在社交媒体上广泛流传,引起了热烈的争论。动词短语pack with意为“用……充满……”,该短语的被动语态构成短语be packed with挤满……;充满……;句子使用形容词短语packed with parents做定语修饰名词短语images of school gyms,相当于定语从句which are packed with parents。故A项正确。【点睛】本题考查了过去分词短语做定语的用法。作定语的过去分词相当于形容词,其逻辑主语就是它所修饰的名词。及物动词的过去分词作定语,既表被动又表示完成;不及物动词的过去分词作定语,只表完成。过去分词修饰承受该动作的名词(即与名词是动宾关系)。 1、过去分词用作定语,如果是单个的,常置于其所修饰的名词之前。 We must adapt our thinking to the changed conditions. 我们必须使我们的思想适应改变了的情况。 2、过去分词短语用作定语时,一般置于其所修饰的名词之后,其意义相当于一个定语从句,但较从句简洁,多用于书面语中。 The concert given by their friends was a success. 他们朋友举行的音乐会大为成功。 3、过去分词短语有时也可用作非限制性定语,前后常有逗号。 The meeting, attended by over five thousand people, welcomed the great hero. 他们举行了欢迎英雄的大会,到会的有五千多人。 4、用来修饰人的过去分词有时可以转移到修饰非人的事物,这种过去分词在形式上虽不直接修饰人,但它所修饰的事物仍与人直接有关。 The boy looked up with a pleased satisfied expression. 男孩带着满意的表情举目而视。。
+
+
+【题干】：Confidence helps you to take a leap of faith when it comes to going after_it is that you truly desire. A. why B. what C. where D. how
+【答案】：B
+【解析】：【详解】考查宾语从句。句意:当涉及到追求你真正想要的事物的时候,信心能够让你充满自信。句中what引导宾语从句,并在句中做动词desire的宾语。ACD三项都是副词,不能做动词的宾语。故B项正确。。
+
+
+【题干】：Sherry really enjoyed physics, so writing an essay about it was_. A. her feet of clay B. as clear as day C. child’s play D. a chore for her
+【答案】：C
+【解析】：【详解】考查俗语。A. her feet of clay致命的弱点;B. as clear as day一清二楚,非常明显;C. child’s play儿戏;容易的事情; D. a chore for her琐事;句意:Sherry真得喜欢物理,所以写一篇关于物理的文章非常容易。根据句意可知C项正确。。
+
+
+【题干】：Falling in love is the_ excitement and rush of hormones(荷尔蒙) when you meet someone and you are physically attracted to them. A. potential B. digital C. original D. initial
+【答案】：D
+【解析】：【详解】考查形容词辨析。句意:坠入爱河是当你遇到某人并被他们的外表所吸引时,最初的兴奋和荷尔蒙分泌。A. potential潜在的;B. digital数字的;C. original原始的;D. initial最初的。此处指最初的兴奋,故选D。。
+
+
+【题干】：Emphasis is laid on the necessity that all the goals to be attained _ into account before starting a new project.. A. be taken B. should take C. would be taken D. must be taken
+【答案】：A
+【解析】：【详解】考查虚拟语气。句意:我们强调这样做的必要性,即在一项新计划启动之前要考虑到它要达成的所有目标。本题中that后的从句为necessity“必要”的同位语从句,谓语需要用(should)+动词原形,should可以被省略的虚拟语气,句中“目标”和“考虑”是被动关系,故选A。。
+
+
+【题干】：_ both sides accept these terms will everlasting peace be established in this region. A. If only B. Only if C. Unless D. As long as
+【答案】：B
+【解析】：【详解】考查固定短语。句意:只有双方接受这些条款,永久的和平才能在此地区实现。Only + 状语位于句首,主句要倒装。A. If only要是…多好;B. Only if只有;C. Unless除非; D. As long as只要,故选B。。
+
+
+【题干】：We are rather _ about the sympathy(同情) he claims to have for the poor, for he is mean with his money. A. skeptical B. curious C. cautious D. enthusiastic
+【答案】：A
+【解析】：【详解】考查形容词辨析。句意:我们对他所说的对穷人的同情持怀疑态度,因为他花钱吝啬。根据for he is mean with his money.可知文中表示“持怀疑态度”,A. skeptical怀疑的;B. curious好奇的;C. cautious谨慎的; D. enthusiastic热情的,故选A。。
+
+
+【题干】：— Would it be all right if I left a bit early? I don’t feel quite myself today. —_. The second section of the meeting is just free discussion. A. Out of the question B. No hurry C. By all means D. With pleasure
+【答案】：C
+【解析】：【详解】考查情景对话。句意:——今天我早点走可以吗?我今天感觉不太舒服。——当然可以。会议的第二部分是自由讨论。根据The second section of the meeting is just free discussion.可知这里意思是“当然可以”,A. Out of the question不可能;B. No hurry不忙;C. By all means当然可以;D. With pleasure乐意地,故选C。。
+
+
+【题干】：Great changes have taken place since then in the factory _we are working. A. that B. which C. where D. there
+【答案】：C
+【解析】：【详解】考查定语从句。句意:从那时起,我们工作的工厂发生了巨大的变化。分析句子可知,设空处引导定语从句,修饰先行词the factory ,关系词代替先行词在定语从句中作地点状语,应用关系副词where。故选C。。
+
+
+【题干】：_ the help of the teacher, the student who wasn’t good at math _ the difficult problem quickly. A. Under; worked out B. With; worked C. Under; solved D. With; solved
+【答案】：D
+【解析】：【详解】考查固定搭配和时态。固定搭配with the help of在…的帮助下;work out计算出,制定出;work on从事于;solve解决。句意:在老师的帮助之下,那位擅长于数学的学生很快就解决了那道数学题。结合句意可知句子用一般过去时态,故选D。。
+
+
+【题干】：I went to see a film _ last year. A. every three weeks B. every third weeks C. each three weeks D. each third week
+【答案】：A
+【解析】：【详解】考查固定用法。句意:去年我每三个星期去看一场电影。表示“每……”或“每隔”常用every,不用each。every three weeks/every third week“每隔三周”,故选A。。
+
+
+【题干】：-I think he is taking an active part in social work. -I agree with you _. A. on the way B. in a way C. by the way D. in the way
+【答案】：B
+【解析】：【详解】考查介词短语辨析。on the way在途中,即将;in a way在某种程度上;by the way顺便说一下;in the way挡道。句意:—我认为他正在积极参加社会工作。—在某种程度上"同意你的看法。故选B。。
+
+
+【题干】：There’s no doubt _ hard work is the key to _ your result. A. whether; improving B. that; improving C. whether; improve D. that; improve
+【答案】：B
+【解析】：【详解】考查同位从句和动名词。句意:毫无疑问,努力工作是提高成绩的关键。There’s no doubt that-“毫无疑问” 为同位语从句; the key to doing sth.“做某事的关键”。to为介词后接动名词。故选B。。
+
+
+【题干】：We don’t need to do extra work this evening. The day’s work was almost _ now. A. at the end B. at an end C. at one end D. in the end
+【答案】：B
+【解析】：【详解】考查词组。句意:今晚我们没有必要再加班,今天的工作现在马上要结束了。at the end最后;at an end结束;at one end在一端;in the end最后。根据句意故选B。。
+
+
+【题干】：Her parents’ quarreling with each other _led to her family’s breaking up. A. strictly B. constantly C. occasionally D. hardly
+【答案】：B
+【解析】：【详解】考查副词。句意 : 她父母之间经常争吵 这导致了家庭破裂。 strictly 严格地 ; constantly 不断地 ; occasionally 偶尔地;hardly 几乎不 。故选B。。
+
+
+【题干】：One thing about child raising to be certain of _ that the longer the child is with its mother, the _. A. being, good B. being, better C. is, good D. is, better
+【答案】：D
+【解析】：【详解】考查表语从句和固定结构。句意:关于孩子抚养,有一点是肯定的,那就是孩子和妈妈在一起的时间越长越好。珍惜句子结构可知,本句是一个表语从句,第一空缺少系动词,应该填is,第二个空是“the+比较级,the+比较级”结构,表示“越……,越……。”应该填better,故D项正确。【点睛】本题的难度在于第一个空,有的同学没有分清句子结构而认为应该用being作介词of的宾语,但通过分析句子结构可知,本句是一个表语从句,to be certain of修饰One thing about child raising,第一空缺少系动词。。
+
+
+【题干】：The old woman had a letter from her son in the army_to her. A. read B. write C. written D. recived
+【答案】：A
+【解析】：【详解】考查have sth done结构。句意:这个老太太请人读他在部队的儿子的来信。have sth done表示“请人完成某事”,此处的read为过去分词,故A项正确。。
+
+
+【题干】：-Mary has a very low opinion of George. -It can' t be any worse than _ of her. A. he B. his C. him D. he does
+【答案】：B
+【解析】：【详解】考查代词。句意:——Mary对George的评价不高。——但没有哪一种评价比George对Mary的评价更差。此处指的是George对Mary的评价,为his(opinion),故B项正确。。
+
+
+【题干】：_1_ is known to us all is that China has launched Shenzhou VII spaceship, _2_ made the country’s first spacewalk successful. A. That;what B. What; which C. It; which D. As ;that
+【答案】：B
+【解析】：【详解】考查名词性从句和定语从句。句意:众所周知,中国已经发射了神州7号宇宙飞船,这是中国首次成功的太空行走。第一空处为主语从句,从句缺少主语,需用what引导;第二空所在句子是个定语从句,先行词为整个主句的内容,从句中缺少主语,需用which引导。故选B。。
+
+
+【题干】：The bell _ the end of the period rang, interrupting our heated discussion. A. to indicate B. indicating C. indicates D. indicated
+【答案】：B
+【解析】：【详解】考查现在分词作后置定语。句意:表明这一段时间结束的铃声响起来了,打断了我们热烈的讨论。本句谓语动词为rang,其余出现的动词都为非谓语动词,indicate 和interrupt的逻辑主语均为the bell主动关系,此处是现在分词作后置定语,故选A.。
+
+
+【题干】：We discussed three different _ to the study of mathematics. A. methods B. accesses C. means D. approaches
+【答案】：D
+【解析】：【详解】考查名词。句意:我们讨论了三种不同的学习数学的方法。这几个词都有“方式,方法”的意思:但用法不尽相同:means/methods后面要接介词of, ways作为方式的意思的用法:ways+to do sth/of doing sth/that从句,而approach作名词“方式后面要接介词to即:approach to sth./doing sth,这句话to后面接的是名词,所以用approaches,故选D。。
+
+
+【题干】：Have you got a _ to fish in this river? A. permit B. permission C. permitting D. permitted
+【答案】：A
+【解析】：【详解】 考查名词。句意:你有在这条河里钓鱼的许可证吗?首先排除C、D选择项,这两个选择项非名词形式。permission是名词,“允许,许可”;permit是名词,意思是“许可证,执照”。结合句意可知这里指获得许可证。故选A。。
+
+
+【题干】：When we got to the railway station,the express hadn't started yet,so we _. A. needn't hurry B. didn't need hurry C. needn't to hurry D. needn't have hurried
+【答案】：D
+【解析】：【详解】考查情态动词+have done结构。句意:当我们到达火车站时,列车还没有启动,所以我们本不必匆忙。固定结构:needn't have done表示“本不必做而做了”。结合句意可住答案为D。【点睛】情态动词+ have done结构: 1.“must + have + 过去分词”表示对过去发生的事情或状态进行推测,语气比较坚定,通常只用于肯定句.如:It must have rained last night,for the ground is wet. 2.“can / could + have + 过去分词”表示对过去某种情况的怀疑或不确定.can和could一般用于否定句和疑问句,could的语气较can弱.如:He can't have finished the work so soon. 3.“may / might + have + 过去分词”表示对已发生的动作或存在的状态进行不肯定的推测,might的语气比may弱一点.这种结构主要用于肯定句和否定句,疑问句改用can或could.如:They may not have known it beforehand. 4.“need + have + 过去分词”表示过去做了不必做或不需要做的事情,或过去做某事纯属多余.如:I needn't have bought so much wine—only five people came. 5.“should / ought to + have + 过去分词”表示过去本该做某事但没做,其否定式表示过去不该做某事但做了,这种句式含有不满或责备之意,ought to的语气比should强一些.如: You ought to / should have studied harder.你本应该更努力学习的.(但没有) He oughtn't to / shouldn't have done that.他本来就不该做那件事.(可是做了) 6.“would + have + 过去分词”表示对过去的某种情况进行猜测,或本来要做某事却因某种原因未做成,通常用来说明某一情况,但不像用should或ought to那样含有责备之意.如: I guess the poet would have been about twenty when she wrote her first poem. Another worker wouldn't have acted like that.。
+
+
+【题干】：- Haven’t seen you for ages! Where have you been ? - I went to Ningxia and _ there for one year, teaching as a volunteer. A. have stayed B. stayed C. had stayed D. am staying
+【答案】：B
+【解析】：【详解】考查时态。句意:—好久没见到你了!你去哪里了?—我去了宁夏,并且在那里待了一年,作为一名志愿者在那里教书。and连接并列谓语。And之前是一般过去时。所以and之后也要用一般过去时来保持时态的一致,故用动词的过去式,所以选B。。
+
+
+【题干】：President Xi Jinping demanded the environmental problems _paid special attention to. A. referred to be B. referred to being C. refer to being D. refer to be
+【答案】：A
+【解析】：【详解】考查过去分词作后置定语和demand后的宾语从句。句意:习近平主席要求特别关注被提到的环境问题。此处problems和refer to之间是一种被动关系,是过去分词作后置定语;动词demand后面的宾语从句用should+动词原形,should可以省略,且problems和pay之间是一种被动关系。故选A。。
+
+
+【题干】：Walking out of the theatre,the famous singer found himself _by his fans. A. surrounding B. surround C. surrounded D. being surrounded
+【答案】：C
+【解析】：【详解】考查过去分词作宾语补足语。句意:走出剧院,著名的歌手发现自己被他的粉丝包围。固定结构:find +宾语+过去分词作宾补。所以选C。。
+
+
+【题干】：_ in the regulations that you shouldn’t tell other people the password of your e-mail account. A. As is required B. It is required C. It requires D. What is required
+【答案】：B
+【解析】：【详解】 考查固定句型和it做形式主语。句意:根据规定,你不应该告诉别人你电子邮件账户的密码。固定句式:It is required that…“据要求,根据规定”,it在句中作形式主语,真正的主语是后面that引导的主语从句。故选B。。
+
+
+【题干】：­­­ What’s your parents’ _to this news? - Surprisingly calm. A. opinion B. reaction C. action D. feeling
+【答案】：B
+【解析】：【详解】考查名词辨析。句意:­­­你父母对这个消息有什么反应?- 令人惊讶的平静。A.opinion观点; B. reaction 反应; C. action 行动; D. feeling感情。由Surprisingly calm.可知,这是在问父母的反应。故B选项正确。。
+
+
+【题干】：When you have any questions hard to answer, you may _your notes. A. turn on B. come to C. refer to D. look up
+【答案】：C
+【解析】：【详解】考查动词短语辨析。句意:你有任何问题难以回答时,你可以参考你的笔记。A. turn on 打开; B. come to总计; C. refer to 参考; D. look up向上看。由your notes.可知,C选项正确。。
+
+
+【题干】：With the development of computer science and the Internet, computers have become household electrical appliances. A. regular B. common C. ordinary D. general
+【答案】：B
+【解析】：【详解】考查形容词辨析。句意:随着计算机科学和互联网的发展,计算机已成为常见的家用电器。A. regular有规律的; B. common共同的,常见的; C. ordinary普通的; D. general普遍的。根据句意,B选项正确。。
+
+
+【题干】：There were more than 80 passengers on board then, but only one boy named David_the airplane crash. A. avoided B. lived C. survived D. remained
+【答案】：C
+【解析】：【详解】考查动词辨析。句意:当时机上有80多名乘客,但只有一个名叫大卫的男孩在飞机失事中生还。A. avoided避免; B. lived居住; C. survived 幸存; D. remained依然。survive sth “经历...而幸存下来”。根据句意,C选项正确。。
+
+
+【题干】：–Is there anything I can do for you? -I’d appreciate_if you could explain how the email system works. A. you B. that C. it D. one
+【答案】：C
+【解析】：【详解】考查代词辨析。句意:–我能为你做点什么吗?–如果你能解释一下电子邮件系统是如何工作的我会很感激的。A. you你; B. that 那个; C. it它; D. one某个。分析句子可知,it 作形式宾语。故C选项正确。。
+
+
+【题干】：I often oversleep in the morning. _, my roommates always wake me up. A. Fortunately B. Naturally C. Hopefully D. Immediately
+【答案】：A
+【解析】：【详解】考查副词辨析。句意:我经常在早上睡过头。幸运的是,我的室友总是把我叫醒。A. Fortunately幸运地; B. Naturally自然地 ; C. Hopefully有希望地; D. Immediately立即。根据句意,A选项正确。。
+
+
+【题干】：The ticket had a strict no-transfer(不可转让) policy, but since passport information was not required when , any Canadian Elizabeth Gallagher can use it. A. applying B. booking C. checking D. bargaining
+【答案】：B
+【解析】：【详解】考查动词辨析。句意:机票有严格的不可转让政策,但是因为在预订的时候不需要护照的具体信息,因此这张机票可以给任何加拿大人与Elizabeth Gallagher姓名相同的人使用。A. applying申请;B. booking预订;C. checking核实;D. bargaining讨价还价。根据语境表示,是表示在预订的时候不需要护照的具体信息,故选B。。
+
+
+【题干】：—I’m sorry I can’t accept _ price offered. —Well, I’m sure you can’t find _ better bargain. A. the; a B. a; the C. a; a D. the; the
+【答案】：A
+【解析】：【详解】考查冠词。句意:——我不能接受你出的价格。——嗯,我肯定你不能找到更好的便宜货。price后面有过去分词offered修饰,表示特指,第一空用定冠词the;第二空表示泛指,a better bargain意为“一个更好便宜货”,故选A。。
+
+
+【题干】：Mike _the army and could hardly _other activities. A. took part in; join B. joined in; join C. joined; take part in D. took part in; join in
+【答案】：C
+【解析】：【详解】考查动词和动词辨析。句意:迈克参军了,他几乎不能参加其它的活动。参加某个组织用join,“参加活动”用take part in表示,故选C。【点睛】join, join in, take part in这几个词或短语都有“参加”的意思,但用法不同。 1. join有两个用法: (1)指加入某个党派,团体组织等,成为其成员之一,意为:“参军、入团、入党”等。 如: When did your brother join the army? 你哥哥什么时候参军的? (2)和某人一道做某事,其结构为:join sb. in (doing) sth.,根据上下文,in (doing) sth. 也可以省去。 如: Will you join us in the discussion? 你参加我们的讨论吗? 2. join in多指参加小规模的某些活动。如“球赛、游戏”等,常用于日常口语。 如: ①Come along, and join in the ball game. 快,来参加球赛。 ②Many people join in the game every year. 每年许多人参加这个游戏活动。 3. take part in指参加会议或群众性活动等,着重说明句子主语参加该项活动并在活动中发挥作用。 如: ①We'll take part in social practice during the summer vacation. 暑假期间我们将参加社会实践。 ②A lot of students took part in the thorough cleaning yesterday. 昨天许多学生参加大扫除。。
+
+
+【题干】：With these years’ development, China will be into an advanced industrial country. A. translated B. transplanted C. transported D. transformed
+【答案】：D
+【解析】：【详解】考查动词辨析。句意:随着这些年来的发展,中国将成为一个先进的工业国家。A. translated翻译;B. transplanted移植;C. transported运输;D. transformed转换。结合句意可知答案为D。。
+
+
+【题干】：Some people like living in the big city, _ others prefer living in the countryside. A. when B. which C. where D. while
+【答案】：D
+【解析】：【详解】考查状语从句。句意:一些人喜欢住在大城市,而另一些人喜欢住在农村。此处while“然而”引导并列句,说明前后形成鲜明对比,故选D。。
+
+
+【题干】：It was 3 in the morning _ the earthquake happened. Hundreds were killed, with a lot _ in the collapse. A. that; buried B. when; buried C. that; burying D. when; burying
+【答案】：B
+【解析】：【详解】考查时间状语从句和过去分词。句意:地震发生时是凌晨3点。数百人丧生,许多人被埋在倒塌的废墟中。第一空是when引导的时间状语从句。第二空是with的独立主格结构,with+宾语+过去分词,a lot和bury之间是被动关系,所以此空填buried。故选B。。
+
+
+【题干】：At first I thought I understood what my teacher said, but the more he explained, _. A. the more I became confused B. I became confused more C. the more confused I became D. the more confused did I become
+【答案】：C
+【解析】：【详解】考查比较级。该题是 “the +比较级, the+比较级” 结构,表示 “ 越 …… ,越 ……” 。句意:起初我以为我明白了老师所说的,但他越解释我就越迷惑了。故选C。。
+
+
+【题干】：The couple have _ that the cost spent in building their new house will add up to ¥100,000. A. numbered B. calculated C. included D. designed
+【答案】：B
+【解析】：【详解】考查动词。A. numbered编号;B. calculated计算;C. included包括;D. designed设计。句意:这对夫妇已经计算出成本花在建立他们的新房子将添加¥100000。结合句意可知答案为B。。
+
+
+【题干】：I have nothing _ common _ my father. A. in; about B. in; with C. on; of D. with; in
+【答案】：B
+【解析】：【详解】句意:我和我的父亲没有共同点。根据句意及题干分析“共同的”是in common,with sb.“和某人一起”,故答案为B。。
+
+
+【题干】：_many other scientists, Albert Einstein enjoyed music besides scientific research work. A. In common with B. In common C. In spite of D. Regardless of
+【答案】：A
+【解析】：【详解】考查词组。A. In common with与-一样;B. In common共同的; C. In spite of尽管;D. Regardless of不管,不顾。句意:和许多其他科学家一样,爱因斯坦除了从事科研工作外,还喜欢音乐。结合句意可知答案为A。。
+
+
+【题干】：After that, feeling the need to further, I decided to drop in on one of ASL club’s meetings. A. exercise B. explore C. express D. explain
+【答案】：B
+【解析】：【详解】考查动词词义辨析。句意:在那之后,觉得需要进一步探索,我决定去参加一个ASL俱乐部的会议。A. exercise锻炼;B. explore探索; C. express表达;D. explain解释。由“I decided to drop in on one of ASL club’s meetings”可知,explore“探索”符合句意。故选B项。。
+
+
+【题干】：In the dark I could see a man lying on the floor, _up with rope, which was_. A. tied; terrified B. tied; terrifying C. was tied; terrified D. was tied; terrifying
+【答案】：B
+【解析】：【详解】考查过去分词和形容词。句意:黑暗中,我看见一个人躺在地上,被绳子捆着,真恐怖。第一空tied up with the rope“用绳子捆着”,此处是过去分词作伴随状语;terrifying“令人害怕的”,terrified“感到害怕的”,此处指“这件事是令人害怕的”,答案为terrifying。故选B。【点睛】表示情感的现在分词和过去分词 surprising令人惊讶的,surprised感到惊讶;frightening令人害怕的, frightened感到害怕; moving令人感动的, moved 感动;exciting 令人兴奋的,excited 感到兴奋;boring令人厌烦的, bored感到厌烦;terrifying令人害怕的,terrified感到害怕的。现在分词的主语通常指事物;过去分词的主语通常指人。。
+
+
+【题干】：In the past, _didn’t make much of a difference to your success_ you had a good family background. A. that; if B. it; whether C. that; whether D. it; if
+【答案】：B
+【解析】：【详解】考查形式主语和主语从句。句意:在过去,是否有良好的家庭背景对你的成功并没有太大的影响。此处是it作形式主语,后面的主语从句是真正的主语,且if作“是否”讲时不能引导主语从句,故答案为B。。
+
+
+【题干】：Someone _the tap on, for the water was running over and flooding the bathroom. A. could leave B. must have left C. might leave D. should have left
+【答案】：B
+【解析】：【详解】考查情态动词+完成式。句意:一定是有人没关水龙头,因为水溢出来淹了浴室。must have done表示对过去是清有把握的坑定推测,意思是“一定是做某事了”,故选B。【点睛】情态动词+ have done结构: 1.“must + have + 过去分词”表示对过去发生的事情或状态进行推测,语气比较坚定,通常只用于肯定句.如:It must have rained last night,for the ground is wet. 2.“can / could + have + 过去分词”表示对过去某种情况的怀疑或不确定.can和could一般用于否定句和疑问句,could的语气较can弱.如:He can't have finished the work so soon. 3.“may / might + have + 过去分词”表示对已发生的动作或存在的状态进行不肯定的推测,might的语气比may弱一点.这种结构主要用于肯定句和否定句,疑问句改用can或could.如:They may not have known it beforehand. 4.“need + have + 过去分词”表示过去做了不必做或不需要做的事情,或过去做某事纯属多余.如:I needn't have bought so much wine—only five people came. 5.“should / ought to + have + 过去分词”表示过去本该做某事但没做,其否定式表示过去不该做某事但做了,这种句式含有不满或责备之意,ought to的语气比should强一些.如: You ought to / should have studied harder.你本应该更努力学习的.(但没有) He oughtn't to / shouldn't have done that.他本来就不该做那件事.(可是做了) 6.“would + have + 过去分词”表示对过去的某种情况进行猜测,或本来要做某事却因某种原因未做成,通常用来说明某一情况,但不像用should或ought to那样含有责备之意.如: I guess the poet would have been about twenty when she wrote her first poem. Another worker wouldn't have acted like that.。
+
+
+【题干】：Extra warmth from sunlight can put an additional _on the air-conditioning system. A. weight B. anxiety C. load D. tiredness
+【答案】：C
+【解析】：考查名词辨析【详解】句意:来自阳光的额外热量可以增加空调系统的工作负荷。A. weight 重量; B. anxiety 焦虑;C. load 负担; D. tiredness 疲倦。根据题干中的Extra warmth from sunlight可以得知会增加空调的工作负担。故选C。。
+
+
+【题干】：To the readers' disappointment, the leading article in this issue of the magazine is _ rubbish. A. a load of B. a great many C. many a D. a number of
+【答案】：A
+【解析】：考查短语辨析【详解】句意:令读者们失望的是,这一期杂志上关于这个问题的主导文章是一堆垃圾。A. a load of 后面可以修饰可数名词复数或不可数名词; B. a great many 后面可以修饰可数名词复数;C. many a 后面可以修饰可数名词单数 D. a number of 后面可以修饰可数名词复数,四个选项中只有A可以修饰不可数名词。a load of rubbish是一派胡言的意思,故选A。【点睛】a load of后面通常接可数名词复数或不可数名词。 a load of=loads of大量;许多 例句: His people came up with a load of embarrassing information. 他的部下亮出一大堆令人尴尬的资料来。 Uncle Jim brought a whole load of presents for the kids. 吉姆大叔给孩子们带来了一大堆礼物。 备注: a load of rubbish, garbage, nonsense, etc. (强调错误、愚蠢、糟糕等)胡说八道,废话 例句:You're talking a load of rubbish.一派胡言。。
+
+
+【题干】：With the development of modern electrical engineering, we can send power to _it is needed. A. whenever B. whatever C. whichever D. wherever
+【答案】：D
+【解析】：【详解】考查地点状语从句。句意:随着现代电气工程的发展,我们可以把电力送到任何需要的地方。结合句意可知此处是wherever引导的地点状语从句,故答案为D。。
+
+
+【题干】：My sister will be able to live more tolerantly than others _ she ends up doing after graduation. A. whenever B. wherever C. whatever D. however
+【答案】：C
+【解析】：【详解】考查状语从句。句意:无论我姐姐毕业后做什么,她都能比别人活得更宽容。此处状语从句缺少引导词,且从句谓语动词ends up doing中缺少宾语,所以这里是whatever引导的让步状语从句,故答案为C。。
+
+
+【题干】：the reason, research shows that in the end, the English saying, `Laughter is the best medicine', may be true after all. A. Whichever B. However C. Whatever D. Whenever
+【答案】：C
+【解析】：【详解】考查让步状语从句。句意:不管原因是什么,最终研究表明,英国人说的“笑是最好的药”可能是真的。A. Whichever无论哪一个;B. However无论怎样;C. Whatever无论什么;D. Whenever无论何时。结合句意可知此处是Whatever引导的让步状语从句,故选C。。
+
+
+【题干】：If I _ hard in the past few years, things wouldn’t be going so smoothly. A. had not been working B. has not been working C. was not working D. were not working
+【答案】：A
+【解析】：【详解】考查虚拟语气。句意:如果我过去几年没有努力工作,事情就不会这么顺利。有过去的时间:过去的五年里.-,所以与过去事实相反,虚拟语气的句式:if 主语+ had 过去分词-,主语 +should/would +have+ 过去分词。故选A。。
+
+
+【题干】：He has just arrived, but he talks as if he _ all about that. A. know B. knows C. known D. knew
+【答案】：D
+【解析】：【详解】考查as if引导的虚拟语气。句意:他刚到,但他说话的样子好像他知道这一切。as if表示不可能发生的事情时用虚拟语气,此处与现在的事实相反,句子用一般过去时态,故答案为D。。
+
+
+【题干】：_for my illness I would have lent him a helpng hand. A. Not being B. Had it not been C. Without being D. Not having been
+【答案】：B
+【解析】：【详解】考查if引导的虚拟语气。句意:“如果我没生病的话,我就会帮助他。”主句用了would have lent ,现在完成式,则从句就要用过去完成时,即:had done。当虚拟句中的if省略时,从句中的had要提前。故选B。【点睛】If引导的虚拟语气: 1.表示与现在事实相反的情况 从句:If+主语+动词一般过去时(Be动词用were)主句:主语+ should/would/might/could+do:If I were you,I would take an umbrella.如果我是你,我会带把伞。(事实:我不可能是你) 2.表示与过去事实相反的情况 从句:If+主语+had+done主句:主语+should/would/might/could+have done:If I had got there earlier,I should/would have met her.如果我早到那儿,我就会见到她。(事实:去晚了) 3.表示与将来事实相反 从句:①if+主语+were to do②if+主语+should+do③if+主语+动词一般过去式(be动词用were)主句:主语+should/would/might/could+do:If he should come here tomorrow,I would talk to him.如果他明天来这儿的话,我就跟他谈谈。(事实:来的可能性很小,不可能) 温馨提示:if引导的虚拟语气中,如果把if省略则把were/should/助动词had提到主语的前面。比如:Had I got there earlier,I should/would have met her.如果我早到那儿,我就会见到她。。
+
+
+【题干】：It was ordered that no smoking _ in the library. A. be allowed B. would be allowed C. was allowed D. has been allowed
+【答案】：A
+【解析】：【详解】考查虚拟语气。句意:图书馆规定不允许吸烟。在It's ordered that……从句中用should 加动词原形,其中should可以省略。故选A。。
+
+
+【题干】：_, the student insisted that he _ separated from his desk mate, who is very naughty. A. To avoid being affected; be B. To avoid to be affected; would be C. Avoid being affected; should be D. Avoiding to be affected; be
+【答案】：A
+【解析】：【详解】考查非谓语动词及虚拟语气。句意:为了避免受到影响,这个学生坚持要求他应该和他非常淘气的同桌分开。固定短语avoid doing sth“避免做某事”,与逻辑主语the student为被动关系,故用被动语态avoid being done。根据句意,逗号前面部分应该是目的状语,故用不定式作目的状语。第二空动词insist为“坚持要求”之意,后接从句用“(should) + 动词原形”,其中should可以省略。故选A。【点睛】insist的宾语从句的用法一般分为两种情况: 1)如果insist翻译为“坚持说/坚持认为”,且宾语从句的动作为已经发生的情况,此时宾语从句采用正常的陈述语气。如:He insisted that he was right. 他坚持说/认为他是对的。 2)如果insist翻译为“坚决主张/要求”,即宾语从句的动作当时尚未发生,此时宾语从句必须采用虚拟语气,构成为从句谓语动词用“(should) + 动词原形”,其中should可以省略。如:He insisted that he (should) be praised for what he had done. 3)此题中的insist所引导的宾语从句采用了虚拟语气,即he be separated... = he should be separated...。
+
+
+【题干】：He bought a book with the _ 50 dollars and then his money _. A. remaining; ran out of B. remaining; was used up C. remained, ran out D. remained, gave out
+【答案】：B
+【解析】：【详解】考查形容词及动词短语。句意:他用剩下的50美元买了一本书,然后他的钱就用完了。remaining是形容词,意为“剩余的”,常作前置定语;use up“用完”是及物动词,用被动语态,run out of意为“用完了”,是及物短语,表示主动意义,主语一般是人。run out意为“……用完了”,是不及物短语,其主语通常为时间、食物、金钱等名词。give out用尽,精疲力竭,为不及物短语。故选B。。
+
+
+【题干】：-It’s a lovely day, isn’t it? -Yes. I appreciate _when the weather is like this. Why don’t we sit outside and have our lunch? A. this B. that C. it D. one
+【答案】：C
+【解析】：【详解】考查代词。句中it 作形式宾语,真正的宾语为when the weather is like this。动词love,like,hate,dislike,enjoy,prefer,appreciate等词后一般不能直接接句子前面加it,然后再接when或if 所引导的句子。故选C。。
+
+
+【题干】：Although a snowstorm is on the way, football fans are still looking forward _ the football match between the two teams. A. to calling off B. to not calling off C. not to call off D. not to calling off
+【答案】：B
+【解析】：【详解】考查动词短语用法。句意:虽然一场暴风雪即将来临,但球迷们仍在期待不取消两队之间的足球比赛。短语look forward to期望,to为介词,故用v-ing形式,其否定形式用在v-ing前。故选B。。
+
+
+【题干】：He made a great show of being _ of her in front of other people, but he was only toying with her. A. crazy B. fond C. addicted D. interested
+【答案】：B
+【解析】：【详解】考查固定短语。句意:他在别人面前装出很喜欢她的样子,但实际上他只是在玩弄她。be fond of喜爱,故答案为B。。
+
+
+【题干】：The girl seems to be _ experience as far as I am concerned. A. short of B. for short C. in short D. short for
+【答案】：A
+【解析】：【详解】考查固定短语。A. short of缺乏,不足;B. for short简称;C. in short简而言之;D. short for是-的略称。句意:就我而言,这个女孩似乎缺乏经验。故选A。。
+
+
+【题干】：Convenient _ plastic bags are for people, they will cause white pollution. A. as B. although C. since D. while
+【答案】：A
+【解析】：【详解】考查形式倒装句。句意:对人们来说尽管塑料袋很方便,但它们会导致白色污染。句中形式倒装句“Convenient as plastic bags are for people”相当于让步状语从句“Although plastic bags are convenient for people”,故A项正确。【点睛】本句考查了as引导让步状语从句倒装的用法:具体如下: 名词 + as / though + 主语 + 动词 King as he was,he was unhappy. 他虽是国王,但他并不幸福。 Child as he is,he knows to help other. 他虽是个孩子,却知道帮助别人。 【说明】其中的动词通常为系动词,也就是说位于句首的名词是其后系动词的表语。另外,要特别注意位于句首的名词前习惯上不用冠词,即使其前有形容词修饰也不用冠词。比较: Boy as he is, he likes to play with girls.=Though he is a boy,he likes to play with girls. 他虽是男孩,却喜欢与女孩子玩。 Strong man as he is,General Botha has been severely put to the test during the past few weeks.= Though he is a strong man, General Botha has been severely put to the test during the past few weeks. 波赛将军虽然坚强,但在过去的数周里也受到了严峻的考验。 二、形容词 + as / though + 主语 + 动词 Successful as he is,he is not proud. 他虽然成功,但不骄傲。 Improbable as it seems,it’s true. 虽然看起来不太可能,但却是真的。 Stupid as it sounds,I was so in love with her that I believed her. 尽管听起来很愚蠢,我是如此爱她竟然相信了她的话。 Patient as he was,he didn’t like waiting that long. 他虽说有耐心,也不愿等这么长。 Beautiful though the necklace was,we thought it was over-priced. 那条项链虽然很漂亮,我们认为价钱太高。 【说明】其中的动词也通常为系动词,也就是说位于句首的形容词是其后连系动词的表语。 三、副词 + as / though + 主语 + 动词 Much as I like Paris,I couldn’t live there. 尽管我喜欢巴黎,但我不能住在那里。 Hard though they tried,they couldn’t make her change her mind. 尽管他们做了很大努力,却没法让她改变主意。 Fast as you read, you can’t finish the book in two days. 尽管你读得很快,你总不能在两天之内就读完这本书。 He was unable to make much progress,hard as he tried. 尽管他做了努力,却未能取得很大进步。 【说明】有的词典将 much as 作为习语看待,认为它是一个用以引导让步状语从句的复合连词。再如: Much as I admire him as a writer,I do not like him as a man. 他作为一名作家我很佩服他,但我却不喜欢他这个人。 Much as I like you,I couldn’t live with you. 我尽管很喜欢你,却不能和你在一起生活。 四、动词原形 + as / though + 主语 + 动词 Object as you may,I’ll go.纵使你反对,我也要去。 Try as he might,he couldn’t solve the problem. 尽管他想方设法,却未解决这个问题。 Search as they would,they would find nobody in the house. 无论怎样搜查,他们在房子里仍然没有找到一个人。 Dislike him as we may,we must acknowledge his greatness. 尽管我们不喜欢他,但必须承认他的伟大。 Lose money as I did,we got a lot of experience. 钱虽然丢了,我们却得到了许多经验。 Fail in the election as he did,he became famous for his fiery speech against slavery. 尽管落选了,但他却以其反对奴隶制的激烈演说而出了名。 【说明】主语后的动词通常为 may,might,would,did 等情态动词或助动词(如表示情态意义,则选用情态动词;若陈述事实,则用 did,do 等助动词)。 五、分词 + as / though + 主语 + 动词 Raining hard as it is,I’m going out for a walk. 虽然正在下着大雨,我还是要出去散步。 Surrounded as we were by the enemy,we managed to march forward. 虽然我们被敌人包围着,但我们还是设法前进了。 Munching the apple as he was,he had got an eye for all John’s movements. 他尽管在一个劲地嚼着苹果,但仍警惕着约翰的一举一动。
+
+
+【题干】：Taking exercise is the key _ your health. A. to improve B. to improving C. in improving D. of improving
+【答案】：B
+【解析】：【详解】考查固定短语及动名词。句意:锻炼是改善健康的关键。名词短语the key to….意为“...的关键”,其中to是介词,后面要接名词或动名词做宾语。所以动名词improving your health做to的宾语。故B项正确。。
+
+
+【题干】：I believe that Mary hurt her mother’s feelings consciously rather than _ as she said. A. in advance B. by chance C. on purpose D. for sure
+【答案】：B
+【解析】：【详解】考查介词短语。A. in advance提前;B. by chance偶然地,意外地;C. on purpose故意地;D. for sure确信;句意:我认为Mary故意伤害了他母亲的感情,而不是像她所说的意外。根据句意可知B项正确。。
+
+
+【题干】：Life is a tough journey, to some extent, _ you still smile and love even though you are occasionally hurt and betrayed. A. where B. what C. when D. which
+【答案】：A
+【解析】：【详解】考查定语从句。句意:生活是一段艰难的旅程,在某种程度上,即使你偶尔在其中受到伤害和背叛,你仍然会微笑和爱。you still smile and love even though you are occasionally hurt and betrayed.是定语从句,先行词是journey,在从句中做状语,表示抽象的地点。故选A。【点睛】定语从句中,当先行词是journey, job, situation, stage, condition, point, case, position等抽象名词时,常把它们看作表示地点的抽象名词,在从句中作状语时用where来引导从句。。
+
+
+【题干】：— I have to go now because I must be _ for class. — What a pity! See you! A. modest B. punctual C. desperate D. adequate
+【答案】：B
+【解析】：【详解】考查形容词词义辨析。句意:-我现在不得不走了,因为我必须准时去上课。-真遗憾,再见!A. modest谦虚的;B. punctual准时的;C. desperate绝望的;D. adequate充足的,充分的。根据句意可知,应选B。。
+
+
+【题干】：— Can we play basketball in the school gym? — No, it _ during the summer holidays. A. is repaired B. is being repaired C. was repaired D. has been repaired
+【答案】：B
+【解析】：【详解】考查时态语态。句意:-我们可以在学校操场上打篮球吗?-不行,暑假期间操场正在被修葺。根据句意可知,这里是表示正在进行,所以要用现在进行时。主语it和动词之间是被动关系,所以要用被动语态。故选B。。
+
+
+【题干】：Smoking, which may be _ pleasure for some people, is _ serious source of discomfort for their fellows. A. /; a B. a; a C. a; / D. a; the
+【答案】：B
+【解析】：【详解】考查冠词。句意:吸烟,对某些人来说可能是一件快乐的事情,而对于他们的同事来说却是产生严重不适的根源。抽象名词一般是不可数名词,但在表示“具体的人或事物”时,就转化为一个可数名词,在其前面加上a/an表示“一个﹍的人”或“一件﹍的事(物)”。pleasure作“快乐,愉快”讲时为不可数的抽象名词,而a pleasure表示“一件快乐的事情”,为抽象名词具体化。source为可数名词,意思为“来源,起源,根源”,根据题意,在其前面加a表示“一种根源”,综上所述,选B。。
+
+
+【题干】：Most students appreciate their teachers _ kind but strict at the same time. A. to be B. being C. be D. been
+【答案】：B
+【解析】：【详解】考查固定用法。句意:大多数学生欣赏他们的老师和蔼而且严格。appreciate sb. doing “欣赏某人做…”,为固定用法,故此处填being,故正确答案为B。。
+
+
+【题干】：Nancy and Heather _ for Shanghai to attend an international meeting yesterday. A. put off B. fell off C. set off D. kept off
+【答案】：C
+【解析】：【详解】考查动词词组辨析。句意:Nancy和Heather昨天动身去上海参加一个国际会议。put off,推迟;fall off跌落;set off动身;keep off使﹍不接近。句中缺少“动身”的意思,故选C。。
+
+
+【题干】：The house which I grew up in has been taken down and replaced by an office building _ wall is yellow. A. of which B. where C. whose D. on which
+【答案】：C
+【解析】：【详解】考查定语从句。句意:我长大的房子已经被拆除了,取而代之的是一幢黄色的办公楼。此处building是先行词,在后面的定语从句中作定语修饰wall,选项中只有whose作定语,故选C。。
+
+
+【题干】：She spoke_ her son, saying that he was still a child who sometimes would do wrong things. A. in memory of B. in defense of C. in search of D. in need of
+【答案】：B
+【解析】：【详解】 考查介词短语辨析。句意:她为她的儿子辩护,说他还是个孩子,难免有时会做错事。A. in memory of纪念……;B. in defense of为……辩护;C. in search of寻找;D. in need of需要。根据“saying that he was still a child who sometimes would do wrong things.”可知此处表示“为……辩护”,故选B。。
+
+
+【题干】：-Is your Uncle Tom a soldier? -No, but he once _ in the army for 4 years. A. served B. is serving C. has served D. was serving
+【答案】：A
+【解析】：【详解】考查时态。句意:——你的叔叔Tom现在是一名士兵吗?——不是,但是他曾经在军队里服役4年。serve可以作为及物动词“服务”,也可以作为不及物动词“服役”,本句中serve in the army在军中服役,中的serve是不及物动词。根据句意和once“曾经”可知句子用一般过去时态,故选A。。
+
+
+【题干】：People come into your life for a reason, a season or a lifetime. When you_ which one it is, you will know what to do for each person. A. give out B. leave out C. turn out D. figure out
+【答案】：D
+【解析】：【详解】考查动词短语。A. give out 分发,发出;B. leave out遗漏,省略;C. turn out结果是;D. figure out明白,理解。句意:人们进入你的生活是有原因的,一个季节或一生。当你弄清楚是哪一个,你就会知道该为每个人做些什么。结合句意可知答案为D。。
+
+
+【题干】：The treatment will continue until the patient reaches the point_ he can walk. A. that B. why C. which D. where
+【答案】：D
+【解析】：【详解】考查定语从句。句意:治疗将继续进行,直到病人能够行走为止。此处point“要点”做先行词,在后面的定语从句中作地点状语,所以这里是where引导的定语从句,故答案为where.。
+
+
+【题干】：When People’s Bank of China announced that we should stop the use of bitcoin(比特币),there was fear among those who had had their Chinese Yuan _ for bitcoin. A. misunderstood B. desired C. mistaken D. traded
+【答案】：D
+【解析】：【详解】考查过去分词。A. misunderstood误解;B. desired渴望;C. mistaken弄错;D. traded交易。句意:当中国人民银行(pboc)宣布我们应该停止使用比特币时,那些曾用人民币兑换比特币的人感到担忧。固定结构:have+宾语+过去分词,此处Chinese Yuan和trade之间是被动关系,是过去分词作宾语补足语,故答案为D。。
+
+
+【题干】：Healthy eating along with exercise is probably the only way_ can help you become fit. A. which B. that C. in which D. by which
+【答案】：B
+【解析】：【详解】考查定语从句。句意:健康的饮食加上规律的锻炼可能是帮助你变得健康的唯一方法。此处先行词是the way,由the only修饰,在后面的定语从句中作主语,定语从句由that引导,故选B。。
+
+
+【题干】：Remove clothing using scissors if necessary _ it is stuck to the bum. A. unless B. until C. although D. because
+【答案】：A
+【解析】：【详解】考查状语从句。A. unless除非;B. until直到-为止;C. although尽管;D. because因为。句意:如果有必要,用剪刀把衣服剪下来,除非它粘在屁股上。结合句意可知此处是unless引导的条件状语从句,故选A。。
+
+
+【题干】：A distant relative is not _ a near neighbor. A. so far as B. as well as C. as good as D. so long as
+【答案】：C
+【解析】：【详解】考查as-as结构。句意:远亲不如近邻。此处考查形容词原级,not as/so+形容词原级+as“-和-是不一样的”。结合句意可知答案为C。。
+
+
+【题干】：—I’m afraid Mary isn’t in. —Oh well,I’ll _later. A. ring back B. ring off C. ring up D. ring out
+【答案】：A
+【解析】：【详解】考查动词短语辨析。句意:——恐怕玛丽不在家。——好吧,我晚会儿再打来。A. ring back(=phone sb. again)再打电话来;B. ring off挂断电话;C. ring up给……打电话;D. ring out发出响亮而清晰的声音。由“later”可知,ring back符合语境。故A选项正确。。
+
+
+【题干】：With no one to _ in such a frightening situation, she felt very helpless. A. turn on B. turn off C. turn around D. turn to
+【答案】：D
+【解析】：【详解】考查动词短语辨析。句意:因为在这样恐怖情况下没有可以求助的人,所以她感到无助。A. turn on打开;B. turn off关闭;C. turn around转身;D. turn to求助于。由“she felt very helpless.”可知,她感到无助。所以判断出她没有可以求助的人。故D选项正确。。
+
+
+【题干】：Yesterday I tried to call you several times but I couldn’t _ to you. A. call up B. ring up C. get through D. go through
+【答案】：C
+【解析】：【详解】考查动词短语辨析。句意:昨天我给你打了好几次电话,但是都打不通。A. call up 给...打电话;使回忆起; B. ring up给...打电话; C. get through 接通(电话);D. go through通过; 穿过。由“several times 和 couldn’t”可知,get through符合句意。故C选项正确。【点睛】get through与go through构词结构相似,词义丰富,比如两者均可意为:通过;做完;用光。意思区别如下: get through 1.接通、打通(电话);2.通过(考试);3.完成(工作);4.用完、花光(钱);5.到达、送到;6.使理解、使明白;7.使(法律、法案)通过;8.读完(书) go through 1.经历、遭受;2.被通过;3.花费;4.仔细检查;5.详细讨论;6.完成、做完;7.看(做、练)一遍;8.通过、穿过;9.履行、参加。 分析本句,由“several times 和 couldn’t”可知,get through“接通(电话)”符合句意。故C选项正确。。
+
+
+【题干】：The contract cannot be signed by anyone _ yourself. A. better than B. more than C. rather than D. other than
+【答案】：D
+【解析】：【详解】考查固定短语。句意:这个合同只能由我自己签署。A. better than比……更好;B. more than不仅仅;C. rather than而不是;D. other than除……之外。故D选项正确。。
+
+
+【题干】：John talked with me for about an hour yesterday. Never him talk so much. A. I heard B. did I hear C. I had heard D. had I heard
+【答案】：D
+【解析】：【详解】考查时态和倒装。句意:约翰昨天和我谈了约一个小时的话。我以前从未听过他说那么多话。根据句意可知,hear所表示的动作发生在talked所表示的动作之前,表示过去的过去,应用过去完成时; 又因表示否定意义的副词never位于句首时,句子需用部分倒装。故D选项正确。。
+
+
+【题干】：—I always want to eat something at this time of day. — . Let’s have a snack now and then have a light lunch later. A. So I do B. Neither do I C. So do I D. Neither I do
+【答案】：C
+【解析】：【详解】考查倒装。句意:——我每天这个时候总是想吃点东西。——我也是。我们现在吃一些零食,随后午饭就少吃一点吧。表示后者与前者有一样的肯定情况时,用倒装句“so+助动词/情态动词/be动词+主语”。故C选项正确。【点睛】表示后者和前者一样有某种肯定/否定情况时,用倒装句“so/neither+助动词/情态动词/be动词+主语”,表示前面提到的某种肯定/否定情况确实存在时,用“so/neither+主语+助动词/情态动词/be动词”。。
+
+
+【题干】：—These children are always arguing. — After a while, they will be OK. A. Just leave them alone. B. Not to mention it. C. Are you sure? D. How old are these children?
+【答案】：A
+【解析】：【详解】考查情景交际。句意:——这些孩子老是争吵。——别理会他们,过一会儿他们就好了。A. Just leave them alone. 别管他们;B. Not to mention it.不客气;C. Are you sure?你确定吗?D. How old are these children?这些孩子多大了?故A选项正确。。
+
+
+【题干】：Only after the war in the Syrian Arab Republic is over a peaceful life there. A. did people live B. people lived C. people can live D. can people live
+【答案】：D
+【解析】：【详解】考查时态与倒装。句意:只有叙利亚的战争结束后,那里的人们才能过上和平的生活。“only+状语从句”放在句首时,主句要用部分倒装,且根据从句中所用的一般现在时可知,主句也应用一般现在时。故D选项正确。。
+
+
+【题干】：Even the best writers sometimes find themselves _ for words. A. lose B. to lose C. lost D. having lost
+【答案】：C
+【解析】：【详解】考查find复合结构。句意:即便是最优秀的作家,有时也会发现自己难以用文字来表达(某些东西)。find oneself +adj.表示“发现自己……”,此处是用形容词作宾语补足语。lost“失去的;丧失的;迷惑的”。故C选项正确。。
+
+
+【题干】：Though its GDP ranks second in the world, China remains a developing country with its average family income far below of Western developed countries. A. it B. those C. one D. that
+【答案】：D
+【解析】：【详解】考查代词。句意:虽然中国的GDP世界排名第二,但它仍然是一个发展中国家,其家庭平均收入远低于西方发达国家的家庭平均收入。空处指代前面提到的"average family income",同名不同物,且表示特指,故用that。故D选项正确。。
+
+
+【题干】：With time going on, changes will _ as we have expected. A. happen B. occur C. take place D. come about
+【答案】：C
+【解析】：【详解】考查动词及短语辨析。句意:随着时间的流逝,变化将如我们期望的那样发生。take place表示按计划举行或发生,符合题意。happen作“发生、碰巧”解,一般用于偶然或突发性事件;occur较正式,指具体或抽象的事物,按计划或规律在较为确定的时间“发生”;come about“发生;产生”,多指事情已经发生了,但还不知道为什么,常用于疑问句和否定句。故C选项正确。。
+
+
+【题干】：The year of 2012 will _ an enormous number of changes around the world. A. occur B. strike C. find D. witness
+【答案】：D
+【解析】：【详解】考查动词辨析。句意:2012年将会见证全球的很多变化。A. occur发生; B. strike 打;C. find发现; D. witness 见证。witness表示“见证”,符合语境。故D选项正确。。
+
+
+【题干】：But the _ would no doubt be greater if you were living on the streets with little food and money. A. hope B. aim C. urge D. effort
+【答案】：C
+【解析】：【详解】考查名词辨析。句意:但是,如果你生活在没有食物和钱的街道上,这种欲望无疑会更强烈。A. hope希望;B. aim目标;C. urge欲望;D. effort努力,故选C符合语境。。
+
+
+【题干】：There were twenty students in this small-sized class, came from the same mountain village. A. most of whom B. most of them C. most of which D. most of that
+【答案】：A
+【解析】：【详解】考查定语从句。句意:这个小型的班级有20名学生,他们中的大部分人都来自同一个山村。空处属于“名词/数词/不定代词+of+关系代词(which/whom)”结构,该结构中of通常表示所属关系;如果先行词指物,就用which,指人就用whom。句中先行词是students,故用most of whom,“名词/数词/不定代词+of+关系代词”的替换结构是“of+关系代词+名词/数词/不定代词”,故选A。。
+
+
+【题干】：_ the service, it is generally good but there’s still much room for improvement. A. Apart from B. As for C. On account of D. In case of
+【答案】：B
+【解析】：【详解】考查介词短语。句意:至于服务,大体上很好,但是仍有很多改善的空间。A. Apart from除了;B. As for至于,关于;C. On account of因为,由于;D. In case of万一。结合句意可知选B。。
+
+
+【题干】：Governments around the world increasingly _ artificial intelligence to help promote economic growth. A. put out B. roll out C. make out D. reach out
+【答案】：B
+【解析】：考查动词短语辨析。【详解】句意:世界各国政府越来越多地推出人工智能来帮助促进经济增长。A. put out熄灭;B. roll out推出;C. make out理解;认出;D. reach out伸出。根据句意故选B。。
+
+
+【题干】：-Excuse me, but why am I not allowed to use the gym? -_, but your room price doesn't cover it. A. No hurry B. No wonder C. No offence D. No problem
+【答案】：C
+【解析】：考查固定短语辨析。【详解】句意:-对不起,为什么不允许我使用健身房? –无意冒犯,但是你的房间价格不包括它。本题考查固定短语辨析。A. No hurry不必着急;B. No wonder难怪;C. No offence无意冒犯;D. No problem没问题。由下文“你的房间价格不包括健身房”可知,前面是礼貌用语无意冒犯。故选C。。
+
+
+【题干】：I am a better reader this year than I was last year because I _ to hundreds of new concepts and ideas. A. have exposed B. had been exposed C. have been exposed D. was exposed
+【答案】：C
+【解析】：考查时态。【详解】句意:今年我比去年更擅长阅读,因为我接触了数百种新的概念和想法。由上文可知“阅读”的动作发生在去年,延续到今年,并对现在产生了影响,故应为现在完成时。Expose“暴露;揭发”为瞬间性动词,此处现在完成时需改为延续性动词表示“接触”的状态,故用be exposed。综上本题最终选C。。
+
+
+【题干】：An exhibition with 885 cultural relics to be displayed _ at the Meridian Gate Gallery. A. was held B. would hold C. has hold D. will be held
+【答案】：D
+【解析】：考查时态语态。【详解】句意:午门画廊将展出885件文物。上文中的to be displayed表将来,故本句为一般将来时。且主语An exhibition与谓语动词hold构成被动关系,故用will be held。故选D。。
+
+
+【题干】：Nicholas was very kind, merciful and generous. This is _ Father Christmas is based on. A. where B. how C. what D. why
+【答案】：C
+【解析】：【详解】考查名词性从句连接词。句意:尼古拉斯非常善良、仁慈、慷慨。这就是圣诞老人的由来。本句为表语从句,从句中缺少on的宾语,故选择连接代词。且on的宾语指代上文“尼古拉斯非常善良、仁慈、慷慨”这件事,故选择what指代事件、内容。故选C。【点睛】名词性从句连接词选择方法 [连接代词] 当名词性从句中缺少主语、宾语或表语时,使用连接代词。常用的有what,who(m),whoever,which,whose等。what根据不同语境和所表示的意思可以灵活翻译成“……的(话、东西、地方、时候、样子等)”;who具有疑问意义,意思是“谁”;whoever没有疑问意义,意思是“……的任何人”,相当于anybody who;which意思是“哪一个”;whose在句中作定语。 如本题考查表语从句,从句中缺少on的宾语故选择连接代词。且on的宾语指代上文“尼古拉斯非常善良、仁慈、慷慨”这件事,故选择what指代事件、内容。故选C。 [连接副词] 当名词性从句中主干齐全,根据意思我们判断出缺少状语时,使用连接副词。常用的有when, where, why和how,分别表示时间、地点、原因和方式。这些连接副词既起连接作用,本身又作从句的状语。 [从属连词] 当名词性从句主干齐全,又不缺少状语时,使用从属连词引导。从属连词有that, whether和if。当从句中不缺少成分,只是陈述一件事实时,用that引导;当从句中不缺少成分,有“是否”的含义时,用whether或if引导。 whether与if在引导动词后的宾语从句时,两者一般可以互换,但在下列情况下一般只能用whether,不用if: 1. 引导主语从句并在句首时; 2. 引导表语从句时; 3. 引导从句作介词宾语时; 4. 从句后有or not时; 5. 后接动词不定式时。。
+
+
+【题干】：I wish you wouldn't be so_; you make faces at everything I say. A. weird B. polite C. reluctant D. serious
+【答案】：A
+【解析】：考查形容词词义辨析。【详解】句意:我希望你不要那么古怪,我说的一切你都做鬼脸。由下文的make faces可知上文应是要求不要捣乱,装怪。A. weird怪异的;B. polite有礼貌的;C. reluctant相关的;D. serious严肃的。根据选项可知应选A。。
+
+
+【题干】：The bus accident in Chongqing has aroused people's awareness that the bus _ bad-tempered passengers. A. takes up B. takes down C. takes off D. takes on
+【答案】：D
+【解析】：【详解】考查动词词组。A. takes up拿起,从事; B. takes down记下,拿下;C. takes off 脱掉,飞机起飞; D. takes on呈现。句意:重庆公交事故引起了人们对公交车乘客脾气暴躁的认识。D项符合句意。。
+
+
+【题干】：_the AI robots _earlier, the production efficiency would have been improved. A. Were; invented B. Had; been invented C. Had; invented D. Have; been invented
+【答案】：B
+【解析】：【详解】考查省略if的虚拟语气。句意:如果人工智能机器人早点发明,生产效率就会提高。此处是if引导的非真实条件句,与过去事实相反,从句用过去完成时态,当if省略时,用部分倒装,将助动词had提到主语的前面。故选B。【点睛】If引导的虚拟语气: 1.表示与现在事实相反的情况 从句:If+主语+动词一般过去时(Be动词用were)主句:主语+ should/would/might/could+do:If I were you,I would take an umbrella.如果我是你,我会带把伞。(事实:我不可能是你) 2.表示与过去事实相反的情况 从句:If+主语+had+done主句:主语+should/would/might/could+have done:If I had got there earlier,I should/would have met her.如果我早到那儿,我就会见到她。(事实:去晚了) 3.表示与将来事实相反 从句:①if+主语+were to do②if+主语+should+do③if+主语+动词一般过去式(be动词用were)主句:主语+should/would/might/could+do:If he should come here tomorrow,I would talk to him.如果他明天来这儿的话,我就跟他谈谈。(事实:来的可能性很小,不可能) 特别提示:如果将if省略,则将从句中的be动词were、助动词had/情态动词should/could等提到主语的前面。。
+
+
+【题干】：If she _ make such a simple wish as not to be teased for disability last Christmas, Amy would still feel lonely now. A. had dared not B. hadn’t dared to C. dared not D. didn’t dare to
+【答案】：B
+【解析】：【详解】考查虚拟语气。句意:如果去年圣诞节Amy没有勇气许下这样一个简单的愿望——不要因为残疾而被嘲笑,她现在仍然会感到孤独。根据“last Christmas”判断此处是与过去事实相反的一种假设,应该用过去完成时,故B项正确。。
+
+
+【题干】：Raising a child can be _, but it is well worth it. A. over the moon B. a piece of cake C. on its last legs D. a Herculean task
+【答案】：D
+【解析】：【详解】考查习语。A. over the moon欣喜若狂;B. a piece of cake小事一桩;C. on its last legs奄奄一息;D. a Herculean task一项艰巨的任务、沥尽心血。句意:抚养孩子虽然很费心血,但是很值得。根据句意可知此处表示“沥尽心血”,故D项正确。。
+
+
+【题干】：Fortunately, the number of cyclists running traffic lights is _. A. on the decrease B. on the rise C. on the run D. on the move
+【答案】：A
+【解析】：【详解】考查固定短语辨析。句意:幸运的是,骑自行车闯红灯的人数正在减少。根据Fortunately,可知骑自行车闯红灯的人数正在减少。A. on the decrease在减少中;B. on the rise在增加;C. on the run在逃;D. on the move在活动中,故选A。。
+
+
+【题干】：Attempts must be made to _ the barrier(隔阂) between the two communities. A. break up B. break through C. break down D. break off
+【答案】：C
+【解析】：【详解】考查动词短语辨析。句意:必须设法化解这两个社区之间的隔阂。A. break up打碎; B. break through突破;C. break down化解;D. break off折断,根据题意,故选C。。
+
+
+【题干】：I _ to take a French course this summer, but I changed the plan later. A. planned B. have planned C. was planning D. had planned
+【答案】：D
+【解析】：【详解】考查时态。句意:我原计划今年夏天上法语课,但后来改变了计划。根据but I changed the plan later.可知“但后来改变了计划”已经发生在过去,而“计划今年夏天上法语课”发生在过去的过去,用过去完成时,故选D。。
+
+
+【题干】：Sunglasses will _ your eyes from sunlight. A. guard B. prevent C. protect D. stop
+【答案】：C
+【解析】：【详解】考查动词词义辨析。A. guard保卫;B. prevent阻止;C. protect保护;D. stop阻止。句意:太阳镜可以使你的眼睛免受阳光的照射。protect…from表示“使免受、保护”,故C项正确。。
+
+
+【题干】：John is the tallest boy in the class, _ according to himself. A. five feet high as tall as B. as tall as five feet high C. as five feet high tall as D. as tall five feet high as
+【答案】：B
+【解析】：【详解】考查固定表达。句意:John是班里最高的男生,他自称高达五英尺。as tall as…表示“高达……”作状语修饰five feet high“五英尺高”,故B项正确。。
+
+
+【题干】：The middle-aged man is ready to risk _ his life to save his son. A. to lose B. lose C. lost D. losing
+【答案】：D
+【解析】：【详解】考查非谓语动词。句意:这个中年男子准备冒生命危险去救他的儿子。risk doing表示“冒险干某事”,故D项正确。【点睛】本题需要注意risk作动词时,后面需要接动名词作宾语, risk doing表示“冒险干某事”。。
+
+
+【题干】：Why does teaching as a career _ so many people? A. apply for B. attract to C. appeal to D. agree with
+【答案】：C
+【解析】：【详解】考查动词短语辨析。A. apply for申请;B. attract to把……引向;C. appeal to吸引;D. agree with同意。句意:为什么教师这个职业吸引了这么多人?根据句意可知此处表示“吸引”,故C项正确。。
+
+
+【题干】：The principal's opening _ at the new year's party threw the students into excitement. A. ethic B. remarks C. attention D. possessions
+【答案】：B
+【解析】：【详解】考查名词辨析。句意:校长在新年晚会上的开场白使学生们兴奋不已。A. ethic伦理; B. remarks评论;C. attention注意力;D. possessions财产,根据题意,故选B。。
+
+
+【题干】：One of the _ moments in my life was when I conquered my fear and stood on the stage making a speech to hundreds of people. A. inventive B. distorted C. moral D. significant
+【答案】：D
+【解析】：【详解】考查形容词辨析。句意:我生命中最重要的时刻之一是,我克服了恐惧,站在舞台上向数百人发表演讲。A. inventive发明的;B. distorted歪曲的;C. moral道德的;D. significant重大的,故选D。。
+
+
+【题干】：_ Services at Harvard University offers support to disabled students in finding an ideal place to live in. A. Labor B. Concept C. Ceremony D. Accommodation
+【答案】：D
+【解析】：【详解】考查名词辨析。句意:哈佛大学的住宿服务为残疾学生提供了寻找理想居住地的支持。A. Labor劳动;B. Concept观念;C. Ceremony典礼;D. Accommodation住宿,根据题意,故选D。。
+
+
+【题干】：We should often open windows to make air _ to decrease disease transmission. A. focus B. respond C. affect D. circulate
+【答案】：D
+【解析】：【详解】考查动词辨析。句意:我们应该经常打开窗户,让空气流通,以减少疾病传播。A. focus集中;B. respond回答;C. affect影响;D. circulate使流通,根据题意,故选D。。
+
+
+【题干】：The identical twins _ each other more strongly when they were young. A. handled B. harvested C. resembled D. disturbed
+【答案】：C
+【解析】：【详解】考查动词辨析。句意:同卵双胞胎在年轻时彼此更相似。A. handled使用;B. harvested收获;C. resembled相似;D. disturbed打扰,根据题意,故选C。。
+
+
+【题干】：He graduated from a medical research _ five years ago and has been working as a doctor since then. A. data B. attendance C. context D. institute
+【答案】：D
+【解析】：【详解】考查名词辨析。句意:他五年前从一所医学研究所毕业,从那时起就一直当医生。A. data数据;B. attendance出席;C. context上下文;D. institute学院,根据题意,故选D。。
+
+
+【题干】：- Is it convenient to you if I call you up at 9 o’clock tomorrow morning? - I’m afraid not. I _ a meeting then. A. will have attended B. was attending C. will be attending D. am attending
+【答案】：C
+【解析】：【详解】考查时态。句意:“如果我明天早上9点给你打电话,你方便吗?”“恐怕不行。那时我将参加一个会议。”根据语境时间状语at 9 o'clock tomorrow morning及then(那时候)可知,此处指将来某一时刻正在发生的动作,应使用将来进行时。故C选项正确。。
+
+
+【题干】：- Thank you for reminding me of the time, or I late for the flight yesterday. - Don’t mention it. A. will have been B. would have been C. must be D. could be
+【答案】：B
+【解析】：【详解】考查虚拟语气。句意:“谢谢你提醒我时间,否则昨天我要迟到了。”“不客气。”would+have+done表示对过去事情的假设,意思是“本来会做”。故B选项正确。。
+
+
+【题干】：-Are you satisfied with his school report? -Not at all. It couldn’t have been _. A. worse B. so bad C. better D. the worst
+【答案】：A
+【解析】：【详解】考查形容词。句意:-你对他的成绩单满意吗?-一点都不。没有比这更糟的了。根据语境可知,此处是表达最高级,否定词+比较级可以表达最高级。故选A。。
+
+
+【题干】：The economy in big cities has continued to rise thanks to the local governments to increase _. A. that B. them C. it D. those
+【答案】：C
+【解析】：【详解】考查代词。A. that那个;B. them他们;C. it它;D. those那些。句意:由于地方政府的推动,大城市的经济持续增长。此处需用代词指代上文的economy,指代上文提到的同一事物,常用it。故选C。。
+
+
+【题干】：-Do you think Peter is a good partner? - Not really! There are some things that are not easy to _ , and his laziness is one. A. put aside B. put up with C. think of D. get along with
+【答案】：B
+【解析】：【详解】考查动词短语词义辨析。A. put aside放置;B. put up with 容忍;C. think of思考;D. get along with与…..相处。句意:-你认为彼得是个好搭档吗?—不完全是,有一些事情是不容易忍受的,他的懒惰就是其中之一。根据句意结合选项可知,此处用put up with比较和题意,故选B。。
+
+
+【题干】：-Excuse me, would you please _ me some petrol? -Sorry. I have only a little left in my car. A. spare B. save C. share D. spend
+【答案】：A
+【解析】：【详解】考查动词词义辨析。A. spare 分出,分让;B. save节约;C. share分享;D. spend花费。句意:-对不起,请给我一些汽油好吗?-很抱歉,我车里的油也不多了。根据句意可知,此处是指让对方分让一些汽油,故选A。。
+
+
+【题干】：-Sorry to have broken your glass. -_. You didn’t mean to, did you? A. No problem B. Forget it C. All right D. Don’t say so
+【答案】：B
+【解析】：【详解】考查交际用语。A. No problem没问题;B. Forget it不必在意;C. All right好的;D. Don’t say so不要这么说。句意:-很抱歉打碎了你的杯子。-没关系,你也不是故意的,不是吗?根据后面的You didn’t mean to可知,要用表达原谅的词,故选B。。
+
+
+【题干】：You must _smoking. Most important of all, you should start taking exercise. A. abandon B. desert C. forbid D. quit
+【答案】：D
+【解析】：【详解】考查动词词义辨析。句意:你必须戒烟,最重要的是,你应该开始运动。A选项abandon和B选项desert 都有遗弃、抛弃的意思,但是abandon和desert的宾语是人或物;C.forbid禁止;quit=give up doing sth.,“放弃做某事”,根据下文smoking和句意,故选D。。
+
+
+【题干】：The head manager asked the young man to_himself more neatly. A. wear B. put on C. have on D. dress
+【答案】：D
+【解析】：【详解】考查动词词义辨析。句意:总经理让这个年轻人穿得更整洁些。四个选项均表示"穿戴",wear的宾语是衣服,表示穿着状态;put on的宾语是衣服,表示动作;have on的宾语是衣服,表示穿着状态;dress可以作及物动词,意为“给……穿衣服”,接人作宾语。根据空后的himself,该处只有dress符合题意。故选D选项。。
+
+
+【题干】：The marking strategy _ the old, though well organized, turn out to be a complete failure. A. targeting at B. targeted at C. having targeted D. to target
+【答案】：B
+【解析】：【详解】考查过去分词。句意:这个针对老年人的营销策略,尽管组织的很好,但是最终失败了。分析句子结构可知," _ the old"是定语,修饰the marking strategy,"be targeted at"意为"以……为目标",the marking strategy和target at之间是被动关系,故要用过去分词作定语。故B选项正确。【点睛】target n.[C]目标;靶;受批评的对象 vt.把……作为批评的对象;面向 hit/miss the target中/脱靶 target sth on/at把……对准 meet/achieve a target达成目标 set a target设定目标 on/off target准确/不准确命中目标 sales target销售目标 moving target移动目标 分析句子结构可知," _ the old"是定语,修饰the marking strategy,"be targeted at"意为"以……为目标",the marking strategy和target at之间是被动关系,故要用过去分词作定语。故B选项正确。。
+
+
+【题干】：Some of the images are so horrifying that to this day I can hardly _ them without getting into a wave of panic. A. reflect on B. impress on C. resolve to D. take on
+【答案】：A
+【解析】：【详解】考查动词短语辨析。句意:有些画面如此的令人恐惧,以至于直到今天,回想起它们我就不免胆战心惊。A. reflect on记起;B. impress on给……留下印象;C. resolve to决心,解决;D. take on呈现,承担。由“hardly,without getting into a wave of panic.”可知,reflect on“记起”符合句意。故A选项正确。。
+
+
+【题干】：I’m rather surprised you haven’t reported it to your teacher. In my opinion, you _this as soon as you found out he was cheating. A. must have done B. might have done C. would have done D. should have done
+【答案】：D
+【解析】：【详解】考查虚拟语气。句意:我很惊讶你没有把这件事情报告给老师。在我看来,你一发现他作弊就应该马上告诉老师。must have done表示对故去情况的推测,意为“肯定做了某事”;might have done可以表示对过去情况的推测,意为“可能做了某事”,也可以表示虚拟,意为“本可以做某事(实际上没有做)”;should have done表虚拟,意为“本应该做某事(实际上没做)”。综上,D选项切合题意。。
+
+
+【题干】：She came in and picked up a poster with PRIZES! PRIZES! PRIZES! at the bottom. A. printed B. printing C. being printed D. to print
+【答案】：A
+【解析】：【详解】考查非谓语动词。句意:她进来了,拿起了一幅海报,其底部印有"大奖!大奖!大奖!"。句中含有"with+宾语+宾补"结构,PRIZES! PRIZES! PRIZES!与print之间是动宾关系,故用过去分词作宾补。故选A。【点睛】复合宾语结构是考点,其中介词中只有with具有复合宾语结构,且常考非谓语动词做宾补,考生要注意这一点。首先掌握其结构:with+宾语+宾补;其次是弄清宾语与宾补之间的关系;最后确定使用何种非谓语形式。本小题只要准确判断出PRIZES与print之间的关系,便可准确得出答案。。
+
+
+【题干】：from the top of the tower, the south foot of the mountain is a sea of trees. A. To see B. Seeing C. Seen D. Having seen
+【答案】：C
+【解析】：【详解】考查过去分词做状语。句意是:从塔顶上看,南面山脚处是一片树的海洋。动词see和主语the south foot of the mountain之间是被动关系。所以用过去分词作状语。故选C。。
+
+
+【题干】：The polluted water was from a chemical factory by local people. A. running B. ran C. to run D. run
+【答案】：D
+【解析】：【详解】考查过去分词作定语。句意:废水是从一家由当地人经营的化学工厂出来的。run为非谓语动词,修饰名词chemical factory,与其是动宾关系,故用过去分词形式,故选D。。
+
+
+【题干】：Only in an hour ago out why he was absent. A. did the teacher found B. the teacher found C. did the teacher find D. had the teacher found
+【答案】：C
+【解析】：【详解】考查部分倒装。句意,只是在一小时之前,老师才知道了他缺席的原因。当only+状语位于句首时,句子要用部分倒装。所谓部分倒装就是把谓语动词的一部分,即助动词、情态动词、系动词移至主语的前面。因为前面有了助动词或情态动词,所以后边的动词要用原形,故选C。【点睛】部分倒装,指将谓语的一部分如助动词或情态动词倒装至主语之前,而谓语动词无变化。如果句中的谓语没有助动词或情态动词,则需添加助动词do,does或did,并将其置于主语之前。用法如下: 1. hardly, in no way, little, scarcely, seldom, never, no more, no longer, not, not only, no sooner, not only … (but also),not until… 等具有否定意义的词或词组位于句首,句子用部分倒装。例子: No sooner had I got home than it began to rain.我刚到家就下起了雨。 2. so / such...that结构中的so或such位于句首可以构成部分倒装句,表示强调so /such和that之间的部分。例子: So unreasonable was his price that everybody startled.他的要价太离谱,令每个人都瞠目结舌。 3. only +状语或状语从句置于句首,被该状语修饰的句子用部分倒装。例子: Only in this way can you solve this problem.只有用这种方法,你才可以解决这个问题。 本题属于第三种用法,only位于句首,需用部分倒装。。
+
+
+【题干】：Not until the early years of the 19th century what heat is. A. man did know B. man knew C. didn’t man know D. did man know
+【答案】：D
+【解析】：【详解】考查部分倒装。句意:直到19世纪早期,人们才知道什么是热量。not until位于句首,句子需用部分倒装,即把be动词,情态动词,助动词放在主语之前,故选D。由于本结构not已经放在句首,故句中不需要not,不选C。。
+
+
+【题干】：louder, all the students would hear. A. If the teacher had spoken B. If the teacher will speak C. Had the teacher spoken D. If the teacher spoke
+【答案】：D
+【解析】：【详解】考查虚拟语气。句意:如果老师能够大声说话,所有学生都能听到。这里表示与现在的事实相反的假设,此时:主句用:主语+would/should/ could/might+ 动词原形;从句用:If + 主语 + 动词过去式(be 动词一律用were); 所以本题应该选择D。 C和A用于表示与过去的事实相反的假设。。
+
+
+【题干】：I hate when people talk with their mouths full. A. that B. this C. them D. it
+【答案】：D
+【解析】：【详解】考查it的用法。句意:我很讨厌说话的时候,嘴里塞满东西。句中it作形式宾语,真正的宾语是when people talk with their mouths full。选D。【点睛】It作形式宾语。当不定式(短语)、动名词(短语)或从句在某个句子中作宾语时,为保持句子结构平衡,避免句式结构的混乱,常用it作形式宾语,而将真正的宾语放在句尾。此时it仍只起先行引导作用,本身无词义。其基本结构为“动词+it+宾语补足语+不定式(动名词或从句)”。 1. sb find/ believe/ think/ feel/ consider/ make + it +n+to do/that从句。如: I take it (that) he will come on time. 我认为他会准时来的。 He makes it a rule never to borrow money.(他立志决不向别人借钱。) 2. sb find/think/make + it + adj. + to do sth/that 从句(宾语从句)如: I don’t feel it difficult to understand the Special English.(我觉得理解英语特别节目并不难。) 3. sb+hate / dislike / love / like+it+when-从句,如: I hate it when my mother asks me to eat eggs.(我讨厌母亲要我吃鸡蛋。) I dislike it when you whistle. 我不爱听你吹口哨。 4. sb+appreciate/prefer+it+if-从句,如: I really appreciate it if you could help me with my math. 本题属于第三种用法。。
+
+
+【题干】：—You need to provide a hard argument as to _ the exam scheme will be reformed. —As you see, teachers and students have too much burden. A. where B. when C. how D. why
+【答案】：D
+【解析】：【详解】考查宾语从句。句意:——你需要就改革考试制度的原因提出一个有力的论据。——正如你所看到的,老师和学生的负担过重了。从答语的情况来看,改革的原因是老师和学生的负担太重了,从句中缺少原因状语,故D项正确。。
+
+
+【题干】：—What a pity that Dad didn’t attend my graduation ceremony yesterday afternoon. —Oh, he _ some business partners from Europe. A. would meet B. was meeting C. had met D. has met
+【答案】：B
+【解析】：【详解】考查时态。句意——爸爸昨天下午没有参加我的毕业典礼真是太遗憾了。——那时他正在会晤欧洲的商业合作伙伴。表示过去某一时间点(段)正在做的事情用过去进行时,故B项正确。。
+
+
+【题干】：In order to enhance market competitiveness, we welcome any comments from consumers, favourable or _. A. rather B. regardless C. otherwise D. though
+【答案】：C
+【解析】：【详解】考查副词词义辨析。A. rather宁愿;B. regardless不顾;C. otherwise其他方面;D. though然而。句意:为加强市场竞争力,我们欢迎消费者提出任何正面或负面的意见。or otherwise表示“或其反面”,与前面的favorable相反,言下之意是好的或者不好的评论都可以,故C项正确。【点睛】本题对or otherwise的理解是解题的关键,or otherwise表示“或其反面”,与前面的favorable相反,言下之意是好的或者不好的评论都可以。。
+
+
+【题干】：Parents’ top priority is to help their kids develop the ability to show _ in their choices of friends. A. combination B. admiration C. inspiration D. discrimination
+【答案】：D
+【解析】：【详解】考查名词词义辨析。句意:父母的首要任务是帮助他们的孩子发展在选择朋友时的识别能力。A. combination结合;B. admiration钦佩;C. inspiration灵感;D. discrimination区别、识别。根据in their choices of friends可推知,是选择时的识别能力,故D项正确。。
+
+
+【题干】：_ more attention when he was young, the young man wouldn’t have ended up as a prisoner. A. Having been paid B. Paying C. To pay D. To be paid
+【答案】：A
+【解析】：【详解】考查非谓语动词。句意:如果这个年轻人在小时候得到更多关注的话,他就不会最终成为一个犯人。_ more attention when he was young是状语,根据pay attention to sb.结构可知,the young man和pay是被动关系,且该动作发生在主句谓语动作之前,故应用现在分词的完成被动形式。B、C表示主动关系,D表示将要发生的被动动作,不符合句意。综上,该题选A项。。
+
+
+【题干】：Last night, in the dream, John found himself _ by a fierce wolf and unable to escape. A. being chased B. to be chased C. be chased D. having been chased
+【答案】：A
+【解析】：【详解】考查非谓语动词。句意:昨晚,John在睡梦中发现自己被一头恶狼追逐,而且他无法逃掉。此处考查的是非谓语动词作宾语补足语的用法,因为宾语himself和chase之间存在逻辑上的动宾关系,表示被动,而且表示正在进行,所以此处应用being chased作宾补。故选A项。。
+
+
+【题干】：The famous website MySpace is expected to _ at least 500 employees due to financial crisis. A. pull off B. set off C. take off D. lay off
+【答案】：D
+【解析】：【详解】考查动词短语。句意:由于经济危机,人们预料著名的网站MySpace解雇至少500员工。动词短语pull off扯掉;赢得;驶离;set off动身,出发;take off起飞,开始成功;lay off解雇,休息,停止工作。根据句意可知D项正确。。
+
+
+【题干】：What excited me most was that I had the _to meet the president when he visited our school. A. participation B. privilege C. inspiration D. adjustment
+【答案】：B
+【解析】：【详解】考查名词辨析。A. participation参加,参与;B. privilege荣幸,荣耀;特权;C. inspiration灵感;D. adjustment调整;句意:最让我兴奋的是总统来我们学校访问的时候,我有幸见到了他。根据巨野可知privilege表示"荣幸,荣耀"符合语境。故B项正确。。
+
+
+【题干】：Many seniors _ evening schools, believing that it helps to keep the brain active and the body healthy. A. participate in B. take part in C. attend D. join
+【答案】：C
+【解析】：【详解】考查动词及动词短语辨析。句意:很多老人都在夜校上课,认为这样做可以保持思维敏捷和身体健康。动词attend常用于以一般的身份出席会议,到课堂听讲或去听音乐会等。短语take part in和participate in表示主语在有关活动中担任一定的角色;动词join则指参加一个组织,并成为其中一员。attend evening schools表示"在夜校上课"。故C项正确。。
+
+
+【题干】：—I heard that Cao Wenxuan had won the Hans Christian Anderson Prize. —Great! His books always bring me to places I might not _ have been either in thoughts or reality. A. regardless B. otherwise C. therefore D. anyhow
+【答案】：B
+【解析】：【详解】考查副词辨析。句意:—我听说曹文轩获得汉斯克里斯蒂安安徒生奖。—好极了!他的书总是将我带到否则想象和现实都不会去的地方。regardless不管,不顾;otherwise否则;therefore因此;anyhow不管怎样。故选B。。
+
+
+【题干】：—Where’s the injured dog? —It’s said it in the hospital. A. was examined B. will be examined C. is being examined D. has been examined
+【答案】：C
+【解析】：【详解】考查时态。句意:—受伤的狗去哪儿了?—据说它正在医院接受检查。主语it (the injured dog)和examine 是被动关系,且此处指当前正在进行的动作,所以用现在进行时的被动语态。故C项正确。。
+
+
+【题干】：Many tall buildings, as reported, at present at the edge of our city. A. have been built B. are being built C. will be built D. were being built
+【答案】：B
+【解析】：【详解】考查动词的时态。句意:正如报道所说的那样,目前我们城市的边缘正在建许多高大的建筑物。根据at present可知,此处描述现在正在进行的动作,应用现在进行时。故选B项。。
+
+
+【题干】：In a room above the store, where a party _, some workers were busily setting the table. A. was to be held B. has been held C. will be held D. is being held
+【答案】：A
+【解析】：【详解】考查时态及非谓语动词。句意:在商店楼上的一个房间里,将举行一个聚会,一些工人正忙着摆桌子。where引导的定语从句中,主语a party和hold之间是被动关系,且表示将来,应用“be+动词不定式的被动式”,再根据some workers were busily setting the table.可知,此处描述的过去的事情,因此应用过去将来时的被动语态。故选A。。
+
+
+【题干】：Most of the top leaders expressed a common desire at the UN conference, _ that different cultures _ coexist with tolerance. A. the one; must B. the one; should C. one; must D. one; should
+【答案】：D
+【解析】：【详解】考查代词和情态动词辨析。句意:大多数高层领导人在联合国大会上表达了一个共同的愿望,即不同的文化应该与宽容共存。替代表泛指的单数名词,通常用one替代;此处用one替代前面的a desire,是同位语;结合句意第二空用情态动词should“应该”。故选D。【点睛】that/ it/ one代指前面的名词时的用法 1. one指代前面出现的可数名词,是泛指。可以和冠词连用,也可以有自己的定语。一般不能用做特指,但和定冠词连用时可以是特指。如:Please show me the cup, the red one on the shelf. 2. it指代前面提到的单数名词,相当于the one。当one是泛指的时候,指的是同名异物,it是指同一物体。如:—Do you want the cup?—Yes, I want it. 3. that通常用来代替前面出现的可数名词/不可数名词,主要是用来避免重复。如:The weather of Guangzhou is hotter than that of Beijing.。
+
+
+【题干】：Was it in this room _ he made the decision _ he would break away from his family? A. that ; which B. where ; which C. that ; that D. where ; that
+【答案】：C
+【解析】：【详解】考查强调句式和同位语从句。句意:就是在这个房间里,他做出了与家人分离的决定吗?第一空是强调句式:It is (was)+被强调部分(主语、宾语或状语)+who (that)......。强调地点状语in this room,填that;名词decision“决定”后面是同位语从句,句意和句子结构完整。所以由that引导。故选C。。
+
+
+【题干】：The parents are making changes to their previous education methods, of _ negative effect they begin to be aware. A. who B. whom C. whose D. which
+【答案】：C
+【解析】：【详解】考查定语从句。句意:父母正在改变他们以前的教育方法,他们开始意识到这些方法的负面影响。逗号后面是一个非限制性定语从句,methods是先行词,在从句中作negative effect定语,应使用whose引导。故选C。。
+
+
+【题干】：Though our economy grows fast, we produce _ we did 20 years ago. A. more than 30 times as much rubbish as B. 30 times as more rubbish as C. 30 times more the number of rubbish as D. more than as 30 times rubbish as
+【答案】：A
+【解析】：【详解】考查倍数表达法。句意为:尽管我们的经济飞速发展,我们产生的垃圾是二十年前的30倍。用times表示倍数的结构是:A+be+倍数+as+计量形容词原级+as+倍数。BC项中出现了比较级形式,应该使用“比较级+than”的结构;D项应该把倍数放在前面。故A项正确。。
+
+
+【题干】：_is reported in People’s Daily is that the Xiongan New Area aims to be an example of green, creative and high-quality development. A. That B. What C. As D. It
+【答案】：B
+【解析】：【详解】考查主语从句。句意:《人民日报》中所报道的是雄安新区旨在成为一个绿色的、创新性的、高质量发展的范例。分析句子结构可知,空处在句中引导主语从句,且从句中缺少主语,故应用What来引导该主语从句。故选择B项。【点睛】本题考查了what引导名词性从句的用法。 what引导的名词性从句是名词性从句中较难理解和掌握的一类,其用法复杂,翻译灵活,往往是同学们学习的难点。从句法上讲,这类从句往往可以转换成“名词+定语从句”的形式,在翻译时通常可表达为“……的人或东西”、“……的数目或数量”、“……的时间或地方”等。本文拟对此作一归纳。 一、表示“……的东西”,相当于“the thing(things) that…….”。如: What is known to us all is that the 2008 Olympic Games will take place in Beijing. (The thing that is known to us all is that the 2008 Olympic Games will take place in Beijng .) 对我们来说总所周知的一件事情就是2008年奥运会将在中国北京举行。 What we can't get seems better than what we have. 我们不能获得的东西似乎比我们手中已有的东西要好。 二、表示“……的人”,相当于“the person that..."如: He is not what he was a few years ago. 他不是儿年前的那个样子了。 Who is it that has made Fred what he is now? 是谁把弗雷德培养成现在这个样子的? 三、表示“……的数量或数目”,相当于“the amount(number ) that..."。如: Our income is now double what it was ten years ago.我们现在的收人是10年前的两倍。 The number of the students in our school is ten times what it was before liberation.现在我校学生的数量是解放前的10倍。 四、表示“……的时间”,相当于“the time that...”。如: After what seemed a very long time,I opened my eyes and found myself in bed. 似乎过了很长一段时间,我才睁开眼睛,发现自己躺在床上。 五、表示“……的地方”,相当于“the place that..."。如: This is what they call Salt Lake City.这就是他们称为盐湖城的地方。 In 1492, Columbus reached what is now called America. 1492年,哥伦布到达了现在所称的美洲大陆。 注①有时what可用作限定词,其后修饰一个名词。如: You may bring what photos you like.你可以把你喜欢的照片都带来。 He spent what little money he had on books.他把仅有的一点钱都花在买书上了。 ②以下各例中的what表示“什么”,由它引导的名词性从句与以上各从句有所不同: Choosing the right dictionary depends on you want to use it for. Tell me what he does.告诉我他是干什么的。 We don't know what his name is.我们不知道他叫什么名字。 I asked him what clothes I should wear.我问他我该穿什么衣服。 特别注意: “what”引导主语从句时,谓语动词: 1)常与其后的名词作表语一致 2)根据句子的语境而定。 What you left are only several old books. What you said is of great importance. Whether he’ll come here is not clear.。
+
+
+【题干】：Vautrin guarded the college with the motto: "_ wants to go through this gate will have to do so over my dead body." A. Who B. Whom C. Whoever D. Whomever
+【答案】：C
+【解析】：【详解】考查名词性从句。句意:魏特琳以"任何想要通过这扇大门的人都必须从我的尸体上跨过"的座右铭在守卫这个大学。分析句意及句子结构可知,空处在句中引导主语从句 _ wants to go through this gate,且空处在句中作主语,表示"无论谁",故应用whoever来引导该主语从句。故C项正确。。
+
+
+【题干】：_mothers couldn't go to the meeting,because they have gone to Shanghai. A. Mary and Peter's B. Mary and Peter C. Mary's and Peter D. Mary's and Peter's
+【答案】：D
+【解析】：【详解】本题解析略。。
+
+
+【题干】：Can a school_a policy prohibiting the use of mobile phones on campus? A. make B. pass C. adapt D. adopt
+【答案】：D
+【解析】：【详解】本题解析略。。
+
+
+【题干】：I insisted_ to see a doctor,but he insisted nothing _wrong with him A. on him to go;should be B. he went;be C. he go;was D. he should to;is
+【答案】：C
+【解析】：【详解】本题解析略。。
+
+
+【题干】：-What were you trying to prove to the police? -_I was last night. A. That B. When C. Where D. What
+【答案】：C
+【解析】：【详解】本题解析略。。
+
+
+【题干】：China is the birthplace of kites,_kiteflying(放风筝)spread to Japan,Korea,Thai-land and India. A. from there B. where C. from where D. there
+【答案】：C
+【解析】：【详解】本题解析略。。
+
+
+【题干】：_, this cake, you' ll need 2 eggs, 175 g sugar, and 175 g flour. A. Having made B. Make C. To make D. Making
+【答案】：C
+【解析】：【详解】本题解析略。。
+
+
+【题干】：He kept_ to his parents. A. putting off to write B. to put off to write C. putting off writing D. to put off writing
+【答案】：C
+【解析】：【详解】本题解析略。。
+
+
+【题干】：_ right now, she would get there on Sunday. A. Would she leave B. If she leaves C. Were she to leave D. If she had left
+【答案】：C
+【解析】：【详解】本题解析略。。
+
+
+【题干】：He is the only one of the students who _ elected. A. are B. have C. has D. is
+【答案】：D
+【解析】：【详解】本题解析略。。
+
+
+【题干】：He went to Shanghai_ September3,199and came back_a cold morning last year. A. in;on B. on;in C. on;on D. in;in
+【答案】：C
+【解析】：【详解】本题解析略。。
+
+
+【题干】：_ the big snake,the little girl stood under the tree _to death. A. Seeing;frightened B. Seeing;frightening C. Seen;frighten D. To see;frightening
+【答案】：A
+【解析】：【详解】本题解析略。。
+
+
+【题干】：-_? -That would be great!Please drop me off at the library. A. could you bring me the bill B. would you like me to give you a lift C. Could you tell me the postcode for D. would you like to have my e-mail address
+【答案】：B
+【解析】：【详解】本题解析略。。
+
+
+【题干】：I had just started back for the house to change my clothes _I heard the voices. A. as B. after C. while D. when
+【答案】：D
+【解析】：【详解】本题解析略。。
+
+
+【题干】：It' s no use_to get a bargain these days. A. to expect B. expecting C. wanting D. you expect
+【答案】：B
+【解析】：【详解】本题解析略。。
+
+
+【题干】：Many a man_ come to help us. A. have B. has C. is D. are
+【答案】：B
+【解析】：【详解】本题解析略。。
+
+
+【题干】：The young tennis player has often famous players, but so far he has always been beaten. A. competed for B. competed over C. competed with D. competed in
+【答案】：C
+【解析】：【详解】考查动词短语辨析。句意:这位年轻的网球运动员经常和著名的运动员比赛,但到目前为止,他总是输。compete with 与……比赛,也可以用compete against,故选C。。
+
+
+【题干】：The new city, Brasilia, Rio de Janeiro the capital of Brazil in 1960. A. replaced; for B. replaced; as C. replaces; as D. replaces; for
+【答案】：B
+【解析】：【详解】考查动词短语和时态。句意:1960年,新城市巴西利亚取代里约热内卢成为巴西的首都。replace ...as意思是“取代……成为……”,排除A和D,根据时间状语in 1960,可知是发生在过去的事情,用一般过去时,故选B。。
+
+
+【题干】：Everyone knows that the 2012 Olympic Games in London. A. is held B. are held C. will hold D. will be held
+【答案】：D
+【解析】：【详解】考查时态和语态。句意:大家都知道2012年奥运会将在伦敦举行。由句意可知,表示将要发生的事情,用一般将来时,“2012年奥运会”和“举行”之间是被动关系,用被动语态,故选D。。
+
+
+【题干】：The woman should someone to look after her children. A. advertise B. advertises C. advertise for D. be advertised for
+【答案】：C
+【解析】：【详解】考查动词。句意:这位妇女应该登广告找个人来照顾她的孩子。advise意思是“登广告”, 情态动词should后,用动词原形,for在这里表示目的,故选C。。
+
+
+【题干】：The sports meet will be till next week because of the bad weather. A. put off B. put away C. put up D. put down
+【答案】：A
+【解析】：【详解】考查动词短语辨析。句意:由于天气不好,运动会将推迟到下周举行。put off 意思是“拖延;推迟”;put away把……放好;贮存;储蓄;put up举起;张贴;建造;put down放下;拒绝,根据题意,故选A。。
+
+
+【题干】：They admitted me their football team. A. on B. in C. into D. at
+【答案】：C
+【解析】：【详解】考查动词用法。句意:他们允许我加入他们的足球队。admit ...into意思是“允许进入”,该用法是固定用法,故选C。。
+
+
+【题干】：_be “ hangry” (饿怒的), I often have some healthy snacks during the meals. A. So as to B. So as not to C. In order to D. In order not to
+【答案】：D
+【解析】：【详解】考查so as to 与 in order to的区别。句意:为了不饿怒,吃饭时,我经常吃一些健康的小点心。in order to do sth “为了做某事”可以用在句中或者句首。so as to“为了做某事”不可以用在句首。故D选项正确。。
+
+
+【题干】：–Alice! Give me the newspapers related to the 13th G20 Summit. –OK, Mr. Green. I _ them for you. A. get B. will get C. can get D. am going to get
+【答案】：B
+【解析】：【详解】考查一般将来时。句意:- Alice!把有关第13次 G20峰会的报纸给我。-好的,格林先生。我这就给你拿。分析句子可知,本句为一般将来时,will表示说话者或主语的意愿,决心,意向。 故B选项正确。。
+
+
+【题干】：We’ve just heard a warning on the radio that a heavy snow is _ to come this evening. A. likely B. convenient C. probable D. believable
+【答案】：A
+【解析】：【详解】考查形容词辨析。句意:我们已经从广播里听到了警报,今天晚上很可能会有一场大雪。A. likely可能的;B. convenient方便的;C. probable可能的;D. believable可信的。Sb/sth be likely to do sth“某人/某物可能做某事”。而probable的用法为:it is probable that...或者it is probable for sb to do sth 。故A选项正确。【点睛】同类辨析possible,probable与likely (1)possible客观上有可能,含有希望很小的意味。常用句型有It is possible(for sb.)to do sth.或It is possible that...。作表语时不能用人作主语。 (2)probable指有根据、合情合理、可能性比possible大,表示“很可能”。probable只能用It is probable that...句型。作表语时也不能用人作主语。 (3)likely指从外表、迹象上判断,有可能发生。与probable意思相近。likely既可用人也可用物作主语,句型是It is likely that...或sb./sth. is likely to do...。 本句为sb./sth. is likely to do的用法且符合句意。故A选项正确。。
+
+
+【题干】：It’s reported that a subway system will be _ use in 2020 in Taiyuan. A. put off B. made of C. put into D. made into
+【答案】：C
+【解析】：【详解】考查动词短语辨析。句意:据报道,一套地铁系统将于2020年在太原投入使用。A. put off推迟;B. made of由...制成;C. put into 投入;D. made into制成。be put into use“被投入使用”符合句意。故C选项正确。。
+
+
+【题干】：—Ted has never been so rude! —He _something he shouldn’t have, but I guess he didn’t mean that. A. has said B. had said C. said D. was saying
+【答案】：C
+【解析】：【详解】考查一般过去时。——Ted从来没有那么鲁莽过! ——他说了一些他本不应该说的话,但我认为他不是那个意思。由“he didn’t mean that ”可知,说话的动作发生在过去,用一般过去时。故选C项。。
+
+
+【题干】：Jack’s fellow workers often turn to him for help when trapped in trouble because he is a _of ideas. A. fountain B. session C. diagram D. resource
+【答案】：A
+【解析】：【详解】考查名词辨析。句意:Jack的同事们在遇到困难时经常向他求助,因为他是一个有思想的人。a fountain of ideas 思想的源泉,说明Jack很聪明。A. fountain源泉;B. session会议;C. diagram图表;D. resource资源,故选A。。
+
+
+【题干】：The press should expand its influence in international public opinion to make China’s voice better _ in the world. A. hearing B. to be heard C. hear D. heard
+【答案】：D
+【解析】：【详解】考查非谓语动词。句意:新闻应该扩大其在国际舆论中的影响力,使中国的声音更好地在世界上被听到。“中国的声音”与“听到”之间是被动关系,用make sth. done结构,故选D。。
+
+
+【题干】：Taking targeted measures to help people lift themselves out of poverty, _has been predicted, is fruitful. A. what B. which C. as D. that
+【答案】：C
+【解析】：【详解】考查固定句型。句意:正如人们所预测的那样,采取有针对性的措施帮助人们摆脱贫困是富有成效的。as has been predicted正如预料到的一样,该句型是固定句型,此处作插入语,故选C。。
+
+
+【题干】：Since the match is over, we can _by travelling and stop thinking about basketball. A. dive in B. switch off C. pull out D. split up
+【答案】：B
+【解析】：【详解】考查动词短语辨析。句意:既然比赛结束了,我们就通过旅游来放松一下,不要再去想篮球了。A. dive in开始大吃;B. switch off不再注意,担忧某事;C. pull out渡过难关; D. split up分离,故选B。。
+
+
+【题干】：If it had not been for the heroes’ contributions and sacrifices, we _such a happy life. A. wouldn’t have led B. wouldn’t be leading C. haven’t led D. are not leading
+【答案】：B
+【解析】：【详解】考查虚拟语气。句意:要不是英雄们的牺牲,我们如今不会过上如此幸福的生活。这是一个错综时间虚拟条件句,从句与过去的事实相反,主句与现在的事实相反。与现在事实相反的假设。其句子结构为:主句:主语 + would(should, could, might)+动词原形+其他,主句时态为现在时,而且是正在进行中,故选B。。
+
+
+【题干】：With the help of the English teacher, he has made in his English writing. A. a great progress B. much progress C. little progress D. many progresses
+【答案】：B
+【解析】：【详解】考查不可数名词。句意:在英语老师的帮助下,他的英语写作取得了很大的进步。此处progress“进步”,是不可数名词,所以A/D不正确,再结合句意可知B项符合题意。。
+
+
+【题干】：As you the town, the first building you see is the church. A. go B. step C. walk D. approach
+【答案】：D
+【解析】：【详解】考查动词。A. go去; B. step走; C. walk散步; D. approach靠近。句意:当你接近城镇时,首先看到的建筑物是教堂。故选D。。
+
+
+【题干】：He is always _ his excellent spoken English; while his sister takes _ her maths. A. proud of; pride in B. proud in; pride in C. proud in; pride of D. proud of; pride of
+【答案】：A
+【解析】：【详解】考查固定词组。句意:他总是为自己流利的英语口语感到骄傲;而他的妹妹以她的数学为傲。固定词组:be proud of“以-而自豪”;take pride in“以-为傲”。故选A。。
+
+
+【题干】：—Whose advice do you think I should take? — . A. I couldn’t agree more B. That’s it C. It’s up to you D. You got it
+【答案】：C
+【解析】：【详解】考查情景交际。A. I couldn’t agree more我完全支持; B. That’s it就是这样; C. It’s up to you完全由你决定; D. You got it我马上照办。故选C。。
+
+
+【题干】：The broken window was the that the house had been broken into. A. evidence B. expression C. scenery D. function
+【答案】：A
+【解析】：【详解】考查名词。A. evidence证据; B. expression表达; C. scenery风景; D. function功能。句意:弄坏的窗户是这所房子被破门而入的证据。故选A。。
+
+
+【题干】：Susan has _ more than $5000 in the last three months, with which she could buy new bicycles for those poor children. A. accelerated B. accompanied C. accumulated D. acknowledged
+【答案】：C
+【解析】：【详解】考查动词词义辨析。句意:苏珊在过去的三个月里积累了超过5000美元,这样她可以为那些贫困的孩子们买新自行车。A. accelerated促进加快;B. accompanied陪伴;C. accumulated累积,积聚;D. acknowledged承认;鸣谢;对…打招呼。故选C。。
+
+
+【题干】：-Terribly sorry, I broke your pen. - _, please forget It. A. All right B. It doesn't matter C. Don't be sorry D. It's up to you
+【答案】：B
+【解析】：【详解】考查交际用语。句意:——非常抱歉,我弄坏了你的钢笔。——没关系,忘了它吧。A. All right 好,行;B. It doesn't matter没关系;C. Don't be sorry不用道歉;D. It's up to you由你决定。故选B。。
+
+
+【题干】：-Who are you waiting for? - _ us a lecture in half an hour. A. The professor wants to give B. The professor will give C. The professor is about to give D. The professor to give
+【答案】：D
+【解析】：【详解】考查非谓语动词。句意:——你在等谁?——半小时内将给我们做讲座的教授。题中答句是一个省略句,是对前句Who are you waiting for?的回答,完整答句应为I am waiting for the professor to give us a lecture in half an hour. 根据问句和答句中的时间状语in half an hour可知,“教授做讲座”这件事还没发生,所以用不定式作定语。故选D。。
+
+
+【题干】：-Here you are. This is the hotel! - It's so close to the station. We _ the taxi at all! A. might not have taken B. couldn’t have taken C. needn't have taken D. mustn't have taken
+【答案】：C
+【解析】：【详解】考查情态动词。句意:——你看,这就是宾馆!——离车站太近了。我们根本用不着坐出租车! might not have done也许已经或可能没有做过;couldn’t have done不可能做过某事;needn't have done不必做但是做了;mustn't have done此种形式的确不存在。故选C。【点睛】情态动词+have done是我们要学习的情态动词中重要的一个语法项目,有一点是大家必须记住的,那就是——它一定表示“过去的或已经发生的事情”。 下面带大家逐一总结一下其用法:1、must have done对过去的推测,“一定已经,肯定已经…”;2、can’t/couldn’t have done对过去的推测,“不可能做过某事”;3、can/could sb. have done...?对过去的推测,“某人可能做过某事吗?”4、may/might have done对过去的推测,“也许已经,可能做过”;5、needn’t have done“不必做但是做了”;6、could have done(不是can)表示“本来可以做而未做”;7、should/ought to have done表示“过去应该做却没有做”,should/ought not to have done表示“过去不该做但做了”;8、would have done表示“本打算做事实上未做”。。
+
+
+【题干】：To the south of the school was a garden, _ owner was seated in it playing chess with his little grandson every afternoon. A. its B. whose C. which D. that
+【答案】：B
+【解析】：【详解】考查定语从句。句意:在学校的南面有一个花园,每天下午它的主人都坐在里面和他的小孙子一起下棋。句中先行词为garden,在非限定性定语从句中作名词owner的定语,故用关系代词whose引导。故选B。【点睛】分析定语从句关键抓住两点:第一、找准先行词;第二、看先行词在定语从句中所作的成分。先行词往往为名词或代词,如本题中先行词为名词garden,再分析先行词garden在非限定性定语从句中所作的成分,将先行词garden带到从句中可知只能作名词owner的定语,故确定关系代词whose。。
+
+
+【题干】：So cruel is the man that he never shows any mercy to _ is against his opinion. A. whoever B. whomever C. who D. no matter who
+【答案】：A
+【解析】：【详解】考查名词性从句。句意:这个人太残忍了,对于无论是谁反对他的意见,他从不仁慈。句中动词never shows any mercy to后接宾语从句,且宾语从句中缺少主语,故用whoever,表示“不管谁;任何人”。而no matter who只能引导让步状语从句。故选A。。
+
+
+【题干】：-Sorry, I have no time to help you finish your task. I have a lot of work to do. - _! You have been playing computer games all the morning. A. I’m stuck B. Oh, don't mention it C. So what D. Oh, come on
+【答案】：D
+【解析】：【详解】考查日常交际用语。句意:——对不起,我没有时间帮你完成你的任务。我有很多工作要做。——哦,得了吧!你整个上午都在玩电脑游戏。A. I’m stuck我被难住了!B. Oh, don't mention it哦。没关系!C. So what那又怎么样! D. Oh, come on哦,得了吧!根据语境可知,come on表示责备或不耐烦等,意为:得啦;行啦;够啦。故选D。。
+
+
+【题干】：Bill suggested a meeting on what to do for the work plan next year. A. having held B. to hold C. holding D. hold
+【答案】：C
+【解析】：【详解】考查固定用法。句意:Bill建议就明年的工作计划开个会。suggest doing建议做…,该用法是固定用法,故选C。。
+
+
+【题干】：_ Jack Ma has stepped down as chairman of Alibaba, he still remains on its board of directors. A. Since B. Before C. While D. Until
+【答案】：C
+【解析】：【详解】考查连词辨析。A. Since自从;B. Before在……之前;C. While虽然;D. Until直到。句意:虽然马云已经辞去阿里巴巴董事长一职,但他仍然是阿里巴巴的董事会成员。故C选项正确。。
+
+
+【题干】：Donald Trump made a _ to the nation that he would struggle for lower taxes and improve health care after taking office. A. contribution B. commitment C. devotion D. donation
+【答案】：B
+【解析】：【详解】考查名词辨析。A. contribution贡献;B. commitment承诺;C. devotion奉献;D. donation捐赠。句意:唐纳德·特朗普向全国承诺,他上任后将为降低税收和改善医疗服务而奋斗。故B选项正确。。
+
+
+【题干】：As many as 150 people died in the explosion. If only the owners _ enough attention to the safety measures! A. paid B. should pay C. would pay D. had paid
+【答案】：D
+【解析】：【详解】考查虚拟语气。句意:多达150人在爆炸中丧生。要是业主对安全措施给予足够的重视就好了!根据句意可知,此处表示与过去事实相反的情况,应使用过去完成时。故D选项正确。【点睛】If only:常常用来表示强烈的愿望,使用虚拟语气时和wish类似,表达强烈的遗憾或与真实条件不符的愿望。因而使用起来的形式也与wish相同。 1.表示与将来情况不同:if only+ 从句主语+would(could, might)+动词原形 eg:If only she would try again.我希望她能再试一次。 2.表示与现在情况不同:if only+从句主语+动词过去式 eg:If only I wasn't going to London.我希望我没去过伦敦。 3.表达与过去情况不同:if only+从句主语+would/could have/had+过去分词 eg:If only you had come to my birthday party.你要是来了我的生日晚会就好了。 以上就是if only的三种用法,if only的用法与wish基本相似。。
+
+
+【题干】：—Have you heard that more flights from WuXi to Beijing are available this year? —Of course. Many citizens are _ for it’s quite convenient for them to travel. A. green with envy B. feeling blue C. over the moon D. hot under the collar
+【答案】：C
+【解析】：【详解】考查习惯用语。A. green with envy非常嫉妒;B. feeling blue心情压抑;C. over the moon欣喜若狂;D. hot under the collar怒不可遏。句意:—你听说今年从无锡到北京的航班增加了吗?—当然。许多市民欣喜若狂,因为旅行非常方便。故C选项正确。。
+
+
+【题干】：—How about your trip to West Lake? —Everything was wonderful except that my car_ twice on the way. A. broke out B. broke up C. broke down D. broke in
+【答案】：C
+【解析】：【详解】考查动词短语辨析。A. broke out爆发;B. broke up打碎;C. broke down抛锚;D. broke in打断。句意:—你的西湖之旅怎么样?—一切都很好,除了我的车在路上坏了两次。故C选项正确。。
+
+
+【题干】：You _your depression for long, and now it’s time to relax yourself. A. masked B. will have masked C. have been masked D. have been masking
+【答案】：D
+【解析】：【详解】考查时态。句意:你压抑了很久,现在是时候放松一下了。根据下文“现在该放松了”可知,此处应使用现在完成进行时,表示从过去开始一直持续到现在的动作,强调这个动作可能会继续下去。故D选项正确。。
+
+
+【题干】：—Hey, do remember we are going to Mr. Black’s office tomorrow. —Oh, I have almost forgotten, but_. A. not really B. never mind C. no problem D. no doubt
+【答案】：C
+【解析】：【详解】考查习惯用语。A. not really不见得;B. never mind没关系;C. no problem没问题;D. no doubt毫无疑问。句意:—嘿,别忘了我们明天要去布莱克先生的办公室。—哦,我差点忘了,但是没问题。故C选项正确。。
+
+
+【题干】：When you’ve finished reading the book, don’t forget to put it back on the shelf , ? A. do you B. don't you C. will you D. won't you
+【答案】：C
+【解析】：【详解】考查反义疑问句。句意:当你读完这本书时,别忘了把它放回书架上,好么?表示请求的祈使句,反义疑问句用will you,故C项正确。【点睛】本题需要注意表示请求的祈使句,反义疑问句用will you而不用do you或don’t you。。
+
+
+【题干】：How amazing it is that Zuckberg can speak Chinese! After all, it is a big_ for any westerner to learn such a totally different language. A. adventure B. achievement C. trend D. challenge
+【答案】：D
+【解析】：【详解】考查名词词义辨析。A. adventure冒险;B. achievement成就;C. trend趋势;D. challenge挑战。句意:扎克伯格会说中文是多么令人吃惊啊!毕竟,对任何西方人来说,学习一门完全不同的语言是一个巨大的挑战。根据句意可知此处表示“挑战”,故D项正确。。
+
+
+【题干】：Tom has been dreaming of becoming a banker and I believe he finance in university at the age of 20. A. will be studying B. had studied C. has studied D. would study
+【答案】：A
+【解析】：【详解】考查时态。句意:Tom一直梦想成为一名银行家,我相信他20岁时会在大学里学习金融。“at the age of 20”标明是将来某一时间点发生的事情,应该用将来进行时,故A项正确。。
+
+
+【题干】：The steak in the restaurant was terrible. How I wish I rice! A. would order B. ordered C. order D. had ordered
+【答案】：D
+【解析】：【详解】考查虚拟语气。句意:这家餐馆里的牛排糟透了,我多么希望我点的是米饭啊!根据“The steak in the restaurant was terrible.”判断此处表示与过去事实相反的假设,所以应该用had+ 过去分词的形式,故D项正确。【点睛】wish后的宾语从句中,常表示不可能实现的愿望,表示与现在事实相反时,从句谓语用动词过去式(be用were);表示与过去事实相反时,从句谓语用had+过去分词;表示与将来 事实相反时,从句谓语用could/would/should+动词原形。本题根据“The steak in the restaurant was terrible.”判断此处表示与过去事实相反的假设,所以应该用had+ 过去分词的形式。。
+
+
+【题干】：The future of our city the creativity and innovation of young people. A. takes in B. lies in C. results in D. brings in
+【答案】：B
+【解析】：【详解】考查动词短语辨析。A. takes in吸收;B. lies in在于;C. results in导致;D. brings in引进。句意:我们城市的未来在于年轻人的创造性和创新。根据句意可知此处表示“在于”,故B项正确。。
+
+
+【题干】：-Are you going to accept the offer? -You bet! The salary is not that good, but ,you know. A. better late than never B. actions speak louder than words C. a change of work is as good as rest D. a bird in hand is worth two in the bush
+【答案】：D
+【解析】：【详解】考查习语。A. better late than never亡羊补牢;B. actions speak louder than words事实胜于雄辩;C. a change of work is as good as rest换个工作比休息更好;D. a bird in hand is worth two in the bush一鸟在手胜过双鸟在林。句意:——你要接受这个提议么?——你说的没错,虽然薪水不是很高,但一鸟在手胜过双鸟在林(稳握在手的已得之物)。根据“but”判断第二人想要珍惜现在这个提议,不打算冒险看似更好却没有把握的东西,故D项正确。【点睛】对习语意思的理解是解题关键,a bird in hand is worth two in the bush一鸟在手胜过双鸟在林常用来表示珍惜现在所有,不冒险去争取看似更好却没有把握的东西。。
+
+
+【题干】：-The Belt and the Road policy advocated by China will pay off. -You can say that again! I’m sure it is simply a matter of time,_? A. am not I B. aren’t I C. isn’t it D. is it
+【答案】：C
+【解析】：【详解】考查反义疑问句。句意:——中国倡导的“一带一路”政策将取得成功。——一点儿不错!我相信这只是时间问题,不是吗?当陈述部分为I think (believe, suppose, imagine, expect, know, sure etc ) (that)...等时,疑问部分通常与从句保持一致。 故选C。。
+
+
+【题干】：I hate dealing with the bank over the phone because it usually takes ages to _to the right person. A. get through B. break through C. go through D. pass through
+【答案】：A
+【解析】：【详解】考查动词短语词义辨析。句意:我讨厌通过电话和银行打交道,因为通常要花很长时间才能找到合适的人。A. get through 通过;到达;做完;度过;接通电话;B. break through突破; C. go through经历;检查;浏览;D. pass through穿过;透过。故选A。。
+
+
+【题干】：They haven’t solved the problem yet ._she had listened to what he said ! A. Only if B. If only C. Even if D. As if
+【答案】：B
+【解析】：【详解】考查连词词义辨析。句意:他们还没有解决这个问题。要是她听了他的话就好了。A. Only if只有;B. If only要是 …… 多好; 只要;C. Even if即使;D. As if好像。故选B。。
+
+
+【题干】：The famous singer is so devoted to helping children in poor areas that she _high praise. A. desires B. deserves C. prefers D. preserves
+【答案】：B
+【解析】：【详解】考查动词短语辨析。句意:这位著名的歌唱家致力于帮助贫困地区的儿童,值得高度赞扬。 deserve应受,应得;praise赞扬,称赞;desire想要,渴望;prefer更喜欢;preserve保持,保护,保存。根据语意可知,deserve符合题意,故选B。。
+
+
+【题干】：Instead of sitting around waiting for a hero to _on a white horse to save you, why not help yourself? A. take up B. make up C. show up D. put up
+【答案】：C
+【解析】：【详解】考查动词短语辨析。take up占用,开始从事,接受;show up显而易见,出现,到场;make up组成,化妆,编造;put up张贴,提高。句意:与其坐在那里等英雄骑马来救你,为什么不自救呢?根据句中等待英雄来救你,可知,是等待骑马的英雄出现(show up)。故选C。。
+
+
+【题干】：The building under _for stay-at-home children will be completed in March A. contribution B. construction C. coincidence D. composition
+【答案】：B
+【解析】：【详解】考查名词辨析及固定搭配。contribution贡献,捐赠,捐助;construction建造,建筑物; coincidence巧合; 一致;composition作文,作曲。句意: 正在被建的留守儿童楼将于3月竣工。本句说的是建筑物,因此要用建造中。under construction意为“(正在)修建中”,因此选B。。
+
+
+【题干】："We are here to help because we are one family _we live in different parts of the world, "said the volunteer. A. in that B. even though C. so that D. as though
+【答案】：B
+【解析】：【详解】考查语境及短语辨析。句意:“我们是来帮忙的,因为我们是一家人,即使我们生活在世界不同的地方,”这位志愿者说。in that因为,由于;even though即使,纵然;so that以便,以致;as though好像,仿佛。根据语境可知“即使我们生活中不同的地方,我们还是一家人”是让步,本小题是表示让步的,故选B。。
+
+
+【题干】：-Have you seen this film? It shows friendship, love and help. -_I was deeply moved. A. I'm the top dog B. It's my cup of tea C. I have green fingers D. It's a piece of cake
+【答案】：B
+【解析】：【详解】考查情景对话。句意:-你看过这部电影吗?它显示了友谊、爱和帮助。-这是我喜欢的一类,我深深地感动了。A. I'm the top dog我是大人物;B. It's my cup of tea这是我喜欢的,符合我的胃口;C. I have green fingers我是园艺能手;D. It's a piece of cake小菜一碟,轻松的事 。分析句子可知,本题后一句“我被打动了”,可知我喜欢,故选B。。
+
+
+【题干】：The government will set up a group to_ways to improve the people’s living standard. A. run into B. get into C. look into D. break into
+【答案】：C
+【解析】：【详解】考查动词短语辨析。句意:政府将成立一个小组去研究提高人民生活标准的方法。A. run into偶然遇见;B. get into进入;C. look into研究;D. break into闯入。根据“ improve the people’s living standard.”可知,政府将成立一个小组去研究提高人民生活标准的方法。故C项正确。。
+
+
+【题干】：They kept trying, and their efforts finally _. A. make it B. paid off C. are made it D. are paid off
+【答案】：B
+【解析】：【详解】考查动词短语辨析。句意:他们一直努力,而且他们的努力终于奏效了。make it成功,无被动形式,排除C项;A项时态错误而且主语应该是人;pay off意为"(计划等)奏效"时,也没有被动形式。故B项正确。【点睛】注意pay off和make it的区别在于make it以人作主语,而pay off以物(常用努力)作主语。。
+
+
+【题干】：—It’s a good idea. But who’s going to _the plan? —I think Tom and Mike will. A. carry out B. get through C. take in D. set aside
+【答案】：A
+【解析】：【详解】考查动词短语的辨析。句意:——那是一个好主意,但是谁将去执行这个计划呢?——我认为Tom和Mike可以。A. carry out执行;B. get through顺利通过;C. take in吸入; D. set aside留出。根据“the plan”可知,carry out符合句意。故A项正确。。
+
+
+【题干】：This strange grass never seen before seems _to be a new plant. A. likely B. possibly C. probably D. particularly
+【答案】：A
+【解析】：【详解】考查形容词。句意:这种从未见过的草可能是一种新植物。A. likely可能的;B. possibly可能地;C. probably可能地;D. particularly特别地。likely既可用人也可用物作主语,句型是It is likely that...或sb./sth. is likely to (do)...。主语是This strange grass,可以排除B、C两项,D项不符合句意。故选A选项正确。【点睛】同类辨析 possible,probable与likely (1)possible客观上有可能,含有希望很小的意味。常用句型有It is possible(for sb.)to do sth.或It is possible that...。作表语时不能用人作主语。 (2)probable指有根据、合情合理、可能性比possible大,表示“很可能”。probable只能用It is probable that...句型。作表语时也不能用人作主语。 (3)likely指从外表、迹象上判断,有可能发生。与probable意思相近。likely既可用人也可用物作主语,句型是It is likely that...或sb./sth. is likely to (do)...。 分析本句可知。likely既可用人也可用物作主语,句型是It is likely that...或sb./sth. is likely to (do)...。主语是This strange grass,可以排除B、C两项,D项不符合句意。故选A选项正确。。
+
+
+【题干】：Among _ writers in the world, only a few will become famous later on in life, and _writer is Mo Yan, who has received the Nobel Prize for literature recently. A. so much; such a B. many such; such one C. so many; one such D. so many; such one
+【答案】：C
+【解析】：【详解】考查形容词。句意:在世界上如此多的作家中,只有少数人会在晚年成名,莫言就是像这样的一个,他最近获得了诺贝尔文学奖。so many +可数名词复数;one+ such+名词。故C选项正确。。
+
+
+【题干】：The factory produced _ in 2014 as the year before. A. twice as many cars B. cars twice as many C. twice more cars D. twice so many cars
+【答案】：A
+【解析】：【详解】考查倍数表达法。句意:这家工厂在2014年生产汽车的数量是上一年的两倍。倍数表达法的结构(即 “……倍数+as +many/much+名词+as……”)可知,A项既符合句意又符合倍数表达法。故A选项正确。【点睛】表示倍数的句型: (1)A is+倍数+比较级+than+B (2)A is+倍数+as+原级+as+B (3)A is+倍数+the+名词(size,length,height 等)+of+B (4)A is+倍数+that+of+B (5)A is+倍数+what 引导的名词性从句 分析本句可知,本句为第2点的变形,谓语变成了实义动词,其它结构为:倍数+as +many/much+名词+as。可知A项既符合句意又符合倍数表达法。故A选项正确。。
+
+
+【题干】：No offence, but I want to say that the driver is not the one_ for the accident. A. to be blamed B. blamed C. blaming D. to blame
+【答案】：D
+【解析】：【详解】考查动词不定式作后置定语。句意:无意冒犯,但我想说这次事故不应该怪司机。be to blame“受到责备”,此处是动词不定式作后置定语,故选D。。
+
+
+【题干】：the city’s contributions to improving habitat and urban environment, Xuzhou was awarded the “United Nation Habitat Award” in 2018. A. In regard to B. In response to C. In recognition of D. In favor of
+【答案】：C
+【解析】：【详解】考查词组。A. In regard to关于,至于; B. In response to对-有反应; C. In recognition of承认-而; D. In favor of赞同。句意:为表彰徐州市为改善人居环境和城市环境做出的贡献,徐州市于2018年荣获“联合国人居奖”。结合句意可知答案为C。。
+
+
+【题干】：UN peacekeeping forces are expected to positions along the border between the countries. A. make up B. come up C. turn up D. take up
+【答案】：D
+【解析】：【详解】考查动词短语。A. make up组成,编造; B. come up走进,被提出; C. turn up 出现; D. take up拿起,开始从事。句意:预计联合国维和部队将在两国边境沿线建立据点。结合句意可知答案为D。。
+
+
+【题干】：I _ an old friend of mine when I was in the corner shop having a cup of coffee. A. came out B. came up with C. came across D. came about
+【答案】：C
+【解析】：【详解】考查动词词组。A. came out出现,出版,结果是; B. came up with提出; C. came across碰巧; D. came about形成,产生。句意:当我在街角的商店喝咖啡时,我遇到了我的一个老朋友。故选C。。
+
+
+【题干】：Every winter holiday, I will go back to my hometown and stay with my grandparents, where I don't even _ checking email or anything else. A. mind B. worth C. bother D. escape
+【答案】：C
+【解析】：【详解】考查动词。A. mind介意; B. worth值-的; C. bother打扰; D. escape逃脱。句意:每个寒假,我都会回到我的家乡,和我的祖父母呆在一起,在那里我甚至懒得检查电子邮件或其他任何事情。结合句意可知答案为C。。
+
+
+【题干】：He tried his best to comfort the injured passengers and told them help was _. A. in a way B. by the way C. on the way D. in the way
+【答案】：C
+【解析】：【详解】考查介词词组。A. in a way在某种程度上; B. by the way顺便问一下; C. on the way在途中; D. in the way挡路。句意:他尽力安慰受伤的乘客,告诉他们救援已经在路上了。故选C。。
+
+
+【题干】：He _ breakfast at eight o'clock when he lived alone. But nowadays he has it at seven. A. was used to have B. was used to having C. used to having D. used to have
+【答案】：D
+【解析】：【详解】考查used to和be used to的区别。句意:过去一个人住的时候,他常常8点吃早饭,但现在7点就吃。used to do表示“过去常常做某事”,be used to doing表示“习惯做某事”,故D项正确。。
+
+
+【题干】：He has asked me for this book many times. Please tell him that he _ have it tomorrow. A. must B. may C. shall D. should
+【答案】：C
+【解析】：【详解】考查情态动词。句意:他多次向我要这本书,请告诉他明天他就能拿到。根据句意可知此处是说话人的允诺,shall表示“允诺”,故C项正确。。
+
+
+【题干】：The football always reminds me of my mistake in that match, so I put it away somewhere out of my _. A. scene B. sight C. view D. scenery
+【答案】：B
+【解析】：【详解】考查名词词义辨析。A. scene情景;B. sight视力、视野;C. view角度;D. scenery风景。句意:那个足球总能让我想起我在那场比赛中犯的错误,所以我把它放在我看不见的地方。out of sight表示“视野之外;看不见”,故B项正确。。
+
+
+【题干】：-Will you go travelling with me this summer? -I'm not sure. I _ have to take care of my grandma. A. may B. shall C. need D. must
+【答案】：A
+【解析】：【详解】考查情态动词。A. may可能;B. shall应该;C. need需要;D. must必须。句意:——今年夏天你和我一起去旅行么?——不一定,我可能要照顾祖母。根据“I'm not sure”判断此处表示“可能”,故A项正确。。
+
+
+【题干】：That strange-looking man has been _ here for over half an hour. What does he want? A. hanging on B. hanging up C. hanging about D. hanging back
+【答案】：C
+【解析】：【详解】考查动词短语辨析。A. hanging on坚持下去;B. hanging up挂断;C. hanging about徘徊、闲逛;D. hanging back犹豫。句意:那个看起来很奇怪的人已经在这里徘徊半个多小时了,他想要干什么?根据句意可知此处表示“徘徊”,故C项正确。。
+
+
+【题干】：In the last few years, China _ great achievements in environmental protection. A. was making B. made C. had made D. has made
+【答案】：D
+【解析】：【详解】考查时态。句意:在过去几年里,中国已经在环境保护方面取得了很大的成就。时间状语“In the last few years”表明应该使用现在完成时,故D项正确。。
+
+
+【题干】：The professor demanded that all the essays _ to him by Jan. 10th . A. hand in B. be handed in C. should hand in D. were handed in
+【答案】：B
+【解析】：【详解】考查语态和虚拟语气。句意:教授要求所有的论文在1月10日前交上来。essays与hand in之间是被动关系,应该用被动语态,demand后的宾语从句应该用should do的虚拟语气,should可以省略,故B项正确。【点睛】注意在表示建议、要求、命令以及坚持等词后的宾语从句中要用should+动词的虚拟语气,其中should可以省略。。
+
+
+【题干】：We'll _ the problem and call you when we have more information. Please wait for our reply. A. look out B. look on C. look up D. look into
+【答案】：D
+【解析】：【详解】考查动词短语辨析。A. look out注意;B. look on看待;C. look up查阅;D. look into调查。句意:我们会调查这个问题,有了进一步消息会打电话给你,请等待我们的回复。根据句意可知此处表示“调查”,故D项正确。。
+
+
+【题干】：The novel I had chosen was long and difficult, but finally I _ reading it and wrote an excellent book report. A. managed to finish B. managed finishing C. tried to finish D. tried finishing
+【答案】：A
+【解析】：【详解】考查manage to do和try to do及try doing的区别。句意:虽然我选的那本小说又难又长,但我还是设法读完并写了一份出色的读书报告。manage to do表示“设法做成”,try to do表示“努力做”,try doing表示“尝试做”,根据句意可知此处表示“设法做成”,故A项正确。。
+
+
+【题干】：—How is Amy suffering from liver failure? —The doctor has said if in a proper way, she is likely to recover. A. to be treated B. treated C. treating D. is treated
+【答案】：B
+【解析】：【详解】考查省略句。句意:-艾米患肝衰竭怎么样了?-医生说如果治疗得当,她很可能会康复。分析句子可知,从句是非谓语,其逻辑主语是主句的主语she,she与动词treat二者是被动关系,即“她如果被治病得当的话,就会康复”。相当于句中省略了she is,故选B。。
+
+
+【题干】：Every time he is late, David will an excuse. So I wonder what his excuse is this time. A. step up B. turn up C. mix up D. make up
+【答案】：D
+【解析】：【详解】考查动词短语辨析。句意:每次大卫迟到,他都会找个借口。所以我想知道这次他的借口是什么。step up增加, 加快速度;;turn up出现, 开大;mix up混合,把搞糊涂;make up组成,化妆,编造。根据后面“我想知道这次他的借口是什么”,可知,大卫是找借口。make up an excuse为固定搭配,意为“找借口,编造借口”,符合题意,故选D。。
+
+
+【题干】：— Shall we go for a drink downstairs? — . Will two o’clock be OK? A. Sorry, I’m not available now B. Sure, no problem C. Sorry, I can’t make it today D. Sure, it’s up to you
+【答案】：A
+【解析】：【详解】考查情景对话。句意:-我们去楼下喝一杯好吗?-对不起,现在没空。两点可以吗? Sorry, I’m not available now. 抱歉,现在没空;Sure, no problem当然,没问题;Sorry, I can’t make it today对不起,今天不行;D. Sure, it’s up to you当然,由你决定。根据“两点钟可以吗”可知,现在没空,故选A。。
+
+
+【题干】：_David’s classmate wanted to tell him was_great an effort his teacher had made to help him out. A. What;what B. That;how C. What;how D. What;that
+【答案】：C
+【解析】：【详解】考查主语从句与表语从句。句意:大卫的同学想告诉他的是他的老师为帮助他做了多大的努力。在题干中,was之前为主语从句,从句中him之后缺少直接宾语,故应用what作为引导词;was之后是表语从句,根据感叹句的句型“how+adj.+a/an+名词+主谓”可知,第二个空应用how,故选C。。
+
+
+【题干】：The child was not given a satisfying answer to his question_he came from to the world. A. which B. when C. what D. where
+【答案】：D
+【解析】：【详解】考查同位语从句。句意:那个孩子没有得到一个让他满意的答案,他的问题是“他是从哪里来到这个世界上的”。此处的从句修饰名词question,说明的是question的内容,是同位语从句,再根据题干意义可知,此处缺少表示地点的引导词,故选D。。
+
+
+【题干】：With the belief_our dream will come true in June,2016,we feel more motivated to prepare for the College Entrance Examination. A. that B. whether C. which D. what
+【答案】：A
+【解析】：【详解】考查同位语从句。句意:2016年6月我们的梦想就能实现,带着这样的信念,我们感觉备战高考更有动力了。本题为同位语从句,说明belief的内容,从句中不缺少成分,故用that。。
+
+
+【题干】：Foreign Ministry spokeswoman Hua Chunying answered the question _China has confidence in the success of its new round of reforms. A. what B. whether C. that D. when
+【答案】：B
+【解析】：【详解】考查同位语从句。句意:外交部女发言人华春莹回答了中国对新一轮改革的成功是否有信心这一问题。分析句子结构可知,空处引导同位语从句,作question的同位语,从句在结构上很完整,排除代词what。根据句意可知,选B。。
+
+
+【题干】：—The plane is leaving right now,but Jim hasn’t arrived yet. —Well,he said he_here on time. A. came B. would come C. can be D. will be
+【答案】：B
+【解析】：【详解】考查时态。句意:——飞机马上要起飞了,但是吉姆还没有到.——他说过他会准时到这儿。由答语可知应用过去将来时,故选B。。
+
+
+【题干】：They moved here in 2002.Until then they _ in the London area. A. lived B. have lived C. were living D. had lived
+【答案】：D
+【解析】：【详解】考查动词时态。句意:他们2002年搬到这里。在那之前他们一直住在伦敦地区。根据第一句的时间状语“in 2002”和第二句中的“Until then”可知,live表示的动作发生在moved这个过去的动作之前,即表示“过去的过去”,要用过去完成时。故选D。。
+
+
+【题干】：It is the first time that Brazil _ the right to host the modern Olympics. A. had had B. has C. had D. has had
+【答案】：D
+【解析】：【详解】考查动词的时态。句意:这是巴西第一次获得举办现代奥运会的权利。本句是“It is+the+first/second/...+time+ that从句”句型,从句应用现在完成时,故选D。。
+
+
+【题干】：I don't know when he back. Please tell me when he back. A. comes, comes B. comes, will come C. will come, comes D. will come, come
+【答案】：C
+【解析】：【详解】考查时态。句意:我不知道他将会在什么时候回来。当他回来时,请告诉我。第一个空,结合语境"我不知道他什么时候回来",可知,表示将来某一时刻的动作或状态,应该用一般将来时态will come。第二个空,结合语境"当他回来时,请告诉我。"表示客观事实,用一般现在时态,主语是he,谓语用第三人称单数comes。答案是C。。
+
+
+【题干】：An anti-corruption campaign has continued_Dec.25,2013 when the Communist Party of China issued a five-year anti-corruption plan. A. in B. on C. by D. since
+【答案】：D
+【解析】：【详解】考查since引导的状语从句。句意:一场反腐运动从2013年12月25日中国共产党发布了一个五年的反腐计划之后一直持续到现在。该句是一个since引导的时间状语从句和一个when引导的定语从句的复合句。since引导的状语从句的谓语为延续性动词的现在完成时,则表示动作和状态延续到现在(说话时刻),其表示的时间的起点应从动作发生之时算起,故选D。。
+
+
+【题干】：Actually,_we’re done a lot to develop a low-carbon economy,it doesn’t live up to our expectations. A. after B. once C. unless D. though
+【答案】：D
+【解析】：【详解】考查though引导的让步状语从句。after在……之后;once一旦……;unless除非……;live up to不辜负……,达到高标准。though的意思为尽管。根据句意:尽管我们为了发展低碳经济做了很多,但实际上,我们的期望并没有达到。故选D。。
+
+
+【题干】：—So,_your misfortunes,you should try to stay busy and bear in mind that everyone gets one opportunity or another if they keep trying. —Thanks,I will. A. however B. whatever C. whenever D. whichever
+【答案】：B
+【解析】：【详解】考查让步状语从句。句意:——因此,无论你遭受什么不幸,都应该努力保持忙碌的状态,并记住,只要不断努力,每个人都能得到这样或那样的机会。——谢谢,我会的。whatever your misfortunes是让步状语从句whatever your misfortunes are的省略形式。故选B。。
+
+
+【题干】：_ more and more forests were destroyed, some animals are facing the danger of dying out. A. By B. With C. As D. For
+【答案】：C
+【解析】：【详解】考查连词和介词用法。句意:随着越来越多的森林遭到破坏,一些动物正面临着灭绝的危险。空格后是一个完整的句子,故用as来引导状语从句。其他几个选项都是介词,后面不能接句子。故选C。。
+
+
+【题干】：To be great, you must be smart, confident, and, _, honest. A. therefore B. above all C. however D. after all
+【答案】：B
+【解析】：【详解】考查副词和短语。句意:要想成为一个伟大的人,你必须得聪明、自信,并且最重要的是诚实。therefore“因此,所以”;above all“首先,尤其是,最重要的是”;however“然而,可是”;after all“毕竟,终究”。故选B。。
+
+
+【题干】：The girl _ in bed _ to us that she had _ the book on the bookshelf. A. lay; lied; lay B. lying; lay; laid C. lying; lied; laid D. lied; lied; laid
+【答案】：C
+【解析】：【详解】考查动词。句意:躺在床上的小姑娘向我们撒谎说她把书放在书橱上了。第一个空lying in bed作定语修饰the girl,因其与所修饰的词之间是主谓关系,故用现在分词;第二个空是撒谎的意思,过去式是lied;第三个空是放置的意思,此处是过去完成时,过去分词是laid。故选C。【点睛】记住这个顺口溜:撒谎(lie)的规则(lied/lied/lying),不规则的是躺(lie),躺下(lay/lain/lying)就下蛋(lay),下蛋不规则(laid/laid/laying)。。
+
+
+【题干】：Jane laughs loudly and laughs a lot,which enables us to know her coming before she_. A. turns up B. turns around C. turns back D. turns away
+【答案】：A
+【解析】：【详解】考查动词短语。句意:Jane大笑并多次大笑,这使我们能够在她还没到时就知道她来了。turn up出现,露面;turn around转过身来,翻转;turn back 往回走,反悔;turn away不准……进入。根据主句的loudly和a lot判断,是人未到声先闻。故选A。。
+
+
+【题干】：I prefer a table that can be_when not used so that it may save a lot of space. A. cleared up B. folded up C. fixed up D. taken up
+【答案】：B
+【解析】：【详解】考查动词短语。句意:我喜欢不用的时候能够被折叠的桌子,这样它能节省许多空间。clear up清理,放晴,整理;fold up折叠;fix up安装;take up占用。根据so that的从句内容判断选B。。
+
+
+【题干】：—Do you mind if I open the window? —No,_. A. Look out B. Forget it C. Go ahead D. Take it easy
+【答案】：C
+【解析】：【详解】考查动词短语。句意:——如果我打开窗户你介意吗?——不介意,开吧。look out注意;forget it忘记它;go ahead口语中常用,表示同意;take it easy别着急。根据语意选C。。
+
+
+【题干】：—How did Professor Li’s lecture impress you? —I just heard his voice but couldn’t_what he was saying. A. pick out B. make out C. think out D. squeeze out
+【答案】：B
+【解析】：【详解】考查动词短语辨析。句意:——你对Professor Li的演讲印象如何?——我只是听到他的声音,但不清楚他说的是什么。pick out挑选出,认出;make out看清,听清;think out想出;squeeze out榨出,榨取。根据题意选B。。
+
+
+【题干】：It’s obvious that getting these historic sites recognized by the world is helpful for preserving and repairing them,as it_ their extreme importance and value. A. associates B. symbolizes C. stresses D. abolishes
+【答案】：C
+【解析】：【详解】考查动词辨析。句意:很显然,这些历史遗址得到世界的承认对保存和修理它们是有帮助的,因为它强调了它们的特别重要性和价值。associate联系;symbolize使成为象征;stress强调;abolish清除。故选C。。
+
+
+【题干】：Peter was a heart breaker.He deserted his wife the moment his business began to _. A. take up B. take out C. take over D. take off
+【答案】：D
+【解析】：【详解】考查短语辨析。句意:彼得是一个负心人。事业一成功他就抛弃了妻子。take up占据;拿起;take out取出;take over接管;take off腾飞,突然成功。故选D。。
+
+
+【题干】：—Pardon? Who will come? —_. A. The friend of Mr. Green’s B. A friend of a teacher’s C. The aunt of Tom’s D. A cousin of my father’s
+【答案】：D
+【解析】：【详解】考查名词所有格。句意:—我没听清,谁要来?—我父亲的一个表兄。双重所有格中,带有’s的名词表示必须是明确限定的指人的名词,同时of前面的名词必须不确指,故D项正确。。
+
+
+【题干】：The train was delayed because of the heavy fog. Mr. Smith is _ to arrive a bit late. A. likely B. possible C. probable D. partial
+【答案】：A
+【解析】：【详解】考查形容词词义辨析。句意:由于大雾火车晚点了,史密斯先生可能晚到一会儿。D. partial部分的,likely,possible和probable都表示“可能的”,likely可用于人或物作主语的句子,也可用于it is likely that句型,但possible和probable一般只用于it is possible/probable that句型,故A项正确。【点睛】likely,possible和probable都表示“可能的”,likely强调表面上看起来可能,probable强调权衡理由后相信会发生,虽然不能确定,但极有可能发生,possible发生的可能性极小,所以三者的可能性probable>likely>possible,用法方面,likely可用于人或物作主语的句子,也可用于it is likely that句型,但possible和probable一般只用于it is possible/probable that句型。。
+
+
+【题干】：The climate here is quite different from _ of Shenyang. A. this B. it C. that D. one
+【答案】：C
+【解析】：【详解】考查代词词义辨析。句意:这里的气候与沈阳的气候很不一样。A. this指这个;B. it指上文中出现的那一个;C. that指不可数名词;D. one指同类中的一个。句子中是把这里的气候和沈阳的气候比较,且climate是不可数名词,故C项正确。。
+
+
+【题干】：Please give us the reason _ the goods were delayed. A. why B. which C. what D. how
+【答案】：A
+【解析】：【详解】考查定语从句。句意:请告诉我们货物延误的原因。分析句子结构可知,空格后为定语从句,修饰前面的名词reason;定语从句中缺少原因状语,应使用关系副词why来引导。故A选项正确。。
+
+
+【题干】：Put on your coat! I _ you down to the doctor. A. am taking B. was taken C. take D. will be taken
+【答案】：A
+【解析】：【详解】考察时态。句意:穿上你的衣服!我要带你去看医生。本题使用现在进行时代替将来时,表示事先计划好,安排好的要发生的事情。根据前句:穿上你的衣服可知,已经有了事先的计划和安排。故A选项正确。。
+
+
+【题干】：It _ not until she came back _ Jane realized that she had lost her ID card. A. is, that B. was, who C. was, that D. is, who
+【答案】：C
+【解析】：【详解】考查强调句及时态。句意:直到到了家,简才发现她的身份证丢了。在高中英语中not和until只能在两种情况下紧挨着出现:①强调句型It is/was not until…that…;②倒装句型Not until…。在其他情况一律用not…until…分析句子结构可知,此处为强调句,又因句子使用了一般现在时和过去完成时可知,此处应使用was。故C选项正确。【点睛】本题难度适中。强调句型是高中阶段的重难点之一,也是高考的热点,需要考生有分析理解句子的结构的能力。近几年高考把强调句型与其他从句混合在一起考查更增加了试题的难度。 即学即练:- He got his first book published. It turned out to be a bestseller. - When was _? - _ was in 2000 when he was still in college. A. that; This B. this; It C. it; This D. that; It 解析:D。第一个空that代指前面那件事,意思是“那是什么时候”?后一个空是用 it 强调句型来强调,意思 是“那是在2000年他还在读大学的时候(他出版了他的第一本新书)”,句中when引导的是定语从句,强调句型中的“…that he got his first book published”省略了。。
+
+
+【题干】：The teacher told us the other day that light _ faster than sound. A. travelled B. is travelling C. travels D. had travelled
+【答案】：C
+【解析】：【详解】考查时态。句意:前几天老师告诉我们光比声音传播得快。根据句意可知,从句叙述的是一个客观存在的事实,应用一般现在时态。故C选项正确。。
+
+
+【题干】：I finally managed to Tom to accompany me to the stadium. A. prefer B. purchase C. persuade D. pack
+【答案】：C
+【解析】：【详解】考查动词辨析。A. prefer更喜欢;B. purchase购买;C. persuade劝说;D. pack打包。句意:我最终成功劝说汤姆陪我去体育馆。根据句意可知,此处指“劝说某人做某事”。故B选项正确。。
+
+
+【题干】：There is sometimes no way to from brain injury. A. release B. rescue C. ruin D. recover
+【答案】：D
+【解析】：【详解】考查动词辨析。A. release释放;B. rescue营救;C. ruin毁灭;D. recover恢复。句意:有时脑部损伤是无法恢复的。根据句意可知,此处指“恢复”。故D选项正确。。
+
+
+【题干】：The of the killer is still unknown, which is why the citizens here are rather worried. A. identity B. quality C. equality D. facility
+【答案】：A
+【解析】：【详解】考查名词辨析。A. identity身份;B. quality品质;C. equality平等;D. facility设备。句意:凶手的身份仍不清楚,这就是为什么这里的市民相当担心。根据句意可知,此处指“凶手的身份”。故A选项正确。。
+
+
+【题干】：He returned to his country after the war was (结束). A. in the end B. at an end C. to the end D. till the end
+【答案】：B
+【解析】：【详解】考查固定词组辨析。A. in the end终于,最后(事情的终结,故事的完结);B. at an end结束(表示状态,事实);C. to the end到尽头、极限,结束;D. till the end直到最后。句意:战争结束后他回到了祖国。根据句意可知,此处指“战争处于结束的状态”。故B选项正确。。
+
+
+【题干】：I am looking forward to the day _ my daughter can buy me a big house and some luxurious cars. A. as B. why C. when D. where
+【答案】：C
+【解析】：【详解】考查定语从句用法。句中的先行词为the day,在从句my daughter can buy me a big house and some luxurious cars.作时间状语,故用关系副词when。句意:我期待着有一天我的女儿能给我买一座大房子和一些豪华的汽车。故C正确。。
+
+
+【题干】：The teacher raised his voice so that he could make himself _. A. hear B. to be heard C. heard D. hearing
+【答案】：C
+【解析】：【详解】考查过去分词作宾语补足语。结合题干可知这是have sth.done句型,使某物被…,结合句意:老师提高声音以便于别人能听见自己。也就是使自己被别人听见,故选C。。
+
+
+【题干】：―It was a red light, William. You _ the car. ― Sorry. I didn’t see it. A. should have stopped B. couldn’t have stopped C. must have stopped D. needn’t have stopped
+【答案】：A
+【解析】：【详解】考查虚拟语气。句意:——威廉,红灯亮了。你应该停车。——对不起,我没看见。“must+have+done”表示对过去事情的肯定推测,译成“一定做过某事”; “should+have+done”意思是“本来应该做某事,而实际没做。故选A。【点睛】情态动词+ have done结构: 1.“must + have + 过去分词”表示对过去发生的事情或状态进行推测,语气比较坚定,通常只用于肯定句.如:It must have rained last night,for the ground is wet. 2.“can / could + have + 过去分词”表示对过去某种情况的怀疑或不确定.can和could一般用于否定句和疑问句,could的语气较can弱.如:He can't have finished the work so soon. 3.“may / might + have + 过去分词”表示对已发生的动作或存在的状态进行不肯定的推测,might的语气比may弱一点.这种结构主要用于肯定句和否定句,疑问句改用can或could.如:They may not have known it beforehand. 4.“need + have + 过去分词”表示过去做了不必做或不需要做的事情,或过去做某事纯属多余.如:I needn't have bought so much wine—only five people came. 5.“should / ought to + have + 过去分词”表示过去本该做某事但没做,其否定式表示过去不该做某事但做了,这种句式含有不满或责备之意,ought to的语气比should强一些.如: You ought to / should have studied harder.你本应该更努力学习的.(但没有) He oughtn't to / shouldn't have done that.他本来就不该做那件事.(可是做了) 6.“would + have + 过去分词”表示对过去的某种情况进行猜测,或本来要做某事却因某种原因未做成,通常用来说明某一情况,但不像用should或ought to那样含有责备之意.如:I guess the poet would have been about twenty when she wrote her first poem.。
+
+
+【题干】：The game is not very difficult _ you understand the rules. A. until B. though C. once D. unless
+【答案】：C
+【解析】：【详解】考查条件状语从句。A. until直到-为止;B. though尽管;C. once一旦;D. unless除非。句意:一旦你明白了规则,这个游戏就不难了。此处是once“一旦”引导的条件状语从句,故选C。。
+
+
+【题干】：_the safety of gas, the government has checked the city’s gas supply system thoroughly. A. To ensure B. Ensuring C. Having ensured D. To have ensured
+【答案】：A
+【解析】：【详解】考查不定式用法。句意:为了确保天然气安全,政府已经彻底检查了这个城市的天然气供应系统。句中不定式短语充当目的状语,D项表示谓语动词之前完成的动作,上下文并无此意。故A项正确。。
+
+
+【题干】：As he works in a remote area, he visits his parents only _ A. anxiously B. occasionally C. practically D. urgently
+【答案】：B
+【解析】：【详解】考查副词辨析。A. anxiously焦虑地;B. occasionally偶尔,偶然;C. practically实际地;D. urgently紧急地,迫切地;句意:因为他在偏远地区工作,只能偶尔看望父母亲。根据句意可知occasionally符合语境,故B项正确。。
+
+
+【题干】：The questions the reporter asked sometimes were _ and they made me _. A. embarrassed;embarrassing B. embarrassing;embarrassed C. embarrassed;embarrassed D. embarrassing;embarrassing
+【答案】：B
+【解析】：【详解】考查形容词词义辨析。句意:记者问的问题有时候是令人尴尬的,这些问题让我感到很尴尬。embarrassed人感到尴尬的;embarrassing令人尴尬的。现在分词一般形容物,过去分词一般形容人。故选B。。
+
+
+【题干】：It’s nice to from the busy work into the natural beauty of the countryside. A. get away B. break away C. take away D. look away
+【答案】：A
+【解析】：【详解】考查动词短语词义辨析。句意:从忙碌的工作中走出来,走进乡村的自然美景是很令人愉快的。A. get away离开;B. break away逃脱;C. take away拿走;D. look away望向别处。故选A。。
+
+
+【题干】：Below a few good examples you can follow when you are doing your work. A. is B. has C. are D. have
+【答案】：C
+【解析】：【详解】考查全部倒装和主谓一致。句意:下面是一些好的例子,当你做工作时,你可以效仿。 below 是方位副词,置于句首时用于强调方位,需要全部倒装。句中主语为a few good examples,所以谓语动词用复数形式。故选C。【点睛】分析本题需要注意两点:第一、要判断出此句是一个完全倒装句;第二、要抓住句子的主语。英语中完全倒装有四种类型:1、当表示地点的here和 there位于句首时,其后用完全倒装形式。2、副词away, down, in, off, out, over, round, up, below 等位于句首时,其后也用完全倒装语序。3、为了保持句子平衡或使上下文衔接紧密,有时可将状语或表语置于句首,句中主语和谓语完全倒装。4、有时为了强调,可将谓语部分的现在分词、过去分词或不定式置于句首,从而构成倒装。本题为方位副词below 置于句首构成的完全倒装,再抓住主语a few good examples为复数形式,故选出正确的答案。。
+
+
+【题干】：The more time you spend studying English, . A. the better result will you get B. the better result you will get C. will you get the better result D. you will get the better result
+【答案】：B
+【解析】：【详解】考查形容词比较级。句意:你学习英语花的时间越多,你将得到更好的结果。“the+比较级,the+比较级”结构,常表示“越……,越……”。A选择项运用倒装结构,这里不需要倒装,主句是陈述语气。故选B。。
+
+
+【题干】：- What is the _of graduate students going to university in your school? -About 98 percent. A. number B. size C. percentage D. amount
+【答案】：C
+【解析】：【详解】考查名词辨析。A. number数字;B. size尺寸;C. percentage百分比;D. amount数量;句意:—你们学校毕业生进入大学的比例是多少?—大约百分之98。根据回答可知前句对进入大学的百分之进行提问。故C项正确。。
+
+
+【题干】：Today the students in the countryside should have easy_ computers to keep up with the modern times. A. way of B. way to C. access of D. access to
+【答案】：D
+【解析】：【详解】考查固定短语。短语have access to意为“有权使用,可以进入……”。短语the way to do sth/of doing sth意为“做某事的方法”;句意:今天,农村的学生应该可以很容易地接触到电脑,以跟上现代的步伐。 根据搭配可知D项正确。。
+
+
+【题干】：Xinjiang is not only nationally known _its fruit, especially its seedless grapes, but is also known _a tourist attraction. A. as: as B. for: for C. for. As D. as: for
+【答案】：C
+【解析】：【详解】考查固定短语。短语be known for因为……而出名;be known as…作为……而出名;句意:新疆不仅因为水果而出名,尤其是无籽葡萄,而且作为旅游景点也很出名。根据搭配及句意可知C项正确。。
+
+
+【题干】：- Why don't you buy the necklace since you like it so much? -I_, but I don't have the money A. would B. will C. should D. may
+【答案】：A
+【解析】：【详解】考查虚拟语气。句意:—既然你如此喜欢这条项链,为什么不把它买下来?—我要买的,但我没有钱。本句是一个表示与现在事实相反的虚拟语气,will和may不用于虚拟语气,should的意义不搭配。句中would后面承前省略了buy it。故A项正确。。
+
+
+【题干】：This is the third time I_ Hong Kong. The second time I_ here was on Christmas Day last year. A. have visited; came B. have visited; have come C. visit; came D. visited; had come
+【答案】：A
+【解析】：【详解】考查时态。句意:这是我第三次来香港,第二次我在这里的时候是去年的圣诞节那一天。第一句考查了固定句式:This/It is/was the 序数词 time sb have/has/had done sth,该句式意为“这是某人第几次做某事”,所以第一空中使用have visited;第二空中用一般过去时描述过去发生的事情。故A项正确。【点睛】本题第一空考查了特殊句式“It /That/This is the...time that sb have done sth;该句式意为“这是某人第几次做某事”;结合日常生活实际,能够计算到这是第几次做某事,表明该动作已经发生,因此,要用完成时态——主句用现在时,从句用现在完成时;主句用过去时,从句用过去完成时。。
+
+
+【题干】：_of the teachers in our school is about one hundred, and_ of them are men teachers. A. The number; the small number B. A number; a small number C. The number; a small number D. A number; the small number
+【答案】：C
+【解析】：【详解】考查固定搭配和主谓一致。句意:我们学校里老师的数量大约是100,其中一小部分是男老师。第一空考查了the number of意为“……的数量”,做主语的时候,谓语要用单数形式;第二空考查了“a number of”意为“许多”修饰可数名词复数形式,做主语时谓语动词使用复数形式。故C项正确。【点睛】本小题考查了主谓一致的用法,部分用法归纳如下: 1. 单数名词(代词),不可数名词做主语时,谓语用单数形式,复数名词(代词) 做主语,谓语用复数形式。 The desk is Tom’s. 这张桌子是汤姆的。 Some water is in the bottle. 一些水在瓶子里。 The students are playing football on the playground. 这些学生正在操场上踢足球。 2. many a+单数名词做主语,意义虽为“许多”,但谓语要用单数形式。 Many a student has been to Shanghai. 许多学生到过上海。 3. more than one+单数名词做主语,谓语用单数。 More than one student has ever been to Beijing. 不止一个学生曾经去过北京。 4. 表示时间,价格,重量,数目,长度,数学运算等的词或短语作主语时,这些通常作一个整体概念,谓语用单数形式。例如: Two months is a long holiday. 两个月是一个长假。 Twenty pounds isn’t so heavy. 2 0英镑并不太重。 Ten miles isn’t a long distance. 1 0英里并不是一段很长的距离。 Five minus four is one. 5减4等于1。 5. 主语是each/every+单数名词+and(each/every)+单数名词时,谓语动词用单数。 Each boy and each girl has got a seat. 每个男孩和女孩都有一个座位。 Every man and every woman is at work. 每个男人和女人都在工作。 6. one and a half+复数名词做主语,谓语动词用单数形式。 One and a half hours is enough. 一个半小时足够了。 7. 动词不定式,动名词做主语时,谓语动词用单数形式。 To see is to believe 眼见为实。 Doing eye exercises is good for your eyes. 做眼睛保健操对你的眼睛十分有益。因此在实际操练中要指导学法,掌握基本用法,注意变化就能突破。
+
+
+【题干】：Such arguments the question of where the responsibility lay. A. miss B. study C. ignore D. upset
+【答案】：C
+【解析】：【详解】考查动词词义辨析。A. miss错过、想念;B. study研究、学习;C. ignore忽视;D. upset使沮丧。句意:这些论点忽视了责任在哪里的问题。根据句意可知此处表示“忽视”,故C项正确。。
+
+
+【题干】：—Chinese football team will play against Japanese team tomorrow. I’m sure we will win. — ! A. Congratulations B. Cheers C. Good luck D. Best wishes
+【答案】：C
+【解析】：【详解】考查情景交际。A. Congratulations恭喜你;B. Cheers干杯;Good luck祝你好运;D. Best wishes祝福你。句意:——国足明天将迎战日本队,我相信我们一定会赢得比赛。——祝我们好运!比赛还未开始,应该用Good luck表示希望会赢,故C项正确。。
+
+
+【题干】：The wounded sportsman walked slowly across the field, by one of his teammates. A. supporting B. support C. supported D. been supported
+【答案】：C
+【解析】：【详解】考查非谓语动词。句意:受伤的运动员在队友的搀扶下慢慢穿过场地。sportsman与support是逻辑上的动宾关系,表示被动,用过去分词作状语,故C项正确。。
+
+
+【题干】：Li Hua the exam, but he was too careless. A. could have passed B. should pass C. must have passed D. can pass
+【答案】：A
+【解析】：【详解】考查虚拟语气。句意:李华本能通过考试,但是他太粗心了。表示与过去的事实相反,应该用情态动词+have done的虚拟,could have done表示“本能……而实际没有”,must have done表示对过去事情最肯定的推测,表示“一定”,故A项正确。。
+
+
+【题干】：—When are you leaving? —My train at 11:30 A. will leave B. is to leave C. is about to leave D. leaves
+【答案】：D
+【解析】：【详解】考查时态。句意:你什么时候走?列车11点半发车。表示按照时刻表发生的动作用一般现在时表示将来,故D项正确。。
+
+
+【题干】：Our Chinese teacher requested that the homework tomorrow afternoon. A. would be handed in B. be handed in C. hand in D. must be handed
+【答案】：B
+【解析】：【详解】考查虚拟语气。句意:语文老师要求我们明天下午交作业。request后的宾语从句需要用should do的虚拟语气,其中should可以省略,homework与hand in之间是被动关系,故B项正确。【点睛】在一些表示建议、要求及命令的动词后的宾语从句中要使用should do的虚拟语气,其中should可以省略。这些常见的动词有insist,demand,order,request及advise等。。
+
+
+【题干】：Yoga has gained increasing popularity in that it is believed to be able to prevent muscle tension and stiffness thus keeping the body _. A. sensitive B. flexible C. energetic D. allergic
+【答案】：B
+【解析】：【详解】考查形容词辨析。句意:瑜伽越来越受欢迎,因为它被认为能够防止肌肉紧张和僵硬,从而保持身体的灵活性。文中表示“从而保持身体灵活”,sensitive“敏感的”;flexible“灵活的”;energetic“精力充沛的”;allergic“过敏的”,根据题意,故选B。。
+
+
+【题干】：I don’t think it was an accident.He did it_ A. in purpose B. on purpose C. by accident D. by purpose
+【答案】：B
+【解析】：【详解】考查固定短语。句意:我不认为它是一次事故。他故意做的。A和D的短语不存在,根据题干上文意思“我不认为它是一次事故。”由此推断出他是故意的,B. on purpose 故意地;C. by accident偶然,故选B。。
+
+
+【题干】：We have different pies,_apples,cherry,and strawberry pies A. such that B. for example C. such as D. so that
+【答案】：C
+【解析】：【详解】考查固定短语辨析。句意:我们有不同的派,例如:苹果,樱桃,和草莓派。A. such that如此…以致;B. for example例如;C. such as例如;D. so that以便,such as用来“罗列”同类人或物中的几个例子,可置于被列举的事物与前面的名词之间,但其后边不能用逗号;for example强调“举例”说明,而且一般只举同类人或物中的一个作为插入语,且用逗号隔开,可置于句首、句中或句末,故选C。。
+
+
+【题干】：Even though he is a child,he is good at_others. A. communicates with B. communicating with C. communicating to D. communicated with
+【答案】：B
+【解析】：【详解】考查固定短语。句意:虽然他是一个孩子,但是他非常擅长和别人交流。communicate with交流,该短语是固定短语,be good at擅长,该短语也是固定短语,其中at是介词,后面接v+ing形式,故选B。。
+
+
+【题干】：Not all of my friend are fond_chatting on the net A. about B. with C. to D. of
+【答案】：D
+【解析】：【详解】考查固定短语。句意:并非我所有的朋友都喜欢网上聊天。be fond of喜欢,该短语是固定短语,故选D。。
+
+
+【题干】：—What about watching a ballet show this evening? —Thanks for inviting me, but ballet isn’t really _. A. the apple of my eye B. my feet of clay C. my cup of tea D. the salt of the earth
+【答案】：C
+【解析】：【详解】考查固定用法。A. the apple of my eyes我的掌上明珠; B. my feet of clay我致命的弱点; C. my cup of tea不是我喜欢的; D. the salt of the earth社会中坚。句意:—今晚去看芭蕾舞表演怎么样?—谢谢你邀请我,但我不太喜欢跳芭蕾舞。结合句意可知答案为C。。
+
+
+【题干】：Faced with the dilemma, the company committee _ a public statement, appointing the capable man to be its new global chief financial officer. A. pulled out B. put out C. reached out D. drew out
+【答案】：B
+【解析】：【详解】考查动词短语辨析。句意:面对这种困境,公司委员会发表了一份公开声明,任命这位有能力的人担任新的全球首席财务官。A. pulled out拔出;B. put out熄灭,出版; C. reached out伸出;D. drew out取出,导致。根据“appointing the capable man to be its new global chief financial officer.”可知,是发布声明,故选B项。。
+
+
+【题干】：_ well for my job interview, I really had butterflies in my stomach on my way to the company I had applied to. A. Having not prepared B. Not having prepared C. Not to have prepared D. To have not prepared
+【答案】：B
+【解析】：【详解】考查现在分词作原因状语。句意:由于没有为面试做好准备,我在去我申请的那家公司的路上心里七上八下的。句子主语I和prepare之间是主动关系,且prepare的动作先于谓语动词的动作,所以要用现在分词的完成式作原因状语,结合句意可知答案为B。。
+
+
+【题干】：_ and open to various interpretations, the terms of the new proposal need improving based on the interests of both sides. A. Accessible B. Apparent C. Ambiguous D. Aggressive
+【答案】：C
+【解析】：【详解】考查形容词。A. Accessible可进入的; B. Apparent显然的; C. Ambiguous模糊不清的; D. Aggressive侵略性的。句意:新提案的条款模棱两可,可以有多种解释,需要从双方利益出发加以完善。结合句意可知答案为C。。
+
+
+【题干】：_, you will feel a little nervous when you first perform for the public. A. Luckily B. Naturally C. Hopefully D. Partly
+【答案】：B
+【解析】：【详解】考查副词辨析。句意:当然,第一次为公众表演时,你会感到紧张。A. Luckily 表示“幸运地”、“幸好”;B. Naturally 表示“自然地”、“当然”;C. Hopefully 表示“怀有 希望的”;D. Partly 表示“在某种程度上”、“部分地”。根据句意可知选B。。
+
+
+【题干】：The air pollution is so terrible. It will be worse _ we do something to protect the environment. A. if B. when C. unless D. since
+【答案】：C
+【解析】：【详解】考查连接词。句意:空气污染太严重。除非我们采取保护措施,否则环境将变得更糟。A. if 表示“假设”、“如果”,可引导条件状语从句;B. when 表示“当… 时候”,引导时间状语从句;C. unless 表示“除非…否则…”;D. since 作连词时,表示“因为”、“既然”,引导原因状语从句。根据句意可知选C。。
+
+
+【题干】：He claimed to be American, but his accent _. A. gave him away B. turned him up C. brought him up D. took him away
+【答案】：A
+【解析】：【详解】考查动词短语辨析。句意:他声称是美国人,但他的口音出卖了他。A. give sb. away “暴露(身份)”、“赠送”;B. turn up “(意外或终于)出现”;C. bring sb/sth up“ 提 出”、“抚养”;D. take sb/sth away “拿走、带走”。根据句意故选A。。
+
+
+【题干】：Forty days from now, the young athletes from all over China _ part in the 2nd Youth Sports Meeting in our city. A. will be taken B. would be taken C. would be taking D. will be taking
+【答案】：D
+【解析】：【详解】考查动词时态。句意:四十天后,来自全中国的年轻运动员,将在我们城市参加第二届青年运动会。 首先通过时间标志词 forty days from now,可知为将来时,故可排除 B 与 C 选项;且运动员是主动参加,故排除 A 选项;所以选 D,将来进行时。。
+
+
+【题干】：Do you think his tie is _? A. a same as my B. the same like I C. the same as mine D. the same to me
+【答案】：C
+【解析】：【详解】考查固定短语和名词性物主代词。句意:你认为他的领带和你的一样吗?the same as“和……一样”;mine代替my tie。故选C。。
+
+
+【题干】：To _ credit the four countries _ work together in some areas. A. their; do B. them; does C. its; did D. they; to do
+【答案】：A
+【解析】：【详解】考查代词和强调。句意:值得赞扬的是,这四个国家确实在某些领域进行了合作。to one’s credit表示“值得赞扬的是”,主语是the four countries,所以第一空用形容词性物主代词their;第二空强调谓语work,讲述的是现在的事情,应该用一般现在时,主语是复数,用助动词do+动词原形,表示强调,故选A。。
+
+
+【题干】：This is _ classroom. Where is _? A. our;them B. us;they C. our;theirs D. ours;theirs
+【答案】：C
+【解析】：【详解】考查代词。句意:这是我们的教室,他们的教室在哪儿呢? 第一空,修饰名词classroom要用形容词性物主代词;第二空后没有名词,要用名词性物主代词,theirs相当于their classroom,故选C。。
+
+
+【题干】：You’d better ask for help at the beginning rather than wait until a busy period _ everyone is rushed off their feet. A. that B. which C. when D. where
+【答案】：C
+【解析】：【详解】考查定语从句。句意:你最好一开始就寻求帮助,而不要等到每个人都忙得不可开交的忙碌时候。此处period是先行词,在后面的定语从句中作时间状语,故选C。。
+
+
+【题干】：Deliberately push yourself out of your _. Try things that you do not normally try. A. origin B. budget C. routine D. identity
+【答案】：C
+【解析】：【详解】考查名词词义辨析。A. origin起源;B. budget预算;C. routine常规,惯例;D. identity身份。句意:故意让自己脱离常规。尝试一些你通常不会尝试的事情。结合句意可知答案为C。。
+
+
+【题干】：Leaders of the two countries have had _ contacts and continuously promoted their political mutual trust. A. frequent B. secure C. specific D. social
+【答案】：A
+【解析】：【详解】考查形容词。A. frequent频繁的;B. secure安全的;C. specific特定的,明确的;D. social社交的。句意:两国领导人交往频繁,政治互信不断增强。结合句意可知答案为A。。
+
+
+【题干】：He couldn’t _ his idea in the speech, so we didn’t know what he had meant to say. A. get back B. get into C. get across D. get through
+【答案】：C
+【解析】：【详解】考查动词词组。A. get back回来;B. get into 进入,陷入;C. get across通过,使……被理解;D. get through通过,到达,接通电话。句意:他在演讲中无法表达自己的意思,所以我们不知道他想说什么。结合句意可知答案为C。。
+
+
+【题干】：You will find as you read this book that you just can’t keep some of these stories to _. You will want to share them with a friend. A. itself B. yourself C. himself D. themselves
+【答案】：B
+【解析】：【详解】考查固定搭配。句意:当你读这本书的时候你会发现,你不会只是独享这些故事,而会想与一个朋友分享它们。keep…to oneself表示"独享",根据You判断此处用yourself,故选B。。
+
+
+【题干】：I wanted to talk to the boss_ and to nobody else. A. yourself B. themselves C. himself D. myself
+【答案】：C
+【解析】：【详解】考查反身代词。句意:我想和老板本人谈话,不是别的任何人。此处指"老板本人",故选C。。
+
+
+【题干】：—Mike, you don’t seem to be quite_today. —Well, I hardly slept last night. I was preparing for an exam. A. itself B. yourself C. you D. ourselves
+【答案】：B
+【解析】：【详解】考查固定短语。句意:——迈克,你今天好像不大对劲。——我昨晚几乎没睡,为考试做准备。be oneself表示“身心自在,怡然自得”,指身体、精神状况好,根据you可知,此处用yourself,故选B。。
+
+
+【题干】：Whenever or however you take notes, _ that note-taking is a selective process. A. keep in mind B. set one’s mind C. make up one’s mind D. come into mind
+【答案】：A
+【解析】：【详解】考查动词短语辨析。句意:无论你什么时候或不管你如何做笔记,牢记:记笔记是一个选择性过程。keep in mind牢记;B. set one’s mind专心于;C. make up one’s mind下决心;D. come into mind想起来。根据句意可得知A选项符合题意。故选A。。
+
+
+【题干】：He _courage to make an apology. A. is lacking in B. lies in C. loses himself in D. is linked to
+【答案】：A
+【解析】：【详解】考查动词短语辨析。句意:他缺乏道歉的勇气。A. is lacking in缺乏;B. lies in 存在于;C. loses himself in迷失于;陷于;D. is linked to与…相联系。根据句意可得知A选项符合题意。故选A。。
+
+
+【题干】：The book is _ help the English beginners. A. impressed with B. intended to C. indicated to D. involved in
+【答案】：B
+【解析】：【详解】考查动词短语辨析。句意:这本书旨在于帮助英语初学者。A. impressed with对…印象深刻;B. intended to旨在于,针对;C. indicated to暗示;D. involved in参与,卷入。根据句意可得知B选项符合题意。故选B。。
+
+
+【题干】：One’s life has value_ one brings value to the life of others. A. so long as B. even though C. as if D. while
+【答案】：A
+【解析】：【详解】考查连词。句意:只要为他人的生命带来价值,一个人的生命就具有价值。A. so long as只要;B. even though即使,纵然;C. as if似乎;D. while当…时,尽管。根据句意可得知A选项符合题意。故选A。。
+
+
+【题干】：It is reported that the police will soon _ the case of the two missing children. A. look into B. long for C. mirror D. leave behind
+【答案】：A
+【解析】：【详解】考查动词和动词短语辨析。句意:据报道,警察将很快调查两个孩子失踪的案子。A. look into调查;B. long for渴望;C. mirror反映;D. leave behind落下。根据句意可得知A选项符合题意。故选A。。
+
+
+【题干】：Cassie got himself into an embarrassing situation _ none of the publishers would touch her and publish her new works. A. that B. when C. as D. where
+【答案】：D
+【解析】：【详解】考查定语从句关系词。句意:卡西陷入了一个尴尬的境地,没有一个出版商愿意接触她,出版她的新作品。本句为定语从句修饰先行词situation,且从句中不缺少主语、宾语,故用关系副词where。通常先行词为situation, case, point,scene时,关系副词用where或in which。故选D。【点睛】定语从句 复合句考查的重点之一,对于定语从句,要做到四点:一是准确判断出该句是定语从句;二是找准先行词;三是分析出从句所缺少的成分;四是掌握关系词的基本用法。只有做到这三点才能准确的判断出该使用哪个关系词。本题中考查的是定语从句的关系词,首先判断出这是个定语从句,其次找出先行词是situation,再次现行词在从句中充当缺少地点状语,最后根据关系词的基本用法,可知,此处用where。考生按照这个方法便能准确判断出关系词。。
+
+
+【题干】：Although “all-round educational development” has been advocated in China for years, students are still_ mainly by their test scores. A. evaluated B. determined C. educated D. instructed
+【答案】：A
+【解析】：【详解】考查动词词义辨析。句意:虽然素质教育的发展在中国已经倡导多年,但是现在主要还是按照分数来评价学生。A. evaluated评估,评价;B. determined决定;C. educated教育;D. instructed教导。故选A。。
+
+
+【题干】：The guide told them not to eat the mushroom, _ that there was a risk of food poisoning. A. explained B. explaining C. to explain D. having explained
+【答案】：B
+【解析】：【详解】考查非谓语动词。句意:导游告诉他们不要吃蘑菇,并解释说有食物中毒的危险。本句已经存在谓语动词,且句中没有连词,故explain只能作非谓语动词,与逻辑主语构成主谓关系,用现在分词,作伴随状语。故选B。。
+
+
+【题干】：He’s quite reliable. You can depend on _you out. A. that he will help B. it that helps C. he helping D. him to help
+【答案】：D
+【解析】：【详解】考查固定短语。句意:他很可靠。你可以指望他帮你摆脱困境。短语depend on sb to do sth“指望某人做某事”,故选D。。
+
+
+【题干】：I have absolutely no _ the students who get caught cheating in exams even though they were seriously punished. A. impact on B. sympathy for C. concern about D. complaint about
+【答案】：B
+【解析】：【详解】考查短语辨析。句意:我绝对不同情那些考试作弊被抓的学生,即使他们受到了严厉的惩罚。A. impact on影响;B. sympathy for同情;C. concern about担心;关心;D. complaint about投诉;对……抱怨。根据句意可知选B。。
+
+
+【题干】：The city was _ attack during the night. A. in B. under C. on D. against
+【答案】：B
+【解析】：【详解】考查固定搭配。句意:这座城市在夜间受到攻击。be under attack“遭到袭击”,为固定短语,故选B。。
+
+
+【题干】：We all think the book is well worth _. A. reading B. read C. to be read D. to read
+【答案】：A
+【解析】：【详解】考查固定结构。句意:我们都认为这本书很值得一读。be worth + doing为固定结构,意为“值得…”,故选A。。
+
+
+【题干】：She looks very happy. She_ the exam. A. can have passed B. should have passed C. must have passed D. could have passed
+【答案】：C
+【解析】：【详解】考查情态动词。句意;她看起来很高兴。她一定通过了考试。must /could+ have done表示对过去发生的事情的推测,意为“一定/可能(已经)… ”,本句中根据语境She looks very happy可判断,用 must have passed语气较强,意为“一定是已经通过了(考试)”,故排除D项,选C。【点睛】本题考查情态动词完成式表推测。我们知道,表示推测的情态动词常用的有must / may / might / could/should/ ought to等,其中,must语气最强,只用于肯定句中,can/could常用于否定句和疑问句,may/might常用于陈述句。其后加“have +过去分词”形式时,常常表示对过去情况的推测。例如: (1)It must / may / might / could have rained last night. The ground is wet.地湿了,昨晚肯定/可能/也许下雨了。 (2)The door was locked. He can ( could ) not / may ( might ) not have been at home .门锁着,他不可能/可能不在家。 (3)Can / Could he have gotten the book?难道他找到书了吗? 注:情态动词 should /ought to表推测时,意为“想必会,理应……”但与“have +过去分词”连用时,则又可构成虚拟语气意为“本应该做某事却没做”。。
+
+
+【题干】：The father as well as his three kids _ skating on the cold river every Sunday afternoon in winter. A. goes B. go C. is going D. are going
+【答案】：A
+【解析】：【详解】考查主谓一致。句意:冬天每个周日下午,爸爸和三个儿子都会在结了冰的河面上滑冰。分析句式可知,as well as 连接两个并列主语时,谓语根据前面的主语来判断,即the father是句子的主语,谓语动词用单数,再根据every Sunday afternoon,时态确定用一般现在时。故选A。。
+
+
+【题干】：Is this the reason_ at the meeting for his carelessness in his work? A. he explained B. how he explained C. what he explained D. why he explained
+【答案】：A
+【解析】：【详解】考查关系代词。句意:这就是他在会上解释他工作粗心的原因吗?分析句子可知,本句为定语从句,先行词为the reason,在后面的定语从句中作explain的宾语,所以关系代词that/which 被省略。故A选项正确。【点睛】定语从句中关系词的选择可考虑以下三点: (1) 一看先行词的意义,即分清先行词是指人、指物、时间、地点还是原因(如指物时不能用who或whom,指人时通常不用which等。 (2) 二看关系词的句法功能,即分清关系词是担任什么句子成分,是作主语还是宾语、是作定语还是状语等(如作定语通常用whose,有时也用which;作状语要用when, where, why。 (3) 三看定语从句的种类,即分清是限制性定语从句还是非限制性定语从句(如that和why通常不引导非限制性定语从句 分析句子可知,本句为定语从句,先行词为the reason,在后面的定语从句中作explain的宾语,所以关系代词that/which 被省略。故A选项正确。。
+
+
+【题干】：Please read the _ on the bottle and take the right amount of medicine. A. explanations B. instructions C. descriptions D. introductions
+【答案】：B
+【解析】：【详解】考查名词辨析。句意:请阅读瓶子上的说明,并服用适量的药物。A. explanations解释;B. instructions说明;C. descriptions描述;D. introductions介绍。由“take the right amount of medicine.”可知,应该按照瓶子上的说明服用适量的药物。所以 instructions“说明”符合句意。故B选项正确。。
+
+
+【题干】：The old man could buy nothing _ . A. with his money to steal B. with his money having stolen C. with his money stealing D. with his money stolen
+【答案】：D
+【解析】：【详解】考查with的复合结构。句意:老人的钱被偷了,所以他什么也没买。分析句子可知。本句为with的复合机结构,his money 与steal在逻辑上是被动关系,所以用过去分词作宾语补足语。故D选项正确。【点睛】with/without复合结构总结: 1. with或without-名词/代词+形容词。 2. with或without-名词/代词+副词。 3. with或without-名词/代词+介词短语。 4. with或without-名词/代词 +动词不定式。 5. with或without-名词/代词 +分词。 分析句子可知。本句为with的复合结构,his money 与steal在逻辑上是被动关系,所以用过去分词作宾语补足语。故D选项正确。。
+
+
+【题干】：We could see nothing in the thick fog at a _ of two meters, so we got lost. A. distance B. length C. way D. space
+【答案】：A
+【解析】：【详解】考查名词辨析。句意:大雾天里,我们相距两米就什么也看不到了,所以我们迷路了。A. distance距离;B. length长度;C. way方式;D. space空间。由“We could see nothing in the thick fog”可知,at a distance of “隔着......距离”符合句意。故A选项正确。。
+
+
+【题干】：-It’s a long time _ I saw you last. -Yes, and what a pity! It will be a long time _ we see each other again. A. when;when B. since;before C. before; since D. since;when
+【答案】：B
+【解析】：【详解】考查从属连词。句意:—自从上次看见你到现在有很长时间了!—是的,如此长时间以后我们才能再一次见面真是一件遗憾的事情。since引导的时间状语从句,主句为it is/has been +一段时间,从句为一般过去时。It will be +时间段+before表示“在......之后......才”。故B选项正确。【点睛】It will be +时间段+before表示“在......之后......才”相关句型总结。 一、用于句型“It + will be + 时间段 + before...”句型中,表示“要过多久才…”,也可用于“It + may be + 时间段 + before...”,表示“也许要过多久才……”。before 后的句子中用一般现在时态。 其否定形式“It will/would not be +时间段+ before…”表示“不久就……,过不了多久就……”。 二、用于句型 “it was +时间段+ before …” 表示 “过了(多长时间)才……”。其否定形式“ it was not +时间段+ before …” 意为“不久就……”, “没过(多长时间)就……”。“It be +时间段 + since引导的时间状语从句”表示“自从……已经有多长时间了”。主句用一般现在时或现在完成时。 和其它相似句型的区别 有时候before引导的时间状语从句与since,when引导的时间状语从句在下列结构中较相似,容易混淆。 “It be +时间段 + since引导的时间状语从句”表示“自从……已经有多长时间了”。主句用一般现在时或现在完成时。 “It be +时间点 +when引导的时间状语从句”表示“某个动作发生时,是某个时间”。主句谓语动词可以是一般过去时,也可以是一般将来时。 分析句子可知,since引导的时间状语从句,主句为it is/has been +一段时间,从句为一般过去时。it will be +时间段+before表示“在......之后......才”。故B选项正确。。
+
+
+【题干】：Mr. Hilton’s new house is almost _ the one he used to live in. A. twice the size of B. as twice big as C. bigger twice than D. the twice size of
+【答案】：A
+【解析】：【详解】考查倍数表达法。句意:Mr. Hilton的新房子几乎是他以前住的房子的两倍大。倍数表达法其中的一个形式为:A + be + 倍数 + the + 计量名词 + of + B 。故A选项正确。【点睛】倍数表达法总结如下: ① 用"主语+谓语+...times + the size(或amount, length...)+ of +被比较的内容"表示。 ② 用"主语+谓语+...times + 形容词(副词)的比较级 + than +被比较的内容"表示。 ③ 用"主语+谓语+...times + 形容词+ (n.) + as + 被比较的内容"表示。 ④ 用"主语+谓语+...times + what引导的从句"表示。 分析句子可知,倍数表达法其中的一个形式为:A + be + 倍数 + the + 计量名词 + of + B 。故A选项正确。
+
+
+【题干】：I’d appreciate _ if you could come and help me once more and I always appreciate _ me with my English in the past. A. this; you to help B. it; your helping C. it; you to help D. that; you helping
+【答案】：B
+【解析】：【详解】考查it做形式宾语和动名词。句意:如果你能再来帮我一次,我将不胜感激。我一直很感激你过去在英语方面对我的帮助。like, love, appreciate, hate, see to, depend on等词语接从句时,要用 it 作形式宾语。appreciate one’s doing sth“感激某人做某事”为固定短语。故B选项正确。。
+
+
+【题干】：_ it is to have a cool drink after an _ game. A. How fun; exhausting B. What fun; exhausted C. What fun; exhausting D. How fun; exhausted
+【答案】：C
+【解析】：【详解】考查感叹句和形容词。句意:在一场筋疲力尽的比赛后喝一杯清凉的饮料是多么开心啊。感叹句的形式之一为: what +形容词+不可数名词+主语+谓语。本句中的fun为不可数名词。以后缀 -ing 结尾的形容词主要用于说明事物,表示事物的性质或特征,若用它们说明人,则表示此人具有此性质或特征,所以exhausting修饰game。故C选项正确。【点睛】一、由 what 引导的感叹句,其句子结构可分为以下三种: 1. 可用句型:What + a/an +形容词+可数名词单数+主语+谓语! 2. 可用句型:What +形容词+可数名词复数+主语+谓语! 3. 可用句型: What +形容词+不可数名词+主语+谓语! 二、由 how 引导的感叹句,其句子结构也分为三种: 1.可用句型: How +形容词 / 副词+主语+谓语! 2. 可用句型:How +形容词+ a/an +可数名词单数+主语+谓语! 3. 可用句型:How +主语+谓语! 二、正确的观点关于-ing形容词与-ed形容词的区别,比较准确的表述应该是: 1. 以后缀 –ed结尾的形容词(如ashamed, delighted, excited, frightened, interested, moved, pleased, surprised, worried等)通常用于说明人,不用于说明事物,即使它们所修饰的名词是事物,那它们指的也是与该事物相关的人。 2. 以后缀 -ing 结尾的形容词(如delighting, exciting, frightening, interesting, moving, surprising, worrying 等)主要用于说明事物,表示事物的性质或特征,若用它们说明人,则表示此人具有此性质或特征 分析句子可知,感叹句的形式之一为: What +形容词+不可数名词+主语+谓语。本句中的fun为不可数名词。以后缀 -ing 结尾的形容词主要用于说明事物,表示事物的性质或特征,若用它们说明人,则表示此人具有此性质或特征,所以exhausting修饰game。故C选项正确。。
+
+
+【题干】：A series of accidents caused by school buses will _the pressure on the government. A. come to B. turn to C. add to D. get to
+【答案】：C
+【解析】：【详解】考查动词短语辨析。句意:由校车引起的一系列事故将增加政府的压力。A. come to苏醒;B. turn to转向;C. add to增加;D. get to到达。add to“增加”符合句意。故C选项正确。。
+
+
+【题干】：Tom never works hard at his lessons, so it’s not _ to see a _ look on his face after the exam. A. surprised; disappointing B. surprised; disappointed C. surprising; disappointed D. surprising; disappointing
+【答案】：C
+【解析】：【详解】考查ed结尾的形容词和ing结尾的形容词。句意:汤姆从不用功,所以考试后看到他脸上失望的表情也就不足为奇了。分析句子可知,本句为it做形式主语,真正的主语为动词不定式,所以第一空应填surprising。以后缀 –ed结尾的形容词通常用于说明人,不用于说明事物,即使它们所修饰的名词是事物,那它们指的也是与该事物相关的人。“disappointed look on his face”指的是人因为失望而发出的表情。故C选项正确。。
+
+
+【题干】：Mr. Zhou is strict_his students in class but very kind_them after class. A. in; with B. with ;to C. with ;of D. in ;to
+【答案】：B
+【解析】：【详解】考查介词辨析。句意:周老师上课时对学生要求很严格,但课后他对他们很好。be strict with sb“对某人严格”为固定短语。be kind to sb “对某人好”为固定短语。故B选项正确。。
+
+
+【题干】：_ you try, _ you’ll do in the exam. A. Harder, better B. Better; harder C. The better; the harder D. The harder; the better
+【答案】：D
+【解析】：【详解】考查固定句式。句意:学习越努力,成绩就越好。“The+比较级,the+比较级”是个固定句式,表示“越……就越……”。故D项正确。。
+
+
+【题干】：Most Chinese parents are willing to believe _their children study at their subjects, _marks they will get in the test. A. the harder; better B. harder; the better C. harder; better D. the harder; the better
+【答案】：D
+【解析】：【详解】考查固定句式。句意:大多数中国父母愿意相信他们的孩子越用功学习,就越能在考试中获得更好的分数。此处采用“the+比较级……,the+比较级……”的结构,表示“越……就越……”,故选D。。
+
+
+【题干】：After a long journey, these travelers returned to the hotel, _. A. tired and sleepy B. tiredly and sleepy C. tired and sleepily D. tiredly and sleepily
+【答案】：A
+【解析】：【详解】考查形容词。句意:长途旅行之后,这些游客们回到宾馆,又累又困。由句式结构看,空格处应作状语;四个选项中均使用了并列连词and,故and前后的词性应该一致,又因为英语中形容词或形容词短语可作状语使用, 表示主语的状态,故应选A项。【点睛】形容词作状语。 1. 形容词作状语时的位置比较特殊。一般来说,要么位于句子的前端,要么位于句子的末端,并常用逗号分开。 Young in year, he is old in experience. 他虽然年轻,却很有经验。(让步状语) Full of enthusiasm, they make great progress each day. 他们充满热情,每天进展神速。(原因状语) She gazed at him, silent for a moment. 她疑视着他,静默了片刻。(方式状语) She hurried up the steps, nervous and pale. 她勿忙走上台阶,神情紧张,脸色苍白。(表伴随动作) More important, education must be in line with the requirements of our growing economy. 更重要的是教育事业必须同经济发展需求相适应。(评注状语) 2. 有时形容词作状语还可以插入在主语后边,如: The girl, amazed at the sight, didn't know what to say. 那姑娘看到这景象后很惊讶,不知道说什么。 3. 形容词作状语也可以直接位于动词后,如: Many poets died young. 许多诗人英年早逝。 He said nothing but sat silent smoking. 他什么话也没说,只是静静坐在那里抽着烟。。
+
+
+【题干】：Not his teachers but the student himself _ to blame for his failure in the exam. A. are being B. are C. is being D. is
+【答案】：D
+【解析】：【详解】考查主谓一致。句意:不是他的老师,而是学生自己应该为他考试的失败负责。固定结构not…but…“不是……而是……”采用就近原则,故应用三人称单数形式is。故选D。。
+
+
+【题干】：After the ash covered the people failing to flee the city, their bodies nearly completely _ and disappeared, leaving empty spaces in the ash. A. broke out B. broke down C. broke up D. broke in
+【答案】：B
+【解析】：【详解】考查动词短语辨析。句意:灰覆盖后未能逃离城市的人,他们的身体几乎完全崩溃和消失,只留下空灰。A. broke out爆发;B. broke down崩溃;出故障;C. broke up结束;打碎;D. broke in闯入。根据句意故选B。。
+
+
+【题干】：When he awoke, he found himself _ in the hospital and _ by an old woman. A. lying…being looked after B. lay…looked after C. lie… looked after D. laid…being looked after
+【答案】：A
+【解析】：【详解】考查非谓语动词。句意:当他醒来时,他发现自己躺在医院里,正得到一个老太太的护理。空格处是宾语补足语,指当他醒来时的状态,故第一空用现在分词lying,第二空中是他被老太太照顾,所以都要用现在分词的被动语态作宾语补足语。故选A。。
+
+
+【题干】：Don’t be frightened by sharks: you are _ to be hit by lightening than be attacked by a shark. A. 30 times as likely as B. 30 times more likely C. more than 30 times as likely D. 30 times more than likely
+【答案】：B
+【解析】：【详解】考查形容词倍数的表达。句意:你被闪电击中的概率是被鲨鱼袭击的30倍,所以不要害怕鲨鱼。由题中“不要害怕鲨鱼”可知,此处应指“被闪电击中的概率是被鲨鱼袭击的30倍”,根据倍数表达法 “A +谓语+倍数+ as +形容词或副词的原级 + as + B”,“A +谓语+倍数+形容词或副词的比较级+ than + B”,故正确答案为B。。
+
+
+【题干】：She glanced at the faces around her, hoping to find the tall man. But he was nowhere _. A. seen B. seeing C. to see D. to be seen
+【答案】：D
+【解析】：【详解】考查非谓语动词。句意:她扫视了一下周围的面孔,希望能找到那个高个子。但却不见他的踪影。nowhere 不定副词后跟不定式做状语,see与逻辑主语he为被动关系,故应使用不定式的被动式to be seen,故选D。。
+
+
+【题干】：Next week we _ to China, and going to Loulan, which is known as China’s Pompeii in the desert. A. will have been flying B. will have been flown C. are flying D. are about to fly
+【答案】：C
+【解析】：【详解】考查固定用法。句意:下周我们将飞往中国,前往被称为中国沙漠中的庞贝古城的楼兰。根据下文and going to可知为一般将来时,选项中只有C选项为现在进行时表将来。故选C。。
+
+
+【题干】：A recent research shows men wanting to catch the eyes of women should dress in red, which makes them more _ to the opposite sex. A. powerful B. constant C. confident D. appealing
+【答案】：D
+【解析】：【详解】考查形容词词义辨析。句意:最近的一项研究表明,想要吸引女性眼球的男性应该穿红色衣服,这让他们对异性更具吸引力。A. powerful强大的;B. constant经常的;C. confident自信的;D. appealing有吸引力的。appeal to对…有吸引力,根据句意,故选D。。
+
+
+【题干】：All rights _, no one is allowed to copy or use this paper for other commercial purposes. A. preserved B. deserved C. reserved D. received
+【答案】：C
+【解析】：【详解】考查动词词义辨析。句意:版权所有,任何人不得复制或用于其他商业用途。该结构为独立主格结构作状语,表原因,all rights与动词reserve之间为被动关系,意为“版权所有”,preserve保护;deserve应受,值得; reserve储备,拥有; receive得到。故选C。。
+
+
+【题干】：— What about the protection of the new computer? — Let’s keep the screen _ dust by putting a cover over it. A. free from B. aside from C. far from D. away from
+【答案】：A
+【解析】：【详解】考查短语搭配。句意:-新电脑的保护怎么样?-让我们盖上一个罩子,使屏幕不沾染灰尘。A. free from免于…,使…摆脱;B. aside from除…以外;C. far from远离,远非; D. away from离开,避开。根据句意可知,选A。。
+
+
+【题干】：—Hey! I just heard that sports meeting would be called off due to the bad weather. —Really? It doesn't look that bad to me. —Nah! I was just _. A. pulling your leg B. all ears C. a wet blanket D. giving you the cold shoulder
+【答案】：A
+【解析】：【详解】考查情景交际。句意:-嘿!我刚听说由于天气不好运动会要取消。-真的吗?在我看来没那么糟。-不!我只是开你的玩笑。pull one's leg开某人的玩笑;all ears洗耳恭听;a wet blanket扫兴的人或物;giving you the cold shoulder对你很冷淡。根据情境故选A。。
+
+
+【题干】：Michael had a serious fall in playing football and his under lip began to _ up. A. wind B. split C. choke D. swell
+【答案】：D
+【解析】：【详解】考查动词辨析。句意:Michael踢足球时摔了一跤,下唇肿了起来。A. wind蜿蜒;B. split撕裂;C. choke窒息;D. swell 肿胀。由“a serious fall ”可知,Michael踢足球时摔了一跤,下唇肿了起来。swell up“肿胀”符合句意。故D选项正确。。
+
+
+【题干】：A major fire broke out at Notre-Dame Cathedral in central Paris, _ the construction dates back to the year 1163. A. where B. of which C. in which D. whose
+【答案】：B
+【解析】：【详解】考查介词+关系代词。句意:巴黎市中心的圣母院发生大火,这建筑可以追溯到1163年。分析句子可知,本句为定语从句,先行词为Paris,在后面的定语从句中作宾语,而定语从句中的主语为the construction of .....,所以先行词作of的宾语。故B选项正确。【点睛】定语从句中关系词的选择可考虑以下三点: (1) 一看先行词的意义,即分清先行词是指人、指物、时间、地点还是原因(如指物时不能用who或whom,指人时通常不用which等。 (2) 二看关系词的句法功能,即分清关系词是担任什么句子成分,是作主语还是宾语、是作定语还是状语等(如作定语通常用whose,有时也用which;作状语要用when, where, why。 (3) 三看定语从句的种类,即分清是限制性定语从句还是非限制性定语从句(如that和why通常不引导非限制性定语从句。 分析句子可知,本句为定语从句,先行词为Paris,在后面的定语从句中作宾语,而定语从句中的主语为the construction of .....,所以先行词作of的宾语。故B选项正确。。
+
+
+【题干】：Luckily, the weather _ sometime after lunch and we headed for the school. A. turned up B. ended up C. cleared up D. came up
+【答案】：C
+【解析】：【详解】考查动词短语辨析。句意:幸运的是,午饭后天气转晴了,我们朝着学校走去。A. turned up出现;B. ended up结束;C. cleared up(天)放晴;D. came up被提及。由“the weather”可知,cleared up“(天)放晴”符合句意。故C选项正确。。
+
+
+【题干】：The May Fourth Movement was launched in 1919 and its spirit _ Chinese youth to make contributions to national rejuvenation ever since. A. is motivating B. has been motivating C. motivated D. was motivating
+【答案】：B
+【解析】：【详解】考查现在完成进行时。句意:五四运动于1919年发起,其精神一直激励着中国青年为民族复兴而努力。由“ever since”可知,本句为现在完成进行时,表示动作从某一时间开始,一直持续到现在,或者可能仍然要继续下去。故B选项正确。。
+
+
+【题干】：To deliver the Brexit, British Prime Minister Theresa May had to make some policies _ the needs of the British people. A. in company with B. in parallel with C. in tune with D. in touch with
+【答案】：C
+【解析】：【详解】考查介词短语辨析。句意:为了实现英国脱欧,英国首相特蕾莎·梅须制定一些符合英国人民需要的政策。A. in company with一起;B. in parallel with与…平行;C. in tune with与......一致;D. in touch with与......联系。由“To deliver the Brexit”,为了实现英国脱欧,英国首相特蕾莎·梅必须制定一些符合英国人民需要的政策。所以in tune with“与......一致”符合句意。故C选项正确。。
+
+
+【题干】：Let the negative feelings go that we might have to tolerate _. A. though B. however C. otherwise D. regardless
+【答案】：C
+【解析】：【详解】考查副词辨析。句意:让我们不得不忍受的负面情绪也消失吧。A. though尽管;B. however然而;C. otherwise亦;D. regardless不管怎样。分析句子可知,negative feelings为先行词,在后面的定语从句中作tolerate的宾语。otherwise“亦”修饰动词go,且符合句意。故C选项正确。。
+
+
+【题干】：The young man is very excellent. Now he is the _ of a big company. A. top dog B. cold fish C. white elephant D. black sheep
+【答案】：A
+【解析】：【详解】考查习惯用语辨析。句意:这个年轻人非常优秀。现在他是一家大公司的总裁。A. top dog头领; 有权势的人;B. cold fish态度冷冰冰的人;C. white elephant华而不实的东西;D. black sheep害群之马。由“excellent”可知, top dog“头领; 有权势的人”符合句意。故A选项正确。。
+
+
+【题干】：This is _ third time that I’ve been to Wenzhou, I want to be there _ fourth time. A. the;/ B. the;the C. the;a D. a;a
+【答案】：C
+【解析】：【详解】考查冠词。句意:这是我第三次去温州,我想再去第四次。the+序数词+time表示"第……次",a+序数词+time表示"又一次",故选C。。
+
+
+【题干】：My mind wasn’t on what he was saying so I’m afraid I _ half of it. A. missed B. was missing C. will miss D. would miss
+【答案】：A
+【解析】：【详解】考查时态。句意:我的心思不在他刚才所说的内容上,所以我担心我刚才错过了一半的内容。A. missed一般过去时;B. was missing过去进行时C. will miss一般将来时;D. would miss过去将来时。根据句意,可知表示过去错过了一半的内容,所以用一般过去时,故选A。。
+
+
+【题干】：—China’s 23rd Beidou Satellite _ into space on June 12, 2016. —As Chinese, we are proud of it. A. has sent B. is sent C. will send D. was sent
+【答案】：D
+【解析】：【详解】考查时态。句意:——在2016年6月12日中国的第23颗北斗卫星被发送到了太空。——作为中国人,我们感到骄傲。根据on June 12, 2016.可知,此处是已经发生的事,故用一般过去时。故选D。。
+
+
+【题干】：—Don’t you see the sign "No Parking!" on the right? —Sorry, I _. But now I know parking here is not right. A. don’t B. didn’t C. hadn’t D. doesn’t
+【答案】：B
+【解析】：【详解】考查时态。句意:——你没有看到右边的"禁止停车"的标志吗?——对不起,我没有看到。但是现在我知道在这儿停车是不对的了。A. don’t一般现在时态;B. didn’t一般过去时态;C. hadn’t过去完成时态;D. doesn’t第三人称单数的一般现在时态。本题表示“你告诉我之前,我没有看到。”表示过去,用一般过去时态。故选B。。
+
+
+【题干】：—The government is _ plenty of money building the countryside. —We are pleased with the government’s efforts. A. costing B. paying C. taking D. spending
+【答案】：D
+【解析】：【详解】考查动词辨析。句意:——政府正在投巨资建设农村。——我们对政府的努力感到很满意。costing花费,主语应该是物;paying付钱,常用于短语pay...for...;taking花费,常用于句型It takes sb. +一段时间+to do sth.花费一段时间去做某事;spend花费,常用于句型spend+钱或时间+in doing sth.。根据空后面...building the countryside可知,这里应选D。。
+
+
+【题干】：A smile _ nothing, but gives much. A. costs B. spends C. cost D. spend
+【答案】：A
+【解析】：【详解】考查动词辨析和主谓一致。句意:微笑无需付出,却给予很多。spend花费,Sb. spend some money/some time on/doing sth.主语是人,跟动词用动名词形式;cost花费,Sth. cost sb. some money,主语是物,人和钱作其宾语。本题中a smile是物,用cost。主语A smile是单数名词,因此谓语动词要使用第三人称单数形式,故选A。。
+
+
+【题干】：There _ a football game in our city next week. A. will have B. will be C. is going to have D. are going to be
+【答案】：B
+【解析】：【详解】考查there be句型和时态。句意:下周,我们市有一场足球赛。本句是there be结构,由next week可知句子描述将来,用一般将来时态。There be结构的一般将来时态结构是:There will be或There be going to be,故选B。。
+
+
+【题干】：Many scientists believe that robots _ able to talk like humans in 50 years. A. were B. are C. will be D. have been
+【答案】：C
+【解析】：【详解】考查时态。句意:许多科学家认为,五十年过后,机器人将能够像人类一样说话。描述"五十年后"将要发生的动作或状态,用一般将来时态。故选C。。
+
+
+【题干】：If you wish your child to have _strong desire to learn, you must first have him understand that he has the ability to gain_sense of achievement through learning. A. a; a B. a; the C. the; a D. the; the
+【答案】：A
+【解析】：【详解】考查冠词。句意:如果你希望你的孩子有强烈的学习欲望,你必须要先让他明白他有能力从学习中获得成就感。have a desire to do sth. 渴望做某事,该用法是固定用法; a sense of sth.一种……的感觉,该用法是固定用法,故选A。。
+
+
+【题干】：Compared to the advantages of the Internet, those of the television alone will not be enough to ensure its _, and the latter will be replaced. A. existence B. survival C. quality D. possibility
+【答案】：B
+【解析】：【详解】考查名词辨析。句意:相较于网络的优势,电视单靠自身的优势将不足以保证它幸存下来,所以其将会被网络取代。A. existence存在;B. survival幸存;C. quality品质;D. possibility可能性,故选B。。
+
+
+【题干】：—I was told that Tom made rapid progress. —Well, after several years’ self-study he acquired _knowledge. A. a large number of B. a great many C. scores of D. a great deal of
+【答案】：D
+【解析】：【详解】考查数量词。句意:——我听说Tom取得了迅速的进步。——嗯,经过几年的自学,他获得了不少知识。knowledge"知识",抽象名词不可数,故用a great deal of 修饰。其余选项用来修饰可数名词复数,故选D。。
+
+
+【题干】：Nancy_ for five years. A. was dying B. has died C. died D. has been dead
+【答案】：D
+【解析】：【详解】考查时态。句意:南希去世五年了。A.was dying过去进行时态;B.has died现在完成时态;C.died一般过去时态;D.has been dead现在完成时态。句子强调的是过去开始的动作或状态一直延续到现在,句子用现在完成时态;die是一个非延续性动词,不能与表示一段时间的状语for…连用,应该用be dead,故选D。。
+
+
+【题干】：When you are home, give me a call to let me know you_ safely. A. arrived B. have arrived C. will arrive D. are arriving
+【答案】：B
+【解析】：【详解】考查时态。句意:当你到家时,给我打个电话,让我知道你已经安全到达。结合句意,应是先到达,然后再打电话告诉到家了,故此处表示已经发生的事,用现在完成时have arrived,故选B。。
+
+
+【题干】：This museum_ here for over 80 years. It_ one of the oldest buildings in this city. A. is; was B. had been; is C. was; has been D. has been; is
+【答案】：D
+【解析】：【详解】考查时态。句意:这座博物馆在这儿已经有八十多年了。它是这座城市最古老的建筑之一。前句表示从过去一直延续到现在的状态,用现在完成时态;后句表示的是现在的状态,用一般现在时态。故选D。。
+
+
+【题干】：You can study the grammar memorizing it. A. with B. by C. on D. at
+【答案】：B
+【解析】：【详解】考查"by+动名词"的用法。句意:你可以通过熟记的方式来学习语法知识。with和,用;by通过;on在……之上;at在(表示存在或出现的地点、场所、位置、空间)。文中表示“通过……”故选B。。
+
+
+【题干】：—There _ a concert this evening. —Yeah. Exciting news! A. are going to be B. is going to be C. is going to have D. will have
+【答案】：B
+【解析】：【详解】考查动词have和句型there be的区别。句意:——今晚将有一个音乐会。——是啊。令人兴奋的消息!C、D都是句型there be 和动词have的混合,都是错误的,排除C和D。而there be句型中的be的单复数取决于后面的名词,题中a concert属于单数,排除A,故选B。。
+
+
+【题干】：It was _ Frenchman, Pierre de Coubertin, who brought _ Olympics back to life. A. a; / B. the; / C. a; the D. the; a
+【答案】：C
+【解析】：【详解】考查冠词。 句意:正是法国人Pierre de Coubertin使奥运会重获新生。第一空泛指“一个法国人”, Frenchman的首字母发音是辅音,应用不定冠词a;the Olympics奥运会,为专有名词,用定冠词,故选C。。
+
+
+【题干】：—Whose umbrella is it? —It’s _. A. somebody else’s B. somebody else C. somebody’s else’s D. Somebody’s else
+【答案】：A
+【解析】：【详解】考查名词的格。句意:——这是谁的雨伞?——这是别人的雨伞。不定代词后接else时,所有格放在else上,故选A。。
+
+
+【题干】：He is a good student, _ worthy of being praised A. that B. it C. the one D. one
+【答案】：D
+【解析】：【详解】考查代词。句意:他是一个好学生,一个值得表扬的学生。代词one=a student,此处表示泛指,作前面a good student的同位语,故选D。。
+
+
+【题干】：There’s _ that makes my blood boil more than when I see someone parking in a parking spot that is reserved for the disabled. A. something B. everything C. anything D. nothing
+【答案】：D
+【解析】：【详解】考查固定搭配。句意:没什么比我看到有人将车停放在专为残疾人预留的停车场地上更生气的事情了。“nothing that makes my blood boil more than...”意为“没有什么比……更让我生气的了”,故选D。。
+
+
+【题干】：Eight years ago when Hillary Clinton competed with Barack Obama for presidency, many Americans had the question whether there was a likelihood of a negotiated_between the two. A. comprehension B. completion C. communication D. compromise
+【答案】：D
+【解析】：【详解】考查名词辨析。句意:八年前,当希拉里·克林顿与贝拉克·奥巴马争夺总统职位的时候,许多美国人对这两人之间是否存在协商妥协的可能性有疑问。comprehension理解;completion完成;communication交流;compromise妥协,根据题意,故选D。。
+
+
+【题干】：—Why do you start so early? —Because it is too far from the airport, and it is_. A. two hour’s drive B. two hours’ drive C. two hour drive D. two hours drive
+【答案】：B
+【解析】：【详解】考查固定表达。句意:——你为什么这么早就出发了?——因为离机场太远了,开车要两个小时。“数词+ hours’/minutes’ + ride/drive/walk”为固定表达,故选B。。
+
+
+【题干】：— You’ve taken the lead in the test again. Can you share your _ for success with us? — Remember, the early bird catches the worm. A. bonus B. recipe C. glory D. fancy
+【答案】：B
+【解析】：【详解】考查名词辨析。句意:——你又在考试中领先了。你能和我们分享一下你成功的秘诀吗?——记住,早起的鸟儿有虫吃。A. bonus奖金;红利;B. recipe食谱;秘诀;C. glory光荣;荣誉;D. fancy幻想;想象力。根据句意故选B。。
+
+
+【题干】：Catherine is color-blind and can’t _ red from green as easily as other children. A. remove B. choose C. distinguish D. preserve
+【答案】：C
+【解析】：【详解】考查动词辨析。句意:凯瑟琳是色盲,不像其他孩子那样容易区分红色和绿色。A. remove移动;迁移;B. choose选择;C. distinguish区别;辨别;D. preserve保存;保护。短语distinguish from“区别;区分”,根据句意故选C。【点睛】distinguish相关短语: distinguish leader 区分的领导者 ; 区分领导者 ; 区分翻译公司 danger distinguish 危害辩识 distinguish myself 杰出 ; 区分自己 Early distinguish 早期鉴别 distinguish middle 分别 distinguish matrix 分辨矩阵 expression distinguish 表情辨认 distinguish in 在出名 fingerprint distinguish 指纹辨识 形容词 distinct 明显的;独特的;清楚的;有区别的 distinguished 著名的;卓著的;高贵的 distinguishing 有区别的 distinguishable 可区别的;辨认得出的;可辨识的 distingue 高尚的;上流的。
+
+
+【题干】：According to some witnesses, the thief was observed _ the bank when they were passing by. A. enter B. to enter C. entering D. to entering
+【答案】：C
+【解析】：【详解】考查现在分词作宾补。句意:据一些目击者说,有人看见小偷在他们经过时进入银行。observe sb. 之后只能接两种形式:observe sb. do,表示看到了某个人做的整个动作,强调“做过了这个动作”;observe sb. doing,表示看到某人正在做某事,强调在某个时间点时正在做某动作。此处是强调正在发生的动作,为第二种情况;故正确答案为C。【点睛】还有如下动词后可跟现在分词作宾语补足语: see, watch, hear, feel, find, get, keep, notice, listen to, look at, leave, catch等.例如: Can you hear her singing the song in the next room?你能听见她在隔壁唱歌吗? He kept the car waiting at the gate.他让小汽车在门口等着。。
+
+
+【题干】：The manager made it a rule that nobody _ use the telephone of the company to deal with personal affairs. A. might B. would C. must D. shall
+【答案】：D
+【解析】：【详解】考查情态动词。句意:经理规定任何人不得使用公司的电话处理私人事务。A. might表可能性“也许”,且可能性最小;B. would“愿意;会”,表示请求、建议;C. must“必须;一定”,表示必然结果;D. shall“会;将”,表允诺、威胁、警告、命令或根据规定有义务做。根据句意可知应是经理在“命令;规定”,故选D。。
+
+
+【题干】：_ himself with his new job, he couldn’t spare time to keep company with his family. A. Occupied B. To occupy C. Occupying D. Being occupied
+【答案】：C
+【解析】：【详解】考查非谓语动词。句意:由于忙于新工作,他抽不出时间来陪家人。短语occupy oneself“忙于,致力于”。这里从句省略主语,用现在分词做状语,与逻辑主语he为主动关系,故选C。。
+
+
+【题干】：You’ll pay_ that remark! A. off B. for C. back D. out
+【答案】：B
+【解析】：【详解】考查短语辨析。句意:你会为那句话付出代价的!A. pay off付清;取得成功;B. pay for 为……付出代价;赔偿;C. pay back偿还;报答;D. pay out付出;报复。根据句意故选B。。
+
+
+【题干】：To be honest, she had a great _ for the small town where she grew up. A. effect B. effort C. affection D. patience
+【答案】：C
+【解析】：【详解】考查名词词义辨析。句意:说实话,她对她长大的那个小镇有很深的感情。A. effect影响;B. effort努力;C. affection深情;D. patience耐心。短语have a great affection for sth. 意为“对某物钟爱,对某物有深挚的感情”。故选C。。
+
+
+【题干】：With his finger _ to the _ window, the teacher asked: “Who did that?” A. pointing; broken B. pointed; broken C. pointing; breaking D. pointed; breaking
+【答案】：A
+【解析】：【详解】考查with的复合结构,。句意:老师用手指着那扇破窗户问:“是谁干的?”。finger 和point to 之间存在逻辑主谓关系,故用现在分词pointing;且window和break之间存在逻辑动宾关系故用broken。综上,故选A。。
+
+
+【题干】：You’d better not phone our manager from three to four this afternoon; he _ for a meeting then. A. will be preparing B. will prepare C. is preparing D. prepares
+【答案】：A
+【解析】：【详解】考查将来进行时。句意:今天下午三点到四点,你最好不要给我们经理打电话,他那个时候正在开会。根据句意可知,from three to four this afternoon指将来的时间段,在将来的某个时间经理正在开会,故用将来进行时,故选A项。【点睛】将来进行时的用法。 将来进行时(The Future Continuous)表示将来某一时刻或某一阶段内将要发生的动作。将来进行时由“shall/will + be动词 + 现在分词”构成。shall用于第一人称,will用于各种人称。 1.表示将来某一时刻或某一阶段内将要发生的动作。一般只用于动态动词,不能用于静态动词: She'll be leaving at about seven.她将在7点钟离开。 I'll be waiting for you at the gate.我将在大门口等你。 Be sure to come. We'll be expecting you.一定要来,我们要等你的。 2.表示将来某一段时间内持续发生的动作 I shall be staying here about a week.我将在这里住一星期左右。 He will be working in Geneva during the summer vacation.暑假期间他将在日内瓦工作。 We'll be using this book next term.我们下学期将用这本书。 3.用于现代英语口语中,表示“纯粹”的将来该时态比一般将来时显得语气委婉: When will you be visiting us again? 你什么时候再来拜访 我们? (比较委婉) When will you visit us again? (一般说法)。
+
+
+【题干】：A recent personal photograph must be _ to your application form before you hand it in. A. referred B. attached C. connected D. tied
+【答案】：B
+【解析】：【详解】考查动词词义辨析。句意:交申请表的时候,必须要粘贴上一张个人近照。A. referred参考;B. attached粘贴,附属;C. connected联系;D. tied系。根据句意可知,把照片粘贴在申请表上,故用短语be attached to(被粘贴在),故选B。。
+
+
+【题干】：Tom should not be sent to carry out the task for three reasons. _, he hasn’t had enough experience. A. For a start B. In other words C. On the other hand D. At first
+【答案】：A
+【解析】：【详解】考查介词短语词义辨析。句意:Tom不应该被派去做这个任务有三个原因。第一,他经验不足。A. For a start首先,起初;B. In other words换句话说;C. On the other hand另一方面;D. At first最初。分析句子可知,陈述第一个原因,故用For a start。而at first表示时间上的起先,故不选,故选A项。。
+
+
+【题干】：Since this accident has nothing to do with him, he seems no way _. A. to be blamed B. to blame C. blamed for D. to blame for
+【答案】：B
+【解析】：【详解】考查固定用法。句意:既然这次事故与他无关,他似乎也就无可指责了。短语sb be to blame“某人该受责备;某人应该负责”为固定搭配,没有被动语态。故选B。。
+
+
+【题干】：I _ to you at that time, but I didn’t know where you lived. A. had written B. wrote C. would write D. would have written
+【答案】：D
+【解析】：【详解】考查虚拟语气。句意:那时我本想给你写信的,但我不知道你住在哪里。根据后文but I didn’t know where you lived可知“我”并没有写信,短语would have done“本应该做但实际没有做”,表示对过去事实的假设。故选D。。
+
+
+【题干】：—Can you see the sign on the door? —Yes, it _ “No Entry”. A. reads B. writes C. speaks D. reports
+【答案】：A
+【解析】：【详解】考查动词辨析。句意:——你能看见门上的标志吗?——是的,上面写着“禁止入内”。A. reads读,写着;B. writes写;C. speaks讲话;D. reports报告。牌子上上写着用read或say,故选A。。
+
+
+【题干】：I can’t drive today. Can you give me a _ back to town? A. sail B. rise C. ride D. return
+【答案】：C
+【解析】：【详解】考查名词。句意:我今天不能开车。你能载我回城里吗?A. sail航行;B. rise上升;C. ride骑,搭乘;D. return返回。结合句意可知答案为C。。
+
+
+【题干】：Roger _painting for a while, but soon lost interest. A. took out B. took in C. took up D. took off
+【答案】：C
+【解析】：【详解】考查动词词组。句意:Roger从事绘画一段时间,但很快就失去了兴趣。A. took out取出;B. took in吸收,接纳,明白;C. took up拿起,从事;D. took off脱掉。结合句意可知答案为C。。
+
+
+【题干】：In those days, our _ concern was to provide people who were stopped by the snow storm with food and health care. A. careful B. private C. permanent D. primary
+【答案】：D
+【解析】：【详解】考查形容词。句意:在那些日子里,我们主要关心的是为被暴风雪阻挡的人们提供食物和医疗。A. careful细心的;B. private私下的;C. permanent永久的;D. primary主要的。结合句意可知答案为D。。
+
+
+【题干】：— I’m still working on my project. — Oh, you’ll miss the deadline. Time is _. A. running out B. coming out C. using out D. going out
+【答案】：A
+【解析】：【详解】考查动词短语辨析。句意:——我还在做我的项目。——哦,你会错过最后期限的。时间快用完了。A. running out用完;B. coming out出现,出版;C. using out耗尽;D. going out外出。结合句意可知答案为A。。
+
+
+【题干】：When the teacher came in, the student _ that he was reading a book.. A. pretended B. progressed C. praised D. declined
+【答案】：A
+【解析】：【详解】考查动词。句意:老师进来时,这个学生假装在读书。A. pretended假装;B. progressed前进,进步;C. praised称赞;D. declined下降,拒绝。结合句意可知答案为A。。
+
+
+【题干】：They have _money for the Hope Project for the last two years. A. rose B. raised C. aroused D. arisen
+【答案】：B
+【解析】：【详解】考查动词。句意:在过去的两年中,他们为希望工程筹集了资金。A. rose上升;B. raised募捐,提高,举起;C. aroused唤醒;D. arisen出现,起身。故选B。。
+
+
+【题干】：It _me that I had forgotten his birthday. A. occurred B. beat C. hit D. knocked
+【答案】：C
+【解析】：【详解】考查固定句式。句意:我突然想起我忘了他的生日。固定句式:It hit sb. that 主语+谓语+其他./It occurred to sb. that主语+谓语+其他,意为“某人突然想起……”。故选C。。
+
+
+【题干】：—Did you meet Mr. Smith? —Yes. When I arrived, he _ for New York to attend a press conference. A. was just leaving B. just left C. just leaves D. had just left
+【答案】：A
+【解析】：【详解】考查动词时态语态。句意:——你见到史密斯先生了吗?——是的。当我到的时候,他正要去纽约参加一个记者招待会。根据arrived可知,其主句也应该用过去的某种时态,C项不正确;B项表示过去发生的动作,D项表示过去的过去,这两项均不合句意要求,故被排除;设空处表示过去将来的事情,故答案为A项。。
+
+
+【题干】：Tourists are required to _ local customs and mind their manners when travelling abroad. A. spot B. confirm C. observe D. spread
+【答案】：C
+【解析】：【详解】考查动词辨析。句意:游客被要求在国外旅行的时候遵守当地的习俗,并且注意自己的行为举止。A. spot认出;B. confirm确认;确定;C. observe观察;遵守;D. spread传播;散步。根据句意故选C。。
+
+
+【题干】：I helped them to see themselves _, and they built themselves into winners. A. honestly B. individually C. calmly D. differently
+【答案】：D
+【解析】：【详解】考查副词辨析。句意:我帮助他们以不同的方式看待自己,他们最终成了获胜者。A. honestly诚实地;B. individually个别地;C. calmly镇静地;D. differently不同地。根据后句and they built themselves into winners.可推知,我帮助他们以不同的方式看待自己,他们最终成了获胜者。故选D。【点睛】副词词意辨析题,需要准确把握词汇的意思,结合语境分析,选择最佳选项。。
+
+
+【题干】：Two team members _, we took over their work and stayed up late to complete the program. A. sent away B. being sent away C. to be sent away D. having been sent away
+【答案】：D
+【解析】：【详解】考查独立主格结构。句意:两名队员被派遣出去后,我们接管了他们的工作,并熬夜完成了这个项目。分析句子结构可知,Two team members _为独立主格结构,在句中作状语。Two team members与send away之间是逻辑上的动宾关系,谓语应用被动形式;再结合句意可知,send away这一动作发生在谓语took和stayed up late所表示的动作之前,故此处应用现在分词的完成式,故选D。。
+
+
+【题干】：However, there are a lot of children nowadays being forced to learn, they even have no idea _ they should learn. A. when B. why C. that D. where
+【答案】：B
+【解析】：【详解】考查同位语从句。句意:然而,现在有许多被动学习的孩子,他们甚至不知道自己为什么应该学习。分析句子结构及句意可知,此处应用why"为什么"引导同位语从句,解释说明idea的内容,故选B。。
+
+
+【题干】：“It might have saved me a lot of money”, Mr. Chen sighed, “_ timely from the stock market this July”. A. did I withdraw B. should I withdraw C. have I withdrawn D. had I withdrawn
+【答案】：D
+【解析】：【详解】考查虚拟语气。句意:陈先生叹气道:“如果在7月我能及时从股市中出来的话,我可能就不会损失很多钱了。”分析句子可知,本句为虚拟语气的条件状语从句,根据It might have saved me a lot of money可知,是对过去的虚拟,故从句用过去完成时,省略if,则把助动词had放在句首,故选D。【点睛】虚拟语气。 虚拟语是一种表示假设状态的句型,是一种特殊的动词形式;表示所说的话不是一个事实,而只是说话者的一种假设,或不大可能实现的空想。根据虚拟语气的特点我将其分成了四大块,请往下看。 虚拟语气用在条件状语从句中,根据时态的不同,主从句的谓语动词可分为以下3种情况 1.与现在事实相反的虚拟语气——过去时,例: If he studied harder,he might pass the exam(如果他努力学习,他可能通过考试了) 使用要点: 不论主语为第几人称,if从句中的be动词均用were;主句中的助动词一定为过去时,且后面接动词原形,例1:If I were you,I would beat him. 例2:If he were here,I would beat him. 2. 与过去事实相反的虚拟语气——过去完成时,使用此句型时从句中会出现had had的情况,同学们要注意区分had与had had区别, 例1:If he had money,he would buy a car.(如果他有钱,他会买辆车)此句中had为一般过去时动词,翻译为“有” 例2:If he had had money,he would have bought a car.(如果他那时有钱,他就会买辆车) 此句中第一个had为过去完成时助动词,第二个had为have(有)的过去分词。 3. 与将来事实相反的虚拟语气——主句用过去时,例:If it should rain,the game would be put off.(如果下雨,比赛会推迟) 使用要点:if从句一定要加助动词should,if……should翻译为“万一”;。
+
+
+【题干】：Locals lived in rather _ conditions until the founding of the People’s Republic of China in 1949. A. precious B. primitive C. precise D. prior
+【答案】：B
+【解析】：【详解】考查形容词词义辨析。句意:当地人的生活很落后直到1949年中华人民共和国的成立。A. precious宝贵的;B. primitive落后的;C. precise精确的;D. prior优先的。根据后文until the founding of the People’s Republic of China in 1949.可知,直到1949年中华人民共和国的成立,之前当地人生活很落后,故选B。。
+
+
+【题干】：-I can’t find Mr. Smith. Where did you meet him this morning? -It was in his office _ he worked. A. where B. which C. that D. the one
+【答案】：A
+【解析】：【详解】考查定语从句。句意:——我无法找到史密斯先生,今天早上你在哪里见过他?——在他工作的办公室里。分析句子结构可知,此处为定语从句,先行词为his office,从句中缺少地点状语,故A项正确。【点睛】本题很多同学会认为是强调句型为误选that,但去掉It was和空处后,句子结构和逻辑不对,因此本句不是强调句型,而是定语从句,先行词为his office,从句中缺少地点状语,所以应该用关系副词where。。
+
+
+【题干】：There was a(n) _ moment when she didn’t know whether to shake his hand or kiss his cheek. A. relaxed B. awesome C. awkward D. comfortable
+【答案】：C
+【解析】：【详解】考查形容词词义辨析。A. relaxed放松的;B. awesome可怕的;C. awkward尴尬的;D. comfortable舒适的。句意:她不知道该和他握手还是面颊吻时很尴尬。根据句意可知此处表示“尴尬的”,故C项正确。。
+
+
+【题干】：Not until all the fish died in the river, _ how serious the pollution was. A. did the villagers realize B. the villagers realized C. the villagers did realize D. didn’t the villagers realize
+【答案】：A
+【解析】：【详解】考查倒装。句意:直到河里的鱼都死了,村民才意识到污染有多么严重。not until位于句首时,采用部分倒装,即:助动词+(主句)主语+谓语,故A项正确。【点睛】注意当not until位于句首时,要采用部分倒装,即:not until+从句/表时间的词+助动词+(主句)主语+谓语,如,①Not until the teacher came in,did the students stop talking.直到老师来了学生们才停止说话。②Not until next week will the sports meeting be hold.直到下周才开运动会。。
+
+
+【题干】：It is proposed that a study plan _ as soon as possible. A. is made B. is to be made C. be made D. had been made
+【答案】：C
+【解析】：【详解】考查虚拟语气。句意:有人建议尽快制定研究计划。当propose表示“建议”时,其后的宾语从句要用 (should) do的虚拟语气,其中should可以省略,且主语plan与谓语动词make是被动关系,用被动语态,故C项正确。。
+
+
+【题干】：The restaurant _ us 1000 yuan for the wine which is worth one tenth in a grocery store. A. accused B. paid C. charged D. asked
+【答案】：C
+【解析】：【详解】考查动词词义辨析。A. accused控告;B. paid支付;C. charged收费;D. asked要求。句意:一瓶在商店卖100元的酒这家餐馆竟收了我们1000元。。
+
+
+【题干】：-What if the rainstorm continues? -Come on guys! We have to meet the _ whatever the weather. A. standard B. demand C. deadline D. satisfaction
+【答案】：C
+【解析】：【详解】考查名词辨析。句意:——如果暴雨继续,怎么办?——来吧,伙计们!不管天气如何,我们都必须如期完成。A. standard标准;B. demand要求;C. deadline 最后期限;D. satisfaction满意。由whatever the weather“不管天气如何”可知,meet the deadline“赶上最后期限,按期完成”符合语境。故C选项正确。。
+
+
+【题干】：-You’ve been coughing so badly recently. Give up smoking, please. -_. I think I am addicted to it. A. It can’t be helped B. Good idea C. So far, so good D. Far from it
+【答案】：A
+【解析】：【详解】考查习惯用语辨析。句意:——最近你一直咳嗽得很厉害。戒烟吧。——那无济于事,我想我已经上瘾了。A. It can’t be helped这是无法避免的;B. Good idea好主意;C. So far, so good到现在为止,一直都还不错;D. Far from it远非如此。由“I think I am addicted to it”(我想我已经上瘾了),所以It can’t be helped“这是无法避免的”符合语境。故A选项正确。。
+
+
+【题干】：I feel I am as well-behaved and as careful as my deskmate, but _ I always fall behind? A. how about B. how come C. what if D. what for
+【答案】：B
+【解析】：【详解】考查固定用法。句意:我觉得我和我的同桌一样做的好,一样细心,但为什么我总是落后呢?。A. how about怎么样;B. how come为什么......;C. what if假若……怎么办;D. what for为什么。how come+主语+动词...=why/what...for引导的特殊疑问句。分析句子可知,本句为陈述性的语序表疑问。故B选项正确。【点睛】how come是固定搭配,意为:“怎么会……?怎么回事……?怎么搞的……?”它和why一样,可以用来引导一个问句。所不同的是,如果用How come来提问,就表示你觉得某件事很奇怪,有点想不通;并且,以How come开头的问句使用的仍是陈述句的语序。how come+主语+动词...=why/what......for引导的特殊疑问句?分析句子可知,本句为陈述性的语序表疑问。故B选项正确。。
+
+
+【题干】：-What about inviting Tracy to host the party? -Good idea! She is very quick in mind. Oh, _, here she comes. A. don’t pull my leg B. a little bird told me C. speak of the devil D. it’s a piece of cake
+【答案】：C
+【解析】：【详解】考查习惯表达辨析。句意:——邀请Tracy来主持派对怎么样?——好主意!她头脑敏捷。说曹操,曹操到。A. don’t pull my leg别跟我开玩笑;B. a little bird told me有人私下告诉我;C. speak of the devil说曹操,曹操就到;D. it’s a piece of cake小菜一碟。由“here she comes”可知,speak of the devil“说曹操,曹操就到”符合语境。故C选项正确。。
+
+
+【题干】：While his approach was a complete _ from established practices, the result was satisfactory. A. separation B. prohibition C. departure D. judgment
+【答案】：C
+【解析】：【详解】考查名词辨析。句意:虽然他的做法完全背离了既定的做法,但结果令人满意。A. separation分开;B. prohibition禁止;C. departure违背;D. judgment判断,根据题意,故选C。。
+
+
+【题干】：—I’m burnt out as I’ve been working on my essay all the time. — _. You’ll surely make it. A. Don’t put on airs B. Give me a break C. Don’t get on my nerve D. Hang in there
+【答案】：D
+【解析】：【详解】考查情景对话。句意:——我一直在写论文,累坏了。——坚持下去。你一定会成功的。A. Don’t put on airs不要摆架子;B. Give me a break让我休息一下;C. Don’t get on my nerve别惹我生气;D. Hang in there坚持下去。根据You’ll surely make it.可知这里意思是坚持下去,故选D。。
+
+
+【题干】：Decades ago, scientists believed that how the brain develops when you are a kid _ determines your brain structure for the rest of your life. A. sooner or later B. more or less C. to and from D. up and down
+【答案】：B
+【解析】：【详解】考查情景交际及习惯表达。句意:几十年前,科学家们认为,当你还是个孩子的时候,大脑的发育或多或少决定了你今后生活中大脑的结构。A. sooner or later迟早;B. more or less或多或少;C. to and from来来回回;D. up and down上上下下,根据题意,故选B。。
+
+
+【题干】：After she became ill, I felt _ with her—she was cheery while I felt gloomy. A. out of tune B. out of breath C. out of curiosity D. out of mind
+【答案】：A
+【解析】：【详解】考查介词短语辨析。句意:她病后,我觉得与她格格不入——她高兴而我沮丧。A. out of tune格格不入;B. out of breath上气不接下气;C. out of curiosity出于好奇心; D. out of mind心不在焉。根据“he was cheery while I felt gloomy.”可知,这里意思是我觉得与她格格不入,故选A项。。
+
+
+【题干】：I'd advise anyone to put aside a proportion of their earnings — _. A. nothing great is easy B. nothing comes from nothing C. a bad penny always turns up D. a penny saved is a penny earned
+【答案】：D
+【解析】：【详解】考查情景交际及习惯表达。句意:我建议每个人都把收入的一部分存起来——省一分钱就是赚一分钱。A. nothing great is easy天下无难事;B. nothing comes from nothing无风不起浪; C. a bad penny always turns up总会有不如意的时候;D. a penny saved is a penny earned省一分钱就是赚一分钱。根据I'd advise anyone to put aside a proportion of their earnings可知这里意思是省一分钱就是赚一分钱,故选D。。
+
+
+【题干】：ahead A. cheap B. break C. season D. breath
+【答案】：D
+【解析】：【详解】五个单词的音标为:ahead [ə'hed];A. cheap [tʃiːp];B. break [breɪk];C. season ['siːz(ə)n];D. breath [breθ],ahead和D. breath的ea发音都是[e],故D项正确。。
+
+
+【题干】：This is one of the problems _ at the meeting at present. A. discussed B. discussing C. to be discussed D. being discussed
+【答案】：D
+【解析】：【详解】考查非谓语动词。句意:这是目前会议正在讨论的问题之一。由时间状语at present可知是正在进行,problems和discuss之间是被动关系,故用现在分词的被动式being discussed作后置定语。故选D。。
+
+
+【题干】：The picture _ on the wall is painted by my nephew. A. having hung B. hanging C. hangs D. being hung
+【答案】：B
+【解析】：【详解】考查非谓语动词。句意:挂在墙上的那幅画是我的侄子画的。picture与hang之间是主动关系,故用现在分词作后置定语。故选B。。
+
+
+【题干】：The city of Harbin is developing fast and the subway is currently . A. under building B. under attack C. under discussion D. under construction
+【答案】：D
+【解析】：【详解】考查介词短语辨析。句意:哈尔滨市发展迅速,地铁正在建设中。A. under building在……建筑物之下;B. under attack受到攻击;C. under discussion正在讨论中;D. under construction在建造中;正在施工中。结合句意可知应选D。【点睛】under短语归纳 under control 被控制住; under the control of 受……控制; under pressure 在压力下 under repair 在修理中 under consideration 在考虑中 under the circumstances 在这种情况下, 因为这种情况 under no circumstances 决不。
+
+
+【题干】：Ladies and Gentlemen, Italian wines are _ special offer this week. A. for B. on C. in D. at
+【答案】：B
+【解析】：【详解】考查介词搭配。句意:女士们先生们,意大利葡萄酒本周特价。短语on special offer“以特价出售;折价出售”为固定搭配,故选介词on,选B。。
+
+
+【题干】：The little girl was determined to become a doctor and her persistence eventually . A. paid back B. paid for C. paid in D. paid off
+【答案】：D
+【解析】：【详解】考查动词短语辨析。句意:小女孩决心成为一名医生,她的坚持最终得到了回报。A. paid back还击;B. paid for为……付出代价;C. paid in 已缴;实缴;D. paid off得到了回报;见成效。根据句意可知选D。。
+
+
+【题干】：Sometimes, people don't like asking questions appearing stupid and ignorant. A. in search of B. in memory of C. for fear of D. in terms of
+【答案】：C
+【解析】：【详解】考查介词短语辨析。句意:有时,人们不喜欢问问题,因为害怕被认为愚蠢和无知。A. in search of寻找;搜寻;B. in memory of为纪念;C. for fear of为了避免;唯恐;D. in terms of依据;按照。根据句意可知应选C。【点睛】"in + 名词 + of” 短语在中学教材中有很多, 现归纳如下: 1. in advance of在……之先, 胜过 Galileo’s theory were in advance of the age in which he lived. 伽利略的思想超越了他所生活的时代。 2. in behalf of 代表, 为了……的利益 I did all I could in behalf of my friend. 为朋友的利益, 我做了所能做的一切。 3. in case of 如果……发生, 如遇到…… In case of danger, you must be calm. 如果遇到危险, 你必须镇定。 注意: in the case of 就……来说, 至少 4. in charge of 看护, 管理 He is in charge of the school. 他负责管理这所学校。 注意: in the charge of由……管理 5. in course of 正在……之中 The bridge is in course of construction. 大桥正在建设中。 注意: in the course of 在……期间, 在……的过程中 6. in consequence of ……的结果, 由于 In consequence of heating, the length of the iron bar increased. 由于受热, 铁棒的长度增加了。 7. in defence of 保卫, 为……辨护 The soldiers fought bravely in defence of their country. 士兵们为保卫他们的国家英勇作战。 8. in favour of 赞成, 有利于 Everyone in the class voted in favour of the musical party. 班里每个人都投票赞成开个音乐会。 9. in fear of 担心, 害怕 The family that lived here fled in fear of the enemy. 住在这里的一家人因害怕敌人而逃走了。 10. in front of 在……前面(范围以外) In front of the farmhouse sat a small boy. 一个小男孩坐在农舍前面。 注意: in the front of 在……前部(范围内) 11. in honour of 为了纪念……, 对……表示敬意 The monument was erected in honour of the soldiers who died for the country. 为纪念为国牺牲的战士建立了此纪念碑。 12. in memory of 为纪念…… The stone pavilion is in memory of a famous poet. 这石亭是纪念一位著名诗人的。 13. in place of 代替 We can use plastic in place of wood or metal in industry. 我们在工业中能用塑料代替木材或金属。 14. in point of 就……而论 He is senior to me in point of experience. 以经验论他比我年长。 15. in possession of 占有, 拥有 The old man is in possession of great wealth. 这位老人拥有大笔财富。 注意: in the possession of (某物)为(某人)所有 16. in need of 需要 Our school is in need of some teachers. 我们学校需要一些老师。 17. in search of 寻找, 寻求 I am looking everywhere in search of my key. 我正到处寻找我的钥匙。 18. in sight of 能看得见, 在看得见……的地方 How glad we were when we came in sight of the land. 当我们看到陆地时, 我们多么高兴啊。 19. in spite of 尽管 In spite of the heavy rain, he went out without delay. 尽管下大雨, 他还是立刻出发了。 20. in view of 鉴于;由于 We must make up our minds at once in view of the urgency of the case. 鉴于情况紧急, 我们必须立刻下定决心。 21. in support of 支持, 支援 The president spoke in support of a ban on arms supplies. 总统讲话支持武器禁运。 22. in praise of 赞扬 The leader spoke in praise of those who had died for the country. 领导人表彰为国捐躯的人民。。
+
+
+【题干】：Some models are all skins and bones. In my opinion, they are beautiful. A. all but B. none but. C. anything but D. nothing but
+【答案】：C
+【解析】：【详解】考查固定短语辨析。句意:有些模特全是皮包骨。在我看来,他们根本不漂亮。A. all but几乎;差一点;B. none but只有;仅;C. anything but根本不;决不;D. nothing but只不过;只有。根据句意可知选C。。
+
+
+【题干】：_ to pick me up at 10 o'clock and drive me to the station? A. Are you convenient B. Do you convenient C. Is it convenient for you D. Is it convenient of you
+【答案】：C
+【解析】：【详解】考查固定句型。句意:你十点钟来接我开车去车站方便吗?固定句型it is convenient for sb. to do sth.“某人便于做某事”,本句为一般疑问句,故be动词提前到句首,故选C。。
+
+
+【题干】：The teacher took the student's illness into account, so she made him pass the exam . A. originally B. narrowly C. namely D. informally
+【答案】：B
+【解析】：【详解】考查副词词义辨析。句意:老师考虑到这个学生的病情,勉强使他通过了考试。A. originally最初地;B. narrowly勉强地;C. namely也就是;换句话说;D. informally非正式地。根据句意可知选B。。
+
+
+【题干】：We’ve known him for years. To be honest, he is much an acquaintance. A. other than B. rather than C. more than D. no more than
+【答案】：C
+【解析】：【详解】考查短语辨析。句意:我们认识他很多年了。老实说,他不仅仅是一个熟人。A. other than除了;不同于;B. rather than而不是;C. more than不只是;超过;D. no more than只是;仅仅。根据句意可知选C。。
+
+
+【题干】：The first thing I have to do now is to cook the dinner. A. which B. that C. who D. whose
+【答案】：B
+【解析】：【详解】考查定语从句。句意:我现在要做的第一件事就是做饭。 I have to do now是一个定语从句,先行词是The first thing,关系词在从句中作宾语,指物,且先行词被序数词修饰,只能用that,故选B。【点睛】在定语从句中:一、只用that不用which的情况 1、当先行词是all, little, few, much, something, everything, anything, nothing, none等不定代词时。如: Everything that happened then was like a nightmare.当时发生的一切就像是一场噩梦。 I will tell him all that you told me at the ball.我要把你在舞会上跟我说的话全都告诉他。 2、当先行词被only, any, few, little, no, all, just, very(恰好的,表示强调)等词修饰时。例如: The only thing that we could do was to wait.我们能做的只是等待。 That's the very thing that we can do.那正是我们能做的事。 3、当先行词是序数词、形容词最高级或先行词被序数词或形容词最高级修饰时。例如: The first place that we visited was the Great Wall.我们参观的第一个地方是长城。 This is the best novel that I have ever read.这是我看过的最好的小说。 4、被修饰词为数词时。例如: Yesterday I caught two fish and put them in a basin of water. Now you can see the two that are still alive. 昨天我捉到了两条鱼,把它们放在一盆水里。 你可以看到那两条鱼还活着呢。 5、主句是There be结构,修饰其主语的定语从句宜用that作关系代词修饰物。例句: There's still a room that is free.还有一个空房间。 6、先行词中同时包括人和物时。例如: We talked about the people and the villages that we remembered.我们谈论了我们记得的人和村子。 He asked about the factories and workers that he had visited.他问起他去过的这几家工厂和工人的情况。 7、当主句中有who, which时,而定语从句中也要用到who或which时,为了避免who…who, which…which等重叠,定语从句要用that引导。例如: Who is the man that is standing by the door? 站在门边的那个男人是谁? Which of the two cows that you keep produces more milk? 你养的那两头奶牛中哪一个产奶多? 8、人或物在定语从句中表语时,用that引导定语从句,而that通常也可以省略。例如: He is no longer the man that he was.他不再是过去的他。 二、修饰物时只用which不用that的情况 1、引导非限制性定语从句时。例如: Bamboo is hollow, which makes it light.竹子是空心的,这使得他很轻。 2、当关系词前有介词时。例如: This is the room in which Chairman Mao once lived.这就是毛主席曾经住过的地方。 3、在一个句子中有两个定语从句,其中一个定语从句的关系代词用了that, 另一个宜用which.例如: Let me show you the novel that I borrowed from the library which was newly open to us.我来给你看我从新开的图书馆里借来的那本小说。 4、当关系代词后面有插入语时。例如: Here is the English grammar which, as I have told you, will help improve your English.这就是我跟你说过的会有助于你学好英语的那本英语语法书。 5、先行词为that时。例如: The clock is that which can tell us the time.钟是报时的装置。。
+
+
+【题干】：—Let’s go fishing if it this weekend. —Good idea. A. don’t rain B. won’t rain C. will rain D. doesn’t rain
+【答案】：D
+【解析】：【详解】考查条件状语从句。句意:——如果这个周末不下雨,我们去钓鱼吧。——好主意。if引导的条件状语从句,主句用一般将来时态,从句用一般现在时,且it是第三人称单数,谓语动词用单数,故选D。。
+
+
+【题干】：It is believed that travelling to Yaan in October is enjoyable experience. A. /; the B. the; an C. /; an D. the, the
+【答案】：C
+【解析】：【详解】考查冠词。句意:人们相信十月去雅安旅游是一次愉快的经历。在通常情况下,表示月份的名词前不用冠词;泛指“一次愉快的经历”,enjoyable的首字母发音是元音,用不定冠词an,故选C。。
+
+
+【题干】：—May we get off the bus now? —No, you . You to leave until the bus stops. A. can’t; aren’t allowed B. mustn’t; are allowed C. needn’t; are allowed D. needn’t; aren't allowed
+【答案】：A
+【解析】：【详解】考查情态动词和语义理解。——句意:我们现在能下车了吗?——不,你们不能。你们不被允许离开,直到公共汽车站。A. can’t不能;B. mustn’t禁止;C. needn’t不需要;D. needn’t不需要,排除B、C和D,文中表示“不被允许离开”,故选A。。
+
+
+【题干】：Mike used to be a top student, but he has fallen behind he lost himself in playing computer games. A. after B. since C. when D. until
+【答案】：B
+【解析】：【详解】考查连词辨析。句意:迈克曾经是一名优等生,但自从沉迷于电脑游戏后,他就落后了。A. after在……之后;B. since自……以后;C. when当……时;D. until直到…时,根据题意,故选B。。
+
+
+【题干】：With the wide use of e-business, the way of shopping we were used to a lot. A. change B. changing C. changed D. has changed
+【答案】：D
+【解析】：【详解】考查现在完成时。句意:随着电子商务的广泛应用,我们习惯的购物方式发生了很大的变化。we were used to是一个定语从句,先行词是the way of shopping,表示过去的动作或状态持续到现在并且已经完成,对现在造成的影响,可能持续发生下去,用现在完成时,故选D。。
+
+
+【题干】：-Mr. Johnson has been chosen as the manager of the sales department. -_ he was so excited this morning. A. No chance B. No way C. Not possible D. No wonder
+【答案】：D
+【解析】：【详解】考查情景交际。A. No chance不可能;B. No way 没门;C. Not possible不是可能;D. No wonder难怪。句意:——约翰逊先生被选为销售部经理。——难怪他今天早上这么兴奋。故选D。。
+
+
+【题干】：-Can you come on Monday of Tuesday? -I'm afraid_ day is possible. A. either B. neither C. some D. any
+【答案】：B
+【解析】：【详解】考查不定代词。句意:-周一到周二你能来吗? -恐怕两天都不可能。此处either“两者之”;neither“两者都不”。结合句意可知答案为B。。
+
+
+【题干】：Although he did not do it_, he definitely had some responsibility. A. instantly B. deliberately C. accidentally D. casually
+【答案】：B
+【解析】：【详解】考查副词。A. instantly立即地;B. deliberately故意地;C. accidentally意外地,偶然地;D. casually随便地。句意:虽然他不是故意这样做的,但他确实负有一定的责任。故选B.。
+
+
+【题干】：Father made a promise_ I did well in the entrance exam, he would take me to Hong Kong in the summer vacation. A. if that B. if C. that if D. that
+【答案】：C
+【解析】：【详解】考查同位语从句和条件状语从句。句意:爸爸答应我,如果我考得好,他会在暑假带我去香港。此处promise后面是that引导的同位语从句,说明promise的具体内容;在同位语从句中含有if引导的条件状语从句。故选C。。
+
+
+【题干】：Working hard is not a _ of great success, but it is among the essential requirements. A. sign B. signal C. guarantee D. mark
+【答案】：C
+【解析】：【详解】考查名词。A. sign 标志,迹象;B. signal 信号;C. guarantee保证;D. mark符号。句意:努力工作不是取得巨大成功的保证,但它是必不可少的条件之一。故选C。。
+
+
+【题干】：-He was satisfied with the result, wasn't he? -No. It was so difficult that he _have passed it. A. shouldn't B. mustn't C. couldn' t D. wouldn't
+【答案】：C
+【解析】：【详解】考查情态动词。A. shouldn't 不应该;B. mustn't禁止,不允许;C. couldn' t 不可能;D. wouldn't不会。句意:-他对结果很满意,是吗? -不。考试太难了,他不可能通过。固定结构:couldn' t have done“不可能做某事”,此处是对过去事情有把握的否定推测。故选C。【点睛】情态动词+ have done结构: 1.“must + have + 过去分词”表示对过去发生的事情或状态进行推测,语气比较坚定,通常只用于肯定句.如:It must have rained last night,for the ground is wet. 2.“can / could + have + 过去分词”表示对过去某种情况的怀疑或不确定.can和could一般用于否定句和疑问句,could的语气较can弱.如:He can't have finished the work so soon. 3.“may / might + have + 过去分词”表示对已发生的动作或存在的状态进行不肯定的推测,might的语气比may弱一点.这种结构主要用于肯定句和否定句,疑问句改用can或could.如:They may not have known it beforehand. 4.“need + have + 过去分词”表示过去做了不必做或不需要做的事情,或过去做某事纯属多余.如:I needn't have bought so much wine—only five people came. 5.“should / ought to + have + 过去分词”表示过去本该做某事但没做,其否定式表示过去不该做某事但做了,这种句式含有不满或责备之意,ought to的语气比should强一些.如: You ought to / should have studied harder.你本应该更努力学习的.(但没有) He oughtn't to / shouldn't have done that.他本来就不该做那件事.(可是做了) 6.“would + have + 过去分词”表示对过去的某种情况进行猜测,或本来要做某事却因某种原因未做成,通常用来说明某一情况,但不像用should或ought to那样含有责备之意.如: I guess the poet would have been about twenty when she wrote her first poem. Another worker wouldn't have acted like that.。
+
+
+【题干】：But for your help, I _ the work on time. I really do not know how I can thank you enough. A. wouldn't finish B. hadn't finished C. wouldn't have finished D. won't have finished
+【答案】：C
+【解析】：【详解】考查虚拟语气。句意:要不是你的帮助,我就不会按时完成这项工作了。我真不知道该怎么感谢你才好。此处But for“要不是”,相当于if引导的虚拟语气,与过去的事实相反,所以主语部分应该是would/might/could+have done结构。故选C。。
+
+
+【题干】：-Can you tell us your _ for happiness and a long life? -Living every day to the fullest,definitely. A. recipe B. effort C. content D. demand
+【答案】：A
+【解析】：【详解】考查名词词义辨析。句意:-你能告诉我们快乐和长寿的秘诀吗?-充实每一天。 A. recipe秘诀,食谱,药方;B. effort努力;C. content内容,目录;D. demand要求。根据句意可知A项"秘诀"符合题意,故选A。。
+
+
+【题干】：Please call my secretary to arrange a meeting this afternoon,or_ it is convenient to you. A. wherever B. however C. whichever D. whenever
+【答案】：D
+【解析】：【详解】考查状语从句。A. wherever无论何地; B. however无论如何;C. whichever无论哪一个;D. whenever任何时候。有前面的this afternoon可知,此处whenever引导状语从句,故选D。。
+
+
+【题干】：-The railway station,please. I have to be there in ten minutes. -_ but I'll do my best. A. No problem B. I can't promise C. Certainly not D. I can't do that
+【答案】：B
+【解析】：【详解】考查情景交际。A. No problem没问题;B. I can't promise我不能保证;C. Certainly not当然不;D. I can't do that我不能那么做。句意:——去火车站,我必须在十分钟之内赶到那里。——我不能保证,但我会尽最大努力。根据答语可知此处表示“我不能保证”,故B项正确。【点睛】在情景交际的解题过程中,答语中出现的转折连词是重要线索,例如本题,答语的意思是“但我会尽力的”,but一词表明空处与之意思相反,由此可知空处的意思是“我不能保证”,整句答语的意思为“我不能保证,但我会尽最大努力”,前后逻辑正好通顺。。
+
+
+【题干】：One reason for her preference for this school is_, as she put it, it can provide for her future development. A. what B. which C. that D. it
+【答案】：C
+【解析】：【详解】考查表语从句。句意:她偏爱这所学校的原因之一,正如她所说,是它能为她的未来提供什么。分析句子结构可知,此处为表语从句,从句不缺成分,意思完整,要用that引导,故选C项。。
+
+
+【题干】：He wrote a letter _ he explained what had happened in the accident. A. on which B. that C. in which D. how
+【答案】：C
+【解析】：【详解】考查定语从句。句意:他写了一封信,信中他解释了事故中发生的一切。此处为定语从句,先行词为a letter,in the letter表示“在信中”,所以此处用介词in+关系代词which,故C项正确。。
+
+
+【题干】：What he liked to do was to take an idea and _ it by finding every possible consequence. A. squeeze B. wrestle C. switch D. shrink
+【答案】：B
+【解析】：【详解】考查动词辨析。句意:他喜欢做的事是把一个想法拿出来,通过找出每一个可能的结果来与之斗争。A. squeeze挤;B. wrestle斗争;C. switch转换; D. shrink收缩,根据题意,故选B。。
+
+
+【题干】：Any information of the oral test paper are regarded as strictly _ before it is open. A. conventional B. analytical C. controversial D. confidential
+【答案】：D
+【解析】：【详解】考查形容词辨析。句意:口语试卷的任何信息在公开前均被视为严格保密。A. conventional符合习俗的;B. analytical分析的;C. controversial有争议的;D. confidential机密的,根据题意,故选D。。
+
+
+【题干】：—What do you think of your preparations for the final exams? —Not so good. Actually I feel like _ for I’ve made little progress in Maths. A. Daniel in the lion’s den B. Achilles’ heel C. a good Samaritan D. a sacred cow
+【答案】：B
+【解析】：【详解】考查情景对话。——句意:你觉得你为期末考试做的准备怎么样?——不太好。事实上,我觉得这是致命弱点,因为我在数学方面几乎没有进步。根据for I’ve made little progress in Maths.可知这里意思是我觉得这是致命弱点,A. Daniel in the lion’s den真金不怕火炼; B. Achilles’ heel致命弱点;C. a good Samaritan乐善好施的人;D. a sacred cow神圣之物,故选B。。
+
+
+【题干】：-Can you help me with my English homework? You're a genius. -_, but I'll try to help you. What's your problem? A. Far from it B. Sounds good C. By all means D. It's out of question
+【答案】：A
+【解析】：【详解】考查交际用语。句意:-你可以帮我看一下我的英语作业吗?你是一个天才。-我离天才还远着呢,不过我会帮助你,你有什么问题? A. Far from it远不是;B. Sounds good听起来不错;C. By all means一定,务必;D. It's out of question不可能。根据后文but I'll try to help you中的but可知,回答者谦虚的表达,故选A。。
+
+
+【题干】：Sometimes there's a domino effect, _ one bad thing leads to another. A. which B. that C. when D. where
+【答案】：D
+【解析】：【详解】考查定语从句。句意:有时候会有多米诺骨牌效应,一件坏事导致另一件坏事。此处effect做先行词,在后面的非限制性定语从句中作地点状语,故答案为where。【点睛】分析定语从句关键抓住两点:第一、找准先行词;第二、看先行词在定语从句中所作的成分。先行词往往为名词或代词,如本题中先行词为名词effect,再分析先行词effect在定语从句中所作的成分,将先行词effect代到从句中可知,只能作地点状语,故确定关系词where。。
+
+
+【题干】：An international team of astronomers announced Wednesday that they _ the first-ever image of a black hole. A. have captured B. were capturing C. had captured D. would capture
+【答案】：C
+【解析】：【详解】考查时态。句意:周三,一个国际天文学家小组宣布他们第一次捕捉到一个黑洞的图像。此处announced是过去的动作,capture动作发生在announced之前,过去的过去,所以用过去完成时态,故选C。。
+
+
+【题干】：If an entire country gets richer at the same time, individuals wouldn't _ feel wealthier, since their relative positions in society haven't changed. A. necessarily B. initially C. typically D. sustainably
+【答案】：A
+【解析】：【详解】考查副词。句意:如果整个国家同时变得更富有,个人并不一定会感到更富有,因为他们在社会中的相对地位并没有改变。A. necessarily必要地;B. initially最初;C. typically代表性地;D. sustainably支撑得住。根据后面的since从句可推知,个人不一定感到更富有,not necessarily不一定,故选A。。
+
+
+【题干】：When the girl did _ the courage to tell her parents what had happened, unfortunately her own family didn't believe her. A. work out B. work up C. work at D. work on
+【答案】：B
+【解析】：【详解】考查动词词组辨析。句意:当这个女孩逐步鼓起勇气告诉她的父母所发生的事情时,不幸的是她自己的家人不相信她。A. work out算出,制定出;B. work up逐步发展;C. work at致力于;D. work on从事于。故选B。。
+
+
+【题干】：Our society would be better off but for the fact that the economy _ by the current global financial crisis. A. had been affected B. were affected C. should be affected D. is affected
+【答案】：D
+【解析】：【详解】考查时态和语态。句意:如果不是经济受到当前全球金融危机的影响,我们的社会会更好。此处表示一种客观事实,且the economy和affect之间是一种被动关系,所以that引导的同位语从句中用一般现在时态的被动语态,故答案为D。。
+
+
+【题干】：Linda _ to her mother for so long that she figures out almost every gesture of her mother’s. A. attended B. had attended C. would attend D. has attended
+【答案】：D
+【解析】：【详解】考查现在完成时。句意:琳达照顾她母亲太久了,她几乎能领会母亲的每一个动作。分析句意可知,本句为现在完成时,表示过去所发生的动作或事情对现在的影响或产生的结果,着眼点在现在。由“she figures out almost every gesture of her mother’s ”可知,琳达照顾她母亲太久了。对现在的影响是,她几乎能领会母亲的每一个动作。故D选项正确。。
+
+
+【题干】：To combat global warming, many people are _ the use of alternative energy sources. A. applying to B. jumping at C. dipping into D. pushing for
+【答案】：D
+【解析】：【详解】考查动词短语辨析。句意:为了应对全球变暖,许多人正在奋力争取使用替代能源。A. applying to应用;B. jumping at 欣然接受;C. dipping into 翻阅;D. pushing for 奋力争取。奋力争取使用替代能源的目的是为了应对全球变暖。所以 pushing for “奋力争取”符合句意。故D选项正确。。
+
+
+【题干】：The flat is good value for money because not only did they sell it to me at a cheap price, but they threw in some old furniture _. A. at their command B. for good measure C. beyond my reach D. beneath their dignity
+【答案】：B
+【解析】：【详解】考查介词短语辨析。句意:这套公寓物有所值,因为他们不仅以便宜的价格卖给我,而且还额外赠送了一些旧家具。A. at their command 听某人支配;B. for good measure 作为额外增添;C. beyond my reach够不到;D. beneath their dignity 有失身分。for good measure “作为额外增添”符合句意。故B选项正确。。
+
+
+【题干】：President Xi underlines that it is only with joint efforts to keep maritime peace _ build a maritime community with a shared future for mankind. A. can we B. we can C. that we can D. that can we
+【答案】：C
+【解析】：【详解】考查强调句式。句意:习主席强调,只有共同努力保持海洋和平,我们才能建立一个有着人类共同未来的海洋共同体。分析句子可知,本句为强调句式,其结构为:It is (was)+被强调部分(主语、宾语或状语)+who (that)..."。only后边跟副词,介词短语和状语从句位于句首的时候,句子采用部分倒装语序,尤其注意后接从句时候,主句倒装,从句不倒装 ,如果用于强调句中了,only就不位于句首了,句子就不倒装了。故C选项正确。。
+
+
+【题干】：—What do you think of the newly-released film Capernaum? —It touched my heart deeply. But for your recommendation I _ it. A. had missed B. would miss C. would have missed D. must have missed
+【答案】：C
+【解析】：【详解】考查虚拟语气。句意:-你觉得新上映的电影《迦百农》怎么样?-它深深地触动了我的心。要不是你的推荐,我就错过了。虚拟语气有时假设的情况并不是以if引导的条件从句形式出现,而是通过一些短语等形式暗示虚拟语气的存在,常用的词语有with, without, but for, otherwise, or,even, in case of, what if(如果…将如何)等等,这种句子往往有主句而无从句 。但是可以转化成if引导的虚拟条件句。分析句子可知,本句可以转化成是if引导的虚拟条件句,表示与过去事实相反的假设。从句为:If I had not had your recommendation ,主句为:I would have missed it。故C选项正确。【点睛】if虚拟条件句和对应主句的动词形式列表: 条件从句的谓语动词形式 主句谓语动词形式 与过去事实相反的假设 had done would/could/might/should have done 与现在事实相反的假设 过去时(was→were) would/could/might/should do 与将来事实相反的假设 过去时 (was→were ) ; should do; were to do would/could/might/should do 有时假设的情况并不是以if引导的条件从句形式出现,而是通过一些短语等形式暗示虚拟语气的存在,常用的词语有with, without, but for, otherwise, or,even, in case of, what if(如果…将如何)等等,这种句子往往有主句而无从句 (考试时多数情况是对过去的假。但是可以转化成if引导的虚拟条件句。分析句子可知,本句可以转化成是if引导的虚拟条件句,表示与过去事实相反的假设。从句为:If I had not had your recommendation ,主句为:I would have missed it。故C选项正确。。
+
+
+【题干】：—Do you know Linda was fired for her casual attitude towards the job? —No wonder she _ when I tried to amuse her this morning. A. was tickled pink B. pulled my leg C. gave me the cold shoulder D. saw the handwriting on the wall
+【答案】：C
+【解析】：【详解】考查习惯用语辨析。句意:-你知道琳达因为对工作漫不经心而被解雇了吗?-难怪今天早上我试图逗她开心时,她却不理我。A. was tickled pink 高兴极了;B. pulled my leg pulled my leg;C. gave me the cold shoulder 对我却很冷淡;D. saw the handwriting on the wall 不祥征兆。 gave me the cold shoulder “对我却很冷淡”符合句意。故C选项正确。。
+
+
+【题干】：Do you know _? A. what time will the plane take off B. what time would the plane take off C. what time the plane will take off D. the plane will take off at what time
+【答案】：C
+【解析】：【详解】考查宾语从句。句意:你知道飞机什么时候起飞吗?know之后为宾语从句,该宾语从句为特殊疑问句,特殊疑问句作宾语从句,结构为:特殊疑问词+主语+谓语部分,故选C。。
+
+
+【题干】：I truly believe _ beauty comes from within. A. that B. but C. for D. and
+【答案】：A
+【解析】：【详解】考查宾语从句。句意:我真的相信美丽源自于内心。_ beauty comes from within.是一个宾语从句,引导词在从句中不作任何成分,也没有实际意义,用that,故选A。。
+
+
+【题干】：_ majority of the workers in the factory are out of _work owing to the machines being used. A. A; 不填 B. The; 不填 C. The; a D. A; the
+【答案】：B
+【解析】：【详解】考查冠词。句意:由于这个工厂正要使用机器(进行生产),大多数工人失业了。the majority of+名词,表示“大多数……”,该用法是固定用法;out of work失业,该短语是固定短语,故选B。。
+
+
+【题干】：As we know, China has become the largest trading partner for _ of its neighbors. A. a great deal B. the number C. the majority D. a large amount
+【答案】：C
+【解析】：【详解】考查名词短语辨析。句意:众所周知,中国已成为大多数邻国的最大贸易伙伴。the majority of…“大多数的……”,其后常接复数名词。a great deal of和a large amount of后接不可数名词;the number of………的数目,故选C。。
+
+
+【题干】：Most nurses are women,but in the higher ranks of the medical profession men are in the _. A. minority B. majority C. shortage D. substitute
+【答案】：B
+【解析】：【详解】考查名词辨析。句意:大多数护士都是女性,但在医疗行业的高级阶层男性占了大多数。majority意为“大多数”。minority少数,少数民族;shortage缺乏,短缺;substitute替代者,代用品。根据题意,故选B。。
+
+
+【题干】：There isn’t much work to do this coming Saturday, which is part of the reason _ I plan to visit my uncle then. A. which B. where C. why D. because
+【答案】：C
+【解析】：【详解】考查定语从句。句意:我本周六没有多少工作要做,这就是我打算那时去拜访我叔叔的部分原因。_ I plan to visit my uncle then.是一个定语从句,先行词是the reason,关系词在从句中作原因状语,用关系副词why,故选C。。
+
+
+【题干】：The reason _ he is so successful is _ he is always working hard. A. why; that B. why; because C. that; that D. that; because
+【答案】：A
+【解析】：【详解】考查定语从句和表语从句。句意:他如此成功的原因是他总是努力工作。_ he is so successful是一个定语从句,先行词是The reason,关系词在定语从句中作原因状语,用关系副词why引导该定语从句;_ he is always working hard.是一个表语从句,引导词在从句中不作任何成分,也没有实际意义,用that引导该表语从句,故选A。。
+
+
+【题干】：The following_ chosen as the candidates of the competition. A. is B. are C. has D. have
+【答案】：B
+【解析】：【详解】考查主谓一致和语态。句意:以下人员被选为该竞赛的候选人。根据“candidates”可知The following指的是几个人而不是一个人,谓语用复数,而且与choose之间是被动关系,故B项正确。。
+
+
+【题干】：Cell phones are now widely used in our daily lives,_ it possible for us to talk to anyone easily. A. to make B. made C. make D. making
+【答案】：D
+【解析】：【详解】考查非谓语动词。句意:现在手机广泛应用于我们的日常生活中,使我们和任何人交谈都很容易。Cell phones与make之间是逻辑上的主谓关系,表示主动,用现在分词作状语表示一种自然而然的结果,故D项正确。。
+
+
+【题干】：How long do you suppose it is _ he arrived and began to work there? A. when B. before C. after D. since
+【答案】：D
+【解析】：【详解】考查时间状语从句。句意:你认为他到这里开始工作多长时间了?把How long do you suppose 看作插入语,去掉后观察主从句时态,发现从句用的是一般过去时,主句用的是一般现在时,所以用since引导时间状语从句,it is+一段时间+since表示“自从……到现在有多久了”,故D项正确。。
+
+
+【题干】：He is confident, _ in my opinion, is most important in society. A. how B. which C. that D. what
+【答案】：B
+【解析】：【详解】考查非限定性定语从句。句意:他很自信,在我看来,这是在社会上最重要的。此处为非限定性定语从句,关系词指代前面的内容,在从句中作主语,故B项正确。。
+
+
+【题干】：_ the heavy rain,the couple went to the supermarket to buy their son a gift. A. In spite of B. Except for C. But for D. Instead of
+【答案】：A
+【解析】：【详解】考查介词短语辨析。A. In spite of尽管;B. Except for除了;C. But for要不是;D. Instead of而不是。句意:尽管雨很大,那对夫妇还是去超市给儿子买了一份礼物,根据句意可知此处表示“尽管”,故A项正确。。
+
+
+【题干】：I had been betrayed by those who I trusted several times, _ in a suspicious attitude towards everything and everyone. A. resulted B. having resulted C. resulting D. to result
+【答案】：C
+【解析】：【详解】考查非谓语做结果状语。句意:我曾被我信任的人背叛过几次,导致我对每件事和每一个人都抱着怀疑的态度。“result in...”为固定搭配,意为“导致”。前一句“我曾被我信任的人背叛过几次”,导致后面的结果“我对每件事和每一个人都抱着怀疑的态度”。前一句导致后面的结果,此处要用动词的ing形式作结果状语,因此选C。。
+
+
+【题干】：The style of the campus is quite different from _ of most Chinese universities where visitors were amazed by the complex architectural space and abundant building types. A. that B. one C. the one D. those
+【答案】：A
+【解析】：【详解】考查代词的辨析。句意:校园的风格与大多数中国大学(的风格)大不相同,在那里,参观者对复杂的建筑空间和丰富的建筑类型感到惊奇。分析句子可知,本空特指前面的“风格”,但同类不同物,相当于the style。分析选项可知,A. that意为“那个”,指代前面的可数名词单数或不可数名词,具体指哪个取决于其后定语of短语,常与前面所指代的是同类但不同物,相当the +名词;B. one泛指,与前面所指代的名词属于同类但不是同一个,即同类中的一个,相当于a/an+可数名词的单数;C. the one特指前面的可数名词单数,意为“那个”;D. those指代前面的可数名词的复数,与前面指代的名词同类但不同物,相当于“the+名词复数”。根据语境可知,是特指大多数中国大学的风格,故选A。。
+
+
+【题干】：Although Mailer was not alone in welcoming the flowering of creativity, the authorities hated it, _ did many passengers. A. which B. as C. that D. so
+【答案】：B
+【解析】：【详解】考查方式状语从句。句意:尽管梅勒并不是唯一一个欢迎创造力蓬勃发展的人,但当局痛恨它,许多乘客也一样痛恨它。根据语境可知,本句不是定语从句,因此不能用which,当然也不选that。分析句子可知,空前后都是句子,本空应是一个连词。分析语境可知,是指“……也一样,像……一样”,常用于“as+助动词/情态动词”,而“so”作为“如此”讲,是副词。本句如果用so的话,要用 and so...,即as=and so。如Your son is clever, as is Tom.= Your son is clever, and so is Tom你儿子很聪明,汤姆也一样。故本空选B。。
+
+
+【题干】：There are also people who object to fairy stories on the grounds _ they are not objectively true, and that giants, witches, two-headed dragons etc do not exist. A. that B. what C. which D. when
+【答案】：A
+【解析】：【详解】考查同位语从句的连接词。句意:也有人反对童话故事,理由是它们在客观上不真实,巨人、女巫、双头龙等不存在。分析句子可知,本句空格是同位语从句的连接词,其中“they are not objectively true, and that giants, witches, two-headed dragons etc. do not exist.”是对名词the grounds加以解释说明,二者是同位语的关系。分析句子可知,同位语从句中不缺少成分,只是缺少一个引导词,连接词that在名词从句中不作成分,只起引导词的作用;而what、which和when都要在从句中作成分,此处不能选。因此本题选A。。
+
+
+【题干】：- Does the young man _ the company? - No, the company is _ his father. A. in possession of; in the possession of B. have possession of; in the possession of C. take possession of; in possession of D. have possession of; in possession of
+【答案】：B
+【解析】：【详解】考查词组。A. in possession of拥有; in the possession of被-拥有;B. have possession of拥有;in the possession of被-拥有;C. take possession of拥有;in possession of拥有;D. have possession of拥有;in possession of拥有。句意:——这个年轻人拥有公司吗?——不,公司归他父亲所有。助动词does后用动词原形,结合句意可知答案为B。。
+
+
+【题干】：I can’t believe that they _ my debt card twice for something that was never shipped. A. charged B. awarded C. rewarded D. cost
+【答案】：A
+【解析】：【详解】考查动词。A. charged承担,指控;B. awarded授予,判定;C. rewarded奖赏;D. cost花费,使付出。句意:我不敢相信他们竟然对我的信用卡两次收取但从未发过货。固定搭配:charge-for-“因-而收取费用”。故选A。。
+
+
+【题干】：Property crimes, such as motor vehicle theft, are the most common crimes _ in the US. A. committed B. committing C. having committed D. to commit
+【答案】：A
+【解析】：【详解】考查过去分词作后置定语。句意:财产犯罪,如汽车盗窃,是美国最常见的犯罪。此处crimes和commit之间是被动关系,是过去分词作后置定语,故答案为A。。
+
+
+【题干】：I’d appreciate _ if you would like to teach me how to use this computer. A. that B. this C. you D. it
+【答案】：D
+【解析】：【详解】考查it做形式宾语。句意:如果你能教我如何使用这台电脑,我将不胜感激。此处it是形式宾语,真正的宾语是后面的从句。固定句式:I would appreciate it if...,“如果.......,我将不胜感激”。故选D项。。
+
+
+【题干】：It was not until _ that _ taking and began to prepare for class. A. did the teacher turn up; the students stopped B. the teacher turned up; the students stopped C. did the teacher turn up; did the students stop D. the teacher turned up; did the students stop
+【答案】：B
+【解析】：【详解】考查not until的强调句式。句意:直到老师出现,学生们才停止上课,开始准备上课。此处是not-until“直到-才”引导的强调句式,It+is/was+not until+that+-,其中主句和从句部分都用陈述语气,故选B。。
+
+
+【题干】：After checking the patient, the doctor ran out of the room, _ a deep sigh. A. let out B. letting out C. to let out D. to be let out
+【答案】：B
+【解析】：【详解】考查非谓语动词。句意:检查完病人后,医生跑出了房间,深深地叹了一口气。doctor与let out之间是逻辑上的主谓关系,表示主动,用现在分词作伴随状语,故B项正确。。
+
+
+【题干】：- I’m afraid I can’t finish the book within this week. - _. A. Please go ahead B. That’s right C. Not at all D. Take your time
+【答案】：D
+【解析】：【详解】考查情景交际。A. Please go ahead请继续; B. That’s right没错;C. Not at all不用谢;D. Take your time不用着急。句意——恐怕我不能在本周内读完这本书。——不用着急。根据句意可知此处表示“不用着急、慢慢来”,故D项正确。。
+
+
+【题干】：- This dress looks too old-fashioned. - No. It’s _ old. It suits you well. A. far from B. free from C. absent from D. apart from
+【答案】：A
+【解析】：【详解】考查介词短语辨析。A. far from远非、完全不;B. free from免于;C. absent from缺席; D. apart from除了。句意:——这件衣服看起来太过时了。——不,它一点都不过时,很适合你。根据答语可知此处表示“远非”,故A项正确。。
+
+
+【题干】：The music also expressed the rising _ in the movie as the characters were preparing for battle. A. setting B. export C. tension D. staff
+【答案】：C
+【解析】：【详解】考查名词词义辨析。A. setting布置;B. export出口;C. tension紧张、不安;D. staff职员。句意:音乐也表达电影中的人物准备战斗时不断加剧的紧张气氛。根据“as the characters were preparing for battle”可知此处表示“紧张”,故C项正确。。
+
+
+【题干】：Many Chinese people are _ to donate organs due to traditional beliefs that discourage the removal of body parts. A. typical B. suitable C. unwilling D. potential
+【答案】：C
+【解析】：【详解】考查形容词词义辨析。句意:由于传统观念不主张身体部位脱离,很多中国人不愿意捐赠器官。A. typical典型的;B. suitable适合的;C. unwilling不愿意的;D. potential潜在的。根据后文traditional beliefs that discourage the removal of body parts.可知,受传统观念的影响,很多人不愿意捐赠器官,故选C。。
+
+
+【题干】：I was _ of crossing the road _ the car accident happened. A. around the time; when B. on the point; that C. at the moment; when D. on the point; when
+【答案】：D
+【解析】：【详解】考查固定句型。句意:我刚要过马路车祸就发生了。本句为句型be on the point of doing...when正要做某事的时候突然,强调另一个动作的突然性,故选D。【点睛】When的用法 一 .when 用作副词. 1.用作疑问副词,引导特殊疑问句。例如: When will you come to see me?你什么时候要来看我? 2.用作连接副词,通常用来引导主语从句、表语从句、同位语从句、宾语从句及起名词作用的“ when +动词不定式”结构。例如: When he comes is not known.他何时来还不知道。 I have no idea when the game will begin.我不知道比赛何时开始。 I don't know when to leave for London.我不知道该在何时动身去伦敦。 3.用作关系副词,引导限定性定语从句和非限定性定语从句。例如: The day will come soon when the Chinese astronauts will go to the moon.中国宇航员登上月球的那一天很快就要到来了。 We will go to the countryside at the beginning of June,when the summer harvest will start.我们将在六月初下乡,那时夏收就要开始了。 二 .when 用作连词. 1.用作从属连词,意为“当……的时候”,引导时间状语从句。例如: It was snowing when he arrived at the station.他到达车站时,天正下着雪。 2.用作从属连词,意为“一……就……”,引导时间状语从句。例如: We will stand up when the teacher comes into the classroom.老师一进教室我们就起立。 Fire the rockets when I give the signal.我一发信号,你就点燃火箭。 3.用作从属连词,意为“还没 / 刚刚……就”,引导时间状语从句。例如: I had hardly opened the door when he came in.我刚一开门,他就进来了。 本句为句型be on the point of doing...when正要做某事的时候突然,强调另一个动作的突然性,故选D。。
+
+
+【题干】：- Alice, why didn’t you come to my birthday party yesterday? - I _, but I had an unexpected visitor. A. had B. would C. was going to D. did
+【答案】：C
+【解析】：【详解】考查时态。句意:——Alice,昨天为什么没来我的生日派对?-我本打算来的,结果有个不速之客来拜访。不定式在某些结构后作复合谓语时,不定式符号 to后的内容可以省略。常见的结构有:be able to,be going to,have to,ought to,used to等。was going to 表示过去打算做某事而实际上没做,故选C。。
+
+
+【题干】：- What do you think made the girl so glad all the day? - _ in the film as the lead. A. Casting B. Being cast C. To be cast D. Having been cast
+【答案】：B
+【解析】：【详解】考查动名词。句意:你认为是什么让这个女孩这么高兴的?-被选为电影主角。分析句子可知,本句为省略句,省略了谓语和宾语,cast选派角色,与其逻辑主语she为动宾关系,故用被动,本句缺乏主语,故用动名词作主语,故选B。这句话是省略句,完整的是:Being cast in the film as the lead (makes the girl so glad) 。。
+
+
+【题干】：The concert couldn’t be _. It is years since I enjoyed myself in a concert. A. more successful B. far successful C. much successful D. very successful
+【答案】：A
+【解析】：【详解】考查比较级。句意:这场音乐会不能再成功了。我几年没有听的这么高兴了。根据后文It is years since I enjoyed myself in a concert可知,这场音乐会非常成功,本句为could not +比较级表示最高级的含义,故选A。【点睛】比较级表示最高级。 英语中用比较级句型可以表示最高级的含义,较为常见的有下列几种形式: 1、直接使用比较级:①How beautiful she sings!I've never heard a better voice. = She has the best voice I've ever heard.她唱得多好啊!这是我听到的最美的歌喉。 ②I have never read a more interesting novel.= It is the most interesting novel I've ever read. 这是我读过的最有趣的小说。 2、比较级 + than + the other + 复数名词/ + any other + 单数名词/ + any of the other + 复数名词:①She goes to school earlier than the other girls.她比其他女孩早上学。 ②He works harder than any other student.她学习最用功。 ③China is larger than any of the other countries in Asia.中国是亚洲最大的国家。 3、比较级 + than + anything/ anyone else: ①George did more work than anyone else.乔治干活最多。 ②Tom cared more for money than for anything else 汤姆最喜欢钱。 4、在比较句型中使用 "no", "nobody", "nothing" 等词。 ①I like nothing better than swimming.我最喜欢游泳。 ②Nobody can do the work better than he did. 这项工作他做得最出色。 ③No other building is as grand as the new hotel. 新建的宾馆是当地最豪华的。 根据后文It is years since I enjoyed myself in a concert可知,这场音乐会非常成功,本句为could not +比较级表示最高级的含义,故选A。。
+
+
+【题干】：—Whom do you want to see at the moment? — The man _ Mr. Li. A. called himself B. you call C. calling him D. is called
+【答案】：B
+【解析】：【详解】考查定语从句。句意:——你现在要见谁?——一个你们称李先生的男士。分析句子的结构可知,the man是先行词,指人,在后面的定语从句中作宾语,用who/that/whom引导,因为在从句中作宾语,引导词也可省略。故选B。。
+
+
+【题干】：Mary as well as her sister _ Chinese in China. A. are studying B. have studied C. studies D. study
+【答案】：C
+【解析】：【详解】考查主谓一致。句意:玛丽和她姐姐在中国学习汉语。因为as well as只是一种伴随的状态,和with的用法一样,它真正的主语还是as well as前面的词,它后面跟的不论是多少人都无所谓,而这句前面只有Mary一个人,所以用单数。只有C项是单数,故选C。。
+
+
+【题干】：At first, _ English language stayed _ the language _ in Britain. A. the, same like, used B. /, the same like, being used C. the, the same as, used D. /, the same as, using
+【答案】：C
+【解析】：【详解】考查冠词的用法和非谓语动词。句意:起初,英语和英国使用的语言保持一致。第一个空特指英语这种语言,因此使用定冠词the,第二个空考查固定搭配the same as“与……一样”,第三个空考查非谓语形式,language跟use是被动的关系,因此使用过去分词充当后置定语,故答案为C。。
+
+
+【题干】：Some people like dogs_ others like cats. A. while B. besides C. and so D. when
+【答案】：A
+【解析】：【详解】考查并列连词。句意:有些人喜欢狗,而其他人喜欢猫。本题A选项while可以表示对比,意为“然而”,故选A。。
+
+
+【题干】：—Oh, my God! I failed in the exam. —How _ it _? A. did, come about B. was, happened C. did, come along D. was, taken place
+【答案】：A
+【解析】：【详解】考查动词短语用法。句意:——哦,我的上帝!我考试不及格。——它是怎么发生的?首先happen与take place都无被动语态,故B、D选项直接排除;C选项“到来”不符合句意;只有A选项come about可以表示“发生”,故本题答案选A。。
+
+
+【题干】：I can’t eat anything with someone _ me. A. looking at B. look at C. to look at D. looked at
+【答案】：A
+【解析】：【详解】考查现在分词。句意:有人看着我的时候我吃不下任何东西。此处是with的复合结构,with+名词或代词+doing,这里someone和look之间是主动关系,且表示动作进行,所以用现在分词。故选A。。
+
+
+【题干】：_ English _ is very important. A. Practising every day, everyday B. Practising everyday, every day C. Practise everyday, every day D. To practise every day, everyday
+【答案】：B
+【解析】：【详解】考查动名词作主语及everyday和every day的用法。句意:每天练习日常英语是非常重要的。此处用动名词作主语,表示一般的行为;everyday是形容词,意为“每天的”;every day是名词词组,意为“每天”。结合句意可知答案为B。。
+
+
+【题干】：All the children slept in _ beds, _ two, who slept on the floor. A. separate; except B. separated; besides C. his own; except for D. their won; besides
+【答案】：C
+【解析】：【详解】考查形容词性物主代词、形容词和介词词组。句意:所有的孩子都睡在他们自己床上,除了两个睡在地板上的孩子。“所有睡在床上的孩子”,不包括“两个睡地板的孩子”,故后一个空需使用except (for)(除……之外(不包括))这一词;而besides意为“除……之外(还有)”,故B、D选项直接排除。第一个横线后面为名词beds(床),故前面需使用形容词或限定词修饰,此处不表示在分开的床上,故A选项排除;C选项his own(他自己的)为限定词,符合用法。综上,本题答案为C选项。。
+
+
+【题干】：The speaker spoke in a loud voice _ he could be heard by all. A. so that B. in order to C. so as to D. in order which
+【答案】：A
+【解析】：【详解】 考查目的状语从句。句意:演讲者说话声音很大为的是能够让大家都听到他的讲话。分析句子的意思可知,演讲者大声说话的目的是为了让大家听到,所以后面的句子为一个目的状语从句,用so that来引导,且该从句中含有情态动词could,故选A。B和C后面都是需要跟动词构成不定式;D项结构错误。。
+
+
+【题干】：You’d better put on more clothes to _ yourself _ the cold weather. A. protect; by B. protect; from C. prevent; from D. protect; in
+【答案】：B
+【解析】：【详解】考场固定词组。句意:你最好多穿一些衣服来保护你自己抵御寒冷的天气。protect sb from sth意为“保护某人免遭……”,故A、D选项直接排除;C选项prevent sb from sth无此用法,正确的用法是prevent sb from doing sth(阻止某人做某事)。综上,本题答案为B选项。。
+
+
+【题干】：You know that the rich often _ the poor. A. look down B. look up C. look down upon D. look out
+【答案】：C
+【解析】：【详解】考查动词短语辨析。句意:你知道富人常常瞧不起穷人。look down向下看;look up向上看,查找;尊重;look down on轻视,瞧不起;look out当心。根据语境,有钱人“瞧不起”穷人,故答案选C。。
+
+
+【题干】：I have _ the singer, but I don’t _ him very well. A. known; know about B. known; know C. known about; know D. known of; know about
+【答案】：C
+【解析】：【详解】考查动词及词组辨析。句意:我听说过这个歌手,但是我不是很了解他。know about知道……的情况,听说;know了解,认识,熟悉;know of知道,听说。故选C。。
+
+
+【题干】：The woman doctor will _ the famous singer next year. A. be married B. marry to C. marry with D. marry
+【答案】：D
+【解析】：【详解】考查动词及词组的辨析。句意:这位女医生明年将嫁给那位著名的歌手。marry既可用作及物动词,也可用作不及物动词,意为“结婚;嫁;娶;与……结婚”等。常见用法如下:①marry sb表示“嫁给某人,与……结婚”;②be/get married to sb表示与某人结婚。选项A缺少介词to/with;选项B和C多了介词to和with。故选D。。
+
+
+【题干】：Miss Wang is ill, so I’ll _ to teach you Lesson 20. A. take place B. take his place C. take place of D. take a place
+【答案】：B
+【解析】：【详解】考查动词短语。句意:王女士病了,因此我将代替他给你们上第二十课。take place发生;take one’s place取代……人;take place of没有这个搭配;take a place没有这个搭配。故选B项。。
+
+
+【题干】：In the reading-room there are tables _ you can sit reading. A. in which B. at where C. in where D. at which
+【答案】：D
+【解析】：【详解】考查定语从句和介词。句意:在阅览室里有几张桌子,你可以坐在那里看书。题干中空格后面是修饰和限制名词tables的定语从句,把先行词tables带入到定语从句,完整的定语从句是"you can sit reading at the tables",可见从句中需要的是介词短语作地点状语,答案是at which或where,故选D。。
+
+
+【题干】：The sun _ we get heat and light is the most important source of energy. A. which B. that C. from which D. from it
+【答案】：C
+【解析】：【详解】考查限制性定语从句。句意:我们获得热和光的太阳是最重要的能源。_ we get heat and light是定语从句,修饰先行词The sun,先行词在从句中作宾语,要用which;在get sth.from…中,from表示来源,排除A、B项,缺少介词;D项中缺少连词,也应排除。故选C。。
+
+
+【题干】：The boss _ Mr. Wang worked for five years was very cruel. A. with him B. for whom C. whom D. whose
+【答案】：B
+【解析】：【详解】考查定语从句。句意:王先生为之工作了五年的老板非常残忍。句中含有定语从句,先行词是the boss,指人用whom或者who,为某人工作应该用work for sb,所以用介词for,介词后面指人只能用whom。故选B。。
+
+
+【题干】：— What are you busy _? —I’m busy _ the plan for the trip. A. in; to make B. with; to make C. in; making D. with; making
+【答案】：D
+【解析】：【详解】考查固定搭配。句意:——你在忙什么? ——我正忙着制定旅行计划。be busy with sth忙于某事;be busy (in) doing sth.忙于做某事;根据句子结构,第一空句中what充当介词with的宾语,第二空中动词用-ing形式,故选D。。
+
+
+【题干】：Although you are not satisfied with me, I have done all that I _ you. A. can to help B. can help C. can helping D. can to helping
+【答案】：A
+【解析】：【详解】考查动词不定式。句意:虽然你对我不满意,但我已经尽力帮助你了。all作do的宾语,后接定语从句that I can do to help you,因主句中有do,从句中的do应省略,即:all that I can to help,动词不定式短语to help you作目的状语。故选A。。
+
+
+【题干】：Is _ true that the meeting will be held next week? A. that B. he C. this D. it
+【答案】：D
+【解析】：【详解】考查it用法。句意:会议将于下周举行,这是真的吗?此处it是形式主语,真正的主语是that引导的主语从句。故选D。。
+
+
+【题干】：The coat I bought yesterday is the same _. A. as you B. as you are C. as yours D. like you
+【答案】：C
+【解析】：【详解】考查固定结构和名词性物主代词。句意:我昨天买的外套和你的一样。the same as…和……一样,句中比较的是衣服,因为后面没有名词,所以此处要用名词性物主代词yours,相当于your coat。故选C。。
+
+
+【题干】：The professor we'd been looking forward to finally _ A. showing up B. showed up C. to show up D. being showed up
+【答案】：B
+【解析】：【详解】考查句子结构。句意:我们一直期盼的教授终于来了。分析句子结构可知,we'd been looking forward to是定语从句修饰先行词The professor,此处是句子的谓语,其他三项是非谓语结构,故B项正确。。
+
+
+【题干】：To my disappointment, Alice _ my invitation to the ball because she said that she didn't like to _ on such an occasion. A. turned down; turn up B. turned off; turn into C. turned back; turn in D. turned out; turn up
+【答案】：A
+【解析】：【详解】考查动词短语辨析。A. turned down拒绝; turn up出现;B. turned off关闭; turn into变成;C. turned back阻挡; turn in上交;D. turned out结果是; turn up出现。句意:令我失望的是,爱丽丝拒绝了我的舞会邀请,因为她说她不喜欢在这种场合出现。根据句意可知,第一空表示“拒绝”,第二空表示“出现”,故A项正确。。
+
+
+【题干】：The man who's is _debt owing to his bad management is _a diet. A. in,in B. in,on C. out, in D. on, in
+【答案】：B
+【解析】：【详解】考查介词短语。句意:因管理不善而负债的那个人正在节食。in debt表示“负债”,on a diet表示“节食”,故B项正确。。
+
+
+【题干】：In his own restaurant,he would immediately fire any employee who was _ to a customer. A. rude B. considerate C. accessible D. selfish
+【答案】：A
+【解析】：【详解】考查形容词词义辨析。A. rude粗鲁的、无礼的;B. considerate体贴的;C. accessible可进入的;D. selfish自私的。句意:在他自己的餐厅,他会立即解雇对顾客无礼的员工。根据“fire”可知此处表示“无礼的”,故A项正确。。
+
+
+【题干】：I am afraid to tell you that we don't permit_here. A. park B. to park C. parking D. parked
+【答案】：C
+【解析】：【详解】考查非谓语动词。句意:恐怕我要告诉你我们不允许在这里停车。permit后接动名词作宾语,故C项正确。。
+
+
+【题干】：The book _ this week. A. comes up B. comes about C. comes out D. comes across
+【答案】：C
+【解析】：【详解】考查动词短语辨析。句意:这本书本周出版。A. comes up走进,被提出,出现; B. comes about发生,产生;C. comes out出版; D. comes across偶遇。根据句意故选C。。
+
+
+【题干】：I’m not going to put myself _ the bank. A. at the mercy of B. apart from C. all the time D. in the history of
+【答案】：A
+【解析】：【详解】考查介词短语。句意:我不会任由银行摆布的。A. at the mercy of受……支配; B. apart from除……之外;C. all the time始终,一直; D. in the history of在……的历史进程中。根据句意故选A。。
+
+
+【题干】：_ I saw it, I knew I had seen it before. A. At the moment B. Immediately C. For the first time D. The minutes
+【答案】：B
+【解析】：【详解】考查连词。句意:我一看到它,就知道我以前见过它。A. At the moment此刻,当时;the moment一……就; B. Immediately一……就;C. For the first time第一次;the first time后可加句子“第一次”;D. The minutes分钟,the minute一……就。这里逗号前后都是句子,所以应该用连词。故选B。。
+
+
+【题干】：You should keep those old jam bottles -you never know _ you might need them. A. when B. how C. what D. where
+【答案】：A
+【解析】：【详解】考查宾语从句。know是及物动词。后跟宾语从句;从句中有主语you, 有宾语them,故应当用关系副词。when意为“什么时间”;how意为“怎样”;where意为“在哪里”。句意为:你应该留住那些旧酱瓶,你不知道什么时间可能会需要它们。故选A。。
+
+
+【题干】：Tianjin soccer fans wonder how long it will be _ the popular soccer star —Sunke can appear in the fields in Tianjin as a member of Tianjin Tianhai soccer team. A. before B. since C. until D. where
+【答案】：A
+【解析】：【详解】考查状语从句。句意:天津球迷想知道,流行足球明星孙科还需要多久才能作为天津天海足球队的一员出现在天津的赛场上。固定句式:It will be +some time +before-“多久之后才-”。故选A。。
+
+
+【题干】：We had better put off interviewing the athlete, for he is busy preparing for an international contest _ in Shanghai next month. A. held B. to hold C. being held D. to be held
+【答案】：D
+【解析】：【详解】考查动词不定式一般式的被动式作后置定语。句意:我们最好推迟采访这位运动员,因为他正忙于准备下个月在上海举行的国际比赛。此处contest和hold之间是一种被动关系,而且根据后面的next month可知,比赛还未举行,所以这里用动词不定式一般式的被动式作后置定语,故选D。。
+
+
+【题干】：You have to rewrite the monthly report because you _ many important details. A. turned off B. left out C. dropped by D. put up
+【答案】：B
+【解析】：【详解】考查动词词组。A. turned off关掉;B. left out忽视,不考虑;C. dropped by下降;D. put up建造,举起。句意:你必须重写月度报告,因为你漏掉了许多重要的细节。结合句意可知答案为B。。
+
+
+【题干】：You’d better write down the phone number of that botel for future _ . A. reference B. purpose C. progress D. memory
+【答案】：A
+【解析】：【详解】考查名词辨析。句意:你最好记下那家水上旅馆的电话号码以便以后查阅。A. reference 提到;查阅;参考书目;B. purpose目的,意图;用途;效果;C. progress前进,进步,进展;D. memory记忆;回忆;纪念。结合句意,故选A。。
+
+
+【题干】：— Peter, you seem in high spirits. — _ I have been offered a part-time job in the KFC . A. So what? B. No wonder. C. No doubt. D. Guess what.
+【答案】：D
+【解析】：【详解】考查情景交际。句意:——Peter,你看上去情绪很高涨。——你猜怎么着?我在肯德基找到了一份兼职工作。A.So what?那又怎样,表示对别人所说的话不在乎;B.No wonder.怪不得,难怪; C.No doubt.无疑地,很可能地; D.Guess what?你猜怎么着?根据答语可知,由于Peter在肯德基找到了一份兼职工作,因此此处表达的应是他比较兴奋的语气,故选D。。
+
+
+【题干】：You look beautiful in this dress and there is only one of this kind left here. I wonder if you would buy _. A. it B. one C. some D. any
+【答案】：A
+【解析】：【详解】考查代词。句意:你穿这件衣服很漂亮,这种(样式)这里只剩下一件了。我不知道你是否会买它。根据“there is only one of this kind left here”可知,此处表示前面提到的那一条裙子,故选A。。
+
+
+【题干】：The new supermarket has announced that the first to purchase goods on the opening day _ get a big prize. A. must B. could C. would D. shall
+【答案】：D
+【解析】：【详解】考查情态动词的用法。句意:新开业的超市宣布,开业当天首先购物的人会得到大奖。shall 用于二三人称的陈述句中可以表示说话人的承诺,命令,警告等,此处表示超市的承诺,故选D。。
+
+
+【题干】：_ they choose Chinese company is that China has the most advanced technology of high speed railway in the world. A. When B. That C. Where D. Why
+【答案】：D
+【解析】：【详解】考查名词性从句连接词。句意:他们选择中国公司的原因是中国拥有世界上最先进的高速铁路技术。根据后文中国拥有世界上最先进的高速铁路技术是他们选择的原因,为因果关系,故选why。故选D。。
+
+
+【题干】：— What present shall we prepare for his birthday? Football, pop music, model plane or ship... — _. Let’s make him a model plane. A. That’s it B. It’s a good idea C. That’s true D. That’s right
+【答案】：A
+【解析】：【详解】考查情景交际。A. That’s it那就这样吧,没错;B. It’s a good idea 这是一个好主意;C. That’s true那是真的;D. That’s right那是正确的。句意:——我们应该为他的生日准备什么礼物?足球、流行音乐、模型飞机或轮船……——那就这样吧,让我们给他做一个飞机模型。故选A。。
+
+
+【题干】：— Learning a language isn’t easy. It takes time. — I agree. _. There’s no shortcut. A. Strike while the iron is hot B. All roads lead to Rome C. Where there is a will, there is a way D. Rome wasn’t built in a day
+【答案】：D
+【解析】：【详解】考查情景交际。A. Strike while the iron is hot趁热打铁;B. All roads lead to Rome条条大路通罗马;C. Where there is a will, there is a way有志者,事竟成;D. Rome wasn’t built in a day冰冻三尺,非一日之寒。句意:——学习一门语言并不容易。这需要时间。——我同意。冰冻三尺,非一日之寒。没有捷径。故选D。。
+
+
+【题干】：—How about his design? —Well, to tell the truth, it is _ but satisfactory. So you’ll have to try your best to better it. A. something B. anything C. everything D. nothing
+【答案】：B
+【解析】：【详解】考查固定搭配。句意:-他的设计怎么样?-嗯,说实话,一点也不令人满意。所以你必须尽力把它做得更好。A. something某物,重要的事物;B. anything任何东西;C. everything每件事, 所有事物;D. nothing没有什么, 没有一件东西。而“anything but...”为固定搭配,意为“决不是,一点也不”。根据后面的“你必须尽力把它做得更好”,可知对于设计“一点也不满意”,故选B。。
+
+
+【题干】：He gets up at six o’clock, runs for half an hour and then has a meal; that is his morning _. A. route B. routine C. behavior D. tendency
+【答案】：B
+【解析】：【详解】考查名词辨析。route路线,固定线路;routine常规; 正常顺序,习惯;behavior行为,表现;tendency倾向,趋势, 趋向。根据“他六点起床,跑半个小时,然后吃饭”,可知那是他早上的例行公事(routine)即习惯。故选B。。
+
+
+【题干】：Mr. Green was very famous when he lived there. There is _ to be someone in this district who remembers him. A. content B. opposed C. bound D. restricted
+【答案】：C
+【解析】：【详解】考查固定搭配。句意:格林先生住在那里时非常有名。这个地区一定有人记得他。be content to do...意为“满足于做某事”;be opposed to doing sth.意为“反对做某事”;“be bound to do...”意为“必定会”;be restricted to sth.意为“仅限于...”。根据前句“住在那里时非常有名”可知,有人必定(be bound to)会记得他。故选C。。
+
+
+【题干】：This restaurant has become popular for its wide _ of foods that suit all tastes and pockets. A. production B. offer C. range D. division
+【答案】：C
+【解析】：【详解】考查名词辨析。A. production产品;B. offer提议,出价; C. range范围;D. division部门,分配。句意:这家餐馆因其各式各样的食物而受欢迎,这些食物适合所有人的口味和口袋。表示“大范围的,各种各样的”,故选C。。
+
+
+【题干】：—This is the first time that those children have been abroad. —_. Look! They are so excited now. A. No doubt B. No wonder C. Never mind D. Don’t mention it
+【答案】：B
+【解析】：【详解】考查交际用语。句意:——这是那些孩子们第一次出国。——难怪呢。看!他们现在兴奋极了。根据语境可知,第二个人明白了孩子们兴奋的原因。no wonder意为"难怪,怪不得";no doubt"毫无疑问";never mind"没关系";don’t mention it"不客气",故选B。。
+
+
+【题干】：Taking everything into consideration, my nephew managed to gain _ to the university of his choice at last. A. commitment B. admission C. exposure D. reaction
+【答案】：B
+【解析】：【详解】考查名词辨析。句意:把一切考虑在内,我的侄子最终成功获得了自己所选大学的录取。gain admission to...意为"获准进入……",符合语境。commitment"承诺,投入";exposure"暴露,揭露";reaction"反应",故选B。。
+
+
+【题干】：_ you have picked up, you must give it back to _ it belongs to. A. Whatever; whoever B. What; whoever C. No matter what; no matter who D. Whatever; no matter who
+【答案】：A
+【解析】：【详解】考查名词性从句和状语从句。句意:无论你捡到什么,你必须把它还给它的主人。第一空Whatever引导的是让步状语从句,Whatever在这里相当于No matter what;第二空whoever引导的是宾语从句,且whoever在从句中作belongs to的宾语,且不能用no matter who引导名词性从句。综上,故选A。。
+
+
+【题干】：Is this chicken farm _we visited three years ago? A. in which B. where C. the one D. /
+【答案】：C
+【解析】：【详解】考查定语从句。句意:这是我们三年前来参观过的养鸡场吗?根据横线前后内容可知,横线后为定语从句,横线之前句子的主语为this chicken farm,is为系动词,故横线处应填表语且作定语从句的先行词;选项中只有one是代词,能够指代前面的chicken farm,且先行词在定语从句中作宾语,指物时用关系代词that或which,且可以省略,所以the one后面省略了that或者which。故选C。。
+
+
+【题干】：The weather turned out to be fine yesterday. I _ the trouble to carry my umbrella with me. A. shouldn’t have taken B. couldn’t have taken C. mustn’t have taken D. needn’t have taken
+【答案】：D
+【解析】：【详解】考查情态动词。句意:昨天天气不错,所以我原本不需要费心带着我的雨伞。A项,should have taken “本应该带”(没有带);B项,could have taken “本可以带”(没有带);C项,mustn't have taken(一般不用这种说法);D项,needn't have taken “本不需要带”(带了)。由题中“昨天天气不错”可知,此处应指“我本不需要费力带伞”,只有D项符合题意,故正确答案为D。。
+
+
+【题干】：Last year the well-known actress did all _ help the poor children in that mountain village. A. she could do B. she could to C. what she could to D. that she could
+【答案】：B
+【解析】：【详解】考查定语从句。句意:去年那个著名的女演员做她所能做的一切帮助那个山村里的穷孩子。本句中,all为先行词,在定语从句中作did的宾语,故用关系代词that。其后的that she could为定语从句,定语从句的主动词为do,因前面有do的形式(did),而承前省略。不定式to help the poor children...在句中作目的状语。all that she could do等于what she could do。故选B。。
+
+
+【题干】：—I spend two weeks in Beijing last year. —Then you must have visited the Great Wall during your stay, _ you? A. mustn’t B. didn’t C. haven’t D. hadn’t
+【答案】：B
+【解析】：【详解】考查情态动词。句意:——去年我在北京呆了两周。——那么你在逗留期间一定参观过长城,是吗?题中last year表示的是一个确定的过去时间,可认定must have visited是对“过去”的推断,用一般过去时反问。此处是反意疑问句,前半句肯定,后半句应该用否定形式,故选B。。
+
+
+【题干】：There is no reason to be disappointed. _, this could be rather amusing. A. Above all B. As a result C. Apart from that D. As a matter of fact
+【答案】：D
+【解析】：【详解】考查词组辨析。A. Above all最重要的是;B. As a result结果;C. Apart from that除……之外;D. As a matter of fact事实上。句意:没有理由感到失望。事实上,这可能相当有趣。结合句意可知答案为D。。
+
+
+【题干】：In some countries, people eat with chopsticks, while in _, knives and forks. A. another B. other C. others D. the other
+【答案】：C
+【解析】：【详解】考查不定代词。句意:在一些国家,人们用筷子吃饭,而在另一些国家,人们用刀叉吃饭。固定搭配:some…, others…“一些……,另一些……”,others在此相当于other countries,故选C。。
+
+
+【题干】：My glasses, _ I was like a blind man, fell to the ground and broke. A. which B. with which C. without which D. that
+【答案】：C
+【解析】：【详解】考查非限制性定语从句的关系词。句意:我的眼镜掉在地上摔坏了,没有它我就像一个盲人。分析句子可知,空后面为非限制性定语从句,对glasses进行补充说明,从句中不缺少成分,先行词为glasses,指事物,根据句意应该是介词和which来引导。此处指没有眼镜,故选C项。【点睛】定语从句关系词的选择:首先,确定先行词是人还是物,是时间、地点、原因名词。第二,关系词在从句做什么成分,主语、宾语、定语、状语还是表语。由此决定选关系副词还是关系代词。第三,判断是限制性定语从句还是非限制性定语从句,非限制性定语从句一般不用that,不能省略关联词。本题为先行词为glasses,指物,在从句中需要借助介词共同充当状语,表示没有眼镜,故用without which。。
+
+
+【题干】：I _ the truth of your remarks, although they go against my interests. A. cannot but admit B. cannot help to admit C. cannot but admitting D. cannot help but admitting
+【答案】：A
+【解析】：【详解】考查固定搭配。句意:我不得不承认你说的是实话,尽管那与我的利益相违背。固定短语cannot but do和cannot help but do都表示不得不,禁不住做某事,故选A项。。
+
+
+【题干】：The floor requires _, so the students are required _ the work. A. washing; to do B. to wash; doing C. washing; doing D. to wash; to do
+【答案】：A
+【解析】：【详解】考查动词require的用法。句意:地板需要清洗,所以学生们被要求去做这项工作。sth. require doing一般表示需要做某事,require sb. to do sth. 表示要求某人去做某事。两个都是require的固定用法,故选A项。。
+
+
+【题干】：Shan Tianfang devoted his whole life to the seemingly ordinary act of telling stories. _ the simple act created an extraordinary cultural legacy(遗产) that will doubtless live on. A. Therefore B. Moreover C. Otherwise D. However
+【答案】：A
+【解析】：【详解】考查副词词义辨析。句意:单田芳一生都致力于看似平凡的讲故事。因此,这个简单的艺术形式创造了一个非凡的文化遗产,它无疑将继续流传下去。A. Therefore因此;B. Moreover而且;C. Otherwise否则;D. However然而。分析句子可知,前后句意为承接关系。故选A。。
+
+
+【题干】：I don’t like _ you speak to her. A. the way that B. the way in that C. the way which D. the way of which
+【答案】：A
+【解析】：【详解】考查定语从句。句意:我不喜欢你和她讲话的方式。the way后的定语从句的引导词可以是that,in which或省略,故A项正确。。
+
+
+【题干】：Rather than _ there doing nothing, he prefers to help his colleagues with the preparation of the meeting. A. seat B. sit C. seating D. sitting
+【答案】：B
+【解析】：【详解】考查sit与seat的区别和固定结构。句意:与其坐在那里无所事事,他更愿意帮助同事们准备会议。prefer to do rather than do表示“宁愿做……而不愿做”,seat是及物动词,常用于be seated结构,sit是不及物动词,故B项正确。。
+
+
+【题干】：After a long and careful _. Greg saw, across a field, the dog moving _(cautiously)_ away. Ehlers eventually succeeded in coaxing the animal to him. A. preparation B. explanation C. test D. search
+【答案】：D
+【解析】：【详解】考查名词词义辨析。句意:经过长时间和仔细的搜索,Greg,越过田野,看到那条狗小心翼翼地走了。Ehlers最终成功地把这只动物哄给了他。A. preparation准备; B. explanation解释;C. test测试;D. search搜索。根据下文Greg在越过田野的地方看到了那只小狗可知,此处是指他们在仔细寻找小狗,search寻找。故选D。。
+
+
+【题干】：_ onto the top of Mount Tai, and you’ll see a beautiful landscape-a sea of clouds. A. Climbing B. To climb C. Climb D. If you climb
+【答案】：C
+【解析】：【详解】考查固定句型。句意:爬到泰山顶,你就可以看到美丽的风景——一片云海。根据句型:祈使句+and/or+陈述句 可知,此处应用动词原形。故选C项。【点睛】本题考查固定句型:祈使句+and/or+陈述句,and 表顺承,or意为“否则”。例如: Hurry up, and you will catch the bus.快点,你会赶上车。 Hurry up, or you won’t catch the bus.快点,否则你赶不上车。 这种句型一般考查三点: 祈使句中动词的形式:原型。Hurry up, and you will catch the bus 用and还是or连接:句意。Hurry up, and you will catch the bus 陈述句的时态:一般将来时。Hurry up, and you will catch the bus。
+
+
+【题干】：Additionally, China’s total expressway coverage reached 136,400 kilometers by the end of 2017, ranking first in the world, covering 97 percent of cities with _ population of 200,000 or above. A. the B. a C. her D. its
+【答案】：B
+【解析】：【详解】考查冠词。句意:此外,到2017年末中国的高速路覆盖面积达到了136400千米,位居世界第一,覆盖了97%的城市和200000或者更多的人口。根据句意,此处是人口的泛指,故用不定冠词a。故选B项。。
+
+
+【题干】：_ Elgar received many honours and much applause, he often considered himself a failure. A. Since B. Unless C. Even if D. As long as
+【答案】：C
+【解析】：【详解】考查状语从句连词辨析。句意:尽管Elgar收到了很多的荣誉和掌声,但是他常常认为他自己很失败。A. Since自从,因为;B. Unless除非;C. Even if尽管,即使;D. As long as只要。根据“many honours and much applause ”和“failure”可知,前后是转折关系。所以连词为even if。故选C项。。
+
+
+【题干】：The pen is made in German, and it _ smoothly. A. is written B. wrote C. has been written D. writes
+【答案】：D
+【解析】：【详解】考查时态和语态。句意:这只钢笔是德国制造,它写起来很流畅。根据is判断为一般现在时,“写起来流畅”是钢笔的特征,不强调动作,故用主动。故选D项。【点睛】本题考查表事物特征用主动,常见的词有write, sell, watch, spread, open等,例如: This kind of book sells well。这类书畅销。(畅销是书的特征) The cloth washes well。这布料好洗。(好洗是布料的特征)。
+
+
+【题干】：By the time Ron _ back to our rescue, most of us will have been washed away by the flood. We must take a quick measure to leave here as soon as possible. A. come B. comes C. came D. will come
+【答案】：B
+【解析】：【详解】考查时态。句意:等到Ron回来救我们,我们中很多人都已经被洪水冲走了。我们必须快速采取措施,尽可能快得离开这儿。根据most of us will have been washed这个将来完成时,判断Ron返回来的动作也发生在将来,但by the time引导的时间状语从句要遵循主将从现的原则,故此处用一般现在时表将来。故选B项。。
+
+
+【题干】：The football player has played in Germany for his entire career but is keen _ a move abroad. A. for B. at C. with D. on
+【答案】：D
+【解析】：【详解】考查固定短语。句意:这名足球运动员整个职业生涯都在德国踢球,但他渴望出国踢球。be keen on表示“渴望”,故D项正确。。
+
+
+【题干】：You don’t care if he practices singing for a while, _? A. do you B. don’t you C. does he D. doesn’t he
+【答案】：A
+【解析】：【详解】考查反意疑问句。句意:你不在乎他是否练习唱歌,是吗?反意疑问句遵循前肯后否原则,前一部分用否定形式,后一部分用肯定形式,根据“You don’t”可知此处用do you?故A项正确。。
+
+
+【题干】：I do remember _ the message, but I cannot find it now. Please send it again if you don’t mind. A. to receive B. receiving C. received D. being received
+【答案】：B
+【解析】：【详解】考查非谓语动词。句意:我确实记得收到过这条信息,但现在找不到了,如果你不介意的话,请再发一次。remember doing表示“记得做过某事”,故B项正确。【点睛】注意remember to do和remember doing的区别:前者表示“记得要去做某事”;而后者表示“记得做过某事”,试比较: ① Remember to take an umbrella in case it rains记得带雨伞以防下雨。 ② I remember taking my umbrella, but now I can't find it. 我记得我带伞了,但现在怎么也找不到了。。
+
+
+【题干】：He is an excellent student and scores _ average. A. below B. of C. on D. above
+【答案】：D
+【解析】：【详解】考查介词词义辨析。句意:他是一个非常出色的学生,分数在平均水平以上。A. below(average)平均水平以下;B. of(average)属于平均水平(一般后面要加名词);C. on(average)平均;D. above(average)平均水平以上。由 “He is an excellent student” 可知,此处表“在平均以上”,其固定表达为above average。故选D项。【点睛】average 的常用搭配有: On (the/an) average 平均;below average平均水平以下;above average 平均水平以上。
+
+
+【题干】：It is illegal for a public official to ask people for gifts or money _ favors to them. A. in preference to B. in place of C. in exchange for D. in agreement with
+【答案】：C
+【解析】：【详解】考查介词短语辨析。句意:政府官员以帮助他人为借口来换取钱财是违法的。A. in preference to优先于;B. in place of代替;C. in exchange for作为交换;D. in agreement with与…一致。府官员以帮助他人为借口来换取钱财是违法的,此处应译为“作为交换”。故选C项。。
+
+
+【题干】：The new manager promised to keep me _ of how our business was going on. A. to be informed B. on informing C. informing D. informed
+【答案】：D
+【解析】：【详解】考查非谓语动词的形式。句意:新经理承诺会通知我我们生意的进展情况。分析句子可知,此处应用非谓语动词。逻辑主语me和inform之间是动宾关系,故用过去分词形式。故选D项。【点睛】非谓语动词是考试考查的重点,要掌握它的用法。首先,要弄清楚填空处要填的是非谓语。其次,要知道非谓语动词的三种形式:现在分词表示主动进行、过去分词表示被动完成、动词不定式表示目的和将要。再次,要知道非谓语动作与谓语动作是同时发生还是先后发生,还是将要发生。 分析句子可知,此处应用非谓语动词。逻辑主语me和inform之间是动宾关系,故用过去分词形式。故选D。
+
+
+【题干】：I was very surprised at _ he spoke at the meeting. A. the way which B. the way on which C. the way D. in the way that
+【答案】：C
+【解析】：【详解】考查定语从句。句意:我对他在会议上讲话的方式感到很吃惊。the way作先行词时,是比较特殊的定语从句,一般不用分析定从成分,直接用that/in which/省略,故选项中C. the way符合,它省略了关系词。故选C项。【点睛】当way表示“方法,方式”,the way在定语从句中作先行词词,引导从句可用that/in which/不填。即: the way + that 例如:I don’t like the way that she laughs at me. the way + in which 例如:I don’t like the way in which she laughs at me. the way+句子(从句省略了that或in which)例如:I don’t like the way she laughs at me. 通常用in which最为正式,that次之,省略的情况最常用。。
+
+
+【题干】：It is because of you_I was blamed by my teacher. A. because B. since C. which D. that
+【答案】：D
+【解析】：【详解】考查强调句。句意:就是因为你,我才受到老师的责备。分析句子结构,去掉it is以及连词部分,剩下的句子成分完整。故本句为强调句结构“it is (was)+被强调成分+that (who)+其他”,故选D。【点睛】强调句结构。 为了突出句子中的某一部分,我们通常会使用某种方法或手段使它突出,以便能引起他人的注意,这就是强调,与此相关的句子就是强调句。强调句是一种修辞,是人们为了表达自己的意愿或情感而使用的一种形式。其结构为it is (was)+被强调成分+that (who)+其他。 1、陈述句的强调句型 It is/ was + 被强调部分(通常是主语、宾语或状语)+ that/ who(当强调主语且主语指人)+ 其他部分。 2、一般疑问句的强调句型,把is/ was提到it前面。 3、特殊疑问句的强调句型,被强调部分(通常是疑问代词或疑问副词)+ is/ was + it + that/ who + 其他部分? 4、not … until … 句型的强调句 句型为:It is/ was not until + 被强调部分 + that + 其他部分 普通句:He didn't go to bed until/ till his wife came back. 强调句:It was not until his wife came back that he went to bed. 注意:此句型只用until,不用till。但如果不是强调句型,till, until可通用;因为句型中It is/ was not ... 已经是否定句了,that后面的从句要用肯定句,切勿再用否定句了。。
+
+
+【题干】：It was already dark. Then,I wonder how she _ through the forest by herself. A. dared not to go B. dare going C. not dare to D. dared to go
+【答案】：D
+【解析】：【详解】考查固定用法。句意:天已经黑了。然后,我想知道她怎么敢一个人穿过森林。dare做情态动词时通用于所有人称,后接动词原形;用作实义动词时,跟其他动词一样,借助助动词构成否定句和疑问句。故选D。。
+
+
+【题干】：—Has your father finished writing his report yet? —I don’t know, but he _ it this morning. A. wrote B. has written C. had written D. was writing
+【答案】：D
+【解析】：【详解】考查过去进行时。句意:——你爸爸已经完成报告的写作了吗?——我不知道,但今天早上他正在写。根据句意可知,“写作”是“今天早上”这一段时间发生的,故用过去进 行时,主语he是三单,故用was writing。故选D项。。
+
+
+【题干】：Wine is the world's favorite drink enjoyed on almost every occasion where great times_ with friends. A. are being shared B. is shared C. shares D. share
+【答案】：A
+【解析】：【详解】考查主谓一致和被动语态。句意:葡萄酒是世界上最受欢迎的饮料,几乎在所有与朋友分享美好时光的场合都是如此。所填空在where引导的定语从句部分,从句主语是times,意为“时刻”,视为可数名词,即可数名词复数做主语,谓语动词用复数。此外与所选动词share之间应为被动关系,应用be done结构。故,选A项。。
+
+
+【题干】：Experts have found that the disease_ to a greater increase in the number of sufferers unless treated seriously when the symptom first appears. A. will lead B. leading C. leads D. is lead
+【答案】：A
+【解析】：【详解】考查时态和固定句式。句意:专家已经发现,除非在症状首次出现时得到认真治疗,否则这种疾病将导致患者人数增加。空所在的从句the disease _ to a greater increase in the number of sufferers unless treated seriously when the symptom first appears. 主语为the disease, 所填空应作谓语,从句中有unless引导的条件状语从句,且为一般现在时。遵循主将从现原则,所填动词应用一般将来时,will do结构。故选A项。。
+
+
+【题干】：While it is important to have enough evidence to solve problems, it is even more important_ the evidence be accurate. A. whether B. if C. that D. unless
+【答案】：A
+【解析】：【详解】考查主语从句。句意:虽然要有足够的证据来解决问题很重要,但更重要的是证据是否准确。分析句子可知,it is even more important _ the evidence be accurate.中,it为形式主语,真正的主语为_ the evidence be accurate 主语从句。因此,根据句意,强调的是证据是否重要。引导词应用whether。If 可以引导主语从句。故选A项。。
+
+
+【题干】：Much as he claims he _ a good taste of his own, he can't get rid of the influence of clever advertisements. A. had B. will have C. has D. is having
+【答案】：C
+【解析】：【详解】考查时态。句意:尽管他声称自我感觉良好,他也免不了被广告所影响。分析句子可知he _ a good taste of his own为claims的宾语从句中,若主句的时态为一般现在,从句的时态该是什么时态就用什么时态,此句应用来讲述客观事实。可以用一般现在时表达。故选C项。。
+
+
+【题干】：Peter, as well as his assistant,_a chemical experiment yesterday, but I wonder whether he has finished it. A. performed B. was performing C. had performed D. were performing
+【答案】：A
+【解析】：【详解】考查主谓一致和时态。句意:彼得和他的助手昨天做了一个化学实验,但我不知道他是否完成了。在A as well as B结构中,主语为A,因此谓语动词由A决定,由yesterday可知,时态为一般过去时。故选A项。。
+
+
+【题干】：Life is like an ocean; only _ strong-willed can reach the other shore. A. a B. the C. / D. that
+【答案】：B
+【解析】：【详解】考查冠词。句意:生活就像海洋;只有意志坚强的人,才能到达彼岸。此处是the+形容词,表示“一类人”,the strong-willed“意志坚强的人”。故选B。。
+
+
+【题干】：Experiments _ that children can be instructed in swimming at a very early age, as early as about two months. A. are proving B. will be proved C. are proved D. have proved
+【答案】：D
+【解析】：【详解】考查现在完成时态。句意:实验证明,儿童在很小的时候就可以学会游泳,最早两个月就可以了。此处表示“到现在为止已经得到的证明”,所以句子用现在完成时态,且主语是Experiments,名词复数,故选D。。
+
+
+【题干】：Information has been put forward _ more students will be admitted into universities. A. that B. while C. when D. as
+【答案】：A
+【解析】：【详解】考查同位语从句。句意:有消息说更多的学生将被大学录取。此处Information后面的more students will be admitted into universities.是其具体内容,句子不缺少任何成分,且句意完整。所以是that引导的同位语从句。故选A。。
+
+
+【题干】：The chairman thought _ necessary to invite Professor Johnson to speak at the meeting. A. that B. it C. this D. him
+【答案】：B
+【解析】：【详解】考查形式宾语。句意:主席认为有必要邀请约翰逊教授在会上发言。此处it是形式宾语,后面的动词不定式是真正的宾语,故选B。。
+
+
+【题干】：The bell rang _ he had time to dash into the classroom to take the exam. A. after B. before C. since D. until
+【答案】：B
+【解析】：【详解】考查时间状语从句。句意:他还没来得及冲进教室参加考试,铃就响了。A. after在……之后;B. before在……之前;C. since自从……以来;D. until直到……为止。根据语境,铃声是在他冲进教室之前,故选B。。
+
+
+【题干】：Hearing the dog breaking fiercely, _. A. the thief was running away B. away did the thief run C. the thief would run away D. away ran the thief
+【答案】：D
+【解析】：【详解】考查全部倒装。句意:听到狗猛烈地挣脱,小偷跑开了。表示方位的副词away位于句子开头,句子用全部倒装,且句子为一般过去时。故选D。。
+
+
+【题干】：_ energy under the earth must be released in one form or another, for example, earthquake. A. Accumulated B. Gathered C. Burdened D. Collected
+【答案】：A
+【解析】：【详解】考查过去分词。句意:地下积累的能量必须以某种形式释放出来,例如地震。A. Accumulated积累;B. Gathered聚集;C. Burdened把重担加于;D. Collected收集。此处Accumulate和energy之间是被动关系,用过去分词作前置定语,且符合语境。故选A。。
+
+
+【题干】：The figures in that report are not _.You’d better do more detective work yourself. A. delicate B. strict C. accurate D. fixed
+【答案】：C
+【解析】：【详解】考查形容词。句意:那份报告中的数字不准确。你最好自己多做些侦探工作。A. delicate微妙的,精美的;B. strict严格的;C. accurate精确的;D. fixed确定的。根据下文do more detective work yourself可知,报告数字不“准确”。故选C。。
+
+
+【题干】：I am used to traveling by air and only on one _ have I ever felt frighted. A. airport B. situation C. experience D. occasion
+【答案】：D
+【解析】：【详解】考查名词。句意:我习惯于乘飞机旅行,只有某一次我感到害怕。A. airport飞机场;B. situation境况;C. experience经历;D. occasion时机,机会,场合。这里表示“只有某一次的时候”,故选D。。
+
+
+【题干】：- You like the portable personal computer so much. Why not buy one? -Well, I can’t afford _ computer at present. A. such an expensive B. a such cheap C. that an expensive D. so a cheap
+【答案】：A
+【解析】：【详解】考查固定句式。句意:-你很喜欢便携式个人电脑。为什么不买一个啊?-好的,目前我负担不起如此贵的电脑。此处为固定句型:such+a/an+adj.+n.故选A。【点睛】so是副词,修饰形容词和副词;而such是形容词,修饰名词。 它们后面都接单数可数名词,但词序不同。 so的词序为:so+adj.+a(an)+n. such的词序为:such+a(an)+adj.+n. 它们可以表达同样的意思,因此它们可以进行同义改写。 so nice a coat=such a nice coat 这么漂亮的一件外套 so interesting a book=such an interesting book 那么有趣的一本书 注意:后面接复数名词或不可数名词时,只能用such,而不能用so。 例如: 例1:such beautiful flowers 这么美丽的花 例2:such clever children 如此聪明的孩子 但是,复数名词或不可数名词前有many,few,much,little修饰时,只能用so而不能用such,这是一种固定用法。。
+
+
+【题干】：I had somehow_ it for granted that he should go out with his union. A. looked B. taken C. held D. passed
+【答案】：B
+【解析】：【详解】考查固定句式。句意:不知怎么的,我理所当然认为他应该和他的会员们一起外出。根据句意可知此处考查固定句型:take it for granted that认为…理所当然。故选B。。
+
+
+【题干】：Mike gave me a lovely kitty and told me that it required _ carefully. A. being looked after B. looked after C. looking after D. to look after
+【答案】：C
+【解析】：【详解】考查动词搭配。句意:麦克给了我一个可爱的kitty玩具,并且告诉我它需要认真对待。此处require后跟doing,相当于to be done,故选C。【点睛】need, want, require 后接不定式还是动名词 这三个动词均可表示“需要”,其后接不定式和动名词均可,且意义相同,但是所有语态有所不同:接动名词时要用主动式表示被动含义,而接不定式时则要用被动形式表示被动含义。如: The room needs cleaning.=The room needs to be cleaned.这房间需要打扫了。 The room needs cleaning.=The room needs to be cleaned.这房间需要打扫了。 例如本题中,句意:麦克给了我一个可爱的kitty玩具,并且告诉我它需要认真对待。此处require后跟doing,相当于to be done,故选C。。
+
+
+【题干】：I had just finished my test paper _ the bell rang, announcing the exam was over. A. unless B. when C. because D. though
+【答案】：B
+【解析】：【详解】考查连词辨析。句意:我刚刚完成试卷这时铃响了,宣布考试结束了。A. unless除非;B. when当….时,这时;C. because因为;D. though尽管。根据句意可知B选项符合句意。故选B。。
+
+
+【题干】：I ran all the way to the post office, only _ that it had closed. A. finding B. having found C. to find D. to be found
+【答案】：C
+【解析】：【详解】考查不定式做结果状语。句意:我一路跑着去邮局,结果发现它已经关门了。根据句意可知此处为不定式作结果状语,表“出乎意料的结果”。故选C。。
+
+
+【题干】：We _ each other since childhood. A. have known B. knew C. know D. are knowing
+【答案】：A
+【解析】：【详解】考查现在完成时。句意:从儿童时期我们就是彼此认识。根据题干中的时间状语since childhood可知此处应用现在完成时。故选A。。
+
+
+【题干】：Many years’ _ of teaching foreign languages has made him a very _ teacher A. experience, experienced B. experiences, experiencing C. experiences, experienced D. experience, experiencing
+【答案】：A
+【解析】：【详解】考查名词和形容词。句意:多年的外语教学经验使他成为一位经验丰富的教师。experience表示“经验”是不可数名词;experienced“有经验的”,是形容词,修饰名词。故选A。。
+
+
+【题干】：_ arriving at the airport, we were given a warm welcome by our friends. A. With B. At C. Upon D. Until
+【答案】：C
+【解析】：【详解】考查介词。句意:一到机场,我们就受到了朋友们的热烈欢迎。固定搭配:on/upon +名词或动名词,“一-就”。故选C项。。
+
+
+【题干】：I don’t like the way _ you speak to your mother but I like the way _ you think of to solve the problem. A. which, which B. in which, in which C. 不填, that D. 不填, in which
+【答案】：C
+【解析】：【详解】考查定语从句。句意:我不喜欢你对你母亲说话的方式,但我喜欢你解决问题的方式。此处第一个空中the way是先行词,在后面的定语从句中作方式状语,用that/in which或省略引导词;第二空the way是先行词,在后面的定语从句中作宾语,用that/which或省略。故选C项。。
+
+
+【题干】：Not knowing what to _ the newborn baby, the young lady called her mother for help. A. attend to B. do with C. deal with D. provide for
+【答案】：B
+【解析】：【详解】考查动词短语辨析。句意:那位年轻的女士不知道该如何对待新生的婴儿,便打电话向她的母亲求助。A. attend to照顾;B. do with处理;C. deal with处理,涉及;D. provide for供给,奉养。动词短语do with和what连用,表示“如何处理……”;动词短语deal with和how连用,表示“如何处理……”。此处是what to,故选B项。。
+
+
+【题干】：_ you have been sitting in front of the computer for two hours, you’d better take a break. A. Even if B. Though C. Now that D. Unless
+【答案】：C
+【解析】：【详解】考查状语从句。句意:既然你已经在电脑前坐了两个小时了,你最好休息一下。A. Even if 即使;B. Though尽管;C. Now that既然;D. Unless除非。此处是now that引导的原因状语从句,故选C项。。
+
+
+【题干】：“I get everything all beautifully planned out and it has to go and rain,” Wilbur _. A. sighed B. frightened C. upset D. struggled
+【答案】：A
+【解析】：【详解】考查动词词义辨析。句意:“我把一切都安排得很好,天要下雨,”威尔伯叹了口气。A. sighed叹气;B. frightened使害怕;C. upset使心烦;D. struggled奋斗,努力。因为天要下雨,所以“叹气”。故选A项。。
+
+
+【题干】：Fern sat and stared out of the window, thinking how lucky she was to have entire _ of a pig. A. charge B. command C. control D. devotion
+【答案】：A
+【解析】：【详解】考查名词。句意:弗恩坐在那儿,望着窗外,想着自己能完全拥有一头小猪,该是多么幸运啊。A. charge掌管;B. command命令;C. control控制;D. devotion忠诚,奉献。此处指自己“拥有”一头小猪。故选A项。。
+
+
+【题干】：If you turn off the lights, the screen of the computer _ be more clear. A. must B. has to C. is to D. can
+【答案】：D
+【解析】：【详解】考查情态动词。句意:如果你把灯关掉,电脑的屏幕可能会更清晰。A. must必须;B. has to不得不;C. is to将要;D. can可能。此处表示一种客观事实的推测,“可能”,故选D项。。
+
+
+【题干】：- Dear, Wendy is too full to eat your food. - _. She simply hates my cooking. A. I’ll give you that B. I don’t get it C. Don’t give me that D. You’ve got me there
+【答案】：C
+【解析】：【详解】考查情景交际及习惯表达。句意:——亲爱的,温迪太饱了,吃不下你的东西。——别跟我胡扯。她就是讨厌我做的饭。A. I’ll give you that我承认你说的对;B. I don’t get it我不明白;C. Don’t give me that少来这套,别跟我胡扯;D. You’ve got me there你说对了。根据She simply hates my cooking可知,温迪不是真的吃饱了,而是“不愿吃我做的饭”。故选C项。。
+
+
+【题干】：At the request of audience, the show has been _ for another six weeks. A. abolished B. extended C. expanded D. omitted
+【答案】：B
+【解析】：【详解】考查动词词义辨析。句意:应观众的要求,演出又延长了六周。A. abolished废除;B. extended延长,扩充;C. expanded扩大;D. omitted遗漏,省略。extend 指时间或空间的延长,这里指时间“六周”的延长。故选B项。。
+
+
+【题干】：I am feeling too tired to drive any more. Will you _? A. take off B. take on C. take out D. take over
+【答案】：D
+【解析】：【详解】考查动词短语辨析。句意:我感觉好累不能继续开车了。你能不能接替我开?A. take off脱下;B. take on承担,呈现;C. take out取出,去掉;D. take over接管,接收。根据短语意思可知,这里是“接替”之意。故选D项。。
+
+
+【题干】：They _ the plan for a week, but no decision has _. A. have been discussing;made B. have been discussing; been made C. have been discussed;been made D. are discussing;been made
+【答案】：B
+【解析】：【详解】考查时态和语态。句意:他们已经讨论这个计划一个星期了,但是还没有做出决定。第一空表示一直在讨论这个动作,至今还没停止,用现在完成进行时。目前还没有做出决定,故用现在完成时,与主语是被动关系,用现在完成时的被动。故选B项。。
+
+
+【题干】：My father is considering _ a computer, which is considered _ a great help in our work and study. A. to buy; to be B. buying; being C. buying; to be D. to buy; being
+【答案】：C
+【解析】：【详解】考查动词的固定结构和语态。句意:我在考虑买一台电脑,电脑被认为是对我的工作和学习是非常有帮助的。常用短语consider doing sth考虑做某事,被动结构是be considered to do表示“被认为……”,故选C项。【点睛】consider的用法: 1. consider doing sth. 考虑做某事 例句:I am considering going or not. 我正在考虑要不要去。 2. 没有consider to do sth. 这个用法。当consider被用作被动语态的时候可以加不定式,be considered to do表示“被认为……”,例句: China is considered to be one of the best places for tourists. 中国被认为是最好的旅游地区之一。 拓展: consider what to do / how to do sth 考虑做什么/考虑如何做某事 例句: I am considering what to do after supper. 我在考虑吃过晚饭做些什么。 I am considering how to pass this exam. 我在考虑该怎么通过这次考试。 本题中结合句意可知,考查了consider的两种用法 。。
+
+
+【题干】：The rain poured down for hours on _ end, and finally came to _ end. A. /; an B. the, an C. /; / D. an; an
+【答案】：A
+【解析】：【详解】考查冠词。句意:雨连续下了好几个小时,终于停了。固定短语on end连续地;come to an end结束,告终。故选A项。。
+
+
+【题干】：_by online games, he manages to keep himself from being addicted to them. A. Fascinated as he is B. Fascinated as is he C. As fascinated is he D. As he is fascinated
+【答案】：A
+【解析】：【详解】考查倒装句。句意:虽然他对网络游戏很着迷,但他设法不让自己沉迷其中。as引导的让步状语从句中应将表语前置,fascinated在从句中作is的表语,应提到as之前构成倒装语序,相当于Though/Although he is fascinated。故选A。【点睛】部分倒装 部分倒装是指将谓语的一部分(多为助动词或情态动词)置于主语之前。如果句中的谓语没有助动词或情态动词,则需添加助动词do, does或did,并将其置于主语之前。 (1)表示否定意义的副词、介词短语和连词放在句首时要部分倒装。此类副词或连词主要有no, not, never, seldom, little, hardly, at no time, in no way, not only…but also…, hardly…when…, no sooner…than…, not until…等。如: Never have I seen such a performance. 我从未见过这样的表演。 Not until the child fell asleep did the mother leave the room. 直到孩子睡着了,母亲才离开房间。 No sooner had I got home than it began to rain. 我刚到家就开始下雨了。 (2)当so/neither/nor位于句首时,表示“也”、“也不”,可将其后与前面重复的谓语部分置于主语之前,构成部分倒装。如: Tom can speak French. So can Jack. 汤姆会说法语。杰克也可以。 If you won’t go, neither will I. 如果你不去,我也不去。 (3)only修饰状语时的部分倒装 “only+状语/状语从句”位于句首时,句子的主语和谓语或主句中的主语和谓语要部分倒装。如: Only in this way can you learn English well. 只有以这种方法,我们才能学好英语。 Only after being asked three times did he come to the meeting. 他被问了三次才来参加会议。 Only when he returned did we find out the truth. 只有当他回来时,我们才查明了真相。 (4)在so… that…句式中,如果so位于句首,主句中的主语和谓语需部分倒装。如: So frightened was he that he did not dare to move an inch. 他太害怕了以至于一动也不敢动。 (5)在虚拟条件句中,从句谓语动词有were, had, should等词,if可省略,将were, had, should移到主语之前,构成部分倒装。如: Were I you, I would try it again. 如果我是你,我会再试一次。 (6)as/though引导让步状语从句时置于句首时,采用形式倒装,即把强调的内容提至句首,主谓并不倒装。如: ①表语的倒装 Tired as/though he was, he still went on with his work. 尽管他很累,他还是继续工作。 ②谓语动词的倒装 Try as he might, he didn’t pass the exam. 尽管很用功,但他考试还是不及格。 ③状语的倒装 Much as he likes the bike, he doesn’t want to buy it. 他虽然很喜欢那辆自行车,但不想买它。 注意:如果是单数名词或形容词的最高级作表语,不再用冠词。如: Child as he is, he knows a lot. 尽管他是孩子,但他懂得很多。 Youngest as he is in our class, he speaks English the best. 他虽然是我们班年龄最小的,但英语说得最好。。
+
+
+【题干】：I’m sorry, but you _ go wrong. There’s no such man here. A. need B. can C. must D. will
+【答案】：C
+【解析】：【详解】考查情态动词。句意:很抱歉,但是你一定是弄错了。这儿没有这么个人。A. need需要;B. can能够;C. must必须;D. will将会。must指有把握的推测,“一定;必定”,结合下文There’s no such man here.可知一定是弄错了。故选C。。
+
+
+【题干】：Some 76,300 high school students went abroad for their education, _ 23 percent of all the Chinese students studying abroad. A. taking up B. taken up C. to take up D. having taken up
+【答案】：A
+【解析】：【详解】考查非谓语动词。句意:约有76300名高中生出国接受教育,占中国留学生总数的23%。76,300 high school students与take up之间是逻辑上的主谓关系,表示主动,用现在分词作状语,非谓语表示的动作与谓语动作是同时发生的,故A项正确。。
+
+
+【题干】：At about 7 pm, I finally arrived at my subway station, _ and aching. A. tiring B. being tired C. tired D. having been tired
+【答案】：C
+【解析】：【详解】考查形容词作状语。句意:晚上7点左右,我终于到了地铁站,又累又痛。此处说明主语的状态,用形容词作状语,tired是由过去分词转换而来的形容词,表示“累的”,故C项正确。。
+
+
+【题干】：What he said was beyond my expectation and I found myself _ straight at him. A. staring B. stared C. to stare D. having stared
+【答案】：A
+【解析】：【详解】考查非谓语动词。句意:他说的话出乎我的意料,我发现自己直盯着他看。find sb doing表示“发现某人正在做某事”,故A项正确。。
+
+
+【题干】：In the study, 145 people _ between 19 and 32 were asked to list as many unusual uses as possible for everyday objects. A. aging B. age C. aged D. being aged
+【答案】：C
+【解析】：【详解】考查非谓语动词。句意:在这项研究中,145名年龄在19到32岁之间的人被要求列出尽可能多的日常用品的不寻常的用途。people与age之间是逻辑上的动宾关系,表示被动,用过去分词作后置定语,故C项正确。。
+
+
+【题干】：_ that he didn’t pass the exam, he felt extremely sad. A. Telling B. Having told C. To be told D. Having been told
+【答案】：D
+【解析】：【详解】考查非谓语动词。句意:听说他考试不及格,他感到非常难过。he与tell之间是被动关系,而且tell这一动作发生在felt之前,所以用现在分词的完成被动式作状语,故D项正确。。
+
+
+【题干】：The mother was angry because her 10-year-old son wasn’t allowed _ water in class. A. drinking B. to drink C. drink D. drunk
+【答案】：B
+【解析】：【详解】考查非谓语动词。句意:那位母亲很生气,因为她10岁的儿子不被允许在课堂上喝水。be allowed to do sth.表示“被允许做某事”,故B项正确。。
+
+
+【题干】：It says that people can say anything they want without _ by the government, as long as they are not encouraging crime or making true threats. A. punishing B. punished C. being punished D. to be punished
+【答案】：C
+【解析】：【详解】考查非谓语动词。句意:它表示,只要人们不鼓动犯罪或制造真正的威胁,他们想说什么就说什么,而不必受到政府的惩罚。without后接动名词作宾语,they与punish之间是被动关系,所以用动名词的被动式作宾语,故C项正确。。
+
+
+【题干】：Harry Potter impressed children _ his bravery and wisdom. A. with B. on C. upon D. for
+【答案】：A
+【解析】：【详解】考查固定短语。句意:哈利·波特以他的勇敢和智慧给孩子们留下了深刻的印象。固定短语impress sb. with sth.“用……给人留下深刻印象”,介词搭配为with。故选A。。
+
+
+【题干】：Eric runs in after the ball, _ by a big dog, _ very slowly. A. following; walking B. followed; walked C. following; walked D. followed; walking
+【答案】：D
+【解析】：【详解】考查非谓语动词。句意:Eric跟着球跑了进来,身后跟着一只大狗,走得很慢。本题考查过去分词作状语和现在分词作状语。此处意为“Eric身后跟着狗,走得很慢”,作伴随状语,Eric 和 follow 之间为被动关系,故用过去分词;结合前面的 runs in after 可知,Eric 在跑,所以 _ very slowly 表达“狗走得很慢”,dog 和 walk 之间为主动,故用现在分词。故正确答案为D。。
+
+
+【题干】：_ the earthquake, a lot of people in Sichuan lost their homes, becoming homeless. A. As a result B. Result from C. Because D. As a result of
+【答案】：D
+【解析】：【详解】考查短语辨析。句意:由于地震,许多四川人失去了家园,无家可归。A. As a result结果;因此,副词用法,意为“结果是”,后面指事情的结果;B. Result from起因于;由……造成,动词短语做谓语;C. Because因为,后跟原因状语从句;D. As a result of因此;作为……的结果,后跟名词、代词。此处需要状语,且根据下文the earthquake为名词,故选D。。
+
+
+【题干】：The windows _ up to now, and you need not wash again. A. is washed B. were washed C. have been washed D. will be washed
+【答案】：C
+【解析】：【详解】考查动词时态语态。句意:窗户已经洗过了,你不必再洗了。根据下文up to now和“ you need not wash again”可知,现在不必洗了,说明已经清洗过了,应用现在完成时,表示过去发生的动作对现在造成的结果,且主语windows与谓语动词构成被动关系,故用现在完成时的被动语态。故选C。。
+
+
+【题干】：Jim was able to _ his anger and avoided a fight. A. hold on B. hold up C. hold out D. hold back
+【答案】：D
+【解析】：【详解】考查动词短语辨析。句意:吉姆忍住了怒气,避免了一场打斗。A. hold on等一下;B. hold up举起;阻挡;C. hold out坚持抵抗;D. hold back忍住;抑制。根据后文avoided a fight可推知,是忍住了气,故选D。。
+
+
+【题干】：24. Too much stress does you harm _no stress makes you achieve little. A. or B. because C. since D. while
+【答案】：D
+【解析】：【详解】考查连接词辨析。句意:太多的压力会伤害你,而没有压力会让你一事无成。A. or或者;B. because因为;C. since既然;D. while然而;当……时候。本句中连接两个并列句子,表示“对比”关系。故选D。【点睛】while 用作连词时,有以下几种含义: 1. 意为“当……时候”,引导时间状语从句。 2. 意为“虽然,尽管”,引导让步状语从句。 3. 连接两个并列句子,表示“对比”关系。 二、 while 引导状语从句时,应注意以下几点: 1. while 引导的时间状语从句既可放在句首,也可放在句末;而 while 引导的让步状语从句一般放在句首,不放在句末。另外,也可以从意义上加以区分。 2. while 引导让步状语从句时,如果从句的主语和主句的主语相同,那么从句的主语和谓语动词 be 都可以省略。 3. while 和 when 都可以引导时间状语从句,但应注意: while 引导的时间状语从句中的谓语动词必须是延续性的动词;而 when 引导的时间状语从句中的谓语动词既可以是延续性动词,也可以是非延续性动词.当时间状语从句中的谓语动词是延续性动词时, while 和 when 可以互相替换。 4. while 引导的状语从句还可以表示“某个动作正在进行的同时,另一个动作也在进行之中”。。
+
+
+【题干】：_ be sent to work there when you are away? A. Who do you suggest who should B. Do you suggest who should C. Who do you suggest D. Do you suggest whom should
+【答案】：C
+【解析】：【详解】考查虚拟语气。句意:你建议你不在的时候派谁去那里工作?句中的do you suggest用作插入语,置于特殊疑问词之后,且suggest作“建议”解时其后的宾语从句必须用虚拟语气,谓语动词用should+动词原形,此用法中的should往往省略。故选C。【点睛】后接虚拟语气的常见词 1)在 insist, order, command, suggest, propose, advise, desire, demand, require, request, order, prefer, propose, recommend 等表示“命令,决定,建议”等动词以及由这些动词引申的名词或形容词引导的 that 从句中,要用虚拟语气,其谓语动词形式为 should + 动词原形,其中 should 可以省略,主句中的时态不限。 例如:He ordered that all the books be sent at once. She insisted that she go to the south for her holiday. 2)类似用法的还有 advisable, appropriate, desirable, essential, fitting, imperative, important, impossible, necessary, obligatory, proper 等形容词;decision, decree, demand, instruction, order, requirement, resolution 等名词。其后引导的 that 从句均用虚拟语气,其谓语动词形式为 should + 动词原形,其中 should 可以省略,主句中的时态不限。例如: It was appropriate that this tax be abolished. Their decision was that the school remain closed. 3)请注意,当这些词语不是用于表示“命令,决定,建议”的含义时,所引导从句不用虚拟语气。。
+
+
+【题干】：The details of costs and prices are _, as no one knows exactly what is included and what is not. A. arbitrary B. authentic C. ambiguous D. artificial
+【答案】：C
+【解析】：【详解】考查形容词词意辨析。句意:成本和价格的细节是模糊的,因为没人确切地知道包括什么,不包括什么。A. arbitrary武断的;B. authentic真实的;C. ambiguous模糊的,模棱两可的;D. artificial人造的。根据后一句as no one knows exactly what is included and what is not.可知,因为没人确切地知道包含和未包含什么,所以细节是“模糊的”。故选C项。。
+
+
+【题干】：The expression “add oil” has enjoyed so much popularity in the past years, _ was collected into the OED last month. A. that B. which C. as D. when
+【答案】：B
+【解析】：【详解】考查非限制性定语从句。句意:在过去几年里“加油”这个说法很流行,它上个月被收录进了牛津英语词典。分析句子结构可知,此处是非限制性定语从句,从句_ was collected into the OED last month.缺少主语,所以用关系代词,先行词为add oil,指物,故用关系代词which。故选B项。【点睛】定语从句解题步骤:找出先行词;分析定语从句成分(确定关系词);考虑特殊情况 The expression add oil has enjoyed so much popularity in the past years, _ was collected into the OED last month. 1)先行词是:add oil(指物) 2)定语从句: _ was collected into the OED last month.缺少主语,使用关系代词 3)因为是非限制性定语从句,排除关系代词that 最后得出用关系代词which。
+
+
+【题干】：The two men were _ the heavy trunk for nearly ten minutes, trying to get it up the stairs. A. toying with B. interfering with C. wrestling with D. conflicting with
+【答案】：C
+【解析】：【详解】考查动词短语辨析。句意:两个男人用了将近10分钟,费力地想把这个树干往台阶上推。A. toying with玩弄;B. interfering with干扰;C. wrestling with全力做某事;D. conflicting with与……冲突。此处表示“用尽全力做某事”。故选C项。。
+
+
+【题干】：Our tutor would listen to us reading our essays aloud, but rarely, _, commented on them. A. if ever B. if any C. if possible D. if anything
+【答案】：A
+【解析】：【详解】考查if的省略句。句意:如果曾经有的话,我们的导师也很少对我们的朗读作评论。根据句意可知,前面有rarely,后面用if ever,表示如果曾经有的话也很少。故选A项。。
+
+
+【题干】：—Do you know Melinda was dismissed for her casual attitude towards job? —No doubt I tried to be pleasant to her but she _. A. gave me the cold shoulder B. made my day C. cost me the earth D. pulled my leg
+【答案】：A
+【解析】：【详解】考查习惯表达。句意:——你知道Melinda因为松懈的工作态度被开除了吗?——难怪,我试图逗她的时候,她对我很冷淡。A. gave me the cold shoulder对某人冷淡;B. made my day令我开心;C. cost me the earth使我失去了一切;D. pulled my leg开玩笑,拖后腿。根据上一句Melinda was dismissed可知,被开除后心情肯定不好,待人也会冷淡,故选A项。。
+
+
+【题干】：When the famous pianist turns thirty, he _ the piano for more than twenty years. A. plays B. will play C. has been playing D. will have been playing
+【答案】：D
+【解析】：【详解】考查将来完成进行时。句意:当这位著名的钢琴家30岁时,他将已经演奏钢琴超过20年。分析句子可知,when引导的时间状语要遵循主将从现的规则,从句When the famous pianist turns thirty是一般现在时,则主句用将来时,再根据句意,可知他现在以至于到将来都在弹钢琴,故用将来完成进行时will have been doing。故选D项。【点睛】将来完成进行时的结构为:will have been doing 将来完成进行时的意义为:现在到将来的某一时间段内一直做某事,没有停过(一般后面有时间段的限制,补充,说明,所强调的是持续的状态) 例如本句,When the famous pianist turns thirty, he _ the piano for more than twenty years. 这个钢琴家现在弹钢琴,在以后的20年里也会弹下去,而且句中for more than twenty years.是段时间的说明,故用将来完成进行时will have been playing。。
+
+
+【题干】：—Why don’t you share the bill and go Dutch? —I couldn’t possibly allow it. _. A. You asked for it B. It’s on me C. You name it D. It’s a deal
+【答案】：B
+【解析】：【详解】考查情景交际及习惯表达。句意:——你们为什么不分摊账单,各付各呢?——我不会允许的,今天我请客。A. You asked for it自讨苦吃;B. It’s on me我请客;C. You name it你要什么尽管讲;D. It’s a deal成交。根据前文I couldn’t possibly allow it.可知,第二个人是请客,故选B项。。
+
+
+【题干】：The national park has a large collection of wildlife, _ from butterflies to elephants. A. to range B. ranged C. ranging D. being ranged
+【答案】：C
+【解析】：【详解】考查现在分词作状语。句意:国家公园里有许多的野生动物,包括从蝴蝶到大象等等。这句话中谓语动词为has,所以空格处的填非谓语动词。“range from…to…”意为“从……到……(的范围)”,与其逻辑主语a large collection of wildlife之间是主动关系,所以用现在分词作状语。故选C。。
+
+
+【题干】：It worried her a bit _ her hair was turning grey. A. what B. that C. which D. while
+【答案】：B
+【解析】：【详解】考查主语从句。句意:让她十分担忧的是她的头发越来越白了。这是一个由It作形式主语的主语从句,真正的主语是her hair was turning grey(她的头发越来越白了),且这句话是一个完整的陈述句,所以连接词选that。故选B。。
+
+
+【题干】：I _ thank you too much for all your help to my son while we were away from home. A. won’t B. shouldn’t C. can’t D. needn’t
+【答案】：C
+【解析】：【详解】考查固定句型中的情态动词。句意:我们不在家时候你给我儿子的帮助,我感激不尽。情态动词can’t与too 构成固定句型“can’t/couldn’t…too…”,意为“再……都不为过”,符合句意,故选C。。
+
+
+【题干】：The teacher tried his best to create an atmosphere _ his students can communicate with each other freely. A. which B. where C. that D. as
+【答案】：B
+【解析】：【详解】考查定语从句。句意:这位老师尽力创造一种学生能自由地互相交流的氛围。这是一个定语从句,先行词为an atmosphere,指物,并且其在从句中做地点状语,故选B。【点睛】定语从句中关系词的选择方法:一找二还三替换。找:先把句子分为主句和从句两部分,再找出先行词和关系词;还:根据先行词的意思,大胆地把定语从句还原成一句完整的话;替换:用关系词替换定语从句中还原后添加的部分,作主语和宾语用关系代词,作状语用关系副词。时间状语用when,地点状语用where,原因状语用why。例如本题中,先行词为an atmosphere,并且其在从句中做地点状语(in the atmosphere),所以选用关系副词where。。
+
+
+【题干】：We are having a meeting in half an hour. The decision _ at the meeting will influence the future of our company. A. being made B. made C. having been made D. to be made
+【答案】：D
+【解析】：【详解】考查不定式作定语。句意:半小时后我们开会。会上的决定将会影响我们公司的未来。由于会议还没有开始,所以决定也是即将要做的决定,还没有成为现实。所以用不定式作定语。decision与make之间是被动关系,所以用不定式的被动语态。故选D。【点睛】非谓语动词作定语时的选择主要看被修饰词与该词之间的逻辑关系。作定语的非谓语动词和被修饰词构成主动关系时,用现在分词形式;构成被动关系时,用过去分词形式;表示将来特定某一次时,用动词不定式形式。例如本题中,根据句意,特指半小时后会议上将要达成的决定,所以选用不定式作定语。。
+
+
+【题干】：The two passengers occupying seats were reported from taking trains for 180 days. A. to be banned B. to have been banned C. being banned D. having been banned
+【答案】：B
+【解析】：【详解】考查动词不定式。句意:据报道,占据座位的两名乘客被禁止乘坐火车180天。be reported to have done sth.“被报道已经做某事”,且句子主语The two passengers和ban之间是被动关系,所以这里用动词不定式完成式的被动式,故选B。。
+
+
+【题干】：Then_, each waiting for the others to let the cat out of the bag. A. did the silence come B. came the silence C. the silence came D. has the silence come
+【答案】：B
+【解析】：【详解】考查全部倒装。句意:接着是一片寂静,每个人都在等着别人把秘密泄露出去。此处表示时间的副词位于句子开头,句子用全部倒装,再根据then“那时”,可知句子用一般过去时态。故选B。【点睛】全部倒装 1) here, there, now, then, thus等副词置于句首, 谓语动词常用be, come, go, lie, run等表示来去或状态的动词。例如:Then came the bus. / Here is your letter. 2) 表示运动方向的副词或地点状语置于句首,谓语表示运动的动词。 Out rushed a boy。/Ahead sat an old woman. 但如果主语是人称代词,不能要倒装,比如:Here you are. Away they went.。
+
+
+【题干】：-Do you like the mobile game Traveling Frog? -Yes, the posts about the virtual green frog_ over 4 million times. A. have read B. have been read C. would be read D. are reading
+【答案】：B
+【解析】：【详解】考查时态和语态。句意:——你喜欢手机游戏旅行青蛙吗?——是的,关于虚拟绿蛙的帖子已经被阅读了400多万次。The posts和read是被动关系,用被动语态,“已经被阅读过了”用完成时态,故选B。。
+
+
+【题干】：The Roma originally lived in northern India in _ is now Pakistan, and later tried in vain to settle down _ they could live and trade peacefully. A. where; where B. which; in which C. which; where D. what; where
+【答案】：D
+【解析】：【详解】考查宾语从句和地点状语从句。句意:吉普赛人最初生活在印度北部,也就是现在的巴基斯坦,后来他们试图在那里定居,并进行和平贸易,但没有成功。第一空是介词in后面的宾语从句,从句缺少引导词,又缺少主语,所填词其双重作用,what表示“……的地方”,所以第一空填what;第二空表示地点,作地点状语,故用where引导。故选D。。
+
+
+【题干】：-The authority concerned must have taken stricter measures to ensure traffic safety next year, _it? -Yes, definitely. A. didn’t B. mustn't C. hasn't D. won't
+【答案】：C
+【解析】：【详解】考查反意疑问句。句意:——有关部门一定采取了更严格的措施来确保明年的交通安全,是吧?——是的,的确。当must have done强调动作的完成(一般没有明确的过去时间状语),问句要用“haven’t/hasn’t+主语”。故选C。。
+
+
+【题干】：He looks excited because his parents _ to her birthday party this weekend. A. come B. have come C. are coming D. could come
+【答案】：C
+【解析】：【详解】考查进行时表将来。解题步骤:1.确定时态:根据this weekend判断父母来的动作还未发生,故用一般将来时,又表示位移的词可以用进行时表将来。句意:他看上去很兴奋,因为他的父母这周末要来他的生日派对。故选C。。
+
+
+【题干】：—Look at that beautiful sky! —It looks like it _ a wonderful day. A. was B. will be C. is going to be D. would be
+【答案】：C
+【解析】：【详解】考查be going to句型。解题步骤:1.确定时态:联系问句和答句可知,空格处应用一般将来时,此处用be going to do表根据情况判断将来会发生某事。句意:—看美丽的天空。—似乎会是个晴天。故选C。。
+
+
+【题干】：I wonder if she _ us, but I think if she _ us we will be able to complete the task ahead of time. A. helps; helps B. will help; has helped C. helps; will help D. will help; helps
+【答案】：D
+【解析】：【详解】考查时态。解题步骤:1.确定从句类型:第一空从空格到us是if引导的宾语从句;第二空从空格到句末是if引导的条件状语从句。2.确定各从句时态:第一空宾语从句中“她帮我们”的动作还未发生,故用一般将来时;第二空条件状语从句中,因为主句we will be able to complete the task ahead of time是一般将来时,故从句用一般现在时表将来。句意:我想知道她是否会帮我们,但是我认为如果她帮我们,我们可以提前完成这个任务。故选D。。
+
+
+【题干】：Can you tell me _? I haven’t seen you for years. A. where have you gone B. where have you been C. where you have been D. where you have gone
+【答案】：C
+【解析】：【详解】考查宾语从句语序和动词辨析。解题步骤:1. 确定从句:根据tell sb sth(告诉某人某事)可知,从空格到符号。2. 确定语序:where引导宾语从句应用陈述句语序。3. 确定选项意思:have been表示“曾经去过哪儿”,have gone表示“到某地去了(人已不在此地)”。结合语境可知“你”已经回来,故用have been。句意:你能告诉我你去哪儿了吗?我已经几年没看见你了。故选C。。
+
+
+【题干】：Most domestic car rental reservations can be canceled with no penalty _ you find a better rate even on the day of the trip. A. may B. shall C. would D. should
+【答案】：D
+【解析】：【详解】考查should在if虚拟语气的用法。句意:大多数国内租车预订可以取消,如果你找到了一个更好的价格,即使是在旅行当天,也没有罚款。此处表示与将来事实相反的假设,从句用should+do,本句省略了if,故把should提前到主语前面,构成省略倒装。故选D。【点睛】should用于if引导的从句中,if可省略,should提前到句首,表示与将来事实可能相反的假设。如:If it should rain tomorrow, we would stay home.= Should it rain tomorrow, we would stay home.如果明天下雨,我们就呆在家里。。
+
+
+【题干】：You can cite examples to _ the importance of being participants rather than _ onlookers in life. A. illustrate…vague B. illustrate…mere C. involve…vague D. involve…mere
+【答案】：B
+【解析】：【详解】考查动词和形容词词义辨析。句意:你可以举出例子来说明在生活中成为参与者而不是旁观者的重要性。动词illustrate意为“举例,阐明”;动词involve意为“牵涉,包含”。形容词mere意为“仅仅的,只不过的”;形容词vague意为“模糊的,不确定的”。根据examples可知用动词illustrate,根据being participants rather than可知用形容词mere修饰名词onlookers。故选B。。
+
+
+【题干】：A student activist at the time, toyed with communism, rebelling against Germany’s postwar elites which, as he put it,“still _ of the Nazis”—only to become part of the country’s cultural mainstream. A. echoed B. tempted C. assembled D. stank
+【答案】：D
+【解析】：【详解】考查动词词义辨析。句意:他当时是一名学生激进分子,玩弄共产主义,反抗德国战后精英,用他的话说,这些精英“仍然散发着纳粹的臭味”,后来成为德国文化主流的一部分。A. echoed重复;B. tempted引诱;C. assembled集合,装备;D. stank发出恶臭。根据toyed和rebelling可知此处用stank最合适。故选D。。
+
+
+【题干】：-Could you please translate this sentence for me? I think it’s in French. -Sorry. I _ evening lesson for one year and I almost forget the language. A. had taken B. was taking C. have taken D. took
+【答案】：D
+【解析】：【详解】考查动词时态。句意:—你能帮我翻译一下这个句子吗?我觉得它是用法语写的。—不好意思。我上过一年的夜校不过现在已经忘了这个语言了。分析句子可知,“我”已经忘记这门语言了,说明陈述的是过去事实,现在已经没有上夜校课程了,因此动词需使用一般过去时。故选D。【点睛】“for+一段时间”结构常与6种时态连用,1. 现在完成时;2. 现在完成进行时;3. 过去完成时;4. 过去完成进行时;5. 一般过去时(考查最为频繁);6. 将来完成时。。
+
+
+【题干】：It _ many years before Michelangelo _ painting the ceiling of the Sistine Chapel. A. was…finished B. was…had finished C. had been…had finished D. is…finished
+【答案】：A
+【解析】：【详解】考查固定句型。句意:很多年后,米开朗基罗才粉刷完西斯廷教堂的天花板。分析句子可知,此句为固定句型:It was +一段时间+before从句,若主句是一般过去时,从句也是一般过去时。故选A。【点睛】在It was +一段时间+before从句中,若主句是肯定句,翻译成“过了…时间才…”,若主句是否定形式,翻译成“没过多久就…”。
+
+
+【题干】：You have to think of a way if you are not socially active, because you have no alternative but _ the working environment. A. be fit in B. to fit in C. fitting in D. fit in
+【答案】：B
+【解析】：【详解】考查固定搭配。句意:如果你在社交方面不活跃,你不得不想出另一种方式,因为你没有选择只能适应这个工作氛围。have no alternative but to do意为“不得已而为之”,是固定搭配,故选B。。
+
+
+【题干】：The young man who is _ can’t even imagine a bit about what happened _ of the last century. A. in the 20s…in the 80s B. in his 20s…in 80s C. in his 20s…in the 80s D. in the 20s…in 80s
+【答案】：C
+【解析】：【详解】考查固定短语。句意:这个20多岁的年轻人很难想象在上世纪80年代发生的事情。in one’s+整十的复数形式表达“年龄”,in the+世纪年代(整十)的复数形式,表达“世纪和年代”。故选C。。
+
+
+【题干】：The phone is ringing! _ it be your teacher Shawn? He was looking for you the whole morning since you’ve got so many Fails! A. Can B. Would C. May D. Will
+【答案】：A
+【解析】：【详解】考查情态动词。句意:电话响了!会不会是你的老师Shawn?你挂了太多科,他一早上都在找你。分析句子可知,此句为疑问句,情态动词can通常指用于否定句或疑问句中表示对现在或将来的推测,根据下文“He was looking for you the whole morning since you’ve got so many Fails!”,可推断推测电话是谁打来的,故用can,选A。。
+
+
+【题干】：“The population _ issue is severe in USA, but the country has never had more kids, and participation in high school sports has never been higher,” said a professor _ around 50. A. aging…aging B. aged…aged C. aging…aged D. aged…aging
+【答案】：C
+【解析】：【详解】考查动名词和过去分词。句意:“人口老龄化问题在美国非常严重,但这个国家没有生更多的孩子,高中体育的参与度也没有像现在这样高。”一位大约50岁左右的教授说道。aging表示“老化”,作定语修饰issue,aging issue意为“人口老龄化问题”,aged意为“……岁的”,作后置定语修饰professor。故选C。。
+
+
+【题干】：If approved by the States Assembly, the law will _ on 1 July 2013. A. come into being B. come into effect C. put into effect D. take into effect
+【答案】：B
+【解析】：【详解】考查动词词组辨析。句意:如果州议会批准了,这项法律将会在2013年1月生效。A. come into being形成、产生;B. come into effect被实施、生效;C. put into effect实行、生效;D. take into effect不存在这个短语。come into effect特指(法律、决议等)被实施,开始实行,开始有效,生效。put sth into effect强调“让某事起作用,生效”,主语是人。题目中the law作主语,强调“起作用、生效”,故选B。。
+
+
+【题干】：His _ were published during the last decade, one of which talks about the child laborers’ miserable life in a local _. A. work…work B. works…works C. work…works D. works…work
+【答案】：B
+【解析】：【详解】考查名词辨析。句意:他的作品在过去的十年发表了,其中一本谈论了童工在一座当地工厂里悲惨的生活。work为单数时,意为“职业、工作”;works意为“著作、作品”,也意为“工厂”。故选B。。
+
+
+【题干】：She was _ at the author’s great novels and so she became an admirer of him. A. wondered B. surprised C. shocked D. amazed
+【答案】：D
+【解析】：【详解】考查固定搭配。句意:她惊讶于这位作家的著作,所以她成为了这位作者的追随者。此处为固定搭配,be amazed at意为“对……感到惊讶”,后一句提到她成为了这位作家的追随者,说明她非常喜欢作者的作品。故选D。。
+
+
+【题干】：Rather than read the science fiction alone in the classroom he preferred _ the performance put on by the American student’s choir. A. watching B. watch C. having watched D. to watch
+【答案】：D
+【解析】：【详解】考查固定短语。句意:他宁愿看美国学生合唱团的表演,也不愿独自在教室里读科幻小说。固定短语prefer to do sth rather than do sth “宁愿做某事而不愿做某事”。故选D。。
+
+
+【题干】：He set aside much money for his tuition each month and only a _ amount of money went to his living expense. A. little B. small C. tiny D. few
+【答案】：B
+【解析】：【详解】考查固定短语。句意:他每个月都存了很多钱交学费,只有很少的钱花在生活费上。修饰 amount 只能用 large/small,固定短语a small amount of“少量”,故选B。。
+
+
+【题干】：_ in thought, he failed to realize his mother’s approach. A. Losing B. Being lost C. Lost D. To be lost
+【答案】：C
+【解析】：【详解】考查非谓语动词。句意:他陷入沉思,没有意识到母亲的到来。短语lost in thought“沉浸在思考中”,本句中lost做状语,故选C。。
+
+
+【题干】：It is believed that _ type of tree grows _ than the Giant Redwood. A. not any ….. more highly B. no other …. higher C. no other ….more highly D. not any….. higher
+【答案】：D
+【解析】：【详解】考查最高级。句意:人们相信没有任何一种树能长得比这棵巨大的红木还要高。本句为“否定词+比较级”表示“最……不过”、“不比……更”的意思,相当于最高级的含义。本句中应用not…higher表示“不比……更高”,且type为单数故应用any修饰。故选D。。
+
+
+【题干】：Our English monitor can sing _, if not better than, Mary. A. as good as B. as well as C. so well as D. so good as
+【答案】：B
+【解析】：【详解】考查短语辨析。句意:我们的英语班长即使不比玛丽唱得好,至少也能唱得和她一样好。修饰动词sing应用副词,固定结构as…as…“与……一样”,so...as...用于否定句,故选B。。
+
+
+【题干】：The first prize _ to Mr. Brown for his outstanding design of his banknote counting machine. A. rewarded B. awarded C. presented D. went
+【答案】：D
+【解析】：【详解】考查动词辨析。句意:第一名颁给了布朗先生,因为他设计了杰出的点钞机。A. rewarded报酬,通常指做某件事得到相应的报酬;B. awarded奖励,通常用作奖项;C. presented提出;D. went to颁发给。根据句意故选D。。
+
+
+【题干】：As a matter of fact _, we raise at home are collected from the wild forest. A. most the plants B. most of plants C. most of the plants D. most of plant
+【答案】：C
+【解析】：【详解】考查固定短语和冠词。句意:事实上,我们在家种植的大部分植物都是从野生森林中采集的。固定短语most of“大多数”,且此处特指“我们在家种植的植物”应用定冠词,且指物为可数名词,此处应用复数形式。故选C。。
+
+
+【题干】：I thought that they were unhappy at the party when they got nothing to eat, _? A. didn’t I B. do I C. were they D. weren’t they
+【答案】：D
+【解析】：【详解】考查反意疑问句。句意:我以为他们在聚会上没有东西吃时是不高兴的,不是吗? 反意疑问句的陈述部分为I(We) think(believe, suppose, consider) + that从句时,问句部分的动词及主语与that从句内的动词和主语保持一致。故反意疑问句应与从句they were unhappy at the party when they got nothing to eat保持一致,从句为肯定陈述句,故反意疑问句应用否定。故选D。。
+
+
+【题干】：_ I referred to in class is the weird world of plants. A. Knowing to be the best chapter B. Known as the best chapter C. The best-known chapter D. To know it as the best chapter
+【答案】：C
+【解析】：【详解】考查句子成分。句意:我在课堂上提到的最有名的一章是《植物的奇异世界》。分析句子结构可知,本空为句子主语,且表示“最有名的章节”,故选C。。
+
+
+【题干】：—Will professor Brown attend her wedding ceremony? —It will not be _ so. A. particularly B. necessarily C. commonly D. regularly
+【答案】：B
+【解析】：【详解】考查副词辨析。句意:——布朗教授会参加她的婚礼吗?——未必如此。A. particularly特别的;B. necessarily有必要的;C. commonly一般地;D. regularly定期地。结合句意可知此处表示“并不是有必要的;未必如此”,故选B。。
+
+
+【题干】：This year conference goes in Switzerland have discussed _ to achieve a better balance between growth and stability. A. when B. where C. how D. why
+【答案】：C
+【解析】：【详解】考查特殊疑问词。句意:今年在瑞士举行的会议已经讨论了如何实现稳定与发展之间更好的平衡。A. when什么时候; B. where在哪儿;C. how怎样,如何;D. why为什么。结合句意,此处应译为“怎么/如何实现”。故选C项。。
+
+
+【题干】：The explorer entered the cave, _ was like a sleeping bag pulled over his head. A. whose darkness B. its darkness C. darkness of which D. which darkness
+【答案】：A
+【解析】：【详解】考查定语从句。句意:探险者进入洞穴,洞里一片漆黑,就像一个睡袋套在他的头上。分析句子结构可知,此处是定语从句,从句的主语是“它的黑暗”先行词cave作定语从句的定语。故用whose darkness/the darkness of which/of which the darkness。故选A项。。
+
+
+【题干】：What really flatters a man is you think him worth flattering. A. that B. whether C. what D. how
+【答案】：A
+【解析】：【详解】考查表语从句。句意:真正令一个人愉快的是你认为他值得奉承。分析句子可知,本句主语是“What really flatters a man”,is为系动词,后接表语从句,从句的成分和意思都是完整的,故用that引导。故选A项。。
+
+
+【题干】：I have pleasure in introducing to you the man without generosity your club would cease to exist. A. whose B. that C. which D. this
+【答案】：A
+【解析】：【详解】考查定语从句关系词。句意:我很高兴向你介绍一个人,如果没有他的慷慨,你的俱乐部将不复存在。分析句子可知,句中先行词为the man,在定语从句中作定语,故用关系代词whose。故选A项。。
+
+
+【题干】：In the past decade, geologists have come closer than ever to the age of the earth. A. calculate B. calculating C. be calculating D. have calculated
+【答案】：B
+【解析】：【详解】考查非谓语动词。句意:在过去的十年里,地质学家在计算地球的年龄上比以往任何时候都更接近。come close to doing sth接近做某事。故选B项。。
+
+
+【题干】：He insisted on Dr. Turner instead of Mr. Turner. A. his being called B. him to be called C. his calling D. him to call
+【答案】：A
+【解析】：【详解】考查非谓语动词。句意:他坚持要别人叫他特纳医生而不是特纳先生。insist on后面接动名词做宾语,而he和call是被动关系,his是逻辑主语。故选A项。。
+
+
+【题干】：As we go into the new century, we need to be ready to go with the winds of trust, conscience and intuition. we are open to the unexpected and are alert and are adaptable, life will become a wonderful journey. A. Until B. Unless C. though D. If
+【答案】：D
+【解析】：【详解】考查连词辨析。句意:当我们进入新世纪时,我们需要做好准备,顺应信任、良心和直觉之风,如果我们对意想不到的事情保持开放、警觉和适应能力,生活就会变成一段美妙的旅程。分析句子可知本句为if引导的条件状语从句,A. Until直到;B. Unless除非;C. Though虽然;D. If如果。故选D项。。
+
+
+【题干】：My father gave me a gold watch, _were made of small diamonds. A. the hands of whom B. whom the hands of C. which the hands of D. the hands of which
+【答案】：D
+【解析】：【详解】考查非限定性定语从句。句意:我父亲给了我一块金表,表的指针是用小钻石做的。 本句为非限定性定语从句,关系词指代先行词a gold watch,并在从句中作介词of的宾语,故D项正确。。
+
+
+【题干】：—Guess what? You are on the list of the exchange program for further study in Cambridge. —_! I never thought of that. A. Thank you B. It’s a piece of cake C. That’s a surprise D. I deserve it
+【答案】：C
+【解析】：【详解】本题考查交际用语。解题步骤:1.确定各选项意思:A. Thank you谢谢你;B. It’s a piece of cake小菜一碟;C. That’s a surprise真是一个惊喜;D. I deserve it我应得的;2.确定答案:根据空后I never thought of that.可知,此处指“真是一个惊喜”。句意:—猜猜怎么了?你在去剑桥深造的交换项目的名单里。—真是一个惊喜!我从没有想到过。故选C。。
+
+
+【题干】：I missed the chance to meet the movie star in the flesh. How I wish I _ ill yesterday! A. didn’t fall B. weren’t falling C. hadn’t fallen D. haven’t fallen
+【答案】：C
+【解析】：【详解】本题考查虚拟语气。解题步骤:1.确定虚拟语气:wish后面接宾语从句的时候用虚拟语气;2.确定时态:根据空后yesterday可知,此处描述的是对过去动作的虚拟,和过去相反的动作用过去完成时。句意:我错过了与这位电影明星见面的机会。我多么希望昨天没有生病啊!故选C。。
+
+
+【题干】：The restaurant has a(an) _ charge of $50 per person, so the four of us need to pay at least $200 to eat there. A. accurate B. minimum C. flexible D. steady
+【答案】：B
+【解析】：【详解】本题考查形容词辨析。解题步骤:1.确定各项意思:A. accurate精确的;B. minimum最小的,最少的;C. flexible灵活的;D. steady稳定的。2.确定答案:根据so the four of us need to pay at least $200 to eat there可知,此处指“最低消费”。句意:这个饭店每个人至少消费50美元,所以我们四个人在那里吃饭至少需要付200美元。故选B。。
+
+
+【题干】：Only then _ that human activity is responsible for global warming! A. did I realize B. do I realize C. I realized D. I realize
+【答案】：A
+【解析】：【详解】本题考查部分倒装及时态。解题步骤:1.确定句型:“Only+状语(副词/介词短语/状语从句)”放在句首的时候,后面的句子用部分倒装;2.确定时态:only与then搭配用时,使用过去时。句意:只有那时我才意识到人类的活动应该对全球气温变暖负责。故选A。。
+
+
+【题干】：_ by the gun shots, the customers in the shopping mall all rushed out in panic. A. Frightened B. Being frightened C. Frightening D. Having frightened
+【答案】：A
+【解析】：【详解】本题考查非谓语动词。解题步骤:1.确定非谓语动词:逗号后面是简单句,之间也没有连词,说明前面是非谓语动词作状语,the customers和frighten是被动关系,用过去分词作状语。2.确定答案:B项Being frightened虽然是被动式,但是不存在“正在被枪声吓到”的意思。句意:被枪声吓到了,购物超市的顾客们都惊恐地冲出去了。故选A。。
+
+
+【题干】：—Mary, is this your pen ? —No, mine is bigger, _ with a blue cap. A. it B. one C. this D. that
+【答案】：B
+【解析】：【详解】本题考查代词指代。解题步骤:1.确定各选项:A. it代替上文提到过的同一事物;B. one表示泛指,替代上文提到过的同类人或事物中的一个;C. this特指眼前的事物;D. that表特指,替代的对象与所指名词同类,但不是同一个;2.确定句意:—玛丽,这是你的钢笔吗?—不,我的比较大,一个戴蓝帽的。此处表泛指“一个戴蓝帽子的(钢笔)”,故选B。。
+
+
+【题干】：Hundreds of jobs _ if the factory closes down. A. lose B. will be lost C. are lost D. will lose
+【答案】：B
+【解析】：【详解】本题考查一般将来时的被动语态。解题步骤:1.确定时态:在if引起一个状语从句中,从句用现在时,主句中用一般将来时;2.确定语态:主语jobs与谓语动词是逻辑动宾关系,应使用被动语态。句意:如果工厂关闭,数百个工作岗位将会消失。故选B。。
+
+
+【题干】：We _ walk in the moonlight, taking about _ we were interested in. A. used to, all what B. were used to, all what C. used to, all that D. were used to, what
+【答案】：C
+【解析】：【详解】本题考查固定用法和定语从句。解题步骤:1.确定第一空:used to do sth.过去常常做某事,be used to sth.被用于做某事,根据空后walk in the moonlight可知,此处使用used to,排除B/D项;2.确定第二空:all看作是先行词,先行词是不定代词时,先行词用that,all that相当于what。句意:我们过去常常在月光下散步,谈论我们感兴趣的事情。故选C。。
+
+
+【题干】：—Where did you _ Japanese? —While I was staying with some Japanese students. A. pick up B. take up C. make up D. turn up
+【答案】：A
+【解析】：【详解】本题考查动词短语辨析。解题步骤:1.确定选项意思:A. pick up捡起,学会,接收;B. take up占据,开始从事;C. make up编造,组成,化妆;D. turn up出现,露面;2.确定答案:根据空后Japanese可知,此处指“学会日语”。句意:—你在哪儿学的日语?—我和一些日本学生在一起的时候学的。故选A。。
+
+
+【题干】：There is still much to discuss, we shall, _, return to this item at our next meeting. A. nevertheless B. moreover C. however D. therefore
+【答案】：D
+【解析】：【详解】考查副词词义辨析。解题步骤:1.确定各选项意思。A. nevertheless然而,不过;虽然如此;B. moreover而且;此外;C. however然而;D. therefore因此。2.确定答案。根据句意理解,前后句为因果关系,用therefore。句意:还有许多问题要讨论,因此,我们将在下次会议上回到这个项目上来。故选D。。
+
+
+【题干】：The quarrel _ to the fight started from their disbelief in each other. A. leading B. to lead C. led D. has led
+【答案】：A
+【解析】：【详解】考查非谓语。解题步骤:1.确定非谓语。分析句子结构可知,句中已经存在谓语动词started, 因此所填动词lead 应作非谓语,理解为the quarrel 的后置定语。2. 确定答案。与之前名词为主动关系,用现在分词形式。答案为A项。句意:引起这场争吵的起因是他们互相不相信对方。故选A。。
+
+
+【题干】：It’ very difficult to deal with and protect the historical remains on the scene, _ most are paintings. A. of whom B. of them C. of what D. of which
+【答案】：D
+【解析】：【详解】考查介词+关系代词引导的非限制性定语从句。解题步骤:1.分析定语从句。先行词为the historical remains,放回从句中应为:most of the historical remains are paintings.可知,作介词of的宾语。2.确定答案。介词of提至从句句首,故填of which. 答案为D项。句意:现场的历史遗迹很难处理和保护,其中大部分是绘画。故选D。。
+
+
+【题干】：As Mr Jones aged, he decided to _ charge of his family business to his eldest son, who was without question the most suitable candidate to succeed him. A. take over B. give way C. hand over D. give away
+【答案】：C
+【解析】：【详解】考查动词词组辨析。解题步骤:1.确定各选项意思。A. take over接管;B. give way 让路;撤退C. hand over交出;移交 D. give away泄露。2.确定答案。根据后文将家族生意交给大儿子。答案为C项。句意:随着琼斯先生年事渐高,他决定把家族事业移交给长子,毫无疑问,长子是最适合接替他的人。故选C。。
+
+
+【题干】：What astonished the public was that the murder case had been dismissed _ any definite proof. A. in the charge of B. in the absence of C. in the possession of D. in the name of
+【答案】：B
+【解析】：【详解】考查介词词组辨析。解题步骤:1.确定各选项意思。A. in the charge of 负责;掌管;B. in the absence of缺席;C. in the possession of拥有;D. in the name of以……的名义2.确定答案。过根据句意理解为缺少有力证据而被取消控罪。答案为B项。句意:使公众吃惊的是,在没有任何确凿证据的情况下,这个谋杀案被撤销了。故选B。。
+
+
+【题干】：The power of a smile is amazing. It helps me stay _ , even in bad times. A. sensitive B. passive C. optimistic D. steady
+【答案】：C
+【解析】：【详解】考查形容词词义辨析。解题步骤:1.确定各选项意思。A. sensitive敏感的;B. passive被动的;消极的;C. optimistic乐观的;D. steady稳定的。2. 确定答案。根据前文微笑的力量是惊人的,可知是褒义形容词。答案为C项。句意:微笑的力量是惊人的。它帮助我保持乐观,即使在糟糕的时候。故选C。。
+
+
+【题干】：The mother was filled with anxiety _ her daughter might be disabled by the accident. A. whether B. that C. what D. which
+【答案】：B
+【解析】：【详解】考查同位语从句。解题步骤:1.确定为同位语从句。_ her daughter might be disabled by the accident.为之前anxiety 的同位语,对其进行解释说明。2. 确定答案。起到解释说明anxiety的具体内容的作用,用引导词that。答案为B项。句意:母亲为女儿在事故中可能致残而忧心忡忡。故选B。。
+
+
+【题干】：When learning he was admitted to a key college, _. A. he burst into tears B. tears came to his eyes C. he can hardly keep back his tears D. and his parents were wild with joy
+【答案】：A
+【解析】：【详解】 考查陈述句和固定短语。句意:当得知他被一所重点大学录取时,他哭了起来。此处when引导的时间状语从句,故空格处是主句,且无需连词,所以排除D项;when引导的从句省略了主语,因此主从句主语一致,故排除B项;从句是一般过去时态,则从句也用一般过去时态,所以排除C项;固定短语:burst into tears“放声大哭”。故选A。。
+
+
+【题干】：Past winners of the Nobel Prize in physics, _ has now been awarded 210 times, have been honored for their important discoveries. A. who B. what C. that D. which
+【答案】：D
+【解析】：【详解】考查非限定性定语从句。句意:诺贝尔物理奖过去的获奖者,因为他们的重大发现被给予荣誉称号,该奖项已经颁发了210次。分析句子可知,此处是非限定性定语从句,先行词the Nobel Prize in physics在从句_ has now been awarded 210 times中充当主语,故用关系代词,又非限中不能使用that,故用which。故选D项。【点睛】本题考查定语从句 完成定语从句一般分为三步:找出先行词;分析先行词在定语从句中所充当的成分;考虑特殊情况。 以本题为例: 1) 找出先行词:the Nobel Prize in physics(指物) 2) 分析先行词在定语从句中所充当的成分:the Nobel Prize in physics 在_ has now been awarded 210 times充当主语,故用关系代词that/which。 3) 考虑特殊情况:非限制性定语从句中不能使用that 故用which,选D项。。
+
+
+【题干】：Just my luck! _ my umbrella this morning, I wouldn’t be trapped here now. A. Should I take B. Had I taken C. Were I to take D. Would I take
+【答案】：B
+【解析】：【详解】考查虚拟语气的倒装。句意:我太倒霉了!如果我今天早上带了雨伞,我现在就不会被困在这儿了。根据句意可知,该句是虚拟语气,根据this morning判断从句是对过去情况的虚拟,从句应用过去完成时had done表达,又从句中省略了if,故将助动词had提前,构成部分倒装句;完整结构是if I had taken ,省略之后是had I taken。故选B项。【点睛】本题考查虚拟语气的倒装 在if引导的虚拟条件状语从句中,如果从句有were, had(助动词),should可以省略if然后将它们置于句首。 例如: If I were you, I would choose to stay at home.= were I you, I would choose to stay at home.如果我是你,我就选择待在家。 If you had taken my advice yesterday, you would be better now.=had you taken my advice yesterday, you would be better now.如果你昨天听了我的话,你现在就好多了。 If it should snow tomorrow, we would make a big snowman.=should it snow tomorrow, we would make a big snowman.万一明天下雪,我们就堆个大大的雪人。。
+
+
+【题干】：Time and patience are needed in popularizing guoxue, but modem technology helps the process. A. accomplish B. accelerate C. accumulate D. associate
+【答案】：B
+【解析】：【详解】考查动词词义辨析。句意:普及国学需要时间和耐心,但是现代技术帮助加快了这一进程。A. accomplish完成;B. accelerate加速;C. accumulate积累;D. associate联合。根据 Time and patience和but可知前后句为转折意义,故此处用“加速进程”符合语境。故选D项。。
+
+
+【题干】：According to the research, it takes 21 days to _ a new good habit. A. cultivate B. exchange C. handle D. inform
+【答案】：A
+【解析】：【详解】考查动词。句意:根据研究,培养一个新的好习惯需要21天。A. cultivate培养;B. exchange交换;C. handle处理;D. inform通告,告知。“习惯”不能说“交换、处理、通告”,可以说“培养”“习惯”。故选A。。
+
+
+【题干】：He is still quite sick, but the doctor is sure that he will _. A. pull over B. pull up C. pull out D. pull through
+【答案】：D
+【解析】：【详解】考查动词短语辨析。句意:他的病还很重,但医生相信他能挺过来。A. pull over把……开到路边;B. pull up拔起,停下来;C. pull out离开,拔出;D. pull through恢复健康。与他的病很重语境一致,故选D。。
+
+
+【题干】：According to Professor Smith, the best approach _ a foreign language is to study the spoken language. A. to learn B. to learning C. of learning D. on learning
+【答案】：B
+【解析】：【详解】考查固定搭配。句意:史密斯教授认为,学习外语的最好方法是学习口语。the approach to doing sth.“做某事的方法”,此处to是介词,后面用动名词作宾语,故选B。。
+
+
+【题干】：I am going on a dream vacation to Hawaii. While you are doing paperwork, I _ on a sunny beach. A. lay B. has been lying C. will be lying D. would be lying
+【答案】：C
+【解析】：【详解】考查将来进行时态。句意:我要去夏威夷度一个梦幻般的假期。当你在做文书工作时,我将正躺在阳光明媚的海滩上。结合句意可知表示将来某个时间正在进行的动作,句子用将来进行时态,故选C。。
+
+
+【题干】：She is so annoying! She _ her dirty dishes in the sink. I think she is actually expecting me to do them for her. A. leaves B. has been leaving C. is always leaving D. has left
+【答案】：C
+【解析】：【详解】考查现在进行时态。句意:她真烦人!她总是把脏盘子留在水槽里。我想她实际上是在期待我为她做这些。此处是现在进行时态和always在一起连用,表示赞美、表扬、厌恶、责备等感情色彩。故选C。【点睛】always在进行时态中通常有强烈的情感意义,往往表示的是说话人的一种喜爱、厌恶、不耐烦、抱怨、惊讶等的感情色彩。You are always making troubles!你怎么老找麻烦?!。
+
+
+【题干】：Before you set out on a long journey, you'd better make sure that your car is _. A. by order B. on order C. out of order D. in order
+【答案】：D
+【解析】：【详解】考查介词短语辨析。句意:在你长途旅行出发之前,你最好确定你的车是否完好无损。A. by order奉命,按订单;B. on order在订购中;C. out of order发生故障;D. in order整齐,状况良好。旅行之前是确认车况是否良好,故选D。。
+
+
+【题干】：What a coincidence! I _ my elementary school deskmate when I was enjoying myself in the Disneyland the other day. A. have come across B. come across C. had come across D. came across
+【答案】：D
+【解析】：【详解】考查时态。句意:真是一个巧合!前几天我在迪斯尼乐园玩得很开心的时候,偶然遇到了我的小学同桌。根据the other day“几天前的某一天”,可知句子用一般过去时态,故选D。。
+
+
+【题干】：Television enables us to see things happen almost at the exact moment _. A. which they are happening B. when they are happening C. which is happening D. when they have happened
+【答案】：B
+【解析】：【详解】考查定语从句。句意:电视使我们几乎在事情发生的同一时刻看到它们发生。此处moment是先行词,在后面的定语从句中作时间状语,用when引导定语从句,再根据at the exact moment可知动作正在进行,所以用现在进行时态,故选B。。
+
+
+【题干】：In addition to John and Helen, their cousin _ visit us next month. A. is coming to B. are coming to C. are to D. is likely
+【答案】：A
+【解析】：【详解】考查现在进行时态表示将来和主谓一致。句意:除了约翰和海伦,他们的表弟下个月也要来看我们。根据next month可知,句子用一般将来时态,此处come的进行时态表示将来,且句子主语cousin是单数第三人称,故选A。。
+
+
+【题干】：If violence is not kept in check by bringing the guilty to _, matters will go beyond what the public can tolerate. A. equality B. justice C. regulation D. liberation
+【答案】：B
+【解析】：【详解】考查名词词义辨析。句意:如果不能通过将罪犯绳之以法来制止暴力,事情将超出公众所能忍受的范围。A. equality平等;B. justice正义;C. regulation管理;D. liberation解放。根据句意及选项可知,此处使用名词justice。故选B。。
+
+
+【题干】：-Have you worked out your plan? -We have got a general idea of what we want, but nothing _ at the moment. A. ambiguous B. permanent C. concrete D. ambitious
+【答案】：C
+【解析】：【详解】考查形容词词义辨析。句意:—你已经制定出你的计划了吗?—我们已经得到了我们所想要的重新思路,但是现在还没有具体的计划。A. ambiguous模棱两可的;B. permanent永久的;C. concrete具体的;D. ambitious野心勃勃的。根据句意及选项可知,此处使用形容词ambitious。故选C。。
+
+
+【题干】：Patients should fight a mental battle against their disease bravely rather than_ them. A. subscribe to B. contribute to C. submit to D. apply to
+【答案】：C
+【解析】：【详解】考查动词短语辨析。句意:病人应当与他们的疾病勇敢地做心理斗争而不是屈服于他们。A. subscribe to订阅、同意、捐款;B. contribute to为……做贡献;C. submit to提交、屈从;D. apply to应用于。根据句意及选项可知,此处使用短语submit to。故选C。。
+
+
+【题干】：As we know, it will still be some years before all the metro lines in Suzhou _ into operation. A. will be put B. are put C. will have been put D. are being put
+【答案】：B
+【解析】：【详解】考查动词时态语态。句意:据我们所知,距离苏州所有的地铁线路投入使用还有好几年。all the metro lines与put...into operation是被动关系,应使用被动语态;在时间状语从句中,主句是一般将来时,遵循“主将从现”的原则,所以从句用一般现在时。故选B。。
+
+
+【题干】：The 70th anniversary military parade demonstrates the fact to the whole world _ China has made great progress in the past few decades. A. where B. which C. why D. that
+【答案】：D
+【解析】：【详解】考查同位语从句。句意:70周年大阅兵向世界证明了这个事实,中国在过去的二十年里取得了巨大的进步。分析句子成分可知,设空后的句子是对the fact的解释说明,是同位语从句,从句成分齐全,应使用只起引导作用、无句意的关系词that引导。故选D。【点睛】1.同位语从句通常对前面的名词起补充解释作用,两者之间是同位关系;而定语从句是用来说明先行词的性质或特征,起修饰或限制作用,两者之间是修饰与被修饰的关系。例如:同位语从句——The fact that there no lives on the Mars is known to all of us.众所周知,火星上没有生命。 定语从句——The news that you read is uncertain.你读到的那则新闻是不确定的。 2.在同位语从句中,that是从属连词,在句中只起到引导作用,没有具体的意义,且不做任何成分,但不能省略,也不可用which代替;而在定语从句中,that是关系代词,它在从句中不但起连接作用,还在句中做主语、宾语或表语。做宾语时可省略,指物时还可以用which代替,指人时常可以用who代替。例如:同位语从句——The requirement that we should obey the school rules is known to us.遵守校规这个要求我们都清楚。 定语从句——Those school rules (that) the headmaster put forward is known to us.校长提出的这些校规大家都清楚。 3. 当when/why/where/how等引导同位语从句时,它们为连接副词,虽在句子中充当句子成分,但前面没有与其意义相同的先行词;而在定语从句中when/why/where/为关系副词,在其前面分别有表示时间、原因、地点的名词作先行词。例如:同位语从句——They raised the question where they would get the books.他提出了我们到哪里去拿书的问题。 定语从句——That's the reason why she failed this exam.那就是他考试失败的原因。。
+
+
+【题干】：Jane’s grandmother has wanted to write _ children’s book for many years, but one thing or another always got in _ way. A. a, / B. a, the C. the, the D. the, a
+【答案】：B
+【解析】：【详解】考查冠词。句意:多年来,Jane的祖母一直想写儿童书籍,但总有这样或那样的事情妨碍着她。结合句意,第一空泛指“一本儿童书籍”,故用不定冠词,又children是辅音音素开头,故用a;第二空考查固定短语get in the way阻碍,故用定冠词the,故选B项。。
+
+
+【题干】：The program of economic reform is_ by foreign aid. A. backed B. based C. brought D. balanced
+【答案】：A
+【解析】：【详解】考查动词词义辨析。句意:这个经济改革计划受到了国外援助的支持。A. backed支持;B. based以……做基础;C. brought带来;D. balanced使平衡。根据foreign aid可知此处译为“受到国外援助的支持”符合语境。故选A项。。
+
+
+【题干】：The _ of happiness changes as we grow. A. concept B. conduct C. connection D. contact
+【答案】：A
+【解析】：【详解】考查名词词义辨析。句意:幸福的概念随着我们的成长而改变。A. concept概念,理念;B. conduct行为举止;C. connection关联,联系;D. contact联系。结合句意可知此处译为“幸福的概念”符合语境,“概念”是concept,故选A项。。
+
+
+【题干】：I would be very grateful if you could take some time to _ my resume and make necessary changes. A. go about B. go off C. go through D. go for
+【答案】：C
+【解析】：【详解】考查短语辨析。句意:如果你能花时间仔细检查我的简历并做出必要的修改我将不胜感激。A. go about着手;B. go off离开;C. go through仔细检查;D. go for喜欢。根据make necessary changes.可知此处用“仔细检查我的简历”符合语境,故选C项。。
+
+
+【题干】：Focusing on that goal helps me_ tough times. A. get over B. get through C. get away with D. get out
+【答案】：B
+【解析】：【详解】考查短语辨析。句意:专注于那个目标帮我度过了艰难时刻。A. get over克服;B. get through度过;C. get away with逃避;D. get out逃离,外出。结合句意可知,此处译为“度过艰难时刻”符合语境,故选B项。。
+
+
+【题干】：The flowers _ a fragrant perfume. A. give off B. give away C. give back D. give in
+【答案】：A
+【解析】：【详解】考查短语辨析。句意:这些花散发出芬芳的香味。A. give off散发;B. give away赠送,泄露;C. give back归还;D. give in屈服。结合句意可知,此处译为“散发出芬芳的香味”符合语境,故选A项。。
+
+
+【题干】：During World War II, when London was bombed, many underground stations_ as bomb shelters. A. formed B. fixed C. failed D. functioned
+【答案】：D
+【解析】：【详解】考查动词词义辨析。句意:二战时期,当伦敦被轰炸时,很多地铁站起到了防空洞的作用。A. formed形成;B. fixed固定,修理;C. failed失败;D. functioned运转,起作用。结合句意可知,此处译为“地铁站起到了防空洞的作用”符合语境,“起作用,运转”是function,故选D项。。
+
+
+【题干】：Please pay attention because this information_ all of you. A. is concerned about B. concerns C. will be concerned D. is concerning
+【答案】：B
+【解析】：【详解】考查时态和语态。句意:请注意,因为这个信息和你们所有人有关。结合句意可知,此处讲述的事实,故用一般现在时,“与……有关”是concern,主语information不可数,故谓语动词用第三人称单数,故选B项。。
+
+
+【题干】：Trucks and cars_ along the high way. A. followed B. floated C. flew D. flowed
+【答案】：D
+【解析】：【详解】考查动词词义辨析。句意:卡车和小汽车在高速路上川流不息。A. followed跟随;B. floated漂浮;C. flew飞行;D. flowed流动。结合句意可知,此处译为“川流不息/流动”符合语境,故选D项。。
+
+
+【题干】：He_as he thought of his failure to sell his newspapers. A. broke down B. broke off C. broke up D. broke out
+【答案】：A
+【解析】：【详解】考查动词短语辨析。句意:想到没有卖出报纸,他崩溃了。A. broke down崩溃;B. broke off中断;C. broke up破碎;D. broke out爆发。根据his failure to sell his newspapers.可知,此处用“崩溃”符合语境,故选A项。。
+
+
+【题干】：The quality of education in this small school is better than _ in some larger schools. A. this B. it C. those D. that
+【答案】：D
+【解析】：【详解】考查代词的辨析。解题步骤:1.确定各选项意思:this这、这个;it它;those那些;that那、那个。2.确定答案:句中代词代指不可数名词the quality of education,故用代词that。句意:这所小学校的教学质量比一些更大的学校的(教学质量)要好。故选D。 【点睛】 it可用于指代前文中提及的对象本身;that可用于指代前文提到对象的一类事物的单数形式或者不可数名词;而当对象为可数名词复数时,that应该转换为those。。
+
+
+【题干】：There is little doubt in your mind that he is innocent, _? A. is he B. isn’t he C. is there D. isn't there
+【答案】：C
+【解析】：【详解】 本题考查反义疑问句。解题步骤:1.确定句式:主从句的反义疑问句,反问时,应和主句的主语保持一致;这句话和There is little doubt一致。2.确定答案:little“几乎没有”是否定词,遵循前否后肯的原则,反义疑问句用is there?句意:你几乎不怀疑他是无辜的,是吗?故选C。。
+
+
+【题干】：The paper is due next week, and I'm working seven days _ week, often long into _ night. A. a; the B. the; 不填 C. a; a D. 不填; the
+【答案】：A
+【解析】：【详解】 本题考查冠词。解题步骤:1.确定第一空:week是可数名词,此处泛指“一周”,应使用不定冠词a,从而排除B/D项;2.确定第二空:into the night到深夜,为固定用法,应使用定冠词the。句意:我的论文下个月就要交,我现在一周工作七天,还经常熬夜到深夜。故选A。。
+
+
+【题干】：The couple got into a(n)_ about where to celebrate New Year’s Eve: at home or in a restaurant. A. comment B. argument C. debate D. quarrel
+【答案】：B
+【解析】：【详解】 考查名词词义辨析。句意:这对夫妇为除夕是在家里还是在餐馆里庆祝发生了争吵。A. comment评论,表示就某人或某事发表看法;B. argument争吵,指提出理由或证据为自己或自己一方的看法或立场辩护,着重说理、论证和企图说服;C. debate辩论,(正式的)讨论,侧重指意见等对立的双方之间正式或公开的争辩;D. quarrel吵架,争论,指两人之间或两个团体之间不友好的、吵吵嚷嚷地大声争论某事,尤指“吵嘴、吵架”。结合后文“where to celebrate New Year’s Eve: at home or in a restaurant”可知,此处指就在哪里庆祝发生了争吵,用argument更符合,get into an argument“争吵起来”。故选B。。
+
+
+【题干】：—Excuse me, but I want to use your computer to type a report. —You _have my computer if you take care of it. A. shall B. must C. need D. should
+【答案】：A
+【解析】：【详解】 考查情态动词用法。句意:——不好意思,我想用你的电脑打一份报告。——如果你爱护我的电脑,就可以使用它。A选项shall用于第二、三人称时,表示说话人给对方的命令、警告、允诺或威胁,此处表允诺,也就是如果可以好好对待电脑,说话者就允许使用电脑,符合句意,正确;B选项must表示义务,意为“必须”(主观意志),代入句中意为“如果你爱护我的电脑,你必须使用我的电脑”,此处应该是表允许,并非是强制使用电脑,错误;C选项need用作情态动词时,意思为“需要”,通常只用于否定句、疑问句以及if或whether之后,一般不用于肯定句中,并且该句话想表达的是如果满足条件允许使用电脑,并非是需要电脑,逻辑不通,排除;D选项should表义务,意为“应该,宜做某件事”,可用于各种人称,代入句中表示“如果你爱护我的电话,就应该使用它”,该句话是说话人在表达使用电脑的条件,满足条件说话人就允许使用电脑,不涉及是否应该,是否宜做,排除。所以正确答案为A。故选A。。
+
+
+【题干】：The best way to _ a foreign language is to communicate with foreigners whenever possible. A. require B. acquire C. reflect D. select
+【答案】：B
+【解析】：【详解】 考查动词词义辨析。句意:学习一门外语的最好方法就是尽可能的与外国人进行交流。A. require要求;B. acquire 获得,习得;C. reflect反射,反思;D. select选择。根据下文的“to communicate with foreigners whenever possible.”可知,此处是指要学习一门语言要尽可能的与外国人交流,用acquire“习得”符合语境。故选B。。
+
+
+【题干】：Over the past decade, the number of Monarch butterflies _ significantly. A. has fallen B. fell C. is falling D. have fallen
+【答案】：A
+【解析】：【详解】 考查动词时态和主谓一致。句意:在过去的十年里,帝王蝶的数量显著下降。根据句中Over the past decade可知,句中的动作开始于过去,并持续到现在,应用现在完成时;the number of意为“……的数量”,后接可数名词复数,作主语时,谓语动词用单数,助动词应用has。故选A项。。
+
+
+【题干】：The coffee is amazing! It doesn’t taste like anything I _ before. A. was having B. have C. had ever had D. have ever had
+【答案】：D
+【解析】：【详解】 动词时态辨析。句意:咖啡太棒了!这种味道和我以前喝过的其他咖啡一点都不一样。根据before,这里表达“在此之前已经喝过的咖啡”,表示从过去到现在之间经历过的事情,要用现在完成时。故选D。。
+
+
+【题干】：The couple in the next room are always quarreling these days, and I’ve come to the point _ I can’t stand it any longer. A. where B. why C. which D. as
+【答案】：A
+【解析】：【详解】 考查定语从句。句意:隔壁那对夫妇最近总是吵架,已经到了我再也受不了的地步了。分析句子结构可知,本句是限定性定语从句,先行词是point,指物,在从句中做抽象地点状语,应用关系副词where引导。故选A。。
+
+
+【题干】：At first Robert wouldn’t let his daughter go diving, but _ he gave in as she was so confident about her skills. A. fortunately B. normally C. eventually D. regularly
+【答案】：C
+【解析】：【详解】 考查副词词义辨析。句意:一开始罗伯特不让他的女儿去潜水,但他最终还是让步了,因为她对自己的技术很有信心。A.fortunately幸运地;B.normally正常地;C.eventually最终地;D.regularly有规律地。根据“he gave in as she was so confident about her skills.”可知,父亲“最后”让步了。故选C。。
+
+
+【题干】：Sometimes we should ignore the persons and things _ upset us. A. who B. that C. which D. as
+【答案】：B
+【解析】：【详解】 考查定语从句。句意:有时候我们应该忽略那些让我们心烦的人和事。分析句子结构,_ upset us是一个定语从句,修饰先行词the persons and things,当先行词既有人又有物时,关系词只能用that。故选B项。。
+
+
+【题干】：Generally speaking, tiredness _ directly _ a driver’s response time. A. is; relate to B. is; related to C. be; relating to D. be; related to
+【答案】：B
+【解析】：【详解】 考查固定短语和主谓一致。句意:一般来说,疲劳与司机的反应时间直接相关。表示“与……相关”可知短语为be related to,此处陈述客观事实,应用一般现在时,主语为tiredness,谓语动词应用第三人称单数。故选B。。
+
+
+【题干】：The news _our football team won got around quickly. A. which B. what C. that D. whatever
+【答案】：C
+【解析】：【详解】 考查名词性从句。句意:我们足球队获胜的消息很快就传开了。分析句子可知,从句是对名词news的解释和说明,所以考查同位语从句。分析从句可知,从句不缺少成分且句意完整,所以用连接词that。故选C。。
+
+
+【题干】：Don’t make _ on the case before you look into it. A. remarks B. reviews C. access D. contacts
+【答案】：A
+【解析】：【详解】 考查名词词义辨析。句意:在你调查此案之前,不要对它发表评论。A. remarks言辞;B. reviews复习;C. access通道;D. contacts联系。make remarks on对……作出评论。根据“before you look into it.”可知,案件调查之前不要评论。故选A。。
+
+
+【题干】：They were _the approach of the enemy. A. warned of B. complained about C. applied to D. set aside
+【答案】：A
+【解析】：【详解】 考查动词短语词义辨析。句意:他们接到敌人逼近的警告。A. warned of警告;B. complained about对……抱怨;C. applied to运用,应用;D. set aside留出,不理会。根据“the enemy.”可知,warn sb. of sth.警告某人某事,根据句中的were可知,这里用被动,指他们收到警告。故选A。。
+
+
+【题干】：The demand for this product is _. A. in demand B. in need C. in response D. on the increase
+【答案】：D
+【解析】：【详解】 考查介词短语。句意:这种产品的需求正在增加。A. in demand非常需要的; 受欢迎的;B. in need在贫困中;在危难中;C. in response作为回答;D. on the increase正在增加。根据语境可知,此处指产品需求正在增加。故选D。。
+
+
+【题干】：She_ the children’s absence to tidy their rooms. A. made up B. made up for C. accounted for D. took advantage of
+【答案】：D
+【解析】：【详解】 考查动词短语词义辨析。句意:她利用孩子们不在的时候收拾他们的房间。A. made up组成;B. made up for弥补;C. accounted for导致;D. took advantage of利用。根据“to tidy their rooms”可知,利用孩子不在家的时间打扫他们的房间。故选D。。
+
+
+【题干】：Only then _the stress he was under. A. he realized B. did he realize C. had he realized D. he had realized
+【答案】：B
+【解析】：【详解】 考查倒装。句意:直到那时他才意识到他所承受的压力。“only+状语”位于句首,主句通常要使用部分倒装语序。根据句中的时态可知,用一般过去时。故选B。。
+
+
+【题干】：Do you think he is _ to come here? A. probable B. possible C. likely D. certainly
+【答案】：C
+【解析】：【详解】 考查形容词和副词辨析。句意:你认为他可能来这里吗? 分析本句可知,句中缺少形容词作表语。certainly是副词,意为“肯定,当然,,无疑”,所以排除。而probable、likely、possible这三个是形容词,都有“可能的”的意思,都可用于“it is probable/possible/likely to do sth or it is probable/ possible/likely that…”。但如果主语是人时,只能用 likely,即sb. be likely to do sth意为“某人有可能做某事”。故选C。。
+
+
+【题干】：Have you seen the film “Harry Potter” , _ director is world famous ? A. its B. it’s C. whose D. which
+【答案】：C
+【解析】：【详解】考查定语从句。句意:你看过《哈利波特》这部电影吗?这部电影的导演是世界著名的。分析句子可知这是一个非限定性定语从句,先行词为“the film “Harry Potter”《哈利波特》这部电影”,与从句主语“director(导演)”为所属关系,应使用关系代词whose引导从句,表示“《哈利波特》的导演”,故选C。。
+
+
+【题干】：Rather than _ the games ; he always prefers _ them . A. watch , to join in B. to watch , to join in C. watching , joining in D. watch , join in
+【答案】：A
+【解析】：【详解】考查固定句型。句意:他更愿意加入他们(一起比赛),而不是看比赛。固定句型:prefer to do A rather than do B表示“宁愿做A事而不愿做B事”,符合句意。所以第一空填入动词原形watch,第二空填入动词不定式to join in。故选A。。
+
+
+【题干】：Hard work can often _ a lack of ability. A. aim to B. make up for C. draw up D. have an impact on
+【答案】：B
+【解析】：【详解】 考查动词短语词义辨析。句意:勤奋常常可以弥补能力的不足。A. aim to旨在;B. make up for弥补;C. draw up起草;D. have an impact on对……有影响。这里指努力可以弥补能力上的不足。故选B。。
+
+
+【题干】：There is still an _ of excitement and joy in the city. A. atmosphere B. appointment C. advance D. assumption
+【答案】：A
+【解析】：【详解】 考查名词词义辨析。句意:这个城市仍有一种兴奋和喜悦的气氛。A.atmosphere 气氛,氛围;B.appointment 预约;C. advance 发展,前进;D.assumption 假设。分析题意,根据设空后“ excitement and joy”可知,此处在强调“氛围”。综合分析,故选A项。。
+
+
+【题干】：The next step in exploring _ outer space might be sending people there in _ spaceship. A. 不填; a B. 不填; 不填 C. the; 不填 D. the; the
+【答案】：A
+【解析】：【详解】 考查冠词。句意:探索外太空的下一步,可能是用宇宙飞船把人送到那里。outer space 表示“外部太空”, space作“空间”的意思时,是不可数名字;表示“空隙、空白”的时候是可数名词。;in a spaceship 乘坐宇宙飞船,介词如果是by,后接名词不用冠词,介词是in,要用不定冠词。故选A项。。
+
+
+【题干】：Much _ my pleasure, my leader promised to marry his daughter _ me. A. to; with B. with; with C. to; to D. with; to
+【答案】：C
+【解析】：【详解】 考查介词词义辨析。句意:令我高兴的是,我的领导答应把他的女儿嫁给我。第一个空是固定搭配,短语much to my pleasure“令我高兴的是”;第二个空由marry his daughter可知,要用介词to,后接行为对象me,即marry sb. to sb.“把某人嫁给某人”。故选C项。。
+
+
+【题干】：The teacher asked his students to stop _ and _ the blackboard carefully. A. talking; looking at B. to talk; to look at C. talking; to look at D. to talk; looking at
+【答案】：C
+【解析】：【详解】 考查非谓语动词。句意:老师让学生停止交谈,去仔细看黑板。stop后接动词时可接动名词或者动词不定式,但意思不一样,stop doing sth.停止做某事,表示“停下正在做的事”,stop to do sth.停下来去做某事,表示“停下来去做另外一件事”,结合语境可知,第一空表示“停止正在做的事”,应用动名词形式,第二空表示“停下去做另一件事”,应用动词不定式,故选C项。。
+
+
+【题干】：She was thinking of her friend _ Tom called her. A. as B. when C. until D. while
+【答案】：B
+【解析】：【详解】 考查连词词义辨析。句意:汤姆打电话给她时,她正在想她的朋友。A.as因为,在......期间;B.when在......时候;C.until直到......才;D.while在......期间。根据was thinking of 可知此处要用连词when,短语be doing...when... “正在做......就在那时”,是固定搭配。故选B项。。
+
+
+【题干】：The old ones soon _ the game. A. lose interesting in B. lost interested in C. lost interests in D. lost interest in
+【答案】：D
+【解析】：【详解】 考查固定短语。句意:老人们很快就对这个游戏失去了兴趣。分析题意,lose interest in 译为“对……失去兴趣”,为固定短语,故选D项。。
+
+
+【题干】：The man sitting in the front row _ and stared at us when we made so much noise. A. turned out B. turned round C. turn back D. turned to
+【答案】：B
+【解析】：【详解】 考查动词短语辨析。句意:当我们发出这么大的吵闹声时,坐在前排的那个人转过身来盯着我们。A. turned out生产,结果是;B. turned round转身;C. turn back往回走;D. turned to转向,求助于。根据“sitting in the front row”和“and stared at us”可知是那个人转身看着我们。故选B。。
+
+
+【题干】：You _ for a doctor because I feel quite all right now. A. needn’t have sent B. shouldn’t have sent C. should send D. needn’t send
+【答案】：A
+【解析】：【详解】 考查情态动词+have done。句意:你本来不必请医生来的,因为我现在感觉很好。分析题意,根据后句“因为我现在感觉很好”可知,医生已经请过了,而“我”却又不需要。needn’t have done 译为“本不必要却做了某事”。此处符合题意,故选A项。。
+
+
+【题干】：_ in her best clothes, the girl tried to make herself _ at the party. A. Dressed; noticed B. Dressing; to be noticed C. Get dressed; noticed D. Dressing; noticing
+【答案】：A
+【解析】：【详解】 考查非谓语动词。句意:女孩穿上她最好的衣服,试图使自己在晚会上被注意。短语be dressed in表示的是一种状态,此处去掉be,用过去分词作状语;herself与notice之间是逻辑上的动宾关系,表示被动,因此用过去分词作宾补。故选A项。。
+
+
+【题干】：Not until _ as an interpreter _ how important it was to grasp English. A. did I work; I realized B. did I work; did I realize C. I worked; I realized D. I worked; did I realize
+【答案】：D
+【解析】：【详解】 考查部分倒装。句意:直到我做了翻译,我才意识到掌握英语是多么重要。结合语境和was可知,本句陈述过去的事情,应用一般过去时;not until位于句首时,主句要进行部分倒装,即将“情态动词/be/助动词”置于主语之前,主句的谓语动词realize是实义动词,且本句为一般过去时,应将对应的助动词did置于主语I之前。故选D项。。
+
+
+【题干】：This is the very junior high school _ I have studied for four years. A. that B. in that C. where D. on which
+【答案】：C
+【解析】：【详解】 考查定语从句。句意:这正是我学习了四年的初中。在定语从句中,study为不及物动词,那么句子结构完整为主谓结构。先行词junior high school在定语从句中做地点状语,所以用关系副词where引导限制性定语从句。故此题选C。。
+
+
+【题干】：Sarah hopes to become a friend of _ shares her interests. A. anyone B. whomever C. no matter who D. whoever
+【答案】：D
+【解析】：【详解】 考查宾语从句:句意:Sarah希望成为能分享她兴趣的人的朋友。A. anyone任何一个人,用于否定句,疑问句中;B. whomever无论是谁,作宾语;C. no matter who无论谁,只能引导状语从句;D. whoever无论是谁,作主语。(whoever) shares her interests是宾语从句,作介词of的宾语,whoever在从句中作的是主语。故选D。。
+
+
+【题干】：We went to Mountain Tai last weekend, _ , not surprisingly, was crowded with visitors. A. that B. which C. where D. when
+【答案】：B
+【解析】：【详解】 考查定语从句。句意:上周末我们去了泰山,那里挤满了游客,这一点也不奇怪。Mountain Tai l为先行词,在非限制性定语从句中做主语。that不引导非限制性定语从句。综合分析,故选B项。。
+
+
+【题干】：Jenny can’t resist _ to buy the things that she doesn’t really need while shopping. A. being persuaded B. persuading C. to be persuaded D. to persuade
+【答案】：A
+【解析】：【详解】考查非谓语动词。句意:在购物时,珍妮禁不住被人劝去买她并不真正需要的东西。分析题意,根据固定搭配resist doing sth.(抵制做某事)可知,此处需填非谓语的动名词形式做宾语。另外,persuade和逻辑主语之间表示被动关系。综合分析,此处需用being done的形式做宾语。故选A项。。
+
+
+【题干】：We _ to paint the whole house but finished only the front part that day. A. set up B. set out C. set aside D. set off
+【答案】：B
+【解析】：【详解】 考查动词短语辨析。句意:我们开始粉刷整个房子,但那天只完成了前面的部分。A.set up建立; B.set out开始; C.set aside留出;D.set off出发。根据“paint the whole house”可知,set out to do sth意为“开始做某事”。符合句意。故选B。。
+
+
+【题干】：_ us long believing that talking plants are fantasy, new research has revealed something amazing: it appears that plants can communicate after all. A. Although B. For C. As D. With
+【答案】：D
+【解析】：【详解】考查介词。句意:长久以来,我们一直认为会说话的植物只是幻想,但最新研究揭示了一些惊人的事实:植物似乎还是可以交流的。分析题意,“_ us long believing ”为短语而非句子,故排除A和C。A项中的Although和C项中的As后接句子。D项中的with 符合“with+宾语+宾补”的符合结构。综合分析,故选D项。。
+
+
+【题干】：That river _ 250 kilometers long and 60 meters wide. A. measures B. is measured C. calculates D. is calculated
+【答案】：A
+【解析】：【详解】 考查动词辨析和主动表被动。句意:那条河长250公里,宽60米。measure表示“测量”,描述主语的属性时,用主动表被动,calculate表示“计算”,此处指河流的长宽等自然属性应用measure。故选A。。
+
+
+【题干】：It's getting dark, but there still are several boys basketball on the playground. A. playing B. played C. to play D. having played
+【答案】：A
+【解析】：【详解】 考查非谓语动词。句意:天渐渐黑了,但操场上仍有几个男孩在打篮球。根据句意和结构可知这句话使用现在分词作定语修饰several boys,因为boys和play是主动关系。故选A。。
+
+
+【题干】：It was difficult for me to understand what the expert was trying to in the speech, because I didn’t know about the local culture. A. make up B. catch up C. get across D. get along
+【答案】：C
+【解析】：【详解】 考查动词短语辨析。句意:我很难理解专家在演讲中想表达什么,因为我不了解当地的文化。A. make up弥补; B.catch up 赶上;C.get across (使)被理解,把……讲清楚;D.get along和睦相处。根据“It was difficult for me to understand”可知,该空意为“(使)被理解,把……讲清楚(get across)”,故选C项。。
+
+
+【题干】：The injured from the shock in the traffic accident are lying in the hospital at the moment. A. suffering B. suffered C. suffer D. to suffer
+【答案】：A
+【解析】：【详解】 考查非谓语动词。句意:遭受交通事故冲击的伤者们此刻躺在医院里。根据句意和结构可知这句话使用现在分词作定语修饰the injured,因为the injured和suffer是主动关系。故选A。。
+
+
+【题干】：When the girl opened the window the next morning, she was excited to find the whole ground with snow. A. to cover B. covering C. covered D. to be covered
+【答案】：C
+【解析】：【详解】 考查非谓语动词。句意:第二天早上,当女孩打开窗户时,她兴奋地发现整个地都被雪覆盖了。根据句意和结构可知这句话使用find+宾语+宾语补足语,ground和cover是动宾关系,用过去分词作宾语补足语。故选C。。
+
+
+【题干】：_the huge castle, it had a room with a 15-meter-high ceiling, which was only used on occasions when the upper-class family celebrated festivals or held parties. Which one is Wrong? A. When it comes to B. Speaking of C. Naming after D. In terms of
+【答案】：C
+【解析】：【详解】 考查固定短语辨析。句意:说到这座巨大的城堡,它有一个房间,有15米高的天花板,只有在上流社会家庭庆祝节日或举行聚会时才使用。A. When it comes to一谈到……;B. Speaking of说起……,谈到……;C. Naming after以……命名;D. In terms of就……而言,在……方面。题目让我们选择,哪一项短语放在空格处不合适。句子是在介绍城堡,A, B和D后面都可以加名词,用来引起某个话题,符合句意,Naming after意为“以……命名”,句子不是在介绍城堡的名字,故不符合句意。故选C项。。
+
+
+【题干】：How many of the following sentences are WRONG? a. What really matters is that each of them is able to find meaning and happiness no matter what his or her life is like. b. During the Renaissance, many great minds contributed on valuable artworks and made important scientific discoveries. c. People view the death of Lord Carnarvon at different perspectives and the pharaoh's angry spirit is not necessarily the real cause. d. The purpose of the experiment Lyn Hymers took part in was to see whether a modern-day family was capable to survive in the 1940s. A. 1 B. 2 C. 3 D. 4
+【答案】：C
+【解析】：【详解】 考查句子正误判断。题干:下列句子中有多少个是错误的?a. What really matters is that each of them is able to find meaning and happiness no matter what his or her life is like. 真正重要的是,他们每个人都能找到意义和幸福,不管他或她的生活是什么样子。a正确;b. During the Renaissance, many great minds contributed on valuable artworks and made important scientific discoveries. 在文艺复兴时期,许多伟人贡献了宝贵的艺术品,并做出了重要的科学发现。表示“贡献”短语为contribute to,b错误;c. People view the death of Lord Carnarvon at different perspectives and the pharaoh's angry spirit is not necessarily the real cause. 人们对卡那封勋爵之死有不同的看法,但法老愤怒的精神不一定是真正的原因。结合前后文语境可知为转折关系,应用连词but,c错误;d. The purpose of the experiment Lyn Hymers took part in was to see whether a modern-day family was capable to survive in the 1940s. Lyn Hymers参与的实验的目的是看看现代家庭是否有能力在20世纪40年代生存下来。分析句子结构可知take在句中应用非谓语动词形式,与逻辑主语Lyn Hymers构成主动关系,故应用现在分词作后置定语。d错误。可知选项中有三个句子错误,故选C。。
+
+
+【题干】：Because the situation of that country_, all the foreigners are preparing to leave. A. is getting worse B. got worse C. was getting worse D. had got worse
+【答案】：A
+【解析】：【详解】 考查时态。句意:因为那个国家的情况越来越糟,所有的外国人都准备离开。分析句子结构可知,这是一个原因状语从句,根据主句的谓语动词“are preparing to leave”是现在进行时,可推出,从句也应该用现在进行时态,表示因为正在变化中的情况,是主句正在发生着动作的原因和背景。故选A项。。
+
+
+【题干】：—May I speak to your manager at three o'clock tomorrow afternoon? —I'm sorry. He _ to Shanghai by then. A. will have flown B. had flown C. can have flown D. has flown
+【答案】：A
+【解析】：【详解】 考查时态。句意:——我可以在明天下午三点和你的经理通话吗?——不好意思。到那时他将已经飞去上海了。由时间状语by then“到那时”,then指的是three o'clock tomorrow afternoon,可知表示在将来某一时间之前已完成的动作,应用将来完成时will have done的形式。故选A。。
+
+
+【题干】：—My son got a full scholarship to his dream university! —Wow, _! What's he going to study? A. he is really something B. go for it C. what a coincidence D. all the best
+【答案】：A
+【解析】：【详解】 考查情景交际。句意:——我儿子得到了他梦想中的大学的全额奖学金!——哇,他真了不起!他要学什么?A. he is really something他真的很了不起;B. go for it努力争取;C. what a coincidence多么巧合;D. all the best祝一切顺利。由上文的My son got a full scholarship to his dream university可知,儿子得了梦想中的大学的全额奖学金,说话另一方说“他真的很了不起”符合语境,表示赞扬。故选A项。。
+
+
+【题干】：To be honest, I am not the person deserving the honor; it should be given to _ we think has made the greatest contribution. A. who B. whom C. whoever D. whomever
+【答案】：C
+【解析】：【详解】 考查宾语从句连接词。句意:老实说,我不是一个应该得到这个荣誉的人,应该把它送给我们认为作出最大贡献的人。介词to后接宾语从句,而宾语从句 we think has made the greatest contribution其中we think是插入语,可知从句不完整,缺主语成分,意为“无论谁、不管什么人”,用引导词whoever。故选C项。。
+
+
+【题干】：Failure is unavoidable in our lives._, many people viewed failure as the beginning of their struggle, rather than the end of it. A. Lately B. Approximately C. Fortunately D. Naturally
+【答案】：C
+【解析】：【详解】 考查副词。句意:在我们的生活中,失败是不可避免的。幸运的是,很多人把失败看作是奋斗的开始,而不是结束。A. Lately最近;B.Approximately大约;C. Fortunately幸运的是;D. Naturally自然而然地。后文提到“…viewed failure as the beginning of their struggle”,是指好的方面,应用副词fortunately。故选C。。
+
+
+【题干】：The foreign guests, _ were government officials, were warmly welcomed at the airport. A. most of them B. most of that C. most of whom D. most of those
+【答案】：C
+【解析】：【详解】 考查非限制性定语从句。句意:这些外国客人,其中大多数是政府官员,在机场受到热烈欢迎。分析句子,本句是非限制性定语从句,先行词是guests,指人,作of的宾语,故选C。。
+
+
+【题干】：When I said some students were so lazy, I _ to you. A. don’t refer B. wasn’t referring C. didn’t refer D. hasn’t referred
+【答案】：B
+【解析】：【详解】 考查动词时态。句意:当我说有些学生懒惰的时候,我不是在说你。结合前后文语境可知,指过去的某一个时间点正在发生的事情,应用过去进行时,主语为I,谓语动词应用was。故选B。。
+
+
+【题干】：Have you read all the information that this case? A. relate B. relate to C. relates to D. relates
+【答案】：C
+【解析】：【详解】 考查动词短语和主谓一致。句意:你读过所有与这个案子相关的信息了吗?表示“与……相关”短语为relate to,在定语从句中作谓语,且“that this case”为定语从句修饰先行词information,先行词在从句中作主语,从句为一般现在时,谓语动词与先行词保持一致,information是不可数名词,故谓语动词应用第三人称单数形式。故选C。。
+
+
+【题干】：Which word doesn’t contain the sound [æ]? A. character B. attitude C. calligraphy D. anger
+【答案】：C
+【解析】：【详解】考查语音辨析。句意:哪个单词不包含发音[æ]?A.character[ˈkærəktə(r)]性格;B.attitude[ˈætɪtjuːd]态度;C.calligraphy [kəˈlɪgrəfi]书法;D. anger[ˈæŋɡə(r)]愤怒。分析选项可知,C项符合题意。故选C项。。
+
+
+【题干】：Housework has _ been viewed as women’s work. What part of speech(词性) can be used in the blank? A. Noun(名词) B. Adjective(形容词) C. Verb (动词) D. Adverbial(副词)
+【答案】：D
+【解析】：【详解】 考查副词。句意:家务活 已经被视为女性的工作。什么词类可以用在空白处?分析句子可知,句中空格处应该填句子的修饰成分,可以修饰整句或动词,需用副词。故选D项。。
+
+
+【题干】：The company is _ a period of great change, and no one knows if their job is safe. A. going through B. getting through C. looking through D. breaking through
+【答案】：A
+【解析】：【详解】 考查动词短语辨析。句意:公司正处于大变革时期,没人知道自己的工作是否安全。A. going through经受;B. getting through熬过;C. looking through浏览;D. breaking through突破。根据“and no one knows if their job is safe”可知,没人知道自己的工作是否安全,这说明公司正在经历大变革,故选A。。
+
+
+【题干】：The White Horse Temple, _ back to the Eastern Han Dynasty, has a history of more than 1,900 years. A. dates B. dated C. dating D. to date
+【答案】：C
+【解析】：【详解】 考查非谓语动词辨析。句意:白马寺始建于东汉,距今已有1900多年的历史。分析句子可知,date在句子中不作谓语,且与其逻辑主语The White Horse Temple是主动关系,所以用现在分词形式作状语。故选C项。。
+
+
+【题干】：_ he goes, he brings happiness and laughter to people. A. Wherever B. Whichever C. However D. Whatever
+【答案】：A
+【解析】：【详解】 考查状语从句。句意:无论他去到哪儿,他都会把欢笑和快乐带给人们。A. Wherever无论哪儿; B. Whichever 无论哪一个;C. However 无论怎样,然而;D. Whatever无论什么。由句意可知,这是一个让步状语从句,缺少地点状语,所以应使用wherever(无论哪儿)引导从句,表示“无论他去到哪儿”,故选A项。。
+
+
+【题干】：No matter how bright a talker you are, there are times _ it's better to remain silent. A. that B. when C. why D. which
+【答案】：B
+【解析】：【详解】考查定语从句。句意:不管你多么健谈,有时候还是保持沉默比较好。分析句子结构结合句意可知此处包含一个定语从句,先行词为times(有时候),表示时间,从句缺少时间状语,所以应使用关系副词when引导从句,故选B项。。
+
+
+【题干】：Would you mind if I _you a personal question? A. ask B. asking C. will asked D. asked
+【答案】：D
+【解析】：【详解】考查虚拟语气。句意:你介意我问你一个私人问题吗?在“Would you mind if 从句”句型中,从句谓语常用一般过去时进行虚拟,故选D。。
+
+
+【题干】：Another primary school is claimed _ for children in our city now. A. being built B. to have built C. to have been built D. to be building
+【答案】：C
+【解析】：【详解】 考查动词不定式。句意:据说我们城市现在又为孩子们建了一所小学。be claimed to do sth.宣称做了某事,固定搭配,所以排除选项A,因为修建学校这个动作在谓语动词claim之前发生,所以空处动词不定式需用其完成时态,因为是被修建,所以空处需用动词不定式的完成时态,综上用to have been done。故选C。。
+
+
+【题干】：Many people are _ the new policy. A. in favor of B. in honor of C. in search of D. in case of
+【答案】：A
+【解析】：【详解】 考查介词短语辨析。句意:许多人赞成这项新政策。A.in favor of 喜欢,支持; B.in honor of 向......致敬,向......表示敬意, 为庆祝...... ; C. in search of 寻找; D.in case of 万一。根据句意,此处表示对新政策, 大家表示“支持”。A项符合题意,故选A项。。
+
+
+【题干】：Helen always helps her mother even though going to school _ most of her day. A. takes on B. takes over C. takes off D. takes up
+【答案】：D
+【解析】：【详解】 考查动词短语辨析。句意:即使上学占用了海伦一天中的大部分时间,她仍然总是帮助她的母亲。A. takes on呈现,雇佣;B. takes over接管,接收;C. takes off起飞,脱下;D. takes up占用,花费,拿起,接受。结合句意的需要,选择take up合乎语境,即海伦上学一事占用了她一天中的大多数时间。故选D项。。
+
+
+【题干】：Yesterday he sold out all his stamps at _ he thought was a reasonable price. A. that B. which C. what D. as
+【答案】：C
+【解析】：【详解】 考查宾语从句连接词。句意:昨天他把他所有邮票以他认为合理的价格卖掉了。介词at后为宾语从句,he thought为插入语,从句中缺少主语,指“合理的价格”应用what。故选C。。
+
+
+【题干】：- What do you want to do next? We have half an hour until the basketball game. - _. Whatever you want to do is fine with me. A. It just depends B. It’s totally up to you C. That’s all right D. Glad to hear that
+【答案】：B
+【解析】：【详解】 考查情景交际及习惯表达。句意:——接下来你想做什么?离篮球赛还有半小时。——_。你想做什么我都可以。A. It just depends视情况而定;B. It’s totally up to you完全由你决定;C. That’s all right没关系;D. Glad to hear that很高兴听到你这样说。由后一句句意“你想做什么我都可以。”可知,后者完全愿意由前者来决定接下来做什么。故选B项。。
+
+
+【题干】：These mistakes are very _ among students, so we’re not surprised if you do wrong. A. ordinary B. common C. usual D. normal
+【答案】：B
+【解析】：【详解】 考查形容词词义辨析。句意:这些错误在学生中很常见,所以如果你做错了,我们并不感到惊讶。A. ordinary平凡的,一般的;B. common普通的;C. usual通常的;D. normal正常的。由“ we’re not surprised if you do wrong”可知,如果你做错了,我们并不感到惊讶,说明这些错误在学生中很常见。故选B项。。
+
+
+【题干】：Even though we _ a lot due to the natural disaster, moments when we could be together with our family gave us hope for the future. A. have lost B. had lost C. were losing D. would lose
+【答案】：B
+【解析】：【详解】 考查动词时态。句意:虽然我们在自然灾害中失去了很多,但我们能与家人在一起的时刻给了我们对未来的希望。结合句意,可知从句的动作发生在谓语动词gave之前,为“过去的过去”应用过去完成时,故答案为B。。
+
+
+【题干】：How dangerous! Your car might have fallen off the bridge, but you _ lucky, indeed. A. are B. were C. have been D. had been
+【答案】：B
+【解析】：【详解】 考查时态。句意:多危险啊!你的车可能会从桥上掉下来,但你确实很幸运。根据Your car might have fallen off the bridge可知这里是对过去发生的动作进行推测,but之后的句子用一般过去时,故选B。。
+
+
+【题干】：For some unknown reasons, I don't feel I can trust him. Which of the following can best replace the underlined part? A. Somehow B. Indeed C. Actually D. Unlikely
+【答案】：A
+【解析】：【详解】 考查副词词义辨析。句意:不知为什么,我觉得我不能信任他。以下哪一项最能取代划线部分?A. Somehow不知怎么地;B. Indeed的确,实在;C. Actually实际上;D. Unlikely未必。画线部分表示“不知为什么”,与A选项somehow意思最为接近。故选A。。
+
+
+【题干】：We lost three games and in two of the games we were leading 1 - 0 with 20 minutes_ . A. are gone B. going C. went D. to go
+【答案】：D
+【解析】：【详解】 考查with的复合结构中的不定式做宾补。句意:我们输了三场比赛,其中两场比赛,我们在比赛还剩20分钟时以1比0领先。with的复合结构常用形式为:with + 宾语(名词) + 补语(不定式、现在分词和过去分词),根据宾语和补语之间的逻辑关系,当为主谓关系且表示的动作为即将发生时,补语用不定式;当为主谓关系且动作表示正在发生,补语用现在分词;当为动宾关系,动作为被动时,用过去分词。根据句意可知,比赛的时间为即将结束前的20分钟,所以mintue和go为主动关系且表示将来,所以go要用不定式。故选D。。
+
+
+【题干】：He has a talent _ acting. No one can _him as an actor. A. for; win B. in; win C. in; beat D. for; beat
+【答案】：D
+【解析】：【详解】 考查介词和动词辨析。句意:他有表演的天赋。作为演员,没有人能够打败他。have a talent for(doing)sth“在某方面有天赋”是固定搭配。beat和win的区别是:win意思是是“赢”、“获胜”,是取得游戏、比赛的胜利;而beat是打败某人或者某个集体,侧重与打败了某人或某个集体。故选D项。。
+
+
+【题干】："The older a dad is, the worse his children _ do in intelligence tests," said study leader John McGrath from the University of Queensland. A. intend to B. tend to C. aim to D. attend to
+【答案】：B
+【解析】：【详解】 考查动词短语辨析。句意:昆士兰大学的研究负责人约翰·麦格拉思说:“父亲年龄越大,他的孩子在智力测试中的表现就越差。”A. intend to打算;B. tend to倾向于;C. aim to旨在,目的是;D. attend to照顾。结合语境可知,此处表示父亲的年龄越大,孩子在智力测试中的表现倾向于很差。故选B。。
+
+
+【题干】：Bob moved to another city last year, but still_a good relationship with his old neighbors currently. A. acquires B. delivers C. maintains D. enables
+【答案】：C
+【解析】：【详解】 考查动词词义辨析。句意:Bob 去年搬到了另一个城市,但目前仍旧和他的老邻居保持很好的关系。A.acquire获得,得到;B.deliver发表,传送;C.maintain维持,保持;D.enable使能够。结合句意可知,Bob和老邻居是保持着很好的关系。故选C。。
+
+
+【题干】：We need to take a different_to solving the problem. A. way B. approach C. method D. means
+【答案】：B
+【解析】：【详解】 考查名词词义辨析。句意:我们需要用不同的方法来解决这个问题。四个选项均有“方法”的词义。way:普通用词,可指一般的方法,有时也指个人的方法或方式,也可指特殊的方式或方法;approach: 指处理某事的特别方法、途径,一般和to连用;means:指为达到某种目的或目标而采用的方法、手段或途径;method: 指有系统、有条理地办事或解决问题的方法。本题由different可知,是解决某事的特别的不同方法,空格后的介词to与approach搭配。故选B项。。
+
+
+【题干】：Your appointment will be canceled immediately if you fail to arrive at the scene at the_time. A. additional B. unique C. informal D. appointed
+【答案】：D
+【解析】：【详解】 考查形容词词义辨析。句意:如果您未能在指定时间到达现场,您的预约将会被立即取消。A. additional附加的,额外的;B. unique独特的;C. informal非正式的;D. appointed指定的。结合上文“Your appointment will be canceled immediately”可知预约被取消应当是因为未能在指定时间到达现场,应用appointed。故选D。。
+
+
+【题干】：_ the last two years, the total cost has been reduced by 19 percent. A. To compare with B. Comparing to C. Comparing with D. Compared with
+【答案】：D
+【解析】：【详解】 考查动词短语辨析和非谓语动词。句意:与过去两年相比,总成本下降了19%。compare to…把……比作……,compare with…把……和……比较,根据句意可知,此处是把现在和过去比较,需用固定短语compare with,本句已有谓语动词 reduced,且空处没有连词,所以空处需用非谓语动词作状语,动词compare与主句主语the total cost之间是被动关系,所以空处需用过去分词compared作状语。故选D。。
+
+
+【题干】：An island is a small piece of land _ by water. A. surrounded B. surrounding C. to be surrounded D. being surrounded
+【答案】：A
+【解析】：【详解】 考查非谓语动词。句意:岛屿是一小块被水包围的陆地。分析句子结构可知,本句已有be动词 is,且空处没有连词,所以空处需用非谓语动词作后置定语修饰名词land,根据空后by water可知,此处动词surround与名词land之间是被动关系,所以空处需用过去分词surrounded作后置定语。故选A。。
+
+
+【题干】：Jill was sitting on the floor, _. A. boxes surrounding B. was surrounded by boxes C. is surrounded by boxes D. surrounded by boxes
+【答案】：D
+【解析】：【详解】 考查非谓语动词。句意:吉尔坐在地上,周围都是箱子。分析句子结构可知,surround在句中应用非谓语动词形式,与逻辑主语Jill构成被动关系,故应用过去分词作状语。故选D。。
+
+
+【题干】：_, there was no mistaking that she was displeased. A. As her words were gently spoken B. Spoken as her words were gently C. Whereas her words gently spoken D. Gently as her words were spoken
+【答案】：D
+【解析】：【详解】 考查让步状语从句和倒装句。句意:她的话虽然说得很温和,但毫无疑问她很不高兴。根据句意可知,空处需用as引导让步状语从句,as作“虽然”解,引导让步状语从句 时,必须将表语、状语或动词原形提到as前面,其结构为:名词/形容词/副词+as+其它,结合选项可知,Whereas“然而”不符合句意,C项错误,A项不倒状语,错误;B项是谓语动词提前,错误;故选D。。
+
+
+【题干】：Here _ the president. A. is coming B. does come C. comes D. is come
+【答案】：C
+【解析】：【详解】 考查倒装。句意:总统来了。地点状语here置于句首时,全句用全倒装,其结构为:地点状语+谓语+主语,本句陈述事实,所以空处谓语动词需用一般现在时态,主语是单数 the president,谓语动词需用单数comes。故选C。。
+
+
+【题干】：Only in this way, _ good grades in this examination. A. can we get B. we can get C. we are getting D. we will get
+【答案】：A
+【解析】：【详解】 考查部分倒装。句意:只有这样,我们才能在这次考试中取得好成绩。表示“只有……才能……”短语为only...can...,故排除C、D选项;且“only+状语/状语从句”位于句首时,句子的主语和谓语或主句中的主语和谓语要部分倒装,即将can提前到主语we之前。故选A。。
+
+
+【题干】：_ the temperature falling so rapidly, we couldn’t go on with the experiment. A. Since B. For C. As D. With
+【答案】：D
+【解析】：【详解】 考查with的复合结构。句意:随着温度急剧下降,我们无法继续进行实验。A. Since自从……以来,因为;B. For为了;C. As正如,随着;D. With随着。根据后文“the temperature falling so rapidly”可知此处为with的复合结构“with+宾语+宾补”。故选D。。
+
+
+【题干】：If you _ working like that, you’ll make yourself ill sooner or later. A. set out B. bring out C. carry on D. drive away
+【答案】：C
+【解析】：【详解】 考查动词短语辨析。句意:如果你继续这样工作,你迟早会生病的。A. set out出发;B. bring out出版;C. carry on继续;D. drive away赶走,(把车)开走。根据后文“you’ll make yourself ill sooner or later.”可知此处表示继续这样工作,迟早会生病,应用carry on。故选C。。
+
+
+【题干】：The number of tourists_ by at least 20% last year because of the slow-growing economy. A. rewarded B. declined C. prepared D. donated
+【答案】：B
+【解析】：【详解】 考查动词词义辨析。句意:由于经济增长缓慢,去年游客数量至少下降了20%。A. rewarded奖赏;B. declined下降;C. prepared准备;D. donated捐赠。根据后文“because of the slow-growing economy”可知,因为经济增长缓慢,所以去年游客数量下降了,应用decline。故选B。。
+
+
+【题干】：We have three foreign teachers, two of _ are from Canada. A. that B. whom C. them D. who
+【答案】：B
+【解析】：【详解】 考查定语从句。句意:我们有三位外籍教师,其中两位来自加拿大。此处为非限制性定语从句修饰先行词teachers,且作介词of的宾语,指人,故应用关系代词whom。故选B。。
+
+
+【题干】：What would you do if the war against COVID-19 again in China? A. is broken out B. will break out C. were to break out D. would break out
+【答案】：C
+【解析】：【详解】 考查虚拟语气。句意:如果中国再次爆发抗新冠肺炎战争,你会怎么做?此句是与将来事实相反的虚拟语气,主句中用would+动词原形,if从句中用were to+动词原形,break out“爆发,发生”没有被动语态。故选C。。
+
+
+【题干】：It's not a waste of time and energy you gain experience related to your job. A. even if B. ever since C. as long as D. as though
+【答案】：C
+【解析】：【详解】 考查连词辨析。句意:只要你能获得与工作相关的经验,这就不是浪费时间和精力。A.even if即使; B.ever since自从; C.as long as只要; D.as though似乎。“能获得与工作相关的经验”是“就不是浪费时间和精力”的先提条件,所以as long as符合语境。故选C。。
+
+
+【题干】：for the failure to accomplish the task, Tom was in no mood for the concert tonight. A. To blame B. Blamed C. Blaming D. To be blamed
+【答案】：B
+【解析】：【详解】 考查非谓语动词。句意:由于没能完成任务而受到责备,汤姆今晚没心情听音乐会。表示“因……被责备”短语为be blamed for,此处省略be动词,用过去分词作状语。故选B。。
+
+
+【题干】：One of the that people have is the side effect of the medicine for the disease. A. concerns B. categories C. boundaries D. booms
+【答案】：A
+【解析】：【详解】 考查名词词义辨析。句意:人们担忧的问题之一是这种药对疾病的副作用。A. concerns 关心,担忧;B. categories类别,范畴;C. boundaries界限;D. booms繁荣。根据“the side effect of the medicine”可知,是人们担忧药物副作用的问题。故选A项。。
+
+
+【题干】：As is known, a baby often its needs by crying loudly instead of speaking its mind directly. A. explores B. communicates C. involves D. replaces
+【答案】：B
+【解析】：【详解】 考查动词词义辨析。句意:众所周知,婴儿经常通过大声哭泣来表达自己的需求,而不是直接说出自己的想法。A. explores探索;B. communicates传达,交流;C. involves包含,牵涉;D. replaces替代。结合后文“its needs by crying loudly”可知婴儿通过大声哭泣来表达自己的需求,应用动词communicate。故选B。。
+
+
+【题干】：Jenny narrowly missed the flight oversleeping in the morning. A. as for B. up to C. due to D. but for
+【答案】：C
+【解析】：【详解】 考查固定短语辨析。句意:由于早上睡过头,Jenny差点错过航班。A. as for至于;B. up to由……决定,一直到;C. due to由于,因为;D. but for要不是,如果没有。根据前后文语境可知,Jenny差点错过航班,是由于早上睡过头,应用due to。故选C。。
+
+
+【题干】：Finding information in today’s world is easy. The _is how you can tell if the information you get is useful or not. A. inquiry B. challenge C. victim D. universe
+【答案】：B
+【解析】：【详解】 考查名词词义辨析。句意:在当今世界寻找信息很容易,挑战在于你如何判断你得到的信息是否有用。A. inquiry调查;B. challenge挑战;C. victim受害人;D. universe宇宙。根据句意,前文说找信息很容易,后文表示对比,故选“挑战”,故选B项。。
+
+
+【题干】：The boy was found seated on a bench,completely _in a novel. A. defeated B. delivered C. absorbed D. exposed
+【答案】：C
+【解析】：【详解】 考查动词词义辨析。句意:有人发现那男孩坐在长凳上,全神贯注地看小说。A. defeated击败;B. delivered递送;C. absorbed吸引;D. exposed暴露。be absorbed in专心于、全神贯注于,此处省略be作状语,故选C。。
+
+
+【题干】：The salesgirl is very good at _difficult customers, which pleases the manager very much. A. confusing B. expanding C. disturbing D. handling
+【答案】：D
+【解析】：【详解】 考查动词词义辨析。句意:女售货员很擅长应付难应付的顾客,这使经理很高兴。A. confusing使困惑;B. expanding扩大;C. disturbing打扰;D. handling应付。句中涉及固定短语“be good at doing sth.”,意为“擅长做某事”,根据句意可知,女售货员是擅长“应付”难应付的顾客,经理才会感到高兴。故选D项。。
+
+
+【题干】：The idea that the earth was flat and the sun moved around the earth was _centuries ago. A. instructed B. polluted C. rejected D. reduced
+【答案】：C
+【解析】：【详解】 考查动词词义辨析。句意:地球是平的,太阳绕着地球转的观点在几个世纪前就被否定了。A. instructed指导;B. polluted污染;C. rejected否认;D. reduced减少。根据句子结构,本句的主语是The idea,that引导同位语从句,结合句意,本句表示地心说的观点被否认了,故选C项。。
+
+
+【题干】：_Jay Chou's newly-released song "Won't Cry" met with instant financial success, public opinions have been divided. Some people insist it is unoriginal. A. While B. When C. Because D. As
+【答案】：A
+【解析】：【详解】 考查状语从句。句意:虽然周杰伦最新推出的歌曲"Won't Cry"在经济上快速获得了成功,但舆论众说纷纭。有些人坚持认为这首歌是非原创的。分析句子可知,从句所说的“经济效益明显”和主句“舆论众说纷纭”前后存在让步关系,故“_Jay Chou's newly-released song "Won't Cry" met with instant financial success”应该是一个让步状语从句。选项中“while”以及“as”都可引导让步状语从句,表“虽然,尽管”之意,但“as”引导让步状语从句需要倒装,本题中并未用倒装句,因此选择“while”来引导此让步状语从句。故选A项。。
+
+
+【题干】：The Premier says that bilateral relations will grow smoothly and steadily_both countries follow the principle in the joint documents. A. as far as B. though C. unless D. as long as
+【答案】：D
+【解析】：【详解】 考查条件状语从句和从属连词。句意:总理说只要两国遵守联合公告的原则,那么双边的关系就会顺利地、稳定地发展。A.as far as据……,就……;B.though虽然,尽管;C.unless除非,如果不;D.as long as只要。分析句子可知,句子为条件状语从句,空格后句为空格前句的条件。根据句意可知,句中指“只要”遵守联合公告,双边的关系就会顺利地、稳定地发展,故应用as long as引导从句。故选D项。。
+
+
+【题干】：A college freshman complained on her Weibo post that her mother_to give her only 2000 yuan each month for living expenses when she asked for 4.500 yuan, which sparked off massive online debate. A. had agreed B. would agree C. agreed D. was agreeing
+【答案】：C
+【解析】：【详解】 考查动词的时态。句意:一名大一新生在微博上抱怨说,当她向母亲索要4500元时,母亲同意每月只给她2000元生活费,这在网上引发了热议。根据主句的complained(抱怨),可知从句应用过去的时态,结合从句中"...when she asked for 4.500 yuan..."(当她向母亲索要4500元时),母亲同意每月只给她2000元生活费。在that引导的宾语从句中,从句和主句的动作几乎同时发生,故应用一般过去时态。故答案为C。。
+
+
+【题干】：—Has the doctor _the old woman of her illness? —No, he _ her but didn’t _ her. A. cured; treated; treat B. cured; cured; treat C. treated ; treated; cure D. cured ; treated; cure
+【答案】：D
+【解析】：【详解】 考查动词词义辨析。句意:——医生治好了老太太的病了吗?——没有,他治疗了,但没有治好。cure治愈(表示结果),cure sb of sth意为“ 治愈(某人)的(病)”,是固定搭配,treat治疗(表示过程)。根据句意,故选D项。。
+
+
+【题干】：Which of the following sentences is correct? A. Consequently, this text will describe only the most important ones, starts from the sixth century A D. B. During the Renaissance, new ideas and values gradually replaced those that held in the Middle Ages. C. When people first saw his paintings, they convinced that they were looking through a hole in a wall at a real scene. D. Among the painters who broke away from the traditional style of painting were the Impressionists, who lived and worked in Paris.
+【答案】：D
+【解析】：【详解】 考查句子判断。句意:下面哪个句子是正确的? A. Consequently, this text will describe only the most important ones, starts from the sixth century AD. (因此,本文将仅描述从公元六世纪开始的最重要的几个时期。)本句错误,本句已有谓语动词describe,所以此处starts错误,应该使用其非谓语动词形式,动词start与主句之间是主语关系,所以此处需用现在分词starting作定语,本句正确形式为:Consequently, this text will describe only the most important ones, starting from the sixth century AD.;B. During the Renaissance, new ideas and values gradually replaced those that held in the Middle Ages.(文艺复兴时期,新的思想和价值观逐渐取代了中世纪的思想和价值观。)本句错误,定语从句的动词held与先行词those(观点)之间是被动关系,所以此处定语从句谓语动词需were held,或将关系代词that去掉,用过去分词held作后置定语,本句的正确形式为:During the Renaissance, new ideas and values gradually replaced those held in the Middle Ages./ During the Renaissance, new ideas and values gradually replaced those that were held in the Middle Ages.;C. When people first saw his paintings, they convinced that they were looking through a hole in a wall at a real scene.(当人们第一次看到他的画时,他们确信他们是从墙上的一个洞看到的是一个真实的场景),本句错误,sb. be convinced that…人们确信……,固定搭配,由前文saw可知,此处be动词需用一般过去时,主语是第三人称复数they,所以be动词需用were,本句正确形式为:When people first saw his paintings, they were convinced that they were looking through a hole in a wall at a real scene. ;D. Among the painters who broke away from the traditional style of painting were the Impressionists, who lived and worked in Paris.(在那些打破传统绘画风格的画家中有生活和工作在巴黎的印象派画家。)分析句子结构可知,本句正确,主语是the Impressionists,本句用了全倒装,who引导的都是定语从句。由此可知,选项D的句子正确。故选D。。
+
+
+【题干】：Which of the following sentences is correct? A. If you start to feel nervous or stressful, do not reach for a cigarette. B. Don’t choose a day that you know it is going to be stressful, such as the day of an exam. C. It is only when the disease has progressed to AIDS that a person begins to look sick. D. Anyone who has sex with a person infected with HV/AIDS risks to get the virus.
+【答案】：C
+【解析】：【详解】 考查形容词词义辨析、定语从句和非谓语动词。A项句意:如果你开始感到紧张或压力,不要伸手去拿烟。stressed译为“紧张的、有压力的”多修饰人;而stressful译为“压力重的、产生压力的”多修饰物。此处表示人是感受到压力的,所以要用stressed来做feel的表语。故A项错误。B项句意:不要选择一个你知道会有压力的日子,比如考试那天。在定语从句中,you know做插入语,a day做先行词,在定语从句中作主语,由关系代词that引导限制性定语从句,所以句中的主语it是多余的应该删去。故B项错误。D项句意:任何人与HV/AIDS感染者发生性关系都有感染病毒的风险。risk(冒险)后应该跟动名词作宾语,所以to get应该改为getting。故D项错误。C项句意:只有当疾病发展到艾滋病时,一个人才开始看起来生病了。C项句子正确。故此题选C。。
+
+
+【题干】：Look around when _ the street. A. across B. crossing C. crossed D. to be crossing
+【答案】：B
+【解析】：【详解】 考查时间状语从句中的省略。句意:过马路时应先环顾四周。在when引导的时间状语从句中,若主语与主句主语一致并且谓语是be的形式时,可将“主语+be”同时省略,该从句可以表达为when you are crossing the street,题干中省略了you are,故选项B符合题意,故选B。。
+
+
+【题干】：We'll eat some of the meat for lunch and keep _ for supper. A. the ones B. the rest C. the others D. the few
+【答案】：B
+【解析】：【详解】 考查名词。句意:我们午餐吃些肉,剩下的留作晚饭。结合句子后面 for lunch(作为午餐)和 for supper(作为晚餐)来看,应当是把早餐吃剩下的肉当做晚餐,而rest 就有“剩下”的意思,用定冠词the表特指,因为meat不可数,故此处用the rest 代指剩下的肉。故选B项。。
+
+
+【题干】：Betty is good _ kids. She wants to be a teacher in the future. A. for B. to C. with D. at
+【答案】：B
+【解析】：【详解】 考查固定短语。句意:Betty对小孩子很好,她将来想成为一名教师。A. for 对于,为了;B. to向;C. with 和;D. at在......。根据句意可知,此处用短语be good to sb. “对某人好”符合语境。故选B。。
+
+
+【题干】：He chose to face his problem _ running away. A. such as B. instead of C. because of D. according to
+【答案】：B
+【解析】：【详解】 考查介词短语。句意:他选择面对问题而不是逃避。A. such as 例如;B. instead of 代替;而不是;C. because of 因为;D. according to 根据。分析句子可知,face his problem和 running away是对比关系,所以instead of满足逻辑和句意要求,故选B。。
+
+
+【题干】：The adoption of new teaching methods is the most important factor that has to his success in teaching. A. objected B. contributed C. devoted D. responded
+【答案】：B
+【解析】：【详解】 考查动词词义辨析。句意:新教学方法的采用是促成他教学成功最重要的因素。A. objected反对;B. contributed贡献,促成;C. devoted 贡献;D. responded回应。根据“his success in teaching.”可知,此处是指这个因素促成了他教学的成功,用contribute to“促成”符合,故选B。。
+
+
+【题干】：Some animals are born with special physical features that allow them to extreme weather conditions and complex terrains. A. survive B. challenge C. maintain D. remain
+【答案】：A
+【解析】：【详解】 考查动词词义辨析。句意:有些动物生来就有特殊的生理特征,这使它们能够在极端天气条件和复杂地形下生存下来。A. survive幸存;B. challenge挑战;C. maintain维持,继续;D. remain逗留,保持,依然。结合后文“extreme weather conditions and complex terrains”可知动物生来就有的生理特征使它们能够在极端天气条件和复杂地形下生存下来,应用survive。故选A。。
+
+
+【题干】：If you watch ,you may notice animal trainers always give the animals a piece of candy of a piece of fruit as a reward. A. willingly B. regularly C. generally D. closely
+【答案】：D
+【解析】：【详解】 考查副词词义辨析。句意:如果你仔细观察,你会发现驯兽师总是给动物一块糖果或一块水果作为奖励。A. willingly愿意地;B. regularly定期地;C. generally通常;D. closely仔细地。此处修饰动词watch,表示“仔细观察”应用副词closely。故选D。。
+
+
+【题干】：The brochure is beautifully laid out and ,reflecting the quality image of the famous historic city of Toledo. A. illustrated B. introduced C. implemented D. connected
+【答案】：A
+【解析】：【详解】考查动词词义辨析。句意:这本小册子布局精美,图文并茂,反映了著名历史城市托莱多的优质形象。A.illustrated图解;B.introduced介绍;C.implemented执行;D.connected联系。根据“beautifully laid out ”(布局精美)可知此处表示“图文并茂的、有图解的”,故选A。。
+
+
+【题干】：Anger is not the most useful or acceptable reaction when one is being treated unfairly. A. essentially B. completely C. necessarily D. undoubtedly
+【答案】：C
+【解析】：【详解】 考查副词词义辨析。句意:当一个人受到不公平对待时,愤怒不一定是最有用或最可接受的反应。A. essentially本质上;B. completely完全地;C. necessarily必定地;D. undoubtedly确实地。分析句子可知,此处应表示“愤怒不一定是最有用或最可接受的反应”。故选C项。。
+
+
+【题干】：With the growing demand from the younger consumers and fast development of technology, most financial firms nowadays are to abandon cash payment. A. amazed B. keen C. ashamed D. content
+【答案】：B
+【解析】：【详解】 考查形容词词义辨析。句意:随着年轻消费者需求的增长和技术的快速发展,当今大多数金融公司都渴望放弃现金支付。 amazed惊奇的;keen渴望的;ashamed惭愧的;content满足的。根据句意,年轻消费者的需求和科技发展促使现金支付的废弃,因此金融公司渴望废弃现金支付,be keen to do sth渴望做某事。故选B。 【点睛】。
+
+
+【题干】：As part of the Kids Live Well , participating restaurants must promise to offer at least one children’s meal that has fewer than 600 calories,not soft drinks and at least two items from the designated food groups. A. activity B. purpose C. initiative D. rush
+【答案】：C
+【解析】：【详解】 考查名词词义辨析。 句意:作为Kids Live Well倡议的一部分,参与的餐厅必须承诺提供至少一份低于600卡路里的儿童餐,不含软饮料,以及至少两种指定食品类别中的食品。A. activity活动;B. purpose目的;C. initiative倡议;D. rush匆促。结合后文餐厅承诺提供至少一份低于600卡路里的儿童餐,不含软饮料,以及至少两种指定食品类别中的食品,可知是为了响应Kids Live Well倡议。故选C。。
+
+
+【题干】：A week after his pet dog died,the old man completely and had to be sent into hospital. A. broke out B. broke up C. broke down D. broke off
+【答案】：C
+【解析】：【详解】 考查动词短语辨析。句意:他的宠物狗死了一个星期后,老人完全崩溃了,不得不被送进医院。A. broke out爆发;B. broke up拆散;C. broke down崩溃;D. broke off中断。由语意可知,老人的宠物狗死后,老人进了医院,说明狗狗死后,老人太伤心了,情绪崩溃了,受不了才进了医院。故选C项。。
+
+
+【题干】：Instead of blaming the child who had broken the vase , she gave him a _smile and let him go . A. cautious B. grateful C. tolerate D. wild
+【答案】：C
+【解析】：【详解】 考查形容词词义辨析。句意:她没有责怪打碎花瓶的孩子,而是宽容地笑了笑,让他走了。A. cautious谨慎的;B. grateful感激的;C. tolerate宽容的;D. wild野生的。根据“Instead of blaming the child who had broken the vase ”可知,她没有责怪打碎花瓶的孩子,所以与之对应的是tolerate smile宽容的笑容。故选C。。
+
+
+【题干】：The outbreak of Covid-19 has meant an change in many people’s life and work. A. absurd B. abrupt C. allergic D. authentic
+【答案】：B
+【解析】：【详解】 考查形容词词义辨析。句意:新型冠状病毒肺炎的爆发意味着许多人的生活和工作发生了突然的变化。A. absurd荒谬的;B. abrupt突然的;C. allergic过敏的;D. authentic真正的。abrupt“突然的”为形容词,在句中修饰名词change,作定语,an abrupt change意为“突然的变化”,符合句意。故选B项。。
+
+
+【题干】：According to the law, all foreigners have to _ with the local police within two weeks of arrival. A. lecture B. register C. flash D. organize
+【答案】：B
+【解析】：【详解】 本题考查动词辨析。解题步骤:1. 确定各选项意思:A. lecture讲课,讲授;B. register登记,注册;C. flash (使) 闪耀,闪光;D. organize组织。2. 确定答案:根据“According to the law”可知,外国人来中国需登记注册,所以空处需用动词register。句意:根据法律,所有的外国人在抵达的两周之内必须到当地公安机关登记。故选B。。
+
+
+【题干】：The article is good in _, so you can read it. A. adult B. plate C. content D. volunteer
+【答案】：C
+【解析】：【详解】 本题考查名词词义辨析。解题步骤:1. 确定各选项意思:A. adult 成年人 ; B. plate 盘子;C. content 书报内容;D. volunteer 志愿者。2. 确定答案:根据本句主语 the article以及后面的you can read it ,可推知,是文章的内容很好。故选C。句意:这篇文章的内容很好,你可以读它。。
+
+
+【题干】：The freshman has decided to_ for the English speaking contest. A. sign up B. take part C. be addicted D. be attracted
+【答案】：A
+【解析】：【详解】 本题考查动词短语辨析。解题步骤:1. 确定各选项意思:A. sign up报名;B. take part参加;C. be addicted上瘾;D. be attracted被吸引。2. 确定答案:根据空格后的for the English speaking contest可推知,是“报名参加”英语演讲比赛,sign up for…为固定搭配,意为“报名参加…”,符合题意,选项B. take part意为“参加”,常与介词in搭配,这与题干不符,故排除,句意:这位新生决定报名参加英语演讲比赛。故选A。。
+
+
+【题干】：The Palace will not _ on questions about the family’s private life. A. sigh B. view C. comment D. carry
+【答案】：C
+【解析】：【详解】 本题考查动词辨析。解题步骤:1.确定各项意思:A. sigh叹气;B. view看,观看;C. comment发表评论;D. carry携带。2.确定答案:根据“questions about the family’s private life”可知,此处涉及“皇家私生活的问题”,可推断出应该是不对问题发表评论,“comment on”意为“就……发表评论”,为固定短语。句意:王室不会就有关皇家私生活的问题发表任何评论。故选C。。
+
+
+【题干】：Any student who tries to _ while the examiner is watching is playing with fire. A. compete B. survive C. cheat D. carve
+【答案】：C
+【解析】：【详解】 本题考查动词辨析。解题步骤:1. 确定各选项意思:A. compete比赛;B. survive存活;C.cheat作弊;D. carve雕刻。2. 确定答案:根据the examiner is watching可推知,是在监考员的监视下,此处表示任何想作弊的学生。句意:任何在考官监视时试图作弊的学生都在铤而走险。故选C。 【点睛】。
+
+
+【题干】：The Great Wall was built with the blood and_ of the laboring people. A. stress B. senior C. sweat D. struggle
+【答案】：C
+【解析】：【详解】 本题考查名词词义辨析。解题步骤:1.确定各项意思:A. stress压力;B. senior上司;C. sweat汗水;D. struggle奋斗。2.确定答案:结合上文“with the blood and”以及后文“the laboring people”可知此处指“长城是用劳动人民的血汗建造起来的”应用sweat,blood and sweat表示“血汗”。句意:长城是用劳动人民的血汗建造起来的。故选C。。
+
+
+【题干】：If Jim had been more independent, his parents' divorce would not have _ him as deeply. A. affected B. impressed C. overcome D. inspired
+【答案】：A
+【解析】：【详解】 考查动词词义辨析。解题步骤:1.确定各选项意思:A.affected影响;使感染;B. impressed给……留下深刻的好印象;C. overcome克服 ;D. inspired激励;鼓舞。2.确定答案:根据语境,这里指父母离婚“影响”了吉姆。句意:如果吉姆更独立些,他父母的离婚就不会对他有这么深的影响了。故选A。。
+
+
+【题干】：The company is starting a new advertising campaign to _ new customers to its stores. A. join B. attract C. stick D. transfer
+【答案】：B
+【解析】：【详解】 本题考查动词辨析。解题步骤:1. 确定各选项意思:A.join参加;B.attract吸引;C.stick插入,粘贴;D.transfer转移。2. 确定答案:根据句意可知公司做广告的目的应该是吸引新的顾客,句意:这家公司正在开始一项新的广告活动以吸引新的顾客去它的店里。故选B项。。
+
+
+【题干】：Hearing the sad news, he_ his head in his hands and began to cry. A. placed B. put C. laid D. buried
+【答案】：D
+【解析】：【详解】 本题考查动词词义辨析。解题步骤:1. 确定各选项意思:A. placed放置;B. put放;C. laid 放,搁;D. buried埋。2. 确定答案:根据“Hearing the sad news”和“began to cry.”可知,此处是指听到不幸的消息他抱头痛哭,用bury“埋”符合语境,bury one's head in one's hands“埋头”。句意:听到这个不幸的消息,他埋头痛哭起来。故选D。。
+
+
+【题干】：For hours, we have heard nothing but negative criticism. Why can't you say something more _? A. ambitious B. passive C. determined D. constructive
+【答案】：D
+【解析】：【详解】 本题考查形容词词义辨析。解题步骤:1.确定个选项意思:A. ambitious雄心勃勃的;B.passive消极的 ;被动的;C.determined坚决的;果断的;D.constructive建设性的;积极的。2.确定答案:根据语境,空格处所填内容应该与前句中的“negative”意思相反,意为“你为什么不能说些更积极的话呢?”。句意:几个小时来,我们只听到负面的批评。你为什么不能说些更积极的话呢?故选D。。
+
+
+【题干】：It took me a long time before I was able to fully _ what my parents had done for me. A. appreciate B. relate C. regard D. refer
+【答案】：A
+【解析】：【详解】 本题考查动词辨析。解题步骤:1. 确定各选项意思:A. appreciate领会、感激;B. relate联系;C.regard认为;D. refer涉及。2.确定答案:根据what my parents had done for me.可知是感激父母为我所做的一切。句意:我花了很长时间才完全理解父母为我所做的一切。故选A。
+
+
+【题干】：There is a growing _toward earlier retirement. A. survival B. edge C. update D. trend
+【答案】：D
+【解析】：【详解】 本题考查名词辨析。解题步骤:1.确定各项意思:A. survival存活;B. edge边缘;C. update更新;D. trend趋势。2.确定答案:根据growing知,此处指“增长的趋势”。句意:退休越来越早的趋势日渐增长。故选D。 【点睛】。
+
+
+【题干】：When Wardell was interviewed, he was _, and on that basis, he was hired. A. impressive B. powerful C. fluent D. passive
+【答案】：A
+【解析】：【详解】 本题考查形容词词义辨析。解题步骤:1.确定各项意思:A. impressive给人以深刻印象的;B. powerful强大的;C. fluent流利的;D. passive被动的。2.确定答案:根据后文“and on that basis, he was hired” Wardell被录用了可知,他在面试的时候给人留下了深刻的印象,应用impressive。句意:Wardell在面试的时候给人留下了深刻的印象,在这个基础上,他被录用了。故选A。。
+
+
+【题干】：The earthquake caused the people to _ away in horror. A. fake B. span C. scan D. flee
+【答案】：D
+【解析】：【详解】 本题考查动词辨析。解题步骤:1.确定各项意思:A. fake伪造;B. span跨越;C. scan扫描;D. flee逃走;2.确定答案:固定短语flee away“逃离”。句意:地震导致恐惧中的人们纷纷逃离。故选D。。
+
+
+【题干】：Previous teaching experience is a necessary _for this job. A. immigration B. concentration C. qualification D. observation
+【答案】：C
+【解析】：【详解】 本题考查名词辨析。解题步骤:1. 确定各选项意思:A.immigration移居;B.concentration专心;专注C.qualification资格;D.observation观察。根据语境,有教学经验是“资格”之一。故选C。句意:有教学经验是获取这份工作的资格之一。。
+
+
+【题干】：— I called you at seven yesterday evening, but there was no answer. — Oh, I am sorry. I _dinner at my friend’s home. A. had had B. had C. was having D. would have
+【答案】：C
+【解析】：【详解】 考查动词时态。句意:——我昨天晚上七点给你打电话,但是没有人接。——哦,对不起。我正在朋友家吃晚饭。根据时间状语at seven yesterday evening可知,此处指昨天晚上七点时正在发生的动作,应使用过去进行时。故选C。。
+
+
+【题干】：_ the old guy a full physical exam, the doctor still couldn’t come up with any possible explanation for the pain. A. Given B. To give C. Having given D. Being given
+【答案】：C
+【解析】：【详解】 考查非谓语动词。句意:给老人做了全面身体检查后,医生依然不能对于这种疼痛提出任何可能的解释。分析句子结构,逗号后有一句完整的话,逗号是以动词开头的,要用动词的非谓语动词形式,且give和逻辑主语the doctor之间是主动关系,用现在分词的形式;且give发生在谓语动词 come up with之前,故用现在分词的完成形式。故选C。。
+
+
+【题干】：The way that you thought of _the math problem was greatly creative. A. solving B. to solve C. having solved D. solved
+【答案】：B
+【解析】：【详解】 考查非谓语动词。句意:你想的解决这个数学问题的方法非常有创意。that you thought of是定语从句,修饰先行词the way,the way to do sth表示做某事的方法,是固定搭配,故选B项。。
+
+
+【题干】：I still remember_to Qingdao last summer and it is a beautiful city. A. taking B. being taken C. to take D. to be taken
+【答案】：B
+【解析】：【详解】 考查非谓语动词。句意:我还记得去年夏天被带到青岛,那是一个美丽的城市。根据句意和时间状语last summer 可知,表示“记得已经做过的事情”用短语remember doing sth.。主语I与take之间为被动关系,所以用动名词的被动形式。故选B。。
+
+
+【题干】：Jim _ in the library every night over the last three months. A. works B. worked C. has been working D. had been working
+【答案】：C
+【解析】：【详解】 考查动词时态。句意:在过去的三个月里,吉姆每天晚上都在图书馆工作。根据句中时间状语over the last three months可知,从三个月前一直持续到现在,并且以后还有可能继续持续下去,所以用现在完成进行时。故选C。。
+
+
+【题干】：I am surprised that a wise person like you should have been _ by only a few of his sweet words. A. taken off B. taken out C. taken away D. taken in
+【答案】：D
+【解析】：【详解】 考查动词短语词义的辨析。句意:我很吃惊像你这样聪明的人竟然被他几句甜言蜜语所欺骗。A. taken off 起飞;脱下;离开;突然成功;B. taken out 取出;去掉;出发; C. taken away 带走,拿走,取走; D. taken in 欺骗;吸收;领会。根据语境可知此处指被甜言蜜语欺骗,结合语境和have been可知此处应用现在完成时的被动语态。故答案为D。。
+
+
+【题干】：It’s _to smoke here. Who permitted you_here? A. forbid; smoking B. forbad ; smoking C. forbade; to smoke D. forbidden; to smoke
+【答案】：D
+【解析】：【详解】考查固定短语和被动语态。句意:这里是禁止吸烟的,谁允许你在这吸烟?根据句意以及动词不定式to smoke可知动词“forbid(禁止)”是被动的,所以第一空使用被动语态,forbid的过去分词为forbidden;短语permit sb to do sth表示“允许某人做某事”符合题意,所以第二空使用动词不定式,故选D。。
+
+
+【题干】：_both sides accept the agreement will a lasting peace appear in this region. A. Unless B. As long as C. If only D. Only if
+【答案】：D
+【解析】：【详解】 考查倒装句。句意:只有双方都接受达成的协议,这个地区才能出现持久的和平。A.Unless 除非;B.As long as只要...; C.If only要是...就好了; D.Only if只有。分析句子结构,根据“ will a lasting peace appear ”助动词提前可知,句子的主句为倒装句,只有only if 引导的从句谓语句首才能引起主句的部分倒装,故选D。。
+
+
+【题干】：Not having finished his homework, _to play computer games. A. so he was forbid B. he was forbidden C. his mother forbade him D. his mother didn’t allow him
+【答案】：B
+【解析】：【详解】 考查分词短语作状语时逻辑主语与句子主语一致。句意:由于没有完成作业,他被禁止玩电脑游戏。空格前为现在分词短语作状语,而不是和后面的句子并列,故排除A项,分词短语作状语时,其逻辑主语应与句子的主语一致,分析可知状语“Not having finished his homework”的逻辑主语是he,故句子的主语也是he,且句子谓语动作发生在“Not having finished ”之后,且描述过去,故用一般过去时,主语与谓语为被动关系。故答案为B。。
+
+
+【题干】：With the rumor that he was once sentenced into prison for five years_ , he found he couldn’t live in this city any longer. A. getting across B. getting around C. getting through D. getting over
+【答案】：B
+【解析】：【详解】 考查短语辨析。句意:随着那个说他曾经被判入狱五年的谣言被传开后,他发现他不能再住在这个城市了。A. getting across把......讲清楚;B. getting around传开;C. getting through完成,度过;D. getting over克服。根据句意可知,空处短语意思应是谣言传开了;分析句子可知,此处应用非谓语动词作宾补,get around只有主动形式,故应用现在分词。故选B项。 【点睛】。
+
+
+【题干】：In order to minimize economic losses, the manager demanded that the problems_paid special attention to. A. referring to being B. referred to be C. refer to be D. referring to be
+【答案】：B
+【解析】：【详解】考查虚拟语气和非谓语动词。句意:为了尽量减少经济损失,经理要求特别注意所提及的问题。分析句子可知,这里的refer to用来修饰名词problems作定语,和修饰语之间为被动关系,应用过去分词;demand后的宾语从句应用虚拟语气,谓语部分是(should)+动词原形,主语problems和谓语pay attention to之间是被动关系,因此应用 be paid,故选B。。
+
+
+【题干】：Lowered sea levels _ the shallow continental shelf beneath the Bering Sea. A. being exposed B. exposed C. to expose D. exposing
+【答案】：B
+【解析】：【详解】 考查动词时态。句意:下降的海平面露出了白令海下的浅层大陆架。分析题意,句中除了选项动词外,无其余动词,故该空作句子谓语动词。选项A,C和D都是非谓语动词,不可作谓语。根据句意提示,描述发生在过去的事情,用一般过去时。故选B项。。
+
+
+【题干】：It is a pity that the industrial cities _ in the 19th century do not attract visitors. A. having been built B. built C. to be built D. having built
+【答案】：B
+【解析】：【详解】 考查非谓语动词。句意:遗憾的是,这些建立于19世纪的工业城市并没有吸引来游客。分析句子可知,选项中给出的build一词在这里应该作后置定语修饰cities,build与cities之间属于被动关系,要用过去分词形式。故选B项。。
+
+
+【题干】：Which of the following sentences is correct? A. There have been many great changes take place in my home town in the past few years. B. There have been many great changes taken place in my home town in the past few years. C. Great changes have been taken place in my home town in the past few years. D. Great changes have taken place in my home town in the past few years.
+【答案】：D
+【解析】：【详解】 考查take place的用法。A项的“take place”和B项的“taken place”是错误的,changes发出take place的动作,应该使用现在分词taking place作后置定语;C项的“ have been taken place ”是错误的,take place不能用于被动语态,应该使用主动语态,因此been要去掉。D项正确,该句子意为:过去几年中我的家乡发生了很大的变化。故选D项。。
+
+
+【题干】：As we know, two thirds of the earth _ covered with water.. A. are B. was C. is D. were
+【答案】：C
+【解析】：【详解】 考查主谓一致和时态。句意:我们知道,地球的三分之二被水覆盖。根据句意可知,本句陈述一个事实,谓语动词需用一般现在时态,排除选项B和D;百分数、分数后面加名词或代词时,要根据这个名词或代词来决定其谓语动词的单复数形式。如果是复数名词或代词,谓语动词用复数;如果是单数名词(或不可数名词)或代词,谓语动词用单数。本句分数后the earth是单数,be动词需用is。故选C。。
+
+
+【题干】：They talked about their classmates and things_ they still remembered in the middle school. A. who B. whom C. that D. which
+【答案】：C
+【解析】：【详解】 考查定语从句关系词。句意:他们谈论他们仍然记得的在中学的同学和事情。分析句子可知,此处为定语从句,且先行词为“their classmates and things”,指人和物两方面的含义,应用关系代词that。故选C项。。
+
+
+【题干】：—Can I see the doctor today? —You could, but as you haven't got an appointment(预约), it would mean_for a few hours. A. to wait B. wait C. waiting D. having waited
+【答案】：C
+【解析】：【详解】考查动名词。句意:—我今天可以看医生吗?—你可以,但是由于你没有预约,这意味着你要等几个小时。mean doing sth表示“意味做...”,所以此处wait要用动名词形式,故选C项。。
+
+
+【题干】：It is his fourth visit in a month, _ says it all. A. who B. that C. which D. where
+【答案】：C
+【解析】：【详解】 考查定语从句。句意:这是他一个月以来的第四次访问,这说明了一切。分析句子结构可知,逗号后面是非限制性定语从句,修饰前面整个主句内容,关系词在从句中作主语,因此使用which引导该定语从句。who引导定语从句时,先行词应该是表示“人”的词语;that不能引导非限制性定语从句;where是关系副词,引导定语从句时,在从句中作地点状语。故选C项。。
+
+
+【题干】：I don’t know what it was _ did the trick, but I am definitely feeling much better. A. who B. because C. that D. when
+【答案】：C
+【解析】：【详解】 考查强调句。句意:我不知道是什么起了作用,但我确实感觉好多了。分析句子可知,宾语从句中去掉it was和设空处依然是完整的句子,故此处是强调句,结构是it was+ 被强调部分+ that/who(强调部分是人时可用) +其他,句中被强调部分是指物的what,用that,故选C。。
+
+
+【题干】：It _ the first time that these health issues had reached this level of U.N. attention. A. is B. was C. being D. were
+【答案】：B
+【解析】：【详解】 考查固定句型和时态。句意:这是这些健康问题第一次得到联合国如此高度的关注。“某人第一次做某事”是It is/was the first time that…句型,如果主句动词是is,that从句动词用现在完成时。如果主句动词是was,that从句动词用过去完成时。根据从句所给动词had reached,可知主句用was,故选B。。
+
+
+【题干】：The students _ don’t exercise much or _ diet is rich in fat will gain weight. A. that…whom B. who…whose C. who…which D. whose…that
+【答案】：B
+【解析】：【详解】 考查定语从句。句意:那些不怎么运动或饮食中富含脂肪的学生将会增加体重。分析句子可知,句中包含2个并列的定语从句,先行词是指人的students,在第一个定语从句中作主语用关系代词who或that引导;先行词在第二个定语从句中作diet的定语,用whose引导定语从句。故选B。。
+
+
+【题干】：When _ a test, one may feel shaky, sweaty, with his heart beating quickly. A. having B. have C. had D. having had
+【答案】：A
+【解析】：【详解】 考查非谓语动词。句意:当进行测试时,一个人可能会感到颤抖,出汗,心跳加速。分析句子结构,When _ a test是时间状语,“have”与其逻辑主语“one”之间是主动关系,用现在分词,分词的动作与谓语动作同时发生,用现在分词的一般式。此处省略了be动词,故选A。。
+
+
+【题干】：Mr Johnson sang so well that everyone said he was _ a singer _ a teacher. A. both … and B. not only … but also C. either … or D. more … than
+【答案】：D
+【解析】：【详解】 考查固定短语。句意:约翰逊先生唱得很好,每个人都说,与其说他是老师不如说他是歌手。分析选项短语,A.both … and两者都;B.not only … but also不仅……而且……;C.either … or或者……或者……;D.more … than不是……而是……。句中提到“约翰逊先生唱歌很好”,可知句中想表达的是“每个人都说,与其说他是老师不如说他是歌手”,“more … than”意为“不是……而是……”,符合句意。故选D项。。
+
+
+【题干】：My parents like climbing the mountain behind my home in the morning, because the mountainous air is so good _. A. breathing B. breathed C. to breathe D. to be breathed
+【答案】：C
+【解析】：【详解】 考查非谓语动词。句意:我的父母喜欢在早上爬我家后面的山,因为山上的空气利于呼吸。表示品质的形容词good后加不定式,且用主动形式表被动意义。故选C。。
+
+
+【题干】：The war is over and their rule is _. A. at an end B. in the end C. at the end D. on end
+【答案】：A
+【解析】：【详解】 考查介词短语。句意:战争结束了,他们的统治也结束了。A. at an end结束;B. in the end终于;最后;C. at the end最后,在终点;D. on end竖着地; 连续地。选择项中,只有at an end搭配be动词使用。故选A。。
+
+
+【题干】：Shengda may be able to _ Sina _ a combination in future talks with its board. A. persuade…to B. persuasion…into C. persuasion…to D. persuade… into
+【答案】：D
+【解析】：【详解】 考查动词短语。句意:在未来与新浪董事会的谈判中,Shengda或许能够说服新浪进行合并。be able to 接动词原形。persuade“说服”为动词,persuade somebody to do something意为“说服某人干某事”;persuade… into意为“说服……进入”,into为介词,后接名词或动名词作介词宾语。故选D项。。
+
+
+【题干】：A _identification card is required when you purchase foreign money from Bank of China. A. beneficial B. effective C. valid D. flexible
+【答案】：C
+【解析】：【详解】 考查形容词词义辨析。句意:当你向中国银行购买外币时,会被要求出示有效期内的身份证。A. beneficial有益的,有利的;B. effective有效的,起作用的;C. valid有效的,合法的;D. flexible灵活的。结合句意可直接排除A、D选项,其也无法与“身份证”搭配而修饰这一名词。题目重点在于B、C的辨析,effective是指某物、某事有实际效果,能起作用的“有效”,而valid是指有效期内的,正当合法的“有效”,在本句语境中valid恰当。故选C。。
+
+
+【题干】：-I like staying at home, watching TV or surfing the Internet all day on Sundays. -That’s _I don’t agree. I think you’d better go out for a walk. A. where B. how C. when D. what
+【答案】：A
+【解析】：【详解】 考查表语从句。句意:-我喜欢在星期天呆在家里,整天看电视或上网。-这就是我不同意的地方。我想你最好出去走走。分析题意,表语从句部分缺“状语”所以从句引导词用连接副词,根据句意可知,此处缺“不同意的方面/地方”。综合分析,故选A项。。
+
+
+【题干】：I still remember the accident and the troubles _has caused to me. A. which B. what C. it D. when
+【答案】：C
+【解析】：【详解】 考查代词。句意:我依然记住那个意外事故以及它已经给我带来的麻烦。分析句子可知,the troubles 后面是一个省略了关系代词that/which的定语从句,关系代词that/which在该定语从句中只充当动词caused的宾语,故从句需要代词it作为主语指代前文的the accident,故此处填it。故选C项。。
+
+
+【题干】：The newly-published novel is so popular that more than one copy sold out. A. have been B. has been C. have D. are
+【答案】：B
+【解析】：【详解】 考查时态和主谓一致。句意:新出版的小说太受欢迎了,以至于不止一份拷贝被卖光了。more than one+单数名词作主语时,尽管意义上看是复数,谓语动词仍要用单数,根据句意推断,sold out这一动作应该已经发生,应该用现在完成时下的被动语态。故选B项。。
+
+
+【题干】：Make a sound decision during the day when you are awake. A. wide B. widely C. across D. scarcely
+【答案】：A
+【解析】：【详解】 考查副词词义辨析。句意:在你完全清醒的时候做出一个明智的决定。A. wide充分地;B. widely广泛地;C. across越过,在对面;D. scarcely几乎不,简直不。 wide用作副词主要表示“张大”“睁大”到最大程度,侧重指物体从一边到另一边的距离,在wide awake(完全醒着)这一习语中,一般不用widely,此处指在完全清醒的时候做出一个明智的决定。wide awake“完全清醒的”。故选A。。
+
+
+【题干】：I like the city, but I like the country better I have more friends there. A. in which B. for which C. in that D. at that
+【答案】：C
+【解析】：【详解】 考查原因状语从句。句意:我喜欢城市,但我更喜欢乡村,因为我在那里有更多的朋友。根据句意可知,此处引导原因状语从句,in that“因为”符合句意。故选C。。
+
+
+【题干】：Once you master the useful skills, everything in your life will change for . A. better B. the better C. worse D. the less
+【答案】：B
+【解析】：【详解】 考查名词。句意:一旦你掌握了有用的技能,生活中的一切就会往好的方向发展。结合句意可知,此处表示“变得更好”;change for the better“往好的方向发展”,better为形容词,不能做介词for的宾语,the better表示“类别”的名词,意为更好的人或事物。作for的宾语。故选B项。。
+
+
+【题干】：Take all your courage and do something your heart tells you to do so that you may not regret not_it later in life. A. to do B. to have done C. do D. doing
+【答案】：D
+【解析】：【详解】 考查非谓语动词。句意:拿出你所有的勇气,去做一些你内心告诉你去做的事情,这样你以后就不会后悔没有去做。regret to do sth.“遗憾地去做某事”,对尚未做的或正在做的事情表示遗憾;regret doing sth.“后悔做了某事”,对已做的事情表示后悔。根据语境可知,此处指“后悔没有去做”,应使用regret doing sth.。故选D。。
+
+
+【题干】：President Xi Jinping delivered a keynote speech on this National Day to_all ethnic groups to make joint efforts and work together to build a prosperous and powerful country. A. call up B. answer for C. get through D. call on
+【答案】：D
+【解析】：【详解】考查动词短语辨析。句意:习近平主席在国庆节发表主旨演讲,号召全国各族人民共同努力,共同建设繁荣富强的国家。call up “打电话给;召集;使想起;提出”;answer for“因……而受罚;对……负责”;get through“通过;做完;接通电话;度过,熬过(困难时期等)”;call on“访问,拜访;号召,请求”。。
+
+
+【题干】：—The governor made only a passing_ to the problem of unemployment. —Yes, he mentioned it quickly. A. difference B. reference C. opposition D. adaptation
+【答案】：B
+【解析】：【详解】考查名词词义辨析。reference“谈到,提及;参考,查阅”,a passing reference表示浮光掠影地提及。difference“区别,差别”;opposition“反对”;adaptation“适应;调整”。。
+
+
+【题干】：Some of the students in our class can’t figure out _ it is that puts them under great pressure and makes them tired of finishing homework on time. A. where B. when C. what D. how
+【答案】：C
+【解析】：【详解】考查强调句型。句意:我们班的一些学生不知道是什么使他们承受巨大的压力,使他们对按时完成作业感到厌烦。it is ... that是一个强调句,强调主语,这里属于前缺后缺用what的情况。。
+
+
+【题干】：—I really think Johnson's character is as good as that of Fang Yifan, a Senior 3 student in the TV play Xiao Huanxi. —_. He often holds a positive attitude towards anything in life. A. That's not the point B. You can say that again C. It counts for nothing D. It doesn't matter
+【答案】：B
+【解析】：【详解】考查情景交际。句意:——我觉得约翰逊的性格和电视剧《小欢喜》中的高三学生方一凡的性格很像。——你说得非常正确,他总是这么乐观。That’s not the point“这不是关键;不是这个意思”;You can say that again“你说得很对”;It counts for nothing“它毫无价值”;It doesn’t matter “没关系”。。
+
+
+【题干】：The coach, together with his players, _ to the party held last Friday night, aiming to celebrate their win in the match. A. was invited B. were invited C. has been invited D. have been invited
+【答案】：A
+【解析】：【详解】考查主谓一致与一般过去时的被动语态。句意:这个教练,和他的队员一起,被邀请去参加上周五晚上举行的聚会,目的是庆祝他们赢得比赛。根据句中的“last Friday night(上周五晚上)”可知,这句话应使用一般过去时。句子主语为The coach,为第三人称单数形式,“together with…”介词词组作主语的伴随状语,不能算作主语,所以谓语动词应与The coach保持一致。故选A。【点睛】主谓一致是指句子的谓语动词与它的主语在人称和数上必须保持一致。简单来讲,即在英语组词成句的过程中,主语的人称、数、格发生了变化,谓语也必须跟着变化,保证主语和谓语之间关系的协调一致。在英语语法中,这属于基本的知识点。主谓一致要遵循三个原则,语法一致原则,意义一致原则和就近一致原则。其中语法一致原则指的是主语是单数形式,谓语动词也用单数形式;主语是复数形式,谓语动词也是复数形式。当than,with,as well as,along with,together with,like,rather than,except,not,but,including,plus,besides,in addition to等加名词或代词结构在主语后面时,谓语不受这些短语影响,须和其前的主语一致。这属于语法一致原则中的一种情况。例如本题中使用了together with结构,所以句子的谓语动词与主语the coach保持一致。。
+
+
+【题干】：I can’t thank you _ much for the kindness, because without your help I couldn’t have succeeded in the exam. A. so B. too C. such D. that
+【答案】：B
+【解析】：【详解】考查固定句型。句意:你的善良我怎么感谢都不为过,因为没有你的帮助,我就不可能在考试中成功。“can’t… too…”表示“再/做……也不为过/不过分”,是一个常用的句式,符合本题句意。故选B。【点睛】cannot/ can’t/can never与too,too much,enough,over搭配是英语中一个十分有用的表达,意为“不可能太……,无论样…….也不算过分,越.….越.…”。有时也可用impossible等与too连用来表示类似意思。例如本题中使用的就是其中最常见的结构can’t...too...(再……也不为过,越……越好)。。
+
+
+【题干】：Can you make yourself _ in English? A. to understand B. understand C. understanding D. understood
+【答案】：D
+【解析】：【详解】考查过去分词作宾语补足语。句意:你能用英语把意思表达清楚吗?这里是用make+宾语+宾语补足语的句式,因为yourself和understand之间是被动关系,所以用过去分词做宾语补足语,故选D。。
+
+
+【题干】：All the photographs in this book, _ stated otherwise, date from the 1950s. A. if B. when C. which D. unless
+【答案】：D
+【解析】：【详解】考查状语从句的连词。句意:除过被标明的以外,书中其余所有的图片都可以追溯到20世纪50年代。A. if 如果;B. when当……的时候;C. which哪一个;D. unless除非。从句用了省略句,所填词表条件,意思是:除非,如果不。故选D。。
+
+
+【题干】：Upon _ the word “volunteer”, what comes to your minds? A. learned B. to learn C. learning D. being learned
+【答案】：C
+【解析】：【详解】考查动名词作宾语。句意:听到“志愿者”这个单词,你想到的是什么?upon 是个介词,后面接名词或动名词。这句话省略了主语you,主语you与learn是主动关系,所以用动名词的主动形式。故选C。。
+
+
+【题干】：He used to _ in the sun, but now he is used to _ in the library. A. read; read B. reading; reading C. reading; read D. read; reading
+【答案】：D
+【解析】：【详解】考查动词短语。句意:他过去常常在太阳底下读书,但是现在他习惯了在图书馆读书。“used to do sth.” 表示“过去常常”,现在已经停止的情况或习惯,侧重今昔的对比,其中to是动词不定式符号,后接动词原形。“be used to doing sth.”意为“意思是“习惯于做某事”,可用于各种人称、时态,其中to是介词,后接V-ing形式。故选D。【点睛】与used相关的动词短语是英语中常考知识点。与use相关的短语主要有三个:be used to do 表示被用来做;be used to doing 表示习惯做;used to do表示过去常常做。used to d该句式表示“过去常常做某事(而现在已不做了)或“过去存在,而现在不存在了”。该句式中used只有过去时而无其它时态;to是不定式符号,后跟动词原形;该句式的否定式为used not to(do)或 didn’t use to(do)。be used to(doing/n.)句式意为“习惯于(做某事/某事)”。句中used是过去分词作表语;该句式可有各种时态;to是介词,后跟名词、动名词或代词。be used to(do)该句式表示“被用于(做某事)”。句式中used是use的过去分词,be used是被动语态;to为不定式符号,后跟原形动词。本题中根据句意,使用的就是used to do与be used to doing这两个动词短语结构。同学们要记清这几个动词短语,结合句意,做出正确的选择。。
+
+
+【题干】：As they’re handmade, each one _ slightly in shape. A. various B. varied C. varies D. variety
+【答案】：C
+【解析】：【详解】考查一般现在时。句意:因为它们都是手工制作的,每一个在形状上都稍有不同。这是一个由as引导的原因状语从句,分析主句可知,句子缺谓语动词,所以空格处应填动词。故排除A(various 不同的,形容词)与D(variety 不同种类,多种式样 名词)。从句使用的一般现在时,根据句意,空格处也应使用一般现在时。故选C。。
+
+
+【题干】：The child was found _ the streets alone. A. wandered B. to wander C. wander D. wandering
+【答案】：D
+【解析】：【详解】考查现在分词作主语补足语。句意:这个小孩被发现一个人在街上游荡。这句话的谓语动词为was found,所以空格处填非谓语动词形式。主语the child与wander之间是主动关系,所以使用现在分词作主语补足语。故选D。【点睛】非谓语动词作补足语是常见的情况。看到一个句子,先要分析句子成分,看句子是否已经有谓语动词,如果有谓语动词,才能确定空格处填非谓语动词。当非谓语动词作补足语时,若主语(宾语)与分词之间是主动关系,则用现在分词作主语(宾语)补足语;如果主语(宾语)与分词之间是被动关系,则用过去分词作主语(宾语)补足语。例如本题中,主语the child与wander之间是主动关系,所以使用现在分词作主语补足语。。
+
+
+【题干】：Mary _ up the toy car and let it run across the room. A. worked B. walked C. washed D. wound
+【答案】：D
+【解析】：【详解】考查动词短语辨析。句意:玛丽给玩具车上了发条,让它从房间这头跑到那头。work up鼓起(勇气), 使自己出(汗);walk up向上走,沿……走去;wash up洗脸,洗手,洗餐具;wind up给(钟表等)上发条,给……上弦,wound是wind的过去式。根据句意,玛丽给玩具车上了发条,玩具车才能跑。故选D。。
+
+
+【题干】：What would have happened _, as far as the river bank? A. if Bob has walked farther B. had Bob walked farther C. if Bob should walk farther D. if Bob walked farther
+【答案】：B
+【解析】：【详解】考查虚拟语气。句意:如果鲍勃走得更远,一直走到河岸,会发生什么事呢?通过主句的谓语动词可以判断出是虚拟语气,主句谓语动词(would have done)是对过去事实的虚拟,所以从句也是对过去的虚拟,采用过去虚拟结构(had done),这里省略了if,所以had提前。故选B项。【点睛】本句考查if对过去事实相反的假设,省略了if,所以had提前。if在虚拟语气三种情况:(1)对过去事实相反:从句had done,主句would/could/might+have done (2)对现在事实相反:从句did /were,主句would/could/might+do (3)对将来事实相反:从句should do/were to do/did,主句would/could/might+do。。
+
+
+【题干】：Please don't _ these details to anyone else. Just keep them to yourself. A. give out B. let out C. point out D. put out
+【答案】：B
+【解析】：【详解】考查动词短语词义辨析。句意:请不要把这些细节泄露给任何人。你自己知道就行了。A. give out公布,分发;B. let out泄露,放出;C. point out指出,指明;D. put out出版,熄灭,伸出。根据Just keep them to yourself.可知此处是泄露之意。故选B项。。
+
+
+【题干】：Your parents seem very much opposed _ abroad. What will you do about it? A. your going B. you to go C. to your going D. your to go
+【答案】：C
+【解析】：【详解】考查固定搭配。句意:你的父母似乎非常反对你出国。你会怎么做?固定短语opposed to反对,to是介词,后接名词做宾语。故选C项。。
+
+
+【题干】：When the student wanted to have a go, the teacher gave him a nod of _. A. support B. promise C. approval D. suggestion
+【答案】：C
+【解析】：【详解】考查名词词义辨析。句意:当那个学生想试一试时,老师点头表示同意。A. support支持;B. promise承诺;C. approval批准,认可;D. suggestion建议。名词approval有获得批准、同意之意,a nod of approval点头同意。故选C项。。
+
+
+【题干】：A great variety of guidance for _ visitors — ideas for what to do in off-peak season, for example, or outside of the city center — can have the effect of diverting them from already saturated landmarks, or discouraging short break away in the first place. A. positive B. influential C. prospective D. visiting
+【答案】：C
+【解析】：【详解】考查形容词词义辨析。句意:对潜在游客的各种各样的指导——比如,在淡季或市中心以外的地方该做些什么——可能会让他们从已经饱和的地标处转移注意力,或者从一开始就阻止他们短暂的离开。A. positive积极的;B. influential有影响力的;C. prospective预期的、潜在的;D. visiting访问的。空后的举例说告诉他们在淡季或市中心以外的地方做点什么,可能会让他们从已经饱和的地标上转移注意力,或者在一开始就阻止他们短暂地离开,因此此处指“潜在的游客”,故C项正确。。
+
+
+【题干】：A new study _the marmoset’s reputation for admirable community values. Researchers report that these caregivers share their food more generously with little ones in private than when they are surrounded by the watchful eyes of other community members. A. shines B. damages C. affects D. protects
+【答案】：A
+【解析】：【详解】考查动词词义辨析。句意:一项新的研究显示,绒猴具有令人钦佩的社会价值。研究人员报告说,与其他社区成员密切注视的情况相比,这些看护者私下里更慷慨地与孩子们分享食物。A. shines显露,显示;B. damages损害;C. affects影响;D. protects保护。根据空后的“the marmoset’s reputation for admirable community values.”可知,此处表示“新的研究显示”,故A项正确。。
+
+
+【题干】：The city announced severe measures_ to hold e-bike riders and restaurants that employ the riders responsible. A. meaning B. to be meant C. meant D. be meant
+【答案】：C
+【解析】：【详解】考查非谓语动词。句意:该市宣布了严厉的措施,这些措施旨在让电动自行车的骑手和雇用这些骑手的餐馆担负责任。be meant to表示“有意要、打算”,此处去掉be作后置定语,故C项正确。。
+
+
+【题干】：The usual response to the annual flu is not enough to fight against the risks we currently face, _ prepare us for an even deadlier widespread flu that most expert agree will come in the future. A. let alone B. let go C. leave alone D. take leave
+【答案】：A
+【解析】：【详解】考查动词短语辨析。句意:对年度流感的常规反应不足以对抗我们目前面临的风险,更不用说让我们为一场大多数专家认为将会到来的更致命的大范围流感做准备了。A. let alone更不用说;B. let go放手;C. leave alone不干涉;D. take leave告辞。根据“The usual response to the annual flu is not enough to fight against the risks we currently face”可知,此处表示“更不用说”,故A项正确。。
+
+
+【题干】：Someone who_ you to something you are not comfortable doing will stress you out. A. asks B. pressures C. strains D. stresses
+【答案】：B
+【解析】：【详解】考查动词词义辨析。句意:那些强迫你做你不喜欢做的事情的人会让你压力山大。A. asks要求;B. pressures迫使;C. strains使过度劳累;D. stresses使紧张。根据“you to something you are not comfortable doing”可知,此处表示“强迫”,故B项正确。。
+
+
+【题干】：There are many “forced riders”,who are suffering from the climate impacts_ having scarcely contributed to the problem. A. when B. though C. despite D. as
+【答案】：C
+【解析】：【详解】考查介词(连词)词义辨析。句意:有许多被迫骑车者,他们正在遭受着气候影响,尽管几乎没有造成问题。A. when当……时;B. though尽管(连接词,后面接句子);C. despite尽管(介词,后面接名词或动名词);D. as因为。根据句意可知,前后是让步关系,此处表示“尽管”,空后是动名词having,故C项正确。。
+
+
+【题干】：As late as the middle of the 19th century women voting was _ common. But women in Europe and North America believed that they should have a_ in their government’s leaders. A. less than, word B. far from, say C. rather than, words D. other than, saying
+【答案】：B
+【解析】：【详解】考查介词短语和名词词义辨析。句意:直到19世纪中叶,妇女投票还远未普及,但是欧洲和北美的妇女认为她们应该对政府领导人有发言权。A. less than少于,word诺言;B. far from远非,say发言权;C. rather than而不是,words话语;D. other than除了,saying格言。根据常识及空后“common”可知,第一空表示“远未普及”;根据“in their government’s leaders”可知,第二空表示“发言权”,故B项正确。。
+
+
+【题干】：The picture offer the best evidence to date that a planet once _ dead is actually a lively pot of geological change. A. assuming B. assumed C. resuming D. resumed
+【答案】：B
+【解析】：【详解】考查动词词义辨析和非谓语动词。句意:这幅图提供了迄今为止最好的证据,证明曾经被认为已经死亡的行星实际上是一个活跃的地质变化的容器。assume假定、认为;resume恢复,根据“dead is actually a lively pot of geological change”可知,此处表示“认为”,分析句子结构可知,此处使用非谓语动词,planet与assume是逻辑上的动宾关系,表示被动,用过去分词作后置定语,故B项正确。。
+
+
+【题干】：Always the _ , Franklin believed the practice of moving the time could save on the use of candlelight, as candles were expensive at the time. A. journalist B. physicist C. chemist D. economist
+【答案】：D
+【解析】：【详解】考查名词词义辨析。句意:富兰克林一直是一位经济学家,他相信时间的推移可以节省烛光的使用,因为当时蜡烛很贵。A. journalist记者;B. physicist物理学家;C. chemist化学家;D. economist经济学家。根据“the practice of moving the time could save on the use of candlelight, as candles were expensive at the time”可知,富兰克林是从经济角度来分析的,因此此处表示“经济学家”,故D项正确。。
+
+
+【题干】：Make a mark _ you don’t understand. A. until B. unless C. where D. as
+【答案】：C
+【解析】：【详解】考查状语从句。句意:你最好在不懂的地方做个记号。A. until一直到;B. unless除非;C. where那儿,……地方;D. as因为。分析句子可知,主语是个祈使句,不缺主谓宾。根据语境可知,本句是引导状语从句,表示“在你不懂的地方”做个记号。where 可指具体地址,也可以指抽象地址,此处就是抽象地址。故选C。。
+
+
+【题干】：The car rushed into the river. The driver _ get out, but the passengers were drowned. A. was able to B. could C. might D. would
+【答案】：A
+【解析】：【详解】考查情态动词辨析。句意:汽车冲进了河里。司机设法逃了出来,但乘客都淹死了。A. was able to能,会,过去做到了;B. could能,会,可能;C. might也许;D. would可能,会。could 表示“能够”, 只是一种可能性。was / were able to 表示“得以做成”,表示动作完成了。 could 表示“本身有能力”只是一种可能性;was / were able to 表示“得以做成,有能力做到”,即完成了动作。本句是说汽车冲进了河里,司机(成功地)逃出来了。故选A。。
+
+
+【题干】：A great number of small power stations _ up in their province since 1960. A. are set B. have set C. have been set D. will have been set
+【答案】：C
+【解析】：【详解】考查主谓一致和现在完成时。句意:1960年以来,他们省建立了大量的小型电站。根据后面“since 1960”可知,主句要用现在完成时。主语A great number of small power stations与动词set up 是被动关系,要用被动语态。主句的主语“A great number of small power stations”是复数,谓语动词要用复数形式。故选C。。
+
+
+【题干】：Do you still remember the farm _ we visited three months ago? A. which B. where C. when D. who
+【答案】：A
+【解析】：【详解】考查定语从句。句意:还记得我们三个月前参观过的农场吗?本句是定语从句。其中先行词是the farm,在定语从句we visited three months ago中作visited的宾语,在定语从句中作宾语,指代物时要用which,而where一般在定语从句中作地点状语;when在定语从句作时间状语;who在定语从句中作主语,一般指代人。分析本句可知,此句的先行词在从句作宾语,指代物,故选A。【点睛】如何选用定语从句中的关系词? 1、划分句子成分,细心甄别答案。我们确定了考查的是定语从句后,接下来就要判断选用关系代词还是关系副词。关系代词与关系副词表意不同,在从句中的作用也不同。关系代词一般作主语、宾语和表语等,主要有既指人又指物的that,指人的who(主语),whom(宾语),只指物的which或as。指“人的”或“物的”时,要用whose。而关系副词一段作状语等,主要有when(作时间状语), why(原因状语) ,where.(地点状语)。 2、依托语境逻辑,选对关系词。要注意分清它们在定语从句充当什么成分。有时候,仅仅依靠语法规则,很难正确判断关系词,还要结合空格前后所提供的语境以及逻辑来选择 3、结合从句提供的语境和句子的逻辑意义来判断。 4、确定先行词,可将先行词还原到从句中,如 1) What was the name of the man who /that lent you the money借钱给你的那人叫什么名字? (定语从句修饰先行词the man, the man在定语从句中当主语,指人即可用who又可用that) 2) There are some people whose faces you can never forget. 有些人,他们的脸你永远难以忘怀。 (定语从句修饰先行词people, people在定语从句中当定语,修饰faces,即他们的脸,人的/物的,要用whose) 3) I recently went back to the town where I was born. 我最近曾回过一次我出生的城市。 (先行词是the town,在定语从句中表示出生的地点,当地点状语,有where,where = in which) 4) Please tell me the reason why(for which) you missed the plane. 请告诉我你误机的原因。 (先行词是the reason,在定语从句中表示missed the plane 的原因,当状语,用why,why = for which) 5) I still remember the day when I first came to this school. 我仍然记得我第一次来到这所学校的那一天。 (先行词是the day,在定语从句中表示came to this school的日子,做时间状语叶要用when, when= on which) 6) As is well known to us, the telephone has brought us much convenience. = The telephone has brought us much convenience,as is well known to us. 正如大家所知道的(众所周知),电话给我们带来了许多方便。。
+
+
+【题干】：The man _ eyes were blinded moved to another country. A. that B. which C. whose D. whom
+【答案】：C
+【解析】：【详解】考查定语从句的关系词。句意:那个失明的人搬到了另一个国家。分析句子可知,本句是定语从句。其中the man先行词,在定语从句作eyes的定语,即那个男的眼睛,关系词whose在定语从句中作定语。 that 和which在定语从句中都可做主语、宾语或表语,that既可指人也可指物,而which只能指物;whom在定语从句中作宾语,只能指人。本题中先行词在定语从句中做定语,故选C。。
+
+
+【题干】：So fast _ that it is difficult for us to imagine its speed. A. light travels B. travels light C. does light travel D. has light travelled
+【答案】：C
+【解析】：【详解】考查部分倒装。句意:光的速度如此快以至于我们很难想象它的速度。so…that句型中,so放在句首,句子要用部分倒装。构成的结构是:So+形容词/副词+助动词+主语+谓语+that+从句。结合固定结构可知,C. does light travel符合此结构。故选C项。。
+
+
+【题干】：_ with such great difficulty, Jack felt at a loss_. A. Facing; what to say B. Faced; what to say C. Having faced; how to tell D. Being faced; how to speak
+【答案】：B
+【解析】：【详解】考查非谓语和特殊疑问词+to do。句意:面对这么大的困难,杰克感到不知所措。face的固定搭配为:sb. be faced with sth.或face sth.(面临;正视)。所以A和C答案不对。再根据因为say/tell/speak都是及物动词,需要宾语,所以只有what to say(说什么)这个结构正确。故选B项。。
+
+
+【题干】：_ money, his parents managed to send him to university. A. Lacked B. Lacking of C. Though lacking D. Lacked in
+【答案】：C
+【解析】：【详解】考查状语从句的省略。句意:虽然没有钱,但他的父母还是设法送他上了大学。在时间、条件、方式和让步状语从句中,当主、从句的主语一致,且从句中有be动词时,则可以同时省略从句中的主语和be动词。分析本句可知,lack的逻辑主语,就是句子的主语his parents,他们之间存在着主动关系,所以C. Though lacking 符合此结构。故选C项。。
+
+
+【题干】：My father quitted to make himself a cup of tea. A. reading B. read C. to reading D. to read
+【答案】：A
+【解析】：试题分析:句意思,我的父亲停止读书,给自己倒了一杯茶。quit 接动名词作宾语,接不定式作目的状语,故选A。 考点:词汇考查 点评:对于英语中的词汇用法,平时要多归纳总结,词汇用法的特殊语法规则更要特别记忆。最好把词汇放在句子中,连同句子一起记忆,这样能够加强记忆。。
+
+
+【题干】：I find important to have some communicative skills. A. it B. me C. them D. you
+【答案】：A
+【解析】：试题分析:通过分析句子结构,句子的真正宾语是后面的不定式结构,这里需要形式宾语,故用it。 考点:it作形式宾语 点评:一般说来,当不定式、动名词、从句等用作宾语且其后跟有宾语补足语时,就应在宾语补足语前使用形式宾语it,而将真正的宾语移至句末。。
+
+
+【题干】：Never should we forget the war and sufferings _ caused to the people. A. it B. which C. that D. what
+【答案】：A
+【解析】：试题分析:考查代词:这里sufferings后面的定语从句实际上把连接词省略了,如果只填连接词,则定语从句内部就没有了主语,这个句子实际缺的是定语从句的“主语”,句意:永远不要忘记战争和战争给人们带来的痛苦。指代the war,用it代替。选A。 考点:考查代词 点评:这题容易错选成B,考生会以为是定语从句,通过分析成分,可知需要代词。代词的词义辨析考查的较为细致:one 指代可数名词单数,表示泛指;其特质形式为the one。It指代上文出现的同一事物;that指代可数名词单数,或者不可数名词,后面必须有定语修饰。其复数形式为those,同样后面也应该有定语修饰。另外同位语在考查的时候要特别注意泛指和特指要保持一致。。
+
+
+【题干】：Tom felt that he himself,rather than the girls,_for the failure of the football match. A. were to blame B. was to blame C. were to blamed D. was to be blamed
+【答案】：B
+【解析】：试题分析:考查主谓一致。本题的主语是he himself和rather than the girls没有关系,故使用单数形式;固定短语be to blame应该受到责备,该短语使用主动形式表示被动的含义。句意:Tom感觉到是他自己而不是那些女孩子们应该为足球赛的失败受到责备。故B正确。 考点:考查主谓一致 点评:当句子的主语是名词A+ rather than B做主语的时候,后面的谓语动词与名词A保持一致。另外要注意be to blame是用主动语态表示被动的含义。。
+
+
+【题干】：the bad weather, most of the crops are rotted away. A. As the result of B. As a result of C. As a matter of fact D. As a result
+【答案】：B
+【解析】：试题分析:考查词组: As a result of="because" of因为;后面要接宾语;as a result结果是,要单独使用。As a matter of fact实际上,句意:因为糟糕的天气,很多庄稼烂掉了。故B正确。 考点:考查短语辨析 点评:本题要注意As a result of="because" of因为;后面要接宾语;as a result结果是,要单独使用。因为横线后面有宾语,使用of的后面不能有宾语。。
+
+
+【题干】：Although he is far abroad from his hometown, he is much _ his family. A. concerning about B. concerned about C. concerning with D. concerned with
+【答案】：B
+【解析】：试题分析:考查固定词组。固定词组be concerned about…关心…担心…;be concerned with…与…有关;句意:尽管他远离故乡,但是他很担心他的家人。根据句意说明B正确。 考点:考查固定词组 点评:动词concern有多种用法,在平时一定要多加识记,如concerning关于…;be concerned about…关心…担心…;be concerned with…与…有关;As far as sb be concerned在某人看来…。
+
+
+【题干】：-Never forget to give Miss Black the message that her mobile phone has been found in the office. -I will not. I will tell her _I see her. A. before B. till C. early D. immediately
+【答案】：D
+【解析】：D 试题分析:句意,这是两个人之间的对话。第一个人说:“不要忘记告诉布莱克小姐她的手机已经在办公室被找到。” 第二个人说: “我不会忘记,我一见到她就会告诉她。” 表示“一……就”,用immediately。 考点:时间状语从句的考查 点评:时间状语从句通常由after, before, when, while, as, once, till, since, as soon as等从属连词引导。此外还有一些特殊的形式引导时间状语从句。例如immediately, directly, instantly用于as soon as的意义时也可引导时间状语从句。。
+
+
+【题干】：His daughter has _ the young politician for five years. A. got married with B. been married to C. been married with D. got married to
+【答案】：B
+【解析】：试题分析:考查时态。本题的关键在于后面的for five years,这是一段时间,要和延续性动词连用,二get married 是一个短暂性动词短语。固定词组get/Be married to sb与某人结婚。句意:他的女儿和那个年轻的政治家结婚已经5年了。故B正确。 考点:考查时态 点评:本题的关键是要抓住句子的时间状语for five years,该短语通常与现在完成时连用,要注意使用延续性动词。英语中的时态主要由动词的形式决定,因此在学习英语时态时,要注意分析动词形式及具体语境,想象在那个特定的时间动作所发生的背景,这个动作是经常性动作、一般性动作、进行性动作、完成性动作还是将要发生的动作。。
+
+
+【题干】：-How do you think I can make up with Tom? -Put aside _ you disagree and try to find _ you have in common. A. what; what B. where; what C. what; where D. what; whether
+【答案】：B
+【解析】：试题分析:本题主要考查状语从句和宾语从句。 and 前后是两个并列的祈使句。第一个祈使句, 空格后为一个完整的句子,可判断为从句。由于 disagree 不及物,因此排除 what。第二个祈使句,空格后同样是一个从句,作 find 的宾语,由于从句中 have 缺宾语,因此由 what 引导宾语从句,排除 where。因此,应用what。故答案选B。 考点:考查宾语从句引导词。
+
+
+【题干】：September 18th, 1931 is a special day, _, I think, that will be remembered by the Chinese forever. A. one B. it C. which D. that
+【答案】：A
+【解析】：A 考察代词。句意:我认为1931年9月18日是一个很特别的日子,一个中国人都永远不会忘记的日子。分析句子结构,I think是插入语,that will be remembered by the Chinese forever是定语从句,句中有关系代词that,但是前面缺少先行词,因此排除CD两项,空格处还缺少一个名词或者代词做先行词,同时又作为a special的同位语。故A正确。。
+
+
+【题干】：-Whose advice do you think I should take? - _ . A. You speak B. That's it C. You got it D. It's up to you
+【答案】：D
+【解析】：试题分析:考查交际用语。A你说;B就是这个了;C你明白了;D由你决定;句意:—你认为我应该采纳谁的决定?—由你自己决定。根据句意说明D正确。 考点:考查交际用语 点评:交际用语的考查要根据上下文的含义以及逻辑关系,也要注意中西方文化在表达上的差异,要有跨文化的意识。同时要特别注意西方的文明礼仪在交际用语中的体现。如:在面对对方的赞扬的时候,应该使用Thanks.等等。。
+
+
+【题干】：Tom made _ great progress last semester and as _ result, he was praised by the teacher. A. a; a B. a; / C. /; / D. /; a
+【答案】：D
+【解析】：试题分析:考查冠词。第一空后的名称progress是一个不可数名词,前面不能有a修饰;第二空是固定词组as a result结果;句意:Tom上个学期取得了巨大的进步,结果他被老师表扬了。故D正确。 考点:考查冠词 点评:本题着重理解定冠词和不定冠词的区别,对于冠词特指和泛指的考察是历年来高考的必考点,平时的学习要多进行积累,仔细分析特指还是泛指。同时,更为重要的是要多去积累习惯表达,特殊表达,这也是近几年高考习惯考的地方。总而言之,多解题、多理解、多积累才是制胜的法宝。。
+
+
+【题干】：Berners-Lee _ the idea of the World Wide Web in 1989 while working in Switzerland. A. caught up with B. came up with C. looked forward to D. put off
+【答案】：B
+【解析】：试题分析:动词短语辨析。A追上;B想起;C期待;D推迟;句意:Berners-Lee1989年在瑞士工作的时候想去了一个World Wide Web的主意。根据句意说明B正确。 考点:考查动词短语辨析 点评:在平时的学习中要把同种类型的短语放在一起比较,如同一个动词+不同的介词/副词;同一个介词/副词+不同的动词。诸如此类的固定短语,属于最基本的知识,如果学生有错误,则应该加强背诵并平时多解题,进而加以巩固.。
+
+
+【题干】：-When _for Guangzhou? -Next Monday evening. A. are you leaving B. were you leaving C. you are leaving D. you were leaving
+【答案】：A
+【解析】：试题分析:考查将来时的表达法。本题是使用了现在进行时表示将来时,表示按照计划安排要发生的事情,而且动词必须是表示位置变化的动词。句意:—你什么时候去广州?去广州是事先计划好的,而且leave for也是一个表示位置变化的动词。故A正确。 考点:考查将来时的表达法 点评:考查将来时的表达法。Be to do sth表示计划的事情;表示注定要做某事;也可以表示命令做某事,相当于have to, must,should; will表示一般的将来,或者临时决定做某事;be going to do sth表示按照计划安排要做某事;或者根据某种迹象要做某事;be about to do sth即将做某事,不与表示将来时的时间状语连用。现在进行时表示一般将来时,表示按照计划安排要发生的事情,且动词要是一些表示位置变化的动词。。
+
+
+【题干】：Jack knows _ little English that he has never found an _ job. A. such; exciting B. so; exciting C. such; excited D. so; excited
+【答案】：B
+【解析】：试题分析:考查so, such的特殊用法。当名词前面有many, much, few, little(少)修饰的时候,我们可以把such改为so,但是当little表示个子矮小的时候,还是使用such修饰名词。本题的little表示的是数量少;第二空用现在分词转换的形容词修饰表示事物的名词。句意:Jack对于英语方面的知识所知很少,以至于他从未找到一个让人兴奋的好工作。故B正确。 考点:考查特殊用法 点评:通常so修饰形容词副词,such修饰名词,但是当名词前面有many, much, few, little(少)修饰的时候,我们可以把such改为so,但是当little表示个子矮小的时候,还是使用such修饰名词。。
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+15:47:57,785 graphrag.config.read_dotenv INFO Loading pipeline .env file
+15:47:57,789 graphrag.index.cli INFO using default configuration: {
+    "llm": {
+        "api_key": "REDACTED, length 5",
+        "type": "openai_chat",
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+            "num_threads": 50
+        },
+        "async_mode": "threaded",
+        "prompt": "prompts/community_report.txt",
+        "max_length": 2000,
+        "max_input_length": 4000,
+        "strategy": null
+    },
+    "claim_extraction": {
+        "llm": {
+            "api_key": "REDACTED, length 5",
+            "type": "openai_chat",
+            "model": "qwen2:0.5b",
+            "max_tokens": 8192,
+            "temperature": 0.0,
+            "top_p": 1.0,
+            "n": 1,
+            "request_timeout": 180.0,
+            "api_base": "http://localhost:11434/v1",
+            "api_version": null,
+            "proxy": null,
+            "cognitive_services_endpoint": null,
+            "deployment_name": null,
+            "model_supports_json": true,
+            "tokens_per_minute": 0,
+            "requests_per_minute": 0,
+            "max_retries": 3,
+            "max_retry_wait": 10.0,
+            "sleep_on_rate_limit_recommendation": true,
+            "concurrent_requests": 25
+        },
+        "parallelization": {
+            "stagger": 0.3,
+            "num_threads": 50
+        },
+        "async_mode": "threaded",
+        "enabled": false,
+        "prompt": "prompts/claim_extraction.txt",
+        "description": "Any claims or facts that could be relevant to information discovery.",
+        "max_gleanings": 1,
+        "strategy": null
+    },
+    "cluster_graph": {
+        "max_cluster_size": 10,
+        "strategy": null
+    },
+    "umap": {
+        "enabled": false
+    },
+    "local_search": {
+        "text_unit_prop": 0.5,
+        "community_prop": 0.1,
+        "conversation_history_max_turns": 5,
+        "top_k_entities": 10,
+        "top_k_relationships": 10,
+        "temperature": 0.0,
+        "top_p": 1.0,
+        "n": 1,
+        "max_tokens": 12000,
+        "llm_max_tokens": 2000
+    },
+    "global_search": {
+        "temperature": 0.0,
+        "top_p": 1.0,
+        "n": 1,
+        "max_tokens": 12000,
+        "data_max_tokens": 12000,
+        "map_max_tokens": 1000,
+        "reduce_max_tokens": 2000,
+        "concurrency": 32
+    },
+    "encoding_model": "cl100k_base",
+    "skip_workflows": []
+}
+15:47:57,790 graphrag.index.create_pipeline_config INFO skipping workflows 
+15:47:57,796 graphrag.index.run INFO Running pipeline
+15:47:57,796 graphrag.index.storage.file_pipeline_storage INFO Creating file storage at indexing/output/20240819-154757/artifacts
+15:47:57,796 graphrag.index.input.load_input INFO loading input from root_dir=input
+15:47:57,796 graphrag.index.input.load_input INFO using file storage for input
+15:47:57,796 graphrag.index.storage.file_pipeline_storage INFO search indexing/input for files matching .*\.txt$
+15:47:57,796 graphrag.index.input.text INFO found text files from input, found [('ai-answer-train-set-28-2803-2000.txt', {})]
+15:47:57,801 graphrag.index.input.text INFO Found 1 files, loading 1
+15:47:57,802 graphrag.index.workflows.load INFO Workflow Run Order: ['create_base_text_units', 'create_base_extracted_entities', 'create_summarized_entities', 'create_base_entity_graph', 'create_final_entities', 'create_final_nodes', 'create_final_communities', 'join_text_units_to_entity_ids', 'create_final_relationships', 'join_text_units_to_relationship_ids', 'create_final_community_reports', 'create_final_text_units', 'create_base_documents', 'create_final_documents']
+15:47:57,802 graphrag.index.run INFO Final # of rows loaded: 1
+15:47:57,898 graphrag.index.run INFO Running workflow: create_base_text_units...
+15:47:57,898 graphrag.index.run INFO dependencies for create_base_text_units: []
+15:47:57,898 datashaper.workflow.workflow INFO executing verb orderby
+15:47:57,899 datashaper.workflow.workflow INFO executing verb zip
+15:47:57,900 datashaper.workflow.workflow INFO executing verb aggregate_override
+15:47:57,901 datashaper.workflow.workflow INFO executing verb chunk
+15:47:58,163 datashaper.workflow.workflow INFO executing verb select
+15:47:58,164 datashaper.workflow.workflow INFO executing verb unroll
+15:47:58,165 datashaper.workflow.workflow INFO executing verb rename
+15:47:58,165 datashaper.workflow.workflow INFO executing verb genid
+15:47:58,175 datashaper.workflow.workflow INFO executing verb unzip
+15:47:58,176 datashaper.workflow.workflow INFO executing verb copy
+15:47:58,176 datashaper.workflow.workflow INFO executing verb filter
+15:47:58,183 graphrag.index.emit.parquet_table_emitter INFO emitting parquet table create_base_text_units.parquet
+15:47:58,290 graphrag.index.run INFO Running workflow: create_base_extracted_entities...
+15:47:58,290 graphrag.index.run INFO dependencies for create_base_extracted_entities: ['create_base_text_units']
+15:47:58,291 graphrag.index.run INFO read table from storage: create_base_text_units.parquet
+15:47:58,296 datashaper.workflow.workflow INFO executing verb entity_extract
+15:47:58,313 graphrag.llm.openai.create_openai_client INFO Creating OpenAI client base_url=http://localhost:11434/v1
+15:47:58,327 graphrag.index.llm.load_llm INFO create TPM/RPM limiter for qwen2:0.5b: TPM=0, RPM=0
+15:47:58,327 graphrag.index.llm.load_llm INFO create concurrency limiter for qwen2:0.5b: 25
+15:50:58,515 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: �的关系代词that除了连接主句和从句之外,在从句中作一定成分,有时可省略。 Along with the letter was his promise that he would visit me this coming Christmas.随信一起来的是他的承诺,他说会在即将到来的圣诞节来看我。(同位语从句中的that不做任何成分) The suggestion (that) he made at the meeting was very right.他在会议上给出的建议是正确的。(此定语从句中的that在从句中作宾语,可以省略) 2)从语义角度来看,同位语从句that引导的从句在句中解释说明前面的名词,而定语从句中that引导的从句则是起到修饰限定先行词的作用。 The news that we are having a holiday tomorrow is not true.明天放假的消息不实。(that引导的从句说明news的内容) He lost his money that had been saved for a long time.他丢了存了很久的钱。(that引导的定语从句,修饰限定先行词money)。\n\n\n【题干】：Nowadays many parents tend to be tolerant _ their children’s choices of majors at university. A. as a consequence of B. regardless of C. in regard to D. at the mercy of\n【答案】：C\n【解析】：【详解】考查介词词组辨析。A. as a consequence of结果;B. regardless of不管;C. in regard to关于;D. at the mercy of支配。句意:如今,许多父母对子女选择大学专业持宽容态度。故C选项正确。。\n\n\n【题干】：Mary worked here as a _ secretary and ended up _ a full-time job with the company. A. admirable; getting B. temporary; getting C. previous; to get D. cautious; to get\n【答案】：B\n######################\nOutput:'}
+15:50:58,516 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: make a forest独木不成林;B. Where there’s life, there’s hope有生命就有希望;C. One false step will make a great difference失之毫厘,谬之千里;D. Never put off till tomorrow what you can do today今日事,今日毕。由语境I told you to be careful before.可知,答案为C。故C选项正确。.。\n\n\n【题干】：Much to my _, my vocabulary has expanded a great deal. A. delighting B. delighted C. delight\n【答案】：C\n【解析】：【详解】考查固定用法。句意:令我高兴的是,我的词汇量大大增加了。“much to +名词”为固定用法,意为“使某人……”,因此本小题要用名词形式。分析选项:delighting 感到高兴的,一般修饰物;delighted高兴的; 欣喜的,一般修饰人;delight快乐,高兴。由选项可知,A与B都是形容词,只有C是名词,符合题意,故选C。。\n\n\n【题干】：The book _ through the air to Aunt Dede and she began to read it aloud. A. got B. pushed C. sailed\n【答案】：C\n【解析】：【详解】考查动词辨析。got得到;pushed推;sailed掠,飘,浮游。分析语境可知,本句是指“那本书在空中传到(飘向)黛德姑妈那,她(拿过书)开始大声朗读”。故选C。。\n\n\n【题干】：He has been sent to the place _ needs him most. A. where B. that C. what D. it\n【答案】：B\n【解析】：【详解】考查定语从句。\n######################\nOutput:'}
+15:50:58,517 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 。故C选项正确。。\n\n\n【题干】：Mary worked here as a _ secretary and ended up _ a full-time job with the company. A. admirable; getting B. temporary; getting C. previous; to get D. cautious; to get\n【答案】：B\n【解析】：【详解】考查形容词及固定搭配。A. admirable令人羡慕的;B. temporary临时的;C. previous先前的;D. cautious谨慎的。句意:玛丽作为一个临时秘书在这里工作,最终在这家公司得到一份全职工作。固定搭配:end up doing sth. “最终做某事”。故B选项正确。。\n\n\n【题干】：It was obvious that there was _ between accounts of the witnesses for the murder case, so the judgment was not announced in court. A. security B. relation C. conflict D. revision\n【答案】：C\n【解析】：【详解】考查名词辨析。A. security安全;B. relation关系;C. conflict冲突;D. revision复习。句意:很明显,谋杀案目击者的叙述有冲突,所以法庭没有宣布判决。故C选项正确。。\n\n\n【题干】：— Tom, what a pity! I almost succeeded yesterday. —_. I told you to be careful before. A. One tree does not make a forest B. Where there’s life, there’s hope C. One false step will make a great difference D. Never put off till tomorrow what you can do today\n【答案】：C\n【解析】：【详解】考查谚语辨析。A. One tree does not make a forest独木不成林;B. Where there’s life, there’s hope有生命就有希望;C. One false step will make a great difference失之毫厘,谬之千里;D. Never put off till tomorrow what\n######################\nOutput:'}
+15:50:58,517 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 读”。故选C。。\n\n\n【题干】：He has been sent to the place _ needs him most. A. where B. that C. what D. it\n【答案】：B\n【解析】：【详解】考查定语从句。句意:他已经被派到最需要他的地方了。本题定语从句的先行词是the place,定语从句中缺少主语,要用关系代词that指代先行词,引导定语从句并在句中做主语。CD项不能引导定语从句,where要在句中做状语。故B项正确。【点睛】本题考查了关系代词that的用法,that是比较常见的关系代词,并且有的时候是只能用that。接下来就看看时候只用that的情况。 1当先行词是anything,everything,nothing,few,all,alone,little,some等指人或物的代词时。或者是有诸如every,any,all,no,much等词修饰时。 There seems to be nothing that can help you. 似乎没有任何事可以帮你。(nothing 出现) B. All that can be applied in the research have been rejected. 所有能被运用于研究的都被否决了。(all的出现) 2 当先行词既有人也有事物。 A. The talked the people and things in the bar that they remember. 他们谈论着他们记起的酒吧的人和事。(人和物的出现) 3 有形容词最高级修饰先行词时。 This is the best hotel in the city that I know. 这是我所知道的城市里最好的旅馆。(best 为最高级) 4.序数词修饰先行词时。 The first time that they meet together\n######################\nOutput:'}
+15:50:58,518 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: several months and it made farmers _ about the harvest. A. astonished B. anxious C. eager D. busy\n【答案】：B\n【解析】：【详解】考查形容词辨析。句意:干旱已经持续了几个月,农民们对收成感到焦虑。A. astonished惊讶的;B. anxious焦虑的;C. eager渴望的;D. busy繁忙的。be anxious about“对……感到焦虑”,干旱会影响收成,农民们自然会感到焦虑,故B选项正确。。\n\n\n【题干】：The atmosphere gets thinner and thinner _ the height increases. A. while B. since C. as D. for\n【答案】：C\n【解析】：【详解】考查连词辨析。句意:随着高度的增加,大气变得越来越稀薄。A. while当……时;B. since自从……以来;C. as随着……;D. for因为。这里表示伴随,故C选项正确。。\n\n\n【题干】：By the time he was 4 years old, he _ 100 English words. A. learns B. will have learned C. has learned D. had learned\n【答案】：D\n【解析】：【详解】考查过去完成时。句意:到他4岁的时候,他已经学会了100个英语单词。by the time引导的时间状语从句,从句过去时,主句用过去完成时。故D选项正确。【点睛】by the time意为“到……时候(为止)”,是一个介词短语,在句中经常起连词作用,引导时间状语从句。它的主要用法如下: 1. 如果从句中的谓语动词是一般过\n######################\nOutput:'}
+15:50:58,518 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 【题干】：China Daily is _a newspaper, for it also can serve as a useful textbook for English study. A. more than B. more or less C. less than D. no more than\n【答案】：A\n【解析】：【详解】考查词组。A. more than超过,不仅仅是;B. more or less或多或少;C. less than少于; D. no more than仅仅。句意:中国日报不仅是一份报纸,它还可以帮我们提高英语水平。more than后接名词表示“不仅仅是”。故选A。。\n\n\n【题干】：Due to frequent layoffs, there is anxiety among the employees _ they may one day be out of work. A. when B. how C. why D. that\n【答案】：D\n【解析】：【详解】考查连词。A. when当……的时候;B. how如何,怎么;C. why为什么;D. that(引导名词性从句,不做句子成分,只起连接作用)。句意:由于频繁的裁员,员工们担心有一天会失业。根据句意及句子结构分析可知,此处为anxiety的同位语从句,从句句子成分齐全,应使用that引导。故D选项正确。【点睛】that引导同位语从句和定语从句的区别: 1)从句法角度来看,引导同位语从句的连词that只起连接作用,在从句中不作任何成分,但不可以省略;而引导定语从句的关系代词that除了连接主句和从句之外,在从句中作一定成分,有时可省略。 Along with the letter was his promise that he would visit me this coming Christmas.随信一起来的是他\n######################\nOutput:'}
+15:50:58,519 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 时。 This is the best hotel in the city that I know. 这是我所知道的城市里最好的旅馆。(best 为最高级) 4.序数词修饰先行词时。 The first time that they meet together was yesterday. 他们第一次遇见是在昨天。(first 的出现) 5当the only,the very出现时。 Before he falls in love Amanda, the only thing that he cared is himself. 在他爱上Amanda之前,他唯一在意的是他自己。。\n\n\n【题干】：We were _ on our way to the airport because of the heavy snow. A. held up B. held out C. held back D. held with\n【答案】：A\n【解析】：【详解】考查动词短语辨析。A. held up举起,支撑;阻挡;延误;B. held out伸出,坚持;C. held back阻碍,隐藏,克制;D. held with赞成;句意:因为大雪,我们被延误在去机场的路上。根据句意可知A项正确。。\n\n\n【题干】：There is little doubt _ the Internet is a great inventionin human history. A. whether B. that C. which D. what\n【答案】：B\n【解析】：【详解】考查同位语从句。句意:毫无疑问,在人类历史上因特网是一项伟大的发明。句中同位语从句that the Internet is a great invention in human history对名词短语little doubt进行解释说明,that在句中不充当任何成分,只是一个引导词。故B项正确。【点睛】本题考查了同位语从句,同位语是对前面的名词的解释说明,当同位语部分是个句子的时候,就是同位语从句,这\n######################\nOutput:'}
+15:50:58,519 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: �B项正确。【点睛】本题考查了同位语从句,同位语是对前面的名词的解释说明,当同位语部分是个句子的时候,就是同位语从句,这种用法比较"固定" 一、在复合句中用作同位语的从句叫同位语从句。它一般跟在某些名词后面,用以说明该名词表示的具体内容。 I heard the news that our team had won. 我听到了我们队获胜的消息。 二、可以跟同位语从句的名词通常有news,idea,fact,promise,question,doubt,thought,hope,message,suggestion,words(消息),possibility, decision等(一般的“抽象”名词都可用)。 I’ve come from Mr. wang with a message that he won’t be able to see you this afternoon. 我从王先生那里来,他让我告诉你他今天下午不能来看你了。 三、英语中引导同位语从句的词通常有连词that,whether,连接代词what,who。连接副词how, when, where等。(注:if不能引导同位语从句。) He must answer the question whether he agrees with it or not. 他必须回答他是否同意这样一个问题。 四、有时同位语从句可以不紧跟在说明的名词后面,而被别的词隔开。 The thought came to him that maybe the enemy had fled the city. 他突然想起敌人可能已经逃出城了。。\n\n\n【题干】：The drought had lasted several months and it made farmers _ about the harvest. A. astonished B. anxious C. eager D. busy\n【答案】：B\n【解析】：【详解】考查形容词辨析。句意:干旱已经持续\n######################\nOutput:'}
+15:50:58,520 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: �原形来强调谓语动词。注意:此种强调只用do/does和did,没有别的形式;过去时态用did,后面的谓语动词用原形。如:Do come early. 务必早来。He did send you a letter last week. 昨天他确实寄给你一封信。。\n\n\n【题干】：Spelling Bee is a contest _ competitors, usually children, are asked to spell as many words as possible. A. which B. when C. what D. where\n【答案】：D\n【解析】：【详解】考查定语从句。句意:拼字比赛是要求参赛者,通常是孩子,拼出尽可能多的单词的比赛。此处a contest是先行词,在后面的定语从句中作地点状语,故答案为D。【点睛】分析定语从句关键抓住两点:第一、找准先行词;第二、看先行词在定语从句中所作的成分。先行词往往为名词或代词,如本题中先行词为名词a contest,再分析先行词a contest在定语从句中所作的成分,将先行词a contest带到从句中可知,只能作地点状语,故确定关系词where。。\n\n\n【题干】：He kept silent over the matter because he had no intention to risk _ in it. A. to involve B. involving C. being involved D. to be involved\n【答案】：C\n【解析】：【详解】考查非谓语动词。句意:他对这件事保持沉默,因为他不想冒险卷入其中。固定搭配:risk doing sth.“冒险做某事”,且句子主语he和involve之间\n######################\nOutput:'}
+15:50:58,520 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 禁止枪支。此处是动词不定式作后置定语,故选C。。\n\n\n【题干】：My computer _ start this morning. There must have been something wrong with it. A. wouldn’t B. shouldn’t C. couldn’t D. mustn’t\n【答案】：A\n【解析】：【详解】考查情态动词。句意:我的电脑今早启动不了。一定是出了什么问题。A. wouldn’t 不会; B. shouldn’t不应该; C. couldn’t 不能; D. mustn’t禁止,不允许。此处would表示过去的习惯或反复性的动作。故选A。。\n\n\n【题干】：- Come on, Henry. You can also enjoy as healthy a life as I _ if you can… - Are you advising me to run every morning? A. will live B. lived C. am living D. had lived\n【答案】：C\n【解析】：【详解】考查时态。句意:—快点,亨利。你也可以像我一样享受健康的生活,如果你可以……。—你是建议我每天早上跑步吗?结合句意可知此处用现在进行时态,故答案为C。。\n\n\n【题干】：It was at midnight _ we arrived at the airport, resulting from the heavy fog. A. that B. before C. since D. now that\n【答案】：A\n【解析】：【详解】考查强调句式。句意:由于大雾,我们是在午夜到达机场的。此处时强调句式,强调时间状语,It is +强调部分+that+其他-。由此可知A项正确。【点睛】浅谈强调句 1. 用It is/was...that/who...句型表示强调。 (1)陈述句的强调句型:\n######################\nOutput:'}
+15:50:58,520 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: +其他-。由此可知A项正确。【点睛】浅谈强调句 1. 用It is/was...that/who...句型表示强调。 (1)陈述句的强调句型:It is/was+被强调部分(通常是主语、宾语或状语)+that/who(当强调主语且主语指人)+其它部分。 e.g. It was yesterday that he met Li Ping. (2)一般疑问句的强调句型:同上,只是把is/was提到it前面。 e.g. Was it yesterday that he met Li Ping? (3)特殊疑问句的强调句型:被强调部分(通常是疑问代词或疑问副词)+is/was+it+that/who+其它部分?e.g. When and where was it that you were born? 2. not...until...句型的强调句: 句型为:It is/was not until+被强调部分+that+其它部分: e.g. 普通句:He didn\'t go to bed until/till his wife came back. 强调句:It was not until his wife came back that he went to bed. 注意:此句型只用until,不用till。但如果不是强调句型,till, until可通用; 因为句型中It is/was not...已经是否定句了,that后面的从句要用肯定句,切勿再用否定句了。 3. 强调谓语动词:用助动词do, does或did加动词原形来强调谓语动词。注意:此种强调只用do/does和did,没有别的形式;过去时态用did,后面的谓语动词用原形。如:Do come early. 务必\n######################\nOutput:'}
+15:50:58,521 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: ”,是一个介词短语,在句中经常起连词作用,引导时间状语从句。它的主要用法如下: 1. 如果从句中的谓语动词是一般过去时,那么主句中的谓语动词通常用过去完成时,表示“截止到从句动作发生时,主句动作已经完成,即过去的过去”。 2. 如果从句中的谓语动词为一般现在时(表示将来),那么主句中的谓语动词常为将来完成时,表示“截止到将来某一时间为止,主句动作将已经完成”。 3. 如果主句动作不强调已经完成,只是说明过去某个时候的状况,此时主句不用完成时,而应根据实际需要选用适当的时态,此时by the time相当于when。 本句符合第一点用法,故D选项正确。。\n\n\n【题干】：It was the middle of the night _ my father woke me up and told me to watch the football game. A. that B. when C. since D. which\n【答案】：B\n【解析】：【详解】考查连词。句意:那是半夜,父亲把我叫醒,叫我看足球赛。本句是when引导的时间状语从句,故B选项正确。本句不是强调句,如果把It was去掉,句子并不成立,the middle of the night前缺少介词。。\n\n\n【题干】：-Madam, if you like I can give you a lift to the downtown area. - That’s a very kind _. A. service B. offer C. promise D. choice\n【答案】：B\n【解析】：【详解】名词\n######################\nOutput:'}
+15:50:58,521 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 【题干】：-Madam, if you like I can give you a lift to the downtown area. - That’s a very kind _. A. service B. offer C. promise D. choice\n【答案】：B\n【解析】：【详解】名词辨析。A. service服务; B. offer提议; C. promise许诺; D. choice选择。句意:—夫人,如果您愿意,我可以载您到市中心。—这是一个非常好的提议。结合句意可知答案为B。。\n\n\n【题干】：- Have you ever been to Provence which is home to lavender(薰衣草) in Paris? - Yes, only once. I _ there for a week. A. had stayed B. were staying C. have stayed D. stayed\n【答案】：D\n【解析】：【详解】考查时态。句意:—你去过巴黎薰衣草的故乡普罗旺斯吗?—是的,只有一次。我在那里呆了一个星期。此处是指过去发生的一件事,与现在无关,所以用一般过去时态,故答案为D。。\n\n\n【题干】：Due to the frequent school shootings, the only way the president could imagine _ such tragedies was to ban guns across the US. A. preventing B. prevented C. to prevent D. having prevented\n【答案】：C\n【解析】：【详解】考查动词不定式作后置定语。句意:由于校园枪击案频发,总统能想到的防止此类悲剧发生的唯一办法就是在全美范围内禁止枪支。此处是动词不定式作后置定语,故选C。。\n\n\n【题干】：My computer _ start this morning. There must have been something wrong with it. A. wouldn’t B. shouldn’t C. couldn’t D.\n######################\nOutput:'}
+15:50:58,522 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: . cures治疗;B. residents居民;C. budgets预算;D. species种类。故选D。。\n\n\n【题干】：Mr. Painter wanted to design a new system to _ the water in his garden in heavy rains. A. retreat B. drain C. tremble D. shrink\n【答案】：B\n【解析】：【详解】考查动词词义辨析。句意:Painter先生想设计一种新的系统,在下大雨时来给他的花园里排水。A. retreat撤退;B. drain排出;C. tremble发抖;D. shrink退缩。故选B。。\n\n\n【题干】：The family wrote a letter to the organization to express their _ for help. A. faith B. appeal C. relief D. sight\n【答案】：B\n【解析】：【详解】考查名词词义辨析。句意:这家人写了一封信给该组织表达他们需要援助的恳求。A. faith信仰;B. appeal恳求;C. relief减轻;D. sight视力。故选B。。\n\n\n【题干】：Winning this game is _ to the team, for the result will decide whether it can defend its championship. A. contemporary B. crucial C. complicated D. constant\n【答案】：B\n【解析】：【详解】考查形容词词义辨析。句意:赢得这场比赛对球队至关重要,因为结果将决定它能否卫冕冠军。A. contemporary当代的;B. crucial决定性的;C. complicated复杂难懂的;D. constant经常的。故选B。。\n\n\n【题干】：I can’t stay out overnight without my parents’_. A. obedience B. privacy C. affection D. approval\n【答案】：D\n【解析】：【详解】考查名词词义辨析。�\n######################\nOutput:'}
+15:50:58,522 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: :他对这件事保持沉默,因为他不想冒险卷入其中。固定搭配:risk doing sth.“冒险做某事”,且句子主语he和involve之间是一种被动关系,所以这里要用动名词一般式的被动式,故选C。。\n\n\n【题干】：_in voluntary work makes him feel happy and fulfilled. A. Participate B. Participated C. Participating D. Having participated\n【答案】：C\n【解析】：【详解】考查非谓语动词。句意:参与志愿工作使他感到快乐和满足。分析句子可知,句中缺少主语,故用动名词短语作主语。故选C。。\n\n\n【题干】：The doctor tried to _ me that my mother would be fine. A. whistle B. emerge C. reassure D. bend\n【答案】：C\n【解析】：【详解】考查动词词义辨析。句意:医生试图让我放心,我的母亲会好的。A. whistle吹口哨;B. emerge浮现;C. reassure使……安心;D. bend弯曲。故选C。。\n\n\n【题干】：New Zealand is home to around 16,000 bird _,double the number in all Europe. A. cures B. residents C. budgets D. species\n【答案】：D\n【解析】：【详解】考查名词词义辨析。句意:新西兰拥有大约16,000种鸟类,是欧洲总数的两倍。A. cures治疗;B. residents居民;C. budgets预算;D. species种类。故选D。。\n\n\n【题干】：Mr. Painter wanted to design a new system to _ the water in his garden in heavy rains. A. retreat B.\n######################\nOutput:'}
+15:50:58,523 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 选B。。\n\n\n【题干】：I can’t stay out overnight without my parents’_. A. obedience B. privacy C. affection D. approval\n【答案】：D\n【解析】：【详解】考查名词词义辨析。句意:没有父母的同意,我不能在外面过夜。A. obedience服从;B. privacy隐私;C. affection影响;D. approval同意。故选D。。\n\n\n【题干】：Scientists have made a major _ in the treatment of cancer. A. barrier B. breakthrough C. companion D. concern\n【答案】：B\n【解析】：【详解】考查名词词义辨析。句意:科学家在癌症治疗方面取得了重大突破。A. barrier障碍物;B. breakthrough突破;C. companion 同伴;D. concern关心。短语make a breakthrough突破。故选B。。\n\n\n【题干】：According to Professor Smith, the best approach _ a foreign language is to study the spoken language. A. to learn B. to learning C. of learning D. on learning\n【答案】：B\n【解析】：【详解】考查固定搭配。句意:史密斯教授认为,学习外语的最好方法是学习口语。the approach to doing sth.“做某事的方法”,此处to是介词,后面用动名词作表语,故选B。。\n\n\n【题干】：Hey, you _ at the computer all day. You should really take a break now. A. have been sitting B. were sitting C. did sit D. are sitting\n【答案】：A\n【解析】：【详解】考查现在完成进行时态。句意:嘿,你整天都坐在电脑前。你现在真的应该休息一下。结合句意可知句子用\n######################\nOutput:'}
+15:50:58,523 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 【解析】：【详解】考查现在完成进行时态。句意:嘿,你整天都坐在电脑前。你现在真的应该休息一下。结合句意可知句子用现在完成进行时态,故选A。。\n\n\n【题干】：Over the last three decades, the number of people participating in physical fitness programs _ sharply. A. was increasing B. has increased C. had increased D. will be increasing\n【答案】：B\n【解析】：【详解】考查时态。句意:在过去的三十年里,参加健身计划的人数急剧增加。Over the last three decades“在最近的30年里”和现在完成时态连用,故选B。。\n\n\n【题干】：Well, if Father’s job means that we have to move away from our house and the sliding banister and my three best friends for life, then I think Father should _ about his job, don’t you? A. have big things in mind B. let the matters drop C. stretch out D. think twice\n【答案】：D\n【解析】：【详解】考查动词词组辨析。A. have big things in mind胸怀大志;B. let the matters drop让事情过去吧;C. stretch out展开;D. think twice三思而后行。句意:好吧,如果父亲的工作意味着我们必须离开我们的房子、滑动的楼梯扶手和我的三个最好的朋友,那么我认为父亲应该三思而后行,不是吗?故D选项正确。。\n\n\n【题干】：There was a plaque _ the top of the bench but she couldn\'t read the inscription from this distance. A. secured on B. tangled in C. applied to D. attached to\n【答案】：D\n【解析】：【详解】考查动词词组辨析。A. secured on\n######################\nOutput:'}
+15:50:58,524 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: of the bench but she couldn\'t read the inscription from this distance. A. secured on B. tangled in C. applied to D. attached to\n【答案】：D\n【解析】：【详解】考查动词词组辨析。A. secured on保证;B. tangled in纠缠;C. applied to申请;D. attached to附属于。句意:长凳顶上挂着一块牌匾,但她隔着这么远看不清上面的铭文。故D选项正确。。\n\n\n【题干】：Instead the ground was made of a sand-like substance, and as far as she could _ there was nothing but low huts and large square buildings dotted around and one or two smoke stacks in the distance. A. make sense B. make out C. make the best D. make it clear\n【答案】：B\n【解析】：【详解】考查动词词组辨析。A. make sense说得通;B. make out辨认出;C. make the best尽力而为;D. make it clear明确表明。句意:相反,地面是用沙子一样的东西铺成的,在她所能看到的范围内,除了低矮的小屋和四四方方的大楼房外,什么也没有,远处还有一两个烟囱。故B选项正确。【点睛】动词固定短语辨析是单项选择和完形填空中常考考点,需要大家注意积累。例如make的一些词组: make sure that确信;证实 make up 弥补;组成;化妆;整理 make full use of 充分利用 make up for 补偿,弥补 make a difference 有影响,有关系 make good use of 充分利用;很好地使用 make out 理解;辨认出;说明;填写;设法应付\n######################\nOutput:'}
+15:50:58,524 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: D. told\n【答案】：D\n【解析】：【详解】考查过去分词作状语。句意:尽管被告知有危险,布朗先生仍然冒着生命危险去救火灾中的男孩。此处句子主语Mr. Brown和tell之间是一种被动关系,与连词Though一起引导作让步状语,故选D。。\n\n\n【题干】：He sold this car for only 2000 dollars, so the buyer got a wonderful_. A. cost B. worth C. value D. bargain\n【答案】：D\n【解析】：【详解】考查名词。A. cost费用; B. worth价值,财产; C. value价值; D. bargain交易,便宜货。句意:他以二千美元的价格把这辆车卖了,买主买得很便宜。结合句意可知答案为D。。\n\n\n【题干】：The observer’s statement about the accident was very ; we know almost everything about it now. A. specific B. especial C. particular D. special\n【答案】：A\n【解析】：【详解】考查形容词辨析。句意:旁观者关于事故的陈述非常具体;我们现在几乎对它了如指掌。A. specific 具体的; B. especial尤其的; C. particular特殊的; D. special非一般的。由“ everything ”可知,旁观者关于事故的陈述非常具体。故A选项正确。。\n\n\n【题干】：What will the world use for power when it has _ oil? A. given out of B. given out C. run out of D. run out\n【答案】：C\n【解析】：【详解】考查动词短语。句意:当石\n######################\nOutput:'}
+15:50:58,525 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: �分利用 make up for 补偿,弥补 make a difference 有影响,有关系 make good use of 充分利用;很好地使用 make out 理解;辨认出;说明;填写;设法应付 make for 导致;有助于;走向 make it possible 使它变成可能 make a living 谋生,维持生活 make decision 作决定;下决心。\n\n\n【题干】：She just got on with her job, _ the furniture, washing the clothes, helping with the shopping and the cooking, sometimes taking him to school and collecting him again, although that had been more common when Bruno was eight; when he turned nine he decided he was old enough to make his way- there and home alone. A. polishing B. discarding C. resisting D. irritating\n【答案】：A\n【解析】：【详解】考查动词辨析。A. polishing抛光;B. discarding丢弃;C. resisting抵制;D. irritating刺激。句意:她只是继续她的工作,擦亮家具、洗衣服、帮忙买东西和做饭,有时带他去学校、再接他,尽管在布鲁诺8岁的时候这种情况更常见;当他九岁的时候,他觉得自己已经足够大了,可以自己走自己的路了——去那里,然后独自回家。故A选项正确。。\n\n\n【题干】：Though _ of the danger, Mr. Brown still risked his life to save the boy in the fire. A. having told B. being told C. to be told D. told\n【答案】：D\n【解析】：【详解】考查过去分词作状语。句意:尽管被告知有危险,布朗先生仍然冒着生命\n######################\nOutput:'}
+15:50:58,525 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 句意:只要你尽力而为,即使将来可能失败也不会有人指责你。A. as though仿佛;B. in case万一;C. now that既然;D. even if即使。前后是让步关系,此处应用even if引导让步状语从句。。\n\n\n【题干】：I’ve spent _ most exciting day today, for _ younger of my two sons has been admitted into the university. A. a;a B. a;the C. the;a D. the;/\n【答案】：B\n【解析】：【详解】考查冠词的用法。句意:我今天度过了非常兴奋的一天,因为我两个儿子中较小的那一个已经被大学录取。a/an + most +形容词"非常……"。而指"两个中较……的"时,常常用the + 比较级+ of the two。 故选B。。\n\n\n【题干】：They have read the paper many times, but it doesn’t make any _. A. sense B. value C. mark D. symbol\n【答案】：A\n【解析】：【详解】考查名词辨析和搭配。句意:他们已经读了这篇论文很多遍了,但是还是没有理解。sense意义;value价值;mark标志;symbol象征。make sense有意义, 理解,讲得通。根据语境可知A符合题意,故选A。。\n\n\n【题干】：Yesterday she got _, giving us no choice but to send her to the nearest hospital. A. sicker and sicker B. sick and sick C. more sicker D. less sicker\n【答案】：A\n【解析】：【详解】考查比较级。句意:昨天她的病变得越来越严重了,我们别无选择只能送她去了最\n######################\nOutput:'}
+15:50:58,526 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: sicker\n【答案】：A\n【解析】：【详解】考查比较级。句意:昨天她的病变得越来越严重了,我们别无选择只能送她去了最近的医院。sicker本身是比较级形式,其前不可再加more或less,排除C、D两项;表示程度不断加深要用"比较级+and+比较级"结构,故选A。。\n\n\n【题干】：As a great scientist, little joy can equal_ of being awarded the Nobel Prize. A. that B. this C. it D. one\n【答案】：A\n【解析】：【详解】考查代词。句意:作为一个伟大的科学家,任何喜悦都赶不上获得诺贝尔奖。空处指代"获得诺贝尔奖的喜悦",与前面的"joy"相比是同类不同物,应使用that代替。。\n\n\n【题干】：For Lucy, the most necessary thing is to find a suitable job, _ in which she can earn her living and fulfill her potential. A. that B. it C. the one D. one\n【答案】：D\n【解析】：【详解】考查替代。句意:对Lucy来说,当务之急是找到一份合适的工作,一份能够让她谋生并发挥潜力的工作。这里one指代a suitable job,在句中作a suitable job的同位语。故答案为D。。\n\n\n【题干】：We find _easy to get along with our new teachers here. A. that B. it C. this D. 不填\n【答案】：B\n【解析】：【详解】考查代词it的用法。句意:我们发现与我们这里的新老师相处很容易。此处\n######################\nOutput:'}
+15:50:58,526 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: that B. it C. this D. 不填\n【答案】：B\n【解析】：【详解】考查代词it的用法。句意:我们发现与我们这里的新老师相处很容易。此处it作形式宾语,而真正的宾语为后面的不定式结构to get along with our new teachers here。故选B。。\n\n\n【题干】：_ all of them are strong candidates, only one will be chosen for the post. A. Since B. While C. Once D. As\n【答案】：B\n【解析】：【详解】考查状语从句连词。句意:尽管他们都是强有力的候选人,但只有一个人可以被选中担任这个职位。连词while意为“当……时;尽管;然而;”本句中表示“尽管”,引导让步状语从句。故B项正确。【点睛】本题考查了while的用法,在英语的从句里连词while的用法是比较复杂的。 一、while作为并列连词,意思为“而,然而”,表前后意义上的对比或转折。 例如:There’s plenty of rain in the southeast, while there\'s little in the northeast. 东南部雨量充足,而西北部则很少下雨。 Some people waste food while others haven\'t enough. 有些人浪费粮食,然而有些人却吃不饱。 二、另外while还有别的用法,while引导状语从句,有以下两种含义: 1.表示某个动作正在进行的同时,另一动作也在进行之中,这时主从句都用进行时态,有对同类的两个动作进行对比的意味.如: While I was playing the piano, she was dancing.我在弹�\n######################\nOutput:'}
+15:50:58,527 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: �拟语气。句意:我多么希望我没有去修理那块表!我只让事情变得更糟了。动词wish后接宾语从句时,从句谓语要用虚拟语气若表示与过去相反的愿望,从句谓语用过去完成时。根据句意以及“made”可知,B选项正确。【点睛】wish后宾语从句用虚拟语气 动词wish后接宾语从句时,从句谓语要用虚拟语气。1.若要表示与现在事实相反的愿望,从句谓语用一般过去时;2.若表示与过去相反的愿望,从句谓语用过去完成时;3.若表示将来没有把握或不太可能实现的愿望,用would (could)+动词原形。本句符合第2点用法,故B选项正确。。\n\n\n【题干】：In recent years, in many Western countries, in the USA and the UK, Halloween has become a special occasion. A. in general B. in brief C. in short D. in particular\n【答案】：D\n【解析】：【详解】考查介词短语辨析。A. in general意为"总的说来,通常";B. in brief意为"简言之";C. in short意为"总之,简而言之";D. in particular意为"尤其,特别"。句意:近年来,在许多西方国家,尤其是在美国和英国,万圣节前夕已经成为一种特殊的场合。故D选项正确。。\n\n\n【题干】：When faced with challenges, firmly believe that holding on to your dreams and doubling your efforts will _ lead to success. A. deliberately B. eventually C. automatically D.\n######################\nOutput:'}
+15:50:58,527 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: the world use for power when it has _ oil? A. given out of B. given out C. run out of D. run out\n【答案】：C\n【解析】：【详解】考查动词短语。句意:当石油枯竭的时候,全世界将会用什么作为能源呢。(1)run out of意为“用完了”,是及物短语,表示主动意义,主语一般是人。 (2)run out意为“用完”,是不及物短语,其主语通常为时间、食物、金钱等名词。3)give out用尽,精疲力竭,为不及物短语。故C选项正确。。\n\n\n【题干】：I did not see your sister at the meeting. If she , she would have met my brother A. has come B. did come C. come D. had come\n【答案】：D\n【解析】：【详解】考查虚拟语气。句意:我没有在会上见到你妹妹。如果她来了,她会遇见我哥哥的。if 引导的虚拟条件句,与过去事实相反的假设。主句谓语动词形式would/could/might/should have done,条件从句的谓语动词形式had done。故D选项正确。【点睛】If 引导的虚拟条件句 条件从句的谓语动词形式 主句谓语动词形式 与过去事实相反的假设 had done would/could/might/should have done 与现在事实相反的假设 过去时(was→were) would/could/might/should do 与将来事实相反的假设 过去时 (was→were ) ; should do; were to do would/could/might/should do 本句表示与\n######################\nOutput:'}
+15:53:59,542 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 禁止枪支。此处是动词不定式作后置定语,故选C。。\n\n\n【题干】：My computer _ start this morning. There must have been something wrong with it. A. wouldn’t B. shouldn’t C. couldn’t D. mustn’t\n【答案】：A\n【解析】：【详解】考查情态动词。句意:我的电脑今早启动不了。一定是出了什么问题。A. wouldn’t 不会; B. shouldn’t不应该; C. couldn’t 不能; D. mustn’t禁止,不允许。此处would表示过去的习惯或反复性的动作。故选A。。\n\n\n【题干】：- Come on, Henry. You can also enjoy as healthy a life as I _ if you can… - Are you advising me to run every morning? A. will live B. lived C. am living D. had lived\n【答案】：C\n【解析】：【详解】考查时态。句意:—快点,亨利。你也可以像我一样享受健康的生活,如果你可以……。—你是建议我每天早上跑步吗?结合句意可知此处用现在进行时态,故答案为C。。\n\n\n【题干】：It was at midnight _ we arrived at the airport, resulting from the heavy fog. A. that B. before C. since D. now that\n【答案】：A\n【解析】：【详解】考查强调句式。句意:由于大雾,我们是在午夜到达机场的。此处时强调句式,强调时间状语,It is +强调部分+that+其他-。由此可知A项正确。【点睛】浅谈强调句 1. 用It is/was...that/who...句型表示强调。 (1)陈述句的强调句型:\n######################\nOutput:'}
+15:53:59,562 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: the world use for power when it has _ oil? A. given out of B. given out C. run out of D. run out\n【答案】：C\n【解析】：【详解】考查动词短语。句意:当石油枯竭的时候,全世界将会用什么作为能源呢。(1)run out of意为“用完了”,是及物短语,表示主动意义,主语一般是人。 (2)run out意为“用完”,是不及物短语,其主语通常为时间、食物、金钱等名词。3)give out用尽,精疲力竭,为不及物短语。故C选项正确。。\n\n\n【题干】：I did not see your sister at the meeting. If she , she would have met my brother A. has come B. did come C. come D. had come\n【答案】：D\n【解析】：【详解】考查虚拟语气。句意:我没有在会上见到你妹妹。如果她来了,她会遇见我哥哥的。if 引导的虚拟条件句,与过去事实相反的假设。主句谓语动词形式would/could/might/should have done,条件从句的谓语动词形式had done。故D选项正确。【点睛】If 引导的虚拟条件句 条件从句的谓语动词形式 主句谓语动词形式 与过去事实相反的假设 had done would/could/might/should have done 与现在事实相反的假设 过去时(was→were) would/could/might/should do 与将来事实相反的假设 过去时 (was→were ) ; should do; were to do would/could/might/should do 本句表示与\n######################\nOutput:'}
+15:53:59,706 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: several months and it made farmers _ about the harvest. A. astonished B. anxious C. eager D. busy\n【答案】：B\n【解析】：【详解】考查形容词辨析。句意:干旱已经持续了几个月,农民们对收成感到焦虑。A. astonished惊讶的;B. anxious焦虑的;C. eager渴望的;D. busy繁忙的。be anxious about“对……感到焦虑”,干旱会影响收成,农民们自然会感到焦虑,故B选项正确。。\n\n\n【题干】：The atmosphere gets thinner and thinner _ the height increases. A. while B. since C. as D. for\n【答案】：C\n【解析】：【详解】考查连词辨析。句意:随着高度的增加,大气变得越来越稀薄。A. while当……时;B. since自从……以来;C. as随着……;D. for因为。这里表示伴随,故C选项正确。。\n\n\n【题干】：By the time he was 4 years old, he _ 100 English words. A. learns B. will have learned C. has learned D. had learned\n【答案】：D\n【解析】：【详解】考查过去完成时。句意:到他4岁的时候,他已经学会了100个英语单词。by the time引导的时间状语从句,从句过去时,主句用过去完成时。故D选项正确。【点睛】by the time意为“到……时候(为止)”,是一个介词短语,在句中经常起连词作用,引导时间状语从句。它的主要用法如下: 1. 如果从句中的谓语动词是一般过\n######################\nOutput:'}
+15:53:59,745 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: D. told\n【答案】：D\n【解析】：【详解】考查过去分词作状语。句意:尽管被告知有危险,布朗先生仍然冒着生命危险去救火灾中的男孩。此处句子主语Mr. Brown和tell之间是一种被动关系,与连词Though一起引导作让步状语,故选D。。\n\n\n【题干】：He sold this car for only 2000 dollars, so the buyer got a wonderful_. A. cost B. worth C. value D. bargain\n【答案】：D\n【解析】：【详解】考查名词。A. cost费用; B. worth价值,财产; C. value价值; D. bargain交易,便宜货。句意:他以二千美元的价格把这辆车卖了,买主买得很便宜。结合句意可知答案为D。。\n\n\n【题干】：The observer’s statement about the accident was very ; we know almost everything about it now. A. specific B. especial C. particular D. special\n【答案】：A\n【解析】：【详解】考查形容词辨析。句意:旁观者关于事故的陈述非常具体;我们现在几乎对它了如指掌。A. specific 具体的; B. especial尤其的; C. particular特殊的; D. special非一般的。由“ everything ”可知,旁观者关于事故的陈述非常具体。故A选项正确。。\n\n\n【题干】：What will the world use for power when it has _ oil? A. given out of B. given out C. run out of D. run out\n【答案】：C\n【解析】：【详解】考查动词短语。句意:当石\n######################\nOutput:'}
+15:53:59,779 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: that B. it C. this D. 不填\n【答案】：B\n【解析】：【详解】考查代词it的用法。句意:我们发现与我们这里的新老师相处很容易。此处it作形式宾语,而真正的宾语为后面的不定式结构to get along with our new teachers here。故选B。。\n\n\n【题干】：_ all of them are strong candidates, only one will be chosen for the post. A. Since B. While C. Once D. As\n【答案】：B\n【解析】：【详解】考查状语从句连词。句意:尽管他们都是强有力的候选人,但只有一个人可以被选中担任这个职位。连词while意为“当……时;尽管;然而;”本句中表示“尽管”,引导让步状语从句。故B项正确。【点睛】本题考查了while的用法,在英语的从句里连词while的用法是比较复杂的。 一、while作为并列连词,意思为“而,然而”,表前后意义上的对比或转折。 例如:There’s plenty of rain in the southeast, while there\'s little in the northeast. 东南部雨量充足,而西北部则很少下雨。 Some people waste food while others haven\'t enough. 有些人浪费粮食,然而有些人却吃不饱。 二、另外while还有别的用法,while引导状语从句,有以下两种含义: 1.表示某个动作正在进行的同时,另一动作也在进行之中,这时主从句都用进行时态,有对同类的两个动作进行对比的意味.如: While I was playing the piano, she was dancing.我在弹�\n######################\nOutput:'}
+15:53:59,867 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: ”,是一个介词短语,在句中经常起连词作用,引导时间状语从句。它的主要用法如下: 1. 如果从句中的谓语动词是一般过去时,那么主句中的谓语动词通常用过去完成时,表示“截止到从句动作发生时,主句动作已经完成,即过去的过去”。 2. 如果从句中的谓语动词为一般现在时(表示将来),那么主句中的谓语动词常为将来完成时,表示“截止到将来某一时间为止,主句动作将已经完成”。 3. 如果主句动作不强调已经完成,只是说明过去某个时候的状况,此时主句不用完成时,而应根据实际需要选用适当的时态,此时by the time相当于when。 本句符合第一点用法,故D选项正确。。\n\n\n【题干】：It was the middle of the night _ my father woke me up and told me to watch the football game. A. that B. when C. since D. which\n【答案】：B\n【解析】：【详解】考查连词。句意:那是半夜,父亲把我叫醒,叫我看足球赛。本句是when引导的时间状语从句,故B选项正确。本句不是强调句,如果把It was去掉,句子并不成立,the middle of the night前缺少介词。。\n\n\n【题干】：-Madam, if you like I can give you a lift to the downtown area. - That’s a very kind _. A. service B. offer C. promise D. choice\n【答案】：B\n【解析】：【详解】名词\n######################\nOutput:'}
+15:53:59,870 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: �分利用 make up for 补偿,弥补 make a difference 有影响,有关系 make good use of 充分利用;很好地使用 make out 理解;辨认出;说明;填写;设法应付 make for 导致;有助于;走向 make it possible 使它变成可能 make a living 谋生,维持生活 make decision 作决定;下决心。\n\n\n【题干】：She just got on with her job, _ the furniture, washing the clothes, helping with the shopping and the cooking, sometimes taking him to school and collecting him again, although that had been more common when Bruno was eight; when he turned nine he decided he was old enough to make his way- there and home alone. A. polishing B. discarding C. resisting D. irritating\n【答案】：A\n【解析】：【详解】考查动词辨析。A. polishing抛光;B. discarding丢弃;C. resisting抵制;D. irritating刺激。句意:她只是继续她的工作,擦亮家具、洗衣服、帮忙买东西和做饭,有时带他去学校、再接他,尽管在布鲁诺8岁的时候这种情况更常见;当他九岁的时候,他觉得自己已经足够大了,可以自己走自己的路了——去那里,然后独自回家。故A选项正确。。\n\n\n【题干】：Though _ of the danger, Mr. Brown still risked his life to save the boy in the fire. A. having told B. being told C. to be told D. told\n【答案】：D\n【解析】：【详解】考查过去分词作状语。句意:尽管被告知有危险,布朗先生仍然冒着生命\n######################\nOutput:'}
+15:53:59,930 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 选B。。\n\n\n【题干】：I can’t stay out overnight without my parents’_. A. obedience B. privacy C. affection D. approval\n【答案】：D\n【解析】：【详解】考查名词词义辨析。句意:没有父母的同意,我不能在外面过夜。A. obedience服从;B. privacy隐私;C. affection影响;D. approval同意。故选D。。\n\n\n【题干】：Scientists have made a major _ in the treatment of cancer. A. barrier B. breakthrough C. companion D. concern\n【答案】：B\n【解析】：【详解】考查名词词义辨析。句意:科学家在癌症治疗方面取得了重大突破。A. barrier障碍物;B. breakthrough突破;C. companion 同伴;D. concern关心。短语make a breakthrough突破。故选B。。\n\n\n【题干】：According to Professor Smith, the best approach _ a foreign language is to study the spoken language. A. to learn B. to learning C. of learning D. on learning\n【答案】：B\n【解析】：【详解】考查固定搭配。句意:史密斯教授认为,学习外语的最好方法是学习口语。the approach to doing sth.“做某事的方法”,此处to是介词,后面用动名词作表语,故选B。。\n\n\n【题干】：Hey, you _ at the computer all day. You should really take a break now. A. have been sitting B. were sitting C. did sit D. are sitting\n【答案】：A\n【解析】：【详解】考查现在完成进行时态。句意:嘿,你整天都坐在电脑前。你现在真的应该休息一下。结合句意可知句子用\n######################\nOutput:'}
+15:53:59,971 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: of the bench but she couldn\'t read the inscription from this distance. A. secured on B. tangled in C. applied to D. attached to\n【答案】：D\n【解析】：【详解】考查动词词组辨析。A. secured on保证;B. tangled in纠缠;C. applied to申请;D. attached to附属于。句意:长凳顶上挂着一块牌匾,但她隔着这么远看不清上面的铭文。故D选项正确。。\n\n\n【题干】：Instead the ground was made of a sand-like substance, and as far as she could _ there was nothing but low huts and large square buildings dotted around and one or two smoke stacks in the distance. A. make sense B. make out C. make the best D. make it clear\n【答案】：B\n【解析】：【详解】考查动词词组辨析。A. make sense说得通;B. make out辨认出;C. make the best尽力而为;D. make it clear明确表明。句意:相反,地面是用沙子一样的东西铺成的,在她所能看到的范围内,除了低矮的小屋和四四方方的大楼房外,什么也没有,远处还有一两个烟囱。故B选项正确。【点睛】动词固定短语辨析是单项选择和完形填空中常考考点,需要大家注意积累。例如make的一些词组: make sure that确信;证实 make up 弥补;组成;化妆;整理 make full use of 充分利用 make up for 补偿,弥补 make a difference 有影响,有关系 make good use of 充分利用;很好地使用 make out 理解;辨认出;说明;填写;设法应付\n######################\nOutput:'}
+15:53:59,972 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 【解析】：【详解】考查现在完成进行时态。句意:嘿,你整天都坐在电脑前。你现在真的应该休息一下。结合句意可知句子用现在完成进行时态,故选A。。\n\n\n【题干】：Over the last three decades, the number of people participating in physical fitness programs _ sharply. A. was increasing B. has increased C. had increased D. will be increasing\n【答案】：B\n【解析】：【详解】考查时态。句意:在过去的三十年里,参加健身计划的人数急剧增加。Over the last three decades“在最近的30年里”和现在完成时态连用,故选B。。\n\n\n【题干】：Well, if Father’s job means that we have to move away from our house and the sliding banister and my three best friends for life, then I think Father should _ about his job, don’t you? A. have big things in mind B. let the matters drop C. stretch out D. think twice\n【答案】：D\n【解析】：【详解】考查动词词组辨析。A. have big things in mind胸怀大志;B. let the matters drop让事情过去吧;C. stretch out展开;D. think twice三思而后行。句意:好吧,如果父亲的工作意味着我们必须离开我们的房子、滑动的楼梯扶手和我的三个最好的朋友,那么我认为父亲应该三思而后行,不是吗?故D选项正确。。\n\n\n【题干】：There was a plaque _ the top of the bench but she couldn\'t read the inscription from this distance. A. secured on B. tangled in C. applied to D. attached to\n【答案】：D\n【解析】：【详解】考查动词词组辨析。A. secured on\n######################\nOutput:'}
+15:54:00,97 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: �的关系代词that除了连接主句和从句之外,在从句中作一定成分,有时可省略。 Along with the letter was his promise that he would visit me this coming Christmas.随信一起来的是他的承诺,他说会在即将到来的圣诞节来看我。(同位语从句中的that不做任何成分) The suggestion (that) he made at the meeting was very right.他在会议上给出的建议是正确的。(此定语从句中的that在从句中作宾语,可以省略) 2)从语义角度来看,同位语从句that引导的从句在句中解释说明前面的名词,而定语从句中that引导的从句则是起到修饰限定先行词的作用。 The news that we are having a holiday tomorrow is not true.明天放假的消息不实。(that引导的从句说明news的内容) He lost his money that had been saved for a long time.他丢了存了很久的钱。(that引导的定语从句,修饰限定先行词money)。\n\n\n【题干】：Nowadays many parents tend to be tolerant _ their children’s choices of majors at university. A. as a consequence of B. regardless of C. in regard to D. at the mercy of\n【答案】：C\n【解析】：【详解】考查介词词组辨析。A. as a consequence of结果;B. regardless of不管;C. in regard to关于;D. at the mercy of支配。句意:如今,许多父母对子女选择大学专业持宽容态度。故C选项正确。。\n\n\n【题干】：Mary worked here as a _ secretary and ended up _ a full-time job with the company. A. admirable; getting B. temporary; getting C. previous; to get D. cautious; to get\n【答案】：B\n######################\nOutput:'}
+15:54:00,116 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: make a forest独木不成林;B. Where there’s life, there’s hope有生命就有希望;C. One false step will make a great difference失之毫厘,谬之千里;D. Never put off till tomorrow what you can do today今日事,今日毕。由语境I told you to be careful before.可知,答案为C。故C选项正确。.。\n\n\n【题干】：Much to my _, my vocabulary has expanded a great deal. A. delighting B. delighted C. delight\n【答案】：C\n【解析】：【详解】考查固定用法。句意:令我高兴的是,我的词汇量大大增加了。“much to +名词”为固定用法,意为“使某人……”,因此本小题要用名词形式。分析选项:delighting 感到高兴的,一般修饰物;delighted高兴的; 欣喜的,一般修饰人;delight快乐,高兴。由选项可知,A与B都是形容词,只有C是名词,符合题意,故选C。。\n\n\n【题干】：The book _ through the air to Aunt Dede and she began to read it aloud. A. got B. pushed C. sailed\n【答案】：C\n【解析】：【详解】考查动词辨析。got得到;pushed推;sailed掠,飘,浮游。分析语境可知,本句是指“那本书在空中传到(飘向)黛德姑妈那,她(拿过书)开始大声朗读”。故选C。。\n\n\n【题干】：He has been sent to the place _ needs him most. A. where B. that C. what D. it\n【答案】：B\n【解析】：【详解】考查定语从句。\n######################\nOutput:'}
+15:54:00,253 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 时。 This is the best hotel in the city that I know. 这是我所知道的城市里最好的旅馆。(best 为最高级) 4.序数词修饰先行词时。 The first time that they meet together was yesterday. 他们第一次遇见是在昨天。(first 的出现) 5当the only,the very出现时。 Before he falls in love Amanda, the only thing that he cared is himself. 在他爱上Amanda之前,他唯一在意的是他自己。。\n\n\n【题干】：We were _ on our way to the airport because of the heavy snow. A. held up B. held out C. held back D. held with\n【答案】：A\n【解析】：【详解】考查动词短语辨析。A. held up举起,支撑;阻挡;延误;B. held out伸出,坚持;C. held back阻碍,隐藏,克制;D. held with赞成;句意:因为大雪,我们被延误在去机场的路上。根据句意可知A项正确。。\n\n\n【题干】：There is little doubt _ the Internet is a great inventionin human history. A. whether B. that C. which D. what\n【答案】：B\n【解析】：【详解】考查同位语从句。句意:毫无疑问,在人类历史上因特网是一项伟大的发明。句中同位语从句that the Internet is a great invention in human history对名词短语little doubt进行解释说明,that在句中不充当任何成分,只是一个引导词。故B项正确。【点睛】本题考查了同位语从句,同位语是对前面的名词的解释说明,当同位语部分是个句子的时候,就是同位语从句,这\n######################\nOutput:'}
+15:54:00,270 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: �B项正确。【点睛】本题考查了同位语从句,同位语是对前面的名词的解释说明,当同位语部分是个句子的时候,就是同位语从句,这种用法比较"固定" 一、在复合句中用作同位语的从句叫同位语从句。它一般跟在某些名词后面,用以说明该名词表示的具体内容。 I heard the news that our team had won. 我听到了我们队获胜的消息。 二、可以跟同位语从句的名词通常有news,idea,fact,promise,question,doubt,thought,hope,message,suggestion,words(消息),possibility, decision等(一般的“抽象”名词都可用)。 I’ve come from Mr. wang with a message that he won’t be able to see you this afternoon. 我从王先生那里来,他让我告诉你他今天下午不能来看你了。 三、英语中引导同位语从句的词通常有连词that,whether,连接代词what,who。连接副词how, when, where等。(注:if不能引导同位语从句。) He must answer the question whether he agrees with it or not. 他必须回答他是否同意这样一个问题。 四、有时同位语从句可以不紧跟在说明的名词后面,而被别的词隔开。 The thought came to him that maybe the enemy had fled the city. 他突然想起敌人可能已经逃出城了。。\n\n\n【题干】：The drought had lasted several months and it made farmers _ about the harvest. A. astonished B. anxious C. eager D. busy\n【答案】：B\n【解析】：【详解】考查形容词辨析。句意:干旱已经持续\n######################\nOutput:'}
+15:54:00,300 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 【题干】：China Daily is _a newspaper, for it also can serve as a useful textbook for English study. A. more than B. more or less C. less than D. no more than\n【答案】：A\n【解析】：【详解】考查词组。A. more than超过,不仅仅是;B. more or less或多或少;C. less than少于; D. no more than仅仅。句意:中国日报不仅是一份报纸,它还可以帮我们提高英语水平。more than后接名词表示“不仅仅是”。故选A。。\n\n\n【题干】：Due to frequent layoffs, there is anxiety among the employees _ they may one day be out of work. A. when B. how C. why D. that\n【答案】：D\n【解析】：【详解】考查连词。A. when当……的时候;B. how如何,怎么;C. why为什么;D. that(引导名词性从句,不做句子成分,只起连接作用)。句意:由于频繁的裁员,员工们担心有一天会失业。根据句意及句子结构分析可知,此处为anxiety的同位语从句,从句句子成分齐全,应使用that引导。故D选项正确。【点睛】that引导同位语从句和定语从句的区别: 1)从句法角度来看,引导同位语从句的连词that只起连接作用,在从句中不作任何成分,但不可以省略;而引导定语从句的关系代词that除了连接主句和从句之外,在从句中作一定成分,有时可省略。 Along with the letter was his promise that he would visit me this coming Christmas.随信一起来的是他\n######################\nOutput:'}
+15:54:00,320 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 句意:只要你尽力而为,即使将来可能失败也不会有人指责你。A. as though仿佛;B. in case万一;C. now that既然;D. even if即使。前后是让步关系,此处应用even if引导让步状语从句。。\n\n\n【题干】：I’ve spent _ most exciting day today, for _ younger of my two sons has been admitted into the university. A. a;a B. a;the C. the;a D. the;/\n【答案】：B\n【解析】：【详解】考查冠词的用法。句意:我今天度过了非常兴奋的一天,因为我两个儿子中较小的那一个已经被大学录取。a/an + most +形容词"非常……"。而指"两个中较……的"时,常常用the + 比较级+ of the two。 故选B。。\n\n\n【题干】：They have read the paper many times, but it doesn’t make any _. A. sense B. value C. mark D. symbol\n【答案】：A\n【解析】：【详解】考查名词辨析和搭配。句意:他们已经读了这篇论文很多遍了,但是还是没有理解。sense意义;value价值;mark标志;symbol象征。make sense有意义, 理解,讲得通。根据语境可知A符合题意,故选A。。\n\n\n【题干】：Yesterday she got _, giving us no choice but to send her to the nearest hospital. A. sicker and sicker B. sick and sick C. more sicker D. less sicker\n【答案】：A\n【解析】：【详解】考查比较级。句意:昨天她的病变得越来越严重了,我们别无选择只能送她去了最\n######################\nOutput:'}
+15:54:00,326 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: :他对这件事保持沉默,因为他不想冒险卷入其中。固定搭配:risk doing sth.“冒险做某事”,且句子主语he和involve之间是一种被动关系,所以这里要用动名词一般式的被动式,故选C。。\n\n\n【题干】：_in voluntary work makes him feel happy and fulfilled. A. Participate B. Participated C. Participating D. Having participated\n【答案】：C\n【解析】：【详解】考查非谓语动词。句意:参与志愿工作使他感到快乐和满足。分析句子可知,句中缺少主语,故用动名词短语作主语。故选C。。\n\n\n【题干】：The doctor tried to _ me that my mother would be fine. A. whistle B. emerge C. reassure D. bend\n【答案】：C\n【解析】：【详解】考查动词词义辨析。句意:医生试图让我放心,我的母亲会好的。A. whistle吹口哨;B. emerge浮现;C. reassure使……安心;D. bend弯曲。故选C。。\n\n\n【题干】：New Zealand is home to around 16,000 bird _,double the number in all Europe. A. cures B. residents C. budgets D. species\n【答案】：D\n【解析】：【详解】考查名词词义辨析。句意:新西兰拥有大约16,000种鸟类,是欧洲总数的两倍。A. cures治疗;B. residents居民;C. budgets预算;D. species种类。故选D。。\n\n\n【题干】：Mr. Painter wanted to design a new system to _ the water in his garden in heavy rains. A. retreat B.\n######################\nOutput:'}
+15:54:00,346 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 。故C选项正确。。\n\n\n【题干】：Mary worked here as a _ secretary and ended up _ a full-time job with the company. A. admirable; getting B. temporary; getting C. previous; to get D. cautious; to get\n【答案】：B\n【解析】：【详解】考查形容词及固定搭配。A. admirable令人羡慕的;B. temporary临时的;C. previous先前的;D. cautious谨慎的。句意:玛丽作为一个临时秘书在这里工作,最终在这家公司得到一份全职工作。固定搭配:end up doing sth. “最终做某事”。故B选项正确。。\n\n\n【题干】：It was obvious that there was _ between accounts of the witnesses for the murder case, so the judgment was not announced in court. A. security B. relation C. conflict D. revision\n【答案】：C\n【解析】：【详解】考查名词辨析。A. security安全;B. relation关系;C. conflict冲突;D. revision复习。句意:很明显,谋杀案目击者的叙述有冲突,所以法庭没有宣布判决。故C选项正确。。\n\n\n【题干】：— Tom, what a pity! I almost succeeded yesterday. —_. I told you to be careful before. A. One tree does not make a forest B. Where there’s life, there’s hope C. One false step will make a great difference D. Never put off till tomorrow what you can do today\n【答案】：C\n【解析】：【详解】考查谚语辨析。A. One tree does not make a forest独木不成林;B. Where there’s life, there’s hope有生命就有希望;C. One false step will make a great difference失之毫厘,谬之千里;D. Never put off till tomorrow what\n######################\nOutput:'}
+15:54:00,370 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 读”。故选C。。\n\n\n【题干】：He has been sent to the place _ needs him most. A. where B. that C. what D. it\n【答案】：B\n【解析】：【详解】考查定语从句。句意:他已经被派到最需要他的地方了。本题定语从句的先行词是the place,定语从句中缺少主语,要用关系代词that指代先行词,引导定语从句并在句中做主语。CD项不能引导定语从句,where要在句中做状语。故B项正确。【点睛】本题考查了关系代词that的用法,that是比较常见的关系代词,并且有的时候是只能用that。接下来就看看时候只用that的情况。 1当先行词是anything,everything,nothing,few,all,alone,little,some等指人或物的代词时。或者是有诸如every,any,all,no,much等词修饰时。 There seems to be nothing that can help you. 似乎没有任何事可以帮你。(nothing 出现) B. All that can be applied in the research have been rejected. 所有能被运用于研究的都被否决了。(all的出现) 2 当先行词既有人也有事物。 A. The talked the people and things in the bar that they remember. 他们谈论着他们记起的酒吧的人和事。(人和物的出现) 3 有形容词最高级修饰先行词时。 This is the best hotel in the city that I know. 这是我所知道的城市里最好的旅馆。(best 为最高级) 4.序数词修饰先行词时。 The first time that they meet together\n######################\nOutput:'}
+15:54:00,399 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: sicker\n【答案】：A\n【解析】：【详解】考查比较级。句意:昨天她的病变得越来越严重了,我们别无选择只能送她去了最近的医院。sicker本身是比较级形式,其前不可再加more或less,排除C、D两项;表示程度不断加深要用"比较级+and+比较级"结构,故选A。。\n\n\n【题干】：As a great scientist, little joy can equal_ of being awarded the Nobel Prize. A. that B. this C. it D. one\n【答案】：A\n【解析】：【详解】考查代词。句意:作为一个伟大的科学家,任何喜悦都赶不上获得诺贝尔奖。空处指代"获得诺贝尔奖的喜悦",与前面的"joy"相比是同类不同物,应使用that代替。。\n\n\n【题干】：For Lucy, the most necessary thing is to find a suitable job, _ in which she can earn her living and fulfill her potential. A. that B. it C. the one D. one\n【答案】：D\n【解析】：【详解】考查替代。句意:对Lucy来说,当务之急是找到一份合适的工作,一份能够让她谋生并发挥潜力的工作。这里one指代a suitable job,在句中作a suitable job的同位语。故答案为D。。\n\n\n【题干】：We find _easy to get along with our new teachers here. A. that B. it C. this D. 不填\n【答案】：B\n【解析】：【详解】考查代词it的用法。句意:我们发现与我们这里的新老师相处很容易。此处\n######################\nOutput:'}
+15:54:00,411 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 【题干】：-Madam, if you like I can give you a lift to the downtown area. - That’s a very kind _. A. service B. offer C. promise D. choice\n【答案】：B\n【解析】：【详解】名词辨析。A. service服务; B. offer提议; C. promise许诺; D. choice选择。句意:—夫人,如果您愿意,我可以载您到市中心。—这是一个非常好的提议。结合句意可知答案为B。。\n\n\n【题干】：- Have you ever been to Provence which is home to lavender(薰衣草) in Paris? - Yes, only once. I _ there for a week. A. had stayed B. were staying C. have stayed D. stayed\n【答案】：D\n【解析】：【详解】考查时态。句意:—你去过巴黎薰衣草的故乡普罗旺斯吗?—是的,只有一次。我在那里呆了一个星期。此处是指过去发生的一件事,与现在无关,所以用一般过去时态,故答案为D。。\n\n\n【题干】：Due to the frequent school shootings, the only way the president could imagine _ such tragedies was to ban guns across the US. A. preventing B. prevented C. to prevent D. having prevented\n【答案】：C\n【解析】：【详解】考查动词不定式作后置定语。句意:由于校园枪击案频发,总统能想到的防止此类悲剧发生的唯一办法就是在全美范围内禁止枪支。此处是动词不定式作后置定语,故选C。。\n\n\n【题干】：My computer _ start this morning. There must have been something wrong with it. A. wouldn’t B. shouldn’t C. couldn’t D.\n######################\nOutput:'}
+15:54:00,413 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: +其他-。由此可知A项正确。【点睛】浅谈强调句 1. 用It is/was...that/who...句型表示强调。 (1)陈述句的强调句型:It is/was+被强调部分(通常是主语、宾语或状语)+that/who(当强调主语且主语指人)+其它部分。 e.g. It was yesterday that he met Li Ping. (2)一般疑问句的强调句型:同上,只是把is/was提到it前面。 e.g. Was it yesterday that he met Li Ping? (3)特殊疑问句的强调句型:被强调部分(通常是疑问代词或疑问副词)+is/was+it+that/who+其它部分?e.g. When and where was it that you were born? 2. not...until...句型的强调句: 句型为:It is/was not until+被强调部分+that+其它部分: e.g. 普通句:He didn\'t go to bed until/till his wife came back. 强调句:It was not until his wife came back that he went to bed. 注意:此句型只用until,不用till。但如果不是强调句型,till, until可通用; 因为句型中It is/was not...已经是否定句了,that后面的从句要用肯定句,切勿再用否定句了。 3. 强调谓语动词:用助动词do, does或did加动词原形来强调谓语动词。注意:此种强调只用do/does和did,没有别的形式;过去时态用did,后面的谓语动词用原形。如:Do come early. 务必\n######################\nOutput:'}
+15:54:00,445 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: �原形来强调谓语动词。注意:此种强调只用do/does和did,没有别的形式;过去时态用did,后面的谓语动词用原形。如:Do come early. 务必早来。He did send you a letter last week. 昨天他确实寄给你一封信。。\n\n\n【题干】：Spelling Bee is a contest _ competitors, usually children, are asked to spell as many words as possible. A. which B. when C. what D. where\n【答案】：D\n【解析】：【详解】考查定语从句。句意:拼字比赛是要求参赛者,通常是孩子,拼出尽可能多的单词的比赛。此处a contest是先行词,在后面的定语从句中作地点状语,故答案为D。【点睛】分析定语从句关键抓住两点:第一、找准先行词;第二、看先行词在定语从句中所作的成分。先行词往往为名词或代词,如本题中先行词为名词a contest,再分析先行词a contest在定语从句中所作的成分,将先行词a contest带到从句中可知,只能作地点状语,故确定关系词where。。\n\n\n【题干】：He kept silent over the matter because he had no intention to risk _ in it. A. to involve B. involving C. being involved D. to be involved\n【答案】：C\n【解析】：【详解】考查非谓语动词。句意:他对这件事保持沉默,因为他不想冒险卷入其中。固定搭配:risk doing sth.“冒险做某事”,且句子主语he和involve之间\n######################\nOutput:'}
+15:54:00,447 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: . cures治疗;B. residents居民;C. budgets预算;D. species种类。故选D。。\n\n\n【题干】：Mr. Painter wanted to design a new system to _ the water in his garden in heavy rains. A. retreat B. drain C. tremble D. shrink\n【答案】：B\n【解析】：【详解】考查动词词义辨析。句意:Painter先生想设计一种新的系统,在下大雨时来给他的花园里排水。A. retreat撤退;B. drain排出;C. tremble发抖;D. shrink退缩。故选B。。\n\n\n【题干】：The family wrote a letter to the organization to express their _ for help. A. faith B. appeal C. relief D. sight\n【答案】：B\n【解析】：【详解】考查名词词义辨析。句意:这家人写了一封信给该组织表达他们需要援助的恳求。A. faith信仰;B. appeal恳求;C. relief减轻;D. sight视力。故选B。。\n\n\n【题干】：Winning this game is _ to the team, for the result will decide whether it can defend its championship. A. contemporary B. crucial C. complicated D. constant\n【答案】：B\n【解析】：【详解】考查形容词词义辨析。句意:赢得这场比赛对球队至关重要,因为结果将决定它能否卫冕冠军。A. contemporary当代的;B. crucial决定性的;C. complicated复杂难懂的;D. constant经常的。故选B。。\n\n\n【题干】：I can’t stay out overnight without my parents’_. A. obedience B. privacy C. affection D. approval\n【答案】：D\n【解析】：【详解】考查名词词义辨析。�\n######################\nOutput:'}
+15:54:00,500 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: �拟语气。句意:我多么希望我没有去修理那块表!我只让事情变得更糟了。动词wish后接宾语从句时,从句谓语要用虚拟语气若表示与过去相反的愿望,从句谓语用过去完成时。根据句意以及“made”可知,B选项正确。【点睛】wish后宾语从句用虚拟语气 动词wish后接宾语从句时,从句谓语要用虚拟语气。1.若要表示与现在事实相反的愿望,从句谓语用一般过去时;2.若表示与过去相反的愿望,从句谓语用过去完成时;3.若表示将来没有把握或不太可能实现的愿望,用would (could)+动词原形。本句符合第2点用法,故B选项正确。。\n\n\n【题干】：In recent years, in many Western countries, in the USA and the UK, Halloween has become a special occasion. A. in general B. in brief C. in short D. in particular\n【答案】：D\n【解析】：【详解】考查介词短语辨析。A. in general意为"总的说来,通常";B. in brief意为"简言之";C. in short意为"总之,简而言之";D. in particular意为"尤其,特别"。句意:近年来,在许多西方国家,尤其是在美国和英国,万圣节前夕已经成为一种特殊的场合。故D选项正确。。\n\n\n【题干】：When faced with challenges, firmly believe that holding on to your dreams and doubling your efforts will _ lead to success. A. deliberately B. eventually C. automatically D.\n######################\nOutput:'}
+15:57:01,837 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: the world use for power when it has _ oil? A. given out of B. given out C. run out of D. run out\n【答案】：C\n【解析】：【详解】考查动词短语。句意:当石油枯竭的时候,全世界将会用什么作为能源呢。(1)run out of意为“用完了”,是及物短语,表示主动意义,主语一般是人。 (2)run out意为“用完”,是不及物短语,其主语通常为时间、食物、金钱等名词。3)give out用尽,精疲力竭,为不及物短语。故C选项正确。。\n\n\n【题干】：I did not see your sister at the meeting. If she , she would have met my brother A. has come B. did come C. come D. had come\n【答案】：D\n【解析】：【详解】考查虚拟语气。句意:我没有在会上见到你妹妹。如果她来了,她会遇见我哥哥的。if 引导的虚拟条件句,与过去事实相反的假设。主句谓语动词形式would/could/might/should have done,条件从句的谓语动词形式had done。故D选项正确。【点睛】If 引导的虚拟条件句 条件从句的谓语动词形式 主句谓语动词形式 与过去事实相反的假设 had done would/could/might/should have done 与现在事实相反的假设 过去时(was→were) would/could/might/should do 与将来事实相反的假设 过去时 (was→were ) ; should do; were to do would/could/might/should do 本句表示与\n######################\nOutput:'}
+15:57:01,839 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:01,844 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': 'the world use for power when it has _ oil? A. given out of B. given out C. run out of D. run out\n【答案】：C\n【解析】：【详解】考查动词短语。句意:当石油枯竭的时候,全世界将会用什么作为能源呢。(1)run out of意为“用完了”,是及物短语,表示主动意义,主语一般是人。 (2)run out意为“用完”,是不及物短语,其主语通常为时间、食物、金钱等名词。3)give out用尽,精疲力竭,为不及物短语。故C选项正确。。\n\n\n【题干】：I did not see your sister at the meeting. If she , she would have met my brother A. has come B. did come C. come D. had come\n【答案】：D\n【解析】：【详解】考查虚拟语气。句意:我没有在会上见到你妹妹。如果她来了,她会遇见我哥哥的。if 引导的虚拟条件句,与过去事实相反的假设。主句谓语动词形式would/could/might/should have done,条件从句的谓语动词形式had done。故D选项正确。【点睛】If 引导的虚拟条件句 条件从句的谓语动词形式 主句谓语动词形式 与过去事实相反的假设 had done would/could/might/should have done 与现在事实相反的假设 过去时(was→were) would/could/might/should do 与将来事实相反的假设 过去时 (was→were ) ; should do; were to do would/could/might/should do 本句表示与'}
+15:57:01,899 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 禁止枪支。此处是动词不定式作后置定语,故选C。。\n\n\n【题干】：My computer _ start this morning. There must have been something wrong with it. A. wouldn’t B. shouldn’t C. couldn’t D. mustn’t\n【答案】：A\n【解析】：【详解】考查情态动词。句意:我的电脑今早启动不了。一定是出了什么问题。A. wouldn’t 不会; B. shouldn’t不应该; C. couldn’t 不能; D. mustn’t禁止,不允许。此处would表示过去的习惯或反复性的动作。故选A。。\n\n\n【题干】：- Come on, Henry. You can also enjoy as healthy a life as I _ if you can… - Are you advising me to run every morning? A. will live B. lived C. am living D. had lived\n【答案】：C\n【解析】：【详解】考查时态。句意:—快点,亨利。你也可以像我一样享受健康的生活,如果你可以……。—你是建议我每天早上跑步吗?结合句意可知此处用现在进行时态,故答案为C。。\n\n\n【题干】：It was at midnight _ we arrived at the airport, resulting from the heavy fog. A. that B. before C. since D. now that\n【答案】：A\n【解析】：【详解】考查强调句式。句意:由于大雾,我们是在午夜到达机场的。此处时强调句式,强调时间状语,It is +强调部分+that+其他-。由此可知A项正确。【点睛】浅谈强调句 1. 用It is/was...that/who...句型表示强调。 (1)陈述句的强调句型:\n######################\nOutput:'}
+15:57:01,900 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:01,901 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': '禁止枪支。此处是动词不定式作后置定语,故选C。。\n\n\n【题干】：My computer _ start this morning. There must have been something wrong with it. A. wouldn’t B. shouldn’t C. couldn’t D. mustn’t\n【答案】：A\n【解析】：【详解】考查情态动词。句意:我的电脑今早启动不了。一定是出了什么问题。A. wouldn’t 不会; B. shouldn’t不应该; C. couldn’t 不能; D. mustn’t禁止,不允许。此处would表示过去的习惯或反复性的动作。故选A。。\n\n\n【题干】：- Come on, Henry. You can also enjoy as healthy a life as I _ if you can… - Are you advising me to run every morning? A. will live B. lived C. am living D. had lived\n【答案】：C\n【解析】：【详解】考查时态。句意:—快点,亨利。你也可以像我一样享受健康的生活,如果你可以……。—你是建议我每天早上跑步吗?结合句意可知此处用现在进行时态,故答案为C。。\n\n\n【题干】：It was at midnight _ we arrived at the airport, resulting from the heavy fog. A. that B. before C. since D. now that\n【答案】：A\n【解析】：【详解】考查强调句式。句意:由于大雾,我们是在午夜到达机场的。此处时强调句式,强调时间状语,It is +强调部分+that+其他-。由此可知A项正确。【点睛】浅谈强调句 1. 用It is/was...that/who...句型表示强调。 (1)陈述句的强调句型:'}
+15:57:01,948 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: that B. it C. this D. 不填\n【答案】：B\n【解析】：【详解】考查代词it的用法。句意:我们发现与我们这里的新老师相处很容易。此处it作形式宾语,而真正的宾语为后面的不定式结构to get along with our new teachers here。故选B。。\n\n\n【题干】：_ all of them are strong candidates, only one will be chosen for the post. A. Since B. While C. Once D. As\n【答案】：B\n【解析】：【详解】考查状语从句连词。句意:尽管他们都是强有力的候选人,但只有一个人可以被选中担任这个职位。连词while意为“当……时;尽管;然而;”本句中表示“尽管”,引导让步状语从句。故B项正确。【点睛】本题考查了while的用法,在英语的从句里连词while的用法是比较复杂的。 一、while作为并列连词,意思为“而,然而”,表前后意义上的对比或转折。 例如:There’s plenty of rain in the southeast, while there\'s little in the northeast. 东南部雨量充足,而西北部则很少下雨。 Some people waste food while others haven\'t enough. 有些人浪费粮食,然而有些人却吃不饱。 二、另外while还有别的用法,while引导状语从句,有以下两种含义: 1.表示某个动作正在进行的同时,另一动作也在进行之中,这时主从句都用进行时态,有对同类的两个动作进行对比的意味.如: While I was playing the piano, she was dancing.我在弹�\n######################\nOutput:'}
+15:57:01,948 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:01,950 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': "that B. it C. this D. 不填\n【答案】：B\n【解析】：【详解】考查代词it的用法。句意:我们发现与我们这里的新老师相处很容易。此处it作形式宾语,而真正的宾语为后面的不定式结构to get along with our new teachers here。故选B。。\n\n\n【题干】：_ all of them are strong candidates, only one will be chosen for the post. A. Since B. While C. Once D. As\n【答案】：B\n【解析】：【详解】考查状语从句连词。句意:尽管他们都是强有力的候选人,但只有一个人可以被选中担任这个职位。连词while意为“当……时;尽管;然而;”本句中表示“尽管”,引导让步状语从句。故B项正确。【点睛】本题考查了while的用法,在英语的从句里连词while的用法是比较复杂的。 一、while作为并列连词,意思为“而,然而”,表前后意义上的对比或转折。 例如:There’s plenty of rain in the southeast, while there's little in the northeast. 东南部雨量充足,而西北部则很少下雨。 Some people waste food while others haven't enough. 有些人浪费粮食,然而有些人却吃不饱。 二、另外while还有别的用法,while引导状语从句,有以下两种含义: 1.表示某个动作正在进行的同时,另一动作也在进行之中,这时主从句都用进行时态,有对同类的两个动作进行对比的意味.如: While I was playing the piano, she was dancing.我在弹�"}
+15:57:02,78 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: of the bench but she couldn\'t read the inscription from this distance. A. secured on B. tangled in C. applied to D. attached to\n【答案】：D\n【解析】：【详解】考查动词词组辨析。A. secured on保证;B. tangled in纠缠;C. applied to申请;D. attached to附属于。句意:长凳顶上挂着一块牌匾,但她隔着这么远看不清上面的铭文。故D选项正确。。\n\n\n【题干】：Instead the ground was made of a sand-like substance, and as far as she could _ there was nothing but low huts and large square buildings dotted around and one or two smoke stacks in the distance. A. make sense B. make out C. make the best D. make it clear\n【答案】：B\n【解析】：【详解】考查动词词组辨析。A. make sense说得通;B. make out辨认出;C. make the best尽力而为;D. make it clear明确表明。句意:相反,地面是用沙子一样的东西铺成的,在她所能看到的范围内,除了低矮的小屋和四四方方的大楼房外,什么也没有,远处还有一两个烟囱。故B选项正确。【点睛】动词固定短语辨析是单项选择和完形填空中常考考点,需要大家注意积累。例如make的一些词组: make sure that确信;证实 make up 弥补;组成;化妆;整理 make full use of 充分利用 make up for 补偿,弥补 make a difference 有影响,有关系 make good use of 充分利用;很好地使用 make out 理解;辨认出;说明;填写;设法应付\n######################\nOutput:'}
+15:57:02,79 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:02,81 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': "of the bench but she couldn't read the inscription from this distance. A. secured on B. tangled in C. applied to D. attached to\n【答案】：D\n【解析】：【详解】考查动词词组辨析。A. secured on保证;B. tangled in纠缠;C. applied to申请;D. attached to附属于。句意:长凳顶上挂着一块牌匾,但她隔着这么远看不清上面的铭文。故D选项正确。。\n\n\n【题干】：Instead the ground was made of a sand-like substance, and as far as she could _ there was nothing but low huts and large square buildings dotted around and one or two smoke stacks in the distance. A. make sense B. make out C. make the best D. make it clear\n【答案】：B\n【解析】：【详解】考查动词词组辨析。A. make sense说得通;B. make out辨认出;C. make the best尽力而为;D. make it clear明确表明。句意:相反,地面是用沙子一样的东西铺成的,在她所能看到的范围内,除了低矮的小屋和四四方方的大楼房外,什么也没有,远处还有一两个烟囱。故B选项正确。【点睛】动词固定短语辨析是单项选择和完形填空中常考考点,需要大家注意积累。例如make的一些词组: make sure that确信;证实 make up 弥补;组成;化妆;整理 make full use of 充分利用 make up for 补偿,弥补 make a difference 有影响,有关系 make good use of 充分利用;很好地使用 make out 理解;辨认出;说明;填写;设法应付"}
+15:57:02,82 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: D. told\n【答案】：D\n【解析】：【详解】考查过去分词作状语。句意:尽管被告知有危险,布朗先生仍然冒着生命危险去救火灾中的男孩。此处句子主语Mr. Brown和tell之间是一种被动关系,与连词Though一起引导作让步状语,故选D。。\n\n\n【题干】：He sold this car for only 2000 dollars, so the buyer got a wonderful_. A. cost B. worth C. value D. bargain\n【答案】：D\n【解析】：【详解】考查名词。A. cost费用; B. worth价值,财产; C. value价值; D. bargain交易,便宜货。句意:他以二千美元的价格把这辆车卖了,买主买得很便宜。结合句意可知答案为D。。\n\n\n【题干】：The observer’s statement about the accident was very ; we know almost everything about it now. A. specific B. especial C. particular D. special\n【答案】：A\n【解析】：【详解】考查形容词辨析。句意:旁观者关于事故的陈述非常具体;我们现在几乎对它了如指掌。A. specific 具体的; B. especial尤其的; C. particular特殊的; D. special非一般的。由“ everything ”可知,旁观者关于事故的陈述非常具体。故A选项正确。。\n\n\n【题干】：What will the world use for power when it has _ oil? A. given out of B. given out C. run out of D. run out\n【答案】：C\n【解析】：【详解】考查动词短语。句意:当石\n######################\nOutput:'}
+15:57:02,82 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:02,83 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': 'D. told\n【答案】：D\n【解析】：【详解】考查过去分词作状语。句意:尽管被告知有危险,布朗先生仍然冒着生命危险去救火灾中的男孩。此处句子主语Mr. Brown和tell之间是一种被动关系,与连词Though一起引导作让步状语,故选D。。\n\n\n【题干】：He sold this car for only 2000 dollars, so the buyer got a wonderful_. A. cost B. worth C. value D. bargain\n【答案】：D\n【解析】：【详解】考查名词。A. cost费用; B. worth价值,财产; C. value价值; D. bargain交易,便宜货。句意:他以二千美元的价格把这辆车卖了,买主买得很便宜。结合句意可知答案为D。。\n\n\n【题干】：The observer’s statement about the accident was very ; we know almost everything about it now. A. specific B. especial C. particular D. special\n【答案】：A\n【解析】：【详解】考查形容词辨析。句意:旁观者关于事故的陈述非常具体;我们现在几乎对它了如指掌。A. specific 具体的; B. especial尤其的; C. particular特殊的; D. special非一般的。由“ everything ”可知,旁观者关于事故的陈述非常具体。故A选项正确。。\n\n\n【题干】：What will the world use for power when it has _ oil? A. given out of B. given out C. run out of D. run out\n【答案】：C\n【解析】：【详解】考查动词短语。句意:当石'}
+15:57:02,93 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 【解析】：【详解】考查现在完成进行时态。句意:嘿,你整天都坐在电脑前。你现在真的应该休息一下。结合句意可知句子用现在完成进行时态,故选A。。\n\n\n【题干】：Over the last three decades, the number of people participating in physical fitness programs _ sharply. A. was increasing B. has increased C. had increased D. will be increasing\n【答案】：B\n【解析】：【详解】考查时态。句意:在过去的三十年里,参加健身计划的人数急剧增加。Over the last three decades“在最近的30年里”和现在完成时态连用,故选B。。\n\n\n【题干】：Well, if Father’s job means that we have to move away from our house and the sliding banister and my three best friends for life, then I think Father should _ about his job, don’t you? A. have big things in mind B. let the matters drop C. stretch out D. think twice\n【答案】：D\n【解析】：【详解】考查动词词组辨析。A. have big things in mind胸怀大志;B. let the matters drop让事情过去吧;C. stretch out展开;D. think twice三思而后行。句意:好吧,如果父亲的工作意味着我们必须离开我们的房子、滑动的楼梯扶手和我的三个最好的朋友,那么我认为父亲应该三思而后行,不是吗?故D选项正确。。\n\n\n【题干】：There was a plaque _ the top of the bench but she couldn\'t read the inscription from this distance. A. secured on B. tangled in C. applied to D. attached to\n【答案】：D\n【解析】：【详解】考查动词词组辨析。A. secured on\n######################\nOutput:'}
+15:57:02,93 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:02,94 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': "【解析】：【详解】考查现在完成进行时态。句意:嘿,你整天都坐在电脑前。你现在真的应该休息一下。结合句意可知句子用现在完成进行时态,故选A。。\n\n\n【题干】：Over the last three decades, the number of people participating in physical fitness programs _ sharply. A. was increasing B. has increased C. had increased D. will be increasing\n【答案】：B\n【解析】：【详解】考查时态。句意:在过去的三十年里,参加健身计划的人数急剧增加。Over the last three decades“在最近的30年里”和现在完成时态连用,故选B。。\n\n\n【题干】：Well, if Father’s job means that we have to move away from our house and the sliding banister and my three best friends for life, then I think Father should _ about his job, don’t you? A. have big things in mind B. let the matters drop C. stretch out D. think twice\n【答案】：D\n【解析】：【详解】考查动词词组辨析。A. have big things in mind胸怀大志;B. let the matters drop让事情过去吧;C. stretch out展开;D. think twice三思而后行。句意:好吧,如果父亲的工作意味着我们必须离开我们的房子、滑动的楼梯扶手和我的三个最好的朋友,那么我认为父亲应该三思而后行,不是吗?故D选项正确。。\n\n\n【题干】：There was a plaque _ the top of the bench but she couldn't read the inscription from this distance. A. secured on B. tangled in C. applied to D. attached to\n【答案】：D\n【解析】：【详解】考查动词词组辨析。A. secured on"}
+15:57:02,164 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: make a forest独木不成林;B. Where there’s life, there’s hope有生命就有希望;C. One false step will make a great difference失之毫厘,谬之千里;D. Never put off till tomorrow what you can do today今日事,今日毕。由语境I told you to be careful before.可知,答案为C。故C选项正确。.。\n\n\n【题干】：Much to my _, my vocabulary has expanded a great deal. A. delighting B. delighted C. delight\n【答案】：C\n【解析】：【详解】考查固定用法。句意:令我高兴的是,我的词汇量大大增加了。“much to +名词”为固定用法,意为“使某人……”,因此本小题要用名词形式。分析选项:delighting 感到高兴的,一般修饰物;delighted高兴的; 欣喜的,一般修饰人;delight快乐,高兴。由选项可知,A与B都是形容词,只有C是名词,符合题意,故选C。。\n\n\n【题干】：The book _ through the air to Aunt Dede and she began to read it aloud. A. got B. pushed C. sailed\n【答案】：C\n【解析】：【详解】考查动词辨析。got得到;pushed推;sailed掠,飘,浮游。分析语境可知,本句是指“那本书在空中传到(飘向)黛德姑妈那,她(拿过书)开始大声朗读”。故选C。。\n\n\n【题干】：He has been sent to the place _ needs him most. A. where B. that C. what D. it\n【答案】：B\n【解析】：【详解】考查定语从句。\n######################\nOutput:'}
+15:57:02,164 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:02,165 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': 'make a forest独木不成林;B. Where there’s life, there’s hope有生命就有希望;C. One false step will make a great difference失之毫厘,谬之千里;D. Never put off till tomorrow what you can do today今日事,今日毕。由语境I told you to be careful before.可知,答案为C。故C选项正确。.。\n\n\n【题干】：Much to my _, my vocabulary has expanded a great deal. A. delighting B. delighted C. delight\n【答案】：C\n【解析】：【详解】考查固定用法。句意:令我高兴的是,我的词汇量大大增加了。“much to +名词”为固定用法,意为“使某人……”,因此本小题要用名词形式。分析选项:delighting 感到高兴的,一般修饰物;delighted高兴的; 欣喜的,一般修饰人;delight快乐,高兴。由选项可知,A与B都是形容词,只有C是名词,符合题意,故选C。。\n\n\n【题干】：The book _ through the air to Aunt Dede and she began to read it aloud. A. got B. pushed C. sailed\n【答案】：C\n【解析】：【详解】考查动词辨析。got得到;pushed推;sailed掠,飘,浮游。分析语境可知,本句是指“那本书在空中传到(飘向)黛德姑妈那,她(拿过书)开始大声朗读”。故选C。。\n\n\n【题干】：He has been sent to the place _ needs him most. A. where B. that C. what D. it\n【答案】：B\n【解析】：【详解】考查定语从句。'}
+15:57:02,168 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: ”,是一个介词短语,在句中经常起连词作用,引导时间状语从句。它的主要用法如下: 1. 如果从句中的谓语动词是一般过去时,那么主句中的谓语动词通常用过去完成时,表示“截止到从句动作发生时,主句动作已经完成,即过去的过去”。 2. 如果从句中的谓语动词为一般现在时(表示将来),那么主句中的谓语动词常为将来完成时,表示“截止到将来某一时间为止,主句动作将已经完成”。 3. 如果主句动作不强调已经完成,只是说明过去某个时候的状况,此时主句不用完成时,而应根据实际需要选用适当的时态,此时by the time相当于when。 本句符合第一点用法,故D选项正确。。\n\n\n【题干】：It was the middle of the night _ my father woke me up and told me to watch the football game. A. that B. when C. since D. which\n【答案】：B\n【解析】：【详解】考查连词。句意:那是半夜,父亲把我叫醒,叫我看足球赛。本句是when引导的时间状语从句,故B选项正确。本句不是强调句,如果把It was去掉,句子并不成立,the middle of the night前缺少介词。。\n\n\n【题干】：-Madam, if you like I can give you a lift to the downtown area. - That’s a very kind _. A. service B. offer C. promise D. choice\n【答案】：B\n【解析】：【详解】名词\n######################\nOutput:'}
+15:57:02,169 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:02,169 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': '”,是一个介词短语,在句中经常起连词作用,引导时间状语从句。它的主要用法如下: 1. 如果从句中的谓语动词是一般过去时,那么主句中的谓语动词通常用过去完成时,表示“截止到从句动作发生时,主句动作已经完成,即过去的过去”。 2. 如果从句中的谓语动词为一般现在时(表示将来),那么主句中的谓语动词常为将来完成时,表示“截止到将来某一时间为止,主句动作将已经完成”。 3. 如果主句动作不强调已经完成,只是说明过去某个时候的状况,此时主句不用完成时,而应根据实际需要选用适当的时态,此时by the time相当于when。 本句符合第一点用法,故D选项正确。。\n\n\n【题干】：It was the middle of the night _ my father woke me up and told me to watch the football game. A. that B. when C. since D. which\n【答案】：B\n【解析】：【详解】考查连词。句意:那是半夜,父亲把我叫醒,叫我看足球赛。本句是when引导的时间状语从句,故B选项正确。本句不是强调句,如果把It was去掉,句子并不成立,the middle of the night前缺少介词。。\n\n\n【题干】：-Madam, if you like I can give you a lift to the downtown area. - That’s a very kind _. A. service B. offer C. promise D. choice\n【答案】：B\n【解析】：【详解】名词'}
+15:57:02,185 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: �分利用 make up for 补偿,弥补 make a difference 有影响,有关系 make good use of 充分利用;很好地使用 make out 理解;辨认出;说明;填写;设法应付 make for 导致;有助于;走向 make it possible 使它变成可能 make a living 谋生,维持生活 make decision 作决定;下决心。\n\n\n【题干】：She just got on with her job, _ the furniture, washing the clothes, helping with the shopping and the cooking, sometimes taking him to school and collecting him again, although that had been more common when Bruno was eight; when he turned nine he decided he was old enough to make his way- there and home alone. A. polishing B. discarding C. resisting D. irritating\n【答案】：A\n【解析】：【详解】考查动词辨析。A. polishing抛光;B. discarding丢弃;C. resisting抵制;D. irritating刺激。句意:她只是继续她的工作,擦亮家具、洗衣服、帮忙买东西和做饭,有时带他去学校、再接他,尽管在布鲁诺8岁的时候这种情况更常见;当他九岁的时候,他觉得自己已经足够大了,可以自己走自己的路了——去那里,然后独自回家。故A选项正确。。\n\n\n【题干】：Though _ of the danger, Mr. Brown still risked his life to save the boy in the fire. A. having told B. being told C. to be told D. told\n【答案】：D\n【解析】：【详解】考查过去分词作状语。句意:尽管被告知有危险,布朗先生仍然冒着生命\n######################\nOutput:'}
+15:57:02,185 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:02,186 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': '�分利用 make up for 补偿,弥补 make a difference 有影响,有关系 make good use of 充分利用;很好地使用 make out 理解;辨认出;说明;填写;设法应付 make for 导致;有助于;走向 make it possible 使它变成可能 make a living 谋生,维持生活 make decision 作决定;下决心。\n\n\n【题干】：She just got on with her job, _ the furniture, washing the clothes, helping with the shopping and the cooking, sometimes taking him to school and collecting him again, although that had been more common when Bruno was eight; when he turned nine he decided he was old enough to make his way- there and home alone. A. polishing B. discarding C. resisting D. irritating\n【答案】：A\n【解析】：【详解】考查动词辨析。A. polishing抛光;B. discarding丢弃;C. resisting抵制;D. irritating刺激。句意:她只是继续她的工作,擦亮家具、洗衣服、帮忙买东西和做饭,有时带他去学校、再接他,尽管在布鲁诺8岁的时候这种情况更常见;当他九岁的时候,他觉得自己已经足够大了,可以自己走自己的路了——去那里,然后独自回家。故A选项正确。。\n\n\n【题干】：Though _ of the danger, Mr. Brown still risked his life to save the boy in the fire. A. having told B. being told C. to be told D. told\n【答案】：D\n【解析】：【详解】考查过去分词作状语。句意:尽管被告知有危险,布朗先生仍然冒着生命'}
+15:57:02,317 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: �B项正确。【点睛】本题考查了同位语从句,同位语是对前面的名词的解释说明,当同位语部分是个句子的时候,就是同位语从句,这种用法比较"固定" 一、在复合句中用作同位语的从句叫同位语从句。它一般跟在某些名词后面,用以说明该名词表示的具体内容。 I heard the news that our team had won. 我听到了我们队获胜的消息。 二、可以跟同位语从句的名词通常有news,idea,fact,promise,question,doubt,thought,hope,message,suggestion,words(消息),possibility, decision等(一般的“抽象”名词都可用)。 I’ve come from Mr. wang with a message that he won’t be able to see you this afternoon. 我从王先生那里来,他让我告诉你他今天下午不能来看你了。 三、英语中引导同位语从句的词通常有连词that,whether,连接代词what,who。连接副词how, when, where等。(注:if不能引导同位语从句。) He must answer the question whether he agrees with it or not. 他必须回答他是否同意这样一个问题。 四、有时同位语从句可以不紧跟在说明的名词后面,而被别的词隔开。 The thought came to him that maybe the enemy had fled the city. 他突然想起敌人可能已经逃出城了。。\n\n\n【题干】：The drought had lasted several months and it made farmers _ about the harvest. A. astonished B. anxious C. eager D. busy\n【答案】：B\n【解析】：【详解】考查形容词辨析。句意:干旱已经持续\n######################\nOutput:'}
+15:57:02,317 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:02,319 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': '�B项正确。【点睛】本题考查了同位语从句,同位语是对前面的名词的解释说明,当同位语部分是个句子的时候,就是同位语从句,这种用法比较"固定" 一、在复合句中用作同位语的从句叫同位语从句。它一般跟在某些名词后面,用以说明该名词表示的具体内容。 I heard the news that our team had won. 我听到了我们队获胜的消息。 二、可以跟同位语从句的名词通常有news,idea,fact,promise,question,doubt,thought,hope,message,suggestion,words(消息),possibility, decision等(一般的“抽象”名词都可用)。 I’ve come from Mr. wang with a message that he won’t be able to see you this afternoon. 我从王先生那里来,他让我告诉你他今天下午不能来看你了。 三、英语中引导同位语从句的词通常有连词that,whether,连接代词what,who。连接副词how, when, where等。(注:if不能引导同位语从句。) He must answer the question whether he agrees with it or not. 他必须回答他是否同意这样一个问题。 四、有时同位语从句可以不紧跟在说明的名词后面,而被别的词隔开。 The thought came to him that maybe the enemy had fled the city. 他突然想起敌人可能已经逃出城了。。\n\n\n【题干】：The drought had lasted several months and it made farmers _ about the harvest. A. astonished B. anxious C. eager D. busy\n【答案】：B\n【解析】：【详解】考查形容词辨析。句意:干旱已经持续'}
+15:57:02,340 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 时。 This is the best hotel in the city that I know. 这是我所知道的城市里最好的旅馆。(best 为最高级) 4.序数词修饰先行词时。 The first time that they meet together was yesterday. 他们第一次遇见是在昨天。(first 的出现) 5当the only,the very出现时。 Before he falls in love Amanda, the only thing that he cared is himself. 在他爱上Amanda之前,他唯一在意的是他自己。。\n\n\n【题干】：We were _ on our way to the airport because of the heavy snow. A. held up B. held out C. held back D. held with\n【答案】：A\n【解析】：【详解】考查动词短语辨析。A. held up举起,支撑;阻挡;延误;B. held out伸出,坚持;C. held back阻碍,隐藏,克制;D. held with赞成;句意:因为大雪,我们被延误在去机场的路上。根据句意可知A项正确。。\n\n\n【题干】：There is little doubt _ the Internet is a great inventionin human history. A. whether B. that C. which D. what\n【答案】：B\n【解析】：【详解】考查同位语从句。句意:毫无疑问,在人类历史上因特网是一项伟大的发明。句中同位语从句that the Internet is a great invention in human history对名词短语little doubt进行解释说明,that在句中不充当任何成分,只是一个引导词。故B项正确。【点睛】本题考查了同位语从句,同位语是对前面的名词的解释说明,当同位语部分是个句子的时候,就是同位语从句,这\n######################\nOutput:'}
+15:57:02,340 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:02,341 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': '时。 This is the best hotel in the city that I know. 这是我所知道的城市里最好的旅馆。(best 为最高级) 4.序数词修饰先行词时。 The first time that they meet together was yesterday. 他们第一次遇见是在昨天。(first 的出现) 5当the only,the very出现时。 Before he falls in love Amanda, the only thing that he cared is himself. 在他爱上Amanda之前,他唯一在意的是他自己。。\n\n\n【题干】：We were _ on our way to the airport because of the heavy snow. A. held up B. held out C. held back D. held with\n【答案】：A\n【解析】：【详解】考查动词短语辨析。A. held up举起,支撑;阻挡;延误;B. held out伸出,坚持;C. held back阻碍,隐藏,克制;D. held with赞成;句意:因为大雪,我们被延误在去机场的路上。根据句意可知A项正确。。\n\n\n【题干】：There is little doubt _ the Internet is a great inventionin human history. A. whether B. that C. which D. what\n【答案】：B\n【解析】：【详解】考查同位语从句。句意:毫无疑问,在人类历史上因特网是一项伟大的发明。句中同位语从句that the Internet is a great invention in human history对名词短语little doubt进行解释说明,that在句中不充当任何成分,只是一个引导词。故B项正确。【点睛】本题考查了同位语从句,同位语是对前面的名词的解释说明,当同位语部分是个句子的时候,就是同位语从句,这'}
+15:57:02,377 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 。故C选项正确。。\n\n\n【题干】：Mary worked here as a _ secretary and ended up _ a full-time job with the company. A. admirable; getting B. temporary; getting C. previous; to get D. cautious; to get\n【答案】：B\n【解析】：【详解】考查形容词及固定搭配。A. admirable令人羡慕的;B. temporary临时的;C. previous先前的;D. cautious谨慎的。句意:玛丽作为一个临时秘书在这里工作,最终在这家公司得到一份全职工作。固定搭配:end up doing sth. “最终做某事”。故B选项正确。。\n\n\n【题干】：It was obvious that there was _ between accounts of the witnesses for the murder case, so the judgment was not announced in court. A. security B. relation C. conflict D. revision\n【答案】：C\n【解析】：【详解】考查名词辨析。A. security安全;B. relation关系;C. conflict冲突;D. revision复习。句意:很明显,谋杀案目击者的叙述有冲突,所以法庭没有宣布判决。故C选项正确。。\n\n\n【题干】：— Tom, what a pity! I almost succeeded yesterday. —_. I told you to be careful before. A. One tree does not make a forest B. Where there’s life, there’s hope C. One false step will make a great difference D. Never put off till tomorrow what you can do today\n【答案】：C\n【解析】：【详解】考查谚语辨析。A. One tree does not make a forest独木不成林;B. Where there’s life, there’s hope有生命就有希望;C. One false step will make a great difference失之毫厘,谬之千里;D. Never put off till tomorrow what\n######################\nOutput:'}
+15:57:02,377 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:02,381 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': '。故C选项正确。。\n\n\n【题干】：Mary worked here as a _ secretary and ended up _ a full-time job with the company. A. admirable; getting B. temporary; getting C. previous; to get D. cautious; to get\n【答案】：B\n【解析】：【详解】考查形容词及固定搭配。A. admirable令人羡慕的;B. temporary临时的;C. previous先前的;D. cautious谨慎的。句意:玛丽作为一个临时秘书在这里工作,最终在这家公司得到一份全职工作。固定搭配:end up doing sth. “最终做某事”。故B选项正确。。\n\n\n【题干】：It was obvious that there was _ between accounts of the witnesses for the murder case, so the judgment was not announced in court. A. security B. relation C. conflict D. revision\n【答案】：C\n【解析】：【详解】考查名词辨析。A. security安全;B. relation关系;C. conflict冲突;D. revision复习。句意:很明显,谋杀案目击者的叙述有冲突,所以法庭没有宣布判决。故C选项正确。。\n\n\n【题干】：— Tom, what a pity! I almost succeeded yesterday. —_. I told you to be careful before. A. One tree does not make a forest B. Where there’s life, there’s hope C. One false step will make a great difference D. Never put off till tomorrow what you can do today\n【答案】：C\n【解析】：【详解】考查谚语辨析。A. One tree does not make a forest独木不成林;B. Where there’s life, there’s hope有生命就有希望;C. One false step will make a great difference失之毫厘,谬之千里;D. Never put off till tomorrow what'}
+15:57:02,405 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 选B。。\n\n\n【题干】：I can’t stay out overnight without my parents’_. A. obedience B. privacy C. affection D. approval\n【答案】：D\n【解析】：【详解】考查名词词义辨析。句意:没有父母的同意,我不能在外面过夜。A. obedience服从;B. privacy隐私;C. affection影响;D. approval同意。故选D。。\n\n\n【题干】：Scientists have made a major _ in the treatment of cancer. A. barrier B. breakthrough C. companion D. concern\n【答案】：B\n【解析】：【详解】考查名词词义辨析。句意:科学家在癌症治疗方面取得了重大突破。A. barrier障碍物;B. breakthrough突破;C. companion 同伴;D. concern关心。短语make a breakthrough突破。故选B。。\n\n\n【题干】：According to Professor Smith, the best approach _ a foreign language is to study the spoken language. A. to learn B. to learning C. of learning D. on learning\n【答案】：B\n【解析】：【详解】考查固定搭配。句意:史密斯教授认为,学习外语的最好方法是学习口语。the approach to doing sth.“做某事的方法”,此处to是介词,后面用动名词作表语,故选B。。\n\n\n【题干】：Hey, you _ at the computer all day. You should really take a break now. A. have been sitting B. were sitting C. did sit D. are sitting\n【答案】：A\n【解析】：【详解】考查现在完成进行时态。句意:嘿,你整天都坐在电脑前。你现在真的应该休息一下。结合句意可知句子用\n######################\nOutput:'}
+15:57:02,405 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:02,406 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': '选B。。\n\n\n【题干】：I can’t stay out overnight without my parents’_. A. obedience B. privacy C. affection D. approval\n【答案】：D\n【解析】：【详解】考查名词词义辨析。句意:没有父母的同意,我不能在外面过夜。A. obedience服从;B. privacy隐私;C. affection影响;D. approval同意。故选D。。\n\n\n【题干】：Scientists have made a major _ in the treatment of cancer. A. barrier B. breakthrough C. companion D. concern\n【答案】：B\n【解析】：【详解】考查名词词义辨析。句意:科学家在癌症治疗方面取得了重大突破。A. barrier障碍物;B. breakthrough突破;C. companion 同伴;D. concern关心。短语make a breakthrough突破。故选B。。\n\n\n【题干】：According to Professor Smith, the best approach _ a foreign language is to study the spoken language. A. to learn B. to learning C. of learning D. on learning\n【答案】：B\n【解析】：【详解】考查固定搭配。句意:史密斯教授认为,学习外语的最好方法是学习口语。the approach to doing sth.“做某事的方法”,此处to是介词,后面用动名词作表语,故选B。。\n\n\n【题干】：Hey, you _ at the computer all day. You should really take a break now. A. have been sitting B. were sitting C. did sit D. are sitting\n【答案】：A\n【解析】：【详解】考查现在完成进行时态。句意:嘿,你整天都坐在电脑前。你现在真的应该休息一下。结合句意可知句子用'}
+15:57:02,576 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 【题干】：China Daily is _a newspaper, for it also can serve as a useful textbook for English study. A. more than B. more or less C. less than D. no more than\n【答案】：A\n【解析】：【详解】考查词组。A. more than超过,不仅仅是;B. more or less或多或少;C. less than少于; D. no more than仅仅。句意:中国日报不仅是一份报纸,它还可以帮我们提高英语水平。more than后接名词表示“不仅仅是”。故选A。。\n\n\n【题干】：Due to frequent layoffs, there is anxiety among the employees _ they may one day be out of work. A. when B. how C. why D. that\n【答案】：D\n【解析】：【详解】考查连词。A. when当……的时候;B. how如何,怎么;C. why为什么;D. that(引导名词性从句,不做句子成分,只起连接作用)。句意:由于频繁的裁员,员工们担心有一天会失业。根据句意及句子结构分析可知,此处为anxiety的同位语从句,从句句子成分齐全,应使用that引导。故D选项正确。【点睛】that引导同位语从句和定语从句的区别: 1)从句法角度来看,引导同位语从句的连词that只起连接作用,在从句中不作任何成分,但不可以省略;而引导定语从句的关系代词that除了连接主句和从句之外,在从句中作一定成分,有时可省略。 Along with the letter was his promise that he would visit me this coming Christmas.随信一起来的是他\n######################\nOutput:'}
+15:57:02,577 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:02,579 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': '【题干】：China Daily is _a newspaper, for it also can serve as a useful textbook for English study. A. more than B. more or less C. less than D. no more than\n【答案】：A\n【解析】：【详解】考查词组。A. more than超过,不仅仅是;B. more or less或多或少;C. less than少于; D. no more than仅仅。句意:中国日报不仅是一份报纸,它还可以帮我们提高英语水平。more than后接名词表示“不仅仅是”。故选A。。\n\n\n【题干】：Due to frequent layoffs, there is anxiety among the employees _ they may one day be out of work. A. when B. how C. why D. that\n【答案】：D\n【解析】：【详解】考查连词。A. when当……的时候;B. how如何,怎么;C. why为什么;D. that(引导名词性从句,不做句子成分,只起连接作用)。句意:由于频繁的裁员,员工们担心有一天会失业。根据句意及句子结构分析可知,此处为anxiety的同位语从句,从句句子成分齐全,应使用that引导。故D选项正确。【点睛】that引导同位语从句和定语从句的区别: 1)从句法角度来看,引导同位语从句的连词that只起连接作用,在从句中不作任何成分,但不可以省略;而引导定语从句的关系代词that除了连接主句和从句之外,在从句中作一定成分,有时可省略。 Along with the letter was his promise that he would visit me this coming Christmas.随信一起来的是他'}
+15:57:02,592 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: :他对这件事保持沉默,因为他不想冒险卷入其中。固定搭配:risk doing sth.“冒险做某事”,且句子主语he和involve之间是一种被动关系,所以这里要用动名词一般式的被动式,故选C。。\n\n\n【题干】：_in voluntary work makes him feel happy and fulfilled. A. Participate B. Participated C. Participating D. Having participated\n【答案】：C\n【解析】：【详解】考查非谓语动词。句意:参与志愿工作使他感到快乐和满足。分析句子可知,句中缺少主语,故用动名词短语作主语。故选C。。\n\n\n【题干】：The doctor tried to _ me that my mother would be fine. A. whistle B. emerge C. reassure D. bend\n【答案】：C\n【解析】：【详解】考查动词词义辨析。句意:医生试图让我放心,我的母亲会好的。A. whistle吹口哨;B. emerge浮现;C. reassure使……安心;D. bend弯曲。故选C。。\n\n\n【题干】：New Zealand is home to around 16,000 bird _,double the number in all Europe. A. cures B. residents C. budgets D. species\n【答案】：D\n【解析】：【详解】考查名词词义辨析。句意:新西兰拥有大约16,000种鸟类,是欧洲总数的两倍。A. cures治疗;B. residents居民;C. budgets预算;D. species种类。故选D。。\n\n\n【题干】：Mr. Painter wanted to design a new system to _ the water in his garden in heavy rains. A. retreat B.\n######################\nOutput:'}
+15:57:02,592 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:02,597 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': ':他对这件事保持沉默,因为他不想冒险卷入其中。固定搭配:risk doing sth.“冒险做某事”,且句子主语he和involve之间是一种被动关系,所以这里要用动名词一般式的被动式,故选C。。\n\n\n【题干】：_in voluntary work makes him feel happy and fulfilled. A. Participate B. Participated C. Participating D. Having participated\n【答案】：C\n【解析】：【详解】考查非谓语动词。句意:参与志愿工作使他感到快乐和满足。分析句子可知,句中缺少主语,故用动名词短语作主语。故选C。。\n\n\n【题干】：The doctor tried to _ me that my mother would be fine. A. whistle B. emerge C. reassure D. bend\n【答案】：C\n【解析】：【详解】考查动词词义辨析。句意:医生试图让我放心,我的母亲会好的。A. whistle吹口哨;B. emerge浮现;C. reassure使……安心;D. bend弯曲。故选C。。\n\n\n【题干】：New Zealand is home to around 16,000 bird _,double the number in all Europe. A. cures B. residents C. budgets D. species\n【答案】：D\n【解析】：【详解】考查名词词义辨析。句意:新西兰拥有大约16,000种鸟类,是欧洲总数的两倍。A. cures治疗;B. residents居民;C. budgets预算;D. species种类。故选D。。\n\n\n【题干】：Mr. Painter wanted to design a new system to _ the water in his garden in heavy rains. A. retreat B.'}
+15:57:02,626 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: several months and it made farmers _ about the harvest. A. astonished B. anxious C. eager D. busy\n【答案】：B\n【解析】：【详解】考查形容词辨析。句意:干旱已经持续了几个月,农民们对收成感到焦虑。A. astonished惊讶的;B. anxious焦虑的;C. eager渴望的;D. busy繁忙的。be anxious about“对……感到焦虑”,干旱会影响收成,农民们自然会感到焦虑,故B选项正确。。\n\n\n【题干】：The atmosphere gets thinner and thinner _ the height increases. A. while B. since C. as D. for\n【答案】：C\n【解析】：【详解】考查连词辨析。句意:随着高度的增加,大气变得越来越稀薄。A. while当……时;B. since自从……以来;C. as随着……;D. for因为。这里表示伴随,故C选项正确。。\n\n\n【题干】：By the time he was 4 years old, he _ 100 English words. A. learns B. will have learned C. has learned D. had learned\n【答案】：D\n【解析】：【详解】考查过去完成时。句意:到他4岁的时候,他已经学会了100个英语单词。by the time引导的时间状语从句,从句过去时,主句用过去完成时。故D选项正确。【点睛】by the time意为“到……时候(为止)”,是一个介词短语,在句中经常起连词作用,引导时间状语从句。它的主要用法如下: 1. 如果从句中的谓语动词是一般过\n######################\nOutput:'}
+15:57:02,627 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:02,628 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': 'several months and it made farmers _ about the harvest. A. astonished B. anxious C. eager D. busy\n【答案】：B\n【解析】：【详解】考查形容词辨析。句意:干旱已经持续了几个月,农民们对收成感到焦虑。A. astonished惊讶的;B. anxious焦虑的;C. eager渴望的;D. busy繁忙的。be anxious about“对……感到焦虑”,干旱会影响收成,农民们自然会感到焦虑,故B选项正确。。\n\n\n【题干】：The atmosphere gets thinner and thinner _ the height increases. A. while B. since C. as D. for\n【答案】：C\n【解析】：【详解】考查连词辨析。句意:随着高度的增加,大气变得越来越稀薄。A. while当……时;B. since自从……以来;C. as随着……;D. for因为。这里表示伴随,故C选项正确。。\n\n\n【题干】：By the time he was 4 years old, he _ 100 English words. A. learns B. will have learned C. has learned D. had learned\n【答案】：D\n【解析】：【详解】考查过去完成时。句意:到他4岁的时候,他已经学会了100个英语单词。by the time引导的时间状语从句,从句过去时,主句用过去完成时。故D选项正确。【点睛】by the time意为“到……时候(为止)”,是一个介词短语,在句中经常起连词作用,引导时间状语从句。它的主要用法如下: 1. 如果从句中的谓语动词是一般过'}
+15:57:02,737 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: +其他-。由此可知A项正确。【点睛】浅谈强调句 1. 用It is/was...that/who...句型表示强调。 (1)陈述句的强调句型:It is/was+被强调部分(通常是主语、宾语或状语)+that/who(当强调主语且主语指人)+其它部分。 e.g. It was yesterday that he met Li Ping. (2)一般疑问句的强调句型:同上,只是把is/was提到it前面。 e.g. Was it yesterday that he met Li Ping? (3)特殊疑问句的强调句型:被强调部分(通常是疑问代词或疑问副词)+is/was+it+that/who+其它部分?e.g. When and where was it that you were born? 2. not...until...句型的强调句: 句型为:It is/was not until+被强调部分+that+其它部分: e.g. 普通句:He didn\'t go to bed until/till his wife came back. 强调句:It was not until his wife came back that he went to bed. 注意:此句型只用until,不用till。但如果不是强调句型,till, until可通用; 因为句型中It is/was not...已经是否定句了,that后面的从句要用肯定句,切勿再用否定句了。 3. 强调谓语动词:用助动词do, does或did加动词原形来强调谓语动词。注意:此种强调只用do/does和did,没有别的形式;过去时态用did,后面的谓语动词用原形。如:Do come early. 务必\n######################\nOutput:'}
+15:57:02,737 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:02,738 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': "+其他-。由此可知A项正确。【点睛】浅谈强调句 1. 用It is/was...that/who...句型表示强调。 (1)陈述句的强调句型:It is/was+被强调部分(通常是主语、宾语或状语)+that/who(当强调主语且主语指人)+其它部分。 e.g. It was yesterday that he met Li Ping. (2)一般疑问句的强调句型:同上,只是把is/was提到it前面。 e.g. Was it yesterday that he met Li Ping? (3)特殊疑问句的强调句型:被强调部分(通常是疑问代词或疑问副词)+is/was+it+that/who+其它部分?e.g. When and where was it that you were born? 2. not...until...句型的强调句: 句型为:It is/was not until+被强调部分+that+其它部分: e.g. 普通句:He didn't go to bed until/till his wife came back. 强调句:It was not until his wife came back that he went to bed. 注意:此句型只用until,不用till。但如果不是强调句型,till, until可通用; 因为句型中It is/was not...已经是否定句了,that后面的从句要用肯定句,切勿再用否定句了。 3. 强调谓语动词:用助动词do, does或did加动词原形来强调谓语动词。注意:此种强调只用do/does和did,没有别的形式;过去时态用did,后面的谓语动词用原形。如:Do come early. 务必"}
+15:57:02,824 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: �原形来强调谓语动词。注意:此种强调只用do/does和did,没有别的形式;过去时态用did,后面的谓语动词用原形。如:Do come early. 务必早来。He did send you a letter last week. 昨天他确实寄给你一封信。。\n\n\n【题干】：Spelling Bee is a contest _ competitors, usually children, are asked to spell as many words as possible. A. which B. when C. what D. where\n【答案】：D\n【解析】：【详解】考查定语从句。句意:拼字比赛是要求参赛者,通常是孩子,拼出尽可能多的单词的比赛。此处a contest是先行词,在后面的定语从句中作地点状语,故答案为D。【点睛】分析定语从句关键抓住两点:第一、找准先行词;第二、看先行词在定语从句中所作的成分。先行词往往为名词或代词,如本题中先行词为名词a contest,再分析先行词a contest在定语从句中所作的成分,将先行词a contest带到从句中可知,只能作地点状语,故确定关系词where。。\n\n\n【题干】：He kept silent over the matter because he had no intention to risk _ in it. A. to involve B. involving C. being involved D. to be involved\n【答案】：C\n【解析】：【详解】考查非谓语动词。句意:他对这件事保持沉默,因为他不想冒险卷入其中。固定搭配:risk doing sth.“冒险做某事”,且句子主语he和involve之间\n######################\nOutput:'}
+15:57:02,825 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:02,829 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': '�原形来强调谓语动词。注意:此种强调只用do/does和did,没有别的形式;过去时态用did,后面的谓语动词用原形。如:Do come early. 务必早来。He did send you a letter last week. 昨天他确实寄给你一封信。。\n\n\n【题干】：Spelling Bee is a contest _ competitors, usually children, are asked to spell as many words as possible. A. which B. when C. what D. where\n【答案】：D\n【解析】：【详解】考查定语从句。句意:拼字比赛是要求参赛者,通常是孩子,拼出尽可能多的单词的比赛。此处a contest是先行词,在后面的定语从句中作地点状语,故答案为D。【点睛】分析定语从句关键抓住两点:第一、找准先行词;第二、看先行词在定语从句中所作的成分。先行词往往为名词或代词,如本题中先行词为名词a contest,再分析先行词a contest在定语从句中所作的成分,将先行词a contest带到从句中可知,只能作地点状语,故确定关系词where。。\n\n\n【题干】：He kept silent over the matter because he had no intention to risk _ in it. A. to involve B. involving C. being involved D. to be involved\n【答案】：C\n【解析】：【详解】考查非谓语动词。句意:他对这件事保持沉默,因为他不想冒险卷入其中。固定搭配:risk doing sth.“冒险做某事”,且句子主语he和involve之间'}
+15:57:02,935 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: . cures治疗;B. residents居民;C. budgets预算;D. species种类。故选D。。\n\n\n【题干】：Mr. Painter wanted to design a new system to _ the water in his garden in heavy rains. A. retreat B. drain C. tremble D. shrink\n【答案】：B\n【解析】：【详解】考查动词词义辨析。句意:Painter先生想设计一种新的系统,在下大雨时来给他的花园里排水。A. retreat撤退;B. drain排出;C. tremble发抖;D. shrink退缩。故选B。。\n\n\n【题干】：The family wrote a letter to the organization to express their _ for help. A. faith B. appeal C. relief D. sight\n【答案】：B\n【解析】：【详解】考查名词词义辨析。句意:这家人写了一封信给该组织表达他们需要援助的恳求。A. faith信仰;B. appeal恳求;C. relief减轻;D. sight视力。故选B。。\n\n\n【题干】：Winning this game is _ to the team, for the result will decide whether it can defend its championship. A. contemporary B. crucial C. complicated D. constant\n【答案】：B\n【解析】：【详解】考查形容词词义辨析。句意:赢得这场比赛对球队至关重要,因为结果将决定它能否卫冕冠军。A. contemporary当代的;B. crucial决定性的;C. complicated复杂难懂的;D. constant经常的。故选B。。\n\n\n【题干】：I can’t stay out overnight without my parents’_. A. obedience B. privacy C. affection D. approval\n【答案】：D\n【解析】：【详解】考查名词词义辨析。�\n######################\nOutput:'}
+15:57:02,936 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:02,942 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': '. cures治疗;B. residents居民;C. budgets预算;D. species种类。故选D。。\n\n\n【题干】：Mr. Painter wanted to design a new system to _ the water in his garden in heavy rains. A. retreat B. drain C. tremble D. shrink\n【答案】：B\n【解析】：【详解】考查动词词义辨析。句意:Painter先生想设计一种新的系统,在下大雨时来给他的花园里排水。A. retreat撤退;B. drain排出;C. tremble发抖;D. shrink退缩。故选B。。\n\n\n【题干】：The family wrote a letter to the organization to express their _ for help. A. faith B. appeal C. relief D. sight\n【答案】：B\n【解析】：【详解】考查名词词义辨析。句意:这家人写了一封信给该组织表达他们需要援助的恳求。A. faith信仰;B. appeal恳求;C. relief减轻;D. sight视力。故选B。。\n\n\n【题干】：Winning this game is _ to the team, for the result will decide whether it can defend its championship. A. contemporary B. crucial C. complicated D. constant\n【答案】：B\n【解析】：【详解】考查形容词词义辨析。句意:赢得这场比赛对球队至关重要,因为结果将决定它能否卫冕冠军。A. contemporary当代的;B. crucial决定性的;C. complicated复杂难懂的;D. constant经常的。故选B。。\n\n\n【题干】：I can’t stay out overnight without my parents’_. A. obedience B. privacy C. affection D. approval\n【答案】：D\n【解析】：【详解】考查名词词义辨析。�'}
+15:57:02,955 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 句意:只要你尽力而为,即使将来可能失败也不会有人指责你。A. as though仿佛;B. in case万一;C. now that既然;D. even if即使。前后是让步关系,此处应用even if引导让步状语从句。。\n\n\n【题干】：I’ve spent _ most exciting day today, for _ younger of my two sons has been admitted into the university. A. a;a B. a;the C. the;a D. the;/\n【答案】：B\n【解析】：【详解】考查冠词的用法。句意:我今天度过了非常兴奋的一天,因为我两个儿子中较小的那一个已经被大学录取。a/an + most +形容词"非常……"。而指"两个中较……的"时,常常用the + 比较级+ of the two。 故选B。。\n\n\n【题干】：They have read the paper many times, but it doesn’t make any _. A. sense B. value C. mark D. symbol\n【答案】：A\n【解析】：【详解】考查名词辨析和搭配。句意:他们已经读了这篇论文很多遍了,但是还是没有理解。sense意义;value价值;mark标志;symbol象征。make sense有意义, 理解,讲得通。根据语境可知A符合题意,故选A。。\n\n\n【题干】：Yesterday she got _, giving us no choice but to send her to the nearest hospital. A. sicker and sicker B. sick and sick C. more sicker D. less sicker\n【答案】：A\n【解析】：【详解】考查比较级。句意:昨天她的病变得越来越严重了,我们别无选择只能送她去了最\n######################\nOutput:'}
+15:57:02,955 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:02,956 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': '句意:只要你尽力而为,即使将来可能失败也不会有人指责你。A. as though仿佛;B. in case万一;C. now that既然;D. even if即使。前后是让步关系,此处应用even if引导让步状语从句。。\n\n\n【题干】：I’ve spent _ most exciting day today, for _ younger of my two sons has been admitted into the university. A. a;a B. a;the C. the;a D. the;/\n【答案】：B\n【解析】：【详解】考查冠词的用法。句意:我今天度过了非常兴奋的一天,因为我两个儿子中较小的那一个已经被大学录取。a/an + most +形容词"非常……"。而指"两个中较……的"时,常常用the + 比较级+ of the two。 故选B。。\n\n\n【题干】：They have read the paper many times, but it doesn’t make any _. A. sense B. value C. mark D. symbol\n【答案】：A\n【解析】：【详解】考查名词辨析和搭配。句意:他们已经读了这篇论文很多遍了,但是还是没有理解。sense意义;value价值;mark标志;symbol象征。make sense有意义, 理解,讲得通。根据语境可知A符合题意,故选A。。\n\n\n【题干】：Yesterday she got _, giving us no choice but to send her to the nearest hospital. A. sicker and sicker B. sick and sick C. more sicker D. less sicker\n【答案】：A\n【解析】：【详解】考查比较级。句意:昨天她的病变得越来越严重了,我们别无选择只能送她去了最'}
+15:57:03,93 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: �的关系代词that除了连接主句和从句之外,在从句中作一定成分,有时可省略。 Along with the letter was his promise that he would visit me this coming Christmas.随信一起来的是他的承诺,他说会在即将到来的圣诞节来看我。(同位语从句中的that不做任何成分) The suggestion (that) he made at the meeting was very right.他在会议上给出的建议是正确的。(此定语从句中的that在从句中作宾语,可以省略) 2)从语义角度来看,同位语从句that引导的从句在句中解释说明前面的名词,而定语从句中that引导的从句则是起到修饰限定先行词的作用。 The news that we are having a holiday tomorrow is not true.明天放假的消息不实。(that引导的从句说明news的内容) He lost his money that had been saved for a long time.他丢了存了很久的钱。(that引导的定语从句,修饰限定先行词money)。\n\n\n【题干】：Nowadays many parents tend to be tolerant _ their children’s choices of majors at university. A. as a consequence of B. regardless of C. in regard to D. at the mercy of\n【答案】：C\n【解析】：【详解】考查介词词组辨析。A. as a consequence of结果;B. regardless of不管;C. in regard to关于;D. at the mercy of支配。句意:如今,许多父母对子女选择大学专业持宽容态度。故C选项正确。。\n\n\n【题干】：Mary worked here as a _ secretary and ended up _ a full-time job with the company. A. admirable; getting B. temporary; getting C. previous; to get D. cautious; to get\n【答案】：B\n######################\nOutput:'}
+15:57:03,93 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:03,97 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': '�的关系代词that除了连接主句和从句之外,在从句中作一定成分,有时可省略。 Along with the letter was his promise that he would visit me this coming Christmas.随信一起来的是他的承诺,他说会在即将到来的圣诞节来看我。(同位语从句中的that不做任何成分) The suggestion (that) he made at the meeting was very right.他在会议上给出的建议是正确的。(此定语从句中的that在从句中作宾语,可以省略) 2)从语义角度来看,同位语从句that引导的从句在句中解释说明前面的名词,而定语从句中that引导的从句则是起到修饰限定先行词的作用。 The news that we are having a holiday tomorrow is not true.明天放假的消息不实。(that引导的从句说明news的内容) He lost his money that had been saved for a long time.他丢了存了很久的钱。(that引导的定语从句,修饰限定先行词money)。\n\n\n【题干】：Nowadays many parents tend to be tolerant _ their children’s choices of majors at university. A. as a consequence of B. regardless of C. in regard to D. at the mercy of\n【答案】：C\n【解析】：【详解】考查介词词组辨析。A. as a consequence of结果;B. regardless of不管;C. in regard to关于;D. at the mercy of支配。句意:如今,许多父母对子女选择大学专业持宽容态度。故C选项正确。。\n\n\n【题干】：Mary worked here as a _ secretary and ended up _ a full-time job with the company. A. admirable; getting B. temporary; getting C. previous; to get D. cautious; to get\n【答案】：B'}
+15:57:03,187 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 读”。故选C。。\n\n\n【题干】：He has been sent to the place _ needs him most. A. where B. that C. what D. it\n【答案】：B\n【解析】：【详解】考查定语从句。句意:他已经被派到最需要他的地方了。本题定语从句的先行词是the place,定语从句中缺少主语,要用关系代词that指代先行词,引导定语从句并在句中做主语。CD项不能引导定语从句,where要在句中做状语。故B项正确。【点睛】本题考查了关系代词that的用法,that是比较常见的关系代词,并且有的时候是只能用that。接下来就看看时候只用that的情况。 1当先行词是anything,everything,nothing,few,all,alone,little,some等指人或物的代词时。或者是有诸如every,any,all,no,much等词修饰时。 There seems to be nothing that can help you. 似乎没有任何事可以帮你。(nothing 出现) B. All that can be applied in the research have been rejected. 所有能被运用于研究的都被否决了。(all的出现) 2 当先行词既有人也有事物。 A. The talked the people and things in the bar that they remember. 他们谈论着他们记起的酒吧的人和事。(人和物的出现) 3 有形容词最高级修饰先行词时。 This is the best hotel in the city that I know. 这是我所知道的城市里最好的旅馆。(best 为最高级) 4.序数词修饰先行词时。 The first time that they meet together\n######################\nOutput:'}
+15:57:03,188 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:03,193 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': '读”。故选C。。\n\n\n【题干】：He has been sent to the place _ needs him most. A. where B. that C. what D. it\n【答案】：B\n【解析】：【详解】考查定语从句。句意:他已经被派到最需要他的地方了。本题定语从句的先行词是the place,定语从句中缺少主语,要用关系代词that指代先行词,引导定语从句并在句中做主语。CD项不能引导定语从句,where要在句中做状语。故B项正确。【点睛】本题考查了关系代词that的用法,that是比较常见的关系代词,并且有的时候是只能用that。接下来就看看时候只用that的情况。 1当先行词是anything,everything,nothing,few,all,alone,little,some等指人或物的代词时。或者是有诸如every,any,all,no,much等词修饰时。 There seems to be nothing that can help you. 似乎没有任何事可以帮你。(nothing 出现) B. All that can be applied in the research have been rejected. 所有能被运用于研究的都被否决了。(all的出现) 2 当先行词既有人也有事物。 A. The talked the people and things in the bar that they remember. 他们谈论着他们记起的酒吧的人和事。(人和物的出现) 3 有形容词最高级修饰先行词时。 This is the best hotel in the city that I know. 这是我所知道的城市里最好的旅馆。(best 为最高级) 4.序数词修饰先行词时。 The first time that they meet together'}
+15:57:03,239 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 【题干】：-Madam, if you like I can give you a lift to the downtown area. - That’s a very kind _. A. service B. offer C. promise D. choice\n【答案】：B\n【解析】：【详解】名词辨析。A. service服务; B. offer提议; C. promise许诺; D. choice选择。句意:—夫人,如果您愿意,我可以载您到市中心。—这是一个非常好的提议。结合句意可知答案为B。。\n\n\n【题干】：- Have you ever been to Provence which is home to lavender(薰衣草) in Paris? - Yes, only once. I _ there for a week. A. had stayed B. were staying C. have stayed D. stayed\n【答案】：D\n【解析】：【详解】考查时态。句意:—你去过巴黎薰衣草的故乡普罗旺斯吗?—是的,只有一次。我在那里呆了一个星期。此处是指过去发生的一件事,与现在无关,所以用一般过去时态,故答案为D。。\n\n\n【题干】：Due to the frequent school shootings, the only way the president could imagine _ such tragedies was to ban guns across the US. A. preventing B. prevented C. to prevent D. having prevented\n【答案】：C\n【解析】：【详解】考查动词不定式作后置定语。句意:由于校园枪击案频发,总统能想到的防止此类悲剧发生的唯一办法就是在全美范围内禁止枪支。此处是动词不定式作后置定语,故选C。。\n\n\n【题干】：My computer _ start this morning. There must have been something wrong with it. A. wouldn’t B. shouldn’t C. couldn’t D.\n######################\nOutput:'}
+15:57:03,240 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:03,244 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': '【题干】：-Madam, if you like I can give you a lift to the downtown area. - That’s a very kind _. A. service B. offer C. promise D. choice\n【答案】：B\n【解析】：【详解】名词辨析。A. service服务; B. offer提议; C. promise许诺; D. choice选择。句意:—夫人,如果您愿意,我可以载您到市中心。—这是一个非常好的提议。结合句意可知答案为B。。\n\n\n【题干】：- Have you ever been to Provence which is home to lavender(薰衣草) in Paris? - Yes, only once. I _ there for a week. A. had stayed B. were staying C. have stayed D. stayed\n【答案】：D\n【解析】：【详解】考查时态。句意:—你去过巴黎薰衣草的故乡普罗旺斯吗?—是的,只有一次。我在那里呆了一个星期。此处是指过去发生的一件事,与现在无关,所以用一般过去时态,故答案为D。。\n\n\n【题干】：Due to the frequent school shootings, the only way the president could imagine _ such tragedies was to ban guns across the US. A. preventing B. prevented C. to prevent D. having prevented\n【答案】：C\n【解析】：【详解】考查动词不定式作后置定语。句意:由于校园枪击案频发,总统能想到的防止此类悲剧发生的唯一办法就是在全美范围内禁止枪支。此处是动词不定式作后置定语,故选C。。\n\n\n【题干】：My computer _ start this morning. There must have been something wrong with it. A. wouldn’t B. shouldn’t C. couldn’t D.'}
+15:57:03,245 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: sicker\n【答案】：A\n【解析】：【详解】考查比较级。句意:昨天她的病变得越来越严重了,我们别无选择只能送她去了最近的医院。sicker本身是比较级形式,其前不可再加more或less,排除C、D两项;表示程度不断加深要用"比较级+and+比较级"结构,故选A。。\n\n\n【题干】：As a great scientist, little joy can equal_ of being awarded the Nobel Prize. A. that B. this C. it D. one\n【答案】：A\n【解析】：【详解】考查代词。句意:作为一个伟大的科学家,任何喜悦都赶不上获得诺贝尔奖。空处指代"获得诺贝尔奖的喜悦",与前面的"joy"相比是同类不同物,应使用that代替。。\n\n\n【题干】：For Lucy, the most necessary thing is to find a suitable job, _ in which she can earn her living and fulfill her potential. A. that B. it C. the one D. one\n【答案】：D\n【解析】：【详解】考查替代。句意:对Lucy来说,当务之急是找到一份合适的工作,一份能够让她谋生并发挥潜力的工作。这里one指代a suitable job,在句中作a suitable job的同位语。故答案为D。。\n\n\n【题干】：We find _easy to get along with our new teachers here. A. that B. it C. this D. 不填\n【答案】：B\n【解析】：【详解】考查代词it的用法。句意:我们发现与我们这里的新老师相处很容易。此处\n######################\nOutput:'}
+15:57:03,245 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:03,246 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': 'sicker\n【答案】：A\n【解析】：【详解】考查比较级。句意:昨天她的病变得越来越严重了,我们别无选择只能送她去了最近的医院。sicker本身是比较级形式,其前不可再加more或less,排除C、D两项;表示程度不断加深要用"比较级+and+比较级"结构,故选A。。\n\n\n【题干】：As a great scientist, little joy can equal_ of being awarded the Nobel Prize. A. that B. this C. it D. one\n【答案】：A\n【解析】：【详解】考查代词。句意:作为一个伟大的科学家,任何喜悦都赶不上获得诺贝尔奖。空处指代"获得诺贝尔奖的喜悦",与前面的"joy"相比是同类不同物,应使用that代替。。\n\n\n【题干】：For Lucy, the most necessary thing is to find a suitable job, _ in which she can earn her living and fulfill her potential. A. that B. it C. the one D. one\n【答案】：D\n【解析】：【详解】考查替代。句意:对Lucy来说,当务之急是找到一份合适的工作,一份能够让她谋生并发挥潜力的工作。这里one指代a suitable job,在句中作a suitable job的同位语。故答案为D。。\n\n\n【题干】：We find _easy to get along with our new teachers here. A. that B. it C. this D. 不填\n【答案】：B\n【解析】：【详解】考查代词it的用法。句意:我们发现与我们这里的新老师相处很容易。此处'}
+15:57:03,406 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: �拟语气。句意:我多么希望我没有去修理那块表!我只让事情变得更糟了。动词wish后接宾语从句时,从句谓语要用虚拟语气若表示与过去相反的愿望,从句谓语用过去完成时。根据句意以及“made”可知,B选项正确。【点睛】wish后宾语从句用虚拟语气 动词wish后接宾语从句时,从句谓语要用虚拟语气。1.若要表示与现在事实相反的愿望,从句谓语用一般过去时;2.若表示与过去相反的愿望,从句谓语用过去完成时;3.若表示将来没有把握或不太可能实现的愿望,用would (could)+动词原形。本句符合第2点用法,故B选项正确。。\n\n\n【题干】：In recent years, in many Western countries, in the USA and the UK, Halloween has become a special occasion. A. in general B. in brief C. in short D. in particular\n【答案】：D\n【解析】：【详解】考查介词短语辨析。A. in general意为"总的说来,通常";B. in brief意为"简言之";C. in short意为"总之,简而言之";D. in particular意为"尤其,特别"。句意:近年来,在许多西方国家,尤其是在美国和英国,万圣节前夕已经成为一种特殊的场合。故D选项正确。。\n\n\n【题干】：When faced with challenges, firmly believe that holding on to your dreams and doubling your efforts will _ lead to success. A. deliberately B. eventually C. automatically D.\n######################\nOutput:'}
+15:57:03,406 root ERROR error extracting graph
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 69, in map_httpcore_exceptions
+    yield
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 373, in handle_async_request
+    resp = await self._pool.handle_async_request(req)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 216, in handle_async_request
+    raise exc from None
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py", line 196, in handle_async_request
+    response = await connection.handle_async_request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py", line 207, in handle_async_request
+    return await self._connection.handle_async_request(proxy_request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py", line 101, in handle_async_request
+    return await self._connection.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 143, in handle_async_request
+    raise exc
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 113, in handle_async_request
+    ) = await self._receive_response_headers(**kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 186, in _receive_response_headers
+    event = await self._receive_event(timeout=timeout)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py", line 224, in _receive_event
+    data = await self._network_stream.read(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py", line 32, in read
+    with map_exceptions(exc_map):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py", line 14, in map_exceptions
+    raise to_exc(exc) from exc
+httpcore.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1558, in _request
+    response = await self._client.send(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1661, in send
+    response = await self._send_handling_auth(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1689, in _send_handling_auth
+    response = await self._send_handling_redirects(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1726, in _send_handling_redirects
+    response = await self._send_single_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py", line 1763, in _send_single_request
+    response = await transport.handle_async_request(request)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 372, in handle_async_request
+    with map_httpcore_exceptions():
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py", line 153, in __exit__
+    self.gen.throw(typ, value, traceback)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py", line 86, in map_httpcore_exceptions
+    raise mapped_exc(message) from exc
+httpx.ReadTimeout
+
+The above exception was the direct cause of the following exception:
+
+Traceback (most recent call last):
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 123, in __call__
+    result = await self._process_document(text, prompt_variables)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py", line 151, in _process_document
+    response = await self._llm(
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py", line 34, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py", line 37, in __call__
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py", line 33, in __call__
+    output = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py", line 104, in __call__
+    result = await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 177, in __call__
+    result, start = await execute_with_retry()
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 159, in execute_with_retry
+    async for attempt in retryer:
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 166, in __anext__
+    do = await self.iter(retry_state=self._retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py", line 153, in iter
+    result = await action(retry_state)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py", line 99, in inner
+    return call(*args, **kwargs)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 418, in exc_check
+    raise retry_exc.reraise()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py", line 185, in reraise
+    raise self.last_attempt.result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 451, in result
+    return self.__get_result()
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py", line 403, in __get_result
+    raise self._exception
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 165, in execute_with_retry
+    return await do_attempt(), start
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py", line 147, in do_attempt
+    return await self._delegate(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 49, in __call__
+    return await self._invoke(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py", line 53, in _invoke
+    output = await self._execute_llm(input, **kwargs)
+  File "/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py", line 55, in _execute_llm
+    completion = await self.client.chat.completions.create(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py", line 1295, in create
+    return await self._post(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1826, in post
+    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1519, in request
+    return await self._request(
+  File "/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py", line 1577, in _request
+    raise APITimeoutError(request=request) from err
+openai.APITimeoutError: Request timed out.
+15:57:03,409 graphrag.index.reporting.file_workflow_callbacks INFO Entity Extraction Error details={'doc_index': 0, 'text': '�拟语气。句意:我多么希望我没有去修理那块表!我只让事情变得更糟了。动词wish后接宾语从句时,从句谓语要用虚拟语气若表示与过去相反的愿望,从句谓语用过去完成时。根据句意以及“made”可知,B选项正确。【点睛】wish后宾语从句用虚拟语气 动词wish后接宾语从句时,从句谓语要用虚拟语气。1.若要表示与现在事实相反的愿望,从句谓语用一般过去时;2.若表示与过去相反的愿望,从句谓语用过去完成时;3.若表示将来没有把握或不太可能实现的愿望,用would (could)+动词原形。本句符合第2点用法,故B选项正确。。\n\n\n【题干】：In recent years, in many Western countries, in the USA and the UK, Halloween has become a special occasion. A. in general B. in brief C. in short D. in particular\n【答案】：D\n【解析】：【详解】考查介词短语辨析。A. in general意为"总的说来,通常";B. in brief意为"简言之";C. in short意为"总之,简而言之";D. in particular意为"尤其,特别"。句意:近年来,在许多西方国家,尤其是在美国和英国,万圣节前夕已经成为一种特殊的场合。故D选项正确。。\n\n\n【题干】：When faced with challenges, firmly believe that holding on to your dreams and doubling your efforts will _ lead to success. A. deliberately B. eventually C. automatically D.'}
+16:00:01,866 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: hidden D. having hidden\n【答案】：A\n【解析】：【详解】考查非谓语动词。句意:藏在两个大一点的宾馆之间的这家宾馆很容易被忽视,但它值得选择。动词短语hide between two much larger hotels与主语the hotel之间构成主动关系,要用现在分词短语充当定语修饰the hotel,相当于定语从句which hides between two much larger hotels。B项表示未来的事情,C项表示被动,D项表示已经完成的事情。故A项正确。。\n\n\n【题干】：Ms Rogers will _ her ideas to the Board at next week’s meeting, so that they will have a further discussion. A. accomplish B. present C. confront D. expose\n【答案】：B\n【解析】：【详解】考查动词词义辨析。A. accomplish完成,实现;B. present呈现,发表;提出;赠送;表达;C. confront对抗;遭遇;面临;D. expose揭露;曝光;使……接触;句意:在下周的会议上Ms Rogers将会发表她的观点,以便于他们进行更进一步的讨论。根据句意可知present表示“呈现”符合上下文语境,故选择B项。。\n\n\n【题干】：I often wonder if it is mistrust _ causes misunderstanding and conflict between people. A. which B. when C. why D. that\n【答案】：D\n【解析】：【详解】考查强调句型。句意:我经常想是不是不信任导致了人们之间的误解和冲突。本句考查了强调句型:It is/was+被强调成分+that/who+ 其他成分;当被强\n######################\nOutput:'}
+16:00:01,915 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 作正在进行的同时,另一动作也在进行之中,这时主从句都用进行时态,有对同类的两个动作进行对比的意味.如: While I was playing the piano, she was dancing.我在弹钢琴,她在跳舞. 2.表示某个动作正在进行时,又发生了另一动作(该动作用一般过去时).如: While we were swimming in the river, we saw a fish jump out of the water. 我们正在河中游泳时,看见一条鱼跃出了水面. 三、while还有以下几种常见用法: 1.只要(=as long as) There will be life while there is water and air.只要有空气和水,就会有生命. 2.而;然而〔表示对比〕 He is a driver while I\'m a teacher.他是司机,而我是老师. 3.虽然(=although);尽管〔表示让步〕 While I see what you say, I can\'t agree with you.虽然我能理解你说的话,但是我不能同意你. 4.用作名词,表示“一会儿或一段时间”,常与a, the或this等连用.如: Just wait a while and then I will help you.等一下,我会来帮你的. 四、while所引导的时间状语从句中的谓语动词只能是延续性动词。 例如:I met with an old friend of mine while (when) I was walking along the street.。\n\n\n【题干】：The hotel, _ between two much larger hotels, is easy to overlook but worth choosing. A. hiding B. to hide C. hidden D. having hidden\n【答案】：A\n【解析】：【详解】考查非谓语动词。句意:藏在两个大一点的宾馆之间的这家宾馆很容易被\n######################\nOutput:'}
+16:00:01,964 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 前夕已经成为一种特殊的场合。故D选项正确。。\n\n\n【题干】：When faced with challenges, firmly believe that holding on to your dreams and doubling your efforts will _ lead to success. A. deliberately B. eventually C. automatically D. appropriately\n【答案】：B\n【解析】：【详解】本题考查副词辨析。解题步骤:1. 确定各选项意思:A. deliberately故意地;B. eventually最终地;C. automatically自动地;D. appropriately适当地。2. 确定答案:lead to success是最终的结果,故选B。句意:当面临挑战的时候,坚信坚持自己的梦想,并加倍努力,最终会取得成功。。\n\n\n【题干】：It seems that _ the road is a single track we still need to install traffic lights. A. if B. unless C. although D. because\n【答案】：C\n【解析】：【详解】考查让步状语从句。句意:看来,尽管这条路是一条单向小道,我们仍旧需要安装交通信号灯。A. if如果;B. unless除非;C. although尽管;D. because因为。前后是让步关系,故选C项although来引导让步状语从句。。\n\n\n【题干】：So long as you do what you can, no one will blame you _ you might fail in the future. A. as though B. in case C. now that D. even if\n【答案】：D\n【解析】：【详解】考查让步状语从句。句意:只要你尽力而为,即使将来可能失败也不会有人指责你。A. as though仿佛;B. in case万一;C. now that既然;D. even if即使。前后是让\n######################\nOutput:'}
+16:00:02,99 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 中还省略了should。故D项正确。。\n\n\n【题干】：My son, Ben, had got in touch, he’d moved to England with his mum when he was three and it had been 13 years since I’d last seen him. So imagine my _ when he emailed me saying he wanted to come to visit me. A. delight B. relief C. anger D. worry\n【答案】：A\n【解析】：【详解】考查名词词义辨析。句意:我的儿子本和我取得了联系,他三岁的时候和他妈妈一起搬到了英国,我已经有13年没见过他了。想象一下,当他给我发邮件说他想来看我时,我是多么高兴。根据上下文可知,13年没有见到自己的儿子,突然收到儿子的电子邮件,并且说要来看自己。由此可以推知,我很快乐、开心。A. delight高兴,愉快;B. relief (痛苦、忧虑等的)解除,减轻;C. anger怒,忿怒;D. worry担心。故选A项切题。。\n\n\n【题干】：When we were young, we were brought up by our parents to _ the table manners both at home and in public. A. determine B. observe C. announce D. control\n【答案】：B\n【解析】：【详解】考查动词词义辨析。句意:我们还年幼的时候,父母教育我们不管是在家还是在公共场合都要遵守餐桌礼仪。A. determine决定,决心;B. observe遵守;C. announce通知,宣布;D. control控制。结合句意可知,此处指“遵守”餐桌\n######################\nOutput:'}
+16:00:02,101 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: �礼仪。A. determine决定,决心;B. observe遵守;C. announce通知,宣布;D. control控制。结合句意可知,此处指“遵守”餐桌礼仪,故B项切题。。\n\n\n【题干】：It is required that all traffic participants should _ the traffic rules to make traffic safer and faster. A. perform B. observe C. support D. possess\n【答案】：B\n【解析】：【详解】考查动词词义辨析。句意:要求所有交通参与者都要遵守交通规则,使交通更安全、更快捷。A. perform履行,表演;B. observe遵守,庆祝,观察;C. support支持,支撑;D. possess拥有。此处表示“遵守”交通规则,故选B。。\n\n\n【题干】：Whether to favor urban development or the preservation of historical sites is especially controversial in China, where there exists rich history, diversified tradition and cultural _. A. surplus B. deposits C. accounts D. receipts\n【答案】：B\n【解析】：【详解】考查名词辨析。句意:在有着丰富历史、多元传统和文化底蕴的中国,究竟是支持城市发展,还是保护历史古迹,尤其存在争议。A. surplus剩余;B. deposits底蕴;C. accounts账目;D. receipts进款,故选B。。\n\n\n【题干】：Due to the reform and opening\xadup, our living conditions, undoubtedly, have improved _ over the past decades. A. considerately B. approximately C. appropriately D. considerably\n【答案】：D\n【解析】：【详解】考查副词辨析。句意:由于改革开放,我们的生活条件,毫无疑\n######################\nOutput:'}
+16:00:02,107 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: �意:——这是你第一次到北京吗?——不,但是从我上一次到这里来,已经有三年了。This is the first time that…是固定句型,that从句中用现在完成时,排除A和B,题干中表示“上一次到北京”,是发生在过去的事情,用一般过去时,所以排除D,故选C。【点睛】特殊句式:It is the first time that …当前面是is的时候,后面使用现在完成时;当前面是was的时候,后面使用过去完成时。本题前面是is,所以用现在完成时。。\n\n\n【题干】：-I have won the first prize in singing. -_ A. Congratulations! B. That’s right. C. You can’t be serious. D. Absolutely!\n【答案】：A\n【解析】：【详解】考查情景对话。句意:——我在唱歌比赛中获得了第一名。——祝贺。A. Congratulations! 祝贺;B. That’s right.那是正确的;C. You can’t be serious. 你别当真;D. Absolutely!绝对地,根据上文内容,故选A。。\n\n\n【题干】：A great number of students by the interviewer said that they were forced to practice the piano. A. to question B. to be questioned C. questioned D. questioning\n【答案】：C\n【解析】：【详解】考查非谓语动词。句意:大量被采访者提问的学生说,他们被迫练习钢琴。question的逻辑主语是students,它们之间是被动关系,所以用过去分词作定语,故选C。。\n\n\n【题干】：—Here you are at last. How about our plane? —Well, I’ve bought the tickets. The plane _ at 2:00 this afternoon. A.\n######################\nOutput:'}
+16:00:02,180 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 是不是不信任导致了人们之间的误解和冲突。本句考查了强调句型:It is/was+被强调成分+that/who+ 其他成分;当被强调部分指人,可以使用that/who;当被强调部分不指人的时候,使用that;本句强调的是名词mistrust,没有指人,使用that强调。故D项正确。【点睛】本题考查了强调句型的用法,其具体用法如下:在英语中,我们常用It is/was… who/that结构来突出强调句子的某一成分(一般是句子中主语,宾语或状语)。在这个句型中,it没有词汇意义,只是引出被强调的成分。如果被强调的成分是表示人的词,用who或that来连接都可以。如果是其它成分,则一律用that来连接。 It was in the park that I met my old teacher yesterday. (强调地点状语) It was yesterday that I met my old teacher in the park. (强调时间状语) 二、使用本句型的几个注意事项 1.被强调成分是主语,who/that之后的谓语动词应该在人称和数上与原句中的主语保持一致。 It is I who am right. It is he who is wrong. It is the students who are lovely. 2.即使被强调成分是句子中的时间状语,地点状语,原因状语等,也不能用when,where, because,要用 that。 It was after the war was over that Einstein was able to come back to his research work again. It was in front of the bank that the old lady was robbed. It was because of the heavy rain that he came late. 3.如果被�\n######################\nOutput:'}
+16:00:02,187 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 离开。句意:他是我们班最优秀的学生,他总是埋头苦读。结合句意句子用一般现在时态,主语是单数第三人称he,故选A。。\n\n\n【题干】：The door _ open and in rushed the crowd, shouting with anger. A. pushed B. knocked C. forced D. burst\n【答案】：D\n【解析】：【详解】考查动词。A. pushed推动;B. knocked敲,撞; C. forced强迫;D. burst爆发。句意:门突然开了,人群冲了进来,愤怒地叫喊着。结合句意可知答案为D。。\n\n\n【题干】：He is a man with rich experience, from _ much can be learned. A. whom B. which C. where D. what\n【答案】：A\n【解析】：【详解】考查定语从句。句意:他是一个经验丰富的人,可以从他身上学到很多东西。此处man是先行词,指人,在后面的定语从句中作介词from的宾语,介词后面指人用from,指物用which,故选A。。\n\n\n【题干】：We will get in touch with you as soon as tickets become _. A. temporary B. obvious C. available D. qualified\n【答案】：C\n【解析】：【详解】考查形容词辨析。句意:一有票卖,我们就将联系你们。A. temporary临时的;B. obvious显然的;C. available可以利用的,可以买到的;D. qualified有资格的。故选C。。\n\n\n【题干】：You may _ my opinion on this matter, but you must tell me how you would like to deal with it. A. set off B. set up C. set aside D. set out\n【答案】：C\n######################\nOutput:'}
+16:00:02,196 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 短语be sure of缺少了介词of,从而确定先行词anything在定语从句中作介词of的宾语,故确定关系词which。。\n\n\n【题干】：A powerful hurricane struck the town of America, _ at least ten deaths. A. caused B. to cause C. causes D. causing\n【答案】：D\n【解析】：【详解】考查非谓语动词。句意:一场强烈的飓风袭击了美国小镇,造成至少十人死亡。句中用现在分词作结果状语,表示前一件事情所带来自然而然的结果。故选D。【点睛】不定式和现在分词都可以作结果状语,但两者用法有区别:1、现在分词作结果状语,通常表示一种自然的结果,即属预料之中的事。2、不定式作结果状语,主要表示没有预料到的情况或结果,即属预料之外的事,通常与副词only连用。本题根据句意可知,属于意料之外的结果,故用不定式作结果状语。。\n\n\n【题干】：—I didn’t find the way to the station. —_ I had told you about it in detail. A. How come? B. No wonder. C. No problem. D. Who cares?\n【答案】：A\n【解析】：【详解】考查交际用语。句意:——我没找到去车站的路。——怎么会这样?我已经详细地告诉过你了。A. How come? 怎么会这样?B. No wonder.怪不得。C. No problem.没问题。D. Who cares?谁在乎?故选A。。\n\n\n【题干】：—Are you allowed _ the hall at this time? —Sorry, I’m afraid not\n######################\nOutput:'}
+16:00:02,332 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 么会这样?B. No wonder.怪不得。C. No problem.没问题。D. Who cares?谁在乎?故选A。。\n\n\n【题干】：—Are you allowed _ the hall at this time? —Sorry, I’m afraid not. A. entering B. entered C. to enter D. enter\n【答案】：C\n【解析】：【详解】考查固定结构。句意:——你这个时候被允许进入大厅吗?——对不起,恐怕不能。be allowed to do sth.“被允许做某事”,故选C。。\n\n\n【题干】：When the time came to make the final decision for a course, I decided to apply for the one that _ my interest. A. limited B. reserved C. spoiled D. reflected\n【答案】：D\n【解析】：【详解】考查动词词义辨析。句意:当最终决定修哪门课的时候,我决定申请能反映我兴趣的那门课程。limit,限制;reserve保留;spoil宠坏;reflect反映,反射。结合句意可知,要选择的课程是能反应(reflect)我兴趣的那一门,reflect符合题意,其它选项不符合题意,故选D。。\n\n\n【题干】：Fortunately I _ a seat belt, otherwise I would have been injured. A. am wearing B. was wearing C. have been wearing D. have worn\n【答案】：B\n【解析】：【详解】考查虚拟语气。句意:幸运的是我系了安全带,否则我就受伤了。本题中 otherwise 表示“否则”,相当于一个虚拟条件句,其后相当于相应的主句。其中动词用了 would have done 的形式说明是与过去事实相\n######################\nOutput:'}
+16:00:02,351 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 则我就受伤了。本题中 otherwise 表示“否则”,相当于一个虚拟条件句,其后相当于相应的主句。其中动词用了 would have done 的形式说明是与过去事实相反;所以前半句讲述的是过去的事实,用过去时态,再根据句意,我当时“正系着安全带”,要用进行时,综上,故选B。【点睛】英语中表示条件时有时没有连词 if,而是用 otherwise、or、but、but for 等形式表达条件,这种类型的虚拟语气被称之为含蓄的虚拟条件。例如本题中 otherwise 表示“否则”,相当于一个虚拟条件句,所以句子遵循虚拟语气的规则。otherwise后相当于相应的主句。其中动词用了 would have done 的形式说明是与过去事实相反;所以前半句讲述的是过去的事实,用过去时态,再根据句意,我当时“正系着安全带”,要用进行时,综上,故选B。。\n\n\n【题干】：She didn\'t understand why I paid a repair man when my brother would do it for _. A. nothing B. anything C. everything D. something\n【答案】：A\n【解析】：【详解】考查不定代词。A. nothing什么也没有;B. anything任何事情; C. everything 每件事情; D. something某事。句意:她不明白为什么我要付钱给一个修理工,而我的哥哥却愿意免费做这件事。for nothing“免费”,故选A。。\n\n\n【题干】：I was wondering the discussion would end up if we kept on arguing like this aimlessly. A. what B.\n######################\nOutput:'}
+16:00:02,391 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 被动关系,所以用过去分词作定语,故选C。。\n\n\n【题干】：—Here you are at last. How about our plane? —Well, I’ve bought the tickets. The plane _ at 2:00 this afternoon. A. is going to take off B. takes off C. is to take off D. will take off\n【答案】：B\n【解析】：【详解】考查动词时态。句意:——你终于来了。我们的飞机呢?——我买了票。飞机将在下午两点起飞。表示飞机、列车等按照时刻表离开或者到达等用一般现在时,故选B。。\n\n\n【题干】：Hardly _ the house when he was caught. A. the thief had entered B. entered the thief C. had the thief entered D. was the thief entering\n【答案】：C\n【解析】：【详解】考查固定用法和倒装。句意:小偷一进房子就被抓住了。Hardly…when….为固定搭配,意为“一….就….”,此句型一般主句用过去完成时,如果半否定词hardly置于句首,句子要部分倒装。因此只有C项符合题意,故选C。。\n\n\n【题干】：He is the most excellent student in our class, and he always _ himself in his studies. A. buries B. hides C. covers D. leaves\n【答案】：A\n【解析】：【详解】考查动词。A. buries掩埋;B. hides躲藏;C. covers覆盖;D. leaves离开。句意:他是我们班最优秀的学生,他总是埋头苦读。结合句意句子用一般现在时态,主语是单数第三人称he,故选A。。\n######################\nOutput:'}
+16:00:02,415 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 工,而我的哥哥却愿意免费做这件事。for nothing“免费”,故选A。。\n\n\n【题干】：I was wondering the discussion would end up if we kept on arguing like this aimlessly. A. what B. that C. where D. which\n【答案】：C\n【解析】：【详解】考查宾语从句。句意:我想知道,如果我们继续这样漫无目的地争论下去,讨论将会有什么结果。结合句意可知此处是where引导的宾语从句,故选C。。\n\n\n【题干】：Had you listened to the doctor, you _ all right now. A. are B. were C. would have been D. would be\n【答案】：D\n【解析】：【详解】考查if引导的虚拟语气。句意:如果你听了医生的话,你现在就好了。此处是省略if的混合条件句,从句与过去的事实相反,主句与现在的事实相反,从句:If+主语+had+done主句,主语+ should/would/might/could+do。故选D。【点睛】If引导的虚拟语气: 1.表示与现在事实相反的情况 从句:If+主语+动词一般过去时(Be动词用were)主句:主语+ should/would/might/could+do:If I were you,I would take an umbrella.如果我是你,我会带把伞。(事实:我不可能是你) 2.表示与过去事实相反的情况 从句:If+主语+had+done主句:主语+should/would/might/could+have done:If I had got there earlier,I should/would have met her.如果我早到那儿,我就会见到她\n######################\nOutput:'}
+16:00:02,589 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 。句意:不管怎样,我们都应该进行有规则的运动,这些运动可以帮助使你看起来好,感觉好并且很健康。anyhow意为无论如何,不管怎样;somehow意为不知怎么地。根据句意可知前一个空用Anyhow。后一个空考查的是定语从句的引导词,先行词为something,属于不定代词,定语从句中缺少主语,所以用that引导。综上所述,故选A项。。\n\n\n【题干】：Don’t cross the street before the traffic _ turns to green light. A. notice B. signal C. symbol D. mark\n【答案】：B\n【解析】：【详解】考查名词辨析。句意:在交通信号变为绿灯之前不要过马路。notice通知,公告;signal信号;symbol符号,象征;mark标志。此处指信号灯,故选B。。\n\n\n【题干】：In this game you\'re supposed to work together as a team and solve the problems as they_. A. rose B. raise C. rise D. arise\n【答案】：D\n【解析】：【详解】考查动词辨析。句意:在这场比赛中,你们应该像团队一样协作,当有问题产生的时候解决它们。rose是rise的过去式,意为"起来,上升,上涨"。raise意为"筹集,升起,提高",rise意为"起来,上升,上涨",arise意为"产生"。故选D。。\n\n\n【题干】：You can use this room for your club activities tomorrow _ you keep it tidy and clean. A. for fear that B. on condition that C. in case D. even if\n【答案】：B\n【解析】：【详\n######################\nOutput:'}
+16:00:02,608 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: ,意思完整,那么,这就是一个强调句型。 四、强调句型也有疑问句形式.一般疑问句的强调形式,只需将is/was提前,移至句首即可,即:"Is/Was it…that…".特殊疑问句的强调形式, 须将陈述句变成一般疑问句, 再在句首加上疑问词, 即"疑问词 (被强调部分) +is/was + it + that + 句子其余部分". 如: Was it last year that the building was completed How was it that he went to school 哲理性,故常用一般现在时. 例如: It\'s a wise father who knows his own child.无论多聪明的父亲也不见得了解自己的孩子." It\'s an ill wind that blows nobody(any)good.此失则彼得(没有使所有的人都受害的坏事).。\n\n\n【题干】：Investigators urged that safety procedures at the construction site _ as soon as possible. A. would improve B. were improved C. improved D. be improved\n【答案】：D\n【解析】：【详解】考查虚拟语气。句意:调查人员敦促建筑工地上的安全操作要尽早改善。动词urge后的宾语从句要使用“should+动词原形”的虚拟语气,其中should可以省略。本句主语safety procedures at the construction site与improve构成被动关系,要用被动语态,句中还省略了should。故D项正确。。\n\n\n【题干】：My son, Ben, had got in touch, he’d moved to England with his mum when he was three and it had been 13 years since I’d last seen him. So imagine my _ when he emailed\n######################\nOutput:'}
+16:00:02,639 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 资格的。故选C。。\n\n\n【题干】：You may _ my opinion on this matter, but you must tell me how you would like to deal with it. A. set off B. set up C. set aside D. set out\n【答案】：C\n【解析】：【详解】考查动词词组词义辨析。句意:你可以对我在这件事上的观点置之不理,但是你必须告诉我你将如何处理。A. set off出发,引爆;B. set up建立;C. set aside把……放在一边;D. set out开始,着手。故选C。。\n\n\n【题干】：“Never teach a child anything _ you are not sure yourself”, said the expert to the parents. A. that B. what C. of which D. which\n【答案】：C\n【解析】：【详解】考查定语从句。句意:专家对父母说:“不要将你自己都没有把握的东西教给孩子。”句中先行词anything,在定语从句中作短语be sure of中介词of的宾语,故用关系代词which引导。故选C。【点睛】分析定语从句关键抓住两点:第一、找准先行词;第二、看先行词在定语从句中所作的成分。先行词往往为名词或代词,如本题中先行词为不定代词anything,再分析先行词anything在定语从句中所作的成分。题中的关键在于考生要知道从句中短语be sure of缺少了介词of,从而确定先行词anything在定语从句中作介词of的宾语,故确定关系词which。。\n\n\n【题干】：A powerful hurricane struck the town of\n######################\nOutput:'}
+16:00:02,750 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: . considerately B. approximately C. appropriately D. considerably\n【答案】：D\n【解析】：【详解】考查副词辨析。句意:由于改革开放,我们的生活条件,毫无疑问,在过去的几十年里有了很大的改善。A. considerately体谅地; B. approximately大约;C. appropriately适当地;D. considerably相当地,故选D。。\n\n\n【题干】：Peterson, a great archaeologist, said: “Archaeologists have been extremely patient because we were led to believe that the ministry was _ this problem, but we feel that we can\'t wait any longer.” A. looking out B. bringing out C. carrying out D. sorting out\n【答案】：D\n【解析】：【详解】考查动词短语辨析。句意:Peterson是一位伟大的考古学家,他说:“考古学家一直非常有耐心,因为我们被误导,认为政府的部门正在解决这个问题,但我们觉得我们不能再等下去了。” A. looking out当心;B. bringing out出版;C. carrying out实施;D. sorting out解决,故选D。。\n\n\n【题干】：In my driving lesson, a traffic rule that impressed me most is that in no time _ when the traffic lights turn red. A. all vehicles should stop B. should all vehicles stop C. should stop all vehicles D. should stop all vehicles\n【答案】：A\n【解析】：【详解】考查倒装。句意:在我的驾驶课上,给我印象最深的一条交通规则是,当交通灯变红时,所有的车辆都应该立即停车。in no time放句首不需要倒装,因为不是否定词,而是“立即”的意思。如果是表示否定意义的词,如in no case,in no way,by no means\n######################\nOutput:'}
+16:00:02,840 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 用when,where, because,要用 that。 It was after the war was over that Einstein was able to come back to his research work again. It was in front of the bank that the old lady was robbed. It was because of the heavy rain that he came late. 3.如果被强调的成分有同位语,同位语也应提前。 It was from him,his chemistry teacher,that Paul learned to watch carefully in class. 4.被强调成分是充当主语的代词,用主格,是作宾语的代词,用宾格 It was he that helped me yesterday. It was me that he helped yesterday. 5.被强调部分既包括人又包括物,用that不用who lt was the things and people that they remembered that they were talking about. 6.在强调结构中,无论被强调的是人还是物,是单数还是复数,be动词一律用is/was形式,如果原句的谓语动词是一般过去时,就用was;如果是一般现在时,就用is.也可以用"情态动词+be"形式.如: It might be yesterday that John bought a book for Mary. 三、区分定语从句和强调句型某些定语从句和强调句型形式差不多,容易混淆。如果去掉it is/ was ...that句子仍然通顺成立,则为强调句型,不成立不通顺,则为定语从句。 It was three years ago that he went to American for a further study. 去掉It was that句子为Three years ago he went to America for a further study.句子通顺,意思完整,那么,这就是一个强调句型。 四、强调句型也有疑问句形式.一般疑问句的强调形式,只需将is/was提\n######################\nOutput:'}
+16:00:02,972 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: � 从句:If+主语+had+done主句:主语+should/would/might/could+have done:If I had got there earlier,I should/would have met her.如果我早到那儿,我就会见到她。(事实:去晚了) 3.表示与将来事实相反 从句:①if+主语+were to do②if+主语+should+do③if+主语+动词一般过去式(be动词用were)主句:主语+should/would/might/could+do:If he should come here tomorrow,I would talk to him.如果他明天来这儿的话,我就跟他谈谈。(事实:来的可能性很小,不可能)。\n\n\n【题干】：The\u2002examiner\u2002made\u2002us\u2002_our\u2002identification\u2002in\u2002order\u2002to\u2002be\u2002admitted\u2002to\u2002the\u2002text\u2002center. A. showing B. show C. showed D. to show\n【答案】：B\n【解析】：【详解】这里考查的是make复合结构。句意:考官要求我们出示身份证件以便被允许进入考试中心。"make+宾语+do sth.(不带to的不定式)"意为"使某人做某事"。故选B。。\n\n\n【题干】：_, we should take regular exercise, something _ can help to make you look good, feel good and be healthy. A. Anyhow; that B. Anyhow; which C. Somehow; which D. Somehow; that\n【答案】：A\n【解析】：【详解】考查副词及定语从句。句意:不管怎样,我们都应该进行有规则的运动,这些运动可以帮助使你看起来好,感觉好并且很健康。anyhow意为无论如何,不管\n######################\nOutput:'}
+16:00:02,974 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 的车辆都应该立即停车。in no time放句首不需要倒装,因为不是否定词,而是“立即”的意思。如果是表示否定意义的词,如in no case,in no way,by no means,意为“绝不”, 放在句首是要倒装的。故本题选A。。\n\n\n【题干】：Frankly speaking, I am not sure whether I _ this in the old days with that kind of equipment, which looks quite odd and ridiculous. A. should have done B. need have done C. would have done D. must have done\n【答案】：C\n【解析】：【详解】考查情态动词+have done。句意:坦率地说,我不确定在过去我是否会用这种设备做这件事,这看起来很奇怪和可笑。A. should have done表示本应该做某事,而实际上没有做某事;B. need have done表示本来需要做某事而没有做;C. would have done虚拟语气,表示对过去事情的假设,意思是“本来会做”;D. must have done表示对过去事情的肯定推测,译成“一定做过某事”。由“in the old days”可知,本句表示对过去事情的假设。故选C项。。\n\n\n【题干】：-Is this the first time you _ Beijing? -No. But it has been 3 years since I last here. A. visit; come B. visited; came C. have visited; came D. have visited; come\n【答案】：C\n【解析】：【详解】考查固定句型和时态。句意:——这是你第一次到北京吗?——不,但是从我上一次到这里来,已经有三年了。This is the first time that…是固定句型,that从句中用现在完成时,排\n######################\nOutput:'}
+16:00:03,124 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 须,故第一个空用shall。inspiration后面是定语从句,关系代词省略,定语从句还缺少主语the poem,用it特指前面的that poem,故选C。。\n\n\n【题干】：—I can’t think why he _ so angry. I meant no offence. —It’s typical of him to be sensitive. A. must have been B. should have been C. might have been D. can have been\n【答案】：B\n【解析】：【详解】考查情态动词+have done结构。句意:——我想不出他为什么这么生气。我无意冒犯。——敏感是他的特点。A. must have been对过去事实肯定的推测;B. should have been本应该做某事,而实际没有做;C. might have been表示一种可能性,一种推测;D. can have been表示推测,题干中表示“本应该做某事,而实际没有做”,故选B。。\n\n\n【题干】：It’s required that the football match _ put off _ the bad weather. A. be; because of B. would be; due to C. be; thanks to D. was; owing to\n【答案】：A\n【解析】：【详解】考查虚拟语气。句意:由于天气不好,足球比赛被推迟了。require要求,从句用should + v原形的虚拟语气,should可以省略。A. be; because of因为;B. would be; due to 由于;C. be; thanks to 多亏了;D. was; owing to由于。because of“因为”表示一种原因;thanks to“多亏了”表示感激。故选A。。\n\n\n【题干】：Madame Curie, for _ life had once been very hard, was successful later. A. whom B. whose C.\n######################\nOutput:'}
+16:00:03,217 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: because of“因为”表示一种原因;thanks to“多亏了”表示感激。故选A。。\n\n\n【题干】：Madame Curie, for _ life had once been very hard, was successful later. A. whom B. whose C. which D. that\n【答案】：A\n【解析】：【详解】考查定语从句。句意:居里夫人的生活曾经很艰难,但后来成功了。这道题容易受思维定势的影响认为whose life是一个整体,但如果是whose life,则定语从句没有主语了,B错;定语从句的主语应该是life,本句可以改写为:life had once been very hard for her,所以在定语从句中介词for缺少了一个宾语。故选A。。\n\n\n【题干】：My money _. I must go to the bank to draw some of my savings out before I’ve none in hand. A. has run out B. is running out C. was running out D. runs out\n【答案】：B\n【解析】：【详解】考查时态和语态。句意:我的钱快花光了。我得先到银行把一些存款取出来,否则我手头就没有存款了。从后句可知,我手头还有一点钱,但很快要用完了,故用B项,进行时表示将来时。run out不用被动语态。故选B。。\n\n\n【题干】：His family was in Pakistan for a wedding two weeks ago. They were supposed to leave on Sunday, but were unable to flight delays. A. as for B. in addition to C. due to D. in spite of\n【答案】：C\n【解析】：【详解】考查介词短语搭配。句意:两周前,他的家人去巴基斯坦参加一个婚礼。他\n######################\nOutput:'}
+16:00:03,263 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: spite of\n【答案】：C\n【解析】：【详解】考查介词短语搭配。句意:两周前,他的家人去巴基斯坦参加一个婚礼。他们本应该周日离开的,但是因为航班延误而未能离开。根据语境可知,此处表示“由于航班延误”。as for至于;in addition to除了;due to由于,应归于;in spite of不管,不顾。结合选项可知,C选项正确,故选C。【点睛】介词短语的固定搭配在一个句子中扮演着承上启下的重要作用,这些固定搭配只要平时记牢固了,考试也就没那么大难度了。如题目中,as for至于;in addition to除了;due to由于,应归于;in spite of不管,不顾。结合句意,分析四个选项短语意思,便可选出正确选项。。\n\n\n【题干】：The movie once _ a whole generation of people. It was proved to be of much _ in the education of people. A. affected; effect B. effected; affect C. effected; effect D. affected; affect\n【答案】：A\n【解析】：【详解】考查动词和名词词性。句意:这部电影曾经影响了整整一代人。它被证实对育人有很大的影响。affect v.影响;effect n.影响,结果。根据句意并分析句子结构可知,第一空在句中作谓语,故填动词affected;第二空,介词of后用名词,故填effect。结合选项可知,A项正确。故选\n######################\nOutput:'}
+16:00:03,265 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 反的假设 过去时(was→were) would/could/might/should do 与将来事实相反的假设 过去时 (was→were ) ; should do; were to do would/could/might/should do 本句表示与过去事实相反的假设。主句谓语动词形式would/could/might/should have done,条件从句的谓语动词形式had done。故D选项正确。。\n\n\n【题干】：Without electricity, human life quite difficult today. A. would be B. will be C. would have been D. is\n【答案】：A\n【解析】：【详解】考查虚拟语气。句意:没有电,人类今天的生活将会相当困难。虚拟语气中的“含蓄之美”指的是含蓄虚拟语气。因为有时假设的情况并不是以if引导的条件从句形式出现,而是通过一些短语等形式暗示虚拟语气的存在,常用的词语有with, without, but for, otherwise, or,even, in case of, what if(如果…将如何)等等,这种句子往往有主句而无从句。由“today”可知,表示的是与现在事实相反的假设,所以主语从句谓语形式为would be。故A选项正确。。\n\n\n【题干】：How I wish I to repair the watch! I only made it worse. A. had tried B. hadn\'t tried C. have tried D. didn\'t try\n【答案】：B\n【解析】：【详解】考查虚拟语气。句意:我多么希望我没有去修理那块表!我只让事情变得更糟了。动词wish后接宾语从句时,从句谓语要\n######################\nOutput:'}
+16:00:03,441 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 故选D。。\n\n\n【题干】：You can use this room for your club activities tomorrow _ you keep it tidy and clean. A. for fear that B. on condition that C. in case D. even if\n【答案】：B\n【解析】：【详解】考查固定短语辨析。句意:如果你保持房间整洁,明天你可以用这个房间进行俱乐部活动。题干中表示“如果…”,A. for fear that唯恐;B. on condition that如果;C. in case万一;D. even if即使,故选B。。\n\n\n【题干】：You can’t imagine what great difficulty they had _ the old man to move out of the old house. A. persuaded B. to persuade C. with persuading D. persuading\n【答案】：D\n【解析】：【详解】考查固定句型。句意:你无法想象他们说服老人搬出那所旧房子有多大的困难。have difficulty (in) doing sth.做某事有困难,该句型是固定句型,故选D。。\n\n\n【题干】：Never _ forget that poem and the inspiration _ provided for my first novel. A. can I; which B. will I; that C. shall I; it D. must I; what\n【答案】：C\n【解析】：【详解】考查情态动词和定语从句。句意:我永远不会忘记那首诗和它为我的第一部小说提供的灵感。Can表示能够;will 表示将要;shall 用于第一人称,则表示决心;must 必须,故第一个空用shall。inspiration后面是定语从句,关系代词省略,定语从句还缺少主语the poem,用it特指前面的that poem,故选C。。\n\n\n【题�\n######################\nOutput:'}
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+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffd\u7684\u5173\u7cfb\u4ee3\u8bcdthat\u9664\u4e86\u8fde\u63a5\u4e3b\u53e5\u548c\u4ece\u53e5\u4e4b\u5916,\u5728\u4ece\u53e5\u4e2d\u4f5c\u4e00\u5b9a\u6210\u5206,\u6709\u65f6\u53ef\u7701\u7565\u3002 Along with the letter was his promise that he would visit me this coming Christmas.\u968f\u4fe1\u4e00\u8d77\u6765\u7684\u662f\u4ed6\u7684\u627f\u8bfa,\u4ed6\u8bf4\u4f1a\u5728\u5373\u5c06\u5230\u6765\u7684\u5723\u8bde\u8282\u6765\u770b\u6211\u3002(\u540c\u4f4d\u8bed\u4ece\u53e5\u4e2d\u7684that\u4e0d\u505a\u4efb\u4f55\u6210\u5206) The suggestion (that) he made at the meeting was very right.\u4ed6\u5728\u4f1a\u8bae\u4e0a\u7ed9\u51fa\u7684\u5efa\u8bae\u662f\u6b63\u786e\u7684\u3002(\u6b64\u5b9a\u8bed\u4ece\u53e5\u4e2d\u7684that\u5728\u4ece\u53e5\u4e2d\u4f5c\u5bbe\u8bed,\u53ef\u4ee5\u7701\u7565) 2)\u4ece\u8bed\u4e49\u89d2\u5ea6\u6765\u770b,\u540c\u4f4d\u8bed\u4ece\u53e5that\u5f15\u5bfc\u7684\u4ece\u53e5\u5728\u53e5\u4e2d\u89e3\u91ca\u8bf4\u660e\u524d\u9762\u7684\u540d\u8bcd,\u800c\u5b9a\u8bed\u4ece\u53e5\u4e2dthat\u5f15\u5bfc\u7684\u4ece\u53e5\u5219\u662f\u8d77\u5230\u4fee\u9970\u9650\u5b9a\u5148\u884c\u8bcd\u7684\u4f5c\u7528\u3002 The news that we are having a holiday tomorrow is not true.\u660e\u5929\u653e\u5047\u7684\u6d88\u606f\u4e0d\u5b9e\u3002(that\u5f15\u5bfc\u7684\u4ece\u53e5\u8bf4\u660enews\u7684\u5185\u5bb9) He lost his money that had been saved for a long time.\u4ed6\u4e22\u4e86\u5b58\u4e86\u5f88\u4e45\u7684\u94b1\u3002(that\u5f15\u5bfc\u7684\u5b9a\u8bed\u4ece\u53e5,\u4fee\u9970\u9650\u5b9a\u5148\u884c\u8bcdmoney)\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aNowadays many parents tend to be tolerant _ their children\u2019s choices of majors at university. A. as a consequence of B. regardless of C. in regard to D. at the mercy of\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ecb\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. as a consequence of\u7ed3\u679c;B. regardless of\u4e0d\u7ba1;C. in regard to\u5173\u4e8e;D. at the mercy of\u652f\u914d\u3002\u53e5\u610f:\u5982\u4eca,\u8bb8\u591a\u7236\u6bcd\u5bf9\u5b50\u5973\u9009\u62e9\u5927\u5b66\u4e13\u4e1a\u6301\u5bbd\u5bb9\u6001\u5ea6\u3002\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMary worked here as a _ secretary and ended up _ a full-time job with the company. A. admirable; getting B. temporary; getting C. previous; to get D. cautious; to get\n\u3010\u7b54\u6848\u3011\uff1aB\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: make a forest\u72ec\u6728\u4e0d\u6210\u6797;B. Where there\u2019s life, there\u2019s hope\u6709\u751f\u547d\u5c31\u6709\u5e0c\u671b;C. One false step will make a great difference\u5931\u4e4b\u6beb\u5398,\u8c2c\u4e4b\u5343\u91cc;D. Never put off till tomorrow what you can do today\u4eca\u65e5\u4e8b,\u4eca\u65e5\u6bd5\u3002\u7531\u8bed\u5883I told you to be careful before.\u53ef\u77e5,\u7b54\u6848\u4e3aC\u3002\u6545C\u9009\u9879\u6b63\u786e\u3002.\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMuch to my _, my vocabulary has expanded a great deal. A. delighting B. delighted C. delight\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u56fa\u5b9a\u7528\u6cd5\u3002\u53e5\u610f:\u4ee4\u6211\u9ad8\u5174\u7684\u662f,\u6211\u7684\u8bcd\u6c47\u91cf\u5927\u5927\u589e\u52a0\u4e86\u3002\u201cmuch to +\u540d\u8bcd\u201d\u4e3a\u56fa\u5b9a\u7528\u6cd5,\u610f\u4e3a\u201c\u4f7f\u67d0\u4eba\u2026\u2026\u201d,\u56e0\u6b64\u672c\u5c0f\u9898\u8981\u7528\u540d\u8bcd\u5f62\u5f0f\u3002\u5206\u6790\u9009\u9879:delighting \u611f\u5230\u9ad8\u5174\u7684,\u4e00\u822c\u4fee\u9970\u7269;delighted\u9ad8\u5174\u7684; \u6b23\u559c\u7684,\u4e00\u822c\u4fee\u9970\u4eba;delight\u5feb\u4e50,\u9ad8\u5174\u3002\u7531\u9009\u9879\u53ef\u77e5,A\u4e0eB\u90fd\u662f\u5f62\u5bb9\u8bcd,\u53ea\u6709C\u662f\u540d\u8bcd,\u7b26\u5408\u9898\u610f,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe book _ through the air to Aunt Dede and she began to read it aloud. A. got B. pushed C. sailed\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8fa8\u6790\u3002got\u5f97\u5230;pushed\u63a8;sailed\u63a0,\u98d8,\u6d6e\u6e38\u3002\u5206\u6790\u8bed\u5883\u53ef\u77e5,\u672c\u53e5\u662f\u6307\u201c\u90a3\u672c\u4e66\u5728\u7a7a\u4e2d\u4f20\u5230(\u98d8\u5411)\u9edb\u5fb7\u59d1\u5988\u90a3,\u5979(\u62ff\u8fc7\u4e66)\u5f00\u59cb\u5927\u58f0\u6717\u8bfb\u201d\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHe has been sent to the place _ needs him most. A. where B. that C. what D. it\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5b9a\u8bed\u4ece\u53e5\u3002\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u3002\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMary worked here as a _ secretary and ended up _ a full-time job with the company. A. admirable; getting B. temporary; getting C. previous; to get D. cautious; to get\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u53ca\u56fa\u5b9a\u642d\u914d\u3002A. admirable\u4ee4\u4eba\u7fa1\u6155\u7684;B. temporary\u4e34\u65f6\u7684;C. previous\u5148\u524d\u7684;D. cautious\u8c28\u614e\u7684\u3002\u53e5\u610f:\u739b\u4e3d\u4f5c\u4e3a\u4e00\u4e2a\u4e34\u65f6\u79d8\u4e66\u5728\u8fd9\u91cc\u5de5\u4f5c,\u6700\u7ec8\u5728\u8fd9\u5bb6\u516c\u53f8\u5f97\u5230\u4e00\u4efd\u5168\u804c\u5de5\u4f5c\u3002\u56fa\u5b9a\u642d\u914d:end up doing sth. \u201c\u6700\u7ec8\u505a\u67d0\u4e8b\u201d\u3002\u6545B\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIt was obvious that there was _ between accounts of the witnesses for the murder case, so the judgment was not announced in court. A. security B. relation C. conflict D. revision\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8fa8\u6790\u3002A. security\u5b89\u5168;B. relation\u5173\u7cfb;C. conflict\u51b2\u7a81;D. revision\u590d\u4e60\u3002\u53e5\u610f:\u5f88\u660e\u663e,\u8c0b\u6740\u6848\u76ee\u51fb\u8005\u7684\u53d9\u8ff0\u6709\u51b2\u7a81,\u6240\u4ee5\u6cd5\u5ead\u6ca1\u6709\u5ba3\u5e03\u5224\u51b3\u3002\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a\u2014 Tom, what a pity! I almost succeeded yesterday. \u2014_. I told you to be careful before. A. One tree does not make a forest B. Where there\u2019s life, there\u2019s hope C. One false step will make a great difference D. Never put off till tomorrow what you can do today\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8c1a\u8bed\u8fa8\u6790\u3002A. One tree does not make a forest\u72ec\u6728\u4e0d\u6210\u6797;B. Where there\u2019s life, there\u2019s hope\u6709\u751f\u547d\u5c31\u6709\u5e0c\u671b;C. One false step will make a great difference\u5931\u4e4b\u6beb\u5398,\u8c2c\u4e4b\u5343\u91cc;D. Never put off till tomorrow what\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u8bfb\u201d\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHe has been sent to the place _ needs him most. A. where B. that C. what D. it\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5b9a\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u4ed6\u5df2\u7ecf\u88ab\u6d3e\u5230\u6700\u9700\u8981\u4ed6\u7684\u5730\u65b9\u4e86\u3002\u672c\u9898\u5b9a\u8bed\u4ece\u53e5\u7684\u5148\u884c\u8bcd\u662fthe place,\u5b9a\u8bed\u4ece\u53e5\u4e2d\u7f3a\u5c11\u4e3b\u8bed,\u8981\u7528\u5173\u7cfb\u4ee3\u8bcdthat\u6307\u4ee3\u5148\u884c\u8bcd,\u5f15\u5bfc\u5b9a\u8bed\u4ece\u53e5\u5e76\u5728\u53e5\u4e2d\u505a\u4e3b\u8bed\u3002CD\u9879\u4e0d\u80fd\u5f15\u5bfc\u5b9a\u8bed\u4ece\u53e5,where\u8981\u5728\u53e5\u4e2d\u505a\u72b6\u8bed\u3002\u6545B\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u672c\u9898\u8003\u67e5\u4e86\u5173\u7cfb\u4ee3\u8bcdthat\u7684\u7528\u6cd5,that\u662f\u6bd4\u8f83\u5e38\u89c1\u7684\u5173\u7cfb\u4ee3\u8bcd,\u5e76\u4e14\u6709\u7684\u65f6\u5019\u662f\u53ea\u80fd\u7528that\u3002\u63a5\u4e0b\u6765\u5c31\u770b\u770b\u65f6\u5019\u53ea\u7528that\u7684\u60c5\u51b5\u3002 1\u5f53\u5148\u884c\u8bcd\u662fanything,everything,nothing,few,all,alone,little,some\u7b49\u6307\u4eba\u6216\u7269\u7684\u4ee3\u8bcd\u65f6\u3002\u6216\u8005\u662f\u6709\u8bf8\u5982every,any,all,no,much\u7b49\u8bcd\u4fee\u9970\u65f6\u3002 There seems to be nothing that can help you. \u4f3c\u4e4e\u6ca1\u6709\u4efb\u4f55\u4e8b\u53ef\u4ee5\u5e2e\u4f60\u3002(nothing \u51fa\u73b0) B. All that can be applied in the research have been rejected. \u6240\u6709\u80fd\u88ab\u8fd0\u7528\u4e8e\u7814\u7a76\u7684\u90fd\u88ab\u5426\u51b3\u4e86\u3002(all\u7684\u51fa\u73b0) 2 \u5f53\u5148\u884c\u8bcd\u65e2\u6709\u4eba\u4e5f\u6709\u4e8b\u7269\u3002 A. The talked the people and things in the bar that they remember. \u4ed6\u4eec\u8c08\u8bba\u7740\u4ed6\u4eec\u8bb0\u8d77\u7684\u9152\u5427\u7684\u4eba\u548c\u4e8b\u3002(\u4eba\u548c\u7269\u7684\u51fa\u73b0) 3 \u6709\u5f62\u5bb9\u8bcd\u6700\u9ad8\u7ea7\u4fee\u9970\u5148\u884c\u8bcd\u65f6\u3002 This is the best hotel in the city that I know. \u8fd9\u662f\u6211\u6240\u77e5\u9053\u7684\u57ce\u5e02\u91cc\u6700\u597d\u7684\u65c5\u9986\u3002(best \u4e3a\u6700\u9ad8\u7ea7) 4.\u5e8f\u6570\u8bcd\u4fee\u9970\u5148\u884c\u8bcd\u65f6\u3002 The first time that they meet together\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: several months and it made farmers _ about the harvest. A. astonished B. anxious C. eager D. busy\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u5e72\u65f1\u5df2\u7ecf\u6301\u7eed\u4e86\u51e0\u4e2a\u6708,\u519c\u6c11\u4eec\u5bf9\u6536\u6210\u611f\u5230\u7126\u8651\u3002A. astonished\u60ca\u8bb6\u7684;B. anxious\u7126\u8651\u7684;C. eager\u6e34\u671b\u7684;D. busy\u7e41\u5fd9\u7684\u3002be anxious about\u201c\u5bf9\u2026\u2026\u611f\u5230\u7126\u8651\u201d,\u5e72\u65f1\u4f1a\u5f71\u54cd\u6536\u6210,\u519c\u6c11\u4eec\u81ea\u7136\u4f1a\u611f\u5230\u7126\u8651,\u6545B\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe atmosphere gets thinner and thinner _ the height increases. A. while B. since C. as D. for\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fde\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u968f\u7740\u9ad8\u5ea6\u7684\u589e\u52a0,\u5927\u6c14\u53d8\u5f97\u8d8a\u6765\u8d8a\u7a00\u8584\u3002A. while\u5f53\u2026\u2026\u65f6;B. since\u81ea\u4ece\u2026\u2026\u4ee5\u6765;C. as\u968f\u7740\u2026\u2026;D. for\u56e0\u4e3a\u3002\u8fd9\u91cc\u8868\u793a\u4f34\u968f,\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aBy the time he was 4 years old, he _ 100 English words. A. learns B. will have learned C. has learned D. had learned\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fc7\u53bb\u5b8c\u6210\u65f6\u3002\u53e5\u610f:\u5230\u4ed64\u5c81\u7684\u65f6\u5019,\u4ed6\u5df2\u7ecf\u5b66\u4f1a\u4e86100\u4e2a\u82f1\u8bed\u5355\u8bcd\u3002by the time\u5f15\u5bfc\u7684\u65f6\u95f4\u72b6\u8bed\u4ece\u53e5,\u4ece\u53e5\u8fc7\u53bb\u65f6,\u4e3b\u53e5\u7528\u8fc7\u53bb\u5b8c\u6210\u65f6\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011by the time\u610f\u4e3a\u201c\u5230\u2026\u2026\u65f6\u5019(\u4e3a\u6b62)\u201d,\u662f\u4e00\u4e2a\u4ecb\u8bcd\u77ed\u8bed,\u5728\u53e5\u4e2d\u7ecf\u5e38\u8d77\u8fde\u8bcd\u4f5c\u7528,\u5f15\u5bfc\u65f6\u95f4\u72b6\u8bed\u4ece\u53e5\u3002\u5b83\u7684\u4e3b\u8981\u7528\u6cd5\u5982\u4e0b: 1. \u5982\u679c\u4ece\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u662f\u4e00\u822c\u8fc7\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u3010\u9898\u5e72\u3011\uff1aChina Daily is _a newspaper, for it also can serve as a useful textbook for English study. A. more than B. more or less C. less than D. no more than\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8bcd\u7ec4\u3002A. more than\u8d85\u8fc7,\u4e0d\u4ec5\u4ec5\u662f;B. more or less\u6216\u591a\u6216\u5c11;C. less than\u5c11\u4e8e; D. no more than\u4ec5\u4ec5\u3002\u53e5\u610f:\u4e2d\u56fd\u65e5\u62a5\u4e0d\u4ec5\u662f\u4e00\u4efd\u62a5\u7eb8,\u5b83\u8fd8\u53ef\u4ee5\u5e2e\u6211\u4eec\u63d0\u9ad8\u82f1\u8bed\u6c34\u5e73\u3002more than\u540e\u63a5\u540d\u8bcd\u8868\u793a\u201c\u4e0d\u4ec5\u4ec5\u662f\u201d\u3002\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aDue to frequent layoffs, there is anxiety among the employees _ they may one day be out of work. A. when B. how C. why D. that\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fde\u8bcd\u3002A. when\u5f53\u2026\u2026\u7684\u65f6\u5019;B. how\u5982\u4f55,\u600e\u4e48;C. why\u4e3a\u4ec0\u4e48;D. that(\u5f15\u5bfc\u540d\u8bcd\u6027\u4ece\u53e5,\u4e0d\u505a\u53e5\u5b50\u6210\u5206,\u53ea\u8d77\u8fde\u63a5\u4f5c\u7528)\u3002\u53e5\u610f:\u7531\u4e8e\u9891\u7e41\u7684\u88c1\u5458,\u5458\u5de5\u4eec\u62c5\u5fc3\u6709\u4e00\u5929\u4f1a\u5931\u4e1a\u3002\u6839\u636e\u53e5\u610f\u53ca\u53e5\u5b50\u7ed3\u6784\u5206\u6790\u53ef\u77e5,\u6b64\u5904\u4e3aanxiety\u7684\u540c\u4f4d\u8bed\u4ece\u53e5,\u4ece\u53e5\u53e5\u5b50\u6210\u5206\u9f50\u5168,\u5e94\u4f7f\u7528that\u5f15\u5bfc\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011that\u5f15\u5bfc\u540c\u4f4d\u8bed\u4ece\u53e5\u548c\u5b9a\u8bed\u4ece\u53e5\u7684\u533a\u522b: 1)\u4ece\u53e5\u6cd5\u89d2\u5ea6\u6765\u770b,\u5f15\u5bfc\u540c\u4f4d\u8bed\u4ece\u53e5\u7684\u8fde\u8bcdthat\u53ea\u8d77\u8fde\u63a5\u4f5c\u7528,\u5728\u4ece\u53e5\u4e2d\u4e0d\u4f5c\u4efb\u4f55\u6210\u5206,\u4f46\u4e0d\u53ef\u4ee5\u7701\u7565;\u800c\u5f15\u5bfc\u5b9a\u8bed\u4ece\u53e5\u7684\u5173\u7cfb\u4ee3\u8bcdthat\u9664\u4e86\u8fde\u63a5\u4e3b\u53e5\u548c\u4ece\u53e5\u4e4b\u5916,\u5728\u4ece\u53e5\u4e2d\u4f5c\u4e00\u5b9a\u6210\u5206,\u6709\u65f6\u53ef\u7701\u7565\u3002 Along with the letter was his promise that he would visit me this coming Christmas.\u968f\u4fe1\u4e00\u8d77\u6765\u7684\u662f\u4ed6\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u65f6\u3002 This is the best hotel in the city that I know. \u8fd9\u662f\u6211\u6240\u77e5\u9053\u7684\u57ce\u5e02\u91cc\u6700\u597d\u7684\u65c5\u9986\u3002(best \u4e3a\u6700\u9ad8\u7ea7) 4.\u5e8f\u6570\u8bcd\u4fee\u9970\u5148\u884c\u8bcd\u65f6\u3002 The first time that they meet together was yesterday. \u4ed6\u4eec\u7b2c\u4e00\u6b21\u9047\u89c1\u662f\u5728\u6628\u5929\u3002(first \u7684\u51fa\u73b0) 5\u5f53the only,the very\u51fa\u73b0\u65f6\u3002 Before he falls in love Amanda, the only thing that he cared is himself. \u5728\u4ed6\u7231\u4e0aAmanda\u4e4b\u524d,\u4ed6\u552f\u4e00\u5728\u610f\u7684\u662f\u4ed6\u81ea\u5df1\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWe were _ on our way to the airport because of the heavy snow. A. held up B. held out C. held back D. held with\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u77ed\u8bed\u8fa8\u6790\u3002A. held up\u4e3e\u8d77,\u652f\u6491;\u963b\u6321;\u5ef6\u8bef;B. held out\u4f38\u51fa,\u575a\u6301;C. held back\u963b\u788d,\u9690\u85cf,\u514b\u5236;D. held with\u8d5e\u6210;\u53e5\u610f:\u56e0\u4e3a\u5927\u96ea,\u6211\u4eec\u88ab\u5ef6\u8bef\u5728\u53bb\u673a\u573a\u7684\u8def\u4e0a\u3002\u6839\u636e\u53e5\u610f\u53ef\u77e5A\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThere is little doubt _ the Internet is a great inventionin human history. A. whether B. that C. which D. what\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540c\u4f4d\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u6beb\u65e0\u7591\u95ee,\u5728\u4eba\u7c7b\u5386\u53f2\u4e0a\u56e0\u7279\u7f51\u662f\u4e00\u9879\u4f1f\u5927\u7684\u53d1\u660e\u3002\u53e5\u4e2d\u540c\u4f4d\u8bed\u4ece\u53e5that the Internet is a great invention in human history\u5bf9\u540d\u8bcd\u77ed\u8bedlittle doubt\u8fdb\u884c\u89e3\u91ca\u8bf4\u660e,that\u5728\u53e5\u4e2d\u4e0d\u5145\u5f53\u4efb\u4f55\u6210\u5206,\u53ea\u662f\u4e00\u4e2a\u5f15\u5bfc\u8bcd\u3002\u6545B\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u672c\u9898\u8003\u67e5\u4e86\u540c\u4f4d\u8bed\u4ece\u53e5,\u540c\u4f4d\u8bed\u662f\u5bf9\u524d\u9762\u7684\u540d\u8bcd\u7684\u89e3\u91ca\u8bf4\u660e,\u5f53\u540c\u4f4d\u8bed\u90e8\u5206\u662f\u4e2a\u53e5\u5b50\u7684\u65f6\u5019,\u5c31\u662f\u540c\u4f4d\u8bed\u4ece\u53e5,\u8fd9\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffdB\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u672c\u9898\u8003\u67e5\u4e86\u540c\u4f4d\u8bed\u4ece\u53e5,\u540c\u4f4d\u8bed\u662f\u5bf9\u524d\u9762\u7684\u540d\u8bcd\u7684\u89e3\u91ca\u8bf4\u660e,\u5f53\u540c\u4f4d\u8bed\u90e8\u5206\u662f\u4e2a\u53e5\u5b50\u7684\u65f6\u5019,\u5c31\u662f\u540c\u4f4d\u8bed\u4ece\u53e5,\u8fd9\u79cd\u7528\u6cd5\u6bd4\u8f83\"\u56fa\u5b9a\" \u4e00\u3001\u5728\u590d\u5408\u53e5\u4e2d\u7528\u4f5c\u540c\u4f4d\u8bed\u7684\u4ece\u53e5\u53eb\u540c\u4f4d\u8bed\u4ece\u53e5\u3002\u5b83\u4e00\u822c\u8ddf\u5728\u67d0\u4e9b\u540d\u8bcd\u540e\u9762,\u7528\u4ee5\u8bf4\u660e\u8be5\u540d\u8bcd\u8868\u793a\u7684\u5177\u4f53\u5185\u5bb9\u3002 I heard the news that our team had won. \u6211\u542c\u5230\u4e86\u6211\u4eec\u961f\u83b7\u80dc\u7684\u6d88\u606f\u3002 \u4e8c\u3001\u53ef\u4ee5\u8ddf\u540c\u4f4d\u8bed\u4ece\u53e5\u7684\u540d\u8bcd\u901a\u5e38\u6709news,idea,fact,promise,question,doubt,thought,hope,message,suggestion,words(\u6d88\u606f),possibility, decision\u7b49(\u4e00\u822c\u7684\u201c\u62bd\u8c61\u201d\u540d\u8bcd\u90fd\u53ef\u7528)\u3002 I\u2019ve come from Mr. wang with a message that he won\u2019t be able to see you this afternoon. \u6211\u4ece\u738b\u5148\u751f\u90a3\u91cc\u6765,\u4ed6\u8ba9\u6211\u544a\u8bc9\u4f60\u4ed6\u4eca\u5929\u4e0b\u5348\u4e0d\u80fd\u6765\u770b\u4f60\u4e86\u3002 \u4e09\u3001\u82f1\u8bed\u4e2d\u5f15\u5bfc\u540c\u4f4d\u8bed\u4ece\u53e5\u7684\u8bcd\u901a\u5e38\u6709\u8fde\u8bcdthat,whether,\u8fde\u63a5\u4ee3\u8bcdwhat,who\u3002\u8fde\u63a5\u526f\u8bcdhow, when, where\u7b49\u3002(\u6ce8:if\u4e0d\u80fd\u5f15\u5bfc\u540c\u4f4d\u8bed\u4ece\u53e5\u3002) He must answer the question whether he agrees with it or not. \u4ed6\u5fc5\u987b\u56de\u7b54\u4ed6\u662f\u5426\u540c\u610f\u8fd9\u6837\u4e00\u4e2a\u95ee\u9898\u3002 \u56db\u3001\u6709\u65f6\u540c\u4f4d\u8bed\u4ece\u53e5\u53ef\u4ee5\u4e0d\u7d27\u8ddf\u5728\u8bf4\u660e\u7684\u540d\u8bcd\u540e\u9762,\u800c\u88ab\u522b\u7684\u8bcd\u9694\u5f00\u3002 The thought came to him that maybe the enemy had fled the city. \u4ed6\u7a81\u7136\u60f3\u8d77\u654c\u4eba\u53ef\u80fd\u5df2\u7ecf\u9003\u51fa\u57ce\u4e86\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe drought had lasted several months and it made farmers _ about the harvest. A. astonished B. anxious C. eager D. busy\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u5e72\u65f1\u5df2\u7ecf\u6301\u7eed\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffd\u539f\u5f62\u6765\u5f3a\u8c03\u8c13\u8bed\u52a8\u8bcd\u3002\u6ce8\u610f:\u6b64\u79cd\u5f3a\u8c03\u53ea\u7528do/does\u548cdid,\u6ca1\u6709\u522b\u7684\u5f62\u5f0f;\u8fc7\u53bb\u65f6\u6001\u7528did,\u540e\u9762\u7684\u8c13\u8bed\u52a8\u8bcd\u7528\u539f\u5f62\u3002\u5982:Do come early. \u52a1\u5fc5\u65e9\u6765\u3002He did send you a letter last week. \u6628\u5929\u4ed6\u786e\u5b9e\u5bc4\u7ed9\u4f60\u4e00\u5c01\u4fe1\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aSpelling Bee is a contest _ competitors, usually children, are asked to spell as many words as possible. A. which B. when C. what D. where\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5b9a\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u62fc\u5b57\u6bd4\u8d5b\u662f\u8981\u6c42\u53c2\u8d5b\u8005,\u901a\u5e38\u662f\u5b69\u5b50,\u62fc\u51fa\u5c3d\u53ef\u80fd\u591a\u7684\u5355\u8bcd\u7684\u6bd4\u8d5b\u3002\u6b64\u5904a contest\u662f\u5148\u884c\u8bcd,\u5728\u540e\u9762\u7684\u5b9a\u8bed\u4ece\u53e5\u4e2d\u4f5c\u5730\u70b9\u72b6\u8bed,\u6545\u7b54\u6848\u4e3aD\u3002\u3010\u70b9\u775b\u3011\u5206\u6790\u5b9a\u8bed\u4ece\u53e5\u5173\u952e\u6293\u4f4f\u4e24\u70b9:\u7b2c\u4e00\u3001\u627e\u51c6\u5148\u884c\u8bcd;\u7b2c\u4e8c\u3001\u770b\u5148\u884c\u8bcd\u5728\u5b9a\u8bed\u4ece\u53e5\u4e2d\u6240\u4f5c\u7684\u6210\u5206\u3002\u5148\u884c\u8bcd\u5f80\u5f80\u4e3a\u540d\u8bcd\u6216\u4ee3\u8bcd,\u5982\u672c\u9898\u4e2d\u5148\u884c\u8bcd\u4e3a\u540d\u8bcda contest,\u518d\u5206\u6790\u5148\u884c\u8bcda contest\u5728\u5b9a\u8bed\u4ece\u53e5\u4e2d\u6240\u4f5c\u7684\u6210\u5206,\u5c06\u5148\u884c\u8bcda contest\u5e26\u5230\u4ece\u53e5\u4e2d\u53ef\u77e5,\u53ea\u80fd\u4f5c\u5730\u70b9\u72b6\u8bed,\u6545\u786e\u5b9a\u5173\u7cfb\u8bcdwhere\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHe kept silent over the matter because he had no intention to risk _ in it. A. to involve B. involving C. being involved D. to be involved\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u975e\u8c13\u8bed\u52a8\u8bcd\u3002\u53e5\u610f:\u4ed6\u5bf9\u8fd9\u4ef6\u4e8b\u4fdd\u6301\u6c89\u9ed8,\u56e0\u4e3a\u4ed6\u4e0d\u60f3\u5192\u9669\u5377\u5165\u5176\u4e2d\u3002\u56fa\u5b9a\u642d\u914d:risk doing sth.\u201c\u5192\u9669\u505a\u67d0\u4e8b\u201d,\u4e14\u53e5\u5b50\u4e3b\u8bedhe\u548cinvolve\u4e4b\u95f4\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u7981\u6b62\u67aa\u652f\u3002\u6b64\u5904\u662f\u52a8\u8bcd\u4e0d\u5b9a\u5f0f\u4f5c\u540e\u7f6e\u5b9a\u8bed,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMy computer _ start this morning. There must have been something wrong with it. A. wouldn\u2019t B. shouldn\u2019t C. couldn\u2019t D. mustn\u2019t\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u60c5\u6001\u52a8\u8bcd\u3002\u53e5\u610f:\u6211\u7684\u7535\u8111\u4eca\u65e9\u542f\u52a8\u4e0d\u4e86\u3002\u4e00\u5b9a\u662f\u51fa\u4e86\u4ec0\u4e48\u95ee\u9898\u3002A. wouldn\u2019t \u4e0d\u4f1a; B. shouldn\u2019t\u4e0d\u5e94\u8be5; C. couldn\u2019t \u4e0d\u80fd; D. mustn\u2019t\u7981\u6b62,\u4e0d\u5141\u8bb8\u3002\u6b64\u5904would\u8868\u793a\u8fc7\u53bb\u7684\u4e60\u60ef\u6216\u53cd\u590d\u6027\u7684\u52a8\u4f5c\u3002\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a- Come on, Henry. You can also enjoy as healthy a life as I _ if you can\u2026 - Are you advising me to run every morning? A. will live B. lived C. am living D. had lived\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u65f6\u6001\u3002\u53e5\u610f:\u2014\u5feb\u70b9,\u4ea8\u5229\u3002\u4f60\u4e5f\u53ef\u4ee5\u50cf\u6211\u4e00\u6837\u4eab\u53d7\u5065\u5eb7\u7684\u751f\u6d3b,\u5982\u679c\u4f60\u53ef\u4ee5\u2026\u2026\u3002\u2014\u4f60\u662f\u5efa\u8bae\u6211\u6bcf\u5929\u65e9\u4e0a\u8dd1\u6b65\u5417?\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u6b64\u5904\u7528\u73b0\u5728\u8fdb\u884c\u65f6\u6001,\u6545\u7b54\u6848\u4e3aC\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIt was at midnight _ we arrived at the airport, resulting from the heavy fog. A. that B. before C. since D. now that\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f3a\u8c03\u53e5\u5f0f\u3002\u53e5\u610f:\u7531\u4e8e\u5927\u96fe,\u6211\u4eec\u662f\u5728\u5348\u591c\u5230\u8fbe\u673a\u573a\u7684\u3002\u6b64\u5904\u65f6\u5f3a\u8c03\u53e5\u5f0f,\u5f3a\u8c03\u65f6\u95f4\u72b6\u8bed,It is +\u5f3a\u8c03\u90e8\u5206+that+\u5176\u4ed6-\u3002\u7531\u6b64\u53ef\u77e5A\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u6d45\u8c08\u5f3a\u8c03\u53e5 1. \u7528It is/was...that/who...\u53e5\u578b\u8868\u793a\u5f3a\u8c03\u3002 (1)\u9648\u8ff0\u53e5\u7684\u5f3a\u8c03\u53e5\u578b:\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: +\u5176\u4ed6-\u3002\u7531\u6b64\u53ef\u77e5A\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u6d45\u8c08\u5f3a\u8c03\u53e5 1. \u7528It is/was...that/who...\u53e5\u578b\u8868\u793a\u5f3a\u8c03\u3002 (1)\u9648\u8ff0\u53e5\u7684\u5f3a\u8c03\u53e5\u578b:It is/was+\u88ab\u5f3a\u8c03\u90e8\u5206(\u901a\u5e38\u662f\u4e3b\u8bed\u3001\u5bbe\u8bed\u6216\u72b6\u8bed)+that/who(\u5f53\u5f3a\u8c03\u4e3b\u8bed\u4e14\u4e3b\u8bed\u6307\u4eba)+\u5176\u5b83\u90e8\u5206\u3002 e.g. It was yesterday that he met Li Ping. (2)\u4e00\u822c\u7591\u95ee\u53e5\u7684\u5f3a\u8c03\u53e5\u578b:\u540c\u4e0a,\u53ea\u662f\u628ais/was\u63d0\u5230it\u524d\u9762\u3002 e.g. Was it yesterday that he met Li Ping? (3)\u7279\u6b8a\u7591\u95ee\u53e5\u7684\u5f3a\u8c03\u53e5\u578b:\u88ab\u5f3a\u8c03\u90e8\u5206(\u901a\u5e38\u662f\u7591\u95ee\u4ee3\u8bcd\u6216\u7591\u95ee\u526f\u8bcd)+is/was+it+that/who+\u5176\u5b83\u90e8\u5206?e.g. When and where was it that you were born? 2. not...until...\u53e5\u578b\u7684\u5f3a\u8c03\u53e5: \u53e5\u578b\u4e3a:It is/was not until+\u88ab\u5f3a\u8c03\u90e8\u5206+that+\u5176\u5b83\u90e8\u5206: e.g. \u666e\u901a\u53e5:He didn't go to bed until/till his wife came back. \u5f3a\u8c03\u53e5:It was not until his wife came back that he went to bed. \u6ce8\u610f:\u6b64\u53e5\u578b\u53ea\u7528until,\u4e0d\u7528till\u3002\u4f46\u5982\u679c\u4e0d\u662f\u5f3a\u8c03\u53e5\u578b,till, until\u53ef\u901a\u7528; \u56e0\u4e3a\u53e5\u578b\u4e2dIt is/was not...\u5df2\u7ecf\u662f\u5426\u5b9a\u53e5\u4e86,that\u540e\u9762\u7684\u4ece\u53e5\u8981\u7528\u80af\u5b9a\u53e5,\u5207\u52ff\u518d\u7528\u5426\u5b9a\u53e5\u4e86\u3002 3. \u5f3a\u8c03\u8c13\u8bed\u52a8\u8bcd:\u7528\u52a9\u52a8\u8bcddo, does\u6216did\u52a0\u52a8\u8bcd\u539f\u5f62\u6765\u5f3a\u8c03\u8c13\u8bed\u52a8\u8bcd\u3002\u6ce8\u610f:\u6b64\u79cd\u5f3a\u8c03\u53ea\u7528do/does\u548cdid,\u6ca1\u6709\u522b\u7684\u5f62\u5f0f;\u8fc7\u53bb\u65f6\u6001\u7528did,\u540e\u9762\u7684\u8c13\u8bed\u52a8\u8bcd\u7528\u539f\u5f62\u3002\u5982:Do come early. \u52a1\u5fc5\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u201d,\u662f\u4e00\u4e2a\u4ecb\u8bcd\u77ed\u8bed,\u5728\u53e5\u4e2d\u7ecf\u5e38\u8d77\u8fde\u8bcd\u4f5c\u7528,\u5f15\u5bfc\u65f6\u95f4\u72b6\u8bed\u4ece\u53e5\u3002\u5b83\u7684\u4e3b\u8981\u7528\u6cd5\u5982\u4e0b: 1. \u5982\u679c\u4ece\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u662f\u4e00\u822c\u8fc7\u53bb\u65f6,\u90a3\u4e48\u4e3b\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u901a\u5e38\u7528\u8fc7\u53bb\u5b8c\u6210\u65f6,\u8868\u793a\u201c\u622a\u6b62\u5230\u4ece\u53e5\u52a8\u4f5c\u53d1\u751f\u65f6,\u4e3b\u53e5\u52a8\u4f5c\u5df2\u7ecf\u5b8c\u6210,\u5373\u8fc7\u53bb\u7684\u8fc7\u53bb\u201d\u3002 2. \u5982\u679c\u4ece\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u4e3a\u4e00\u822c\u73b0\u5728\u65f6(\u8868\u793a\u5c06\u6765),\u90a3\u4e48\u4e3b\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u5e38\u4e3a\u5c06\u6765\u5b8c\u6210\u65f6,\u8868\u793a\u201c\u622a\u6b62\u5230\u5c06\u6765\u67d0\u4e00\u65f6\u95f4\u4e3a\u6b62,\u4e3b\u53e5\u52a8\u4f5c\u5c06\u5df2\u7ecf\u5b8c\u6210\u201d\u3002 3. \u5982\u679c\u4e3b\u53e5\u52a8\u4f5c\u4e0d\u5f3a\u8c03\u5df2\u7ecf\u5b8c\u6210,\u53ea\u662f\u8bf4\u660e\u8fc7\u53bb\u67d0\u4e2a\u65f6\u5019\u7684\u72b6\u51b5,\u6b64\u65f6\u4e3b\u53e5\u4e0d\u7528\u5b8c\u6210\u65f6,\u800c\u5e94\u6839\u636e\u5b9e\u9645\u9700\u8981\u9009\u7528\u9002\u5f53\u7684\u65f6\u6001,\u6b64\u65f6by the time\u76f8\u5f53\u4e8ewhen\u3002 \u672c\u53e5\u7b26\u5408\u7b2c\u4e00\u70b9\u7528\u6cd5,\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIt was the middle of the night _ my father woke me up and told me to watch the football game. A. that B. when C. since D. which\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fde\u8bcd\u3002\u53e5\u610f:\u90a3\u662f\u534a\u591c,\u7236\u4eb2\u628a\u6211\u53eb\u9192,\u53eb\u6211\u770b\u8db3\u7403\u8d5b\u3002\u672c\u53e5\u662fwhen\u5f15\u5bfc\u7684\u65f6\u95f4\u72b6\u8bed\u4ece\u53e5,\u6545B\u9009\u9879\u6b63\u786e\u3002\u672c\u53e5\u4e0d\u662f\u5f3a\u8c03\u53e5,\u5982\u679c\u628aIt was\u53bb\u6389,\u53e5\u5b50\u5e76\u4e0d\u6210\u7acb,the middle of the night\u524d\u7f3a\u5c11\u4ecb\u8bcd\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a-Madam, if you like I can give you a lift to the downtown area. - That\u2019s a very kind _. A. service B. offer C. promise D. choice\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u540d\u8bcd\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u3010\u9898\u5e72\u3011\uff1a-Madam, if you like I can give you a lift to the downtown area. - That\u2019s a very kind _. A. service B. offer C. promise D. choice\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u540d\u8bcd\u8fa8\u6790\u3002A. service\u670d\u52a1; B. offer\u63d0\u8bae; C. promise\u8bb8\u8bfa; D. choice\u9009\u62e9\u3002\u53e5\u610f:\u2014\u592b\u4eba,\u5982\u679c\u60a8\u613f\u610f,\u6211\u53ef\u4ee5\u8f7d\u60a8\u5230\u5e02\u4e2d\u5fc3\u3002\u2014\u8fd9\u662f\u4e00\u4e2a\u975e\u5e38\u597d\u7684\u63d0\u8bae\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u7b54\u6848\u4e3aB\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a- Have you ever been to Provence which is home to lavender(\u85b0\u8863\u8349) in Paris? - Yes, only once. I _ there for a week. A. had stayed B. were staying C. have stayed D. stayed\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u65f6\u6001\u3002\u53e5\u610f:\u2014\u4f60\u53bb\u8fc7\u5df4\u9ece\u85b0\u8863\u8349\u7684\u6545\u4e61\u666e\u7f57\u65fa\u65af\u5417?\u2014\u662f\u7684,\u53ea\u6709\u4e00\u6b21\u3002\u6211\u5728\u90a3\u91cc\u5446\u4e86\u4e00\u4e2a\u661f\u671f\u3002\u6b64\u5904\u662f\u6307\u8fc7\u53bb\u53d1\u751f\u7684\u4e00\u4ef6\u4e8b,\u4e0e\u73b0\u5728\u65e0\u5173,\u6240\u4ee5\u7528\u4e00\u822c\u8fc7\u53bb\u65f6\u6001,\u6545\u7b54\u6848\u4e3aD\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aDue to the frequent school shootings, the only way the president could imagine _ such tragedies was to ban guns across the US. A. preventing B. prevented C. to prevent D. having prevented\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u4e0d\u5b9a\u5f0f\u4f5c\u540e\u7f6e\u5b9a\u8bed\u3002\u53e5\u610f:\u7531\u4e8e\u6821\u56ed\u67aa\u51fb\u6848\u9891\u53d1,\u603b\u7edf\u80fd\u60f3\u5230\u7684\u9632\u6b62\u6b64\u7c7b\u60b2\u5267\u53d1\u751f\u7684\u552f\u4e00\u529e\u6cd5\u5c31\u662f\u5728\u5168\u7f8e\u8303\u56f4\u5185\u7981\u6b62\u67aa\u652f\u3002\u6b64\u5904\u662f\u52a8\u8bcd\u4e0d\u5b9a\u5f0f\u4f5c\u540e\u7f6e\u5b9a\u8bed,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMy computer _ start this morning. There must have been something wrong with it. A. wouldn\u2019t B. shouldn\u2019t C. couldn\u2019t D.\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: . cures\u6cbb\u7597;B. residents\u5c45\u6c11;C. budgets\u9884\u7b97;D. species\u79cd\u7c7b\u3002\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMr. Painter wanted to design a new system to _ the water in his garden in heavy rains. A. retreat B. drain C. tremble D. shrink\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:Painter\u5148\u751f\u60f3\u8bbe\u8ba1\u4e00\u79cd\u65b0\u7684\u7cfb\u7edf,\u5728\u4e0b\u5927\u96e8\u65f6\u6765\u7ed9\u4ed6\u7684\u82b1\u56ed\u91cc\u6392\u6c34\u3002A. retreat\u64a4\u9000;B. drain\u6392\u51fa;C. tremble\u53d1\u6296;D. shrink\u9000\u7f29\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe family wrote a letter to the organization to express their _ for help. A. faith B. appeal C. relief D. sight\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u8fd9\u5bb6\u4eba\u5199\u4e86\u4e00\u5c01\u4fe1\u7ed9\u8be5\u7ec4\u7ec7\u8868\u8fbe\u4ed6\u4eec\u9700\u8981\u63f4\u52a9\u7684\u6073\u6c42\u3002A. faith\u4fe1\u4ef0;B. appeal\u6073\u6c42;C. relief\u51cf\u8f7b;D. sight\u89c6\u529b\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWinning this game is _ to the team, for the result will decide whether it can defend its championship. A. contemporary B. crucial C. complicated D. constant\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u8d62\u5f97\u8fd9\u573a\u6bd4\u8d5b\u5bf9\u7403\u961f\u81f3\u5173\u91cd\u8981,\u56e0\u4e3a\u7ed3\u679c\u5c06\u51b3\u5b9a\u5b83\u80fd\u5426\u536b\u5195\u51a0\u519b\u3002A. contemporary\u5f53\u4ee3\u7684;B. crucial\u51b3\u5b9a\u6027\u7684;C. complicated\u590d\u6742\u96be\u61c2\u7684;D. constant\u7ecf\u5e38\u7684\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI can\u2019t stay out overnight without my parents\u2019_. A. obedience B. privacy C. affection D. approval\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\ufffd\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: :\u4ed6\u5bf9\u8fd9\u4ef6\u4e8b\u4fdd\u6301\u6c89\u9ed8,\u56e0\u4e3a\u4ed6\u4e0d\u60f3\u5192\u9669\u5377\u5165\u5176\u4e2d\u3002\u56fa\u5b9a\u642d\u914d:risk doing sth.\u201c\u5192\u9669\u505a\u67d0\u4e8b\u201d,\u4e14\u53e5\u5b50\u4e3b\u8bedhe\u548cinvolve\u4e4b\u95f4\u662f\u4e00\u79cd\u88ab\u52a8\u5173\u7cfb,\u6240\u4ee5\u8fd9\u91cc\u8981\u7528\u52a8\u540d\u8bcd\u4e00\u822c\u5f0f\u7684\u88ab\u52a8\u5f0f,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a_in voluntary work makes him feel happy and fulfilled. A. Participate B. Participated C. Participating D. Having participated\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u975e\u8c13\u8bed\u52a8\u8bcd\u3002\u53e5\u610f:\u53c2\u4e0e\u5fd7\u613f\u5de5\u4f5c\u4f7f\u4ed6\u611f\u5230\u5feb\u4e50\u548c\u6ee1\u8db3\u3002\u5206\u6790\u53e5\u5b50\u53ef\u77e5,\u53e5\u4e2d\u7f3a\u5c11\u4e3b\u8bed,\u6545\u7528\u52a8\u540d\u8bcd\u77ed\u8bed\u4f5c\u4e3b\u8bed\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe doctor tried to _ me that my mother would be fine. A. whistle B. emerge C. reassure D. bend\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u533b\u751f\u8bd5\u56fe\u8ba9\u6211\u653e\u5fc3,\u6211\u7684\u6bcd\u4eb2\u4f1a\u597d\u7684\u3002A. whistle\u5439\u53e3\u54e8;B. emerge\u6d6e\u73b0;C. reassure\u4f7f\u2026\u2026\u5b89\u5fc3;D. bend\u5f2f\u66f2\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aNew Zealand is home to around 16,000 bird _,double the number in all Europe. A. cures B. residents C. budgets D. species\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u65b0\u897f\u5170\u62e5\u6709\u5927\u7ea616,000\u79cd\u9e1f\u7c7b,\u662f\u6b27\u6d32\u603b\u6570\u7684\u4e24\u500d\u3002A. cures\u6cbb\u7597;B. residents\u5c45\u6c11;C. budgets\u9884\u7b97;D. species\u79cd\u7c7b\u3002\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMr. Painter wanted to design a new system to _ the water in his garden in heavy rains. A. retreat B.\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI can\u2019t stay out overnight without my parents\u2019_. A. obedience B. privacy C. affection D. approval\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u6ca1\u6709\u7236\u6bcd\u7684\u540c\u610f,\u6211\u4e0d\u80fd\u5728\u5916\u9762\u8fc7\u591c\u3002A. obedience\u670d\u4ece;B. privacy\u9690\u79c1;C. affection\u5f71\u54cd;D. approval\u540c\u610f\u3002\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aScientists have made a major _ in the treatment of cancer. A. barrier B. breakthrough C. companion D. concern\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u79d1\u5b66\u5bb6\u5728\u764c\u75c7\u6cbb\u7597\u65b9\u9762\u53d6\u5f97\u4e86\u91cd\u5927\u7a81\u7834\u3002A. barrier\u969c\u788d\u7269;B. breakthrough\u7a81\u7834;C. companion \u540c\u4f34;D. concern\u5173\u5fc3\u3002\u77ed\u8bedmake a breakthrough\u7a81\u7834\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aAccording to Professor Smith, the best approach _ a foreign language is to study the spoken language. A. to learn B. to learning C. of learning D. on learning\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u56fa\u5b9a\u642d\u914d\u3002\u53e5\u610f:\u53f2\u5bc6\u65af\u6559\u6388\u8ba4\u4e3a,\u5b66\u4e60\u5916\u8bed\u7684\u6700\u597d\u65b9\u6cd5\u662f\u5b66\u4e60\u53e3\u8bed\u3002the approach to doing sth.\u201c\u505a\u67d0\u4e8b\u7684\u65b9\u6cd5\u201d,\u6b64\u5904to\u662f\u4ecb\u8bcd,\u540e\u9762\u7528\u52a8\u540d\u8bcd\u4f5c\u8868\u8bed,\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHey, you _ at the computer all day. You should really take a break now. A. have been sitting B. were sitting C. did sit D. are sitting\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u73b0\u5728\u5b8c\u6210\u8fdb\u884c\u65f6\u6001\u3002\u53e5\u610f:\u563f,\u4f60\u6574\u5929\u90fd\u5750\u5728\u7535\u8111\u524d\u3002\u4f60\u73b0\u5728\u771f\u7684\u5e94\u8be5\u4f11\u606f\u4e00\u4e0b\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u53e5\u5b50\u7528\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u73b0\u5728\u5b8c\u6210\u8fdb\u884c\u65f6\u6001\u3002\u53e5\u610f:\u563f,\u4f60\u6574\u5929\u90fd\u5750\u5728\u7535\u8111\u524d\u3002\u4f60\u73b0\u5728\u771f\u7684\u5e94\u8be5\u4f11\u606f\u4e00\u4e0b\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u53e5\u5b50\u7528\u73b0\u5728\u5b8c\u6210\u8fdb\u884c\u65f6\u6001,\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aOver the last three decades, the number of people participating in physical fitness programs _ sharply. A. was increasing B. has increased C. had increased D. will be increasing\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u65f6\u6001\u3002\u53e5\u610f:\u5728\u8fc7\u53bb\u7684\u4e09\u5341\u5e74\u91cc,\u53c2\u52a0\u5065\u8eab\u8ba1\u5212\u7684\u4eba\u6570\u6025\u5267\u589e\u52a0\u3002Over the last three decades\u201c\u5728\u6700\u8fd1\u768430\u5e74\u91cc\u201d\u548c\u73b0\u5728\u5b8c\u6210\u65f6\u6001\u8fde\u7528,\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWell, if Father\u2019s job means that we have to move away from our house and the sliding banister and my three best friends for life, then I think Father should _ about his job, don\u2019t you? A. have big things in mind B. let the matters drop C. stretch out D. think twice\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. have big things in mind\u80f8\u6000\u5927\u5fd7;B. let the matters drop\u8ba9\u4e8b\u60c5\u8fc7\u53bb\u5427;C. stretch out\u5c55\u5f00;D. think twice\u4e09\u601d\u800c\u540e\u884c\u3002\u53e5\u610f:\u597d\u5427,\u5982\u679c\u7236\u4eb2\u7684\u5de5\u4f5c\u610f\u5473\u7740\u6211\u4eec\u5fc5\u987b\u79bb\u5f00\u6211\u4eec\u7684\u623f\u5b50\u3001\u6ed1\u52a8\u7684\u697c\u68af\u6276\u624b\u548c\u6211\u7684\u4e09\u4e2a\u6700\u597d\u7684\u670b\u53cb,\u90a3\u4e48\u6211\u8ba4\u4e3a\u7236\u4eb2\u5e94\u8be5\u4e09\u601d\u800c\u540e\u884c,\u4e0d\u662f\u5417?\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThere was a plaque _ the top of the bench but she couldn't read the inscription from this distance. A. secured on B. tangled in C. applied to D. attached to\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. secured on\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: of the bench but she couldn't read the inscription from this distance. A. secured on B. tangled in C. applied to D. attached to\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. secured on\u4fdd\u8bc1;B. tangled in\u7ea0\u7f20;C. applied to\u7533\u8bf7;D. attached to\u9644\u5c5e\u4e8e\u3002\u53e5\u610f:\u957f\u51f3\u9876\u4e0a\u6302\u7740\u4e00\u5757\u724c\u533e,\u4f46\u5979\u9694\u7740\u8fd9\u4e48\u8fdc\u770b\u4e0d\u6e05\u4e0a\u9762\u7684\u94ed\u6587\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aInstead the ground was made of a sand-like substance, and as far as she could _ there was nothing but low huts and large square buildings dotted around and one or two smoke stacks in the distance. A. make sense B. make out C. make the best D. make it clear\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. make sense\u8bf4\u5f97\u901a;B. make out\u8fa8\u8ba4\u51fa;C. make the best\u5c3d\u529b\u800c\u4e3a;D. make it clear\u660e\u786e\u8868\u660e\u3002\u53e5\u610f:\u76f8\u53cd,\u5730\u9762\u662f\u7528\u6c99\u5b50\u4e00\u6837\u7684\u4e1c\u897f\u94fa\u6210\u7684,\u5728\u5979\u6240\u80fd\u770b\u5230\u7684\u8303\u56f4\u5185,\u9664\u4e86\u4f4e\u77ee\u7684\u5c0f\u5c4b\u548c\u56db\u56db\u65b9\u65b9\u7684\u5927\u697c\u623f\u5916,\u4ec0\u4e48\u4e5f\u6ca1\u6709,\u8fdc\u5904\u8fd8\u6709\u4e00\u4e24\u4e2a\u70df\u56f1\u3002\u6545B\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u52a8\u8bcd\u56fa\u5b9a\u77ed\u8bed\u8fa8\u6790\u662f\u5355\u9879\u9009\u62e9\u548c\u5b8c\u5f62\u586b\u7a7a\u4e2d\u5e38\u8003\u8003\u70b9,\u9700\u8981\u5927\u5bb6\u6ce8\u610f\u79ef\u7d2f\u3002\u4f8b\u5982make\u7684\u4e00\u4e9b\u8bcd\u7ec4: make sure that\u786e\u4fe1;\u8bc1\u5b9e make up \u5f25\u8865;\u7ec4\u6210;\u5316\u5986;\u6574\u7406 make full use of \u5145\u5206\u5229\u7528 make up for \u8865\u507f,\u5f25\u8865 make a difference \u6709\u5f71\u54cd,\u6709\u5173\u7cfb make good use of \u5145\u5206\u5229\u7528;\u5f88\u597d\u5730\u4f7f\u7528 make out \u7406\u89e3;\u8fa8\u8ba4\u51fa;\u8bf4\u660e;\u586b\u5199;\u8bbe\u6cd5\u5e94\u4ed8\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: D. told\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fc7\u53bb\u5206\u8bcd\u4f5c\u72b6\u8bed\u3002\u53e5\u610f:\u5c3d\u7ba1\u88ab\u544a\u77e5\u6709\u5371\u9669,\u5e03\u6717\u5148\u751f\u4ecd\u7136\u5192\u7740\u751f\u547d\u5371\u9669\u53bb\u6551\u706b\u707e\u4e2d\u7684\u7537\u5b69\u3002\u6b64\u5904\u53e5\u5b50\u4e3b\u8bedMr. Brown\u548ctell\u4e4b\u95f4\u662f\u4e00\u79cd\u88ab\u52a8\u5173\u7cfb,\u4e0e\u8fde\u8bcdThough\u4e00\u8d77\u5f15\u5bfc\u4f5c\u8ba9\u6b65\u72b6\u8bed,\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHe sold this car for only 2000 dollars, so the buyer got a wonderful_. A. cost B. worth C. value D. bargain\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u3002A. cost\u8d39\u7528; B. worth\u4ef7\u503c,\u8d22\u4ea7; C. value\u4ef7\u503c; D. bargain\u4ea4\u6613,\u4fbf\u5b9c\u8d27\u3002\u53e5\u610f:\u4ed6\u4ee5\u4e8c\u5343\u7f8e\u5143\u7684\u4ef7\u683c\u628a\u8fd9\u8f86\u8f66\u5356\u4e86,\u4e70\u4e3b\u4e70\u5f97\u5f88\u4fbf\u5b9c\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u7b54\u6848\u4e3aD\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe observer\u2019s statement about the accident was very ; we know almost everything about it now. A. specific B. especial C. particular D. special\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u65c1\u89c2\u8005\u5173\u4e8e\u4e8b\u6545\u7684\u9648\u8ff0\u975e\u5e38\u5177\u4f53;\u6211\u4eec\u73b0\u5728\u51e0\u4e4e\u5bf9\u5b83\u4e86\u5982\u6307\u638c\u3002A. specific \u5177\u4f53\u7684; B. especial\u5c24\u5176\u7684; C. particular\u7279\u6b8a\u7684; D. special\u975e\u4e00\u822c\u7684\u3002\u7531\u201c everything \u201d\u53ef\u77e5,\u65c1\u89c2\u8005\u5173\u4e8e\u4e8b\u6545\u7684\u9648\u8ff0\u975e\u5e38\u5177\u4f53\u3002\u6545A\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWhat will the world use for power when it has _ oil? A. given out of B. given out C. run out of D. run out\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u77ed\u8bed\u3002\u53e5\u610f:\u5f53\u77f3\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffd\u5206\u5229\u7528 make up for \u8865\u507f,\u5f25\u8865 make a difference \u6709\u5f71\u54cd,\u6709\u5173\u7cfb make good use of \u5145\u5206\u5229\u7528;\u5f88\u597d\u5730\u4f7f\u7528 make out \u7406\u89e3;\u8fa8\u8ba4\u51fa;\u8bf4\u660e;\u586b\u5199;\u8bbe\u6cd5\u5e94\u4ed8 make for \u5bfc\u81f4;\u6709\u52a9\u4e8e;\u8d70\u5411 make it possible \u4f7f\u5b83\u53d8\u6210\u53ef\u80fd make a living \u8c0b\u751f,\u7ef4\u6301\u751f\u6d3b make decision \u4f5c\u51b3\u5b9a;\u4e0b\u51b3\u5fc3\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aShe just got on with her job, _ the furniture, washing the clothes, helping with the shopping and the cooking, sometimes taking him to school and collecting him again, although that had been more common when Bruno was eight; when he turned nine he decided he was old enough to make his way- there and home alone. A. polishing B. discarding C. resisting D. irritating\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8fa8\u6790\u3002A. polishing\u629b\u5149;B. discarding\u4e22\u5f03;C. resisting\u62b5\u5236;D. irritating\u523a\u6fc0\u3002\u53e5\u610f:\u5979\u53ea\u662f\u7ee7\u7eed\u5979\u7684\u5de5\u4f5c,\u64e6\u4eae\u5bb6\u5177\u3001\u6d17\u8863\u670d\u3001\u5e2e\u5fd9\u4e70\u4e1c\u897f\u548c\u505a\u996d,\u6709\u65f6\u5e26\u4ed6\u53bb\u5b66\u6821\u3001\u518d\u63a5\u4ed6,\u5c3d\u7ba1\u5728\u5e03\u9c81\u8bfa8\u5c81\u7684\u65f6\u5019\u8fd9\u79cd\u60c5\u51b5\u66f4\u5e38\u89c1;\u5f53\u4ed6\u4e5d\u5c81\u7684\u65f6\u5019,\u4ed6\u89c9\u5f97\u81ea\u5df1\u5df2\u7ecf\u8db3\u591f\u5927\u4e86,\u53ef\u4ee5\u81ea\u5df1\u8d70\u81ea\u5df1\u7684\u8def\u4e86\u2014\u2014\u53bb\u90a3\u91cc,\u7136\u540e\u72ec\u81ea\u56de\u5bb6\u3002\u6545A\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThough _ of the danger, Mr. Brown still risked his life to save the boy in the fire. A. having told B. being told C. to be told D. told\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fc7\u53bb\u5206\u8bcd\u4f5c\u72b6\u8bed\u3002\u53e5\u610f:\u5c3d\u7ba1\u88ab\u544a\u77e5\u6709\u5371\u9669,\u5e03\u6717\u5148\u751f\u4ecd\u7136\u5192\u7740\u751f\u547d\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u53e5\u610f:\u53ea\u8981\u4f60\u5c3d\u529b\u800c\u4e3a,\u5373\u4f7f\u5c06\u6765\u53ef\u80fd\u5931\u8d25\u4e5f\u4e0d\u4f1a\u6709\u4eba\u6307\u8d23\u4f60\u3002A. as though\u4eff\u4f5b;B. in case\u4e07\u4e00;C. now that\u65e2\u7136;D. even if\u5373\u4f7f\u3002\u524d\u540e\u662f\u8ba9\u6b65\u5173\u7cfb,\u6b64\u5904\u5e94\u7528even if\u5f15\u5bfc\u8ba9\u6b65\u72b6\u8bed\u4ece\u53e5\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI\u2019ve spent _ most exciting day today, for _ younger of my two sons has been admitted into the university. A. a;a B. a;the C. the;a D. the;/\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u51a0\u8bcd\u7684\u7528\u6cd5\u3002\u53e5\u610f:\u6211\u4eca\u5929\u5ea6\u8fc7\u4e86\u975e\u5e38\u5174\u594b\u7684\u4e00\u5929,\u56e0\u4e3a\u6211\u4e24\u4e2a\u513f\u5b50\u4e2d\u8f83\u5c0f\u7684\u90a3\u4e00\u4e2a\u5df2\u7ecf\u88ab\u5927\u5b66\u5f55\u53d6\u3002a/an + most +\u5f62\u5bb9\u8bcd\"\u975e\u5e38\u2026\u2026\"\u3002\u800c\u6307\"\u4e24\u4e2a\u4e2d\u8f83\u2026\u2026\u7684\"\u65f6,\u5e38\u5e38\u7528the + \u6bd4\u8f83\u7ea7+ of the two\u3002 \u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThey have read the paper many times, but it doesn\u2019t make any _. A. sense B. value C. mark D. symbol\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8fa8\u6790\u548c\u642d\u914d\u3002\u53e5\u610f:\u4ed6\u4eec\u5df2\u7ecf\u8bfb\u4e86\u8fd9\u7bc7\u8bba\u6587\u5f88\u591a\u904d\u4e86,\u4f46\u662f\u8fd8\u662f\u6ca1\u6709\u7406\u89e3\u3002sense\u610f\u4e49;value\u4ef7\u503c;mark\u6807\u5fd7;symbol\u8c61\u5f81\u3002make sense\u6709\u610f\u4e49, \u7406\u89e3,\u8bb2\u5f97\u901a\u3002\u6839\u636e\u8bed\u5883\u53ef\u77e5A\u7b26\u5408\u9898\u610f,\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aYesterday she got _, giving us no choice but to send her to the nearest hospital. A. sicker and sicker B. sick and sick C. more sicker D. less sicker\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u6bd4\u8f83\u7ea7\u3002\u53e5\u610f:\u6628\u5929\u5979\u7684\u75c5\u53d8\u5f97\u8d8a\u6765\u8d8a\u4e25\u91cd\u4e86,\u6211\u4eec\u522b\u65e0\u9009\u62e9\u53ea\u80fd\u9001\u5979\u53bb\u4e86\u6700\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: sicker\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u6bd4\u8f83\u7ea7\u3002\u53e5\u610f:\u6628\u5929\u5979\u7684\u75c5\u53d8\u5f97\u8d8a\u6765\u8d8a\u4e25\u91cd\u4e86,\u6211\u4eec\u522b\u65e0\u9009\u62e9\u53ea\u80fd\u9001\u5979\u53bb\u4e86\u6700\u8fd1\u7684\u533b\u9662\u3002sicker\u672c\u8eab\u662f\u6bd4\u8f83\u7ea7\u5f62\u5f0f,\u5176\u524d\u4e0d\u53ef\u518d\u52a0more\u6216less,\u6392\u9664C\u3001D\u4e24\u9879;\u8868\u793a\u7a0b\u5ea6\u4e0d\u65ad\u52a0\u6df1\u8981\u7528\"\u6bd4\u8f83\u7ea7+and+\u6bd4\u8f83\u7ea7\"\u7ed3\u6784,\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aAs a great scientist, little joy can equal_ of being awarded the Nobel Prize. A. that B. this C. it D. one\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ee3\u8bcd\u3002\u53e5\u610f:\u4f5c\u4e3a\u4e00\u4e2a\u4f1f\u5927\u7684\u79d1\u5b66\u5bb6,\u4efb\u4f55\u559c\u60a6\u90fd\u8d76\u4e0d\u4e0a\u83b7\u5f97\u8bfa\u8d1d\u5c14\u5956\u3002\u7a7a\u5904\u6307\u4ee3\"\u83b7\u5f97\u8bfa\u8d1d\u5c14\u5956\u7684\u559c\u60a6\",\u4e0e\u524d\u9762\u7684\"joy\"\u76f8\u6bd4\u662f\u540c\u7c7b\u4e0d\u540c\u7269,\u5e94\u4f7f\u7528that\u4ee3\u66ff\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aFor Lucy, the most necessary thing is to find a suitable job, _ in which she can earn her living and fulfill her potential. A. that B. it C. the one D. one\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u66ff\u4ee3\u3002\u53e5\u610f:\u5bf9Lucy\u6765\u8bf4,\u5f53\u52a1\u4e4b\u6025\u662f\u627e\u5230\u4e00\u4efd\u5408\u9002\u7684\u5de5\u4f5c,\u4e00\u4efd\u80fd\u591f\u8ba9\u5979\u8c0b\u751f\u5e76\u53d1\u6325\u6f5c\u529b\u7684\u5de5\u4f5c\u3002\u8fd9\u91ccone\u6307\u4ee3a suitable job,\u5728\u53e5\u4e2d\u4f5ca suitable job\u7684\u540c\u4f4d\u8bed\u3002\u6545\u7b54\u6848\u4e3aD\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWe find _easy to get along with our new teachers here. A. that B. it C. this D. \u4e0d\u586b\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ee3\u8bcdit\u7684\u7528\u6cd5\u3002\u53e5\u610f:\u6211\u4eec\u53d1\u73b0\u4e0e\u6211\u4eec\u8fd9\u91cc\u7684\u65b0\u8001\u5e08\u76f8\u5904\u5f88\u5bb9\u6613\u3002\u6b64\u5904\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: that B. it C. this D. \u4e0d\u586b\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ee3\u8bcdit\u7684\u7528\u6cd5\u3002\u53e5\u610f:\u6211\u4eec\u53d1\u73b0\u4e0e\u6211\u4eec\u8fd9\u91cc\u7684\u65b0\u8001\u5e08\u76f8\u5904\u5f88\u5bb9\u6613\u3002\u6b64\u5904it\u4f5c\u5f62\u5f0f\u5bbe\u8bed,\u800c\u771f\u6b63\u7684\u5bbe\u8bed\u4e3a\u540e\u9762\u7684\u4e0d\u5b9a\u5f0f\u7ed3\u6784to get along with our new teachers here\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a_ all of them are strong candidates, only one will be chosen for the post. A. Since B. While C. Once D. As\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u72b6\u8bed\u4ece\u53e5\u8fde\u8bcd\u3002\u53e5\u610f:\u5c3d\u7ba1\u4ed6\u4eec\u90fd\u662f\u5f3a\u6709\u529b\u7684\u5019\u9009\u4eba,\u4f46\u53ea\u6709\u4e00\u4e2a\u4eba\u53ef\u4ee5\u88ab\u9009\u4e2d\u62c5\u4efb\u8fd9\u4e2a\u804c\u4f4d\u3002\u8fde\u8bcdwhile\u610f\u4e3a\u201c\u5f53\u2026\u2026\u65f6;\u5c3d\u7ba1;\u7136\u800c;\u201d\u672c\u53e5\u4e2d\u8868\u793a\u201c\u5c3d\u7ba1\u201d,\u5f15\u5bfc\u8ba9\u6b65\u72b6\u8bed\u4ece\u53e5\u3002\u6545B\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u672c\u9898\u8003\u67e5\u4e86while\u7684\u7528\u6cd5,\u5728\u82f1\u8bed\u7684\u4ece\u53e5\u91cc\u8fde\u8bcdwhile\u7684\u7528\u6cd5\u662f\u6bd4\u8f83\u590d\u6742\u7684\u3002 \u4e00\u3001while\u4f5c\u4e3a\u5e76\u5217\u8fde\u8bcd,\u610f\u601d\u4e3a\u201c\u800c,\u7136\u800c\u201d,\u8868\u524d\u540e\u610f\u4e49\u4e0a\u7684\u5bf9\u6bd4\u6216\u8f6c\u6298\u3002 \u4f8b\u5982:There\u2019s plenty of rain in the southeast, while there's little in the northeast. \u4e1c\u5357\u90e8\u96e8\u91cf\u5145\u8db3,\u800c\u897f\u5317\u90e8\u5219\u5f88\u5c11\u4e0b\u96e8\u3002 Some people waste food while others haven't enough. \u6709\u4e9b\u4eba\u6d6a\u8d39\u7cae\u98df,\u7136\u800c\u6709\u4e9b\u4eba\u5374\u5403\u4e0d\u9971\u3002 \u4e8c\u3001\u53e6\u5916while\u8fd8\u6709\u522b\u7684\u7528\u6cd5,while\u5f15\u5bfc\u72b6\u8bed\u4ece\u53e5,\u6709\u4ee5\u4e0b\u4e24\u79cd\u542b\u4e49: 1.\u8868\u793a\u67d0\u4e2a\u52a8\u4f5c\u6b63\u5728\u8fdb\u884c\u7684\u540c\u65f6,\u53e6\u4e00\u52a8\u4f5c\u4e5f\u5728\u8fdb\u884c\u4e4b\u4e2d,\u8fd9\u65f6\u4e3b\u4ece\u53e5\u90fd\u7528\u8fdb\u884c\u65f6\u6001,\u6709\u5bf9\u540c\u7c7b\u7684\u4e24\u4e2a\u52a8\u4f5c\u8fdb\u884c\u5bf9\u6bd4\u7684\u610f\u5473.\u5982: While I was playing the piano, she was dancing.\u6211\u5728\u5f39\ufffd\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffd\u62df\u8bed\u6c14\u3002\u53e5\u610f:\u6211\u591a\u4e48\u5e0c\u671b\u6211\u6ca1\u6709\u53bb\u4fee\u7406\u90a3\u5757\u8868!\u6211\u53ea\u8ba9\u4e8b\u60c5\u53d8\u5f97\u66f4\u7cdf\u4e86\u3002\u52a8\u8bcdwish\u540e\u63a5\u5bbe\u8bed\u4ece\u53e5\u65f6,\u4ece\u53e5\u8c13\u8bed\u8981\u7528\u865a\u62df\u8bed\u6c14\u82e5\u8868\u793a\u4e0e\u8fc7\u53bb\u76f8\u53cd\u7684\u613f\u671b,\u4ece\u53e5\u8c13\u8bed\u7528\u8fc7\u53bb\u5b8c\u6210\u65f6\u3002\u6839\u636e\u53e5\u610f\u4ee5\u53ca\u201cmade\u201d\u53ef\u77e5,B\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011wish\u540e\u5bbe\u8bed\u4ece\u53e5\u7528\u865a\u62df\u8bed\u6c14 \u52a8\u8bcdwish\u540e\u63a5\u5bbe\u8bed\u4ece\u53e5\u65f6,\u4ece\u53e5\u8c13\u8bed\u8981\u7528\u865a\u62df\u8bed\u6c14\u30021.\u82e5\u8981\u8868\u793a\u4e0e\u73b0\u5728\u4e8b\u5b9e\u76f8\u53cd\u7684\u613f\u671b,\u4ece\u53e5\u8c13\u8bed\u7528\u4e00\u822c\u8fc7\u53bb\u65f6;2.\u82e5\u8868\u793a\u4e0e\u8fc7\u53bb\u76f8\u53cd\u7684\u613f\u671b,\u4ece\u53e5\u8c13\u8bed\u7528\u8fc7\u53bb\u5b8c\u6210\u65f6;3.\u82e5\u8868\u793a\u5c06\u6765\u6ca1\u6709\u628a\u63e1\u6216\u4e0d\u592a\u53ef\u80fd\u5b9e\u73b0\u7684\u613f\u671b,\u7528would (could)+\u52a8\u8bcd\u539f\u5f62\u3002\u672c\u53e5\u7b26\u5408\u7b2c2\u70b9\u7528\u6cd5,\u6545B\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIn recent years, in many Western countries, in the USA and the UK, Halloween has become a special occasion. A. in general B. in brief C. in short D. in particular\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ecb\u8bcd\u77ed\u8bed\u8fa8\u6790\u3002A. in general\u610f\u4e3a\"\u603b\u7684\u8bf4\u6765,\u901a\u5e38\";B. in brief\u610f\u4e3a\"\u7b80\u8a00\u4e4b\";C. in short\u610f\u4e3a\"\u603b\u4e4b,\u7b80\u800c\u8a00\u4e4b\";D. in particular\u610f\u4e3a\"\u5c24\u5176,\u7279\u522b\"\u3002\u53e5\u610f:\u8fd1\u5e74\u6765,\u5728\u8bb8\u591a\u897f\u65b9\u56fd\u5bb6,\u5c24\u5176\u662f\u5728\u7f8e\u56fd\u548c\u82f1\u56fd,\u4e07\u5723\u8282\u524d\u5915\u5df2\u7ecf\u6210\u4e3a\u4e00\u79cd\u7279\u6b8a\u7684\u573a\u5408\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWhen faced with challenges, firmly believe that holding on to your dreams and doubling your efforts will _ lead to success. A. deliberately B. eventually C. automatically D.\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: the world use for power when it has _ oil? A. given out of B. given out C. run out of D. run out\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u77ed\u8bed\u3002\u53e5\u610f:\u5f53\u77f3\u6cb9\u67af\u7aed\u7684\u65f6\u5019,\u5168\u4e16\u754c\u5c06\u4f1a\u7528\u4ec0\u4e48\u4f5c\u4e3a\u80fd\u6e90\u5462\u3002(1)run out of\u610f\u4e3a\u201c\u7528\u5b8c\u4e86\u201d,\u662f\u53ca\u7269\u77ed\u8bed,\u8868\u793a\u4e3b\u52a8\u610f\u4e49,\u4e3b\u8bed\u4e00\u822c\u662f\u4eba\u3002 (2)run out\u610f\u4e3a\u201c\u7528\u5b8c\u201d,\u662f\u4e0d\u53ca\u7269\u77ed\u8bed,\u5176\u4e3b\u8bed\u901a\u5e38\u4e3a\u65f6\u95f4\u3001\u98df\u7269\u3001\u91d1\u94b1\u7b49\u540d\u8bcd\u30023)give out\u7528\u5c3d,\u7cbe\u75b2\u529b\u7aed,\u4e3a\u4e0d\u53ca\u7269\u77ed\u8bed\u3002\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI did not see your sister at the meeting. If she , she would have met my brother A. has come B. did come C. come D. had come\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u865a\u62df\u8bed\u6c14\u3002\u53e5\u610f:\u6211\u6ca1\u6709\u5728\u4f1a\u4e0a\u89c1\u5230\u4f60\u59b9\u59b9\u3002\u5982\u679c\u5979\u6765\u4e86,\u5979\u4f1a\u9047\u89c1\u6211\u54e5\u54e5\u7684\u3002if \u5f15\u5bfc\u7684\u865a\u62df\u6761\u4ef6\u53e5,\u4e0e\u8fc7\u53bb\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe\u3002\u4e3b\u53e5\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0fwould/could/might/should have done,\u6761\u4ef6\u4ece\u53e5\u7684\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0fhad done\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011If \u5f15\u5bfc\u7684\u865a\u62df\u6761\u4ef6\u53e5 \u6761\u4ef6\u4ece\u53e5\u7684\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0f \u4e3b\u53e5\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0f \u4e0e\u8fc7\u53bb\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe had done would/could/might/should have done \u4e0e\u73b0\u5728\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe \u8fc7\u53bb\u65f6(was\u2192were) would/could/might/should do \u4e0e\u5c06\u6765\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe \u8fc7\u53bb\u65f6 (was\u2192were ) ; should do; were to do would/could/might/should do \u672c\u53e5\u8868\u793a\u4e0e\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u7981\u6b62\u67aa\u652f\u3002\u6b64\u5904\u662f\u52a8\u8bcd\u4e0d\u5b9a\u5f0f\u4f5c\u540e\u7f6e\u5b9a\u8bed,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMy computer _ start this morning. There must have been something wrong with it. A. wouldn\u2019t B. shouldn\u2019t C. couldn\u2019t D. mustn\u2019t\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u60c5\u6001\u52a8\u8bcd\u3002\u53e5\u610f:\u6211\u7684\u7535\u8111\u4eca\u65e9\u542f\u52a8\u4e0d\u4e86\u3002\u4e00\u5b9a\u662f\u51fa\u4e86\u4ec0\u4e48\u95ee\u9898\u3002A. wouldn\u2019t \u4e0d\u4f1a; B. shouldn\u2019t\u4e0d\u5e94\u8be5; C. couldn\u2019t \u4e0d\u80fd; D. mustn\u2019t\u7981\u6b62,\u4e0d\u5141\u8bb8\u3002\u6b64\u5904would\u8868\u793a\u8fc7\u53bb\u7684\u4e60\u60ef\u6216\u53cd\u590d\u6027\u7684\u52a8\u4f5c\u3002\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a- Come on, Henry. You can also enjoy as healthy a life as I _ if you can\u2026 - Are you advising me to run every morning? A. will live B. lived C. am living D. had lived\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u65f6\u6001\u3002\u53e5\u610f:\u2014\u5feb\u70b9,\u4ea8\u5229\u3002\u4f60\u4e5f\u53ef\u4ee5\u50cf\u6211\u4e00\u6837\u4eab\u53d7\u5065\u5eb7\u7684\u751f\u6d3b,\u5982\u679c\u4f60\u53ef\u4ee5\u2026\u2026\u3002\u2014\u4f60\u662f\u5efa\u8bae\u6211\u6bcf\u5929\u65e9\u4e0a\u8dd1\u6b65\u5417?\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u6b64\u5904\u7528\u73b0\u5728\u8fdb\u884c\u65f6\u6001,\u6545\u7b54\u6848\u4e3aC\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIt was at midnight _ we arrived at the airport, resulting from the heavy fog. A. that B. before C. since D. now that\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f3a\u8c03\u53e5\u5f0f\u3002\u53e5\u610f:\u7531\u4e8e\u5927\u96fe,\u6211\u4eec\u662f\u5728\u5348\u591c\u5230\u8fbe\u673a\u573a\u7684\u3002\u6b64\u5904\u65f6\u5f3a\u8c03\u53e5\u5f0f,\u5f3a\u8c03\u65f6\u95f4\u72b6\u8bed,It is +\u5f3a\u8c03\u90e8\u5206+that+\u5176\u4ed6-\u3002\u7531\u6b64\u53ef\u77e5A\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u6d45\u8c08\u5f3a\u8c03\u53e5 1. \u7528It is/was...that/who...\u53e5\u578b\u8868\u793a\u5f3a\u8c03\u3002 (1)\u9648\u8ff0\u53e5\u7684\u5f3a\u8c03\u53e5\u578b:\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: the world use for power when it has _ oil? A. given out of B. given out C. run out of D. run out\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u77ed\u8bed\u3002\u53e5\u610f:\u5f53\u77f3\u6cb9\u67af\u7aed\u7684\u65f6\u5019,\u5168\u4e16\u754c\u5c06\u4f1a\u7528\u4ec0\u4e48\u4f5c\u4e3a\u80fd\u6e90\u5462\u3002(1)run out of\u610f\u4e3a\u201c\u7528\u5b8c\u4e86\u201d,\u662f\u53ca\u7269\u77ed\u8bed,\u8868\u793a\u4e3b\u52a8\u610f\u4e49,\u4e3b\u8bed\u4e00\u822c\u662f\u4eba\u3002 (2)run out\u610f\u4e3a\u201c\u7528\u5b8c\u201d,\u662f\u4e0d\u53ca\u7269\u77ed\u8bed,\u5176\u4e3b\u8bed\u901a\u5e38\u4e3a\u65f6\u95f4\u3001\u98df\u7269\u3001\u91d1\u94b1\u7b49\u540d\u8bcd\u30023)give out\u7528\u5c3d,\u7cbe\u75b2\u529b\u7aed,\u4e3a\u4e0d\u53ca\u7269\u77ed\u8bed\u3002\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI did not see your sister at the meeting. If she , she would have met my brother A. has come B. did come C. come D. had come\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u865a\u62df\u8bed\u6c14\u3002\u53e5\u610f:\u6211\u6ca1\u6709\u5728\u4f1a\u4e0a\u89c1\u5230\u4f60\u59b9\u59b9\u3002\u5982\u679c\u5979\u6765\u4e86,\u5979\u4f1a\u9047\u89c1\u6211\u54e5\u54e5\u7684\u3002if \u5f15\u5bfc\u7684\u865a\u62df\u6761\u4ef6\u53e5,\u4e0e\u8fc7\u53bb\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe\u3002\u4e3b\u53e5\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0fwould/could/might/should have done,\u6761\u4ef6\u4ece\u53e5\u7684\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0fhad done\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011If \u5f15\u5bfc\u7684\u865a\u62df\u6761\u4ef6\u53e5 \u6761\u4ef6\u4ece\u53e5\u7684\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0f \u4e3b\u53e5\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0f \u4e0e\u8fc7\u53bb\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe had done would/could/might/should have done \u4e0e\u73b0\u5728\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe \u8fc7\u53bb\u65f6(was\u2192were) would/could/might/should do \u4e0e\u5c06\u6765\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe \u8fc7\u53bb\u65f6 (was\u2192were ) ; should do; were to do would/could/might/should do \u672c\u53e5\u8868\u793a\u4e0e\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: several months and it made farmers _ about the harvest. A. astonished B. anxious C. eager D. busy\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u5e72\u65f1\u5df2\u7ecf\u6301\u7eed\u4e86\u51e0\u4e2a\u6708,\u519c\u6c11\u4eec\u5bf9\u6536\u6210\u611f\u5230\u7126\u8651\u3002A. astonished\u60ca\u8bb6\u7684;B. anxious\u7126\u8651\u7684;C. eager\u6e34\u671b\u7684;D. busy\u7e41\u5fd9\u7684\u3002be anxious about\u201c\u5bf9\u2026\u2026\u611f\u5230\u7126\u8651\u201d,\u5e72\u65f1\u4f1a\u5f71\u54cd\u6536\u6210,\u519c\u6c11\u4eec\u81ea\u7136\u4f1a\u611f\u5230\u7126\u8651,\u6545B\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe atmosphere gets thinner and thinner _ the height increases. A. while B. since C. as D. for\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fde\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u968f\u7740\u9ad8\u5ea6\u7684\u589e\u52a0,\u5927\u6c14\u53d8\u5f97\u8d8a\u6765\u8d8a\u7a00\u8584\u3002A. while\u5f53\u2026\u2026\u65f6;B. since\u81ea\u4ece\u2026\u2026\u4ee5\u6765;C. as\u968f\u7740\u2026\u2026;D. for\u56e0\u4e3a\u3002\u8fd9\u91cc\u8868\u793a\u4f34\u968f,\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aBy the time he was 4 years old, he _ 100 English words. A. learns B. will have learned C. has learned D. had learned\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fc7\u53bb\u5b8c\u6210\u65f6\u3002\u53e5\u610f:\u5230\u4ed64\u5c81\u7684\u65f6\u5019,\u4ed6\u5df2\u7ecf\u5b66\u4f1a\u4e86100\u4e2a\u82f1\u8bed\u5355\u8bcd\u3002by the time\u5f15\u5bfc\u7684\u65f6\u95f4\u72b6\u8bed\u4ece\u53e5,\u4ece\u53e5\u8fc7\u53bb\u65f6,\u4e3b\u53e5\u7528\u8fc7\u53bb\u5b8c\u6210\u65f6\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011by the time\u610f\u4e3a\u201c\u5230\u2026\u2026\u65f6\u5019(\u4e3a\u6b62)\u201d,\u662f\u4e00\u4e2a\u4ecb\u8bcd\u77ed\u8bed,\u5728\u53e5\u4e2d\u7ecf\u5e38\u8d77\u8fde\u8bcd\u4f5c\u7528,\u5f15\u5bfc\u65f6\u95f4\u72b6\u8bed\u4ece\u53e5\u3002\u5b83\u7684\u4e3b\u8981\u7528\u6cd5\u5982\u4e0b: 1. \u5982\u679c\u4ece\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u662f\u4e00\u822c\u8fc7\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: D. told\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fc7\u53bb\u5206\u8bcd\u4f5c\u72b6\u8bed\u3002\u53e5\u610f:\u5c3d\u7ba1\u88ab\u544a\u77e5\u6709\u5371\u9669,\u5e03\u6717\u5148\u751f\u4ecd\u7136\u5192\u7740\u751f\u547d\u5371\u9669\u53bb\u6551\u706b\u707e\u4e2d\u7684\u7537\u5b69\u3002\u6b64\u5904\u53e5\u5b50\u4e3b\u8bedMr. Brown\u548ctell\u4e4b\u95f4\u662f\u4e00\u79cd\u88ab\u52a8\u5173\u7cfb,\u4e0e\u8fde\u8bcdThough\u4e00\u8d77\u5f15\u5bfc\u4f5c\u8ba9\u6b65\u72b6\u8bed,\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHe sold this car for only 2000 dollars, so the buyer got a wonderful_. A. cost B. worth C. value D. bargain\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u3002A. cost\u8d39\u7528; B. worth\u4ef7\u503c,\u8d22\u4ea7; C. value\u4ef7\u503c; D. bargain\u4ea4\u6613,\u4fbf\u5b9c\u8d27\u3002\u53e5\u610f:\u4ed6\u4ee5\u4e8c\u5343\u7f8e\u5143\u7684\u4ef7\u683c\u628a\u8fd9\u8f86\u8f66\u5356\u4e86,\u4e70\u4e3b\u4e70\u5f97\u5f88\u4fbf\u5b9c\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u7b54\u6848\u4e3aD\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe observer\u2019s statement about the accident was very ; we know almost everything about it now. A. specific B. especial C. particular D. special\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u65c1\u89c2\u8005\u5173\u4e8e\u4e8b\u6545\u7684\u9648\u8ff0\u975e\u5e38\u5177\u4f53;\u6211\u4eec\u73b0\u5728\u51e0\u4e4e\u5bf9\u5b83\u4e86\u5982\u6307\u638c\u3002A. specific \u5177\u4f53\u7684; B. especial\u5c24\u5176\u7684; C. particular\u7279\u6b8a\u7684; D. special\u975e\u4e00\u822c\u7684\u3002\u7531\u201c everything \u201d\u53ef\u77e5,\u65c1\u89c2\u8005\u5173\u4e8e\u4e8b\u6545\u7684\u9648\u8ff0\u975e\u5e38\u5177\u4f53\u3002\u6545A\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWhat will the world use for power when it has _ oil? A. given out of B. given out C. run out of D. run out\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u77ed\u8bed\u3002\u53e5\u610f:\u5f53\u77f3\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: that B. it C. this D. \u4e0d\u586b\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ee3\u8bcdit\u7684\u7528\u6cd5\u3002\u53e5\u610f:\u6211\u4eec\u53d1\u73b0\u4e0e\u6211\u4eec\u8fd9\u91cc\u7684\u65b0\u8001\u5e08\u76f8\u5904\u5f88\u5bb9\u6613\u3002\u6b64\u5904it\u4f5c\u5f62\u5f0f\u5bbe\u8bed,\u800c\u771f\u6b63\u7684\u5bbe\u8bed\u4e3a\u540e\u9762\u7684\u4e0d\u5b9a\u5f0f\u7ed3\u6784to get along with our new teachers here\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a_ all of them are strong candidates, only one will be chosen for the post. A. Since B. While C. Once D. As\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u72b6\u8bed\u4ece\u53e5\u8fde\u8bcd\u3002\u53e5\u610f:\u5c3d\u7ba1\u4ed6\u4eec\u90fd\u662f\u5f3a\u6709\u529b\u7684\u5019\u9009\u4eba,\u4f46\u53ea\u6709\u4e00\u4e2a\u4eba\u53ef\u4ee5\u88ab\u9009\u4e2d\u62c5\u4efb\u8fd9\u4e2a\u804c\u4f4d\u3002\u8fde\u8bcdwhile\u610f\u4e3a\u201c\u5f53\u2026\u2026\u65f6;\u5c3d\u7ba1;\u7136\u800c;\u201d\u672c\u53e5\u4e2d\u8868\u793a\u201c\u5c3d\u7ba1\u201d,\u5f15\u5bfc\u8ba9\u6b65\u72b6\u8bed\u4ece\u53e5\u3002\u6545B\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u672c\u9898\u8003\u67e5\u4e86while\u7684\u7528\u6cd5,\u5728\u82f1\u8bed\u7684\u4ece\u53e5\u91cc\u8fde\u8bcdwhile\u7684\u7528\u6cd5\u662f\u6bd4\u8f83\u590d\u6742\u7684\u3002 \u4e00\u3001while\u4f5c\u4e3a\u5e76\u5217\u8fde\u8bcd,\u610f\u601d\u4e3a\u201c\u800c,\u7136\u800c\u201d,\u8868\u524d\u540e\u610f\u4e49\u4e0a\u7684\u5bf9\u6bd4\u6216\u8f6c\u6298\u3002 \u4f8b\u5982:There\u2019s plenty of rain in the southeast, while there's little in the northeast. \u4e1c\u5357\u90e8\u96e8\u91cf\u5145\u8db3,\u800c\u897f\u5317\u90e8\u5219\u5f88\u5c11\u4e0b\u96e8\u3002 Some people waste food while others haven't enough. \u6709\u4e9b\u4eba\u6d6a\u8d39\u7cae\u98df,\u7136\u800c\u6709\u4e9b\u4eba\u5374\u5403\u4e0d\u9971\u3002 \u4e8c\u3001\u53e6\u5916while\u8fd8\u6709\u522b\u7684\u7528\u6cd5,while\u5f15\u5bfc\u72b6\u8bed\u4ece\u53e5,\u6709\u4ee5\u4e0b\u4e24\u79cd\u542b\u4e49: 1.\u8868\u793a\u67d0\u4e2a\u52a8\u4f5c\u6b63\u5728\u8fdb\u884c\u7684\u540c\u65f6,\u53e6\u4e00\u52a8\u4f5c\u4e5f\u5728\u8fdb\u884c\u4e4b\u4e2d,\u8fd9\u65f6\u4e3b\u4ece\u53e5\u90fd\u7528\u8fdb\u884c\u65f6\u6001,\u6709\u5bf9\u540c\u7c7b\u7684\u4e24\u4e2a\u52a8\u4f5c\u8fdb\u884c\u5bf9\u6bd4\u7684\u610f\u5473.\u5982: While I was playing the piano, she was dancing.\u6211\u5728\u5f39\ufffd\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u201d,\u662f\u4e00\u4e2a\u4ecb\u8bcd\u77ed\u8bed,\u5728\u53e5\u4e2d\u7ecf\u5e38\u8d77\u8fde\u8bcd\u4f5c\u7528,\u5f15\u5bfc\u65f6\u95f4\u72b6\u8bed\u4ece\u53e5\u3002\u5b83\u7684\u4e3b\u8981\u7528\u6cd5\u5982\u4e0b: 1. \u5982\u679c\u4ece\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u662f\u4e00\u822c\u8fc7\u53bb\u65f6,\u90a3\u4e48\u4e3b\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u901a\u5e38\u7528\u8fc7\u53bb\u5b8c\u6210\u65f6,\u8868\u793a\u201c\u622a\u6b62\u5230\u4ece\u53e5\u52a8\u4f5c\u53d1\u751f\u65f6,\u4e3b\u53e5\u52a8\u4f5c\u5df2\u7ecf\u5b8c\u6210,\u5373\u8fc7\u53bb\u7684\u8fc7\u53bb\u201d\u3002 2. \u5982\u679c\u4ece\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u4e3a\u4e00\u822c\u73b0\u5728\u65f6(\u8868\u793a\u5c06\u6765),\u90a3\u4e48\u4e3b\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u5e38\u4e3a\u5c06\u6765\u5b8c\u6210\u65f6,\u8868\u793a\u201c\u622a\u6b62\u5230\u5c06\u6765\u67d0\u4e00\u65f6\u95f4\u4e3a\u6b62,\u4e3b\u53e5\u52a8\u4f5c\u5c06\u5df2\u7ecf\u5b8c\u6210\u201d\u3002 3. \u5982\u679c\u4e3b\u53e5\u52a8\u4f5c\u4e0d\u5f3a\u8c03\u5df2\u7ecf\u5b8c\u6210,\u53ea\u662f\u8bf4\u660e\u8fc7\u53bb\u67d0\u4e2a\u65f6\u5019\u7684\u72b6\u51b5,\u6b64\u65f6\u4e3b\u53e5\u4e0d\u7528\u5b8c\u6210\u65f6,\u800c\u5e94\u6839\u636e\u5b9e\u9645\u9700\u8981\u9009\u7528\u9002\u5f53\u7684\u65f6\u6001,\u6b64\u65f6by the time\u76f8\u5f53\u4e8ewhen\u3002 \u672c\u53e5\u7b26\u5408\u7b2c\u4e00\u70b9\u7528\u6cd5,\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIt was the middle of the night _ my father woke me up and told me to watch the football game. A. that B. when C. since D. which\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fde\u8bcd\u3002\u53e5\u610f:\u90a3\u662f\u534a\u591c,\u7236\u4eb2\u628a\u6211\u53eb\u9192,\u53eb\u6211\u770b\u8db3\u7403\u8d5b\u3002\u672c\u53e5\u662fwhen\u5f15\u5bfc\u7684\u65f6\u95f4\u72b6\u8bed\u4ece\u53e5,\u6545B\u9009\u9879\u6b63\u786e\u3002\u672c\u53e5\u4e0d\u662f\u5f3a\u8c03\u53e5,\u5982\u679c\u628aIt was\u53bb\u6389,\u53e5\u5b50\u5e76\u4e0d\u6210\u7acb,the middle of the night\u524d\u7f3a\u5c11\u4ecb\u8bcd\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a-Madam, if you like I can give you a lift to the downtown area. - That\u2019s a very kind _. A. service B. offer C. promise D. choice\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u540d\u8bcd\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffd\u5206\u5229\u7528 make up for \u8865\u507f,\u5f25\u8865 make a difference \u6709\u5f71\u54cd,\u6709\u5173\u7cfb make good use of \u5145\u5206\u5229\u7528;\u5f88\u597d\u5730\u4f7f\u7528 make out \u7406\u89e3;\u8fa8\u8ba4\u51fa;\u8bf4\u660e;\u586b\u5199;\u8bbe\u6cd5\u5e94\u4ed8 make for \u5bfc\u81f4;\u6709\u52a9\u4e8e;\u8d70\u5411 make it possible \u4f7f\u5b83\u53d8\u6210\u53ef\u80fd make a living \u8c0b\u751f,\u7ef4\u6301\u751f\u6d3b make decision \u4f5c\u51b3\u5b9a;\u4e0b\u51b3\u5fc3\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aShe just got on with her job, _ the furniture, washing the clothes, helping with the shopping and the cooking, sometimes taking him to school and collecting him again, although that had been more common when Bruno was eight; when he turned nine he decided he was old enough to make his way- there and home alone. A. polishing B. discarding C. resisting D. irritating\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8fa8\u6790\u3002A. polishing\u629b\u5149;B. discarding\u4e22\u5f03;C. resisting\u62b5\u5236;D. irritating\u523a\u6fc0\u3002\u53e5\u610f:\u5979\u53ea\u662f\u7ee7\u7eed\u5979\u7684\u5de5\u4f5c,\u64e6\u4eae\u5bb6\u5177\u3001\u6d17\u8863\u670d\u3001\u5e2e\u5fd9\u4e70\u4e1c\u897f\u548c\u505a\u996d,\u6709\u65f6\u5e26\u4ed6\u53bb\u5b66\u6821\u3001\u518d\u63a5\u4ed6,\u5c3d\u7ba1\u5728\u5e03\u9c81\u8bfa8\u5c81\u7684\u65f6\u5019\u8fd9\u79cd\u60c5\u51b5\u66f4\u5e38\u89c1;\u5f53\u4ed6\u4e5d\u5c81\u7684\u65f6\u5019,\u4ed6\u89c9\u5f97\u81ea\u5df1\u5df2\u7ecf\u8db3\u591f\u5927\u4e86,\u53ef\u4ee5\u81ea\u5df1\u8d70\u81ea\u5df1\u7684\u8def\u4e86\u2014\u2014\u53bb\u90a3\u91cc,\u7136\u540e\u72ec\u81ea\u56de\u5bb6\u3002\u6545A\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThough _ of the danger, Mr. Brown still risked his life to save the boy in the fire. A. having told B. being told C. to be told D. told\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fc7\u53bb\u5206\u8bcd\u4f5c\u72b6\u8bed\u3002\u53e5\u610f:\u5c3d\u7ba1\u88ab\u544a\u77e5\u6709\u5371\u9669,\u5e03\u6717\u5148\u751f\u4ecd\u7136\u5192\u7740\u751f\u547d\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI can\u2019t stay out overnight without my parents\u2019_. A. obedience B. privacy C. affection D. approval\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u6ca1\u6709\u7236\u6bcd\u7684\u540c\u610f,\u6211\u4e0d\u80fd\u5728\u5916\u9762\u8fc7\u591c\u3002A. obedience\u670d\u4ece;B. privacy\u9690\u79c1;C. affection\u5f71\u54cd;D. approval\u540c\u610f\u3002\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aScientists have made a major _ in the treatment of cancer. A. barrier B. breakthrough C. companion D. concern\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u79d1\u5b66\u5bb6\u5728\u764c\u75c7\u6cbb\u7597\u65b9\u9762\u53d6\u5f97\u4e86\u91cd\u5927\u7a81\u7834\u3002A. barrier\u969c\u788d\u7269;B. breakthrough\u7a81\u7834;C. companion \u540c\u4f34;D. concern\u5173\u5fc3\u3002\u77ed\u8bedmake a breakthrough\u7a81\u7834\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aAccording to Professor Smith, the best approach _ a foreign language is to study the spoken language. A. to learn B. to learning C. of learning D. on learning\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u56fa\u5b9a\u642d\u914d\u3002\u53e5\u610f:\u53f2\u5bc6\u65af\u6559\u6388\u8ba4\u4e3a,\u5b66\u4e60\u5916\u8bed\u7684\u6700\u597d\u65b9\u6cd5\u662f\u5b66\u4e60\u53e3\u8bed\u3002the approach to doing sth.\u201c\u505a\u67d0\u4e8b\u7684\u65b9\u6cd5\u201d,\u6b64\u5904to\u662f\u4ecb\u8bcd,\u540e\u9762\u7528\u52a8\u540d\u8bcd\u4f5c\u8868\u8bed,\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHey, you _ at the computer all day. You should really take a break now. A. have been sitting B. were sitting C. did sit D. are sitting\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u73b0\u5728\u5b8c\u6210\u8fdb\u884c\u65f6\u6001\u3002\u53e5\u610f:\u563f,\u4f60\u6574\u5929\u90fd\u5750\u5728\u7535\u8111\u524d\u3002\u4f60\u73b0\u5728\u771f\u7684\u5e94\u8be5\u4f11\u606f\u4e00\u4e0b\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u53e5\u5b50\u7528\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: of the bench but she couldn't read the inscription from this distance. A. secured on B. tangled in C. applied to D. attached to\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. secured on\u4fdd\u8bc1;B. tangled in\u7ea0\u7f20;C. applied to\u7533\u8bf7;D. attached to\u9644\u5c5e\u4e8e\u3002\u53e5\u610f:\u957f\u51f3\u9876\u4e0a\u6302\u7740\u4e00\u5757\u724c\u533e,\u4f46\u5979\u9694\u7740\u8fd9\u4e48\u8fdc\u770b\u4e0d\u6e05\u4e0a\u9762\u7684\u94ed\u6587\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aInstead the ground was made of a sand-like substance, and as far as she could _ there was nothing but low huts and large square buildings dotted around and one or two smoke stacks in the distance. A. make sense B. make out C. make the best D. make it clear\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. make sense\u8bf4\u5f97\u901a;B. make out\u8fa8\u8ba4\u51fa;C. make the best\u5c3d\u529b\u800c\u4e3a;D. make it clear\u660e\u786e\u8868\u660e\u3002\u53e5\u610f:\u76f8\u53cd,\u5730\u9762\u662f\u7528\u6c99\u5b50\u4e00\u6837\u7684\u4e1c\u897f\u94fa\u6210\u7684,\u5728\u5979\u6240\u80fd\u770b\u5230\u7684\u8303\u56f4\u5185,\u9664\u4e86\u4f4e\u77ee\u7684\u5c0f\u5c4b\u548c\u56db\u56db\u65b9\u65b9\u7684\u5927\u697c\u623f\u5916,\u4ec0\u4e48\u4e5f\u6ca1\u6709,\u8fdc\u5904\u8fd8\u6709\u4e00\u4e24\u4e2a\u70df\u56f1\u3002\u6545B\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u52a8\u8bcd\u56fa\u5b9a\u77ed\u8bed\u8fa8\u6790\u662f\u5355\u9879\u9009\u62e9\u548c\u5b8c\u5f62\u586b\u7a7a\u4e2d\u5e38\u8003\u8003\u70b9,\u9700\u8981\u5927\u5bb6\u6ce8\u610f\u79ef\u7d2f\u3002\u4f8b\u5982make\u7684\u4e00\u4e9b\u8bcd\u7ec4: make sure that\u786e\u4fe1;\u8bc1\u5b9e make up \u5f25\u8865;\u7ec4\u6210;\u5316\u5986;\u6574\u7406 make full use of \u5145\u5206\u5229\u7528 make up for \u8865\u507f,\u5f25\u8865 make a difference \u6709\u5f71\u54cd,\u6709\u5173\u7cfb make good use of \u5145\u5206\u5229\u7528;\u5f88\u597d\u5730\u4f7f\u7528 make out \u7406\u89e3;\u8fa8\u8ba4\u51fa;\u8bf4\u660e;\u586b\u5199;\u8bbe\u6cd5\u5e94\u4ed8\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u73b0\u5728\u5b8c\u6210\u8fdb\u884c\u65f6\u6001\u3002\u53e5\u610f:\u563f,\u4f60\u6574\u5929\u90fd\u5750\u5728\u7535\u8111\u524d\u3002\u4f60\u73b0\u5728\u771f\u7684\u5e94\u8be5\u4f11\u606f\u4e00\u4e0b\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u53e5\u5b50\u7528\u73b0\u5728\u5b8c\u6210\u8fdb\u884c\u65f6\u6001,\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aOver the last three decades, the number of people participating in physical fitness programs _ sharply. A. was increasing B. has increased C. had increased D. will be increasing\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u65f6\u6001\u3002\u53e5\u610f:\u5728\u8fc7\u53bb\u7684\u4e09\u5341\u5e74\u91cc,\u53c2\u52a0\u5065\u8eab\u8ba1\u5212\u7684\u4eba\u6570\u6025\u5267\u589e\u52a0\u3002Over the last three decades\u201c\u5728\u6700\u8fd1\u768430\u5e74\u91cc\u201d\u548c\u73b0\u5728\u5b8c\u6210\u65f6\u6001\u8fde\u7528,\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWell, if Father\u2019s job means that we have to move away from our house and the sliding banister and my three best friends for life, then I think Father should _ about his job, don\u2019t you? A. have big things in mind B. let the matters drop C. stretch out D. think twice\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. have big things in mind\u80f8\u6000\u5927\u5fd7;B. let the matters drop\u8ba9\u4e8b\u60c5\u8fc7\u53bb\u5427;C. stretch out\u5c55\u5f00;D. think twice\u4e09\u601d\u800c\u540e\u884c\u3002\u53e5\u610f:\u597d\u5427,\u5982\u679c\u7236\u4eb2\u7684\u5de5\u4f5c\u610f\u5473\u7740\u6211\u4eec\u5fc5\u987b\u79bb\u5f00\u6211\u4eec\u7684\u623f\u5b50\u3001\u6ed1\u52a8\u7684\u697c\u68af\u6276\u624b\u548c\u6211\u7684\u4e09\u4e2a\u6700\u597d\u7684\u670b\u53cb,\u90a3\u4e48\u6211\u8ba4\u4e3a\u7236\u4eb2\u5e94\u8be5\u4e09\u601d\u800c\u540e\u884c,\u4e0d\u662f\u5417?\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThere was a plaque _ the top of the bench but she couldn't read the inscription from this distance. A. secured on B. tangled in C. applied to D. attached to\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. secured on\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffd\u7684\u5173\u7cfb\u4ee3\u8bcdthat\u9664\u4e86\u8fde\u63a5\u4e3b\u53e5\u548c\u4ece\u53e5\u4e4b\u5916,\u5728\u4ece\u53e5\u4e2d\u4f5c\u4e00\u5b9a\u6210\u5206,\u6709\u65f6\u53ef\u7701\u7565\u3002 Along with the letter was his promise that he would visit me this coming Christmas.\u968f\u4fe1\u4e00\u8d77\u6765\u7684\u662f\u4ed6\u7684\u627f\u8bfa,\u4ed6\u8bf4\u4f1a\u5728\u5373\u5c06\u5230\u6765\u7684\u5723\u8bde\u8282\u6765\u770b\u6211\u3002(\u540c\u4f4d\u8bed\u4ece\u53e5\u4e2d\u7684that\u4e0d\u505a\u4efb\u4f55\u6210\u5206) The suggestion (that) he made at the meeting was very right.\u4ed6\u5728\u4f1a\u8bae\u4e0a\u7ed9\u51fa\u7684\u5efa\u8bae\u662f\u6b63\u786e\u7684\u3002(\u6b64\u5b9a\u8bed\u4ece\u53e5\u4e2d\u7684that\u5728\u4ece\u53e5\u4e2d\u4f5c\u5bbe\u8bed,\u53ef\u4ee5\u7701\u7565) 2)\u4ece\u8bed\u4e49\u89d2\u5ea6\u6765\u770b,\u540c\u4f4d\u8bed\u4ece\u53e5that\u5f15\u5bfc\u7684\u4ece\u53e5\u5728\u53e5\u4e2d\u89e3\u91ca\u8bf4\u660e\u524d\u9762\u7684\u540d\u8bcd,\u800c\u5b9a\u8bed\u4ece\u53e5\u4e2dthat\u5f15\u5bfc\u7684\u4ece\u53e5\u5219\u662f\u8d77\u5230\u4fee\u9970\u9650\u5b9a\u5148\u884c\u8bcd\u7684\u4f5c\u7528\u3002 The news that we are having a holiday tomorrow is not true.\u660e\u5929\u653e\u5047\u7684\u6d88\u606f\u4e0d\u5b9e\u3002(that\u5f15\u5bfc\u7684\u4ece\u53e5\u8bf4\u660enews\u7684\u5185\u5bb9) He lost his money that had been saved for a long time.\u4ed6\u4e22\u4e86\u5b58\u4e86\u5f88\u4e45\u7684\u94b1\u3002(that\u5f15\u5bfc\u7684\u5b9a\u8bed\u4ece\u53e5,\u4fee\u9970\u9650\u5b9a\u5148\u884c\u8bcdmoney)\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aNowadays many parents tend to be tolerant _ their children\u2019s choices of majors at university. A. as a consequence of B. regardless of C. in regard to D. at the mercy of\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ecb\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. as a consequence of\u7ed3\u679c;B. regardless of\u4e0d\u7ba1;C. in regard to\u5173\u4e8e;D. at the mercy of\u652f\u914d\u3002\u53e5\u610f:\u5982\u4eca,\u8bb8\u591a\u7236\u6bcd\u5bf9\u5b50\u5973\u9009\u62e9\u5927\u5b66\u4e13\u4e1a\u6301\u5bbd\u5bb9\u6001\u5ea6\u3002\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMary worked here as a _ secretary and ended up _ a full-time job with the company. A. admirable; getting B. temporary; getting C. previous; to get D. cautious; to get\n\u3010\u7b54\u6848\u3011\uff1aB\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: make a forest\u72ec\u6728\u4e0d\u6210\u6797;B. Where there\u2019s life, there\u2019s hope\u6709\u751f\u547d\u5c31\u6709\u5e0c\u671b;C. One false step will make a great difference\u5931\u4e4b\u6beb\u5398,\u8c2c\u4e4b\u5343\u91cc;D. Never put off till tomorrow what you can do today\u4eca\u65e5\u4e8b,\u4eca\u65e5\u6bd5\u3002\u7531\u8bed\u5883I told you to be careful before.\u53ef\u77e5,\u7b54\u6848\u4e3aC\u3002\u6545C\u9009\u9879\u6b63\u786e\u3002.\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMuch to my _, my vocabulary has expanded a great deal. A. delighting B. delighted C. delight\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u56fa\u5b9a\u7528\u6cd5\u3002\u53e5\u610f:\u4ee4\u6211\u9ad8\u5174\u7684\u662f,\u6211\u7684\u8bcd\u6c47\u91cf\u5927\u5927\u589e\u52a0\u4e86\u3002\u201cmuch to +\u540d\u8bcd\u201d\u4e3a\u56fa\u5b9a\u7528\u6cd5,\u610f\u4e3a\u201c\u4f7f\u67d0\u4eba\u2026\u2026\u201d,\u56e0\u6b64\u672c\u5c0f\u9898\u8981\u7528\u540d\u8bcd\u5f62\u5f0f\u3002\u5206\u6790\u9009\u9879:delighting \u611f\u5230\u9ad8\u5174\u7684,\u4e00\u822c\u4fee\u9970\u7269;delighted\u9ad8\u5174\u7684; \u6b23\u559c\u7684,\u4e00\u822c\u4fee\u9970\u4eba;delight\u5feb\u4e50,\u9ad8\u5174\u3002\u7531\u9009\u9879\u53ef\u77e5,A\u4e0eB\u90fd\u662f\u5f62\u5bb9\u8bcd,\u53ea\u6709C\u662f\u540d\u8bcd,\u7b26\u5408\u9898\u610f,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe book _ through the air to Aunt Dede and she began to read it aloud. A. got B. pushed C. sailed\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8fa8\u6790\u3002got\u5f97\u5230;pushed\u63a8;sailed\u63a0,\u98d8,\u6d6e\u6e38\u3002\u5206\u6790\u8bed\u5883\u53ef\u77e5,\u672c\u53e5\u662f\u6307\u201c\u90a3\u672c\u4e66\u5728\u7a7a\u4e2d\u4f20\u5230(\u98d8\u5411)\u9edb\u5fb7\u59d1\u5988\u90a3,\u5979(\u62ff\u8fc7\u4e66)\u5f00\u59cb\u5927\u58f0\u6717\u8bfb\u201d\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHe has been sent to the place _ needs him most. A. where B. that C. what D. it\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5b9a\u8bed\u4ece\u53e5\u3002\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u65f6\u3002 This is the best hotel in the city that I know. \u8fd9\u662f\u6211\u6240\u77e5\u9053\u7684\u57ce\u5e02\u91cc\u6700\u597d\u7684\u65c5\u9986\u3002(best \u4e3a\u6700\u9ad8\u7ea7) 4.\u5e8f\u6570\u8bcd\u4fee\u9970\u5148\u884c\u8bcd\u65f6\u3002 The first time that they meet together was yesterday. \u4ed6\u4eec\u7b2c\u4e00\u6b21\u9047\u89c1\u662f\u5728\u6628\u5929\u3002(first \u7684\u51fa\u73b0) 5\u5f53the only,the very\u51fa\u73b0\u65f6\u3002 Before he falls in love Amanda, the only thing that he cared is himself. \u5728\u4ed6\u7231\u4e0aAmanda\u4e4b\u524d,\u4ed6\u552f\u4e00\u5728\u610f\u7684\u662f\u4ed6\u81ea\u5df1\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWe were _ on our way to the airport because of the heavy snow. A. held up B. held out C. held back D. held with\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u77ed\u8bed\u8fa8\u6790\u3002A. held up\u4e3e\u8d77,\u652f\u6491;\u963b\u6321;\u5ef6\u8bef;B. held out\u4f38\u51fa,\u575a\u6301;C. held back\u963b\u788d,\u9690\u85cf,\u514b\u5236;D. held with\u8d5e\u6210;\u53e5\u610f:\u56e0\u4e3a\u5927\u96ea,\u6211\u4eec\u88ab\u5ef6\u8bef\u5728\u53bb\u673a\u573a\u7684\u8def\u4e0a\u3002\u6839\u636e\u53e5\u610f\u53ef\u77e5A\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThere is little doubt _ the Internet is a great inventionin human history. A. whether B. that C. which D. what\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540c\u4f4d\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u6beb\u65e0\u7591\u95ee,\u5728\u4eba\u7c7b\u5386\u53f2\u4e0a\u56e0\u7279\u7f51\u662f\u4e00\u9879\u4f1f\u5927\u7684\u53d1\u660e\u3002\u53e5\u4e2d\u540c\u4f4d\u8bed\u4ece\u53e5that the Internet is a great invention in human history\u5bf9\u540d\u8bcd\u77ed\u8bedlittle doubt\u8fdb\u884c\u89e3\u91ca\u8bf4\u660e,that\u5728\u53e5\u4e2d\u4e0d\u5145\u5f53\u4efb\u4f55\u6210\u5206,\u53ea\u662f\u4e00\u4e2a\u5f15\u5bfc\u8bcd\u3002\u6545B\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u672c\u9898\u8003\u67e5\u4e86\u540c\u4f4d\u8bed\u4ece\u53e5,\u540c\u4f4d\u8bed\u662f\u5bf9\u524d\u9762\u7684\u540d\u8bcd\u7684\u89e3\u91ca\u8bf4\u660e,\u5f53\u540c\u4f4d\u8bed\u90e8\u5206\u662f\u4e2a\u53e5\u5b50\u7684\u65f6\u5019,\u5c31\u662f\u540c\u4f4d\u8bed\u4ece\u53e5,\u8fd9\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffdB\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u672c\u9898\u8003\u67e5\u4e86\u540c\u4f4d\u8bed\u4ece\u53e5,\u540c\u4f4d\u8bed\u662f\u5bf9\u524d\u9762\u7684\u540d\u8bcd\u7684\u89e3\u91ca\u8bf4\u660e,\u5f53\u540c\u4f4d\u8bed\u90e8\u5206\u662f\u4e2a\u53e5\u5b50\u7684\u65f6\u5019,\u5c31\u662f\u540c\u4f4d\u8bed\u4ece\u53e5,\u8fd9\u79cd\u7528\u6cd5\u6bd4\u8f83\"\u56fa\u5b9a\" \u4e00\u3001\u5728\u590d\u5408\u53e5\u4e2d\u7528\u4f5c\u540c\u4f4d\u8bed\u7684\u4ece\u53e5\u53eb\u540c\u4f4d\u8bed\u4ece\u53e5\u3002\u5b83\u4e00\u822c\u8ddf\u5728\u67d0\u4e9b\u540d\u8bcd\u540e\u9762,\u7528\u4ee5\u8bf4\u660e\u8be5\u540d\u8bcd\u8868\u793a\u7684\u5177\u4f53\u5185\u5bb9\u3002 I heard the news that our team had won. \u6211\u542c\u5230\u4e86\u6211\u4eec\u961f\u83b7\u80dc\u7684\u6d88\u606f\u3002 \u4e8c\u3001\u53ef\u4ee5\u8ddf\u540c\u4f4d\u8bed\u4ece\u53e5\u7684\u540d\u8bcd\u901a\u5e38\u6709news,idea,fact,promise,question,doubt,thought,hope,message,suggestion,words(\u6d88\u606f),possibility, decision\u7b49(\u4e00\u822c\u7684\u201c\u62bd\u8c61\u201d\u540d\u8bcd\u90fd\u53ef\u7528)\u3002 I\u2019ve come from Mr. wang with a message that he won\u2019t be able to see you this afternoon. \u6211\u4ece\u738b\u5148\u751f\u90a3\u91cc\u6765,\u4ed6\u8ba9\u6211\u544a\u8bc9\u4f60\u4ed6\u4eca\u5929\u4e0b\u5348\u4e0d\u80fd\u6765\u770b\u4f60\u4e86\u3002 \u4e09\u3001\u82f1\u8bed\u4e2d\u5f15\u5bfc\u540c\u4f4d\u8bed\u4ece\u53e5\u7684\u8bcd\u901a\u5e38\u6709\u8fde\u8bcdthat,whether,\u8fde\u63a5\u4ee3\u8bcdwhat,who\u3002\u8fde\u63a5\u526f\u8bcdhow, when, where\u7b49\u3002(\u6ce8:if\u4e0d\u80fd\u5f15\u5bfc\u540c\u4f4d\u8bed\u4ece\u53e5\u3002) He must answer the question whether he agrees with it or not. \u4ed6\u5fc5\u987b\u56de\u7b54\u4ed6\u662f\u5426\u540c\u610f\u8fd9\u6837\u4e00\u4e2a\u95ee\u9898\u3002 \u56db\u3001\u6709\u65f6\u540c\u4f4d\u8bed\u4ece\u53e5\u53ef\u4ee5\u4e0d\u7d27\u8ddf\u5728\u8bf4\u660e\u7684\u540d\u8bcd\u540e\u9762,\u800c\u88ab\u522b\u7684\u8bcd\u9694\u5f00\u3002 The thought came to him that maybe the enemy had fled the city. \u4ed6\u7a81\u7136\u60f3\u8d77\u654c\u4eba\u53ef\u80fd\u5df2\u7ecf\u9003\u51fa\u57ce\u4e86\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe drought had lasted several months and it made farmers _ about the harvest. A. astonished B. anxious C. eager D. busy\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u5e72\u65f1\u5df2\u7ecf\u6301\u7eed\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u3010\u9898\u5e72\u3011\uff1aChina Daily is _a newspaper, for it also can serve as a useful textbook for English study. A. more than B. more or less C. less than D. no more than\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8bcd\u7ec4\u3002A. more than\u8d85\u8fc7,\u4e0d\u4ec5\u4ec5\u662f;B. more or less\u6216\u591a\u6216\u5c11;C. less than\u5c11\u4e8e; D. no more than\u4ec5\u4ec5\u3002\u53e5\u610f:\u4e2d\u56fd\u65e5\u62a5\u4e0d\u4ec5\u662f\u4e00\u4efd\u62a5\u7eb8,\u5b83\u8fd8\u53ef\u4ee5\u5e2e\u6211\u4eec\u63d0\u9ad8\u82f1\u8bed\u6c34\u5e73\u3002more than\u540e\u63a5\u540d\u8bcd\u8868\u793a\u201c\u4e0d\u4ec5\u4ec5\u662f\u201d\u3002\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aDue to frequent layoffs, there is anxiety among the employees _ they may one day be out of work. A. when B. how C. why D. that\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fde\u8bcd\u3002A. when\u5f53\u2026\u2026\u7684\u65f6\u5019;B. how\u5982\u4f55,\u600e\u4e48;C. why\u4e3a\u4ec0\u4e48;D. that(\u5f15\u5bfc\u540d\u8bcd\u6027\u4ece\u53e5,\u4e0d\u505a\u53e5\u5b50\u6210\u5206,\u53ea\u8d77\u8fde\u63a5\u4f5c\u7528)\u3002\u53e5\u610f:\u7531\u4e8e\u9891\u7e41\u7684\u88c1\u5458,\u5458\u5de5\u4eec\u62c5\u5fc3\u6709\u4e00\u5929\u4f1a\u5931\u4e1a\u3002\u6839\u636e\u53e5\u610f\u53ca\u53e5\u5b50\u7ed3\u6784\u5206\u6790\u53ef\u77e5,\u6b64\u5904\u4e3aanxiety\u7684\u540c\u4f4d\u8bed\u4ece\u53e5,\u4ece\u53e5\u53e5\u5b50\u6210\u5206\u9f50\u5168,\u5e94\u4f7f\u7528that\u5f15\u5bfc\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011that\u5f15\u5bfc\u540c\u4f4d\u8bed\u4ece\u53e5\u548c\u5b9a\u8bed\u4ece\u53e5\u7684\u533a\u522b: 1)\u4ece\u53e5\u6cd5\u89d2\u5ea6\u6765\u770b,\u5f15\u5bfc\u540c\u4f4d\u8bed\u4ece\u53e5\u7684\u8fde\u8bcdthat\u53ea\u8d77\u8fde\u63a5\u4f5c\u7528,\u5728\u4ece\u53e5\u4e2d\u4e0d\u4f5c\u4efb\u4f55\u6210\u5206,\u4f46\u4e0d\u53ef\u4ee5\u7701\u7565;\u800c\u5f15\u5bfc\u5b9a\u8bed\u4ece\u53e5\u7684\u5173\u7cfb\u4ee3\u8bcdthat\u9664\u4e86\u8fde\u63a5\u4e3b\u53e5\u548c\u4ece\u53e5\u4e4b\u5916,\u5728\u4ece\u53e5\u4e2d\u4f5c\u4e00\u5b9a\u6210\u5206,\u6709\u65f6\u53ef\u7701\u7565\u3002 Along with the letter was his promise that he would visit me this coming Christmas.\u968f\u4fe1\u4e00\u8d77\u6765\u7684\u662f\u4ed6\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u53e5\u610f:\u53ea\u8981\u4f60\u5c3d\u529b\u800c\u4e3a,\u5373\u4f7f\u5c06\u6765\u53ef\u80fd\u5931\u8d25\u4e5f\u4e0d\u4f1a\u6709\u4eba\u6307\u8d23\u4f60\u3002A. as though\u4eff\u4f5b;B. in case\u4e07\u4e00;C. now that\u65e2\u7136;D. even if\u5373\u4f7f\u3002\u524d\u540e\u662f\u8ba9\u6b65\u5173\u7cfb,\u6b64\u5904\u5e94\u7528even if\u5f15\u5bfc\u8ba9\u6b65\u72b6\u8bed\u4ece\u53e5\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI\u2019ve spent _ most exciting day today, for _ younger of my two sons has been admitted into the university. A. a;a B. a;the C. the;a D. the;/\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u51a0\u8bcd\u7684\u7528\u6cd5\u3002\u53e5\u610f:\u6211\u4eca\u5929\u5ea6\u8fc7\u4e86\u975e\u5e38\u5174\u594b\u7684\u4e00\u5929,\u56e0\u4e3a\u6211\u4e24\u4e2a\u513f\u5b50\u4e2d\u8f83\u5c0f\u7684\u90a3\u4e00\u4e2a\u5df2\u7ecf\u88ab\u5927\u5b66\u5f55\u53d6\u3002a/an + most +\u5f62\u5bb9\u8bcd\"\u975e\u5e38\u2026\u2026\"\u3002\u800c\u6307\"\u4e24\u4e2a\u4e2d\u8f83\u2026\u2026\u7684\"\u65f6,\u5e38\u5e38\u7528the + \u6bd4\u8f83\u7ea7+ of the two\u3002 \u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThey have read the paper many times, but it doesn\u2019t make any _. A. sense B. value C. mark D. symbol\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8fa8\u6790\u548c\u642d\u914d\u3002\u53e5\u610f:\u4ed6\u4eec\u5df2\u7ecf\u8bfb\u4e86\u8fd9\u7bc7\u8bba\u6587\u5f88\u591a\u904d\u4e86,\u4f46\u662f\u8fd8\u662f\u6ca1\u6709\u7406\u89e3\u3002sense\u610f\u4e49;value\u4ef7\u503c;mark\u6807\u5fd7;symbol\u8c61\u5f81\u3002make sense\u6709\u610f\u4e49, \u7406\u89e3,\u8bb2\u5f97\u901a\u3002\u6839\u636e\u8bed\u5883\u53ef\u77e5A\u7b26\u5408\u9898\u610f,\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aYesterday she got _, giving us no choice but to send her to the nearest hospital. A. sicker and sicker B. sick and sick C. more sicker D. less sicker\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u6bd4\u8f83\u7ea7\u3002\u53e5\u610f:\u6628\u5929\u5979\u7684\u75c5\u53d8\u5f97\u8d8a\u6765\u8d8a\u4e25\u91cd\u4e86,\u6211\u4eec\u522b\u65e0\u9009\u62e9\u53ea\u80fd\u9001\u5979\u53bb\u4e86\u6700\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: :\u4ed6\u5bf9\u8fd9\u4ef6\u4e8b\u4fdd\u6301\u6c89\u9ed8,\u56e0\u4e3a\u4ed6\u4e0d\u60f3\u5192\u9669\u5377\u5165\u5176\u4e2d\u3002\u56fa\u5b9a\u642d\u914d:risk doing sth.\u201c\u5192\u9669\u505a\u67d0\u4e8b\u201d,\u4e14\u53e5\u5b50\u4e3b\u8bedhe\u548cinvolve\u4e4b\u95f4\u662f\u4e00\u79cd\u88ab\u52a8\u5173\u7cfb,\u6240\u4ee5\u8fd9\u91cc\u8981\u7528\u52a8\u540d\u8bcd\u4e00\u822c\u5f0f\u7684\u88ab\u52a8\u5f0f,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a_in voluntary work makes him feel happy and fulfilled. A. Participate B. Participated C. Participating D. Having participated\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u975e\u8c13\u8bed\u52a8\u8bcd\u3002\u53e5\u610f:\u53c2\u4e0e\u5fd7\u613f\u5de5\u4f5c\u4f7f\u4ed6\u611f\u5230\u5feb\u4e50\u548c\u6ee1\u8db3\u3002\u5206\u6790\u53e5\u5b50\u53ef\u77e5,\u53e5\u4e2d\u7f3a\u5c11\u4e3b\u8bed,\u6545\u7528\u52a8\u540d\u8bcd\u77ed\u8bed\u4f5c\u4e3b\u8bed\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe doctor tried to _ me that my mother would be fine. A. whistle B. emerge C. reassure D. bend\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u533b\u751f\u8bd5\u56fe\u8ba9\u6211\u653e\u5fc3,\u6211\u7684\u6bcd\u4eb2\u4f1a\u597d\u7684\u3002A. whistle\u5439\u53e3\u54e8;B. emerge\u6d6e\u73b0;C. reassure\u4f7f\u2026\u2026\u5b89\u5fc3;D. bend\u5f2f\u66f2\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aNew Zealand is home to around 16,000 bird _,double the number in all Europe. A. cures B. residents C. budgets D. species\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u65b0\u897f\u5170\u62e5\u6709\u5927\u7ea616,000\u79cd\u9e1f\u7c7b,\u662f\u6b27\u6d32\u603b\u6570\u7684\u4e24\u500d\u3002A. cures\u6cbb\u7597;B. residents\u5c45\u6c11;C. budgets\u9884\u7b97;D. species\u79cd\u7c7b\u3002\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMr. Painter wanted to design a new system to _ the water in his garden in heavy rains. A. retreat B.\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u3002\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMary worked here as a _ secretary and ended up _ a full-time job with the company. A. admirable; getting B. temporary; getting C. previous; to get D. cautious; to get\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u53ca\u56fa\u5b9a\u642d\u914d\u3002A. admirable\u4ee4\u4eba\u7fa1\u6155\u7684;B. temporary\u4e34\u65f6\u7684;C. previous\u5148\u524d\u7684;D. cautious\u8c28\u614e\u7684\u3002\u53e5\u610f:\u739b\u4e3d\u4f5c\u4e3a\u4e00\u4e2a\u4e34\u65f6\u79d8\u4e66\u5728\u8fd9\u91cc\u5de5\u4f5c,\u6700\u7ec8\u5728\u8fd9\u5bb6\u516c\u53f8\u5f97\u5230\u4e00\u4efd\u5168\u804c\u5de5\u4f5c\u3002\u56fa\u5b9a\u642d\u914d:end up doing sth. \u201c\u6700\u7ec8\u505a\u67d0\u4e8b\u201d\u3002\u6545B\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIt was obvious that there was _ between accounts of the witnesses for the murder case, so the judgment was not announced in court. A. security B. relation C. conflict D. revision\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8fa8\u6790\u3002A. security\u5b89\u5168;B. relation\u5173\u7cfb;C. conflict\u51b2\u7a81;D. revision\u590d\u4e60\u3002\u53e5\u610f:\u5f88\u660e\u663e,\u8c0b\u6740\u6848\u76ee\u51fb\u8005\u7684\u53d9\u8ff0\u6709\u51b2\u7a81,\u6240\u4ee5\u6cd5\u5ead\u6ca1\u6709\u5ba3\u5e03\u5224\u51b3\u3002\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a\u2014 Tom, what a pity! I almost succeeded yesterday. \u2014_. I told you to be careful before. A. One tree does not make a forest B. Where there\u2019s life, there\u2019s hope C. One false step will make a great difference D. Never put off till tomorrow what you can do today\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8c1a\u8bed\u8fa8\u6790\u3002A. One tree does not make a forest\u72ec\u6728\u4e0d\u6210\u6797;B. Where there\u2019s life, there\u2019s hope\u6709\u751f\u547d\u5c31\u6709\u5e0c\u671b;C. One false step will make a great difference\u5931\u4e4b\u6beb\u5398,\u8c2c\u4e4b\u5343\u91cc;D. Never put off till tomorrow what\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u8bfb\u201d\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHe has been sent to the place _ needs him most. A. where B. that C. what D. it\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5b9a\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u4ed6\u5df2\u7ecf\u88ab\u6d3e\u5230\u6700\u9700\u8981\u4ed6\u7684\u5730\u65b9\u4e86\u3002\u672c\u9898\u5b9a\u8bed\u4ece\u53e5\u7684\u5148\u884c\u8bcd\u662fthe place,\u5b9a\u8bed\u4ece\u53e5\u4e2d\u7f3a\u5c11\u4e3b\u8bed,\u8981\u7528\u5173\u7cfb\u4ee3\u8bcdthat\u6307\u4ee3\u5148\u884c\u8bcd,\u5f15\u5bfc\u5b9a\u8bed\u4ece\u53e5\u5e76\u5728\u53e5\u4e2d\u505a\u4e3b\u8bed\u3002CD\u9879\u4e0d\u80fd\u5f15\u5bfc\u5b9a\u8bed\u4ece\u53e5,where\u8981\u5728\u53e5\u4e2d\u505a\u72b6\u8bed\u3002\u6545B\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u672c\u9898\u8003\u67e5\u4e86\u5173\u7cfb\u4ee3\u8bcdthat\u7684\u7528\u6cd5,that\u662f\u6bd4\u8f83\u5e38\u89c1\u7684\u5173\u7cfb\u4ee3\u8bcd,\u5e76\u4e14\u6709\u7684\u65f6\u5019\u662f\u53ea\u80fd\u7528that\u3002\u63a5\u4e0b\u6765\u5c31\u770b\u770b\u65f6\u5019\u53ea\u7528that\u7684\u60c5\u51b5\u3002 1\u5f53\u5148\u884c\u8bcd\u662fanything,everything,nothing,few,all,alone,little,some\u7b49\u6307\u4eba\u6216\u7269\u7684\u4ee3\u8bcd\u65f6\u3002\u6216\u8005\u662f\u6709\u8bf8\u5982every,any,all,no,much\u7b49\u8bcd\u4fee\u9970\u65f6\u3002 There seems to be nothing that can help you. \u4f3c\u4e4e\u6ca1\u6709\u4efb\u4f55\u4e8b\u53ef\u4ee5\u5e2e\u4f60\u3002(nothing \u51fa\u73b0) B. All that can be applied in the research have been rejected. \u6240\u6709\u80fd\u88ab\u8fd0\u7528\u4e8e\u7814\u7a76\u7684\u90fd\u88ab\u5426\u51b3\u4e86\u3002(all\u7684\u51fa\u73b0) 2 \u5f53\u5148\u884c\u8bcd\u65e2\u6709\u4eba\u4e5f\u6709\u4e8b\u7269\u3002 A. The talked the people and things in the bar that they remember. \u4ed6\u4eec\u8c08\u8bba\u7740\u4ed6\u4eec\u8bb0\u8d77\u7684\u9152\u5427\u7684\u4eba\u548c\u4e8b\u3002(\u4eba\u548c\u7269\u7684\u51fa\u73b0) 3 \u6709\u5f62\u5bb9\u8bcd\u6700\u9ad8\u7ea7\u4fee\u9970\u5148\u884c\u8bcd\u65f6\u3002 This is the best hotel in the city that I know. \u8fd9\u662f\u6211\u6240\u77e5\u9053\u7684\u57ce\u5e02\u91cc\u6700\u597d\u7684\u65c5\u9986\u3002(best \u4e3a\u6700\u9ad8\u7ea7) 4.\u5e8f\u6570\u8bcd\u4fee\u9970\u5148\u884c\u8bcd\u65f6\u3002 The first time that they meet together\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: sicker\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u6bd4\u8f83\u7ea7\u3002\u53e5\u610f:\u6628\u5929\u5979\u7684\u75c5\u53d8\u5f97\u8d8a\u6765\u8d8a\u4e25\u91cd\u4e86,\u6211\u4eec\u522b\u65e0\u9009\u62e9\u53ea\u80fd\u9001\u5979\u53bb\u4e86\u6700\u8fd1\u7684\u533b\u9662\u3002sicker\u672c\u8eab\u662f\u6bd4\u8f83\u7ea7\u5f62\u5f0f,\u5176\u524d\u4e0d\u53ef\u518d\u52a0more\u6216less,\u6392\u9664C\u3001D\u4e24\u9879;\u8868\u793a\u7a0b\u5ea6\u4e0d\u65ad\u52a0\u6df1\u8981\u7528\"\u6bd4\u8f83\u7ea7+and+\u6bd4\u8f83\u7ea7\"\u7ed3\u6784,\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aAs a great scientist, little joy can equal_ of being awarded the Nobel Prize. A. that B. this C. it D. one\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ee3\u8bcd\u3002\u53e5\u610f:\u4f5c\u4e3a\u4e00\u4e2a\u4f1f\u5927\u7684\u79d1\u5b66\u5bb6,\u4efb\u4f55\u559c\u60a6\u90fd\u8d76\u4e0d\u4e0a\u83b7\u5f97\u8bfa\u8d1d\u5c14\u5956\u3002\u7a7a\u5904\u6307\u4ee3\"\u83b7\u5f97\u8bfa\u8d1d\u5c14\u5956\u7684\u559c\u60a6\",\u4e0e\u524d\u9762\u7684\"joy\"\u76f8\u6bd4\u662f\u540c\u7c7b\u4e0d\u540c\u7269,\u5e94\u4f7f\u7528that\u4ee3\u66ff\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aFor Lucy, the most necessary thing is to find a suitable job, _ in which she can earn her living and fulfill her potential. A. that B. it C. the one D. one\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u66ff\u4ee3\u3002\u53e5\u610f:\u5bf9Lucy\u6765\u8bf4,\u5f53\u52a1\u4e4b\u6025\u662f\u627e\u5230\u4e00\u4efd\u5408\u9002\u7684\u5de5\u4f5c,\u4e00\u4efd\u80fd\u591f\u8ba9\u5979\u8c0b\u751f\u5e76\u53d1\u6325\u6f5c\u529b\u7684\u5de5\u4f5c\u3002\u8fd9\u91ccone\u6307\u4ee3a suitable job,\u5728\u53e5\u4e2d\u4f5ca suitable job\u7684\u540c\u4f4d\u8bed\u3002\u6545\u7b54\u6848\u4e3aD\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWe find _easy to get along with our new teachers here. A. that B. it C. this D. \u4e0d\u586b\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ee3\u8bcdit\u7684\u7528\u6cd5\u3002\u53e5\u610f:\u6211\u4eec\u53d1\u73b0\u4e0e\u6211\u4eec\u8fd9\u91cc\u7684\u65b0\u8001\u5e08\u76f8\u5904\u5f88\u5bb9\u6613\u3002\u6b64\u5904\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u3010\u9898\u5e72\u3011\uff1a-Madam, if you like I can give you a lift to the downtown area. - That\u2019s a very kind _. A. service B. offer C. promise D. choice\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u540d\u8bcd\u8fa8\u6790\u3002A. service\u670d\u52a1; B. offer\u63d0\u8bae; C. promise\u8bb8\u8bfa; D. choice\u9009\u62e9\u3002\u53e5\u610f:\u2014\u592b\u4eba,\u5982\u679c\u60a8\u613f\u610f,\u6211\u53ef\u4ee5\u8f7d\u60a8\u5230\u5e02\u4e2d\u5fc3\u3002\u2014\u8fd9\u662f\u4e00\u4e2a\u975e\u5e38\u597d\u7684\u63d0\u8bae\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u7b54\u6848\u4e3aB\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a- Have you ever been to Provence which is home to lavender(\u85b0\u8863\u8349) in Paris? - Yes, only once. I _ there for a week. A. had stayed B. were staying C. have stayed D. stayed\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u65f6\u6001\u3002\u53e5\u610f:\u2014\u4f60\u53bb\u8fc7\u5df4\u9ece\u85b0\u8863\u8349\u7684\u6545\u4e61\u666e\u7f57\u65fa\u65af\u5417?\u2014\u662f\u7684,\u53ea\u6709\u4e00\u6b21\u3002\u6211\u5728\u90a3\u91cc\u5446\u4e86\u4e00\u4e2a\u661f\u671f\u3002\u6b64\u5904\u662f\u6307\u8fc7\u53bb\u53d1\u751f\u7684\u4e00\u4ef6\u4e8b,\u4e0e\u73b0\u5728\u65e0\u5173,\u6240\u4ee5\u7528\u4e00\u822c\u8fc7\u53bb\u65f6\u6001,\u6545\u7b54\u6848\u4e3aD\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aDue to the frequent school shootings, the only way the president could imagine _ such tragedies was to ban guns across the US. A. preventing B. prevented C. to prevent D. having prevented\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u4e0d\u5b9a\u5f0f\u4f5c\u540e\u7f6e\u5b9a\u8bed\u3002\u53e5\u610f:\u7531\u4e8e\u6821\u56ed\u67aa\u51fb\u6848\u9891\u53d1,\u603b\u7edf\u80fd\u60f3\u5230\u7684\u9632\u6b62\u6b64\u7c7b\u60b2\u5267\u53d1\u751f\u7684\u552f\u4e00\u529e\u6cd5\u5c31\u662f\u5728\u5168\u7f8e\u8303\u56f4\u5185\u7981\u6b62\u67aa\u652f\u3002\u6b64\u5904\u662f\u52a8\u8bcd\u4e0d\u5b9a\u5f0f\u4f5c\u540e\u7f6e\u5b9a\u8bed,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMy computer _ start this morning. There must have been something wrong with it. A. wouldn\u2019t B. shouldn\u2019t C. couldn\u2019t D.\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: +\u5176\u4ed6-\u3002\u7531\u6b64\u53ef\u77e5A\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u6d45\u8c08\u5f3a\u8c03\u53e5 1. \u7528It is/was...that/who...\u53e5\u578b\u8868\u793a\u5f3a\u8c03\u3002 (1)\u9648\u8ff0\u53e5\u7684\u5f3a\u8c03\u53e5\u578b:It is/was+\u88ab\u5f3a\u8c03\u90e8\u5206(\u901a\u5e38\u662f\u4e3b\u8bed\u3001\u5bbe\u8bed\u6216\u72b6\u8bed)+that/who(\u5f53\u5f3a\u8c03\u4e3b\u8bed\u4e14\u4e3b\u8bed\u6307\u4eba)+\u5176\u5b83\u90e8\u5206\u3002 e.g. It was yesterday that he met Li Ping. (2)\u4e00\u822c\u7591\u95ee\u53e5\u7684\u5f3a\u8c03\u53e5\u578b:\u540c\u4e0a,\u53ea\u662f\u628ais/was\u63d0\u5230it\u524d\u9762\u3002 e.g. Was it yesterday that he met Li Ping? (3)\u7279\u6b8a\u7591\u95ee\u53e5\u7684\u5f3a\u8c03\u53e5\u578b:\u88ab\u5f3a\u8c03\u90e8\u5206(\u901a\u5e38\u662f\u7591\u95ee\u4ee3\u8bcd\u6216\u7591\u95ee\u526f\u8bcd)+is/was+it+that/who+\u5176\u5b83\u90e8\u5206?e.g. When and where was it that you were born? 2. not...until...\u53e5\u578b\u7684\u5f3a\u8c03\u53e5: \u53e5\u578b\u4e3a:It is/was not until+\u88ab\u5f3a\u8c03\u90e8\u5206+that+\u5176\u5b83\u90e8\u5206: e.g. \u666e\u901a\u53e5:He didn't go to bed until/till his wife came back. \u5f3a\u8c03\u53e5:It was not until his wife came back that he went to bed. \u6ce8\u610f:\u6b64\u53e5\u578b\u53ea\u7528until,\u4e0d\u7528till\u3002\u4f46\u5982\u679c\u4e0d\u662f\u5f3a\u8c03\u53e5\u578b,till, until\u53ef\u901a\u7528; \u56e0\u4e3a\u53e5\u578b\u4e2dIt is/was not...\u5df2\u7ecf\u662f\u5426\u5b9a\u53e5\u4e86,that\u540e\u9762\u7684\u4ece\u53e5\u8981\u7528\u80af\u5b9a\u53e5,\u5207\u52ff\u518d\u7528\u5426\u5b9a\u53e5\u4e86\u3002 3. \u5f3a\u8c03\u8c13\u8bed\u52a8\u8bcd:\u7528\u52a9\u52a8\u8bcddo, does\u6216did\u52a0\u52a8\u8bcd\u539f\u5f62\u6765\u5f3a\u8c03\u8c13\u8bed\u52a8\u8bcd\u3002\u6ce8\u610f:\u6b64\u79cd\u5f3a\u8c03\u53ea\u7528do/does\u548cdid,\u6ca1\u6709\u522b\u7684\u5f62\u5f0f;\u8fc7\u53bb\u65f6\u6001\u7528did,\u540e\u9762\u7684\u8c13\u8bed\u52a8\u8bcd\u7528\u539f\u5f62\u3002\u5982:Do come early. \u52a1\u5fc5\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffd\u539f\u5f62\u6765\u5f3a\u8c03\u8c13\u8bed\u52a8\u8bcd\u3002\u6ce8\u610f:\u6b64\u79cd\u5f3a\u8c03\u53ea\u7528do/does\u548cdid,\u6ca1\u6709\u522b\u7684\u5f62\u5f0f;\u8fc7\u53bb\u65f6\u6001\u7528did,\u540e\u9762\u7684\u8c13\u8bed\u52a8\u8bcd\u7528\u539f\u5f62\u3002\u5982:Do come early. \u52a1\u5fc5\u65e9\u6765\u3002He did send you a letter last week. \u6628\u5929\u4ed6\u786e\u5b9e\u5bc4\u7ed9\u4f60\u4e00\u5c01\u4fe1\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aSpelling Bee is a contest _ competitors, usually children, are asked to spell as many words as possible. A. which B. when C. what D. where\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5b9a\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u62fc\u5b57\u6bd4\u8d5b\u662f\u8981\u6c42\u53c2\u8d5b\u8005,\u901a\u5e38\u662f\u5b69\u5b50,\u62fc\u51fa\u5c3d\u53ef\u80fd\u591a\u7684\u5355\u8bcd\u7684\u6bd4\u8d5b\u3002\u6b64\u5904a contest\u662f\u5148\u884c\u8bcd,\u5728\u540e\u9762\u7684\u5b9a\u8bed\u4ece\u53e5\u4e2d\u4f5c\u5730\u70b9\u72b6\u8bed,\u6545\u7b54\u6848\u4e3aD\u3002\u3010\u70b9\u775b\u3011\u5206\u6790\u5b9a\u8bed\u4ece\u53e5\u5173\u952e\u6293\u4f4f\u4e24\u70b9:\u7b2c\u4e00\u3001\u627e\u51c6\u5148\u884c\u8bcd;\u7b2c\u4e8c\u3001\u770b\u5148\u884c\u8bcd\u5728\u5b9a\u8bed\u4ece\u53e5\u4e2d\u6240\u4f5c\u7684\u6210\u5206\u3002\u5148\u884c\u8bcd\u5f80\u5f80\u4e3a\u540d\u8bcd\u6216\u4ee3\u8bcd,\u5982\u672c\u9898\u4e2d\u5148\u884c\u8bcd\u4e3a\u540d\u8bcda contest,\u518d\u5206\u6790\u5148\u884c\u8bcda contest\u5728\u5b9a\u8bed\u4ece\u53e5\u4e2d\u6240\u4f5c\u7684\u6210\u5206,\u5c06\u5148\u884c\u8bcda contest\u5e26\u5230\u4ece\u53e5\u4e2d\u53ef\u77e5,\u53ea\u80fd\u4f5c\u5730\u70b9\u72b6\u8bed,\u6545\u786e\u5b9a\u5173\u7cfb\u8bcdwhere\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHe kept silent over the matter because he had no intention to risk _ in it. A. to involve B. involving C. being involved D. to be involved\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u975e\u8c13\u8bed\u52a8\u8bcd\u3002\u53e5\u610f:\u4ed6\u5bf9\u8fd9\u4ef6\u4e8b\u4fdd\u6301\u6c89\u9ed8,\u56e0\u4e3a\u4ed6\u4e0d\u60f3\u5192\u9669\u5377\u5165\u5176\u4e2d\u3002\u56fa\u5b9a\u642d\u914d:risk doing sth.\u201c\u5192\u9669\u505a\u67d0\u4e8b\u201d,\u4e14\u53e5\u5b50\u4e3b\u8bedhe\u548cinvolve\u4e4b\u95f4\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: . cures\u6cbb\u7597;B. residents\u5c45\u6c11;C. budgets\u9884\u7b97;D. species\u79cd\u7c7b\u3002\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMr. Painter wanted to design a new system to _ the water in his garden in heavy rains. A. retreat B. drain C. tremble D. shrink\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:Painter\u5148\u751f\u60f3\u8bbe\u8ba1\u4e00\u79cd\u65b0\u7684\u7cfb\u7edf,\u5728\u4e0b\u5927\u96e8\u65f6\u6765\u7ed9\u4ed6\u7684\u82b1\u56ed\u91cc\u6392\u6c34\u3002A. retreat\u64a4\u9000;B. drain\u6392\u51fa;C. tremble\u53d1\u6296;D. shrink\u9000\u7f29\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe family wrote a letter to the organization to express their _ for help. A. faith B. appeal C. relief D. sight\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u8fd9\u5bb6\u4eba\u5199\u4e86\u4e00\u5c01\u4fe1\u7ed9\u8be5\u7ec4\u7ec7\u8868\u8fbe\u4ed6\u4eec\u9700\u8981\u63f4\u52a9\u7684\u6073\u6c42\u3002A. faith\u4fe1\u4ef0;B. appeal\u6073\u6c42;C. relief\u51cf\u8f7b;D. sight\u89c6\u529b\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWinning this game is _ to the team, for the result will decide whether it can defend its championship. A. contemporary B. crucial C. complicated D. constant\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u8d62\u5f97\u8fd9\u573a\u6bd4\u8d5b\u5bf9\u7403\u961f\u81f3\u5173\u91cd\u8981,\u56e0\u4e3a\u7ed3\u679c\u5c06\u51b3\u5b9a\u5b83\u80fd\u5426\u536b\u5195\u51a0\u519b\u3002A. contemporary\u5f53\u4ee3\u7684;B. crucial\u51b3\u5b9a\u6027\u7684;C. complicated\u590d\u6742\u96be\u61c2\u7684;D. constant\u7ecf\u5e38\u7684\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI can\u2019t stay out overnight without my parents\u2019_. A. obedience B. privacy C. affection D. approval\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\ufffd\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffd\u62df\u8bed\u6c14\u3002\u53e5\u610f:\u6211\u591a\u4e48\u5e0c\u671b\u6211\u6ca1\u6709\u53bb\u4fee\u7406\u90a3\u5757\u8868!\u6211\u53ea\u8ba9\u4e8b\u60c5\u53d8\u5f97\u66f4\u7cdf\u4e86\u3002\u52a8\u8bcdwish\u540e\u63a5\u5bbe\u8bed\u4ece\u53e5\u65f6,\u4ece\u53e5\u8c13\u8bed\u8981\u7528\u865a\u62df\u8bed\u6c14\u82e5\u8868\u793a\u4e0e\u8fc7\u53bb\u76f8\u53cd\u7684\u613f\u671b,\u4ece\u53e5\u8c13\u8bed\u7528\u8fc7\u53bb\u5b8c\u6210\u65f6\u3002\u6839\u636e\u53e5\u610f\u4ee5\u53ca\u201cmade\u201d\u53ef\u77e5,B\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011wish\u540e\u5bbe\u8bed\u4ece\u53e5\u7528\u865a\u62df\u8bed\u6c14 \u52a8\u8bcdwish\u540e\u63a5\u5bbe\u8bed\u4ece\u53e5\u65f6,\u4ece\u53e5\u8c13\u8bed\u8981\u7528\u865a\u62df\u8bed\u6c14\u30021.\u82e5\u8981\u8868\u793a\u4e0e\u73b0\u5728\u4e8b\u5b9e\u76f8\u53cd\u7684\u613f\u671b,\u4ece\u53e5\u8c13\u8bed\u7528\u4e00\u822c\u8fc7\u53bb\u65f6;2.\u82e5\u8868\u793a\u4e0e\u8fc7\u53bb\u76f8\u53cd\u7684\u613f\u671b,\u4ece\u53e5\u8c13\u8bed\u7528\u8fc7\u53bb\u5b8c\u6210\u65f6;3.\u82e5\u8868\u793a\u5c06\u6765\u6ca1\u6709\u628a\u63e1\u6216\u4e0d\u592a\u53ef\u80fd\u5b9e\u73b0\u7684\u613f\u671b,\u7528would (could)+\u52a8\u8bcd\u539f\u5f62\u3002\u672c\u53e5\u7b26\u5408\u7b2c2\u70b9\u7528\u6cd5,\u6545B\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIn recent years, in many Western countries, in the USA and the UK, Halloween has become a special occasion. A. in general B. in brief C. in short D. in particular\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ecb\u8bcd\u77ed\u8bed\u8fa8\u6790\u3002A. in general\u610f\u4e3a\"\u603b\u7684\u8bf4\u6765,\u901a\u5e38\";B. in brief\u610f\u4e3a\"\u7b80\u8a00\u4e4b\";C. in short\u610f\u4e3a\"\u603b\u4e4b,\u7b80\u800c\u8a00\u4e4b\";D. in particular\u610f\u4e3a\"\u5c24\u5176,\u7279\u522b\"\u3002\u53e5\u610f:\u8fd1\u5e74\u6765,\u5728\u8bb8\u591a\u897f\u65b9\u56fd\u5bb6,\u5c24\u5176\u662f\u5728\u7f8e\u56fd\u548c\u82f1\u56fd,\u4e07\u5723\u8282\u524d\u5915\u5df2\u7ecf\u6210\u4e3a\u4e00\u79cd\u7279\u6b8a\u7684\u573a\u5408\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWhen faced with challenges, firmly believe that holding on to your dreams and doubling your efforts will _ lead to success. A. deliberately B. eventually C. automatically D.\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: the world use for power when it has _ oil? A. given out of B. given out C. run out of D. run out\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u77ed\u8bed\u3002\u53e5\u610f:\u5f53\u77f3\u6cb9\u67af\u7aed\u7684\u65f6\u5019,\u5168\u4e16\u754c\u5c06\u4f1a\u7528\u4ec0\u4e48\u4f5c\u4e3a\u80fd\u6e90\u5462\u3002(1)run out of\u610f\u4e3a\u201c\u7528\u5b8c\u4e86\u201d,\u662f\u53ca\u7269\u77ed\u8bed,\u8868\u793a\u4e3b\u52a8\u610f\u4e49,\u4e3b\u8bed\u4e00\u822c\u662f\u4eba\u3002 (2)run out\u610f\u4e3a\u201c\u7528\u5b8c\u201d,\u662f\u4e0d\u53ca\u7269\u77ed\u8bed,\u5176\u4e3b\u8bed\u901a\u5e38\u4e3a\u65f6\u95f4\u3001\u98df\u7269\u3001\u91d1\u94b1\u7b49\u540d\u8bcd\u30023)give out\u7528\u5c3d,\u7cbe\u75b2\u529b\u7aed,\u4e3a\u4e0d\u53ca\u7269\u77ed\u8bed\u3002\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI did not see your sister at the meeting. If she , she would have met my brother A. has come B. did come C. come D. had come\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u865a\u62df\u8bed\u6c14\u3002\u53e5\u610f:\u6211\u6ca1\u6709\u5728\u4f1a\u4e0a\u89c1\u5230\u4f60\u59b9\u59b9\u3002\u5982\u679c\u5979\u6765\u4e86,\u5979\u4f1a\u9047\u89c1\u6211\u54e5\u54e5\u7684\u3002if \u5f15\u5bfc\u7684\u865a\u62df\u6761\u4ef6\u53e5,\u4e0e\u8fc7\u53bb\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe\u3002\u4e3b\u53e5\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0fwould/could/might/should have done,\u6761\u4ef6\u4ece\u53e5\u7684\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0fhad done\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011If \u5f15\u5bfc\u7684\u865a\u62df\u6761\u4ef6\u53e5 \u6761\u4ef6\u4ece\u53e5\u7684\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0f \u4e3b\u53e5\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0f \u4e0e\u8fc7\u53bb\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe had done would/could/might/should have done \u4e0e\u73b0\u5728\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe \u8fc7\u53bb\u65f6(was\u2192were) would/could/might/should do \u4e0e\u5c06\u6765\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe \u8fc7\u53bb\u65f6 (was\u2192were ) ; should do; were to do would/could/might/should do \u672c\u53e5\u8868\u793a\u4e0e\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "the world use for power when it has _ oil? A. given out of B. given out C. run out of D. run out\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u77ed\u8bed\u3002\u53e5\u610f:\u5f53\u77f3\u6cb9\u67af\u7aed\u7684\u65f6\u5019,\u5168\u4e16\u754c\u5c06\u4f1a\u7528\u4ec0\u4e48\u4f5c\u4e3a\u80fd\u6e90\u5462\u3002(1)run out of\u610f\u4e3a\u201c\u7528\u5b8c\u4e86\u201d,\u662f\u53ca\u7269\u77ed\u8bed,\u8868\u793a\u4e3b\u52a8\u610f\u4e49,\u4e3b\u8bed\u4e00\u822c\u662f\u4eba\u3002 (2)run out\u610f\u4e3a\u201c\u7528\u5b8c\u201d,\u662f\u4e0d\u53ca\u7269\u77ed\u8bed,\u5176\u4e3b\u8bed\u901a\u5e38\u4e3a\u65f6\u95f4\u3001\u98df\u7269\u3001\u91d1\u94b1\u7b49\u540d\u8bcd\u30023)give out\u7528\u5c3d,\u7cbe\u75b2\u529b\u7aed,\u4e3a\u4e0d\u53ca\u7269\u77ed\u8bed\u3002\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI did not see your sister at the meeting. If she , she would have met my brother A. has come B. did come C. come D. had come\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u865a\u62df\u8bed\u6c14\u3002\u53e5\u610f:\u6211\u6ca1\u6709\u5728\u4f1a\u4e0a\u89c1\u5230\u4f60\u59b9\u59b9\u3002\u5982\u679c\u5979\u6765\u4e86,\u5979\u4f1a\u9047\u89c1\u6211\u54e5\u54e5\u7684\u3002if \u5f15\u5bfc\u7684\u865a\u62df\u6761\u4ef6\u53e5,\u4e0e\u8fc7\u53bb\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe\u3002\u4e3b\u53e5\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0fwould/could/might/should have done,\u6761\u4ef6\u4ece\u53e5\u7684\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0fhad done\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011If \u5f15\u5bfc\u7684\u865a\u62df\u6761\u4ef6\u53e5 \u6761\u4ef6\u4ece\u53e5\u7684\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0f \u4e3b\u53e5\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0f \u4e0e\u8fc7\u53bb\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe had done would/could/might/should have done \u4e0e\u73b0\u5728\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe \u8fc7\u53bb\u65f6(was\u2192were) would/could/might/should do \u4e0e\u5c06\u6765\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe \u8fc7\u53bb\u65f6 (was\u2192were ) ; should do; were to do would/could/might/should do \u672c\u53e5\u8868\u793a\u4e0e"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u7981\u6b62\u67aa\u652f\u3002\u6b64\u5904\u662f\u52a8\u8bcd\u4e0d\u5b9a\u5f0f\u4f5c\u540e\u7f6e\u5b9a\u8bed,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMy computer _ start this morning. There must have been something wrong with it. A. wouldn\u2019t B. shouldn\u2019t C. couldn\u2019t D. mustn\u2019t\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u60c5\u6001\u52a8\u8bcd\u3002\u53e5\u610f:\u6211\u7684\u7535\u8111\u4eca\u65e9\u542f\u52a8\u4e0d\u4e86\u3002\u4e00\u5b9a\u662f\u51fa\u4e86\u4ec0\u4e48\u95ee\u9898\u3002A. wouldn\u2019t \u4e0d\u4f1a; B. shouldn\u2019t\u4e0d\u5e94\u8be5; C. couldn\u2019t \u4e0d\u80fd; D. mustn\u2019t\u7981\u6b62,\u4e0d\u5141\u8bb8\u3002\u6b64\u5904would\u8868\u793a\u8fc7\u53bb\u7684\u4e60\u60ef\u6216\u53cd\u590d\u6027\u7684\u52a8\u4f5c\u3002\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a- Come on, Henry. You can also enjoy as healthy a life as I _ if you can\u2026 - Are you advising me to run every morning? A. will live B. lived C. am living D. had lived\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u65f6\u6001\u3002\u53e5\u610f:\u2014\u5feb\u70b9,\u4ea8\u5229\u3002\u4f60\u4e5f\u53ef\u4ee5\u50cf\u6211\u4e00\u6837\u4eab\u53d7\u5065\u5eb7\u7684\u751f\u6d3b,\u5982\u679c\u4f60\u53ef\u4ee5\u2026\u2026\u3002\u2014\u4f60\u662f\u5efa\u8bae\u6211\u6bcf\u5929\u65e9\u4e0a\u8dd1\u6b65\u5417?\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u6b64\u5904\u7528\u73b0\u5728\u8fdb\u884c\u65f6\u6001,\u6545\u7b54\u6848\u4e3aC\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIt was at midnight _ we arrived at the airport, resulting from the heavy fog. A. that B. before C. since D. now that\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f3a\u8c03\u53e5\u5f0f\u3002\u53e5\u610f:\u7531\u4e8e\u5927\u96fe,\u6211\u4eec\u662f\u5728\u5348\u591c\u5230\u8fbe\u673a\u573a\u7684\u3002\u6b64\u5904\u65f6\u5f3a\u8c03\u53e5\u5f0f,\u5f3a\u8c03\u65f6\u95f4\u72b6\u8bed,It is +\u5f3a\u8c03\u90e8\u5206+that+\u5176\u4ed6-\u3002\u7531\u6b64\u53ef\u77e5A\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u6d45\u8c08\u5f3a\u8c03\u53e5 1. \u7528It is/was...that/who...\u53e5\u578b\u8868\u793a\u5f3a\u8c03\u3002 (1)\u9648\u8ff0\u53e5\u7684\u5f3a\u8c03\u53e5\u578b:\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "\u7981\u6b62\u67aa\u652f\u3002\u6b64\u5904\u662f\u52a8\u8bcd\u4e0d\u5b9a\u5f0f\u4f5c\u540e\u7f6e\u5b9a\u8bed,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMy computer _ start this morning. There must have been something wrong with it. A. wouldn\u2019t B. shouldn\u2019t C. couldn\u2019t D. mustn\u2019t\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u60c5\u6001\u52a8\u8bcd\u3002\u53e5\u610f:\u6211\u7684\u7535\u8111\u4eca\u65e9\u542f\u52a8\u4e0d\u4e86\u3002\u4e00\u5b9a\u662f\u51fa\u4e86\u4ec0\u4e48\u95ee\u9898\u3002A. wouldn\u2019t \u4e0d\u4f1a; B. shouldn\u2019t\u4e0d\u5e94\u8be5; C. couldn\u2019t \u4e0d\u80fd; D. mustn\u2019t\u7981\u6b62,\u4e0d\u5141\u8bb8\u3002\u6b64\u5904would\u8868\u793a\u8fc7\u53bb\u7684\u4e60\u60ef\u6216\u53cd\u590d\u6027\u7684\u52a8\u4f5c\u3002\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a- Come on, Henry. You can also enjoy as healthy a life as I _ if you can\u2026 - Are you advising me to run every morning? A. will live B. lived C. am living D. had lived\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u65f6\u6001\u3002\u53e5\u610f:\u2014\u5feb\u70b9,\u4ea8\u5229\u3002\u4f60\u4e5f\u53ef\u4ee5\u50cf\u6211\u4e00\u6837\u4eab\u53d7\u5065\u5eb7\u7684\u751f\u6d3b,\u5982\u679c\u4f60\u53ef\u4ee5\u2026\u2026\u3002\u2014\u4f60\u662f\u5efa\u8bae\u6211\u6bcf\u5929\u65e9\u4e0a\u8dd1\u6b65\u5417?\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u6b64\u5904\u7528\u73b0\u5728\u8fdb\u884c\u65f6\u6001,\u6545\u7b54\u6848\u4e3aC\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIt was at midnight _ we arrived at the airport, resulting from the heavy fog. A. that B. before C. since D. now that\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f3a\u8c03\u53e5\u5f0f\u3002\u53e5\u610f:\u7531\u4e8e\u5927\u96fe,\u6211\u4eec\u662f\u5728\u5348\u591c\u5230\u8fbe\u673a\u573a\u7684\u3002\u6b64\u5904\u65f6\u5f3a\u8c03\u53e5\u5f0f,\u5f3a\u8c03\u65f6\u95f4\u72b6\u8bed,It is +\u5f3a\u8c03\u90e8\u5206+that+\u5176\u4ed6-\u3002\u7531\u6b64\u53ef\u77e5A\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u6d45\u8c08\u5f3a\u8c03\u53e5 1. \u7528It is/was...that/who...\u53e5\u578b\u8868\u793a\u5f3a\u8c03\u3002 (1)\u9648\u8ff0\u53e5\u7684\u5f3a\u8c03\u53e5\u578b:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: that B. it C. this D. \u4e0d\u586b\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ee3\u8bcdit\u7684\u7528\u6cd5\u3002\u53e5\u610f:\u6211\u4eec\u53d1\u73b0\u4e0e\u6211\u4eec\u8fd9\u91cc\u7684\u65b0\u8001\u5e08\u76f8\u5904\u5f88\u5bb9\u6613\u3002\u6b64\u5904it\u4f5c\u5f62\u5f0f\u5bbe\u8bed,\u800c\u771f\u6b63\u7684\u5bbe\u8bed\u4e3a\u540e\u9762\u7684\u4e0d\u5b9a\u5f0f\u7ed3\u6784to get along with our new teachers here\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a_ all of them are strong candidates, only one will be chosen for the post. A. Since B. While C. Once D. As\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u72b6\u8bed\u4ece\u53e5\u8fde\u8bcd\u3002\u53e5\u610f:\u5c3d\u7ba1\u4ed6\u4eec\u90fd\u662f\u5f3a\u6709\u529b\u7684\u5019\u9009\u4eba,\u4f46\u53ea\u6709\u4e00\u4e2a\u4eba\u53ef\u4ee5\u88ab\u9009\u4e2d\u62c5\u4efb\u8fd9\u4e2a\u804c\u4f4d\u3002\u8fde\u8bcdwhile\u610f\u4e3a\u201c\u5f53\u2026\u2026\u65f6;\u5c3d\u7ba1;\u7136\u800c;\u201d\u672c\u53e5\u4e2d\u8868\u793a\u201c\u5c3d\u7ba1\u201d,\u5f15\u5bfc\u8ba9\u6b65\u72b6\u8bed\u4ece\u53e5\u3002\u6545B\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u672c\u9898\u8003\u67e5\u4e86while\u7684\u7528\u6cd5,\u5728\u82f1\u8bed\u7684\u4ece\u53e5\u91cc\u8fde\u8bcdwhile\u7684\u7528\u6cd5\u662f\u6bd4\u8f83\u590d\u6742\u7684\u3002 \u4e00\u3001while\u4f5c\u4e3a\u5e76\u5217\u8fde\u8bcd,\u610f\u601d\u4e3a\u201c\u800c,\u7136\u800c\u201d,\u8868\u524d\u540e\u610f\u4e49\u4e0a\u7684\u5bf9\u6bd4\u6216\u8f6c\u6298\u3002 \u4f8b\u5982:There\u2019s plenty of rain in the southeast, while there's little in the northeast. \u4e1c\u5357\u90e8\u96e8\u91cf\u5145\u8db3,\u800c\u897f\u5317\u90e8\u5219\u5f88\u5c11\u4e0b\u96e8\u3002 Some people waste food while others haven't enough. \u6709\u4e9b\u4eba\u6d6a\u8d39\u7cae\u98df,\u7136\u800c\u6709\u4e9b\u4eba\u5374\u5403\u4e0d\u9971\u3002 \u4e8c\u3001\u53e6\u5916while\u8fd8\u6709\u522b\u7684\u7528\u6cd5,while\u5f15\u5bfc\u72b6\u8bed\u4ece\u53e5,\u6709\u4ee5\u4e0b\u4e24\u79cd\u542b\u4e49: 1.\u8868\u793a\u67d0\u4e2a\u52a8\u4f5c\u6b63\u5728\u8fdb\u884c\u7684\u540c\u65f6,\u53e6\u4e00\u52a8\u4f5c\u4e5f\u5728\u8fdb\u884c\u4e4b\u4e2d,\u8fd9\u65f6\u4e3b\u4ece\u53e5\u90fd\u7528\u8fdb\u884c\u65f6\u6001,\u6709\u5bf9\u540c\u7c7b\u7684\u4e24\u4e2a\u52a8\u4f5c\u8fdb\u884c\u5bf9\u6bd4\u7684\u610f\u5473.\u5982: While I was playing the piano, she was dancing.\u6211\u5728\u5f39\ufffd\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "that B. it C. this D. \u4e0d\u586b\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ee3\u8bcdit\u7684\u7528\u6cd5\u3002\u53e5\u610f:\u6211\u4eec\u53d1\u73b0\u4e0e\u6211\u4eec\u8fd9\u91cc\u7684\u65b0\u8001\u5e08\u76f8\u5904\u5f88\u5bb9\u6613\u3002\u6b64\u5904it\u4f5c\u5f62\u5f0f\u5bbe\u8bed,\u800c\u771f\u6b63\u7684\u5bbe\u8bed\u4e3a\u540e\u9762\u7684\u4e0d\u5b9a\u5f0f\u7ed3\u6784to get along with our new teachers here\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a_ all of them are strong candidates, only one will be chosen for the post. A. Since B. While C. Once D. As\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u72b6\u8bed\u4ece\u53e5\u8fde\u8bcd\u3002\u53e5\u610f:\u5c3d\u7ba1\u4ed6\u4eec\u90fd\u662f\u5f3a\u6709\u529b\u7684\u5019\u9009\u4eba,\u4f46\u53ea\u6709\u4e00\u4e2a\u4eba\u53ef\u4ee5\u88ab\u9009\u4e2d\u62c5\u4efb\u8fd9\u4e2a\u804c\u4f4d\u3002\u8fde\u8bcdwhile\u610f\u4e3a\u201c\u5f53\u2026\u2026\u65f6;\u5c3d\u7ba1;\u7136\u800c;\u201d\u672c\u53e5\u4e2d\u8868\u793a\u201c\u5c3d\u7ba1\u201d,\u5f15\u5bfc\u8ba9\u6b65\u72b6\u8bed\u4ece\u53e5\u3002\u6545B\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u672c\u9898\u8003\u67e5\u4e86while\u7684\u7528\u6cd5,\u5728\u82f1\u8bed\u7684\u4ece\u53e5\u91cc\u8fde\u8bcdwhile\u7684\u7528\u6cd5\u662f\u6bd4\u8f83\u590d\u6742\u7684\u3002 \u4e00\u3001while\u4f5c\u4e3a\u5e76\u5217\u8fde\u8bcd,\u610f\u601d\u4e3a\u201c\u800c,\u7136\u800c\u201d,\u8868\u524d\u540e\u610f\u4e49\u4e0a\u7684\u5bf9\u6bd4\u6216\u8f6c\u6298\u3002 \u4f8b\u5982:There\u2019s plenty of rain in the southeast, while there's little in the northeast. \u4e1c\u5357\u90e8\u96e8\u91cf\u5145\u8db3,\u800c\u897f\u5317\u90e8\u5219\u5f88\u5c11\u4e0b\u96e8\u3002 Some people waste food while others haven't enough. \u6709\u4e9b\u4eba\u6d6a\u8d39\u7cae\u98df,\u7136\u800c\u6709\u4e9b\u4eba\u5374\u5403\u4e0d\u9971\u3002 \u4e8c\u3001\u53e6\u5916while\u8fd8\u6709\u522b\u7684\u7528\u6cd5,while\u5f15\u5bfc\u72b6\u8bed\u4ece\u53e5,\u6709\u4ee5\u4e0b\u4e24\u79cd\u542b\u4e49: 1.\u8868\u793a\u67d0\u4e2a\u52a8\u4f5c\u6b63\u5728\u8fdb\u884c\u7684\u540c\u65f6,\u53e6\u4e00\u52a8\u4f5c\u4e5f\u5728\u8fdb\u884c\u4e4b\u4e2d,\u8fd9\u65f6\u4e3b\u4ece\u53e5\u90fd\u7528\u8fdb\u884c\u65f6\u6001,\u6709\u5bf9\u540c\u7c7b\u7684\u4e24\u4e2a\u52a8\u4f5c\u8fdb\u884c\u5bf9\u6bd4\u7684\u610f\u5473.\u5982: While I was playing the piano, she was dancing.\u6211\u5728\u5f39\ufffd"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: of the bench but she couldn't read the inscription from this distance. A. secured on B. tangled in C. applied to D. attached to\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. secured on\u4fdd\u8bc1;B. tangled in\u7ea0\u7f20;C. applied to\u7533\u8bf7;D. attached to\u9644\u5c5e\u4e8e\u3002\u53e5\u610f:\u957f\u51f3\u9876\u4e0a\u6302\u7740\u4e00\u5757\u724c\u533e,\u4f46\u5979\u9694\u7740\u8fd9\u4e48\u8fdc\u770b\u4e0d\u6e05\u4e0a\u9762\u7684\u94ed\u6587\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aInstead the ground was made of a sand-like substance, and as far as she could _ there was nothing but low huts and large square buildings dotted around and one or two smoke stacks in the distance. A. make sense B. make out C. make the best D. make it clear\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. make sense\u8bf4\u5f97\u901a;B. make out\u8fa8\u8ba4\u51fa;C. make the best\u5c3d\u529b\u800c\u4e3a;D. make it clear\u660e\u786e\u8868\u660e\u3002\u53e5\u610f:\u76f8\u53cd,\u5730\u9762\u662f\u7528\u6c99\u5b50\u4e00\u6837\u7684\u4e1c\u897f\u94fa\u6210\u7684,\u5728\u5979\u6240\u80fd\u770b\u5230\u7684\u8303\u56f4\u5185,\u9664\u4e86\u4f4e\u77ee\u7684\u5c0f\u5c4b\u548c\u56db\u56db\u65b9\u65b9\u7684\u5927\u697c\u623f\u5916,\u4ec0\u4e48\u4e5f\u6ca1\u6709,\u8fdc\u5904\u8fd8\u6709\u4e00\u4e24\u4e2a\u70df\u56f1\u3002\u6545B\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u52a8\u8bcd\u56fa\u5b9a\u77ed\u8bed\u8fa8\u6790\u662f\u5355\u9879\u9009\u62e9\u548c\u5b8c\u5f62\u586b\u7a7a\u4e2d\u5e38\u8003\u8003\u70b9,\u9700\u8981\u5927\u5bb6\u6ce8\u610f\u79ef\u7d2f\u3002\u4f8b\u5982make\u7684\u4e00\u4e9b\u8bcd\u7ec4: make sure that\u786e\u4fe1;\u8bc1\u5b9e make up \u5f25\u8865;\u7ec4\u6210;\u5316\u5986;\u6574\u7406 make full use of \u5145\u5206\u5229\u7528 make up for \u8865\u507f,\u5f25\u8865 make a difference \u6709\u5f71\u54cd,\u6709\u5173\u7cfb make good use of \u5145\u5206\u5229\u7528;\u5f88\u597d\u5730\u4f7f\u7528 make out \u7406\u89e3;\u8fa8\u8ba4\u51fa;\u8bf4\u660e;\u586b\u5199;\u8bbe\u6cd5\u5e94\u4ed8\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "of the bench but she couldn't read the inscription from this distance. A. secured on B. tangled in C. applied to D. attached to\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. secured on\u4fdd\u8bc1;B. tangled in\u7ea0\u7f20;C. applied to\u7533\u8bf7;D. attached to\u9644\u5c5e\u4e8e\u3002\u53e5\u610f:\u957f\u51f3\u9876\u4e0a\u6302\u7740\u4e00\u5757\u724c\u533e,\u4f46\u5979\u9694\u7740\u8fd9\u4e48\u8fdc\u770b\u4e0d\u6e05\u4e0a\u9762\u7684\u94ed\u6587\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aInstead the ground was made of a sand-like substance, and as far as she could _ there was nothing but low huts and large square buildings dotted around and one or two smoke stacks in the distance. A. make sense B. make out C. make the best D. make it clear\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. make sense\u8bf4\u5f97\u901a;B. make out\u8fa8\u8ba4\u51fa;C. make the best\u5c3d\u529b\u800c\u4e3a;D. make it clear\u660e\u786e\u8868\u660e\u3002\u53e5\u610f:\u76f8\u53cd,\u5730\u9762\u662f\u7528\u6c99\u5b50\u4e00\u6837\u7684\u4e1c\u897f\u94fa\u6210\u7684,\u5728\u5979\u6240\u80fd\u770b\u5230\u7684\u8303\u56f4\u5185,\u9664\u4e86\u4f4e\u77ee\u7684\u5c0f\u5c4b\u548c\u56db\u56db\u65b9\u65b9\u7684\u5927\u697c\u623f\u5916,\u4ec0\u4e48\u4e5f\u6ca1\u6709,\u8fdc\u5904\u8fd8\u6709\u4e00\u4e24\u4e2a\u70df\u56f1\u3002\u6545B\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u52a8\u8bcd\u56fa\u5b9a\u77ed\u8bed\u8fa8\u6790\u662f\u5355\u9879\u9009\u62e9\u548c\u5b8c\u5f62\u586b\u7a7a\u4e2d\u5e38\u8003\u8003\u70b9,\u9700\u8981\u5927\u5bb6\u6ce8\u610f\u79ef\u7d2f\u3002\u4f8b\u5982make\u7684\u4e00\u4e9b\u8bcd\u7ec4: make sure that\u786e\u4fe1;\u8bc1\u5b9e make up \u5f25\u8865;\u7ec4\u6210;\u5316\u5986;\u6574\u7406 make full use of \u5145\u5206\u5229\u7528 make up for \u8865\u507f,\u5f25\u8865 make a difference \u6709\u5f71\u54cd,\u6709\u5173\u7cfb make good use of \u5145\u5206\u5229\u7528;\u5f88\u597d\u5730\u4f7f\u7528 make out \u7406\u89e3;\u8fa8\u8ba4\u51fa;\u8bf4\u660e;\u586b\u5199;\u8bbe\u6cd5\u5e94\u4ed8"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: D. told\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fc7\u53bb\u5206\u8bcd\u4f5c\u72b6\u8bed\u3002\u53e5\u610f:\u5c3d\u7ba1\u88ab\u544a\u77e5\u6709\u5371\u9669,\u5e03\u6717\u5148\u751f\u4ecd\u7136\u5192\u7740\u751f\u547d\u5371\u9669\u53bb\u6551\u706b\u707e\u4e2d\u7684\u7537\u5b69\u3002\u6b64\u5904\u53e5\u5b50\u4e3b\u8bedMr. Brown\u548ctell\u4e4b\u95f4\u662f\u4e00\u79cd\u88ab\u52a8\u5173\u7cfb,\u4e0e\u8fde\u8bcdThough\u4e00\u8d77\u5f15\u5bfc\u4f5c\u8ba9\u6b65\u72b6\u8bed,\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHe sold this car for only 2000 dollars, so the buyer got a wonderful_. A. cost B. worth C. value D. bargain\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u3002A. cost\u8d39\u7528; B. worth\u4ef7\u503c,\u8d22\u4ea7; C. value\u4ef7\u503c; D. bargain\u4ea4\u6613,\u4fbf\u5b9c\u8d27\u3002\u53e5\u610f:\u4ed6\u4ee5\u4e8c\u5343\u7f8e\u5143\u7684\u4ef7\u683c\u628a\u8fd9\u8f86\u8f66\u5356\u4e86,\u4e70\u4e3b\u4e70\u5f97\u5f88\u4fbf\u5b9c\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u7b54\u6848\u4e3aD\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe observer\u2019s statement about the accident was very ; we know almost everything about it now. A. specific B. especial C. particular D. special\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u65c1\u89c2\u8005\u5173\u4e8e\u4e8b\u6545\u7684\u9648\u8ff0\u975e\u5e38\u5177\u4f53;\u6211\u4eec\u73b0\u5728\u51e0\u4e4e\u5bf9\u5b83\u4e86\u5982\u6307\u638c\u3002A. specific \u5177\u4f53\u7684; B. especial\u5c24\u5176\u7684; C. particular\u7279\u6b8a\u7684; D. special\u975e\u4e00\u822c\u7684\u3002\u7531\u201c everything \u201d\u53ef\u77e5,\u65c1\u89c2\u8005\u5173\u4e8e\u4e8b\u6545\u7684\u9648\u8ff0\u975e\u5e38\u5177\u4f53\u3002\u6545A\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWhat will the world use for power when it has _ oil? A. given out of B. given out C. run out of D. run out\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u77ed\u8bed\u3002\u53e5\u610f:\u5f53\u77f3\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "D. told\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fc7\u53bb\u5206\u8bcd\u4f5c\u72b6\u8bed\u3002\u53e5\u610f:\u5c3d\u7ba1\u88ab\u544a\u77e5\u6709\u5371\u9669,\u5e03\u6717\u5148\u751f\u4ecd\u7136\u5192\u7740\u751f\u547d\u5371\u9669\u53bb\u6551\u706b\u707e\u4e2d\u7684\u7537\u5b69\u3002\u6b64\u5904\u53e5\u5b50\u4e3b\u8bedMr. Brown\u548ctell\u4e4b\u95f4\u662f\u4e00\u79cd\u88ab\u52a8\u5173\u7cfb,\u4e0e\u8fde\u8bcdThough\u4e00\u8d77\u5f15\u5bfc\u4f5c\u8ba9\u6b65\u72b6\u8bed,\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHe sold this car for only 2000 dollars, so the buyer got a wonderful_. A. cost B. worth C. value D. bargain\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u3002A. cost\u8d39\u7528; B. worth\u4ef7\u503c,\u8d22\u4ea7; C. value\u4ef7\u503c; D. bargain\u4ea4\u6613,\u4fbf\u5b9c\u8d27\u3002\u53e5\u610f:\u4ed6\u4ee5\u4e8c\u5343\u7f8e\u5143\u7684\u4ef7\u683c\u628a\u8fd9\u8f86\u8f66\u5356\u4e86,\u4e70\u4e3b\u4e70\u5f97\u5f88\u4fbf\u5b9c\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u7b54\u6848\u4e3aD\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe observer\u2019s statement about the accident was very ; we know almost everything about it now. A. specific B. especial C. particular D. special\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u65c1\u89c2\u8005\u5173\u4e8e\u4e8b\u6545\u7684\u9648\u8ff0\u975e\u5e38\u5177\u4f53;\u6211\u4eec\u73b0\u5728\u51e0\u4e4e\u5bf9\u5b83\u4e86\u5982\u6307\u638c\u3002A. specific \u5177\u4f53\u7684; B. especial\u5c24\u5176\u7684; C. particular\u7279\u6b8a\u7684; D. special\u975e\u4e00\u822c\u7684\u3002\u7531\u201c everything \u201d\u53ef\u77e5,\u65c1\u89c2\u8005\u5173\u4e8e\u4e8b\u6545\u7684\u9648\u8ff0\u975e\u5e38\u5177\u4f53\u3002\u6545A\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWhat will the world use for power when it has _ oil? A. given out of B. given out C. run out of D. run out\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u77ed\u8bed\u3002\u53e5\u610f:\u5f53\u77f3"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u73b0\u5728\u5b8c\u6210\u8fdb\u884c\u65f6\u6001\u3002\u53e5\u610f:\u563f,\u4f60\u6574\u5929\u90fd\u5750\u5728\u7535\u8111\u524d\u3002\u4f60\u73b0\u5728\u771f\u7684\u5e94\u8be5\u4f11\u606f\u4e00\u4e0b\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u53e5\u5b50\u7528\u73b0\u5728\u5b8c\u6210\u8fdb\u884c\u65f6\u6001,\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aOver the last three decades, the number of people participating in physical fitness programs _ sharply. A. was increasing B. has increased C. had increased D. will be increasing\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u65f6\u6001\u3002\u53e5\u610f:\u5728\u8fc7\u53bb\u7684\u4e09\u5341\u5e74\u91cc,\u53c2\u52a0\u5065\u8eab\u8ba1\u5212\u7684\u4eba\u6570\u6025\u5267\u589e\u52a0\u3002Over the last three decades\u201c\u5728\u6700\u8fd1\u768430\u5e74\u91cc\u201d\u548c\u73b0\u5728\u5b8c\u6210\u65f6\u6001\u8fde\u7528,\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWell, if Father\u2019s job means that we have to move away from our house and the sliding banister and my three best friends for life, then I think Father should _ about his job, don\u2019t you? A. have big things in mind B. let the matters drop C. stretch out D. think twice\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. have big things in mind\u80f8\u6000\u5927\u5fd7;B. let the matters drop\u8ba9\u4e8b\u60c5\u8fc7\u53bb\u5427;C. stretch out\u5c55\u5f00;D. think twice\u4e09\u601d\u800c\u540e\u884c\u3002\u53e5\u610f:\u597d\u5427,\u5982\u679c\u7236\u4eb2\u7684\u5de5\u4f5c\u610f\u5473\u7740\u6211\u4eec\u5fc5\u987b\u79bb\u5f00\u6211\u4eec\u7684\u623f\u5b50\u3001\u6ed1\u52a8\u7684\u697c\u68af\u6276\u624b\u548c\u6211\u7684\u4e09\u4e2a\u6700\u597d\u7684\u670b\u53cb,\u90a3\u4e48\u6211\u8ba4\u4e3a\u7236\u4eb2\u5e94\u8be5\u4e09\u601d\u800c\u540e\u884c,\u4e0d\u662f\u5417?\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThere was a plaque _ the top of the bench but she couldn't read the inscription from this distance. A. secured on B. tangled in C. applied to D. attached to\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. secured on\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u73b0\u5728\u5b8c\u6210\u8fdb\u884c\u65f6\u6001\u3002\u53e5\u610f:\u563f,\u4f60\u6574\u5929\u90fd\u5750\u5728\u7535\u8111\u524d\u3002\u4f60\u73b0\u5728\u771f\u7684\u5e94\u8be5\u4f11\u606f\u4e00\u4e0b\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u53e5\u5b50\u7528\u73b0\u5728\u5b8c\u6210\u8fdb\u884c\u65f6\u6001,\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aOver the last three decades, the number of people participating in physical fitness programs _ sharply. A. was increasing B. has increased C. had increased D. will be increasing\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u65f6\u6001\u3002\u53e5\u610f:\u5728\u8fc7\u53bb\u7684\u4e09\u5341\u5e74\u91cc,\u53c2\u52a0\u5065\u8eab\u8ba1\u5212\u7684\u4eba\u6570\u6025\u5267\u589e\u52a0\u3002Over the last three decades\u201c\u5728\u6700\u8fd1\u768430\u5e74\u91cc\u201d\u548c\u73b0\u5728\u5b8c\u6210\u65f6\u6001\u8fde\u7528,\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWell, if Father\u2019s job means that we have to move away from our house and the sliding banister and my three best friends for life, then I think Father should _ about his job, don\u2019t you? A. have big things in mind B. let the matters drop C. stretch out D. think twice\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. have big things in mind\u80f8\u6000\u5927\u5fd7;B. let the matters drop\u8ba9\u4e8b\u60c5\u8fc7\u53bb\u5427;C. stretch out\u5c55\u5f00;D. think twice\u4e09\u601d\u800c\u540e\u884c\u3002\u53e5\u610f:\u597d\u5427,\u5982\u679c\u7236\u4eb2\u7684\u5de5\u4f5c\u610f\u5473\u7740\u6211\u4eec\u5fc5\u987b\u79bb\u5f00\u6211\u4eec\u7684\u623f\u5b50\u3001\u6ed1\u52a8\u7684\u697c\u68af\u6276\u624b\u548c\u6211\u7684\u4e09\u4e2a\u6700\u597d\u7684\u670b\u53cb,\u90a3\u4e48\u6211\u8ba4\u4e3a\u7236\u4eb2\u5e94\u8be5\u4e09\u601d\u800c\u540e\u884c,\u4e0d\u662f\u5417?\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThere was a plaque _ the top of the bench but she couldn't read the inscription from this distance. A. secured on B. tangled in C. applied to D. attached to\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. secured on"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: make a forest\u72ec\u6728\u4e0d\u6210\u6797;B. Where there\u2019s life, there\u2019s hope\u6709\u751f\u547d\u5c31\u6709\u5e0c\u671b;C. One false step will make a great difference\u5931\u4e4b\u6beb\u5398,\u8c2c\u4e4b\u5343\u91cc;D. Never put off till tomorrow what you can do today\u4eca\u65e5\u4e8b,\u4eca\u65e5\u6bd5\u3002\u7531\u8bed\u5883I told you to be careful before.\u53ef\u77e5,\u7b54\u6848\u4e3aC\u3002\u6545C\u9009\u9879\u6b63\u786e\u3002.\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMuch to my _, my vocabulary has expanded a great deal. A. delighting B. delighted C. delight\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u56fa\u5b9a\u7528\u6cd5\u3002\u53e5\u610f:\u4ee4\u6211\u9ad8\u5174\u7684\u662f,\u6211\u7684\u8bcd\u6c47\u91cf\u5927\u5927\u589e\u52a0\u4e86\u3002\u201cmuch to +\u540d\u8bcd\u201d\u4e3a\u56fa\u5b9a\u7528\u6cd5,\u610f\u4e3a\u201c\u4f7f\u67d0\u4eba\u2026\u2026\u201d,\u56e0\u6b64\u672c\u5c0f\u9898\u8981\u7528\u540d\u8bcd\u5f62\u5f0f\u3002\u5206\u6790\u9009\u9879:delighting \u611f\u5230\u9ad8\u5174\u7684,\u4e00\u822c\u4fee\u9970\u7269;delighted\u9ad8\u5174\u7684; \u6b23\u559c\u7684,\u4e00\u822c\u4fee\u9970\u4eba;delight\u5feb\u4e50,\u9ad8\u5174\u3002\u7531\u9009\u9879\u53ef\u77e5,A\u4e0eB\u90fd\u662f\u5f62\u5bb9\u8bcd,\u53ea\u6709C\u662f\u540d\u8bcd,\u7b26\u5408\u9898\u610f,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe book _ through the air to Aunt Dede and she began to read it aloud. A. got B. pushed C. sailed\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8fa8\u6790\u3002got\u5f97\u5230;pushed\u63a8;sailed\u63a0,\u98d8,\u6d6e\u6e38\u3002\u5206\u6790\u8bed\u5883\u53ef\u77e5,\u672c\u53e5\u662f\u6307\u201c\u90a3\u672c\u4e66\u5728\u7a7a\u4e2d\u4f20\u5230(\u98d8\u5411)\u9edb\u5fb7\u59d1\u5988\u90a3,\u5979(\u62ff\u8fc7\u4e66)\u5f00\u59cb\u5927\u58f0\u6717\u8bfb\u201d\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHe has been sent to the place _ needs him most. A. where B. that C. what D. it\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5b9a\u8bed\u4ece\u53e5\u3002\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "make a forest\u72ec\u6728\u4e0d\u6210\u6797;B. Where there\u2019s life, there\u2019s hope\u6709\u751f\u547d\u5c31\u6709\u5e0c\u671b;C. One false step will make a great difference\u5931\u4e4b\u6beb\u5398,\u8c2c\u4e4b\u5343\u91cc;D. Never put off till tomorrow what you can do today\u4eca\u65e5\u4e8b,\u4eca\u65e5\u6bd5\u3002\u7531\u8bed\u5883I told you to be careful before.\u53ef\u77e5,\u7b54\u6848\u4e3aC\u3002\u6545C\u9009\u9879\u6b63\u786e\u3002.\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMuch to my _, my vocabulary has expanded a great deal. A. delighting B. delighted C. delight\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u56fa\u5b9a\u7528\u6cd5\u3002\u53e5\u610f:\u4ee4\u6211\u9ad8\u5174\u7684\u662f,\u6211\u7684\u8bcd\u6c47\u91cf\u5927\u5927\u589e\u52a0\u4e86\u3002\u201cmuch to +\u540d\u8bcd\u201d\u4e3a\u56fa\u5b9a\u7528\u6cd5,\u610f\u4e3a\u201c\u4f7f\u67d0\u4eba\u2026\u2026\u201d,\u56e0\u6b64\u672c\u5c0f\u9898\u8981\u7528\u540d\u8bcd\u5f62\u5f0f\u3002\u5206\u6790\u9009\u9879:delighting \u611f\u5230\u9ad8\u5174\u7684,\u4e00\u822c\u4fee\u9970\u7269;delighted\u9ad8\u5174\u7684; \u6b23\u559c\u7684,\u4e00\u822c\u4fee\u9970\u4eba;delight\u5feb\u4e50,\u9ad8\u5174\u3002\u7531\u9009\u9879\u53ef\u77e5,A\u4e0eB\u90fd\u662f\u5f62\u5bb9\u8bcd,\u53ea\u6709C\u662f\u540d\u8bcd,\u7b26\u5408\u9898\u610f,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe book _ through the air to Aunt Dede and she began to read it aloud. A. got B. pushed C. sailed\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8fa8\u6790\u3002got\u5f97\u5230;pushed\u63a8;sailed\u63a0,\u98d8,\u6d6e\u6e38\u3002\u5206\u6790\u8bed\u5883\u53ef\u77e5,\u672c\u53e5\u662f\u6307\u201c\u90a3\u672c\u4e66\u5728\u7a7a\u4e2d\u4f20\u5230(\u98d8\u5411)\u9edb\u5fb7\u59d1\u5988\u90a3,\u5979(\u62ff\u8fc7\u4e66)\u5f00\u59cb\u5927\u58f0\u6717\u8bfb\u201d\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHe has been sent to the place _ needs him most. A. where B. that C. what D. it\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5b9a\u8bed\u4ece\u53e5\u3002"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u201d,\u662f\u4e00\u4e2a\u4ecb\u8bcd\u77ed\u8bed,\u5728\u53e5\u4e2d\u7ecf\u5e38\u8d77\u8fde\u8bcd\u4f5c\u7528,\u5f15\u5bfc\u65f6\u95f4\u72b6\u8bed\u4ece\u53e5\u3002\u5b83\u7684\u4e3b\u8981\u7528\u6cd5\u5982\u4e0b: 1. \u5982\u679c\u4ece\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u662f\u4e00\u822c\u8fc7\u53bb\u65f6,\u90a3\u4e48\u4e3b\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u901a\u5e38\u7528\u8fc7\u53bb\u5b8c\u6210\u65f6,\u8868\u793a\u201c\u622a\u6b62\u5230\u4ece\u53e5\u52a8\u4f5c\u53d1\u751f\u65f6,\u4e3b\u53e5\u52a8\u4f5c\u5df2\u7ecf\u5b8c\u6210,\u5373\u8fc7\u53bb\u7684\u8fc7\u53bb\u201d\u3002 2. \u5982\u679c\u4ece\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u4e3a\u4e00\u822c\u73b0\u5728\u65f6(\u8868\u793a\u5c06\u6765),\u90a3\u4e48\u4e3b\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u5e38\u4e3a\u5c06\u6765\u5b8c\u6210\u65f6,\u8868\u793a\u201c\u622a\u6b62\u5230\u5c06\u6765\u67d0\u4e00\u65f6\u95f4\u4e3a\u6b62,\u4e3b\u53e5\u52a8\u4f5c\u5c06\u5df2\u7ecf\u5b8c\u6210\u201d\u3002 3. \u5982\u679c\u4e3b\u53e5\u52a8\u4f5c\u4e0d\u5f3a\u8c03\u5df2\u7ecf\u5b8c\u6210,\u53ea\u662f\u8bf4\u660e\u8fc7\u53bb\u67d0\u4e2a\u65f6\u5019\u7684\u72b6\u51b5,\u6b64\u65f6\u4e3b\u53e5\u4e0d\u7528\u5b8c\u6210\u65f6,\u800c\u5e94\u6839\u636e\u5b9e\u9645\u9700\u8981\u9009\u7528\u9002\u5f53\u7684\u65f6\u6001,\u6b64\u65f6by the time\u76f8\u5f53\u4e8ewhen\u3002 \u672c\u53e5\u7b26\u5408\u7b2c\u4e00\u70b9\u7528\u6cd5,\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIt was the middle of the night _ my father woke me up and told me to watch the football game. A. that B. when C. since D. which\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fde\u8bcd\u3002\u53e5\u610f:\u90a3\u662f\u534a\u591c,\u7236\u4eb2\u628a\u6211\u53eb\u9192,\u53eb\u6211\u770b\u8db3\u7403\u8d5b\u3002\u672c\u53e5\u662fwhen\u5f15\u5bfc\u7684\u65f6\u95f4\u72b6\u8bed\u4ece\u53e5,\u6545B\u9009\u9879\u6b63\u786e\u3002\u672c\u53e5\u4e0d\u662f\u5f3a\u8c03\u53e5,\u5982\u679c\u628aIt was\u53bb\u6389,\u53e5\u5b50\u5e76\u4e0d\u6210\u7acb,the middle of the night\u524d\u7f3a\u5c11\u4ecb\u8bcd\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a-Madam, if you like I can give you a lift to the downtown area. - That\u2019s a very kind _. A. service B. offer C. promise D. choice\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u540d\u8bcd\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "\u201d,\u662f\u4e00\u4e2a\u4ecb\u8bcd\u77ed\u8bed,\u5728\u53e5\u4e2d\u7ecf\u5e38\u8d77\u8fde\u8bcd\u4f5c\u7528,\u5f15\u5bfc\u65f6\u95f4\u72b6\u8bed\u4ece\u53e5\u3002\u5b83\u7684\u4e3b\u8981\u7528\u6cd5\u5982\u4e0b: 1. \u5982\u679c\u4ece\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u662f\u4e00\u822c\u8fc7\u53bb\u65f6,\u90a3\u4e48\u4e3b\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u901a\u5e38\u7528\u8fc7\u53bb\u5b8c\u6210\u65f6,\u8868\u793a\u201c\u622a\u6b62\u5230\u4ece\u53e5\u52a8\u4f5c\u53d1\u751f\u65f6,\u4e3b\u53e5\u52a8\u4f5c\u5df2\u7ecf\u5b8c\u6210,\u5373\u8fc7\u53bb\u7684\u8fc7\u53bb\u201d\u3002 2. \u5982\u679c\u4ece\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u4e3a\u4e00\u822c\u73b0\u5728\u65f6(\u8868\u793a\u5c06\u6765),\u90a3\u4e48\u4e3b\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u5e38\u4e3a\u5c06\u6765\u5b8c\u6210\u65f6,\u8868\u793a\u201c\u622a\u6b62\u5230\u5c06\u6765\u67d0\u4e00\u65f6\u95f4\u4e3a\u6b62,\u4e3b\u53e5\u52a8\u4f5c\u5c06\u5df2\u7ecf\u5b8c\u6210\u201d\u3002 3. \u5982\u679c\u4e3b\u53e5\u52a8\u4f5c\u4e0d\u5f3a\u8c03\u5df2\u7ecf\u5b8c\u6210,\u53ea\u662f\u8bf4\u660e\u8fc7\u53bb\u67d0\u4e2a\u65f6\u5019\u7684\u72b6\u51b5,\u6b64\u65f6\u4e3b\u53e5\u4e0d\u7528\u5b8c\u6210\u65f6,\u800c\u5e94\u6839\u636e\u5b9e\u9645\u9700\u8981\u9009\u7528\u9002\u5f53\u7684\u65f6\u6001,\u6b64\u65f6by the time\u76f8\u5f53\u4e8ewhen\u3002 \u672c\u53e5\u7b26\u5408\u7b2c\u4e00\u70b9\u7528\u6cd5,\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIt was the middle of the night _ my father woke me up and told me to watch the football game. A. that B. when C. since D. which\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fde\u8bcd\u3002\u53e5\u610f:\u90a3\u662f\u534a\u591c,\u7236\u4eb2\u628a\u6211\u53eb\u9192,\u53eb\u6211\u770b\u8db3\u7403\u8d5b\u3002\u672c\u53e5\u662fwhen\u5f15\u5bfc\u7684\u65f6\u95f4\u72b6\u8bed\u4ece\u53e5,\u6545B\u9009\u9879\u6b63\u786e\u3002\u672c\u53e5\u4e0d\u662f\u5f3a\u8c03\u53e5,\u5982\u679c\u628aIt was\u53bb\u6389,\u53e5\u5b50\u5e76\u4e0d\u6210\u7acb,the middle of the night\u524d\u7f3a\u5c11\u4ecb\u8bcd\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a-Madam, if you like I can give you a lift to the downtown area. - That\u2019s a very kind _. A. service B. offer C. promise D. choice\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u540d\u8bcd"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffd\u5206\u5229\u7528 make up for \u8865\u507f,\u5f25\u8865 make a difference \u6709\u5f71\u54cd,\u6709\u5173\u7cfb make good use of \u5145\u5206\u5229\u7528;\u5f88\u597d\u5730\u4f7f\u7528 make out \u7406\u89e3;\u8fa8\u8ba4\u51fa;\u8bf4\u660e;\u586b\u5199;\u8bbe\u6cd5\u5e94\u4ed8 make for \u5bfc\u81f4;\u6709\u52a9\u4e8e;\u8d70\u5411 make it possible \u4f7f\u5b83\u53d8\u6210\u53ef\u80fd make a living \u8c0b\u751f,\u7ef4\u6301\u751f\u6d3b make decision \u4f5c\u51b3\u5b9a;\u4e0b\u51b3\u5fc3\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aShe just got on with her job, _ the furniture, washing the clothes, helping with the shopping and the cooking, sometimes taking him to school and collecting him again, although that had been more common when Bruno was eight; when he turned nine he decided he was old enough to make his way- there and home alone. A. polishing B. discarding C. resisting D. irritating\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8fa8\u6790\u3002A. polishing\u629b\u5149;B. discarding\u4e22\u5f03;C. resisting\u62b5\u5236;D. irritating\u523a\u6fc0\u3002\u53e5\u610f:\u5979\u53ea\u662f\u7ee7\u7eed\u5979\u7684\u5de5\u4f5c,\u64e6\u4eae\u5bb6\u5177\u3001\u6d17\u8863\u670d\u3001\u5e2e\u5fd9\u4e70\u4e1c\u897f\u548c\u505a\u996d,\u6709\u65f6\u5e26\u4ed6\u53bb\u5b66\u6821\u3001\u518d\u63a5\u4ed6,\u5c3d\u7ba1\u5728\u5e03\u9c81\u8bfa8\u5c81\u7684\u65f6\u5019\u8fd9\u79cd\u60c5\u51b5\u66f4\u5e38\u89c1;\u5f53\u4ed6\u4e5d\u5c81\u7684\u65f6\u5019,\u4ed6\u89c9\u5f97\u81ea\u5df1\u5df2\u7ecf\u8db3\u591f\u5927\u4e86,\u53ef\u4ee5\u81ea\u5df1\u8d70\u81ea\u5df1\u7684\u8def\u4e86\u2014\u2014\u53bb\u90a3\u91cc,\u7136\u540e\u72ec\u81ea\u56de\u5bb6\u3002\u6545A\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThough _ of the danger, Mr. Brown still risked his life to save the boy in the fire. A. having told B. being told C. to be told D. told\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fc7\u53bb\u5206\u8bcd\u4f5c\u72b6\u8bed\u3002\u53e5\u610f:\u5c3d\u7ba1\u88ab\u544a\u77e5\u6709\u5371\u9669,\u5e03\u6717\u5148\u751f\u4ecd\u7136\u5192\u7740\u751f\u547d\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "\ufffd\u5206\u5229\u7528 make up for \u8865\u507f,\u5f25\u8865 make a difference \u6709\u5f71\u54cd,\u6709\u5173\u7cfb make good use of \u5145\u5206\u5229\u7528;\u5f88\u597d\u5730\u4f7f\u7528 make out \u7406\u89e3;\u8fa8\u8ba4\u51fa;\u8bf4\u660e;\u586b\u5199;\u8bbe\u6cd5\u5e94\u4ed8 make for \u5bfc\u81f4;\u6709\u52a9\u4e8e;\u8d70\u5411 make it possible \u4f7f\u5b83\u53d8\u6210\u53ef\u80fd make a living \u8c0b\u751f,\u7ef4\u6301\u751f\u6d3b make decision \u4f5c\u51b3\u5b9a;\u4e0b\u51b3\u5fc3\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aShe just got on with her job, _ the furniture, washing the clothes, helping with the shopping and the cooking, sometimes taking him to school and collecting him again, although that had been more common when Bruno was eight; when he turned nine he decided he was old enough to make his way- there and home alone. A. polishing B. discarding C. resisting D. irritating\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8fa8\u6790\u3002A. polishing\u629b\u5149;B. discarding\u4e22\u5f03;C. resisting\u62b5\u5236;D. irritating\u523a\u6fc0\u3002\u53e5\u610f:\u5979\u53ea\u662f\u7ee7\u7eed\u5979\u7684\u5de5\u4f5c,\u64e6\u4eae\u5bb6\u5177\u3001\u6d17\u8863\u670d\u3001\u5e2e\u5fd9\u4e70\u4e1c\u897f\u548c\u505a\u996d,\u6709\u65f6\u5e26\u4ed6\u53bb\u5b66\u6821\u3001\u518d\u63a5\u4ed6,\u5c3d\u7ba1\u5728\u5e03\u9c81\u8bfa8\u5c81\u7684\u65f6\u5019\u8fd9\u79cd\u60c5\u51b5\u66f4\u5e38\u89c1;\u5f53\u4ed6\u4e5d\u5c81\u7684\u65f6\u5019,\u4ed6\u89c9\u5f97\u81ea\u5df1\u5df2\u7ecf\u8db3\u591f\u5927\u4e86,\u53ef\u4ee5\u81ea\u5df1\u8d70\u81ea\u5df1\u7684\u8def\u4e86\u2014\u2014\u53bb\u90a3\u91cc,\u7136\u540e\u72ec\u81ea\u56de\u5bb6\u3002\u6545A\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThough _ of the danger, Mr. Brown still risked his life to save the boy in the fire. A. having told B. being told C. to be told D. told\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fc7\u53bb\u5206\u8bcd\u4f5c\u72b6\u8bed\u3002\u53e5\u610f:\u5c3d\u7ba1\u88ab\u544a\u77e5\u6709\u5371\u9669,\u5e03\u6717\u5148\u751f\u4ecd\u7136\u5192\u7740\u751f\u547d"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffdB\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u672c\u9898\u8003\u67e5\u4e86\u540c\u4f4d\u8bed\u4ece\u53e5,\u540c\u4f4d\u8bed\u662f\u5bf9\u524d\u9762\u7684\u540d\u8bcd\u7684\u89e3\u91ca\u8bf4\u660e,\u5f53\u540c\u4f4d\u8bed\u90e8\u5206\u662f\u4e2a\u53e5\u5b50\u7684\u65f6\u5019,\u5c31\u662f\u540c\u4f4d\u8bed\u4ece\u53e5,\u8fd9\u79cd\u7528\u6cd5\u6bd4\u8f83\"\u56fa\u5b9a\" \u4e00\u3001\u5728\u590d\u5408\u53e5\u4e2d\u7528\u4f5c\u540c\u4f4d\u8bed\u7684\u4ece\u53e5\u53eb\u540c\u4f4d\u8bed\u4ece\u53e5\u3002\u5b83\u4e00\u822c\u8ddf\u5728\u67d0\u4e9b\u540d\u8bcd\u540e\u9762,\u7528\u4ee5\u8bf4\u660e\u8be5\u540d\u8bcd\u8868\u793a\u7684\u5177\u4f53\u5185\u5bb9\u3002 I heard the news that our team had won. \u6211\u542c\u5230\u4e86\u6211\u4eec\u961f\u83b7\u80dc\u7684\u6d88\u606f\u3002 \u4e8c\u3001\u53ef\u4ee5\u8ddf\u540c\u4f4d\u8bed\u4ece\u53e5\u7684\u540d\u8bcd\u901a\u5e38\u6709news,idea,fact,promise,question,doubt,thought,hope,message,suggestion,words(\u6d88\u606f),possibility, decision\u7b49(\u4e00\u822c\u7684\u201c\u62bd\u8c61\u201d\u540d\u8bcd\u90fd\u53ef\u7528)\u3002 I\u2019ve come from Mr. wang with a message that he won\u2019t be able to see you this afternoon. \u6211\u4ece\u738b\u5148\u751f\u90a3\u91cc\u6765,\u4ed6\u8ba9\u6211\u544a\u8bc9\u4f60\u4ed6\u4eca\u5929\u4e0b\u5348\u4e0d\u80fd\u6765\u770b\u4f60\u4e86\u3002 \u4e09\u3001\u82f1\u8bed\u4e2d\u5f15\u5bfc\u540c\u4f4d\u8bed\u4ece\u53e5\u7684\u8bcd\u901a\u5e38\u6709\u8fde\u8bcdthat,whether,\u8fde\u63a5\u4ee3\u8bcdwhat,who\u3002\u8fde\u63a5\u526f\u8bcdhow, when, where\u7b49\u3002(\u6ce8:if\u4e0d\u80fd\u5f15\u5bfc\u540c\u4f4d\u8bed\u4ece\u53e5\u3002) He must answer the question whether he agrees with it or not. \u4ed6\u5fc5\u987b\u56de\u7b54\u4ed6\u662f\u5426\u540c\u610f\u8fd9\u6837\u4e00\u4e2a\u95ee\u9898\u3002 \u56db\u3001\u6709\u65f6\u540c\u4f4d\u8bed\u4ece\u53e5\u53ef\u4ee5\u4e0d\u7d27\u8ddf\u5728\u8bf4\u660e\u7684\u540d\u8bcd\u540e\u9762,\u800c\u88ab\u522b\u7684\u8bcd\u9694\u5f00\u3002 The thought came to him that maybe the enemy had fled the city. \u4ed6\u7a81\u7136\u60f3\u8d77\u654c\u4eba\u53ef\u80fd\u5df2\u7ecf\u9003\u51fa\u57ce\u4e86\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe drought had lasted several months and it made farmers _ about the harvest. A. astonished B. anxious C. eager D. busy\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u5e72\u65f1\u5df2\u7ecf\u6301\u7eed\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "\ufffdB\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u672c\u9898\u8003\u67e5\u4e86\u540c\u4f4d\u8bed\u4ece\u53e5,\u540c\u4f4d\u8bed\u662f\u5bf9\u524d\u9762\u7684\u540d\u8bcd\u7684\u89e3\u91ca\u8bf4\u660e,\u5f53\u540c\u4f4d\u8bed\u90e8\u5206\u662f\u4e2a\u53e5\u5b50\u7684\u65f6\u5019,\u5c31\u662f\u540c\u4f4d\u8bed\u4ece\u53e5,\u8fd9\u79cd\u7528\u6cd5\u6bd4\u8f83\"\u56fa\u5b9a\" \u4e00\u3001\u5728\u590d\u5408\u53e5\u4e2d\u7528\u4f5c\u540c\u4f4d\u8bed\u7684\u4ece\u53e5\u53eb\u540c\u4f4d\u8bed\u4ece\u53e5\u3002\u5b83\u4e00\u822c\u8ddf\u5728\u67d0\u4e9b\u540d\u8bcd\u540e\u9762,\u7528\u4ee5\u8bf4\u660e\u8be5\u540d\u8bcd\u8868\u793a\u7684\u5177\u4f53\u5185\u5bb9\u3002 I heard the news that our team had won. \u6211\u542c\u5230\u4e86\u6211\u4eec\u961f\u83b7\u80dc\u7684\u6d88\u606f\u3002 \u4e8c\u3001\u53ef\u4ee5\u8ddf\u540c\u4f4d\u8bed\u4ece\u53e5\u7684\u540d\u8bcd\u901a\u5e38\u6709news,idea,fact,promise,question,doubt,thought,hope,message,suggestion,words(\u6d88\u606f),possibility, decision\u7b49(\u4e00\u822c\u7684\u201c\u62bd\u8c61\u201d\u540d\u8bcd\u90fd\u53ef\u7528)\u3002 I\u2019ve come from Mr. wang with a message that he won\u2019t be able to see you this afternoon. \u6211\u4ece\u738b\u5148\u751f\u90a3\u91cc\u6765,\u4ed6\u8ba9\u6211\u544a\u8bc9\u4f60\u4ed6\u4eca\u5929\u4e0b\u5348\u4e0d\u80fd\u6765\u770b\u4f60\u4e86\u3002 \u4e09\u3001\u82f1\u8bed\u4e2d\u5f15\u5bfc\u540c\u4f4d\u8bed\u4ece\u53e5\u7684\u8bcd\u901a\u5e38\u6709\u8fde\u8bcdthat,whether,\u8fde\u63a5\u4ee3\u8bcdwhat,who\u3002\u8fde\u63a5\u526f\u8bcdhow, when, where\u7b49\u3002(\u6ce8:if\u4e0d\u80fd\u5f15\u5bfc\u540c\u4f4d\u8bed\u4ece\u53e5\u3002) He must answer the question whether he agrees with it or not. \u4ed6\u5fc5\u987b\u56de\u7b54\u4ed6\u662f\u5426\u540c\u610f\u8fd9\u6837\u4e00\u4e2a\u95ee\u9898\u3002 \u56db\u3001\u6709\u65f6\u540c\u4f4d\u8bed\u4ece\u53e5\u53ef\u4ee5\u4e0d\u7d27\u8ddf\u5728\u8bf4\u660e\u7684\u540d\u8bcd\u540e\u9762,\u800c\u88ab\u522b\u7684\u8bcd\u9694\u5f00\u3002 The thought came to him that maybe the enemy had fled the city. \u4ed6\u7a81\u7136\u60f3\u8d77\u654c\u4eba\u53ef\u80fd\u5df2\u7ecf\u9003\u51fa\u57ce\u4e86\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe drought had lasted several months and it made farmers _ about the harvest. A. astonished B. anxious C. eager D. busy\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u5e72\u65f1\u5df2\u7ecf\u6301\u7eed"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u65f6\u3002 This is the best hotel in the city that I know. \u8fd9\u662f\u6211\u6240\u77e5\u9053\u7684\u57ce\u5e02\u91cc\u6700\u597d\u7684\u65c5\u9986\u3002(best \u4e3a\u6700\u9ad8\u7ea7) 4.\u5e8f\u6570\u8bcd\u4fee\u9970\u5148\u884c\u8bcd\u65f6\u3002 The first time that they meet together was yesterday. \u4ed6\u4eec\u7b2c\u4e00\u6b21\u9047\u89c1\u662f\u5728\u6628\u5929\u3002(first \u7684\u51fa\u73b0) 5\u5f53the only,the very\u51fa\u73b0\u65f6\u3002 Before he falls in love Amanda, the only thing that he cared is himself. \u5728\u4ed6\u7231\u4e0aAmanda\u4e4b\u524d,\u4ed6\u552f\u4e00\u5728\u610f\u7684\u662f\u4ed6\u81ea\u5df1\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWe were _ on our way to the airport because of the heavy snow. A. held up B. held out C. held back D. held with\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u77ed\u8bed\u8fa8\u6790\u3002A. held up\u4e3e\u8d77,\u652f\u6491;\u963b\u6321;\u5ef6\u8bef;B. held out\u4f38\u51fa,\u575a\u6301;C. held back\u963b\u788d,\u9690\u85cf,\u514b\u5236;D. held with\u8d5e\u6210;\u53e5\u610f:\u56e0\u4e3a\u5927\u96ea,\u6211\u4eec\u88ab\u5ef6\u8bef\u5728\u53bb\u673a\u573a\u7684\u8def\u4e0a\u3002\u6839\u636e\u53e5\u610f\u53ef\u77e5A\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThere is little doubt _ the Internet is a great inventionin human history. A. whether B. that C. which D. what\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540c\u4f4d\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u6beb\u65e0\u7591\u95ee,\u5728\u4eba\u7c7b\u5386\u53f2\u4e0a\u56e0\u7279\u7f51\u662f\u4e00\u9879\u4f1f\u5927\u7684\u53d1\u660e\u3002\u53e5\u4e2d\u540c\u4f4d\u8bed\u4ece\u53e5that the Internet is a great invention in human history\u5bf9\u540d\u8bcd\u77ed\u8bedlittle doubt\u8fdb\u884c\u89e3\u91ca\u8bf4\u660e,that\u5728\u53e5\u4e2d\u4e0d\u5145\u5f53\u4efb\u4f55\u6210\u5206,\u53ea\u662f\u4e00\u4e2a\u5f15\u5bfc\u8bcd\u3002\u6545B\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u672c\u9898\u8003\u67e5\u4e86\u540c\u4f4d\u8bed\u4ece\u53e5,\u540c\u4f4d\u8bed\u662f\u5bf9\u524d\u9762\u7684\u540d\u8bcd\u7684\u89e3\u91ca\u8bf4\u660e,\u5f53\u540c\u4f4d\u8bed\u90e8\u5206\u662f\u4e2a\u53e5\u5b50\u7684\u65f6\u5019,\u5c31\u662f\u540c\u4f4d\u8bed\u4ece\u53e5,\u8fd9\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "\u65f6\u3002 This is the best hotel in the city that I know. \u8fd9\u662f\u6211\u6240\u77e5\u9053\u7684\u57ce\u5e02\u91cc\u6700\u597d\u7684\u65c5\u9986\u3002(best \u4e3a\u6700\u9ad8\u7ea7) 4.\u5e8f\u6570\u8bcd\u4fee\u9970\u5148\u884c\u8bcd\u65f6\u3002 The first time that they meet together was yesterday. \u4ed6\u4eec\u7b2c\u4e00\u6b21\u9047\u89c1\u662f\u5728\u6628\u5929\u3002(first \u7684\u51fa\u73b0) 5\u5f53the only,the very\u51fa\u73b0\u65f6\u3002 Before he falls in love Amanda, the only thing that he cared is himself. \u5728\u4ed6\u7231\u4e0aAmanda\u4e4b\u524d,\u4ed6\u552f\u4e00\u5728\u610f\u7684\u662f\u4ed6\u81ea\u5df1\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWe were _ on our way to the airport because of the heavy snow. A. held up B. held out C. held back D. held with\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u77ed\u8bed\u8fa8\u6790\u3002A. held up\u4e3e\u8d77,\u652f\u6491;\u963b\u6321;\u5ef6\u8bef;B. held out\u4f38\u51fa,\u575a\u6301;C. held back\u963b\u788d,\u9690\u85cf,\u514b\u5236;D. held with\u8d5e\u6210;\u53e5\u610f:\u56e0\u4e3a\u5927\u96ea,\u6211\u4eec\u88ab\u5ef6\u8bef\u5728\u53bb\u673a\u573a\u7684\u8def\u4e0a\u3002\u6839\u636e\u53e5\u610f\u53ef\u77e5A\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThere is little doubt _ the Internet is a great inventionin human history. A. whether B. that C. which D. what\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540c\u4f4d\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u6beb\u65e0\u7591\u95ee,\u5728\u4eba\u7c7b\u5386\u53f2\u4e0a\u56e0\u7279\u7f51\u662f\u4e00\u9879\u4f1f\u5927\u7684\u53d1\u660e\u3002\u53e5\u4e2d\u540c\u4f4d\u8bed\u4ece\u53e5that the Internet is a great invention in human history\u5bf9\u540d\u8bcd\u77ed\u8bedlittle doubt\u8fdb\u884c\u89e3\u91ca\u8bf4\u660e,that\u5728\u53e5\u4e2d\u4e0d\u5145\u5f53\u4efb\u4f55\u6210\u5206,\u53ea\u662f\u4e00\u4e2a\u5f15\u5bfc\u8bcd\u3002\u6545B\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u672c\u9898\u8003\u67e5\u4e86\u540c\u4f4d\u8bed\u4ece\u53e5,\u540c\u4f4d\u8bed\u662f\u5bf9\u524d\u9762\u7684\u540d\u8bcd\u7684\u89e3\u91ca\u8bf4\u660e,\u5f53\u540c\u4f4d\u8bed\u90e8\u5206\u662f\u4e2a\u53e5\u5b50\u7684\u65f6\u5019,\u5c31\u662f\u540c\u4f4d\u8bed\u4ece\u53e5,\u8fd9"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u3002\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMary worked here as a _ secretary and ended up _ a full-time job with the company. A. admirable; getting B. temporary; getting C. previous; to get D. cautious; to get\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u53ca\u56fa\u5b9a\u642d\u914d\u3002A. admirable\u4ee4\u4eba\u7fa1\u6155\u7684;B. temporary\u4e34\u65f6\u7684;C. previous\u5148\u524d\u7684;D. cautious\u8c28\u614e\u7684\u3002\u53e5\u610f:\u739b\u4e3d\u4f5c\u4e3a\u4e00\u4e2a\u4e34\u65f6\u79d8\u4e66\u5728\u8fd9\u91cc\u5de5\u4f5c,\u6700\u7ec8\u5728\u8fd9\u5bb6\u516c\u53f8\u5f97\u5230\u4e00\u4efd\u5168\u804c\u5de5\u4f5c\u3002\u56fa\u5b9a\u642d\u914d:end up doing sth. \u201c\u6700\u7ec8\u505a\u67d0\u4e8b\u201d\u3002\u6545B\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIt was obvious that there was _ between accounts of the witnesses for the murder case, so the judgment was not announced in court. A. security B. relation C. conflict D. revision\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8fa8\u6790\u3002A. security\u5b89\u5168;B. relation\u5173\u7cfb;C. conflict\u51b2\u7a81;D. revision\u590d\u4e60\u3002\u53e5\u610f:\u5f88\u660e\u663e,\u8c0b\u6740\u6848\u76ee\u51fb\u8005\u7684\u53d9\u8ff0\u6709\u51b2\u7a81,\u6240\u4ee5\u6cd5\u5ead\u6ca1\u6709\u5ba3\u5e03\u5224\u51b3\u3002\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a\u2014 Tom, what a pity! I almost succeeded yesterday. \u2014_. I told you to be careful before. A. One tree does not make a forest B. Where there\u2019s life, there\u2019s hope C. One false step will make a great difference D. Never put off till tomorrow what you can do today\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8c1a\u8bed\u8fa8\u6790\u3002A. One tree does not make a forest\u72ec\u6728\u4e0d\u6210\u6797;B. Where there\u2019s life, there\u2019s hope\u6709\u751f\u547d\u5c31\u6709\u5e0c\u671b;C. One false step will make a great difference\u5931\u4e4b\u6beb\u5398,\u8c2c\u4e4b\u5343\u91cc;D. Never put off till tomorrow what\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "\u3002\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMary worked here as a _ secretary and ended up _ a full-time job with the company. A. admirable; getting B. temporary; getting C. previous; to get D. cautious; to get\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u53ca\u56fa\u5b9a\u642d\u914d\u3002A. admirable\u4ee4\u4eba\u7fa1\u6155\u7684;B. temporary\u4e34\u65f6\u7684;C. previous\u5148\u524d\u7684;D. cautious\u8c28\u614e\u7684\u3002\u53e5\u610f:\u739b\u4e3d\u4f5c\u4e3a\u4e00\u4e2a\u4e34\u65f6\u79d8\u4e66\u5728\u8fd9\u91cc\u5de5\u4f5c,\u6700\u7ec8\u5728\u8fd9\u5bb6\u516c\u53f8\u5f97\u5230\u4e00\u4efd\u5168\u804c\u5de5\u4f5c\u3002\u56fa\u5b9a\u642d\u914d:end up doing sth. \u201c\u6700\u7ec8\u505a\u67d0\u4e8b\u201d\u3002\u6545B\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIt was obvious that there was _ between accounts of the witnesses for the murder case, so the judgment was not announced in court. A. security B. relation C. conflict D. revision\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8fa8\u6790\u3002A. security\u5b89\u5168;B. relation\u5173\u7cfb;C. conflict\u51b2\u7a81;D. revision\u590d\u4e60\u3002\u53e5\u610f:\u5f88\u660e\u663e,\u8c0b\u6740\u6848\u76ee\u51fb\u8005\u7684\u53d9\u8ff0\u6709\u51b2\u7a81,\u6240\u4ee5\u6cd5\u5ead\u6ca1\u6709\u5ba3\u5e03\u5224\u51b3\u3002\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a\u2014 Tom, what a pity! I almost succeeded yesterday. \u2014_. I told you to be careful before. A. One tree does not make a forest B. Where there\u2019s life, there\u2019s hope C. One false step will make a great difference D. Never put off till tomorrow what you can do today\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8c1a\u8bed\u8fa8\u6790\u3002A. One tree does not make a forest\u72ec\u6728\u4e0d\u6210\u6797;B. Where there\u2019s life, there\u2019s hope\u6709\u751f\u547d\u5c31\u6709\u5e0c\u671b;C. One false step will make a great difference\u5931\u4e4b\u6beb\u5398,\u8c2c\u4e4b\u5343\u91cc;D. Never put off till tomorrow what"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI can\u2019t stay out overnight without my parents\u2019_. A. obedience B. privacy C. affection D. approval\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u6ca1\u6709\u7236\u6bcd\u7684\u540c\u610f,\u6211\u4e0d\u80fd\u5728\u5916\u9762\u8fc7\u591c\u3002A. obedience\u670d\u4ece;B. privacy\u9690\u79c1;C. affection\u5f71\u54cd;D. approval\u540c\u610f\u3002\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aScientists have made a major _ in the treatment of cancer. A. barrier B. breakthrough C. companion D. concern\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u79d1\u5b66\u5bb6\u5728\u764c\u75c7\u6cbb\u7597\u65b9\u9762\u53d6\u5f97\u4e86\u91cd\u5927\u7a81\u7834\u3002A. barrier\u969c\u788d\u7269;B. breakthrough\u7a81\u7834;C. companion \u540c\u4f34;D. concern\u5173\u5fc3\u3002\u77ed\u8bedmake a breakthrough\u7a81\u7834\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aAccording to Professor Smith, the best approach _ a foreign language is to study the spoken language. A. to learn B. to learning C. of learning D. on learning\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u56fa\u5b9a\u642d\u914d\u3002\u53e5\u610f:\u53f2\u5bc6\u65af\u6559\u6388\u8ba4\u4e3a,\u5b66\u4e60\u5916\u8bed\u7684\u6700\u597d\u65b9\u6cd5\u662f\u5b66\u4e60\u53e3\u8bed\u3002the approach to doing sth.\u201c\u505a\u67d0\u4e8b\u7684\u65b9\u6cd5\u201d,\u6b64\u5904to\u662f\u4ecb\u8bcd,\u540e\u9762\u7528\u52a8\u540d\u8bcd\u4f5c\u8868\u8bed,\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHey, you _ at the computer all day. You should really take a break now. A. have been sitting B. were sitting C. did sit D. are sitting\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u73b0\u5728\u5b8c\u6210\u8fdb\u884c\u65f6\u6001\u3002\u53e5\u610f:\u563f,\u4f60\u6574\u5929\u90fd\u5750\u5728\u7535\u8111\u524d\u3002\u4f60\u73b0\u5728\u771f\u7684\u5e94\u8be5\u4f11\u606f\u4e00\u4e0b\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u53e5\u5b50\u7528\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI can\u2019t stay out overnight without my parents\u2019_. A. obedience B. privacy C. affection D. approval\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u6ca1\u6709\u7236\u6bcd\u7684\u540c\u610f,\u6211\u4e0d\u80fd\u5728\u5916\u9762\u8fc7\u591c\u3002A. obedience\u670d\u4ece;B. privacy\u9690\u79c1;C. affection\u5f71\u54cd;D. approval\u540c\u610f\u3002\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aScientists have made a major _ in the treatment of cancer. A. barrier B. breakthrough C. companion D. concern\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u79d1\u5b66\u5bb6\u5728\u764c\u75c7\u6cbb\u7597\u65b9\u9762\u53d6\u5f97\u4e86\u91cd\u5927\u7a81\u7834\u3002A. barrier\u969c\u788d\u7269;B. breakthrough\u7a81\u7834;C. companion \u540c\u4f34;D. concern\u5173\u5fc3\u3002\u77ed\u8bedmake a breakthrough\u7a81\u7834\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aAccording to Professor Smith, the best approach _ a foreign language is to study the spoken language. A. to learn B. to learning C. of learning D. on learning\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u56fa\u5b9a\u642d\u914d\u3002\u53e5\u610f:\u53f2\u5bc6\u65af\u6559\u6388\u8ba4\u4e3a,\u5b66\u4e60\u5916\u8bed\u7684\u6700\u597d\u65b9\u6cd5\u662f\u5b66\u4e60\u53e3\u8bed\u3002the approach to doing sth.\u201c\u505a\u67d0\u4e8b\u7684\u65b9\u6cd5\u201d,\u6b64\u5904to\u662f\u4ecb\u8bcd,\u540e\u9762\u7528\u52a8\u540d\u8bcd\u4f5c\u8868\u8bed,\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHey, you _ at the computer all day. You should really take a break now. A. have been sitting B. were sitting C. did sit D. are sitting\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u73b0\u5728\u5b8c\u6210\u8fdb\u884c\u65f6\u6001\u3002\u53e5\u610f:\u563f,\u4f60\u6574\u5929\u90fd\u5750\u5728\u7535\u8111\u524d\u3002\u4f60\u73b0\u5728\u771f\u7684\u5e94\u8be5\u4f11\u606f\u4e00\u4e0b\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u53e5\u5b50\u7528"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u3010\u9898\u5e72\u3011\uff1aChina Daily is _a newspaper, for it also can serve as a useful textbook for English study. A. more than B. more or less C. less than D. no more than\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8bcd\u7ec4\u3002A. more than\u8d85\u8fc7,\u4e0d\u4ec5\u4ec5\u662f;B. more or less\u6216\u591a\u6216\u5c11;C. less than\u5c11\u4e8e; D. no more than\u4ec5\u4ec5\u3002\u53e5\u610f:\u4e2d\u56fd\u65e5\u62a5\u4e0d\u4ec5\u662f\u4e00\u4efd\u62a5\u7eb8,\u5b83\u8fd8\u53ef\u4ee5\u5e2e\u6211\u4eec\u63d0\u9ad8\u82f1\u8bed\u6c34\u5e73\u3002more than\u540e\u63a5\u540d\u8bcd\u8868\u793a\u201c\u4e0d\u4ec5\u4ec5\u662f\u201d\u3002\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aDue to frequent layoffs, there is anxiety among the employees _ they may one day be out of work. A. when B. how C. why D. that\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fde\u8bcd\u3002A. when\u5f53\u2026\u2026\u7684\u65f6\u5019;B. how\u5982\u4f55,\u600e\u4e48;C. why\u4e3a\u4ec0\u4e48;D. that(\u5f15\u5bfc\u540d\u8bcd\u6027\u4ece\u53e5,\u4e0d\u505a\u53e5\u5b50\u6210\u5206,\u53ea\u8d77\u8fde\u63a5\u4f5c\u7528)\u3002\u53e5\u610f:\u7531\u4e8e\u9891\u7e41\u7684\u88c1\u5458,\u5458\u5de5\u4eec\u62c5\u5fc3\u6709\u4e00\u5929\u4f1a\u5931\u4e1a\u3002\u6839\u636e\u53e5\u610f\u53ca\u53e5\u5b50\u7ed3\u6784\u5206\u6790\u53ef\u77e5,\u6b64\u5904\u4e3aanxiety\u7684\u540c\u4f4d\u8bed\u4ece\u53e5,\u4ece\u53e5\u53e5\u5b50\u6210\u5206\u9f50\u5168,\u5e94\u4f7f\u7528that\u5f15\u5bfc\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011that\u5f15\u5bfc\u540c\u4f4d\u8bed\u4ece\u53e5\u548c\u5b9a\u8bed\u4ece\u53e5\u7684\u533a\u522b: 1)\u4ece\u53e5\u6cd5\u89d2\u5ea6\u6765\u770b,\u5f15\u5bfc\u540c\u4f4d\u8bed\u4ece\u53e5\u7684\u8fde\u8bcdthat\u53ea\u8d77\u8fde\u63a5\u4f5c\u7528,\u5728\u4ece\u53e5\u4e2d\u4e0d\u4f5c\u4efb\u4f55\u6210\u5206,\u4f46\u4e0d\u53ef\u4ee5\u7701\u7565;\u800c\u5f15\u5bfc\u5b9a\u8bed\u4ece\u53e5\u7684\u5173\u7cfb\u4ee3\u8bcdthat\u9664\u4e86\u8fde\u63a5\u4e3b\u53e5\u548c\u4ece\u53e5\u4e4b\u5916,\u5728\u4ece\u53e5\u4e2d\u4f5c\u4e00\u5b9a\u6210\u5206,\u6709\u65f6\u53ef\u7701\u7565\u3002 Along with the letter was his promise that he would visit me this coming Christmas.\u968f\u4fe1\u4e00\u8d77\u6765\u7684\u662f\u4ed6\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "\u3010\u9898\u5e72\u3011\uff1aChina Daily is _a newspaper, for it also can serve as a useful textbook for English study. A. more than B. more or less C. less than D. no more than\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8bcd\u7ec4\u3002A. more than\u8d85\u8fc7,\u4e0d\u4ec5\u4ec5\u662f;B. more or less\u6216\u591a\u6216\u5c11;C. less than\u5c11\u4e8e; D. no more than\u4ec5\u4ec5\u3002\u53e5\u610f:\u4e2d\u56fd\u65e5\u62a5\u4e0d\u4ec5\u662f\u4e00\u4efd\u62a5\u7eb8,\u5b83\u8fd8\u53ef\u4ee5\u5e2e\u6211\u4eec\u63d0\u9ad8\u82f1\u8bed\u6c34\u5e73\u3002more than\u540e\u63a5\u540d\u8bcd\u8868\u793a\u201c\u4e0d\u4ec5\u4ec5\u662f\u201d\u3002\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aDue to frequent layoffs, there is anxiety among the employees _ they may one day be out of work. A. when B. how C. why D. that\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fde\u8bcd\u3002A. when\u5f53\u2026\u2026\u7684\u65f6\u5019;B. how\u5982\u4f55,\u600e\u4e48;C. why\u4e3a\u4ec0\u4e48;D. that(\u5f15\u5bfc\u540d\u8bcd\u6027\u4ece\u53e5,\u4e0d\u505a\u53e5\u5b50\u6210\u5206,\u53ea\u8d77\u8fde\u63a5\u4f5c\u7528)\u3002\u53e5\u610f:\u7531\u4e8e\u9891\u7e41\u7684\u88c1\u5458,\u5458\u5de5\u4eec\u62c5\u5fc3\u6709\u4e00\u5929\u4f1a\u5931\u4e1a\u3002\u6839\u636e\u53e5\u610f\u53ca\u53e5\u5b50\u7ed3\u6784\u5206\u6790\u53ef\u77e5,\u6b64\u5904\u4e3aanxiety\u7684\u540c\u4f4d\u8bed\u4ece\u53e5,\u4ece\u53e5\u53e5\u5b50\u6210\u5206\u9f50\u5168,\u5e94\u4f7f\u7528that\u5f15\u5bfc\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011that\u5f15\u5bfc\u540c\u4f4d\u8bed\u4ece\u53e5\u548c\u5b9a\u8bed\u4ece\u53e5\u7684\u533a\u522b: 1)\u4ece\u53e5\u6cd5\u89d2\u5ea6\u6765\u770b,\u5f15\u5bfc\u540c\u4f4d\u8bed\u4ece\u53e5\u7684\u8fde\u8bcdthat\u53ea\u8d77\u8fde\u63a5\u4f5c\u7528,\u5728\u4ece\u53e5\u4e2d\u4e0d\u4f5c\u4efb\u4f55\u6210\u5206,\u4f46\u4e0d\u53ef\u4ee5\u7701\u7565;\u800c\u5f15\u5bfc\u5b9a\u8bed\u4ece\u53e5\u7684\u5173\u7cfb\u4ee3\u8bcdthat\u9664\u4e86\u8fde\u63a5\u4e3b\u53e5\u548c\u4ece\u53e5\u4e4b\u5916,\u5728\u4ece\u53e5\u4e2d\u4f5c\u4e00\u5b9a\u6210\u5206,\u6709\u65f6\u53ef\u7701\u7565\u3002 Along with the letter was his promise that he would visit me this coming Christmas.\u968f\u4fe1\u4e00\u8d77\u6765\u7684\u662f\u4ed6"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: :\u4ed6\u5bf9\u8fd9\u4ef6\u4e8b\u4fdd\u6301\u6c89\u9ed8,\u56e0\u4e3a\u4ed6\u4e0d\u60f3\u5192\u9669\u5377\u5165\u5176\u4e2d\u3002\u56fa\u5b9a\u642d\u914d:risk doing sth.\u201c\u5192\u9669\u505a\u67d0\u4e8b\u201d,\u4e14\u53e5\u5b50\u4e3b\u8bedhe\u548cinvolve\u4e4b\u95f4\u662f\u4e00\u79cd\u88ab\u52a8\u5173\u7cfb,\u6240\u4ee5\u8fd9\u91cc\u8981\u7528\u52a8\u540d\u8bcd\u4e00\u822c\u5f0f\u7684\u88ab\u52a8\u5f0f,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a_in voluntary work makes him feel happy and fulfilled. A. Participate B. Participated C. Participating D. Having participated\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u975e\u8c13\u8bed\u52a8\u8bcd\u3002\u53e5\u610f:\u53c2\u4e0e\u5fd7\u613f\u5de5\u4f5c\u4f7f\u4ed6\u611f\u5230\u5feb\u4e50\u548c\u6ee1\u8db3\u3002\u5206\u6790\u53e5\u5b50\u53ef\u77e5,\u53e5\u4e2d\u7f3a\u5c11\u4e3b\u8bed,\u6545\u7528\u52a8\u540d\u8bcd\u77ed\u8bed\u4f5c\u4e3b\u8bed\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe doctor tried to _ me that my mother would be fine. A. whistle B. emerge C. reassure D. bend\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u533b\u751f\u8bd5\u56fe\u8ba9\u6211\u653e\u5fc3,\u6211\u7684\u6bcd\u4eb2\u4f1a\u597d\u7684\u3002A. whistle\u5439\u53e3\u54e8;B. emerge\u6d6e\u73b0;C. reassure\u4f7f\u2026\u2026\u5b89\u5fc3;D. bend\u5f2f\u66f2\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aNew Zealand is home to around 16,000 bird _,double the number in all Europe. A. cures B. residents C. budgets D. species\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u65b0\u897f\u5170\u62e5\u6709\u5927\u7ea616,000\u79cd\u9e1f\u7c7b,\u662f\u6b27\u6d32\u603b\u6570\u7684\u4e24\u500d\u3002A. cures\u6cbb\u7597;B. residents\u5c45\u6c11;C. budgets\u9884\u7b97;D. species\u79cd\u7c7b\u3002\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMr. Painter wanted to design a new system to _ the water in his garden in heavy rains. A. retreat B.\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": ":\u4ed6\u5bf9\u8fd9\u4ef6\u4e8b\u4fdd\u6301\u6c89\u9ed8,\u56e0\u4e3a\u4ed6\u4e0d\u60f3\u5192\u9669\u5377\u5165\u5176\u4e2d\u3002\u56fa\u5b9a\u642d\u914d:risk doing sth.\u201c\u5192\u9669\u505a\u67d0\u4e8b\u201d,\u4e14\u53e5\u5b50\u4e3b\u8bedhe\u548cinvolve\u4e4b\u95f4\u662f\u4e00\u79cd\u88ab\u52a8\u5173\u7cfb,\u6240\u4ee5\u8fd9\u91cc\u8981\u7528\u52a8\u540d\u8bcd\u4e00\u822c\u5f0f\u7684\u88ab\u52a8\u5f0f,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a_in voluntary work makes him feel happy and fulfilled. A. Participate B. Participated C. Participating D. Having participated\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u975e\u8c13\u8bed\u52a8\u8bcd\u3002\u53e5\u610f:\u53c2\u4e0e\u5fd7\u613f\u5de5\u4f5c\u4f7f\u4ed6\u611f\u5230\u5feb\u4e50\u548c\u6ee1\u8db3\u3002\u5206\u6790\u53e5\u5b50\u53ef\u77e5,\u53e5\u4e2d\u7f3a\u5c11\u4e3b\u8bed,\u6545\u7528\u52a8\u540d\u8bcd\u77ed\u8bed\u4f5c\u4e3b\u8bed\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe doctor tried to _ me that my mother would be fine. A. whistle B. emerge C. reassure D. bend\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u533b\u751f\u8bd5\u56fe\u8ba9\u6211\u653e\u5fc3,\u6211\u7684\u6bcd\u4eb2\u4f1a\u597d\u7684\u3002A. whistle\u5439\u53e3\u54e8;B. emerge\u6d6e\u73b0;C. reassure\u4f7f\u2026\u2026\u5b89\u5fc3;D. bend\u5f2f\u66f2\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aNew Zealand is home to around 16,000 bird _,double the number in all Europe. A. cures B. residents C. budgets D. species\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u65b0\u897f\u5170\u62e5\u6709\u5927\u7ea616,000\u79cd\u9e1f\u7c7b,\u662f\u6b27\u6d32\u603b\u6570\u7684\u4e24\u500d\u3002A. cures\u6cbb\u7597;B. residents\u5c45\u6c11;C. budgets\u9884\u7b97;D. species\u79cd\u7c7b\u3002\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMr. Painter wanted to design a new system to _ the water in his garden in heavy rains. A. retreat B."}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: several months and it made farmers _ about the harvest. A. astonished B. anxious C. eager D. busy\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u5e72\u65f1\u5df2\u7ecf\u6301\u7eed\u4e86\u51e0\u4e2a\u6708,\u519c\u6c11\u4eec\u5bf9\u6536\u6210\u611f\u5230\u7126\u8651\u3002A. astonished\u60ca\u8bb6\u7684;B. anxious\u7126\u8651\u7684;C. eager\u6e34\u671b\u7684;D. busy\u7e41\u5fd9\u7684\u3002be anxious about\u201c\u5bf9\u2026\u2026\u611f\u5230\u7126\u8651\u201d,\u5e72\u65f1\u4f1a\u5f71\u54cd\u6536\u6210,\u519c\u6c11\u4eec\u81ea\u7136\u4f1a\u611f\u5230\u7126\u8651,\u6545B\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe atmosphere gets thinner and thinner _ the height increases. A. while B. since C. as D. for\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fde\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u968f\u7740\u9ad8\u5ea6\u7684\u589e\u52a0,\u5927\u6c14\u53d8\u5f97\u8d8a\u6765\u8d8a\u7a00\u8584\u3002A. while\u5f53\u2026\u2026\u65f6;B. since\u81ea\u4ece\u2026\u2026\u4ee5\u6765;C. as\u968f\u7740\u2026\u2026;D. for\u56e0\u4e3a\u3002\u8fd9\u91cc\u8868\u793a\u4f34\u968f,\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aBy the time he was 4 years old, he _ 100 English words. A. learns B. will have learned C. has learned D. had learned\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fc7\u53bb\u5b8c\u6210\u65f6\u3002\u53e5\u610f:\u5230\u4ed64\u5c81\u7684\u65f6\u5019,\u4ed6\u5df2\u7ecf\u5b66\u4f1a\u4e86100\u4e2a\u82f1\u8bed\u5355\u8bcd\u3002by the time\u5f15\u5bfc\u7684\u65f6\u95f4\u72b6\u8bed\u4ece\u53e5,\u4ece\u53e5\u8fc7\u53bb\u65f6,\u4e3b\u53e5\u7528\u8fc7\u53bb\u5b8c\u6210\u65f6\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011by the time\u610f\u4e3a\u201c\u5230\u2026\u2026\u65f6\u5019(\u4e3a\u6b62)\u201d,\u662f\u4e00\u4e2a\u4ecb\u8bcd\u77ed\u8bed,\u5728\u53e5\u4e2d\u7ecf\u5e38\u8d77\u8fde\u8bcd\u4f5c\u7528,\u5f15\u5bfc\u65f6\u95f4\u72b6\u8bed\u4ece\u53e5\u3002\u5b83\u7684\u4e3b\u8981\u7528\u6cd5\u5982\u4e0b: 1. \u5982\u679c\u4ece\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u662f\u4e00\u822c\u8fc7\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "several months and it made farmers _ about the harvest. A. astonished B. anxious C. eager D. busy\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u5e72\u65f1\u5df2\u7ecf\u6301\u7eed\u4e86\u51e0\u4e2a\u6708,\u519c\u6c11\u4eec\u5bf9\u6536\u6210\u611f\u5230\u7126\u8651\u3002A. astonished\u60ca\u8bb6\u7684;B. anxious\u7126\u8651\u7684;C. eager\u6e34\u671b\u7684;D. busy\u7e41\u5fd9\u7684\u3002be anxious about\u201c\u5bf9\u2026\u2026\u611f\u5230\u7126\u8651\u201d,\u5e72\u65f1\u4f1a\u5f71\u54cd\u6536\u6210,\u519c\u6c11\u4eec\u81ea\u7136\u4f1a\u611f\u5230\u7126\u8651,\u6545B\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe atmosphere gets thinner and thinner _ the height increases. A. while B. since C. as D. for\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fde\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u968f\u7740\u9ad8\u5ea6\u7684\u589e\u52a0,\u5927\u6c14\u53d8\u5f97\u8d8a\u6765\u8d8a\u7a00\u8584\u3002A. while\u5f53\u2026\u2026\u65f6;B. since\u81ea\u4ece\u2026\u2026\u4ee5\u6765;C. as\u968f\u7740\u2026\u2026;D. for\u56e0\u4e3a\u3002\u8fd9\u91cc\u8868\u793a\u4f34\u968f,\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aBy the time he was 4 years old, he _ 100 English words. A. learns B. will have learned C. has learned D. had learned\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fc7\u53bb\u5b8c\u6210\u65f6\u3002\u53e5\u610f:\u5230\u4ed64\u5c81\u7684\u65f6\u5019,\u4ed6\u5df2\u7ecf\u5b66\u4f1a\u4e86100\u4e2a\u82f1\u8bed\u5355\u8bcd\u3002by the time\u5f15\u5bfc\u7684\u65f6\u95f4\u72b6\u8bed\u4ece\u53e5,\u4ece\u53e5\u8fc7\u53bb\u65f6,\u4e3b\u53e5\u7528\u8fc7\u53bb\u5b8c\u6210\u65f6\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011by the time\u610f\u4e3a\u201c\u5230\u2026\u2026\u65f6\u5019(\u4e3a\u6b62)\u201d,\u662f\u4e00\u4e2a\u4ecb\u8bcd\u77ed\u8bed,\u5728\u53e5\u4e2d\u7ecf\u5e38\u8d77\u8fde\u8bcd\u4f5c\u7528,\u5f15\u5bfc\u65f6\u95f4\u72b6\u8bed\u4ece\u53e5\u3002\u5b83\u7684\u4e3b\u8981\u7528\u6cd5\u5982\u4e0b: 1. \u5982\u679c\u4ece\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u662f\u4e00\u822c\u8fc7"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: +\u5176\u4ed6-\u3002\u7531\u6b64\u53ef\u77e5A\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u6d45\u8c08\u5f3a\u8c03\u53e5 1. \u7528It is/was...that/who...\u53e5\u578b\u8868\u793a\u5f3a\u8c03\u3002 (1)\u9648\u8ff0\u53e5\u7684\u5f3a\u8c03\u53e5\u578b:It is/was+\u88ab\u5f3a\u8c03\u90e8\u5206(\u901a\u5e38\u662f\u4e3b\u8bed\u3001\u5bbe\u8bed\u6216\u72b6\u8bed)+that/who(\u5f53\u5f3a\u8c03\u4e3b\u8bed\u4e14\u4e3b\u8bed\u6307\u4eba)+\u5176\u5b83\u90e8\u5206\u3002 e.g. It was yesterday that he met Li Ping. (2)\u4e00\u822c\u7591\u95ee\u53e5\u7684\u5f3a\u8c03\u53e5\u578b:\u540c\u4e0a,\u53ea\u662f\u628ais/was\u63d0\u5230it\u524d\u9762\u3002 e.g. Was it yesterday that he met Li Ping? (3)\u7279\u6b8a\u7591\u95ee\u53e5\u7684\u5f3a\u8c03\u53e5\u578b:\u88ab\u5f3a\u8c03\u90e8\u5206(\u901a\u5e38\u662f\u7591\u95ee\u4ee3\u8bcd\u6216\u7591\u95ee\u526f\u8bcd)+is/was+it+that/who+\u5176\u5b83\u90e8\u5206?e.g. When and where was it that you were born? 2. not...until...\u53e5\u578b\u7684\u5f3a\u8c03\u53e5: \u53e5\u578b\u4e3a:It is/was not until+\u88ab\u5f3a\u8c03\u90e8\u5206+that+\u5176\u5b83\u90e8\u5206: e.g. \u666e\u901a\u53e5:He didn't go to bed until/till his wife came back. \u5f3a\u8c03\u53e5:It was not until his wife came back that he went to bed. \u6ce8\u610f:\u6b64\u53e5\u578b\u53ea\u7528until,\u4e0d\u7528till\u3002\u4f46\u5982\u679c\u4e0d\u662f\u5f3a\u8c03\u53e5\u578b,till, until\u53ef\u901a\u7528; \u56e0\u4e3a\u53e5\u578b\u4e2dIt is/was not...\u5df2\u7ecf\u662f\u5426\u5b9a\u53e5\u4e86,that\u540e\u9762\u7684\u4ece\u53e5\u8981\u7528\u80af\u5b9a\u53e5,\u5207\u52ff\u518d\u7528\u5426\u5b9a\u53e5\u4e86\u3002 3. \u5f3a\u8c03\u8c13\u8bed\u52a8\u8bcd:\u7528\u52a9\u52a8\u8bcddo, does\u6216did\u52a0\u52a8\u8bcd\u539f\u5f62\u6765\u5f3a\u8c03\u8c13\u8bed\u52a8\u8bcd\u3002\u6ce8\u610f:\u6b64\u79cd\u5f3a\u8c03\u53ea\u7528do/does\u548cdid,\u6ca1\u6709\u522b\u7684\u5f62\u5f0f;\u8fc7\u53bb\u65f6\u6001\u7528did,\u540e\u9762\u7684\u8c13\u8bed\u52a8\u8bcd\u7528\u539f\u5f62\u3002\u5982:Do come early. \u52a1\u5fc5\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "+\u5176\u4ed6-\u3002\u7531\u6b64\u53ef\u77e5A\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u6d45\u8c08\u5f3a\u8c03\u53e5 1. \u7528It is/was...that/who...\u53e5\u578b\u8868\u793a\u5f3a\u8c03\u3002 (1)\u9648\u8ff0\u53e5\u7684\u5f3a\u8c03\u53e5\u578b:It is/was+\u88ab\u5f3a\u8c03\u90e8\u5206(\u901a\u5e38\u662f\u4e3b\u8bed\u3001\u5bbe\u8bed\u6216\u72b6\u8bed)+that/who(\u5f53\u5f3a\u8c03\u4e3b\u8bed\u4e14\u4e3b\u8bed\u6307\u4eba)+\u5176\u5b83\u90e8\u5206\u3002 e.g. It was yesterday that he met Li Ping. (2)\u4e00\u822c\u7591\u95ee\u53e5\u7684\u5f3a\u8c03\u53e5\u578b:\u540c\u4e0a,\u53ea\u662f\u628ais/was\u63d0\u5230it\u524d\u9762\u3002 e.g. Was it yesterday that he met Li Ping? (3)\u7279\u6b8a\u7591\u95ee\u53e5\u7684\u5f3a\u8c03\u53e5\u578b:\u88ab\u5f3a\u8c03\u90e8\u5206(\u901a\u5e38\u662f\u7591\u95ee\u4ee3\u8bcd\u6216\u7591\u95ee\u526f\u8bcd)+is/was+it+that/who+\u5176\u5b83\u90e8\u5206?e.g. When and where was it that you were born? 2. not...until...\u53e5\u578b\u7684\u5f3a\u8c03\u53e5: \u53e5\u578b\u4e3a:It is/was not until+\u88ab\u5f3a\u8c03\u90e8\u5206+that+\u5176\u5b83\u90e8\u5206: e.g. \u666e\u901a\u53e5:He didn't go to bed until/till his wife came back. \u5f3a\u8c03\u53e5:It was not until his wife came back that he went to bed. \u6ce8\u610f:\u6b64\u53e5\u578b\u53ea\u7528until,\u4e0d\u7528till\u3002\u4f46\u5982\u679c\u4e0d\u662f\u5f3a\u8c03\u53e5\u578b,till, until\u53ef\u901a\u7528; \u56e0\u4e3a\u53e5\u578b\u4e2dIt is/was not...\u5df2\u7ecf\u662f\u5426\u5b9a\u53e5\u4e86,that\u540e\u9762\u7684\u4ece\u53e5\u8981\u7528\u80af\u5b9a\u53e5,\u5207\u52ff\u518d\u7528\u5426\u5b9a\u53e5\u4e86\u3002 3. \u5f3a\u8c03\u8c13\u8bed\u52a8\u8bcd:\u7528\u52a9\u52a8\u8bcddo, does\u6216did\u52a0\u52a8\u8bcd\u539f\u5f62\u6765\u5f3a\u8c03\u8c13\u8bed\u52a8\u8bcd\u3002\u6ce8\u610f:\u6b64\u79cd\u5f3a\u8c03\u53ea\u7528do/does\u548cdid,\u6ca1\u6709\u522b\u7684\u5f62\u5f0f;\u8fc7\u53bb\u65f6\u6001\u7528did,\u540e\u9762\u7684\u8c13\u8bed\u52a8\u8bcd\u7528\u539f\u5f62\u3002\u5982:Do come early. \u52a1\u5fc5"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffd\u539f\u5f62\u6765\u5f3a\u8c03\u8c13\u8bed\u52a8\u8bcd\u3002\u6ce8\u610f:\u6b64\u79cd\u5f3a\u8c03\u53ea\u7528do/does\u548cdid,\u6ca1\u6709\u522b\u7684\u5f62\u5f0f;\u8fc7\u53bb\u65f6\u6001\u7528did,\u540e\u9762\u7684\u8c13\u8bed\u52a8\u8bcd\u7528\u539f\u5f62\u3002\u5982:Do come early. \u52a1\u5fc5\u65e9\u6765\u3002He did send you a letter last week. \u6628\u5929\u4ed6\u786e\u5b9e\u5bc4\u7ed9\u4f60\u4e00\u5c01\u4fe1\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aSpelling Bee is a contest _ competitors, usually children, are asked to spell as many words as possible. A. which B. when C. what D. where\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5b9a\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u62fc\u5b57\u6bd4\u8d5b\u662f\u8981\u6c42\u53c2\u8d5b\u8005,\u901a\u5e38\u662f\u5b69\u5b50,\u62fc\u51fa\u5c3d\u53ef\u80fd\u591a\u7684\u5355\u8bcd\u7684\u6bd4\u8d5b\u3002\u6b64\u5904a contest\u662f\u5148\u884c\u8bcd,\u5728\u540e\u9762\u7684\u5b9a\u8bed\u4ece\u53e5\u4e2d\u4f5c\u5730\u70b9\u72b6\u8bed,\u6545\u7b54\u6848\u4e3aD\u3002\u3010\u70b9\u775b\u3011\u5206\u6790\u5b9a\u8bed\u4ece\u53e5\u5173\u952e\u6293\u4f4f\u4e24\u70b9:\u7b2c\u4e00\u3001\u627e\u51c6\u5148\u884c\u8bcd;\u7b2c\u4e8c\u3001\u770b\u5148\u884c\u8bcd\u5728\u5b9a\u8bed\u4ece\u53e5\u4e2d\u6240\u4f5c\u7684\u6210\u5206\u3002\u5148\u884c\u8bcd\u5f80\u5f80\u4e3a\u540d\u8bcd\u6216\u4ee3\u8bcd,\u5982\u672c\u9898\u4e2d\u5148\u884c\u8bcd\u4e3a\u540d\u8bcda contest,\u518d\u5206\u6790\u5148\u884c\u8bcda contest\u5728\u5b9a\u8bed\u4ece\u53e5\u4e2d\u6240\u4f5c\u7684\u6210\u5206,\u5c06\u5148\u884c\u8bcda contest\u5e26\u5230\u4ece\u53e5\u4e2d\u53ef\u77e5,\u53ea\u80fd\u4f5c\u5730\u70b9\u72b6\u8bed,\u6545\u786e\u5b9a\u5173\u7cfb\u8bcdwhere\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHe kept silent over the matter because he had no intention to risk _ in it. A. to involve B. involving C. being involved D. to be involved\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u975e\u8c13\u8bed\u52a8\u8bcd\u3002\u53e5\u610f:\u4ed6\u5bf9\u8fd9\u4ef6\u4e8b\u4fdd\u6301\u6c89\u9ed8,\u56e0\u4e3a\u4ed6\u4e0d\u60f3\u5192\u9669\u5377\u5165\u5176\u4e2d\u3002\u56fa\u5b9a\u642d\u914d:risk doing sth.\u201c\u5192\u9669\u505a\u67d0\u4e8b\u201d,\u4e14\u53e5\u5b50\u4e3b\u8bedhe\u548cinvolve\u4e4b\u95f4\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "\ufffd\u539f\u5f62\u6765\u5f3a\u8c03\u8c13\u8bed\u52a8\u8bcd\u3002\u6ce8\u610f:\u6b64\u79cd\u5f3a\u8c03\u53ea\u7528do/does\u548cdid,\u6ca1\u6709\u522b\u7684\u5f62\u5f0f;\u8fc7\u53bb\u65f6\u6001\u7528did,\u540e\u9762\u7684\u8c13\u8bed\u52a8\u8bcd\u7528\u539f\u5f62\u3002\u5982:Do come early. \u52a1\u5fc5\u65e9\u6765\u3002He did send you a letter last week. \u6628\u5929\u4ed6\u786e\u5b9e\u5bc4\u7ed9\u4f60\u4e00\u5c01\u4fe1\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aSpelling Bee is a contest _ competitors, usually children, are asked to spell as many words as possible. A. which B. when C. what D. where\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5b9a\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u62fc\u5b57\u6bd4\u8d5b\u662f\u8981\u6c42\u53c2\u8d5b\u8005,\u901a\u5e38\u662f\u5b69\u5b50,\u62fc\u51fa\u5c3d\u53ef\u80fd\u591a\u7684\u5355\u8bcd\u7684\u6bd4\u8d5b\u3002\u6b64\u5904a contest\u662f\u5148\u884c\u8bcd,\u5728\u540e\u9762\u7684\u5b9a\u8bed\u4ece\u53e5\u4e2d\u4f5c\u5730\u70b9\u72b6\u8bed,\u6545\u7b54\u6848\u4e3aD\u3002\u3010\u70b9\u775b\u3011\u5206\u6790\u5b9a\u8bed\u4ece\u53e5\u5173\u952e\u6293\u4f4f\u4e24\u70b9:\u7b2c\u4e00\u3001\u627e\u51c6\u5148\u884c\u8bcd;\u7b2c\u4e8c\u3001\u770b\u5148\u884c\u8bcd\u5728\u5b9a\u8bed\u4ece\u53e5\u4e2d\u6240\u4f5c\u7684\u6210\u5206\u3002\u5148\u884c\u8bcd\u5f80\u5f80\u4e3a\u540d\u8bcd\u6216\u4ee3\u8bcd,\u5982\u672c\u9898\u4e2d\u5148\u884c\u8bcd\u4e3a\u540d\u8bcda contest,\u518d\u5206\u6790\u5148\u884c\u8bcda contest\u5728\u5b9a\u8bed\u4ece\u53e5\u4e2d\u6240\u4f5c\u7684\u6210\u5206,\u5c06\u5148\u884c\u8bcda contest\u5e26\u5230\u4ece\u53e5\u4e2d\u53ef\u77e5,\u53ea\u80fd\u4f5c\u5730\u70b9\u72b6\u8bed,\u6545\u786e\u5b9a\u5173\u7cfb\u8bcdwhere\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHe kept silent over the matter because he had no intention to risk _ in it. A. to involve B. involving C. being involved D. to be involved\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u975e\u8c13\u8bed\u52a8\u8bcd\u3002\u53e5\u610f:\u4ed6\u5bf9\u8fd9\u4ef6\u4e8b\u4fdd\u6301\u6c89\u9ed8,\u56e0\u4e3a\u4ed6\u4e0d\u60f3\u5192\u9669\u5377\u5165\u5176\u4e2d\u3002\u56fa\u5b9a\u642d\u914d:risk doing sth.\u201c\u5192\u9669\u505a\u67d0\u4e8b\u201d,\u4e14\u53e5\u5b50\u4e3b\u8bedhe\u548cinvolve\u4e4b\u95f4"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: . cures\u6cbb\u7597;B. residents\u5c45\u6c11;C. budgets\u9884\u7b97;D. species\u79cd\u7c7b\u3002\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMr. Painter wanted to design a new system to _ the water in his garden in heavy rains. A. retreat B. drain C. tremble D. shrink\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:Painter\u5148\u751f\u60f3\u8bbe\u8ba1\u4e00\u79cd\u65b0\u7684\u7cfb\u7edf,\u5728\u4e0b\u5927\u96e8\u65f6\u6765\u7ed9\u4ed6\u7684\u82b1\u56ed\u91cc\u6392\u6c34\u3002A. retreat\u64a4\u9000;B. drain\u6392\u51fa;C. tremble\u53d1\u6296;D. shrink\u9000\u7f29\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe family wrote a letter to the organization to express their _ for help. A. faith B. appeal C. relief D. sight\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u8fd9\u5bb6\u4eba\u5199\u4e86\u4e00\u5c01\u4fe1\u7ed9\u8be5\u7ec4\u7ec7\u8868\u8fbe\u4ed6\u4eec\u9700\u8981\u63f4\u52a9\u7684\u6073\u6c42\u3002A. faith\u4fe1\u4ef0;B. appeal\u6073\u6c42;C. relief\u51cf\u8f7b;D. sight\u89c6\u529b\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWinning this game is _ to the team, for the result will decide whether it can defend its championship. A. contemporary B. crucial C. complicated D. constant\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u8d62\u5f97\u8fd9\u573a\u6bd4\u8d5b\u5bf9\u7403\u961f\u81f3\u5173\u91cd\u8981,\u56e0\u4e3a\u7ed3\u679c\u5c06\u51b3\u5b9a\u5b83\u80fd\u5426\u536b\u5195\u51a0\u519b\u3002A. contemporary\u5f53\u4ee3\u7684;B. crucial\u51b3\u5b9a\u6027\u7684;C. complicated\u590d\u6742\u96be\u61c2\u7684;D. constant\u7ecf\u5e38\u7684\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI can\u2019t stay out overnight without my parents\u2019_. A. obedience B. privacy C. affection D. approval\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\ufffd\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": ". cures\u6cbb\u7597;B. residents\u5c45\u6c11;C. budgets\u9884\u7b97;D. species\u79cd\u7c7b\u3002\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMr. Painter wanted to design a new system to _ the water in his garden in heavy rains. A. retreat B. drain C. tremble D. shrink\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:Painter\u5148\u751f\u60f3\u8bbe\u8ba1\u4e00\u79cd\u65b0\u7684\u7cfb\u7edf,\u5728\u4e0b\u5927\u96e8\u65f6\u6765\u7ed9\u4ed6\u7684\u82b1\u56ed\u91cc\u6392\u6c34\u3002A. retreat\u64a4\u9000;B. drain\u6392\u51fa;C. tremble\u53d1\u6296;D. shrink\u9000\u7f29\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe family wrote a letter to the organization to express their _ for help. A. faith B. appeal C. relief D. sight\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u8fd9\u5bb6\u4eba\u5199\u4e86\u4e00\u5c01\u4fe1\u7ed9\u8be5\u7ec4\u7ec7\u8868\u8fbe\u4ed6\u4eec\u9700\u8981\u63f4\u52a9\u7684\u6073\u6c42\u3002A. faith\u4fe1\u4ef0;B. appeal\u6073\u6c42;C. relief\u51cf\u8f7b;D. sight\u89c6\u529b\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWinning this game is _ to the team, for the result will decide whether it can defend its championship. A. contemporary B. crucial C. complicated D. constant\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u8d62\u5f97\u8fd9\u573a\u6bd4\u8d5b\u5bf9\u7403\u961f\u81f3\u5173\u91cd\u8981,\u56e0\u4e3a\u7ed3\u679c\u5c06\u51b3\u5b9a\u5b83\u80fd\u5426\u536b\u5195\u51a0\u519b\u3002A. contemporary\u5f53\u4ee3\u7684;B. crucial\u51b3\u5b9a\u6027\u7684;C. complicated\u590d\u6742\u96be\u61c2\u7684;D. constant\u7ecf\u5e38\u7684\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI can\u2019t stay out overnight without my parents\u2019_. A. obedience B. privacy C. affection D. approval\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\ufffd"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u53e5\u610f:\u53ea\u8981\u4f60\u5c3d\u529b\u800c\u4e3a,\u5373\u4f7f\u5c06\u6765\u53ef\u80fd\u5931\u8d25\u4e5f\u4e0d\u4f1a\u6709\u4eba\u6307\u8d23\u4f60\u3002A. as though\u4eff\u4f5b;B. in case\u4e07\u4e00;C. now that\u65e2\u7136;D. even if\u5373\u4f7f\u3002\u524d\u540e\u662f\u8ba9\u6b65\u5173\u7cfb,\u6b64\u5904\u5e94\u7528even if\u5f15\u5bfc\u8ba9\u6b65\u72b6\u8bed\u4ece\u53e5\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI\u2019ve spent _ most exciting day today, for _ younger of my two sons has been admitted into the university. A. a;a B. a;the C. the;a D. the;/\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u51a0\u8bcd\u7684\u7528\u6cd5\u3002\u53e5\u610f:\u6211\u4eca\u5929\u5ea6\u8fc7\u4e86\u975e\u5e38\u5174\u594b\u7684\u4e00\u5929,\u56e0\u4e3a\u6211\u4e24\u4e2a\u513f\u5b50\u4e2d\u8f83\u5c0f\u7684\u90a3\u4e00\u4e2a\u5df2\u7ecf\u88ab\u5927\u5b66\u5f55\u53d6\u3002a/an + most +\u5f62\u5bb9\u8bcd\"\u975e\u5e38\u2026\u2026\"\u3002\u800c\u6307\"\u4e24\u4e2a\u4e2d\u8f83\u2026\u2026\u7684\"\u65f6,\u5e38\u5e38\u7528the + \u6bd4\u8f83\u7ea7+ of the two\u3002 \u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThey have read the paper many times, but it doesn\u2019t make any _. A. sense B. value C. mark D. symbol\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8fa8\u6790\u548c\u642d\u914d\u3002\u53e5\u610f:\u4ed6\u4eec\u5df2\u7ecf\u8bfb\u4e86\u8fd9\u7bc7\u8bba\u6587\u5f88\u591a\u904d\u4e86,\u4f46\u662f\u8fd8\u662f\u6ca1\u6709\u7406\u89e3\u3002sense\u610f\u4e49;value\u4ef7\u503c;mark\u6807\u5fd7;symbol\u8c61\u5f81\u3002make sense\u6709\u610f\u4e49, \u7406\u89e3,\u8bb2\u5f97\u901a\u3002\u6839\u636e\u8bed\u5883\u53ef\u77e5A\u7b26\u5408\u9898\u610f,\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aYesterday she got _, giving us no choice but to send her to the nearest hospital. A. sicker and sicker B. sick and sick C. more sicker D. less sicker\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u6bd4\u8f83\u7ea7\u3002\u53e5\u610f:\u6628\u5929\u5979\u7684\u75c5\u53d8\u5f97\u8d8a\u6765\u8d8a\u4e25\u91cd\u4e86,\u6211\u4eec\u522b\u65e0\u9009\u62e9\u53ea\u80fd\u9001\u5979\u53bb\u4e86\u6700\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "\u53e5\u610f:\u53ea\u8981\u4f60\u5c3d\u529b\u800c\u4e3a,\u5373\u4f7f\u5c06\u6765\u53ef\u80fd\u5931\u8d25\u4e5f\u4e0d\u4f1a\u6709\u4eba\u6307\u8d23\u4f60\u3002A. as though\u4eff\u4f5b;B. in case\u4e07\u4e00;C. now that\u65e2\u7136;D. even if\u5373\u4f7f\u3002\u524d\u540e\u662f\u8ba9\u6b65\u5173\u7cfb,\u6b64\u5904\u5e94\u7528even if\u5f15\u5bfc\u8ba9\u6b65\u72b6\u8bed\u4ece\u53e5\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI\u2019ve spent _ most exciting day today, for _ younger of my two sons has been admitted into the university. A. a;a B. a;the C. the;a D. the;/\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u51a0\u8bcd\u7684\u7528\u6cd5\u3002\u53e5\u610f:\u6211\u4eca\u5929\u5ea6\u8fc7\u4e86\u975e\u5e38\u5174\u594b\u7684\u4e00\u5929,\u56e0\u4e3a\u6211\u4e24\u4e2a\u513f\u5b50\u4e2d\u8f83\u5c0f\u7684\u90a3\u4e00\u4e2a\u5df2\u7ecf\u88ab\u5927\u5b66\u5f55\u53d6\u3002a/an + most +\u5f62\u5bb9\u8bcd\"\u975e\u5e38\u2026\u2026\"\u3002\u800c\u6307\"\u4e24\u4e2a\u4e2d\u8f83\u2026\u2026\u7684\"\u65f6,\u5e38\u5e38\u7528the + \u6bd4\u8f83\u7ea7+ of the two\u3002 \u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThey have read the paper many times, but it doesn\u2019t make any _. A. sense B. value C. mark D. symbol\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8fa8\u6790\u548c\u642d\u914d\u3002\u53e5\u610f:\u4ed6\u4eec\u5df2\u7ecf\u8bfb\u4e86\u8fd9\u7bc7\u8bba\u6587\u5f88\u591a\u904d\u4e86,\u4f46\u662f\u8fd8\u662f\u6ca1\u6709\u7406\u89e3\u3002sense\u610f\u4e49;value\u4ef7\u503c;mark\u6807\u5fd7;symbol\u8c61\u5f81\u3002make sense\u6709\u610f\u4e49, \u7406\u89e3,\u8bb2\u5f97\u901a\u3002\u6839\u636e\u8bed\u5883\u53ef\u77e5A\u7b26\u5408\u9898\u610f,\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aYesterday she got _, giving us no choice but to send her to the nearest hospital. A. sicker and sicker B. sick and sick C. more sicker D. less sicker\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u6bd4\u8f83\u7ea7\u3002\u53e5\u610f:\u6628\u5929\u5979\u7684\u75c5\u53d8\u5f97\u8d8a\u6765\u8d8a\u4e25\u91cd\u4e86,\u6211\u4eec\u522b\u65e0\u9009\u62e9\u53ea\u80fd\u9001\u5979\u53bb\u4e86\u6700"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffd\u7684\u5173\u7cfb\u4ee3\u8bcdthat\u9664\u4e86\u8fde\u63a5\u4e3b\u53e5\u548c\u4ece\u53e5\u4e4b\u5916,\u5728\u4ece\u53e5\u4e2d\u4f5c\u4e00\u5b9a\u6210\u5206,\u6709\u65f6\u53ef\u7701\u7565\u3002 Along with the letter was his promise that he would visit me this coming Christmas.\u968f\u4fe1\u4e00\u8d77\u6765\u7684\u662f\u4ed6\u7684\u627f\u8bfa,\u4ed6\u8bf4\u4f1a\u5728\u5373\u5c06\u5230\u6765\u7684\u5723\u8bde\u8282\u6765\u770b\u6211\u3002(\u540c\u4f4d\u8bed\u4ece\u53e5\u4e2d\u7684that\u4e0d\u505a\u4efb\u4f55\u6210\u5206) The suggestion (that) he made at the meeting was very right.\u4ed6\u5728\u4f1a\u8bae\u4e0a\u7ed9\u51fa\u7684\u5efa\u8bae\u662f\u6b63\u786e\u7684\u3002(\u6b64\u5b9a\u8bed\u4ece\u53e5\u4e2d\u7684that\u5728\u4ece\u53e5\u4e2d\u4f5c\u5bbe\u8bed,\u53ef\u4ee5\u7701\u7565) 2)\u4ece\u8bed\u4e49\u89d2\u5ea6\u6765\u770b,\u540c\u4f4d\u8bed\u4ece\u53e5that\u5f15\u5bfc\u7684\u4ece\u53e5\u5728\u53e5\u4e2d\u89e3\u91ca\u8bf4\u660e\u524d\u9762\u7684\u540d\u8bcd,\u800c\u5b9a\u8bed\u4ece\u53e5\u4e2dthat\u5f15\u5bfc\u7684\u4ece\u53e5\u5219\u662f\u8d77\u5230\u4fee\u9970\u9650\u5b9a\u5148\u884c\u8bcd\u7684\u4f5c\u7528\u3002 The news that we are having a holiday tomorrow is not true.\u660e\u5929\u653e\u5047\u7684\u6d88\u606f\u4e0d\u5b9e\u3002(that\u5f15\u5bfc\u7684\u4ece\u53e5\u8bf4\u660enews\u7684\u5185\u5bb9) He lost his money that had been saved for a long time.\u4ed6\u4e22\u4e86\u5b58\u4e86\u5f88\u4e45\u7684\u94b1\u3002(that\u5f15\u5bfc\u7684\u5b9a\u8bed\u4ece\u53e5,\u4fee\u9970\u9650\u5b9a\u5148\u884c\u8bcdmoney)\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aNowadays many parents tend to be tolerant _ their children\u2019s choices of majors at university. A. as a consequence of B. regardless of C. in regard to D. at the mercy of\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ecb\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. as a consequence of\u7ed3\u679c;B. regardless of\u4e0d\u7ba1;C. in regard to\u5173\u4e8e;D. at the mercy of\u652f\u914d\u3002\u53e5\u610f:\u5982\u4eca,\u8bb8\u591a\u7236\u6bcd\u5bf9\u5b50\u5973\u9009\u62e9\u5927\u5b66\u4e13\u4e1a\u6301\u5bbd\u5bb9\u6001\u5ea6\u3002\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMary worked here as a _ secretary and ended up _ a full-time job with the company. A. admirable; getting B. temporary; getting C. previous; to get D. cautious; to get\n\u3010\u7b54\u6848\u3011\uff1aB\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "\ufffd\u7684\u5173\u7cfb\u4ee3\u8bcdthat\u9664\u4e86\u8fde\u63a5\u4e3b\u53e5\u548c\u4ece\u53e5\u4e4b\u5916,\u5728\u4ece\u53e5\u4e2d\u4f5c\u4e00\u5b9a\u6210\u5206,\u6709\u65f6\u53ef\u7701\u7565\u3002 Along with the letter was his promise that he would visit me this coming Christmas.\u968f\u4fe1\u4e00\u8d77\u6765\u7684\u662f\u4ed6\u7684\u627f\u8bfa,\u4ed6\u8bf4\u4f1a\u5728\u5373\u5c06\u5230\u6765\u7684\u5723\u8bde\u8282\u6765\u770b\u6211\u3002(\u540c\u4f4d\u8bed\u4ece\u53e5\u4e2d\u7684that\u4e0d\u505a\u4efb\u4f55\u6210\u5206) The suggestion (that) he made at the meeting was very right.\u4ed6\u5728\u4f1a\u8bae\u4e0a\u7ed9\u51fa\u7684\u5efa\u8bae\u662f\u6b63\u786e\u7684\u3002(\u6b64\u5b9a\u8bed\u4ece\u53e5\u4e2d\u7684that\u5728\u4ece\u53e5\u4e2d\u4f5c\u5bbe\u8bed,\u53ef\u4ee5\u7701\u7565) 2)\u4ece\u8bed\u4e49\u89d2\u5ea6\u6765\u770b,\u540c\u4f4d\u8bed\u4ece\u53e5that\u5f15\u5bfc\u7684\u4ece\u53e5\u5728\u53e5\u4e2d\u89e3\u91ca\u8bf4\u660e\u524d\u9762\u7684\u540d\u8bcd,\u800c\u5b9a\u8bed\u4ece\u53e5\u4e2dthat\u5f15\u5bfc\u7684\u4ece\u53e5\u5219\u662f\u8d77\u5230\u4fee\u9970\u9650\u5b9a\u5148\u884c\u8bcd\u7684\u4f5c\u7528\u3002 The news that we are having a holiday tomorrow is not true.\u660e\u5929\u653e\u5047\u7684\u6d88\u606f\u4e0d\u5b9e\u3002(that\u5f15\u5bfc\u7684\u4ece\u53e5\u8bf4\u660enews\u7684\u5185\u5bb9) He lost his money that had been saved for a long time.\u4ed6\u4e22\u4e86\u5b58\u4e86\u5f88\u4e45\u7684\u94b1\u3002(that\u5f15\u5bfc\u7684\u5b9a\u8bed\u4ece\u53e5,\u4fee\u9970\u9650\u5b9a\u5148\u884c\u8bcdmoney)\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aNowadays many parents tend to be tolerant _ their children\u2019s choices of majors at university. A. as a consequence of B. regardless of C. in regard to D. at the mercy of\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ecb\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. as a consequence of\u7ed3\u679c;B. regardless of\u4e0d\u7ba1;C. in regard to\u5173\u4e8e;D. at the mercy of\u652f\u914d\u3002\u53e5\u610f:\u5982\u4eca,\u8bb8\u591a\u7236\u6bcd\u5bf9\u5b50\u5973\u9009\u62e9\u5927\u5b66\u4e13\u4e1a\u6301\u5bbd\u5bb9\u6001\u5ea6\u3002\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMary worked here as a _ secretary and ended up _ a full-time job with the company. A. admirable; getting B. temporary; getting C. previous; to get D. cautious; to get\n\u3010\u7b54\u6848\u3011\uff1aB"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u8bfb\u201d\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHe has been sent to the place _ needs him most. A. where B. that C. what D. it\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5b9a\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u4ed6\u5df2\u7ecf\u88ab\u6d3e\u5230\u6700\u9700\u8981\u4ed6\u7684\u5730\u65b9\u4e86\u3002\u672c\u9898\u5b9a\u8bed\u4ece\u53e5\u7684\u5148\u884c\u8bcd\u662fthe place,\u5b9a\u8bed\u4ece\u53e5\u4e2d\u7f3a\u5c11\u4e3b\u8bed,\u8981\u7528\u5173\u7cfb\u4ee3\u8bcdthat\u6307\u4ee3\u5148\u884c\u8bcd,\u5f15\u5bfc\u5b9a\u8bed\u4ece\u53e5\u5e76\u5728\u53e5\u4e2d\u505a\u4e3b\u8bed\u3002CD\u9879\u4e0d\u80fd\u5f15\u5bfc\u5b9a\u8bed\u4ece\u53e5,where\u8981\u5728\u53e5\u4e2d\u505a\u72b6\u8bed\u3002\u6545B\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u672c\u9898\u8003\u67e5\u4e86\u5173\u7cfb\u4ee3\u8bcdthat\u7684\u7528\u6cd5,that\u662f\u6bd4\u8f83\u5e38\u89c1\u7684\u5173\u7cfb\u4ee3\u8bcd,\u5e76\u4e14\u6709\u7684\u65f6\u5019\u662f\u53ea\u80fd\u7528that\u3002\u63a5\u4e0b\u6765\u5c31\u770b\u770b\u65f6\u5019\u53ea\u7528that\u7684\u60c5\u51b5\u3002 1\u5f53\u5148\u884c\u8bcd\u662fanything,everything,nothing,few,all,alone,little,some\u7b49\u6307\u4eba\u6216\u7269\u7684\u4ee3\u8bcd\u65f6\u3002\u6216\u8005\u662f\u6709\u8bf8\u5982every,any,all,no,much\u7b49\u8bcd\u4fee\u9970\u65f6\u3002 There seems to be nothing that can help you. \u4f3c\u4e4e\u6ca1\u6709\u4efb\u4f55\u4e8b\u53ef\u4ee5\u5e2e\u4f60\u3002(nothing \u51fa\u73b0) B. All that can be applied in the research have been rejected. \u6240\u6709\u80fd\u88ab\u8fd0\u7528\u4e8e\u7814\u7a76\u7684\u90fd\u88ab\u5426\u51b3\u4e86\u3002(all\u7684\u51fa\u73b0) 2 \u5f53\u5148\u884c\u8bcd\u65e2\u6709\u4eba\u4e5f\u6709\u4e8b\u7269\u3002 A. The talked the people and things in the bar that they remember. \u4ed6\u4eec\u8c08\u8bba\u7740\u4ed6\u4eec\u8bb0\u8d77\u7684\u9152\u5427\u7684\u4eba\u548c\u4e8b\u3002(\u4eba\u548c\u7269\u7684\u51fa\u73b0) 3 \u6709\u5f62\u5bb9\u8bcd\u6700\u9ad8\u7ea7\u4fee\u9970\u5148\u884c\u8bcd\u65f6\u3002 This is the best hotel in the city that I know. \u8fd9\u662f\u6211\u6240\u77e5\u9053\u7684\u57ce\u5e02\u91cc\u6700\u597d\u7684\u65c5\u9986\u3002(best \u4e3a\u6700\u9ad8\u7ea7) 4.\u5e8f\u6570\u8bcd\u4fee\u9970\u5148\u884c\u8bcd\u65f6\u3002 The first time that they meet together\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "\u8bfb\u201d\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHe has been sent to the place _ needs him most. A. where B. that C. what D. it\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5b9a\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u4ed6\u5df2\u7ecf\u88ab\u6d3e\u5230\u6700\u9700\u8981\u4ed6\u7684\u5730\u65b9\u4e86\u3002\u672c\u9898\u5b9a\u8bed\u4ece\u53e5\u7684\u5148\u884c\u8bcd\u662fthe place,\u5b9a\u8bed\u4ece\u53e5\u4e2d\u7f3a\u5c11\u4e3b\u8bed,\u8981\u7528\u5173\u7cfb\u4ee3\u8bcdthat\u6307\u4ee3\u5148\u884c\u8bcd,\u5f15\u5bfc\u5b9a\u8bed\u4ece\u53e5\u5e76\u5728\u53e5\u4e2d\u505a\u4e3b\u8bed\u3002CD\u9879\u4e0d\u80fd\u5f15\u5bfc\u5b9a\u8bed\u4ece\u53e5,where\u8981\u5728\u53e5\u4e2d\u505a\u72b6\u8bed\u3002\u6545B\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u672c\u9898\u8003\u67e5\u4e86\u5173\u7cfb\u4ee3\u8bcdthat\u7684\u7528\u6cd5,that\u662f\u6bd4\u8f83\u5e38\u89c1\u7684\u5173\u7cfb\u4ee3\u8bcd,\u5e76\u4e14\u6709\u7684\u65f6\u5019\u662f\u53ea\u80fd\u7528that\u3002\u63a5\u4e0b\u6765\u5c31\u770b\u770b\u65f6\u5019\u53ea\u7528that\u7684\u60c5\u51b5\u3002 1\u5f53\u5148\u884c\u8bcd\u662fanything,everything,nothing,few,all,alone,little,some\u7b49\u6307\u4eba\u6216\u7269\u7684\u4ee3\u8bcd\u65f6\u3002\u6216\u8005\u662f\u6709\u8bf8\u5982every,any,all,no,much\u7b49\u8bcd\u4fee\u9970\u65f6\u3002 There seems to be nothing that can help you. \u4f3c\u4e4e\u6ca1\u6709\u4efb\u4f55\u4e8b\u53ef\u4ee5\u5e2e\u4f60\u3002(nothing \u51fa\u73b0) B. All that can be applied in the research have been rejected. \u6240\u6709\u80fd\u88ab\u8fd0\u7528\u4e8e\u7814\u7a76\u7684\u90fd\u88ab\u5426\u51b3\u4e86\u3002(all\u7684\u51fa\u73b0) 2 \u5f53\u5148\u884c\u8bcd\u65e2\u6709\u4eba\u4e5f\u6709\u4e8b\u7269\u3002 A. The talked the people and things in the bar that they remember. \u4ed6\u4eec\u8c08\u8bba\u7740\u4ed6\u4eec\u8bb0\u8d77\u7684\u9152\u5427\u7684\u4eba\u548c\u4e8b\u3002(\u4eba\u548c\u7269\u7684\u51fa\u73b0) 3 \u6709\u5f62\u5bb9\u8bcd\u6700\u9ad8\u7ea7\u4fee\u9970\u5148\u884c\u8bcd\u65f6\u3002 This is the best hotel in the city that I know. \u8fd9\u662f\u6211\u6240\u77e5\u9053\u7684\u57ce\u5e02\u91cc\u6700\u597d\u7684\u65c5\u9986\u3002(best \u4e3a\u6700\u9ad8\u7ea7) 4.\u5e8f\u6570\u8bcd\u4fee\u9970\u5148\u884c\u8bcd\u65f6\u3002 The first time that they meet together"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u3010\u9898\u5e72\u3011\uff1a-Madam, if you like I can give you a lift to the downtown area. - That\u2019s a very kind _. A. service B. offer C. promise D. choice\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u540d\u8bcd\u8fa8\u6790\u3002A. service\u670d\u52a1; B. offer\u63d0\u8bae; C. promise\u8bb8\u8bfa; D. choice\u9009\u62e9\u3002\u53e5\u610f:\u2014\u592b\u4eba,\u5982\u679c\u60a8\u613f\u610f,\u6211\u53ef\u4ee5\u8f7d\u60a8\u5230\u5e02\u4e2d\u5fc3\u3002\u2014\u8fd9\u662f\u4e00\u4e2a\u975e\u5e38\u597d\u7684\u63d0\u8bae\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u7b54\u6848\u4e3aB\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a- Have you ever been to Provence which is home to lavender(\u85b0\u8863\u8349) in Paris? - Yes, only once. I _ there for a week. A. had stayed B. were staying C. have stayed D. stayed\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u65f6\u6001\u3002\u53e5\u610f:\u2014\u4f60\u53bb\u8fc7\u5df4\u9ece\u85b0\u8863\u8349\u7684\u6545\u4e61\u666e\u7f57\u65fa\u65af\u5417?\u2014\u662f\u7684,\u53ea\u6709\u4e00\u6b21\u3002\u6211\u5728\u90a3\u91cc\u5446\u4e86\u4e00\u4e2a\u661f\u671f\u3002\u6b64\u5904\u662f\u6307\u8fc7\u53bb\u53d1\u751f\u7684\u4e00\u4ef6\u4e8b,\u4e0e\u73b0\u5728\u65e0\u5173,\u6240\u4ee5\u7528\u4e00\u822c\u8fc7\u53bb\u65f6\u6001,\u6545\u7b54\u6848\u4e3aD\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aDue to the frequent school shootings, the only way the president could imagine _ such tragedies was to ban guns across the US. A. preventing B. prevented C. to prevent D. having prevented\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u4e0d\u5b9a\u5f0f\u4f5c\u540e\u7f6e\u5b9a\u8bed\u3002\u53e5\u610f:\u7531\u4e8e\u6821\u56ed\u67aa\u51fb\u6848\u9891\u53d1,\u603b\u7edf\u80fd\u60f3\u5230\u7684\u9632\u6b62\u6b64\u7c7b\u60b2\u5267\u53d1\u751f\u7684\u552f\u4e00\u529e\u6cd5\u5c31\u662f\u5728\u5168\u7f8e\u8303\u56f4\u5185\u7981\u6b62\u67aa\u652f\u3002\u6b64\u5904\u662f\u52a8\u8bcd\u4e0d\u5b9a\u5f0f\u4f5c\u540e\u7f6e\u5b9a\u8bed,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMy computer _ start this morning. There must have been something wrong with it. A. wouldn\u2019t B. shouldn\u2019t C. couldn\u2019t D.\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "\u3010\u9898\u5e72\u3011\uff1a-Madam, if you like I can give you a lift to the downtown area. - That\u2019s a very kind _. A. service B. offer C. promise D. choice\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u540d\u8bcd\u8fa8\u6790\u3002A. service\u670d\u52a1; B. offer\u63d0\u8bae; C. promise\u8bb8\u8bfa; D. choice\u9009\u62e9\u3002\u53e5\u610f:\u2014\u592b\u4eba,\u5982\u679c\u60a8\u613f\u610f,\u6211\u53ef\u4ee5\u8f7d\u60a8\u5230\u5e02\u4e2d\u5fc3\u3002\u2014\u8fd9\u662f\u4e00\u4e2a\u975e\u5e38\u597d\u7684\u63d0\u8bae\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u7b54\u6848\u4e3aB\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a- Have you ever been to Provence which is home to lavender(\u85b0\u8863\u8349) in Paris? - Yes, only once. I _ there for a week. A. had stayed B. were staying C. have stayed D. stayed\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u65f6\u6001\u3002\u53e5\u610f:\u2014\u4f60\u53bb\u8fc7\u5df4\u9ece\u85b0\u8863\u8349\u7684\u6545\u4e61\u666e\u7f57\u65fa\u65af\u5417?\u2014\u662f\u7684,\u53ea\u6709\u4e00\u6b21\u3002\u6211\u5728\u90a3\u91cc\u5446\u4e86\u4e00\u4e2a\u661f\u671f\u3002\u6b64\u5904\u662f\u6307\u8fc7\u53bb\u53d1\u751f\u7684\u4e00\u4ef6\u4e8b,\u4e0e\u73b0\u5728\u65e0\u5173,\u6240\u4ee5\u7528\u4e00\u822c\u8fc7\u53bb\u65f6\u6001,\u6545\u7b54\u6848\u4e3aD\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aDue to the frequent school shootings, the only way the president could imagine _ such tragedies was to ban guns across the US. A. preventing B. prevented C. to prevent D. having prevented\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u4e0d\u5b9a\u5f0f\u4f5c\u540e\u7f6e\u5b9a\u8bed\u3002\u53e5\u610f:\u7531\u4e8e\u6821\u56ed\u67aa\u51fb\u6848\u9891\u53d1,\u603b\u7edf\u80fd\u60f3\u5230\u7684\u9632\u6b62\u6b64\u7c7b\u60b2\u5267\u53d1\u751f\u7684\u552f\u4e00\u529e\u6cd5\u5c31\u662f\u5728\u5168\u7f8e\u8303\u56f4\u5185\u7981\u6b62\u67aa\u652f\u3002\u6b64\u5904\u662f\u52a8\u8bcd\u4e0d\u5b9a\u5f0f\u4f5c\u540e\u7f6e\u5b9a\u8bed,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMy computer _ start this morning. There must have been something wrong with it. A. wouldn\u2019t B. shouldn\u2019t C. couldn\u2019t D."}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: sicker\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u6bd4\u8f83\u7ea7\u3002\u53e5\u610f:\u6628\u5929\u5979\u7684\u75c5\u53d8\u5f97\u8d8a\u6765\u8d8a\u4e25\u91cd\u4e86,\u6211\u4eec\u522b\u65e0\u9009\u62e9\u53ea\u80fd\u9001\u5979\u53bb\u4e86\u6700\u8fd1\u7684\u533b\u9662\u3002sicker\u672c\u8eab\u662f\u6bd4\u8f83\u7ea7\u5f62\u5f0f,\u5176\u524d\u4e0d\u53ef\u518d\u52a0more\u6216less,\u6392\u9664C\u3001D\u4e24\u9879;\u8868\u793a\u7a0b\u5ea6\u4e0d\u65ad\u52a0\u6df1\u8981\u7528\"\u6bd4\u8f83\u7ea7+and+\u6bd4\u8f83\u7ea7\"\u7ed3\u6784,\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aAs a great scientist, little joy can equal_ of being awarded the Nobel Prize. A. that B. this C. it D. one\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ee3\u8bcd\u3002\u53e5\u610f:\u4f5c\u4e3a\u4e00\u4e2a\u4f1f\u5927\u7684\u79d1\u5b66\u5bb6,\u4efb\u4f55\u559c\u60a6\u90fd\u8d76\u4e0d\u4e0a\u83b7\u5f97\u8bfa\u8d1d\u5c14\u5956\u3002\u7a7a\u5904\u6307\u4ee3\"\u83b7\u5f97\u8bfa\u8d1d\u5c14\u5956\u7684\u559c\u60a6\",\u4e0e\u524d\u9762\u7684\"joy\"\u76f8\u6bd4\u662f\u540c\u7c7b\u4e0d\u540c\u7269,\u5e94\u4f7f\u7528that\u4ee3\u66ff\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aFor Lucy, the most necessary thing is to find a suitable job, _ in which she can earn her living and fulfill her potential. A. that B. it C. the one D. one\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u66ff\u4ee3\u3002\u53e5\u610f:\u5bf9Lucy\u6765\u8bf4,\u5f53\u52a1\u4e4b\u6025\u662f\u627e\u5230\u4e00\u4efd\u5408\u9002\u7684\u5de5\u4f5c,\u4e00\u4efd\u80fd\u591f\u8ba9\u5979\u8c0b\u751f\u5e76\u53d1\u6325\u6f5c\u529b\u7684\u5de5\u4f5c\u3002\u8fd9\u91ccone\u6307\u4ee3a suitable job,\u5728\u53e5\u4e2d\u4f5ca suitable job\u7684\u540c\u4f4d\u8bed\u3002\u6545\u7b54\u6848\u4e3aD\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWe find _easy to get along with our new teachers here. A. that B. it C. this D. \u4e0d\u586b\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ee3\u8bcdit\u7684\u7528\u6cd5\u3002\u53e5\u610f:\u6211\u4eec\u53d1\u73b0\u4e0e\u6211\u4eec\u8fd9\u91cc\u7684\u65b0\u8001\u5e08\u76f8\u5904\u5f88\u5bb9\u6613\u3002\u6b64\u5904\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "sicker\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u6bd4\u8f83\u7ea7\u3002\u53e5\u610f:\u6628\u5929\u5979\u7684\u75c5\u53d8\u5f97\u8d8a\u6765\u8d8a\u4e25\u91cd\u4e86,\u6211\u4eec\u522b\u65e0\u9009\u62e9\u53ea\u80fd\u9001\u5979\u53bb\u4e86\u6700\u8fd1\u7684\u533b\u9662\u3002sicker\u672c\u8eab\u662f\u6bd4\u8f83\u7ea7\u5f62\u5f0f,\u5176\u524d\u4e0d\u53ef\u518d\u52a0more\u6216less,\u6392\u9664C\u3001D\u4e24\u9879;\u8868\u793a\u7a0b\u5ea6\u4e0d\u65ad\u52a0\u6df1\u8981\u7528\"\u6bd4\u8f83\u7ea7+and+\u6bd4\u8f83\u7ea7\"\u7ed3\u6784,\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aAs a great scientist, little joy can equal_ of being awarded the Nobel Prize. A. that B. this C. it D. one\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ee3\u8bcd\u3002\u53e5\u610f:\u4f5c\u4e3a\u4e00\u4e2a\u4f1f\u5927\u7684\u79d1\u5b66\u5bb6,\u4efb\u4f55\u559c\u60a6\u90fd\u8d76\u4e0d\u4e0a\u83b7\u5f97\u8bfa\u8d1d\u5c14\u5956\u3002\u7a7a\u5904\u6307\u4ee3\"\u83b7\u5f97\u8bfa\u8d1d\u5c14\u5956\u7684\u559c\u60a6\",\u4e0e\u524d\u9762\u7684\"joy\"\u76f8\u6bd4\u662f\u540c\u7c7b\u4e0d\u540c\u7269,\u5e94\u4f7f\u7528that\u4ee3\u66ff\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aFor Lucy, the most necessary thing is to find a suitable job, _ in which she can earn her living and fulfill her potential. A. that B. it C. the one D. one\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u66ff\u4ee3\u3002\u53e5\u610f:\u5bf9Lucy\u6765\u8bf4,\u5f53\u52a1\u4e4b\u6025\u662f\u627e\u5230\u4e00\u4efd\u5408\u9002\u7684\u5de5\u4f5c,\u4e00\u4efd\u80fd\u591f\u8ba9\u5979\u8c0b\u751f\u5e76\u53d1\u6325\u6f5c\u529b\u7684\u5de5\u4f5c\u3002\u8fd9\u91ccone\u6307\u4ee3a suitable job,\u5728\u53e5\u4e2d\u4f5ca suitable job\u7684\u540c\u4f4d\u8bed\u3002\u6545\u7b54\u6848\u4e3aD\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWe find _easy to get along with our new teachers here. A. that B. it C. this D. \u4e0d\u586b\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ee3\u8bcdit\u7684\u7528\u6cd5\u3002\u53e5\u610f:\u6211\u4eec\u53d1\u73b0\u4e0e\u6211\u4eec\u8fd9\u91cc\u7684\u65b0\u8001\u5e08\u76f8\u5904\u5f88\u5bb9\u6613\u3002\u6b64\u5904"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffd\u62df\u8bed\u6c14\u3002\u53e5\u610f:\u6211\u591a\u4e48\u5e0c\u671b\u6211\u6ca1\u6709\u53bb\u4fee\u7406\u90a3\u5757\u8868!\u6211\u53ea\u8ba9\u4e8b\u60c5\u53d8\u5f97\u66f4\u7cdf\u4e86\u3002\u52a8\u8bcdwish\u540e\u63a5\u5bbe\u8bed\u4ece\u53e5\u65f6,\u4ece\u53e5\u8c13\u8bed\u8981\u7528\u865a\u62df\u8bed\u6c14\u82e5\u8868\u793a\u4e0e\u8fc7\u53bb\u76f8\u53cd\u7684\u613f\u671b,\u4ece\u53e5\u8c13\u8bed\u7528\u8fc7\u53bb\u5b8c\u6210\u65f6\u3002\u6839\u636e\u53e5\u610f\u4ee5\u53ca\u201cmade\u201d\u53ef\u77e5,B\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011wish\u540e\u5bbe\u8bed\u4ece\u53e5\u7528\u865a\u62df\u8bed\u6c14 \u52a8\u8bcdwish\u540e\u63a5\u5bbe\u8bed\u4ece\u53e5\u65f6,\u4ece\u53e5\u8c13\u8bed\u8981\u7528\u865a\u62df\u8bed\u6c14\u30021.\u82e5\u8981\u8868\u793a\u4e0e\u73b0\u5728\u4e8b\u5b9e\u76f8\u53cd\u7684\u613f\u671b,\u4ece\u53e5\u8c13\u8bed\u7528\u4e00\u822c\u8fc7\u53bb\u65f6;2.\u82e5\u8868\u793a\u4e0e\u8fc7\u53bb\u76f8\u53cd\u7684\u613f\u671b,\u4ece\u53e5\u8c13\u8bed\u7528\u8fc7\u53bb\u5b8c\u6210\u65f6;3.\u82e5\u8868\u793a\u5c06\u6765\u6ca1\u6709\u628a\u63e1\u6216\u4e0d\u592a\u53ef\u80fd\u5b9e\u73b0\u7684\u613f\u671b,\u7528would (could)+\u52a8\u8bcd\u539f\u5f62\u3002\u672c\u53e5\u7b26\u5408\u7b2c2\u70b9\u7528\u6cd5,\u6545B\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIn recent years, in many Western countries, in the USA and the UK, Halloween has become a special occasion. A. in general B. in brief C. in short D. in particular\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ecb\u8bcd\u77ed\u8bed\u8fa8\u6790\u3002A. in general\u610f\u4e3a\"\u603b\u7684\u8bf4\u6765,\u901a\u5e38\";B. in brief\u610f\u4e3a\"\u7b80\u8a00\u4e4b\";C. in short\u610f\u4e3a\"\u603b\u4e4b,\u7b80\u800c\u8a00\u4e4b\";D. in particular\u610f\u4e3a\"\u5c24\u5176,\u7279\u522b\"\u3002\u53e5\u610f:\u8fd1\u5e74\u6765,\u5728\u8bb8\u591a\u897f\u65b9\u56fd\u5bb6,\u5c24\u5176\u662f\u5728\u7f8e\u56fd\u548c\u82f1\u56fd,\u4e07\u5723\u8282\u524d\u5915\u5df2\u7ecf\u6210\u4e3a\u4e00\u79cd\u7279\u6b8a\u7684\u573a\u5408\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWhen faced with challenges, firmly believe that holding on to your dreams and doubling your efforts will _ lead to success. A. deliberately B. eventually C. automatically D.\n######################\nOutput:"}}
+{"type": "error", "data": "Entity Extraction Error", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 123, in __call__\n    result = await self._process_document(text, prompt_variables)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/index/graph/extractors/graph/graph_extractor.py\", line 151, in _process_document\n    response = await self._llm(\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/json_parsing_llm.py\", line 34, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_token_replacing_llm.py\", line 37, in __call__\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_history_tracking_llm.py\", line 33, in __call__\n    output = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/caching_llm.py\", line 104, in __call__\n    result = await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 177, in __call__\n    result, start = await execute_with_retry()\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 159, in execute_with_retry\n    async for attempt in retryer:\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 166, in __anext__\n    do = await self.iter(retry_state=self._retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/asyncio/__init__.py\", line 153, in iter\n    result = await action(retry_state)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/_utils.py\", line 99, in inner\n    return call(*args, **kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 418, in exc_check\n    raise retry_exc.reraise()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/tenacity/__init__.py\", line 185, in reraise\n    raise self.last_attempt.result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 451, in result\n    return self.__get_result()\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/concurrent/futures/_base.py\", line 403, in __get_result\n    raise self._exception\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 165, in execute_with_retry\n    return await do_attempt(), start\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/rate_limiting_llm.py\", line 147, in do_attempt\n    return await self._delegate(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 49, in __call__\n    return await self._invoke(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"doc_index": 0, "text": "\ufffd\u62df\u8bed\u6c14\u3002\u53e5\u610f:\u6211\u591a\u4e48\u5e0c\u671b\u6211\u6ca1\u6709\u53bb\u4fee\u7406\u90a3\u5757\u8868!\u6211\u53ea\u8ba9\u4e8b\u60c5\u53d8\u5f97\u66f4\u7cdf\u4e86\u3002\u52a8\u8bcdwish\u540e\u63a5\u5bbe\u8bed\u4ece\u53e5\u65f6,\u4ece\u53e5\u8c13\u8bed\u8981\u7528\u865a\u62df\u8bed\u6c14\u82e5\u8868\u793a\u4e0e\u8fc7\u53bb\u76f8\u53cd\u7684\u613f\u671b,\u4ece\u53e5\u8c13\u8bed\u7528\u8fc7\u53bb\u5b8c\u6210\u65f6\u3002\u6839\u636e\u53e5\u610f\u4ee5\u53ca\u201cmade\u201d\u53ef\u77e5,B\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011wish\u540e\u5bbe\u8bed\u4ece\u53e5\u7528\u865a\u62df\u8bed\u6c14 \u52a8\u8bcdwish\u540e\u63a5\u5bbe\u8bed\u4ece\u53e5\u65f6,\u4ece\u53e5\u8c13\u8bed\u8981\u7528\u865a\u62df\u8bed\u6c14\u30021.\u82e5\u8981\u8868\u793a\u4e0e\u73b0\u5728\u4e8b\u5b9e\u76f8\u53cd\u7684\u613f\u671b,\u4ece\u53e5\u8c13\u8bed\u7528\u4e00\u822c\u8fc7\u53bb\u65f6;2.\u82e5\u8868\u793a\u4e0e\u8fc7\u53bb\u76f8\u53cd\u7684\u613f\u671b,\u4ece\u53e5\u8c13\u8bed\u7528\u8fc7\u53bb\u5b8c\u6210\u65f6;3.\u82e5\u8868\u793a\u5c06\u6765\u6ca1\u6709\u628a\u63e1\u6216\u4e0d\u592a\u53ef\u80fd\u5b9e\u73b0\u7684\u613f\u671b,\u7528would (could)+\u52a8\u8bcd\u539f\u5f62\u3002\u672c\u53e5\u7b26\u5408\u7b2c2\u70b9\u7528\u6cd5,\u6545B\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIn recent years, in many Western countries, in the USA and the UK, Halloween has become a special occasion. A. in general B. in brief C. in short D. in particular\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ecb\u8bcd\u77ed\u8bed\u8fa8\u6790\u3002A. in general\u610f\u4e3a\"\u603b\u7684\u8bf4\u6765,\u901a\u5e38\";B. in brief\u610f\u4e3a\"\u7b80\u8a00\u4e4b\";C. in short\u610f\u4e3a\"\u603b\u4e4b,\u7b80\u800c\u8a00\u4e4b\";D. in particular\u610f\u4e3a\"\u5c24\u5176,\u7279\u522b\"\u3002\u53e5\u610f:\u8fd1\u5e74\u6765,\u5728\u8bb8\u591a\u897f\u65b9\u56fd\u5bb6,\u5c24\u5176\u662f\u5728\u7f8e\u56fd\u548c\u82f1\u56fd,\u4e07\u5723\u8282\u524d\u5915\u5df2\u7ecf\u6210\u4e3a\u4e00\u79cd\u7279\u6b8a\u7684\u573a\u5408\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWhen faced with challenges, firmly believe that holding on to your dreams and doubling your efforts will _ lead to success. A. deliberately B. eventually C. automatically D."}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: hidden D. having hidden\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u975e\u8c13\u8bed\u52a8\u8bcd\u3002\u53e5\u610f:\u85cf\u5728\u4e24\u4e2a\u5927\u4e00\u70b9\u7684\u5bbe\u9986\u4e4b\u95f4\u7684\u8fd9\u5bb6\u5bbe\u9986\u5f88\u5bb9\u6613\u88ab\u5ffd\u89c6,\u4f46\u5b83\u503c\u5f97\u9009\u62e9\u3002\u52a8\u8bcd\u77ed\u8bedhide between two much larger hotels\u4e0e\u4e3b\u8bedthe hotel\u4e4b\u95f4\u6784\u6210\u4e3b\u52a8\u5173\u7cfb,\u8981\u7528\u73b0\u5728\u5206\u8bcd\u77ed\u8bed\u5145\u5f53\u5b9a\u8bed\u4fee\u9970the hotel,\u76f8\u5f53\u4e8e\u5b9a\u8bed\u4ece\u53e5which hides between two much larger hotels\u3002B\u9879\u8868\u793a\u672a\u6765\u7684\u4e8b\u60c5,C\u9879\u8868\u793a\u88ab\u52a8,D\u9879\u8868\u793a\u5df2\u7ecf\u5b8c\u6210\u7684\u4e8b\u60c5\u3002\u6545A\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMs Rogers will _ her ideas to the Board at next week\u2019s meeting, so that they will have a further discussion. A. accomplish B. present C. confront D. expose\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002A. accomplish\u5b8c\u6210,\u5b9e\u73b0;B. present\u5448\u73b0,\u53d1\u8868;\u63d0\u51fa;\u8d60\u9001;\u8868\u8fbe;C. confront\u5bf9\u6297;\u906d\u9047;\u9762\u4e34;D. expose\u63ed\u9732;\u66dd\u5149;\u4f7f\u2026\u2026\u63a5\u89e6;\u53e5\u610f:\u5728\u4e0b\u5468\u7684\u4f1a\u8bae\u4e0aMs Rogers\u5c06\u4f1a\u53d1\u8868\u5979\u7684\u89c2\u70b9,\u4ee5\u4fbf\u4e8e\u4ed6\u4eec\u8fdb\u884c\u66f4\u8fdb\u4e00\u6b65\u7684\u8ba8\u8bba\u3002\u6839\u636e\u53e5\u610f\u53ef\u77e5present\u8868\u793a\u201c\u5448\u73b0\u201d\u7b26\u5408\u4e0a\u4e0b\u6587\u8bed\u5883,\u6545\u9009\u62e9B\u9879\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI often wonder if it is mistrust _ causes misunderstanding and conflict between people. A. which B. when C. why D. that\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f3a\u8c03\u53e5\u578b\u3002\u53e5\u610f:\u6211\u7ecf\u5e38\u60f3\u662f\u4e0d\u662f\u4e0d\u4fe1\u4efb\u5bfc\u81f4\u4e86\u4eba\u4eec\u4e4b\u95f4\u7684\u8bef\u89e3\u548c\u51b2\u7a81\u3002\u672c\u53e5\u8003\u67e5\u4e86\u5f3a\u8c03\u53e5\u578b:It is/was+\u88ab\u5f3a\u8c03\u6210\u5206+that/who+ \u5176\u4ed6\u6210\u5206;\u5f53\u88ab\u5f3a\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u4f5c\u6b63\u5728\u8fdb\u884c\u7684\u540c\u65f6,\u53e6\u4e00\u52a8\u4f5c\u4e5f\u5728\u8fdb\u884c\u4e4b\u4e2d,\u8fd9\u65f6\u4e3b\u4ece\u53e5\u90fd\u7528\u8fdb\u884c\u65f6\u6001,\u6709\u5bf9\u540c\u7c7b\u7684\u4e24\u4e2a\u52a8\u4f5c\u8fdb\u884c\u5bf9\u6bd4\u7684\u610f\u5473.\u5982: While I was playing the piano, she was dancing.\u6211\u5728\u5f39\u94a2\u7434,\u5979\u5728\u8df3\u821e. 2.\u8868\u793a\u67d0\u4e2a\u52a8\u4f5c\u6b63\u5728\u8fdb\u884c\u65f6,\u53c8\u53d1\u751f\u4e86\u53e6\u4e00\u52a8\u4f5c(\u8be5\u52a8\u4f5c\u7528\u4e00\u822c\u8fc7\u53bb\u65f6).\u5982: While we were swimming in the river, we saw a fish jump out of the water. \u6211\u4eec\u6b63\u5728\u6cb3\u4e2d\u6e38\u6cf3\u65f6,\u770b\u89c1\u4e00\u6761\u9c7c\u8dc3\u51fa\u4e86\u6c34\u9762. \u4e09\u3001while\u8fd8\u6709\u4ee5\u4e0b\u51e0\u79cd\u5e38\u89c1\u7528\u6cd5: 1.\u53ea\u8981(=as long as) There will be life while there is water and air.\u53ea\u8981\u6709\u7a7a\u6c14\u548c\u6c34,\u5c31\u4f1a\u6709\u751f\u547d. 2.\u800c;\u7136\u800c\u3014\u8868\u793a\u5bf9\u6bd4\u3015 He is a driver while I'm a teacher.\u4ed6\u662f\u53f8\u673a,\u800c\u6211\u662f\u8001\u5e08. 3.\u867d\u7136(=although);\u5c3d\u7ba1\u3014\u8868\u793a\u8ba9\u6b65\u3015 While I see what you say, I can't agree with you.\u867d\u7136\u6211\u80fd\u7406\u89e3\u4f60\u8bf4\u7684\u8bdd,\u4f46\u662f\u6211\u4e0d\u80fd\u540c\u610f\u4f60. 4.\u7528\u4f5c\u540d\u8bcd,\u8868\u793a\u201c\u4e00\u4f1a\u513f\u6216\u4e00\u6bb5\u65f6\u95f4\u201d,\u5e38\u4e0ea, the\u6216this\u7b49\u8fde\u7528.\u5982: Just wait a while and then I will help you.\u7b49\u4e00\u4e0b,\u6211\u4f1a\u6765\u5e2e\u4f60\u7684. \u56db\u3001while\u6240\u5f15\u5bfc\u7684\u65f6\u95f4\u72b6\u8bed\u4ece\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u53ea\u80fd\u662f\u5ef6\u7eed\u6027\u52a8\u8bcd\u3002 \u4f8b\u5982:I met with an old friend of mine while (when) I was walking along the street.\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe hotel, _ between two much larger hotels, is easy to overlook but worth choosing. A. hiding B. to hide C. hidden D. having hidden\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u975e\u8c13\u8bed\u52a8\u8bcd\u3002\u53e5\u610f:\u85cf\u5728\u4e24\u4e2a\u5927\u4e00\u70b9\u7684\u5bbe\u9986\u4e4b\u95f4\u7684\u8fd9\u5bb6\u5bbe\u9986\u5f88\u5bb9\u6613\u88ab\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u524d\u5915\u5df2\u7ecf\u6210\u4e3a\u4e00\u79cd\u7279\u6b8a\u7684\u573a\u5408\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWhen faced with challenges, firmly believe that holding on to your dreams and doubling your efforts will _ lead to success. A. deliberately B. eventually C. automatically D. appropriately\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u672c\u9898\u8003\u67e5\u526f\u8bcd\u8fa8\u6790\u3002\u89e3\u9898\u6b65\u9aa4:1. \u786e\u5b9a\u5404\u9009\u9879\u610f\u601d:A. deliberately\u6545\u610f\u5730;B. eventually\u6700\u7ec8\u5730;C. automatically\u81ea\u52a8\u5730;D. appropriately\u9002\u5f53\u5730\u30022. \u786e\u5b9a\u7b54\u6848:lead to success\u662f\u6700\u7ec8\u7684\u7ed3\u679c,\u6545\u9009B\u3002\u53e5\u610f:\u5f53\u9762\u4e34\u6311\u6218\u7684\u65f6\u5019,\u575a\u4fe1\u575a\u6301\u81ea\u5df1\u7684\u68a6\u60f3,\u5e76\u52a0\u500d\u52aa\u529b,\u6700\u7ec8\u4f1a\u53d6\u5f97\u6210\u529f\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIt seems that _ the road is a single track we still need to install traffic lights. A. if B. unless C. although D. because\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8ba9\u6b65\u72b6\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u770b\u6765,\u5c3d\u7ba1\u8fd9\u6761\u8def\u662f\u4e00\u6761\u5355\u5411\u5c0f\u9053,\u6211\u4eec\u4ecd\u65e7\u9700\u8981\u5b89\u88c5\u4ea4\u901a\u4fe1\u53f7\u706f\u3002A. if\u5982\u679c;B. unless\u9664\u975e;C. although\u5c3d\u7ba1;D. because\u56e0\u4e3a\u3002\u524d\u540e\u662f\u8ba9\u6b65\u5173\u7cfb,\u6545\u9009C\u9879although\u6765\u5f15\u5bfc\u8ba9\u6b65\u72b6\u8bed\u4ece\u53e5\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aSo long as you do what you can, no one will blame you _ you might fail in the future. A. as though B. in case C. now that D. even if\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8ba9\u6b65\u72b6\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u53ea\u8981\u4f60\u5c3d\u529b\u800c\u4e3a,\u5373\u4f7f\u5c06\u6765\u53ef\u80fd\u5931\u8d25\u4e5f\u4e0d\u4f1a\u6709\u4eba\u6307\u8d23\u4f60\u3002A. as though\u4eff\u4f5b;B. in case\u4e07\u4e00;C. now that\u65e2\u7136;D. even if\u5373\u4f7f\u3002\u524d\u540e\u662f\u8ba9\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u4e2d\u8fd8\u7701\u7565\u4e86should\u3002\u6545D\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMy son, Ben, had got in touch, he\u2019d moved to England with his mum when he was three and it had been 13 years since I\u2019d last seen him. So imagine my _ when he emailed me saying he wanted to come to visit me. A. delight B. relief C. anger D. worry\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u6211\u7684\u513f\u5b50\u672c\u548c\u6211\u53d6\u5f97\u4e86\u8054\u7cfb,\u4ed6\u4e09\u5c81\u7684\u65f6\u5019\u548c\u4ed6\u5988\u5988\u4e00\u8d77\u642c\u5230\u4e86\u82f1\u56fd,\u6211\u5df2\u7ecf\u670913\u5e74\u6ca1\u89c1\u8fc7\u4ed6\u4e86\u3002\u60f3\u8c61\u4e00\u4e0b,\u5f53\u4ed6\u7ed9\u6211\u53d1\u90ae\u4ef6\u8bf4\u4ed6\u60f3\u6765\u770b\u6211\u65f6,\u6211\u662f\u591a\u4e48\u9ad8\u5174\u3002\u6839\u636e\u4e0a\u4e0b\u6587\u53ef\u77e5,13\u5e74\u6ca1\u6709\u89c1\u5230\u81ea\u5df1\u7684\u513f\u5b50,\u7a81\u7136\u6536\u5230\u513f\u5b50\u7684\u7535\u5b50\u90ae\u4ef6,\u5e76\u4e14\u8bf4\u8981\u6765\u770b\u81ea\u5df1\u3002\u7531\u6b64\u53ef\u4ee5\u63a8\u77e5,\u6211\u5f88\u5feb\u4e50\u3001\u5f00\u5fc3\u3002A. delight\u9ad8\u5174,\u6109\u5feb;B. relief (\u75db\u82e6\u3001\u5fe7\u8651\u7b49\u7684)\u89e3\u9664,\u51cf\u8f7b;C. anger\u6012,\u5fff\u6012;D. worry\u62c5\u5fc3\u3002\u6545\u9009A\u9879\u5207\u9898\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWhen we were young, we were brought up by our parents to _ the table manners both at home and in public. A. determine B. observe C. announce D. control\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u6211\u4eec\u8fd8\u5e74\u5e7c\u7684\u65f6\u5019,\u7236\u6bcd\u6559\u80b2\u6211\u4eec\u4e0d\u7ba1\u662f\u5728\u5bb6\u8fd8\u662f\u5728\u516c\u5171\u573a\u5408\u90fd\u8981\u9075\u5b88\u9910\u684c\u793c\u4eea\u3002A. determine\u51b3\u5b9a,\u51b3\u5fc3;B. observe\u9075\u5b88;C. announce\u901a\u77e5,\u5ba3\u5e03;D. control\u63a7\u5236\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5,\u6b64\u5904\u6307\u201c\u9075\u5b88\u201d\u9910\u684c\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffd\u793c\u4eea\u3002A. determine\u51b3\u5b9a,\u51b3\u5fc3;B. observe\u9075\u5b88;C. announce\u901a\u77e5,\u5ba3\u5e03;D. control\u63a7\u5236\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5,\u6b64\u5904\u6307\u201c\u9075\u5b88\u201d\u9910\u684c\u793c\u4eea,\u6545B\u9879\u5207\u9898\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIt is required that all traffic participants should _ the traffic rules to make traffic safer and faster. A. perform B. observe C. support D. possess\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u8981\u6c42\u6240\u6709\u4ea4\u901a\u53c2\u4e0e\u8005\u90fd\u8981\u9075\u5b88\u4ea4\u901a\u89c4\u5219,\u4f7f\u4ea4\u901a\u66f4\u5b89\u5168\u3001\u66f4\u5feb\u6377\u3002A. perform\u5c65\u884c,\u8868\u6f14;B. observe\u9075\u5b88,\u5e86\u795d,\u89c2\u5bdf;C. support\u652f\u6301,\u652f\u6491;D. possess\u62e5\u6709\u3002\u6b64\u5904\u8868\u793a\u201c\u9075\u5b88\u201d\u4ea4\u901a\u89c4\u5219,\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWhether to favor urban development or the preservation of historical sites is especially controversial in China, where there exists rich history, diversified tradition and cultural _. A. surplus B. deposits C. accounts D. receipts\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u5728\u6709\u7740\u4e30\u5bcc\u5386\u53f2\u3001\u591a\u5143\u4f20\u7edf\u548c\u6587\u5316\u5e95\u8574\u7684\u4e2d\u56fd,\u7a76\u7adf\u662f\u652f\u6301\u57ce\u5e02\u53d1\u5c55,\u8fd8\u662f\u4fdd\u62a4\u5386\u53f2\u53e4\u8ff9,\u5c24\u5176\u5b58\u5728\u4e89\u8bae\u3002A. surplus\u5269\u4f59;B. deposits\u5e95\u8574;C. accounts\u8d26\u76ee;D. receipts\u8fdb\u6b3e,\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aDue to the reform and opening\u00adup, our living conditions, undoubtedly, have improved _ over the past decades. A. considerately B. approximately C. appropriately D. considerably\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u526f\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u7531\u4e8e\u6539\u9769\u5f00\u653e,\u6211\u4eec\u7684\u751f\u6d3b\u6761\u4ef6,\u6beb\u65e0\u7591\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffd\u610f:\u2014\u2014\u8fd9\u662f\u4f60\u7b2c\u4e00\u6b21\u5230\u5317\u4eac\u5417?\u2014\u2014\u4e0d,\u4f46\u662f\u4ece\u6211\u4e0a\u4e00\u6b21\u5230\u8fd9\u91cc\u6765,\u5df2\u7ecf\u6709\u4e09\u5e74\u4e86\u3002This is the first time that\u2026\u662f\u56fa\u5b9a\u53e5\u578b,that\u4ece\u53e5\u4e2d\u7528\u73b0\u5728\u5b8c\u6210\u65f6,\u6392\u9664A\u548cB,\u9898\u5e72\u4e2d\u8868\u793a\u201c\u4e0a\u4e00\u6b21\u5230\u5317\u4eac\u201d,\u662f\u53d1\u751f\u5728\u8fc7\u53bb\u7684\u4e8b\u60c5,\u7528\u4e00\u822c\u8fc7\u53bb\u65f6,\u6240\u4ee5\u6392\u9664D,\u6545\u9009C\u3002\u3010\u70b9\u775b\u3011\u7279\u6b8a\u53e5\u5f0f:It is the first time that \u2026\u5f53\u524d\u9762\u662fis\u7684\u65f6\u5019,\u540e\u9762\u4f7f\u7528\u73b0\u5728\u5b8c\u6210\u65f6;\u5f53\u524d\u9762\u662fwas\u7684\u65f6\u5019,\u540e\u9762\u4f7f\u7528\u8fc7\u53bb\u5b8c\u6210\u65f6\u3002\u672c\u9898\u524d\u9762\u662fis,\u6240\u4ee5\u7528\u73b0\u5728\u5b8c\u6210\u65f6\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a-I have won the first prize in singing. -_ A. Congratulations! B. That\u2019s right. C. You can\u2019t be serious. D. Absolutely!\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u60c5\u666f\u5bf9\u8bdd\u3002\u53e5\u610f:\u2014\u2014\u6211\u5728\u5531\u6b4c\u6bd4\u8d5b\u4e2d\u83b7\u5f97\u4e86\u7b2c\u4e00\u540d\u3002\u2014\u2014\u795d\u8d3a\u3002A. Congratulations! \u795d\u8d3a;B. That\u2019s right.\u90a3\u662f\u6b63\u786e\u7684;C. You can\u2019t be serious. \u4f60\u522b\u5f53\u771f;D. Absolutely!\u7edd\u5bf9\u5730,\u6839\u636e\u4e0a\u6587\u5185\u5bb9,\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aA great number of students by the interviewer said that they were forced to practice the piano. A. to question B. to be questioned C. questioned D. questioning\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u975e\u8c13\u8bed\u52a8\u8bcd\u3002\u53e5\u610f:\u5927\u91cf\u88ab\u91c7\u8bbf\u8005\u63d0\u95ee\u7684\u5b66\u751f\u8bf4,\u4ed6\u4eec\u88ab\u8feb\u7ec3\u4e60\u94a2\u7434\u3002question\u7684\u903b\u8f91\u4e3b\u8bed\u662fstudents,\u5b83\u4eec\u4e4b\u95f4\u662f\u88ab\u52a8\u5173\u7cfb,\u6240\u4ee5\u7528\u8fc7\u53bb\u5206\u8bcd\u4f5c\u5b9a\u8bed,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a\u2014Here you are at last. How about our plane? \u2014Well, I\u2019ve bought the tickets. The plane _ at 2:00 this afternoon. A.\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u662f\u4e0d\u662f\u4e0d\u4fe1\u4efb\u5bfc\u81f4\u4e86\u4eba\u4eec\u4e4b\u95f4\u7684\u8bef\u89e3\u548c\u51b2\u7a81\u3002\u672c\u53e5\u8003\u67e5\u4e86\u5f3a\u8c03\u53e5\u578b:It is/was+\u88ab\u5f3a\u8c03\u6210\u5206+that/who+ \u5176\u4ed6\u6210\u5206;\u5f53\u88ab\u5f3a\u8c03\u90e8\u5206\u6307\u4eba,\u53ef\u4ee5\u4f7f\u7528that/who;\u5f53\u88ab\u5f3a\u8c03\u90e8\u5206\u4e0d\u6307\u4eba\u7684\u65f6\u5019,\u4f7f\u7528that;\u672c\u53e5\u5f3a\u8c03\u7684\u662f\u540d\u8bcdmistrust,\u6ca1\u6709\u6307\u4eba,\u4f7f\u7528that\u5f3a\u8c03\u3002\u6545D\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u672c\u9898\u8003\u67e5\u4e86\u5f3a\u8c03\u53e5\u578b\u7684\u7528\u6cd5,\u5176\u5177\u4f53\u7528\u6cd5\u5982\u4e0b:\u5728\u82f1\u8bed\u4e2d,\u6211\u4eec\u5e38\u7528It is/was\u2026 who/that\u7ed3\u6784\u6765\u7a81\u51fa\u5f3a\u8c03\u53e5\u5b50\u7684\u67d0\u4e00\u6210\u5206(\u4e00\u822c\u662f\u53e5\u5b50\u4e2d\u4e3b\u8bed,\u5bbe\u8bed\u6216\u72b6\u8bed)\u3002\u5728\u8fd9\u4e2a\u53e5\u578b\u4e2d,it\u6ca1\u6709\u8bcd\u6c47\u610f\u4e49,\u53ea\u662f\u5f15\u51fa\u88ab\u5f3a\u8c03\u7684\u6210\u5206\u3002\u5982\u679c\u88ab\u5f3a\u8c03\u7684\u6210\u5206\u662f\u8868\u793a\u4eba\u7684\u8bcd,\u7528who\u6216that\u6765\u8fde\u63a5\u90fd\u53ef\u4ee5\u3002\u5982\u679c\u662f\u5176\u5b83\u6210\u5206,\u5219\u4e00\u5f8b\u7528that\u6765\u8fde\u63a5\u3002 It was in the park that I met my old teacher yesterday. (\u5f3a\u8c03\u5730\u70b9\u72b6\u8bed) It was yesterday that I met my old teacher in the park. (\u5f3a\u8c03\u65f6\u95f4\u72b6\u8bed) \u4e8c\u3001\u4f7f\u7528\u672c\u53e5\u578b\u7684\u51e0\u4e2a\u6ce8\u610f\u4e8b\u9879 1.\u88ab\u5f3a\u8c03\u6210\u5206\u662f\u4e3b\u8bed,who/that\u4e4b\u540e\u7684\u8c13\u8bed\u52a8\u8bcd\u5e94\u8be5\u5728\u4eba\u79f0\u548c\u6570\u4e0a\u4e0e\u539f\u53e5\u4e2d\u7684\u4e3b\u8bed\u4fdd\u6301\u4e00\u81f4\u3002 It is I who am right. It is he who is wrong. It is the students who are lovely. 2.\u5373\u4f7f\u88ab\u5f3a\u8c03\u6210\u5206\u662f\u53e5\u5b50\u4e2d\u7684\u65f6\u95f4\u72b6\u8bed,\u5730\u70b9\u72b6\u8bed,\u539f\u56e0\u72b6\u8bed\u7b49,\u4e5f\u4e0d\u80fd\u7528when,where, because,\u8981\u7528 that\u3002 It was after the war was over that Einstein was able to come back to his research work again. It was in front of the bank that the old lady was robbed. It was because of the heavy rain that he came late. 3.\u5982\u679c\u88ab\ufffd\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u79bb\u5f00\u3002\u53e5\u610f:\u4ed6\u662f\u6211\u4eec\u73ed\u6700\u4f18\u79c0\u7684\u5b66\u751f,\u4ed6\u603b\u662f\u57cb\u5934\u82e6\u8bfb\u3002\u7ed3\u5408\u53e5\u610f\u53e5\u5b50\u7528\u4e00\u822c\u73b0\u5728\u65f6\u6001,\u4e3b\u8bed\u662f\u5355\u6570\u7b2c\u4e09\u4eba\u79f0he,\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe door _ open and in rushed the crowd, shouting with anger. A. pushed B. knocked C. forced D. burst\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u3002A. pushed\u63a8\u52a8;B. knocked\u6572,\u649e; C. forced\u5f3a\u8feb;D. burst\u7206\u53d1\u3002\u53e5\u610f:\u95e8\u7a81\u7136\u5f00\u4e86,\u4eba\u7fa4\u51b2\u4e86\u8fdb\u6765,\u6124\u6012\u5730\u53eb\u558a\u7740\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u7b54\u6848\u4e3aD\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHe is a man with rich experience, from _ much can be learned. A. whom B. which C. where D. what\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5b9a\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u4ed6\u662f\u4e00\u4e2a\u7ecf\u9a8c\u4e30\u5bcc\u7684\u4eba,\u53ef\u4ee5\u4ece\u4ed6\u8eab\u4e0a\u5b66\u5230\u5f88\u591a\u4e1c\u897f\u3002\u6b64\u5904man\u662f\u5148\u884c\u8bcd,\u6307\u4eba,\u5728\u540e\u9762\u7684\u5b9a\u8bed\u4ece\u53e5\u4e2d\u4f5c\u4ecb\u8bcdfrom\u7684\u5bbe\u8bed,\u4ecb\u8bcd\u540e\u9762\u6307\u4eba\u7528from,\u6307\u7269\u7528which,\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWe will get in touch with you as soon as tickets become _. A. temporary B. obvious C. available D. qualified\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u4e00\u6709\u7968\u5356,\u6211\u4eec\u5c31\u5c06\u8054\u7cfb\u4f60\u4eec\u3002A. temporary\u4e34\u65f6\u7684;B. obvious\u663e\u7136\u7684;C. available\u53ef\u4ee5\u5229\u7528\u7684,\u53ef\u4ee5\u4e70\u5230\u7684;D. qualified\u6709\u8d44\u683c\u7684\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aYou may _ my opinion on this matter, but you must tell me how you would like to deal with it. A. set off B. set up C. set aside D. set out\n\u3010\u7b54\u6848\u3011\uff1aC\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u77ed\u8bedbe sure of\u7f3a\u5c11\u4e86\u4ecb\u8bcdof,\u4ece\u800c\u786e\u5b9a\u5148\u884c\u8bcdanything\u5728\u5b9a\u8bed\u4ece\u53e5\u4e2d\u4f5c\u4ecb\u8bcdof\u7684\u5bbe\u8bed,\u6545\u786e\u5b9a\u5173\u7cfb\u8bcdwhich\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aA powerful hurricane struck the town of America, _ at least ten deaths. A. caused B. to cause C. causes D. causing\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u975e\u8c13\u8bed\u52a8\u8bcd\u3002\u53e5\u610f:\u4e00\u573a\u5f3a\u70c8\u7684\u98d3\u98ce\u88ad\u51fb\u4e86\u7f8e\u56fd\u5c0f\u9547,\u9020\u6210\u81f3\u5c11\u5341\u4eba\u6b7b\u4ea1\u3002\u53e5\u4e2d\u7528\u73b0\u5728\u5206\u8bcd\u4f5c\u7ed3\u679c\u72b6\u8bed,\u8868\u793a\u524d\u4e00\u4ef6\u4e8b\u60c5\u6240\u5e26\u6765\u81ea\u7136\u800c\u7136\u7684\u7ed3\u679c\u3002\u6545\u9009D\u3002\u3010\u70b9\u775b\u3011\u4e0d\u5b9a\u5f0f\u548c\u73b0\u5728\u5206\u8bcd\u90fd\u53ef\u4ee5\u4f5c\u7ed3\u679c\u72b6\u8bed,\u4f46\u4e24\u8005\u7528\u6cd5\u6709\u533a\u522b:1\u3001\u73b0\u5728\u5206\u8bcd\u4f5c\u7ed3\u679c\u72b6\u8bed,\u901a\u5e38\u8868\u793a\u4e00\u79cd\u81ea\u7136\u7684\u7ed3\u679c,\u5373\u5c5e\u9884\u6599\u4e4b\u4e2d\u7684\u4e8b\u30022\u3001\u4e0d\u5b9a\u5f0f\u4f5c\u7ed3\u679c\u72b6\u8bed,\u4e3b\u8981\u8868\u793a\u6ca1\u6709\u9884\u6599\u5230\u7684\u60c5\u51b5\u6216\u7ed3\u679c,\u5373\u5c5e\u9884\u6599\u4e4b\u5916\u7684\u4e8b,\u901a\u5e38\u4e0e\u526f\u8bcdonly\u8fde\u7528\u3002\u672c\u9898\u6839\u636e\u53e5\u610f\u53ef\u77e5,\u5c5e\u4e8e\u610f\u6599\u4e4b\u5916\u7684\u7ed3\u679c,\u6545\u7528\u4e0d\u5b9a\u5f0f\u4f5c\u7ed3\u679c\u72b6\u8bed\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a\u2014I didn\u2019t find the way to the station. \u2014_ I had told you about it in detail. A. How come? B. No wonder. C. No problem. D. Who cares?\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ea4\u9645\u7528\u8bed\u3002\u53e5\u610f:\u2014\u2014\u6211\u6ca1\u627e\u5230\u53bb\u8f66\u7ad9\u7684\u8def\u3002\u2014\u2014\u600e\u4e48\u4f1a\u8fd9\u6837?\u6211\u5df2\u7ecf\u8be6\u7ec6\u5730\u544a\u8bc9\u8fc7\u4f60\u4e86\u3002A. How come? \u600e\u4e48\u4f1a\u8fd9\u6837?B. No wonder.\u602a\u4e0d\u5f97\u3002C. No problem.\u6ca1\u95ee\u9898\u3002D. Who cares?\u8c01\u5728\u4e4e?\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a\u2014Are you allowed _ the hall at this time? \u2014Sorry, I\u2019m afraid not\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u4e48\u4f1a\u8fd9\u6837?B. No wonder.\u602a\u4e0d\u5f97\u3002C. No problem.\u6ca1\u95ee\u9898\u3002D. Who cares?\u8c01\u5728\u4e4e?\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a\u2014Are you allowed _ the hall at this time? \u2014Sorry, I\u2019m afraid not. A. entering B. entered C. to enter D. enter\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u56fa\u5b9a\u7ed3\u6784\u3002\u53e5\u610f:\u2014\u2014\u4f60\u8fd9\u4e2a\u65f6\u5019\u88ab\u5141\u8bb8\u8fdb\u5165\u5927\u5385\u5417?\u2014\u2014\u5bf9\u4e0d\u8d77,\u6050\u6015\u4e0d\u80fd\u3002be allowed to do sth.\u201c\u88ab\u5141\u8bb8\u505a\u67d0\u4e8b\u201d,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWhen the time came to make the final decision for a course, I decided to apply for the one that _ my interest. A. limited B. reserved C. spoiled D. reflected\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u5f53\u6700\u7ec8\u51b3\u5b9a\u4fee\u54ea\u95e8\u8bfe\u7684\u65f6\u5019,\u6211\u51b3\u5b9a\u7533\u8bf7\u80fd\u53cd\u6620\u6211\u5174\u8da3\u7684\u90a3\u95e8\u8bfe\u7a0b\u3002limit,\u9650\u5236;reserve\u4fdd\u7559;spoil\u5ba0\u574f;reflect\u53cd\u6620,\u53cd\u5c04\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5,\u8981\u9009\u62e9\u7684\u8bfe\u7a0b\u662f\u80fd\u53cd\u5e94(reflect)\u6211\u5174\u8da3\u7684\u90a3\u4e00\u95e8,reflect\u7b26\u5408\u9898\u610f,\u5176\u5b83\u9009\u9879\u4e0d\u7b26\u5408\u9898\u610f,\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aFortunately I _ a seat belt, otherwise I would have been injured. A. am wearing B. was wearing C. have been wearing D. have worn\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u865a\u62df\u8bed\u6c14\u3002\u53e5\u610f:\u5e78\u8fd0\u7684\u662f\u6211\u7cfb\u4e86\u5b89\u5168\u5e26,\u5426\u5219\u6211\u5c31\u53d7\u4f24\u4e86\u3002\u672c\u9898\u4e2d otherwise \u8868\u793a\u201c\u5426\u5219\u201d,\u76f8\u5f53\u4e8e\u4e00\u4e2a\u865a\u62df\u6761\u4ef6\u53e5,\u5176\u540e\u76f8\u5f53\u4e8e\u76f8\u5e94\u7684\u4e3b\u53e5\u3002\u5176\u4e2d\u52a8\u8bcd\u7528\u4e86 would have done \u7684\u5f62\u5f0f\u8bf4\u660e\u662f\u4e0e\u8fc7\u53bb\u4e8b\u5b9e\u76f8\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u5219\u6211\u5c31\u53d7\u4f24\u4e86\u3002\u672c\u9898\u4e2d otherwise \u8868\u793a\u201c\u5426\u5219\u201d,\u76f8\u5f53\u4e8e\u4e00\u4e2a\u865a\u62df\u6761\u4ef6\u53e5,\u5176\u540e\u76f8\u5f53\u4e8e\u76f8\u5e94\u7684\u4e3b\u53e5\u3002\u5176\u4e2d\u52a8\u8bcd\u7528\u4e86 would have done \u7684\u5f62\u5f0f\u8bf4\u660e\u662f\u4e0e\u8fc7\u53bb\u4e8b\u5b9e\u76f8\u53cd;\u6240\u4ee5\u524d\u534a\u53e5\u8bb2\u8ff0\u7684\u662f\u8fc7\u53bb\u7684\u4e8b\u5b9e,\u7528\u8fc7\u53bb\u65f6\u6001,\u518d\u6839\u636e\u53e5\u610f,\u6211\u5f53\u65f6\u201c\u6b63\u7cfb\u7740\u5b89\u5168\u5e26\u201d,\u8981\u7528\u8fdb\u884c\u65f6,\u7efc\u4e0a,\u6545\u9009B\u3002\u3010\u70b9\u775b\u3011\u82f1\u8bed\u4e2d\u8868\u793a\u6761\u4ef6\u65f6\u6709\u65f6\u6ca1\u6709\u8fde\u8bcd if,\u800c\u662f\u7528 otherwise\u3001or\u3001but\u3001but for \u7b49\u5f62\u5f0f\u8868\u8fbe\u6761\u4ef6,\u8fd9\u79cd\u7c7b\u578b\u7684\u865a\u62df\u8bed\u6c14\u88ab\u79f0\u4e4b\u4e3a\u542b\u84c4\u7684\u865a\u62df\u6761\u4ef6\u3002\u4f8b\u5982\u672c\u9898\u4e2d otherwise \u8868\u793a\u201c\u5426\u5219\u201d,\u76f8\u5f53\u4e8e\u4e00\u4e2a\u865a\u62df\u6761\u4ef6\u53e5,\u6240\u4ee5\u53e5\u5b50\u9075\u5faa\u865a\u62df\u8bed\u6c14\u7684\u89c4\u5219\u3002otherwise\u540e\u76f8\u5f53\u4e8e\u76f8\u5e94\u7684\u4e3b\u53e5\u3002\u5176\u4e2d\u52a8\u8bcd\u7528\u4e86 would have done \u7684\u5f62\u5f0f\u8bf4\u660e\u662f\u4e0e\u8fc7\u53bb\u4e8b\u5b9e\u76f8\u53cd;\u6240\u4ee5\u524d\u534a\u53e5\u8bb2\u8ff0\u7684\u662f\u8fc7\u53bb\u7684\u4e8b\u5b9e,\u7528\u8fc7\u53bb\u65f6\u6001,\u518d\u6839\u636e\u53e5\u610f,\u6211\u5f53\u65f6\u201c\u6b63\u7cfb\u7740\u5b89\u5168\u5e26\u201d,\u8981\u7528\u8fdb\u884c\u65f6,\u7efc\u4e0a,\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aShe didn't understand why I paid a repair man when my brother would do it for _. A. nothing B. anything C. everything D. something\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4e0d\u5b9a\u4ee3\u8bcd\u3002A. nothing\u4ec0\u4e48\u4e5f\u6ca1\u6709;B. anything\u4efb\u4f55\u4e8b\u60c5; C. everything \u6bcf\u4ef6\u4e8b\u60c5; D. something\u67d0\u4e8b\u3002\u53e5\u610f:\u5979\u4e0d\u660e\u767d\u4e3a\u4ec0\u4e48\u6211\u8981\u4ed8\u94b1\u7ed9\u4e00\u4e2a\u4fee\u7406\u5de5,\u800c\u6211\u7684\u54e5\u54e5\u5374\u613f\u610f\u514d\u8d39\u505a\u8fd9\u4ef6\u4e8b\u3002for nothing\u201c\u514d\u8d39\u201d,\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI was wondering the discussion would end up if we kept on arguing like this aimlessly. A. what B.\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u88ab\u52a8\u5173\u7cfb,\u6240\u4ee5\u7528\u8fc7\u53bb\u5206\u8bcd\u4f5c\u5b9a\u8bed,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a\u2014Here you are at last. How about our plane? \u2014Well, I\u2019ve bought the tickets. The plane _ at 2:00 this afternoon. A. is going to take off B. takes off C. is to take off D. will take off\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u65f6\u6001\u3002\u53e5\u610f:\u2014\u2014\u4f60\u7ec8\u4e8e\u6765\u4e86\u3002\u6211\u4eec\u7684\u98de\u673a\u5462?\u2014\u2014\u6211\u4e70\u4e86\u7968\u3002\u98de\u673a\u5c06\u5728\u4e0b\u5348\u4e24\u70b9\u8d77\u98de\u3002\u8868\u793a\u98de\u673a\u3001\u5217\u8f66\u7b49\u6309\u7167\u65f6\u523b\u8868\u79bb\u5f00\u6216\u8005\u5230\u8fbe\u7b49\u7528\u4e00\u822c\u73b0\u5728\u65f6,\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHardly _ the house when he was caught. A. the thief had entered B. entered the thief C. had the thief entered D. was the thief entering\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u56fa\u5b9a\u7528\u6cd5\u548c\u5012\u88c5\u3002\u53e5\u610f:\u5c0f\u5077\u4e00\u8fdb\u623f\u5b50\u5c31\u88ab\u6293\u4f4f\u4e86\u3002Hardly\u2026when\u2026.\u4e3a\u56fa\u5b9a\u642d\u914d,\u610f\u4e3a\u201c\u4e00\u2026.\u5c31\u2026.\u201d,\u6b64\u53e5\u578b\u4e00\u822c\u4e3b\u53e5\u7528\u8fc7\u53bb\u5b8c\u6210\u65f6,\u5982\u679c\u534a\u5426\u5b9a\u8bcdhardly\u7f6e\u4e8e\u53e5\u9996,\u53e5\u5b50\u8981\u90e8\u5206\u5012\u88c5\u3002\u56e0\u6b64\u53ea\u6709C\u9879\u7b26\u5408\u9898\u610f,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHe is the most excellent student in our class, and he always _ himself in his studies. A. buries B. hides C. covers D. leaves\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u3002A. buries\u63a9\u57cb;B. hides\u8eb2\u85cf;C. covers\u8986\u76d6;D. leaves\u79bb\u5f00\u3002\u53e5\u610f:\u4ed6\u662f\u6211\u4eec\u73ed\u6700\u4f18\u79c0\u7684\u5b66\u751f,\u4ed6\u603b\u662f\u57cb\u5934\u82e6\u8bfb\u3002\u7ed3\u5408\u53e5\u610f\u53e5\u5b50\u7528\u4e00\u822c\u73b0\u5728\u65f6\u6001,\u4e3b\u8bed\u662f\u5355\u6570\u7b2c\u4e09\u4eba\u79f0he,\u6545\u9009A\u3002\u3002\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u5de5,\u800c\u6211\u7684\u54e5\u54e5\u5374\u613f\u610f\u514d\u8d39\u505a\u8fd9\u4ef6\u4e8b\u3002for nothing\u201c\u514d\u8d39\u201d,\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI was wondering the discussion would end up if we kept on arguing like this aimlessly. A. what B. that C. where D. which\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5bbe\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u6211\u60f3\u77e5\u9053,\u5982\u679c\u6211\u4eec\u7ee7\u7eed\u8fd9\u6837\u6f2b\u65e0\u76ee\u7684\u5730\u4e89\u8bba\u4e0b\u53bb,\u8ba8\u8bba\u5c06\u4f1a\u6709\u4ec0\u4e48\u7ed3\u679c\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u6b64\u5904\u662fwhere\u5f15\u5bfc\u7684\u5bbe\u8bed\u4ece\u53e5,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHad you listened to the doctor, you _ all right now. A. are B. were C. would have been D. would be\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5if\u5f15\u5bfc\u7684\u865a\u62df\u8bed\u6c14\u3002\u53e5\u610f:\u5982\u679c\u4f60\u542c\u4e86\u533b\u751f\u7684\u8bdd,\u4f60\u73b0\u5728\u5c31\u597d\u4e86\u3002\u6b64\u5904\u662f\u7701\u7565if\u7684\u6df7\u5408\u6761\u4ef6\u53e5,\u4ece\u53e5\u4e0e\u8fc7\u53bb\u7684\u4e8b\u5b9e\u76f8\u53cd,\u4e3b\u53e5\u4e0e\u73b0\u5728\u7684\u4e8b\u5b9e\u76f8\u53cd,\u4ece\u53e5:If+\u4e3b\u8bed+had+done\u4e3b\u53e5,\u4e3b\u8bed+ should/would/might/could+do\u3002\u6545\u9009D\u3002\u3010\u70b9\u775b\u3011If\u5f15\u5bfc\u7684\u865a\u62df\u8bed\u6c14: 1.\u8868\u793a\u4e0e\u73b0\u5728\u4e8b\u5b9e\u76f8\u53cd\u7684\u60c5\u51b5 \u4ece\u53e5:If+\u4e3b\u8bed+\u52a8\u8bcd\u4e00\u822c\u8fc7\u53bb\u65f6(Be\u52a8\u8bcd\u7528were)\u4e3b\u53e5:\u4e3b\u8bed+ should/would/might/could+do:If I were you,I would take an umbrella.\u5982\u679c\u6211\u662f\u4f60,\u6211\u4f1a\u5e26\u628a\u4f1e\u3002(\u4e8b\u5b9e:\u6211\u4e0d\u53ef\u80fd\u662f\u4f60) 2.\u8868\u793a\u4e0e\u8fc7\u53bb\u4e8b\u5b9e\u76f8\u53cd\u7684\u60c5\u51b5 \u4ece\u53e5:If+\u4e3b\u8bed+had+done\u4e3b\u53e5:\u4e3b\u8bed+should/would/might/could+have done:If I had got there earlier,I should/would have met her.\u5982\u679c\u6211\u65e9\u5230\u90a3\u513f,\u6211\u5c31\u4f1a\u89c1\u5230\u5979\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u3002\u53e5\u610f:\u4e0d\u7ba1\u600e\u6837,\u6211\u4eec\u90fd\u5e94\u8be5\u8fdb\u884c\u6709\u89c4\u5219\u7684\u8fd0\u52a8,\u8fd9\u4e9b\u8fd0\u52a8\u53ef\u4ee5\u5e2e\u52a9\u4f7f\u4f60\u770b\u8d77\u6765\u597d,\u611f\u89c9\u597d\u5e76\u4e14\u5f88\u5065\u5eb7\u3002anyhow\u610f\u4e3a\u65e0\u8bba\u5982\u4f55,\u4e0d\u7ba1\u600e\u6837;somehow\u610f\u4e3a\u4e0d\u77e5\u600e\u4e48\u5730\u3002\u6839\u636e\u53e5\u610f\u53ef\u77e5\u524d\u4e00\u4e2a\u7a7a\u7528Anyhow\u3002\u540e\u4e00\u4e2a\u7a7a\u8003\u67e5\u7684\u662f\u5b9a\u8bed\u4ece\u53e5\u7684\u5f15\u5bfc\u8bcd,\u5148\u884c\u8bcd\u4e3asomething,\u5c5e\u4e8e\u4e0d\u5b9a\u4ee3\u8bcd,\u5b9a\u8bed\u4ece\u53e5\u4e2d\u7f3a\u5c11\u4e3b\u8bed,\u6240\u4ee5\u7528that\u5f15\u5bfc\u3002\u7efc\u4e0a\u6240\u8ff0,\u6545\u9009A\u9879\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aDon\u2019t cross the street before the traffic _ turns to green light. A. notice B. signal C. symbol D. mark\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u5728\u4ea4\u901a\u4fe1\u53f7\u53d8\u4e3a\u7eff\u706f\u4e4b\u524d\u4e0d\u8981\u8fc7\u9a6c\u8def\u3002notice\u901a\u77e5,\u516c\u544a;signal\u4fe1\u53f7;symbol\u7b26\u53f7,\u8c61\u5f81;mark\u6807\u5fd7\u3002\u6b64\u5904\u6307\u4fe1\u53f7\u706f,\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIn this game you're supposed to work together as a team and solve the problems as they_. A. rose B. raise C. rise D. arise\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u5728\u8fd9\u573a\u6bd4\u8d5b\u4e2d,\u4f60\u4eec\u5e94\u8be5\u50cf\u56e2\u961f\u4e00\u6837\u534f\u4f5c,\u5f53\u6709\u95ee\u9898\u4ea7\u751f\u7684\u65f6\u5019\u89e3\u51b3\u5b83\u4eec\u3002rose\u662frise\u7684\u8fc7\u53bb\u5f0f,\u610f\u4e3a\"\u8d77\u6765,\u4e0a\u5347,\u4e0a\u6da8\"\u3002raise\u610f\u4e3a\"\u7b79\u96c6,\u5347\u8d77,\u63d0\u9ad8\",rise\u610f\u4e3a\"\u8d77\u6765,\u4e0a\u5347,\u4e0a\u6da8\",arise\u610f\u4e3a\"\u4ea7\u751f\"\u3002\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aYou can use this room for your club activities tomorrow _ you keep it tidy and clean. A. for fear that B. on condition that C. in case D. even if\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: ,\u610f\u601d\u5b8c\u6574,\u90a3\u4e48,\u8fd9\u5c31\u662f\u4e00\u4e2a\u5f3a\u8c03\u53e5\u578b\u3002 \u56db\u3001\u5f3a\u8c03\u53e5\u578b\u4e5f\u6709\u7591\u95ee\u53e5\u5f62\u5f0f.\u4e00\u822c\u7591\u95ee\u53e5\u7684\u5f3a\u8c03\u5f62\u5f0f,\u53ea\u9700\u5c06is/was\u63d0\u524d,\u79fb\u81f3\u53e5\u9996\u5373\u53ef,\u5373:\"Is/Was it\u2026that\u2026\".\u7279\u6b8a\u7591\u95ee\u53e5\u7684\u5f3a\u8c03\u5f62\u5f0f, \u987b\u5c06\u9648\u8ff0\u53e5\u53d8\u6210\u4e00\u822c\u7591\u95ee\u53e5, \u518d\u5728\u53e5\u9996\u52a0\u4e0a\u7591\u95ee\u8bcd, \u5373\"\u7591\u95ee\u8bcd (\u88ab\u5f3a\u8c03\u90e8\u5206) +is/was + it + that + \u53e5\u5b50\u5176\u4f59\u90e8\u5206\". \u5982: Was it last year that the building was completed How was it that he went to school \u54f2\u7406\u6027,\u6545\u5e38\u7528\u4e00\u822c\u73b0\u5728\u65f6. \u4f8b\u5982: It's a wise father who knows his own child.\u65e0\u8bba\u591a\u806a\u660e\u7684\u7236\u4eb2\u4e5f\u4e0d\u89c1\u5f97\u4e86\u89e3\u81ea\u5df1\u7684\u5b69\u5b50.\" It's an ill wind that blows nobody(any)good.\u6b64\u5931\u5219\u5f7c\u5f97(\u6ca1\u6709\u4f7f\u6240\u6709\u7684\u4eba\u90fd\u53d7\u5bb3\u7684\u574f\u4e8b).\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aInvestigators urged that safety procedures at the construction site _ as soon as possible. A. would improve B. were improved C. improved D. be improved\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u865a\u62df\u8bed\u6c14\u3002\u53e5\u610f:\u8c03\u67e5\u4eba\u5458\u6566\u4fc3\u5efa\u7b51\u5de5\u5730\u4e0a\u7684\u5b89\u5168\u64cd\u4f5c\u8981\u5c3d\u65e9\u6539\u5584\u3002\u52a8\u8bcdurge\u540e\u7684\u5bbe\u8bed\u4ece\u53e5\u8981\u4f7f\u7528\u201cshould+\u52a8\u8bcd\u539f\u5f62\u201d\u7684\u865a\u62df\u8bed\u6c14,\u5176\u4e2dshould\u53ef\u4ee5\u7701\u7565\u3002\u672c\u53e5\u4e3b\u8bedsafety procedures at the construction site\u4e0eimprove\u6784\u6210\u88ab\u52a8\u5173\u7cfb,\u8981\u7528\u88ab\u52a8\u8bed\u6001,\u53e5\u4e2d\u8fd8\u7701\u7565\u4e86should\u3002\u6545D\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMy son, Ben, had got in touch, he\u2019d moved to England with his mum when he was three and it had been 13 years since I\u2019d last seen him. So imagine my _ when he emailed\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u8d44\u683c\u7684\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aYou may _ my opinion on this matter, but you must tell me how you would like to deal with it. A. set off B. set up C. set aside D. set out\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u7ec4\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u4f60\u53ef\u4ee5\u5bf9\u6211\u5728\u8fd9\u4ef6\u4e8b\u4e0a\u7684\u89c2\u70b9\u7f6e\u4e4b\u4e0d\u7406,\u4f46\u662f\u4f60\u5fc5\u987b\u544a\u8bc9\u6211\u4f60\u5c06\u5982\u4f55\u5904\u7406\u3002A. set off\u51fa\u53d1,\u5f15\u7206;B. set up\u5efa\u7acb;C. set aside\u628a\u2026\u2026\u653e\u5728\u4e00\u8fb9;D. set out\u5f00\u59cb,\u7740\u624b\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a\u201cNever teach a child anything _ you are not sure yourself\u201d, said the expert to the parents. A. that B. what C. of which D. which\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5b9a\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u4e13\u5bb6\u5bf9\u7236\u6bcd\u8bf4:\u201c\u4e0d\u8981\u5c06\u4f60\u81ea\u5df1\u90fd\u6ca1\u6709\u628a\u63e1\u7684\u4e1c\u897f\u6559\u7ed9\u5b69\u5b50\u3002\u201d\u53e5\u4e2d\u5148\u884c\u8bcdanything,\u5728\u5b9a\u8bed\u4ece\u53e5\u4e2d\u4f5c\u77ed\u8bedbe sure of\u4e2d\u4ecb\u8bcdof\u7684\u5bbe\u8bed,\u6545\u7528\u5173\u7cfb\u4ee3\u8bcdwhich\u5f15\u5bfc\u3002\u6545\u9009C\u3002\u3010\u70b9\u775b\u3011\u5206\u6790\u5b9a\u8bed\u4ece\u53e5\u5173\u952e\u6293\u4f4f\u4e24\u70b9:\u7b2c\u4e00\u3001\u627e\u51c6\u5148\u884c\u8bcd;\u7b2c\u4e8c\u3001\u770b\u5148\u884c\u8bcd\u5728\u5b9a\u8bed\u4ece\u53e5\u4e2d\u6240\u4f5c\u7684\u6210\u5206\u3002\u5148\u884c\u8bcd\u5f80\u5f80\u4e3a\u540d\u8bcd\u6216\u4ee3\u8bcd,\u5982\u672c\u9898\u4e2d\u5148\u884c\u8bcd\u4e3a\u4e0d\u5b9a\u4ee3\u8bcdanything,\u518d\u5206\u6790\u5148\u884c\u8bcdanything\u5728\u5b9a\u8bed\u4ece\u53e5\u4e2d\u6240\u4f5c\u7684\u6210\u5206\u3002\u9898\u4e2d\u7684\u5173\u952e\u5728\u4e8e\u8003\u751f\u8981\u77e5\u9053\u4ece\u53e5\u4e2d\u77ed\u8bedbe sure of\u7f3a\u5c11\u4e86\u4ecb\u8bcdof,\u4ece\u800c\u786e\u5b9a\u5148\u884c\u8bcdanything\u5728\u5b9a\u8bed\u4ece\u53e5\u4e2d\u4f5c\u4ecb\u8bcdof\u7684\u5bbe\u8bed,\u6545\u786e\u5b9a\u5173\u7cfb\u8bcdwhich\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aA powerful hurricane struck the town of\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: . considerately B. approximately C. appropriately D. considerably\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u526f\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u7531\u4e8e\u6539\u9769\u5f00\u653e,\u6211\u4eec\u7684\u751f\u6d3b\u6761\u4ef6,\u6beb\u65e0\u7591\u95ee,\u5728\u8fc7\u53bb\u7684\u51e0\u5341\u5e74\u91cc\u6709\u4e86\u5f88\u5927\u7684\u6539\u5584\u3002A. considerately\u4f53\u8c05\u5730; B. approximately\u5927\u7ea6;C. appropriately\u9002\u5f53\u5730;D. considerably\u76f8\u5f53\u5730,\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aPeterson, a great archaeologist, said: \u201cArchaeologists have been extremely patient because we were led to believe that the ministry was _ this problem, but we feel that we can't wait any longer.\u201d A. looking out B. bringing out C. carrying out D. sorting out\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u77ed\u8bed\u8fa8\u6790\u3002\u53e5\u610f:Peterson\u662f\u4e00\u4f4d\u4f1f\u5927\u7684\u8003\u53e4\u5b66\u5bb6,\u4ed6\u8bf4:\u201c\u8003\u53e4\u5b66\u5bb6\u4e00\u76f4\u975e\u5e38\u6709\u8010\u5fc3,\u56e0\u4e3a\u6211\u4eec\u88ab\u8bef\u5bfc,\u8ba4\u4e3a\u653f\u5e9c\u7684\u90e8\u95e8\u6b63\u5728\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898,\u4f46\u6211\u4eec\u89c9\u5f97\u6211\u4eec\u4e0d\u80fd\u518d\u7b49\u4e0b\u53bb\u4e86\u3002\u201d A. looking out\u5f53\u5fc3;B. bringing out\u51fa\u7248;C. carrying out\u5b9e\u65bd;D. sorting out\u89e3\u51b3,\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIn my driving lesson, a traffic rule that impressed me most is that in no time _ when the traffic lights turn red. A. all vehicles should stop B. should all vehicles stop C. should stop all vehicles D. should stop all vehicles\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5012\u88c5\u3002\u53e5\u610f:\u5728\u6211\u7684\u9a7e\u9a76\u8bfe\u4e0a,\u7ed9\u6211\u5370\u8c61\u6700\u6df1\u7684\u4e00\u6761\u4ea4\u901a\u89c4\u5219\u662f,\u5f53\u4ea4\u901a\u706f\u53d8\u7ea2\u65f6,\u6240\u6709\u7684\u8f66\u8f86\u90fd\u5e94\u8be5\u7acb\u5373\u505c\u8f66\u3002in no time\u653e\u53e5\u9996\u4e0d\u9700\u8981\u5012\u88c5,\u56e0\u4e3a\u4e0d\u662f\u5426\u5b9a\u8bcd,\u800c\u662f\u201c\u7acb\u5373\u201d\u7684\u610f\u601d\u3002\u5982\u679c\u662f\u8868\u793a\u5426\u5b9a\u610f\u4e49\u7684\u8bcd,\u5982in no case,in no way,by no means\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u7528when,where, because,\u8981\u7528 that\u3002 It was after the war was over that Einstein was able to come back to his research work again. It was in front of the bank that the old lady was robbed. It was because of the heavy rain that he came late. 3.\u5982\u679c\u88ab\u5f3a\u8c03\u7684\u6210\u5206\u6709\u540c\u4f4d\u8bed,\u540c\u4f4d\u8bed\u4e5f\u5e94\u63d0\u524d\u3002 It was from him,his chemistry teacher,that Paul learned to watch carefully in class. 4.\u88ab\u5f3a\u8c03\u6210\u5206\u662f\u5145\u5f53\u4e3b\u8bed\u7684\u4ee3\u8bcd,\u7528\u4e3b\u683c,\u662f\u4f5c\u5bbe\u8bed\u7684\u4ee3\u8bcd,\u7528\u5bbe\u683c It was he that helped me yesterday. It was me that he helped yesterday. 5.\u88ab\u5f3a\u8c03\u90e8\u5206\u65e2\u5305\u62ec\u4eba\u53c8\u5305\u62ec\u7269,\u7528that\u4e0d\u7528who lt was the things and people that they remembered that they were talking about. 6.\u5728\u5f3a\u8c03\u7ed3\u6784\u4e2d,\u65e0\u8bba\u88ab\u5f3a\u8c03\u7684\u662f\u4eba\u8fd8\u662f\u7269,\u662f\u5355\u6570\u8fd8\u662f\u590d\u6570,be\u52a8\u8bcd\u4e00\u5f8b\u7528is/was\u5f62\u5f0f,\u5982\u679c\u539f\u53e5\u7684\u8c13\u8bed\u52a8\u8bcd\u662f\u4e00\u822c\u8fc7\u53bb\u65f6,\u5c31\u7528was;\u5982\u679c\u662f\u4e00\u822c\u73b0\u5728\u65f6,\u5c31\u7528is.\u4e5f\u53ef\u4ee5\u7528\"\u60c5\u6001\u52a8\u8bcd+be\"\u5f62\u5f0f.\u5982: It might be yesterday that John bought a book for Mary. \u4e09\u3001\u533a\u5206\u5b9a\u8bed\u4ece\u53e5\u548c\u5f3a\u8c03\u53e5\u578b\u67d0\u4e9b\u5b9a\u8bed\u4ece\u53e5\u548c\u5f3a\u8c03\u53e5\u578b\u5f62\u5f0f\u5dee\u4e0d\u591a,\u5bb9\u6613\u6df7\u6dc6\u3002\u5982\u679c\u53bb\u6389it is/ was ...that\u53e5\u5b50\u4ecd\u7136\u901a\u987a\u6210\u7acb,\u5219\u4e3a\u5f3a\u8c03\u53e5\u578b,\u4e0d\u6210\u7acb\u4e0d\u901a\u987a,\u5219\u4e3a\u5b9a\u8bed\u4ece\u53e5\u3002 It was three years ago that he went to American for a further study. \u53bb\u6389It was that\u53e5\u5b50\u4e3aThree years ago he went to America for a further study.\u53e5\u5b50\u901a\u987a,\u610f\u601d\u5b8c\u6574,\u90a3\u4e48,\u8fd9\u5c31\u662f\u4e00\u4e2a\u5f3a\u8c03\u53e5\u578b\u3002 \u56db\u3001\u5f3a\u8c03\u53e5\u578b\u4e5f\u6709\u7591\u95ee\u53e5\u5f62\u5f0f.\u4e00\u822c\u7591\u95ee\u53e5\u7684\u5f3a\u8c03\u5f62\u5f0f,\u53ea\u9700\u5c06is/was\u63d0\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffd \u4ece\u53e5:If+\u4e3b\u8bed+had+done\u4e3b\u53e5:\u4e3b\u8bed+should/would/might/could+have done:If I had got there earlier,I should/would have met her.\u5982\u679c\u6211\u65e9\u5230\u90a3\u513f,\u6211\u5c31\u4f1a\u89c1\u5230\u5979\u3002(\u4e8b\u5b9e:\u53bb\u665a\u4e86) 3.\u8868\u793a\u4e0e\u5c06\u6765\u4e8b\u5b9e\u76f8\u53cd \u4ece\u53e5:\u2460if+\u4e3b\u8bed+were to do\u2461if+\u4e3b\u8bed+should+do\u2462if+\u4e3b\u8bed+\u52a8\u8bcd\u4e00\u822c\u8fc7\u53bb\u5f0f(be\u52a8\u8bcd\u7528were)\u4e3b\u53e5:\u4e3b\u8bed+should/would/might/could+do:If he should come here tomorrow,I would talk to him.\u5982\u679c\u4ed6\u660e\u5929\u6765\u8fd9\u513f\u7684\u8bdd,\u6211\u5c31\u8ddf\u4ed6\u8c08\u8c08\u3002(\u4e8b\u5b9e:\u6765\u7684\u53ef\u80fd\u6027\u5f88\u5c0f,\u4e0d\u53ef\u80fd)\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe\u2002examiner\u2002made\u2002us\u2002_our\u2002identification\u2002in\u2002order\u2002to\u2002be\u2002admitted\u2002to\u2002the\u2002text\u2002center. A. showing B. show C. showed D. to show\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8fd9\u91cc\u8003\u67e5\u7684\u662fmake\u590d\u5408\u7ed3\u6784\u3002\u53e5\u610f:\u8003\u5b98\u8981\u6c42\u6211\u4eec\u51fa\u793a\u8eab\u4efd\u8bc1\u4ef6\u4ee5\u4fbf\u88ab\u5141\u8bb8\u8fdb\u5165\u8003\u8bd5\u4e2d\u5fc3\u3002\"make+\u5bbe\u8bed+do sth.(\u4e0d\u5e26to\u7684\u4e0d\u5b9a\u5f0f)\"\u610f\u4e3a\"\u4f7f\u67d0\u4eba\u505a\u67d0\u4e8b\"\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a_, we should take regular exercise, something _ can help to make you look good, feel good and be healthy. A. Anyhow; that B. Anyhow; which C. Somehow; which D. Somehow; that\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u526f\u8bcd\u53ca\u5b9a\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u4e0d\u7ba1\u600e\u6837,\u6211\u4eec\u90fd\u5e94\u8be5\u8fdb\u884c\u6709\u89c4\u5219\u7684\u8fd0\u52a8,\u8fd9\u4e9b\u8fd0\u52a8\u53ef\u4ee5\u5e2e\u52a9\u4f7f\u4f60\u770b\u8d77\u6765\u597d,\u611f\u89c9\u597d\u5e76\u4e14\u5f88\u5065\u5eb7\u3002anyhow\u610f\u4e3a\u65e0\u8bba\u5982\u4f55,\u4e0d\u7ba1\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u7684\u8f66\u8f86\u90fd\u5e94\u8be5\u7acb\u5373\u505c\u8f66\u3002in no time\u653e\u53e5\u9996\u4e0d\u9700\u8981\u5012\u88c5,\u56e0\u4e3a\u4e0d\u662f\u5426\u5b9a\u8bcd,\u800c\u662f\u201c\u7acb\u5373\u201d\u7684\u610f\u601d\u3002\u5982\u679c\u662f\u8868\u793a\u5426\u5b9a\u610f\u4e49\u7684\u8bcd,\u5982in no case,in no way,by no means,\u610f\u4e3a\u201c\u7edd\u4e0d\u201d, \u653e\u5728\u53e5\u9996\u662f\u8981\u5012\u88c5\u7684\u3002\u6545\u672c\u9898\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aFrankly speaking, I am not sure whether I _ this in the old days with that kind of equipment, which looks quite odd and ridiculous. A. should have done B. need have done C. would have done D. must have done\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u60c5\u6001\u52a8\u8bcd+have done\u3002\u53e5\u610f:\u5766\u7387\u5730\u8bf4,\u6211\u4e0d\u786e\u5b9a\u5728\u8fc7\u53bb\u6211\u662f\u5426\u4f1a\u7528\u8fd9\u79cd\u8bbe\u5907\u505a\u8fd9\u4ef6\u4e8b,\u8fd9\u770b\u8d77\u6765\u5f88\u5947\u602a\u548c\u53ef\u7b11\u3002A. should have done\u8868\u793a\u672c\u5e94\u8be5\u505a\u67d0\u4e8b,\u800c\u5b9e\u9645\u4e0a\u6ca1\u6709\u505a\u67d0\u4e8b;B. need have done\u8868\u793a\u672c\u6765\u9700\u8981\u505a\u67d0\u4e8b\u800c\u6ca1\u6709\u505a;C. would have done\u865a\u62df\u8bed\u6c14,\u8868\u793a\u5bf9\u8fc7\u53bb\u4e8b\u60c5\u7684\u5047\u8bbe,\u610f\u601d\u662f\u201c\u672c\u6765\u4f1a\u505a\u201d;D. must have done\u8868\u793a\u5bf9\u8fc7\u53bb\u4e8b\u60c5\u7684\u80af\u5b9a\u63a8\u6d4b,\u8bd1\u6210\u201c\u4e00\u5b9a\u505a\u8fc7\u67d0\u4e8b\u201d\u3002\u7531\u201cin the old days\u201d\u53ef\u77e5,\u672c\u53e5\u8868\u793a\u5bf9\u8fc7\u53bb\u4e8b\u60c5\u7684\u5047\u8bbe\u3002\u6545\u9009C\u9879\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a-Is this the first time you _ Beijing? -No. But it has been 3 years since I last here. A. visit; come B. visited; came C. have visited; came D. have visited; come\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u56fa\u5b9a\u53e5\u578b\u548c\u65f6\u6001\u3002\u53e5\u610f:\u2014\u2014\u8fd9\u662f\u4f60\u7b2c\u4e00\u6b21\u5230\u5317\u4eac\u5417?\u2014\u2014\u4e0d,\u4f46\u662f\u4ece\u6211\u4e0a\u4e00\u6b21\u5230\u8fd9\u91cc\u6765,\u5df2\u7ecf\u6709\u4e09\u5e74\u4e86\u3002This is the first time that\u2026\u662f\u56fa\u5b9a\u53e5\u578b,that\u4ece\u53e5\u4e2d\u7528\u73b0\u5728\u5b8c\u6210\u65f6,\u6392\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u987b,\u6545\u7b2c\u4e00\u4e2a\u7a7a\u7528shall\u3002inspiration\u540e\u9762\u662f\u5b9a\u8bed\u4ece\u53e5,\u5173\u7cfb\u4ee3\u8bcd\u7701\u7565,\u5b9a\u8bed\u4ece\u53e5\u8fd8\u7f3a\u5c11\u4e3b\u8bedthe poem,\u7528it\u7279\u6307\u524d\u9762\u7684that poem,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a\u2014I can\u2019t think why he _ so angry. I meant no offence. \u2014It\u2019s typical of him to be sensitive. A. must have been B. should have been C. might have been D. can have been\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u60c5\u6001\u52a8\u8bcd+have done\u7ed3\u6784\u3002\u53e5\u610f:\u2014\u2014\u6211\u60f3\u4e0d\u51fa\u4ed6\u4e3a\u4ec0\u4e48\u8fd9\u4e48\u751f\u6c14\u3002\u6211\u65e0\u610f\u5192\u72af\u3002\u2014\u2014\u654f\u611f\u662f\u4ed6\u7684\u7279\u70b9\u3002A. must have been\u5bf9\u8fc7\u53bb\u4e8b\u5b9e\u80af\u5b9a\u7684\u63a8\u6d4b;B. should have been\u672c\u5e94\u8be5\u505a\u67d0\u4e8b,\u800c\u5b9e\u9645\u6ca1\u6709\u505a;C. might have been\u8868\u793a\u4e00\u79cd\u53ef\u80fd\u6027,\u4e00\u79cd\u63a8\u6d4b;D. can have been\u8868\u793a\u63a8\u6d4b,\u9898\u5e72\u4e2d\u8868\u793a\u201c\u672c\u5e94\u8be5\u505a\u67d0\u4e8b,\u800c\u5b9e\u9645\u6ca1\u6709\u505a\u201d,\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIt\u2019s required that the football match _ put off _ the bad weather. A. be; because of B. would be; due to C. be; thanks to D. was; owing to\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u865a\u62df\u8bed\u6c14\u3002\u53e5\u610f:\u7531\u4e8e\u5929\u6c14\u4e0d\u597d,\u8db3\u7403\u6bd4\u8d5b\u88ab\u63a8\u8fdf\u4e86\u3002require\u8981\u6c42,\u4ece\u53e5\u7528should + v\u539f\u5f62\u7684\u865a\u62df\u8bed\u6c14,should\u53ef\u4ee5\u7701\u7565\u3002A. be; because of\u56e0\u4e3a;B. would be; due to \u7531\u4e8e;C. be; thanks to \u591a\u4e8f\u4e86;D. was; owing to\u7531\u4e8e\u3002because of\u201c\u56e0\u4e3a\u201d\u8868\u793a\u4e00\u79cd\u539f\u56e0;thanks to\u201c\u591a\u4e8f\u4e86\u201d\u8868\u793a\u611f\u6fc0\u3002\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMadame Curie, for _ life had once been very hard, was successful later. A. whom B. whose C.\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: because of\u201c\u56e0\u4e3a\u201d\u8868\u793a\u4e00\u79cd\u539f\u56e0;thanks to\u201c\u591a\u4e8f\u4e86\u201d\u8868\u793a\u611f\u6fc0\u3002\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMadame Curie, for _ life had once been very hard, was successful later. A. whom B. whose C. which D. that\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5b9a\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u5c45\u91cc\u592b\u4eba\u7684\u751f\u6d3b\u66fe\u7ecf\u5f88\u8270\u96be,\u4f46\u540e\u6765\u6210\u529f\u4e86\u3002\u8fd9\u9053\u9898\u5bb9\u6613\u53d7\u601d\u7ef4\u5b9a\u52bf\u7684\u5f71\u54cd\u8ba4\u4e3awhose life\u662f\u4e00\u4e2a\u6574\u4f53,\u4f46\u5982\u679c\u662fwhose life,\u5219\u5b9a\u8bed\u4ece\u53e5\u6ca1\u6709\u4e3b\u8bed\u4e86,B\u9519;\u5b9a\u8bed\u4ece\u53e5\u7684\u4e3b\u8bed\u5e94\u8be5\u662flife,\u672c\u53e5\u53ef\u4ee5\u6539\u5199\u4e3a:life had once been very hard for her,\u6240\u4ee5\u5728\u5b9a\u8bed\u4ece\u53e5\u4e2d\u4ecb\u8bcdfor\u7f3a\u5c11\u4e86\u4e00\u4e2a\u5bbe\u8bed\u3002\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMy money _. I must go to the bank to draw some of my savings out before I\u2019ve none in hand. A. has run out B. is running out C. was running out D. runs out\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u65f6\u6001\u548c\u8bed\u6001\u3002\u53e5\u610f:\u6211\u7684\u94b1\u5feb\u82b1\u5149\u4e86\u3002\u6211\u5f97\u5148\u5230\u94f6\u884c\u628a\u4e00\u4e9b\u5b58\u6b3e\u53d6\u51fa\u6765,\u5426\u5219\u6211\u624b\u5934\u5c31\u6ca1\u6709\u5b58\u6b3e\u4e86\u3002\u4ece\u540e\u53e5\u53ef\u77e5,\u6211\u624b\u5934\u8fd8\u6709\u4e00\u70b9\u94b1,\u4f46\u5f88\u5feb\u8981\u7528\u5b8c\u4e86,\u6545\u7528B\u9879,\u8fdb\u884c\u65f6\u8868\u793a\u5c06\u6765\u65f6\u3002run out\u4e0d\u7528\u88ab\u52a8\u8bed\u6001\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHis family was in Pakistan for a wedding two weeks ago. They were supposed to leave on Sunday, but were unable to flight delays. A. as for B. in addition to C. due to D. in spite of\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ecb\u8bcd\u77ed\u8bed\u642d\u914d\u3002\u53e5\u610f:\u4e24\u5468\u524d,\u4ed6\u7684\u5bb6\u4eba\u53bb\u5df4\u57fa\u65af\u5766\u53c2\u52a0\u4e00\u4e2a\u5a5a\u793c\u3002\u4ed6\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: spite of\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ecb\u8bcd\u77ed\u8bed\u642d\u914d\u3002\u53e5\u610f:\u4e24\u5468\u524d,\u4ed6\u7684\u5bb6\u4eba\u53bb\u5df4\u57fa\u65af\u5766\u53c2\u52a0\u4e00\u4e2a\u5a5a\u793c\u3002\u4ed6\u4eec\u672c\u5e94\u8be5\u5468\u65e5\u79bb\u5f00\u7684,\u4f46\u662f\u56e0\u4e3a\u822a\u73ed\u5ef6\u8bef\u800c\u672a\u80fd\u79bb\u5f00\u3002\u6839\u636e\u8bed\u5883\u53ef\u77e5,\u6b64\u5904\u8868\u793a\u201c\u7531\u4e8e\u822a\u73ed\u5ef6\u8bef\u201d\u3002as for\u81f3\u4e8e;in addition to\u9664\u4e86;due to\u7531\u4e8e,\u5e94\u5f52\u4e8e;in spite of\u4e0d\u7ba1,\u4e0d\u987e\u3002\u7ed3\u5408\u9009\u9879\u53ef\u77e5,C\u9009\u9879\u6b63\u786e,\u6545\u9009C\u3002\u3010\u70b9\u775b\u3011\u4ecb\u8bcd\u77ed\u8bed\u7684\u56fa\u5b9a\u642d\u914d\u5728\u4e00\u4e2a\u53e5\u5b50\u4e2d\u626e\u6f14\u7740\u627f\u4e0a\u542f\u4e0b\u7684\u91cd\u8981\u4f5c\u7528,\u8fd9\u4e9b\u56fa\u5b9a\u642d\u914d\u53ea\u8981\u5e73\u65f6\u8bb0\u7262\u56fa\u4e86,\u8003\u8bd5\u4e5f\u5c31\u6ca1\u90a3\u4e48\u5927\u96be\u5ea6\u4e86\u3002\u5982\u9898\u76ee\u4e2d,as for\u81f3\u4e8e;in addition to\u9664\u4e86;due to\u7531\u4e8e,\u5e94\u5f52\u4e8e;in spite of\u4e0d\u7ba1,\u4e0d\u987e\u3002\u7ed3\u5408\u53e5\u610f,\u5206\u6790\u56db\u4e2a\u9009\u9879\u77ed\u8bed\u610f\u601d,\u4fbf\u53ef\u9009\u51fa\u6b63\u786e\u9009\u9879\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe movie once _ a whole generation of people. It was proved to be of much _ in the education of people. A. affected; effect B. effected; affect C. effected; effect D. affected; affect\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u548c\u540d\u8bcd\u8bcd\u6027\u3002\u53e5\u610f:\u8fd9\u90e8\u7535\u5f71\u66fe\u7ecf\u5f71\u54cd\u4e86\u6574\u6574\u4e00\u4ee3\u4eba\u3002\u5b83\u88ab\u8bc1\u5b9e\u5bf9\u80b2\u4eba\u6709\u5f88\u5927\u7684\u5f71\u54cd\u3002affect v.\u5f71\u54cd;effect n.\u5f71\u54cd,\u7ed3\u679c\u3002\u6839\u636e\u53e5\u610f\u5e76\u5206\u6790\u53e5\u5b50\u7ed3\u6784\u53ef\u77e5,\u7b2c\u4e00\u7a7a\u5728\u53e5\u4e2d\u4f5c\u8c13\u8bed,\u6545\u586b\u52a8\u8bcdaffected;\u7b2c\u4e8c\u7a7a,\u4ecb\u8bcdof\u540e\u7528\u540d\u8bcd,\u6545\u586beffect\u3002\u7ed3\u5408\u9009\u9879\u53ef\u77e5,A\u9879\u6b63\u786e\u3002\u6545\u9009\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u53cd\u7684\u5047\u8bbe \u8fc7\u53bb\u65f6(was\u2192were) would/could/might/should do \u4e0e\u5c06\u6765\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe \u8fc7\u53bb\u65f6 (was\u2192were ) ; should do; were to do would/could/might/should do \u672c\u53e5\u8868\u793a\u4e0e\u8fc7\u53bb\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe\u3002\u4e3b\u53e5\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0fwould/could/might/should have done,\u6761\u4ef6\u4ece\u53e5\u7684\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0fhad done\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWithout electricity, human life quite difficult today. A. would be B. will be C. would have been D. is\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u865a\u62df\u8bed\u6c14\u3002\u53e5\u610f:\u6ca1\u6709\u7535,\u4eba\u7c7b\u4eca\u5929\u7684\u751f\u6d3b\u5c06\u4f1a\u76f8\u5f53\u56f0\u96be\u3002\u865a\u62df\u8bed\u6c14\u4e2d\u7684\u201c\u542b\u84c4\u4e4b\u7f8e\u201d\u6307\u7684\u662f\u542b\u84c4\u865a\u62df\u8bed\u6c14\u3002\u56e0\u4e3a\u6709\u65f6\u5047\u8bbe\u7684\u60c5\u51b5\u5e76\u4e0d\u662f\u4ee5if\u5f15\u5bfc\u7684\u6761\u4ef6\u4ece\u53e5\u5f62\u5f0f\u51fa\u73b0,\u800c\u662f\u901a\u8fc7\u4e00\u4e9b\u77ed\u8bed\u7b49\u5f62\u5f0f\u6697\u793a\u865a\u62df\u8bed\u6c14\u7684\u5b58\u5728,\u5e38\u7528\u7684\u8bcd\u8bed\u6709with, without, but for, otherwise, or,even, in case of, what if(\u5982\u679c\u2026\u5c06\u5982\u4f55)\u7b49\u7b49,\u8fd9\u79cd\u53e5\u5b50\u5f80\u5f80\u6709\u4e3b\u53e5\u800c\u65e0\u4ece\u53e5\u3002\u7531\u201ctoday\u201d\u53ef\u77e5,\u8868\u793a\u7684\u662f\u4e0e\u73b0\u5728\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe,\u6240\u4ee5\u4e3b\u8bed\u4ece\u53e5\u8c13\u8bed\u5f62\u5f0f\u4e3awould be\u3002\u6545A\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHow I wish I to repair the watch! I only made it worse. A. had tried B. hadn't tried C. have tried D. didn't try\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u865a\u62df\u8bed\u6c14\u3002\u53e5\u610f:\u6211\u591a\u4e48\u5e0c\u671b\u6211\u6ca1\u6709\u53bb\u4fee\u7406\u90a3\u5757\u8868!\u6211\u53ea\u8ba9\u4e8b\u60c5\u53d8\u5f97\u66f4\u7cdf\u4e86\u3002\u52a8\u8bcdwish\u540e\u63a5\u5bbe\u8bed\u4ece\u53e5\u65f6,\u4ece\u53e5\u8c13\u8bed\u8981\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aYou can use this room for your club activities tomorrow _ you keep it tidy and clean. A. for fear that B. on condition that C. in case D. even if\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u56fa\u5b9a\u77ed\u8bed\u8fa8\u6790\u3002\u53e5\u610f:\u5982\u679c\u4f60\u4fdd\u6301\u623f\u95f4\u6574\u6d01,\u660e\u5929\u4f60\u53ef\u4ee5\u7528\u8fd9\u4e2a\u623f\u95f4\u8fdb\u884c\u4ff1\u4e50\u90e8\u6d3b\u52a8\u3002\u9898\u5e72\u4e2d\u8868\u793a\u201c\u5982\u679c\u2026\u201d,A. for fear that\u552f\u6050;B. on condition that\u5982\u679c;C. in case\u4e07\u4e00;D. even if\u5373\u4f7f,\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aYou can\u2019t imagine what great difficulty they had _ the old man to move out of the old house. A. persuaded B. to persuade C. with persuading D. persuading\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u56fa\u5b9a\u53e5\u578b\u3002\u53e5\u610f:\u4f60\u65e0\u6cd5\u60f3\u8c61\u4ed6\u4eec\u8bf4\u670d\u8001\u4eba\u642c\u51fa\u90a3\u6240\u65e7\u623f\u5b50\u6709\u591a\u5927\u7684\u56f0\u96be\u3002have difficulty (in) doing sth.\u505a\u67d0\u4e8b\u6709\u56f0\u96be,\u8be5\u53e5\u578b\u662f\u56fa\u5b9a\u53e5\u578b,\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aNever _ forget that poem and the inspiration _ provided for my first novel. A. can I; which B. will I; that C. shall I; it D. must I; what\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u60c5\u6001\u52a8\u8bcd\u548c\u5b9a\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u6211\u6c38\u8fdc\u4e0d\u4f1a\u5fd8\u8bb0\u90a3\u9996\u8bd7\u548c\u5b83\u4e3a\u6211\u7684\u7b2c\u4e00\u90e8\u5c0f\u8bf4\u63d0\u4f9b\u7684\u7075\u611f\u3002Can\u8868\u793a\u80fd\u591f;will \u8868\u793a\u5c06\u8981;shall \u7528\u4e8e\u7b2c\u4e00\u4eba\u79f0,\u5219\u8868\u793a\u51b3\u5fc3;must \u5fc5\u987b,\u6545\u7b2c\u4e00\u4e2a\u7a7a\u7528shall\u3002inspiration\u540e\u9762\u662f\u5b9a\u8bed\u4ece\u53e5,\u5173\u7cfb\u4ee3\u8bcd\u7701\u7565,\u5b9a\u8bed\u4ece\u53e5\u8fd8\u7f3a\u5c11\u4e3b\u8bedthe poem,\u7528it\u7279\u6307\u524d\u9762\u7684that poem,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\ufffd\n######################\nOutput:"}}
diff --git a/indexing/output/20240819-155009/artifacts/create_base_text_units.parquet b/indexing/output/20240819-155009/artifacts/create_base_text_units.parquet
new file mode 100644
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@@ -0,0 +1,3 @@
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+size 620940
diff --git a/indexing/output/20240819-155009/artifacts/stats.json b/indexing/output/20240819-155009/artifacts/stats.json
new file mode 100644
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+{
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+    "workflows": {
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+}
\ No newline at end of file
diff --git a/indexing/output/20240819-155009/reports/indexing-engine.log b/indexing/output/20240819-155009/reports/indexing-engine.log
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index 0000000000000000000000000000000000000000..792df8b49ed2374ac7eb48a53af6ae5ab6efa721
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+15:50:09,620 graphrag.config.read_dotenv INFO Loading pipeline .env file
+15:50:09,624 graphrag.index.cli INFO using default configuration: {
+    "llm": {
+        "api_key": "REDACTED, length 5",
+        "type": "openai_chat",
+        "model": "qwen2:0.5b",
+        "max_tokens": 8192,
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+        "top_p": 1.0,
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+        "api_version": null,
+        "proxy": null,
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+        "model_supports_json": true,
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+        "max_retries": 3,
+        "max_retry_wait": 10.0,
+        "sleep_on_rate_limit_recommendation": true,
+        "concurrent_requests": 25
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+    "parallelization": {
+        "stagger": 0.3,
+        "num_threads": 50
+    },
+    "async_mode": "threaded",
+    "root_dir": "./indexing",
+    "reporting": {
+        "type": "file",
+        "base_dir": "output/${timestamp}/reports",
+        "storage_account_blob_url": null
+    },
+    "storage": {
+        "type": "file",
+        "base_dir": "output/${timestamp}/artifacts",
+        "storage_account_blob_url": null
+    },
+    "cache": {
+        "type": "file",
+        "base_dir": "cache",
+        "storage_account_blob_url": null
+    },
+    "input": {
+        "type": "file",
+        "file_type": "text",
+        "base_dir": "input",
+        "storage_account_blob_url": null,
+        "encoding": "utf-8",
+        "file_pattern": ".*\\.txt$",
+        "file_filter": null,
+        "source_column": null,
+        "timestamp_column": null,
+        "timestamp_format": null,
+        "text_column": "text",
+        "title_column": null,
+        "document_attribute_columns": []
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+    "embed_graph": {
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+        "num_walks": 10,
+        "walk_length": 40,
+        "window_size": 2,
+        "iterations": 3,
+        "random_seed": 597832,
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+    "embeddings": {
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+            "api_key": "REDACTED, length 5",
+            "type": "openai_embedding",
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+            "temperature": 0,
+            "top_p": 1,
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+            "request_timeout": 180.0,
+            "api_base": "http://localhost:11435",
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+            "concurrent_requests": 25
+        },
+        "parallelization": {
+            "stagger": 0.3,
+            "num_threads": 50
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+        "async_mode": "threaded",
+        "batch_size": 16,
+        "batch_max_tokens": 8191,
+        "target": "required",
+        "skip": [],
+        "vector_store": null,
+        "strategy": null
+    },
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+        "size": 512,
+        "overlap": 64,
+        "group_by_columns": [
+            "id"
+        ],
+        "strategy": null
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+    "snapshots": {
+        "graphml": false,
+        "raw_entities": false,
+        "top_level_nodes": false
+    },
+    "entity_extraction": {
+        "llm": {
+            "api_key": "REDACTED, length 5",
+            "type": "openai_chat",
+            "model": "qwen2:0.5b",
+            "max_tokens": 8192,
+            "temperature": 0.0,
+            "top_p": 1.0,
+            "n": 1,
+            "request_timeout": 180.0,
+            "api_base": "http://localhost:11434/v1",
+            "api_version": null,
+            "proxy": null,
+            "cognitive_services_endpoint": null,
+            "deployment_name": null,
+            "model_supports_json": true,
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+            "max_retries": 3,
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+            "sleep_on_rate_limit_recommendation": true,
+            "concurrent_requests": 25
+        },
+        "parallelization": {
+            "stagger": 0.3,
+            "num_threads": 50
+        },
+        "async_mode": "threaded",
+        "prompt": "prompts/entity_extraction.txt",
+        "entity_types": [
+            "organization",
+            "person",
+            "geo",
+            "event"
+        ],
+        "max_gleanings": 1,
+        "strategy": null
+    },
+    "summarize_descriptions": {
+        "llm": {
+            "api_key": "REDACTED, length 5",
+            "type": "openai_chat",
+            "model": "qwen2:0.5b",
+            "max_tokens": 8192,
+            "temperature": 0.0,
+            "top_p": 1.0,
+            "n": 1,
+            "request_timeout": 180.0,
+            "api_base": "http://localhost:11434/v1",
+            "api_version": null,
+            "proxy": null,
+            "cognitive_services_endpoint": null,
+            "deployment_name": null,
+            "model_supports_json": true,
+            "tokens_per_minute": 0,
+            "requests_per_minute": 0,
+            "max_retries": 3,
+            "max_retry_wait": 10.0,
+            "sleep_on_rate_limit_recommendation": true,
+            "concurrent_requests": 25
+        },
+        "parallelization": {
+            "stagger": 0.3,
+            "num_threads": 50
+        },
+        "async_mode": "threaded",
+        "prompt": "prompts/summarize_descriptions.txt",
+        "max_length": 500,
+        "strategy": null
+    },
+    "community_reports": {
+        "llm": {
+            "api_key": "REDACTED, length 5",
+            "type": "openai_chat",
+            "model": "qwen2:0.5b",
+            "max_tokens": 8192,
+            "temperature": 0.0,
+            "top_p": 1.0,
+            "n": 1,
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+            "api_base": "http://localhost:11434/v1",
+            "api_version": null,
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+        "parallelization": {
+            "stagger": 0.3,
+            "num_threads": 50
+        },
+        "async_mode": "threaded",
+        "prompt": "prompts/community_report.txt",
+        "max_length": 2000,
+        "max_input_length": 4000,
+        "strategy": null
+    },
+    "claim_extraction": {
+        "llm": {
+            "api_key": "REDACTED, length 5",
+            "type": "openai_chat",
+            "model": "qwen2:0.5b",
+            "max_tokens": 8192,
+            "temperature": 0.0,
+            "top_p": 1.0,
+            "n": 1,
+            "request_timeout": 180.0,
+            "api_base": "http://localhost:11434/v1",
+            "api_version": null,
+            "proxy": null,
+            "cognitive_services_endpoint": null,
+            "deployment_name": null,
+            "model_supports_json": true,
+            "tokens_per_minute": 0,
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+            "max_retries": 3,
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+            "sleep_on_rate_limit_recommendation": true,
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+        },
+        "parallelization": {
+            "stagger": 0.3,
+            "num_threads": 50
+        },
+        "async_mode": "threaded",
+        "enabled": false,
+        "prompt": "prompts/claim_extraction.txt",
+        "description": "Any claims or facts that could be relevant to information discovery.",
+        "max_gleanings": 1,
+        "strategy": null
+    },
+    "cluster_graph": {
+        "max_cluster_size": 10,
+        "strategy": null
+    },
+    "umap": {
+        "enabled": false
+    },
+    "local_search": {
+        "text_unit_prop": 0.5,
+        "community_prop": 0.1,
+        "conversation_history_max_turns": 5,
+        "top_k_entities": 10,
+        "top_k_relationships": 10,
+        "temperature": 0.0,
+        "top_p": 1.0,
+        "n": 1,
+        "max_tokens": 12000,
+        "llm_max_tokens": 2000
+    },
+    "global_search": {
+        "temperature": 0.0,
+        "top_p": 1.0,
+        "n": 1,
+        "max_tokens": 12000,
+        "data_max_tokens": 12000,
+        "map_max_tokens": 1000,
+        "reduce_max_tokens": 2000,
+        "concurrency": 32
+    },
+    "encoding_model": "cl100k_base",
+    "skip_workflows": []
+}
+15:50:09,626 graphrag.index.create_pipeline_config INFO skipping workflows 
+15:50:09,631 graphrag.index.run INFO Running pipeline
+15:50:09,631 graphrag.index.storage.file_pipeline_storage INFO Creating file storage at indexing/output/20240819-155009/artifacts
+15:50:09,631 graphrag.index.input.load_input INFO loading input from root_dir=input
+15:50:09,631 graphrag.index.input.load_input INFO using file storage for input
+15:50:09,631 graphrag.index.storage.file_pipeline_storage INFO search indexing/input for files matching .*\.txt$
+15:50:09,632 graphrag.index.input.text INFO found text files from input, found [('ai-answer-train-set-28-2803-2000.txt', {})]
+15:50:09,636 graphrag.index.input.text INFO Found 1 files, loading 1
+15:50:09,637 graphrag.index.workflows.load INFO Workflow Run Order: ['create_base_text_units', 'create_base_extracted_entities', 'create_summarized_entities', 'create_base_entity_graph', 'create_final_entities', 'create_final_nodes', 'create_final_communities', 'join_text_units_to_entity_ids', 'create_final_relationships', 'join_text_units_to_relationship_ids', 'create_final_community_reports', 'create_final_text_units', 'create_base_documents', 'create_final_documents']
+15:50:09,637 graphrag.index.run INFO Final # of rows loaded: 1
+15:50:09,725 graphrag.index.run INFO Running workflow: create_base_text_units...
+15:50:09,726 graphrag.index.run INFO dependencies for create_base_text_units: []
+15:50:09,726 datashaper.workflow.workflow INFO executing verb orderby
+15:50:09,726 datashaper.workflow.workflow INFO executing verb zip
+15:50:09,727 datashaper.workflow.workflow INFO executing verb aggregate_override
+15:50:09,729 datashaper.workflow.workflow INFO executing verb chunk
+15:50:09,989 datashaper.workflow.workflow INFO executing verb select
+15:50:09,989 datashaper.workflow.workflow INFO executing verb unroll
+15:50:09,990 datashaper.workflow.workflow INFO executing verb rename
+15:50:09,990 datashaper.workflow.workflow INFO executing verb genid
+15:50:10,1 datashaper.workflow.workflow INFO executing verb unzip
+15:50:10,1 datashaper.workflow.workflow INFO executing verb copy
+15:50:10,1 datashaper.workflow.workflow INFO executing verb filter
+15:50:10,7 graphrag.index.emit.parquet_table_emitter INFO emitting parquet table create_base_text_units.parquet
+15:50:10,104 graphrag.index.run INFO Running workflow: create_base_extracted_entities...
+15:50:10,104 graphrag.index.run INFO dependencies for create_base_extracted_entities: ['create_base_text_units']
+15:50:10,104 graphrag.index.run INFO read table from storage: create_base_text_units.parquet
+15:50:10,110 datashaper.workflow.workflow INFO executing verb entity_extract
+15:50:10,128 graphrag.llm.openai.create_openai_client INFO Creating OpenAI client base_url=http://localhost:11434/v1
+15:50:10,141 graphrag.index.llm.load_llm INFO create TPM/RPM limiter for qwen2:0.5b: TPM=0, RPM=0
+15:50:10,142 graphrag.index.llm.load_llm INFO create concurrency limiter for qwen2:0.5b: 25
+15:53:10,320 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 【题干】：China Daily is _a newspaper, for it also can serve as a useful textbook for English study. A. more than B. more or less C. less than D. no more than\n【答案】：A\n【解析】：【详解】考查词组。A. more than超过,不仅仅是;B. more or less或多或少;C. less than少于; D. no more than仅仅。句意:中国日报不仅是一份报纸,它还可以帮我们提高英语水平。more than后接名词表示“不仅仅是”。故选A。。\n\n\n【题干】：Due to frequent layoffs, there is anxiety among the employees _ they may one day be out of work. A. when B. how C. why D. that\n【答案】：D\n【解析】：【详解】考查连词。A. when当……的时候;B. how如何,怎么;C. why为什么;D. that(引导名词性从句,不做句子成分,只起连接作用)。句意:由于频繁的裁员,员工们担心有一天会失业。根据句意及句子结构分析可知,此处为anxiety的同位语从句,从句句子成分齐全,应使用that引导。故D选项正确。【点睛】that引导同位语从句和定语从句的区别: 1)从句法角度来看,引导同位语从句的连词that只起连接作用,在从句中不作任何成分,但不可以省略;而引导定语从句的关系代词that除了连接主句和从句之外,在从句中作一定成分,有时可省略。 Along with the letter was his promise that he would visit me this coming Christmas.随信一起来的是他\n######################\nOutput:'}
+15:53:10,322 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: �的关系代词that除了连接主句和从句之外,在从句中作一定成分,有时可省略。 Along with the letter was his promise that he would visit me this coming Christmas.随信一起来的是他的承诺,他说会在即将到来的圣诞节来看我。(同位语从句中的that不做任何成分) The suggestion (that) he made at the meeting was very right.他在会议上给出的建议是正确的。(此定语从句中的that在从句中作宾语,可以省略) 2)从语义角度来看,同位语从句that引导的从句在句中解释说明前面的名词,而定语从句中that引导的从句则是起到修饰限定先行词的作用。 The news that we are having a holiday tomorrow is not true.明天放假的消息不实。(that引导的从句说明news的内容) He lost his money that had been saved for a long time.他丢了存了很久的钱。(that引导的定语从句,修饰限定先行词money)。\n\n\n【题干】：Nowadays many parents tend to be tolerant _ their children’s choices of majors at university. A. as a consequence of B. regardless of C. in regard to D. at the mercy of\n【答案】：C\n【解析】：【详解】考查介词词组辨析。A. as a consequence of结果;B. regardless of不管;C. in regard to关于;D. at the mercy of支配。句意:如今,许多父母对子女选择大学专业持宽容态度。故C选项正确。。\n\n\n【题干】：Mary worked here as a _ secretary and ended up _ a full-time job with the company. A. admirable; getting B. temporary; getting C. previous; to get D. cautious; to get\n【答案】：B\n######################\nOutput:'}
+15:53:10,323 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: make a forest独木不成林;B. Where there’s life, there’s hope有生命就有希望;C. One false step will make a great difference失之毫厘,谬之千里;D. Never put off till tomorrow what you can do today今日事,今日毕。由语境I told you to be careful before.可知,答案为C。故C选项正确。.。\n\n\n【题干】：Much to my _, my vocabulary has expanded a great deal. A. delighting B. delighted C. delight\n【答案】：C\n【解析】：【详解】考查固定用法。句意:令我高兴的是,我的词汇量大大增加了。“much to +名词”为固定用法,意为“使某人……”,因此本小题要用名词形式。分析选项:delighting 感到高兴的,一般修饰物;delighted高兴的; 欣喜的,一般修饰人;delight快乐,高兴。由选项可知,A与B都是形容词,只有C是名词,符合题意,故选C。。\n\n\n【题干】：The book _ through the air to Aunt Dede and she began to read it aloud. A. got B. pushed C. sailed\n【答案】：C\n【解析】：【详解】考查动词辨析。got得到;pushed推;sailed掠,飘,浮游。分析语境可知,本句是指“那本书在空中传到(飘向)黛德姑妈那,她(拿过书)开始大声朗读”。故选C。。\n\n\n【题干】：He has been sent to the place _ needs him most. A. where B. that C. what D. it\n【答案】：B\n【解析】：【详解】考查定语从句。\n######################\nOutput:'}
+15:53:10,324 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 时。 This is the best hotel in the city that I know. 这是我所知道的城市里最好的旅馆。(best 为最高级) 4.序数词修饰先行词时。 The first time that they meet together was yesterday. 他们第一次遇见是在昨天。(first 的出现) 5当the only,the very出现时。 Before he falls in love Amanda, the only thing that he cared is himself. 在他爱上Amanda之前,他唯一在意的是他自己。。\n\n\n【题干】：We were _ on our way to the airport because of the heavy snow. A. held up B. held out C. held back D. held with\n【答案】：A\n【解析】：【详解】考查动词短语辨析。A. held up举起,支撑;阻挡;延误;B. held out伸出,坚持;C. held back阻碍,隐藏,克制;D. held with赞成;句意:因为大雪,我们被延误在去机场的路上。根据句意可知A项正确。。\n\n\n【题干】：There is little doubt _ the Internet is a great inventionin human history. A. whether B. that C. which D. what\n【答案】：B\n【解析】：【详解】考查同位语从句。句意:毫无疑问,在人类历史上因特网是一项伟大的发明。句中同位语从句that the Internet is a great invention in human history对名词短语little doubt进行解释说明,that在句中不充当任何成分,只是一个引导词。故B项正确。【点睛】本题考查了同位语从句,同位语是对前面的名词的解释说明,当同位语部分是个句子的时候,就是同位语从句,这\n######################\nOutput:'}
+15:53:10,324 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 。故C选项正确。。\n\n\n【题干】：Mary worked here as a _ secretary and ended up _ a full-time job with the company. A. admirable; getting B. temporary; getting C. previous; to get D. cautious; to get\n【答案】：B\n【解析】：【详解】考查形容词及固定搭配。A. admirable令人羡慕的;B. temporary临时的;C. previous先前的;D. cautious谨慎的。句意:玛丽作为一个临时秘书在这里工作,最终在这家公司得到一份全职工作。固定搭配:end up doing sth. “最终做某事”。故B选项正确。。\n\n\n【题干】：It was obvious that there was _ between accounts of the witnesses for the murder case, so the judgment was not announced in court. A. security B. relation C. conflict D. revision\n【答案】：C\n【解析】：【详解】考查名词辨析。A. security安全;B. relation关系;C. conflict冲突;D. revision复习。句意:很明显,谋杀案目击者的叙述有冲突,所以法庭没有宣布判决。故C选项正确。。\n\n\n【题干】：— Tom, what a pity! I almost succeeded yesterday. —_. I told you to be careful before. A. One tree does not make a forest B. Where there’s life, there’s hope C. One false step will make a great difference D. Never put off till tomorrow what you can do today\n【答案】：C\n【解析】：【详解】考查谚语辨析。A. One tree does not make a forest独木不成林;B. Where there’s life, there’s hope有生命就有希望;C. One false step will make a great difference失之毫厘,谬之千里;D. Never put off till tomorrow what\n######################\nOutput:'}
+15:53:10,325 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: several months and it made farmers _ about the harvest. A. astonished B. anxious C. eager D. busy\n【答案】：B\n【解析】：【详解】考查形容词辨析。句意:干旱已经持续了几个月,农民们对收成感到焦虑。A. astonished惊讶的;B. anxious焦虑的;C. eager渴望的;D. busy繁忙的。be anxious about“对……感到焦虑”,干旱会影响收成,农民们自然会感到焦虑,故B选项正确。。\n\n\n【题干】：The atmosphere gets thinner and thinner _ the height increases. A. while B. since C. as D. for\n【答案】：C\n【解析】：【详解】考查连词辨析。句意:随着高度的增加,大气变得越来越稀薄。A. while当……时;B. since自从……以来;C. as随着……;D. for因为。这里表示伴随,故C选项正确。。\n\n\n【题干】：By the time he was 4 years old, he _ 100 English words. A. learns B. will have learned C. has learned D. had learned\n【答案】：D\n【解析】：【详解】考查过去完成时。句意:到他4岁的时候,他已经学会了100个英语单词。by the time引导的时间状语从句,从句过去时,主句用过去完成时。故D选项正确。【点睛】by the time意为“到……时候(为止)”,是一个介词短语,在句中经常起连词作用,引导时间状语从句。它的主要用法如下: 1. 如果从句中的谓语动词是一般过\n######################\nOutput:'}
+15:53:10,326 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: ”,是一个介词短语,在句中经常起连词作用,引导时间状语从句。它的主要用法如下: 1. 如果从句中的谓语动词是一般过去时,那么主句中的谓语动词通常用过去完成时,表示“截止到从句动作发生时,主句动作已经完成,即过去的过去”。 2. 如果从句中的谓语动词为一般现在时(表示将来),那么主句中的谓语动词常为将来完成时,表示“截止到将来某一时间为止,主句动作将已经完成”。 3. 如果主句动作不强调已经完成,只是说明过去某个时候的状况,此时主句不用完成时,而应根据实际需要选用适当的时态,此时by the time相当于when。 本句符合第一点用法,故D选项正确。。\n\n\n【题干】：It was the middle of the night _ my father woke me up and told me to watch the football game. A. that B. when C. since D. which\n【答案】：B\n【解析】：【详解】考查连词。句意:那是半夜,父亲把我叫醒,叫我看足球赛。本句是when引导的时间状语从句,故B选项正确。本句不是强调句,如果把It was去掉,句子并不成立,the middle of the night前缺少介词。。\n\n\n【题干】：-Madam, if you like I can give you a lift to the downtown area. - That’s a very kind _. A. service B. offer C. promise D. choice\n【答案】：B\n【解析】：【详解】名词\n######################\nOutput:'}
+15:53:10,326 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 【题干】：-Madam, if you like I can give you a lift to the downtown area. - That’s a very kind _. A. service B. offer C. promise D. choice\n【答案】：B\n【解析】：【详解】名词辨析。A. service服务; B. offer提议; C. promise许诺; D. choice选择。句意:—夫人,如果您愿意,我可以载您到市中心。—这是一个非常好的提议。结合句意可知答案为B。。\n\n\n【题干】：- Have you ever been to Provence which is home to lavender(薰衣草) in Paris? - Yes, only once. I _ there for a week. A. had stayed B. were staying C. have stayed D. stayed\n【答案】：D\n【解析】：【详解】考查时态。句意:—你去过巴黎薰衣草的故乡普罗旺斯吗?—是的,只有一次。我在那里呆了一个星期。此处是指过去发生的一件事,与现在无关,所以用一般过去时态,故答案为D。。\n\n\n【题干】：Due to the frequent school shootings, the only way the president could imagine _ such tragedies was to ban guns across the US. A. preventing B. prevented C. to prevent D. having prevented\n【答案】：C\n【解析】：【详解】考查动词不定式作后置定语。句意:由于校园枪击案频发,总统能想到的防止此类悲剧发生的唯一办法就是在全美范围内禁止枪支。此处是动词不定式作后置定语,故选C。。\n\n\n【题干】：My computer _ start this morning. There must have been something wrong with it. A. wouldn’t B. shouldn’t C. couldn’t D.\n######################\nOutput:'}
+15:53:10,327 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: �B项正确。【点睛】本题考查了同位语从句,同位语是对前面的名词的解释说明,当同位语部分是个句子的时候,就是同位语从句,这种用法比较"固定" 一、在复合句中用作同位语的从句叫同位语从句。它一般跟在某些名词后面,用以说明该名词表示的具体内容。 I heard the news that our team had won. 我听到了我们队获胜的消息。 二、可以跟同位语从句的名词通常有news,idea,fact,promise,question,doubt,thought,hope,message,suggestion,words(消息),possibility, decision等(一般的“抽象”名词都可用)。 I’ve come from Mr. wang with a message that he won’t be able to see you this afternoon. 我从王先生那里来,他让我告诉你他今天下午不能来看你了。 三、英语中引导同位语从句的词通常有连词that,whether,连接代词what,who。连接副词how, when, where等。(注:if不能引导同位语从句。) He must answer the question whether he agrees with it or not. 他必须回答他是否同意这样一个问题。 四、有时同位语从句可以不紧跟在说明的名词后面,而被别的词隔开。 The thought came to him that maybe the enemy had fled the city. 他突然想起敌人可能已经逃出城了。。\n\n\n【题干】：The drought had lasted several months and it made farmers _ about the harvest. A. astonished B. anxious C. eager D. busy\n【答案】：B\n【解析】：【详解】考查形容词辨析。句意:干旱已经持续\n######################\nOutput:'}
+15:53:10,327 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 读”。故选C。。\n\n\n【题干】：He has been sent to the place _ needs him most. A. where B. that C. what D. it\n【答案】：B\n【解析】：【详解】考查定语从句。句意:他已经被派到最需要他的地方了。本题定语从句的先行词是the place,定语从句中缺少主语,要用关系代词that指代先行词,引导定语从句并在句中做主语。CD项不能引导定语从句,where要在句中做状语。故B项正确。【点睛】本题考查了关系代词that的用法,that是比较常见的关系代词,并且有的时候是只能用that。接下来就看看时候只用that的情况。 1当先行词是anything,everything,nothing,few,all,alone,little,some等指人或物的代词时。或者是有诸如every,any,all,no,much等词修饰时。 There seems to be nothing that can help you. 似乎没有任何事可以帮你。(nothing 出现) B. All that can be applied in the research have been rejected. 所有能被运用于研究的都被否决了。(all的出现) 2 当先行词既有人也有事物。 A. The talked the people and things in the bar that they remember. 他们谈论着他们记起的酒吧的人和事。(人和物的出现) 3 有形容词最高级修饰先行词时。 This is the best hotel in the city that I know. 这是我所知道的城市里最好的旅馆。(best 为最高级) 4.序数词修饰先行词时。 The first time that they meet together\n######################\nOutput:'}
+15:53:10,328 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: +其他-。由此可知A项正确。【点睛】浅谈强调句 1. 用It is/was...that/who...句型表示强调。 (1)陈述句的强调句型:It is/was+被强调部分(通常是主语、宾语或状语)+that/who(当强调主语且主语指人)+其它部分。 e.g. It was yesterday that he met Li Ping. (2)一般疑问句的强调句型:同上,只是把is/was提到it前面。 e.g. Was it yesterday that he met Li Ping? (3)特殊疑问句的强调句型:被强调部分(通常是疑问代词或疑问副词)+is/was+it+that/who+其它部分?e.g. When and where was it that you were born? 2. not...until...句型的强调句: 句型为:It is/was not until+被强调部分+that+其它部分: e.g. 普通句:He didn\'t go to bed until/till his wife came back. 强调句:It was not until his wife came back that he went to bed. 注意:此句型只用until,不用till。但如果不是强调句型,till, until可通用; 因为句型中It is/was not...已经是否定句了,that后面的从句要用肯定句,切勿再用否定句了。 3. 强调谓语动词:用助动词do, does或did加动词原形来强调谓语动词。注意:此种强调只用do/does和did,没有别的形式;过去时态用did,后面的谓语动词用原形。如:Do come early. 务必\n######################\nOutput:'}
+15:53:10,328 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: �原形来强调谓语动词。注意:此种强调只用do/does和did,没有别的形式;过去时态用did,后面的谓语动词用原形。如:Do come early. 务必早来。He did send you a letter last week. 昨天他确实寄给你一封信。。\n\n\n【题干】：Spelling Bee is a contest _ competitors, usually children, are asked to spell as many words as possible. A. which B. when C. what D. where\n【答案】：D\n【解析】：【详解】考查定语从句。句意:拼字比赛是要求参赛者,通常是孩子,拼出尽可能多的单词的比赛。此处a contest是先行词,在后面的定语从句中作地点状语,故答案为D。【点睛】分析定语从句关键抓住两点:第一、找准先行词;第二、看先行词在定语从句中所作的成分。先行词往往为名词或代词,如本题中先行词为名词a contest,再分析先行词a contest在定语从句中所作的成分,将先行词a contest带到从句中可知,只能作地点状语,故确定关系词where。。\n\n\n【题干】：He kept silent over the matter because he had no intention to risk _ in it. A. to involve B. involving C. being involved D. to be involved\n【答案】：C\n【解析】：【详解】考查非谓语动词。句意:他对这件事保持沉默,因为他不想冒险卷入其中。固定搭配:risk doing sth.“冒险做某事”,且句子主语he和involve之间\n######################\nOutput:'}
+15:53:10,329 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 选B。。\n\n\n【题干】：I can’t stay out overnight without my parents’_. A. obedience B. privacy C. affection D. approval\n【答案】：D\n【解析】：【详解】考查名词词义辨析。句意:没有父母的同意,我不能在外面过夜。A. obedience服从;B. privacy隐私;C. affection影响;D. approval同意。故选D。。\n\n\n【题干】：Scientists have made a major _ in the treatment of cancer. A. barrier B. breakthrough C. companion D. concern\n【答案】：B\n【解析】：【详解】考查名词词义辨析。句意:科学家在癌症治疗方面取得了重大突破。A. barrier障碍物;B. breakthrough突破;C. companion 同伴;D. concern关心。短语make a breakthrough突破。故选B。。\n\n\n【题干】：According to Professor Smith, the best approach _ a foreign language is to study the spoken language. A. to learn B. to learning C. of learning D. on learning\n【答案】：B\n【解析】：【详解】考查固定搭配。句意:史密斯教授认为,学习外语的最好方法是学习口语。the approach to doing sth.“做某事的方法”,此处to是介词,后面用动名词作表语,故选B。。\n\n\n【题干】：Hey, you _ at the computer all day. You should really take a break now. A. have been sitting B. were sitting C. did sit D. are sitting\n【答案】：A\n【解析】：【详解】考查现在完成进行时态。句意:嘿,你整天都坐在电脑前。你现在真的应该休息一下。结合句意可知句子用\n######################\nOutput:'}
+15:53:10,330 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 禁止枪支。此处是动词不定式作后置定语,故选C。。\n\n\n【题干】：My computer _ start this morning. There must have been something wrong with it. A. wouldn’t B. shouldn’t C. couldn’t D. mustn’t\n【答案】：A\n【解析】：【详解】考查情态动词。句意:我的电脑今早启动不了。一定是出了什么问题。A. wouldn’t 不会; B. shouldn’t不应该; C. couldn’t 不能; D. mustn’t禁止,不允许。此处would表示过去的习惯或反复性的动作。故选A。。\n\n\n【题干】：- Come on, Henry. You can also enjoy as healthy a life as I _ if you can… - Are you advising me to run every morning? A. will live B. lived C. am living D. had lived\n【答案】：C\n【解析】：【详解】考查时态。句意:—快点,亨利。你也可以像我一样享受健康的生活,如果你可以……。—你是建议我每天早上跑步吗?结合句意可知此处用现在进行时态,故答案为C。。\n\n\n【题干】：It was at midnight _ we arrived at the airport, resulting from the heavy fog. A. that B. before C. since D. now that\n【答案】：A\n【解析】：【详解】考查强调句式。句意:由于大雾,我们是在午夜到达机场的。此处时强调句式,强调时间状语,It is +强调部分+that+其他-。由此可知A项正确。【点睛】浅谈强调句 1. 用It is/was...that/who...句型表示强调。 (1)陈述句的强调句型:\n######################\nOutput:'}
+15:53:10,330 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: . cures治疗;B. residents居民;C. budgets预算;D. species种类。故选D。。\n\n\n【题干】：Mr. Painter wanted to design a new system to _ the water in his garden in heavy rains. A. retreat B. drain C. tremble D. shrink\n【答案】：B\n【解析】：【详解】考查动词词义辨析。句意:Painter先生想设计一种新的系统,在下大雨时来给他的花园里排水。A. retreat撤退;B. drain排出;C. tremble发抖;D. shrink退缩。故选B。。\n\n\n【题干】：The family wrote a letter to the organization to express their _ for help. A. faith B. appeal C. relief D. sight\n【答案】：B\n【解析】：【详解】考查名词词义辨析。句意:这家人写了一封信给该组织表达他们需要援助的恳求。A. faith信仰;B. appeal恳求;C. relief减轻;D. sight视力。故选B。。\n\n\n【题干】：Winning this game is _ to the team, for the result will decide whether it can defend its championship. A. contemporary B. crucial C. complicated D. constant\n【答案】：B\n【解析】：【详解】考查形容词词义辨析。句意:赢得这场比赛对球队至关重要,因为结果将决定它能否卫冕冠军。A. contemporary当代的;B. crucial决定性的;C. complicated复杂难懂的;D. constant经常的。故选B。。\n\n\n【题干】：I can’t stay out overnight without my parents’_. A. obedience B. privacy C. affection D. approval\n【答案】：D\n【解析】：【详解】考查名词词义辨析。�\n######################\nOutput:'}
+15:53:10,331 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: :他对这件事保持沉默,因为他不想冒险卷入其中。固定搭配:risk doing sth.“冒险做某事”,且句子主语he和involve之间是一种被动关系,所以这里要用动名词一般式的被动式,故选C。。\n\n\n【题干】：_in voluntary work makes him feel happy and fulfilled. A. Participate B. Participated C. Participating D. Having participated\n【答案】：C\n【解析】：【详解】考查非谓语动词。句意:参与志愿工作使他感到快乐和满足。分析句子可知,句中缺少主语,故用动名词短语作主语。故选C。。\n\n\n【题干】：The doctor tried to _ me that my mother would be fine. A. whistle B. emerge C. reassure D. bend\n【答案】：C\n【解析】：【详解】考查动词词义辨析。句意:医生试图让我放心,我的母亲会好的。A. whistle吹口哨;B. emerge浮现;C. reassure使……安心;D. bend弯曲。故选C。。\n\n\n【题干】：New Zealand is home to around 16,000 bird _,double the number in all Europe. A. cures B. residents C. budgets D. species\n【答案】：D\n【解析】：【详解】考查名词词义辨析。句意:新西兰拥有大约16,000种鸟类,是欧洲总数的两倍。A. cures治疗;B. residents居民;C. budgets预算;D. species种类。故选D。。\n\n\n【题干】：Mr. Painter wanted to design a new system to _ the water in his garden in heavy rains. A. retreat B.\n######################\nOutput:'}
+15:53:10,331 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 【解析】：【详解】考查现在完成进行时态。句意:嘿,你整天都坐在电脑前。你现在真的应该休息一下。结合句意可知句子用现在完成进行时态,故选A。。\n\n\n【题干】：Over the last three decades, the number of people participating in physical fitness programs _ sharply. A. was increasing B. has increased C. had increased D. will be increasing\n【答案】：B\n【解析】：【详解】考查时态。句意:在过去的三十年里,参加健身计划的人数急剧增加。Over the last three decades“在最近的30年里”和现在完成时态连用,故选B。。\n\n\n【题干】：Well, if Father’s job means that we have to move away from our house and the sliding banister and my three best friends for life, then I think Father should _ about his job, don’t you? A. have big things in mind B. let the matters drop C. stretch out D. think twice\n【答案】：D\n【解析】：【详解】考查动词词组辨析。A. have big things in mind胸怀大志;B. let the matters drop让事情过去吧;C. stretch out展开;D. think twice三思而后行。句意:好吧,如果父亲的工作意味着我们必须离开我们的房子、滑动的楼梯扶手和我的三个最好的朋友,那么我认为父亲应该三思而后行,不是吗?故D选项正确。。\n\n\n【题干】：There was a plaque _ the top of the bench but she couldn\'t read the inscription from this distance. A. secured on B. tangled in C. applied to D. attached to\n【答案】：D\n【解析】：【详解】考查动词词组辨析。A. secured on\n######################\nOutput:'}
+15:53:10,332 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: of the bench but she couldn\'t read the inscription from this distance. A. secured on B. tangled in C. applied to D. attached to\n【答案】：D\n【解析】：【详解】考查动词词组辨析。A. secured on保证;B. tangled in纠缠;C. applied to申请;D. attached to附属于。句意:长凳顶上挂着一块牌匾,但她隔着这么远看不清上面的铭文。故D选项正确。。\n\n\n【题干】：Instead the ground was made of a sand-like substance, and as far as she could _ there was nothing but low huts and large square buildings dotted around and one or two smoke stacks in the distance. A. make sense B. make out C. make the best D. make it clear\n【答案】：B\n【解析】：【详解】考查动词词组辨析。A. make sense说得通;B. make out辨认出;C. make the best尽力而为;D. make it clear明确表明。句意:相反,地面是用沙子一样的东西铺成的,在她所能看到的范围内,除了低矮的小屋和四四方方的大楼房外,什么也没有,远处还有一两个烟囱。故B选项正确。【点睛】动词固定短语辨析是单项选择和完形填空中常考考点,需要大家注意积累。例如make的一些词组: make sure that确信;证实 make up 弥补;组成;化妆;整理 make full use of 充分利用 make up for 补偿,弥补 make a difference 有影响,有关系 make good use of 充分利用;很好地使用 make out 理解;辨认出;说明;填写;设法应付\n######################\nOutput:'}
+15:53:10,333 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: �分利用 make up for 补偿,弥补 make a difference 有影响,有关系 make good use of 充分利用;很好地使用 make out 理解;辨认出;说明;填写;设法应付 make for 导致;有助于;走向 make it possible 使它变成可能 make a living 谋生,维持生活 make decision 作决定;下决心。\n\n\n【题干】：She just got on with her job, _ the furniture, washing the clothes, helping with the shopping and the cooking, sometimes taking him to school and collecting him again, although that had been more common when Bruno was eight; when he turned nine he decided he was old enough to make his way- there and home alone. A. polishing B. discarding C. resisting D. irritating\n【答案】：A\n【解析】：【详解】考查动词辨析。A. polishing抛光;B. discarding丢弃;C. resisting抵制;D. irritating刺激。句意:她只是继续她的工作,擦亮家具、洗衣服、帮忙买东西和做饭,有时带他去学校、再接他,尽管在布鲁诺8岁的时候这种情况更常见;当他九岁的时候,他觉得自己已经足够大了,可以自己走自己的路了——去那里,然后独自回家。故A选项正确。。\n\n\n【题干】：Though _ of the danger, Mr. Brown still risked his life to save the boy in the fire. A. having told B. being told C. to be told D. told\n【答案】：D\n【解析】：【详解】考查过去分词作状语。句意:尽管被告知有危险,布朗先生仍然冒着生命\n######################\nOutput:'}
+15:53:10,333 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: D. told\n【答案】：D\n【解析】：【详解】考查过去分词作状语。句意:尽管被告知有危险,布朗先生仍然冒着生命危险去救火灾中的男孩。此处句子主语Mr. Brown和tell之间是一种被动关系,与连词Though一起引导作让步状语,故选D。。\n\n\n【题干】：He sold this car for only 2000 dollars, so the buyer got a wonderful_. A. cost B. worth C. value D. bargain\n【答案】：D\n【解析】：【详解】考查名词。A. cost费用; B. worth价值,财产; C. value价值; D. bargain交易,便宜货。句意:他以二千美元的价格把这辆车卖了,买主买得很便宜。结合句意可知答案为D。。\n\n\n【题干】：The observer’s statement about the accident was very ; we know almost everything about it now. A. specific B. especial C. particular D. special\n【答案】：A\n【解析】：【详解】考查形容词辨析。句意:旁观者关于事故的陈述非常具体;我们现在几乎对它了如指掌。A. specific 具体的; B. especial尤其的; C. particular特殊的; D. special非一般的。由“ everything ”可知,旁观者关于事故的陈述非常具体。故A选项正确。。\n\n\n【题干】：What will the world use for power when it has _ oil? A. given out of B. given out C. run out of D. run out\n【答案】：C\n【解析】：【详解】考查动词短语。句意:当石\n######################\nOutput:'}
+15:53:10,334 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 反的假设 过去时(was→were) would/could/might/should do 与将来事实相反的假设 过去时 (was→were ) ; should do; were to do would/could/might/should do 本句表示与过去事实相反的假设。主句谓语动词形式would/could/might/should have done,条件从句的谓语动词形式had done。故D选项正确。。\n\n\n【题干】：Without electricity, human life quite difficult today. A. would be B. will be C. would have been D. is\n【答案】：A\n【解析】：【详解】考查虚拟语气。句意:没有电,人类今天的生活将会相当困难。虚拟语气中的“含蓄之美”指的是含蓄虚拟语气。因为有时假设的情况并不是以if引导的条件从句形式出现,而是通过一些短语等形式暗示虚拟语气的存在,常用的词语有with, without, but for, otherwise, or,even, in case of, what if(如果…将如何)等等,这种句子往往有主句而无从句。由“today”可知,表示的是与现在事实相反的假设,所以主语从句谓语形式为would be。故A选项正确。。\n\n\n【题干】：How I wish I to repair the watch! I only made it worse. A. had tried B. hadn\'t tried C. have tried D. didn\'t try\n【答案】：B\n【解析】：【详解】考查虚拟语气。句意:我多么希望我没有去修理那块表!我只让事情变得更糟了。动词wish后接宾语从句时,从句谓语要\n######################\nOutput:'}
+15:53:10,334 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: �拟语气。句意:我多么希望我没有去修理那块表!我只让事情变得更糟了。动词wish后接宾语从句时,从句谓语要用虚拟语气若表示与过去相反的愿望,从句谓语用过去完成时。根据句意以及“made”可知,B选项正确。【点睛】wish后宾语从句用虚拟语气 动词wish后接宾语从句时,从句谓语要用虚拟语气。1.若要表示与现在事实相反的愿望,从句谓语用一般过去时;2.若表示与过去相反的愿望,从句谓语用过去完成时;3.若表示将来没有把握或不太可能实现的愿望,用would (could)+动词原形。本句符合第2点用法,故B选项正确。。\n\n\n【题干】：In recent years, in many Western countries, in the USA and the UK, Halloween has become a special occasion. A. in general B. in brief C. in short D. in particular\n【答案】：D\n【解析】：【详解】考查介词短语辨析。A. in general意为"总的说来,通常";B. in brief意为"简言之";C. in short意为"总之,简而言之";D. in particular意为"尤其,特别"。句意:近年来,在许多西方国家,尤其是在美国和英国,万圣节前夕已经成为一种特殊的场合。故D选项正确。。\n\n\n【题干】：When faced with challenges, firmly believe that holding on to your dreams and doubling your efforts will _ lead to success. A. deliberately B. eventually C. automatically D.\n######################\nOutput:'}
+15:53:10,335 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: the world use for power when it has _ oil? A. given out of B. given out C. run out of D. run out\n【答案】：C\n【解析】：【详解】考查动词短语。句意:当石油枯竭的时候,全世界将会用什么作为能源呢。(1)run out of意为“用完了”,是及物短语,表示主动意义,主语一般是人。 (2)run out意为“用完”,是不及物短语,其主语通常为时间、食物、金钱等名词。3)give out用尽,精疲力竭,为不及物短语。故C选项正确。。\n\n\n【题干】：I did not see your sister at the meeting. If she , she would have met my brother A. has come B. did come C. come D. had come\n【答案】：D\n【解析】：【详解】考查虚拟语气。句意:我没有在会上见到你妹妹。如果她来了,她会遇见我哥哥的。if 引导的虚拟条件句,与过去事实相反的假设。主句谓语动词形式would/could/might/should have done,条件从句的谓语动词形式had done。故D选项正确。【点睛】If 引导的虚拟条件句 条件从句的谓语动词形式 主句谓语动词形式 与过去事实相反的假设 had done would/could/might/should have done 与现在事实相反的假设 过去时(was→were) would/could/might/should do 与将来事实相反的假设 过去时 (was→were ) ; should do; were to do would/could/might/should do 本句表示与\n######################\nOutput:'}
+15:53:10,335 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 句意:只要你尽力而为,即使将来可能失败也不会有人指责你。A. as though仿佛;B. in case万一;C. now that既然;D. even if即使。前后是让步关系,此处应用even if引导让步状语从句。。\n\n\n【题干】：I’ve spent _ most exciting day today, for _ younger of my two sons has been admitted into the university. A. a;a B. a;the C. the;a D. the;/\n【答案】：B\n【解析】：【详解】考查冠词的用法。句意:我今天度过了非常兴奋的一天,因为我两个儿子中较小的那一个已经被大学录取。a/an + most +形容词"非常……"。而指"两个中较……的"时,常常用the + 比较级+ of the two。 故选B。。\n\n\n【题干】：They have read the paper many times, but it doesn’t make any _. A. sense B. value C. mark D. symbol\n【答案】：A\n【解析】：【详解】考查名词辨析和搭配。句意:他们已经读了这篇论文很多遍了,但是还是没有理解。sense意义;value价值;mark标志;symbol象征。make sense有意义, 理解,讲得通。根据语境可知A符合题意,故选A。。\n\n\n【题干】：Yesterday she got _, giving us no choice but to send her to the nearest hospital. A. sicker and sicker B. sick and sick C. more sicker D. less sicker\n【答案】：A\n【解析】：【详解】考查比较级。句意:昨天她的病变得越来越严重了,我们别无选择只能送她去了最\n######################\nOutput:'}
+15:53:10,336 graphrag.index.reporting.file_workflow_callbacks INFO Error Invoking LLM details={'input': '\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity\'s attributes and activities\nFormat each entity as ("entity"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as ("relationship"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor\'s authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan\'s shared commitment to discovery was an unspoken rebellion against Cruz\'s narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor\'s, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n("entity"<|>"Alex"<|>"person"<|>"Alex is a character who experiences frustration and is observant of the dynamics among other characters.")##\n("entity"<|>"Taylor"<|>"person"<|>"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.")##\n("entity"<|>"Jordan"<|>"person"<|>"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.")##\n("entity"<|>"Cruz"<|>"person"<|>"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.")##\n("entity"<|>"The Device"<|>"technology"<|>"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.")##\n("relationship"<|>"Alex"<|>"Taylor"<|>"Alex is affected by Taylor\'s authoritarian certainty and observes changes in Taylor\'s attitude towards the device."<|>7)##\n("relationship"<|>"Alex"<|>"Jordan"<|>"Alex and Jordan share a commitment to discovery, which contrasts with Cruz\'s vision."<|>6)##\n("relationship"<|>"Taylor"<|>"Jordan"<|>"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."<|>8)##\n("relationship"<|>"Jordan"<|>"Cruz"<|>"Jordan\'s commitment to discovery is in rebellion against Cruz\'s vision of control and order."<|>5)##\n("relationship"<|>"Taylor"<|>"The Device"<|>"Taylor shows reverence towards the device, indicating its importance and potential impact."<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity\'s place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer\'s latter instincts gained precedence— the team\'s mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n("entity"<|>"Washington"<|>"location"<|>"Washington is a location where communications are being received, indicating its importance in the decision-making process.")##\n("entity"<|>"Operation: Dulce"<|>"mission"<|>"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.")##\n("entity"<|>"The team"<|>"organization"<|>"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.")##\n("relationship"<|>"The team"<|>"Washington"<|>"The team receives communications from Washington, which influences their decision-making process."<|>7)##\n("relationship"<|>"The team"<|>"Operation: Dulce"<|>"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.\n\n"It\'s like it\'s learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers\' a whole new meaning."\n\nAlex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."\n\nTogether, they stood on the edge of the unknown, forging humanity\'s response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n("entity"<|>"Sam Rivera"<|>"person"<|>"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.")##\n("entity"<|>"Alex"<|>"person"<|>"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.")##\n("entity"<|>"Control"<|>"concept"<|>"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.")##\n("entity"<|>"Intelligence"<|>"concept"<|>"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.")##\n("entity"<|>"First Contact"<|>"event"<|>"First Contact is the potential initial communication between humanity and an unknown intelligence.")##\n("entity"<|>"Humanity\'s Response"<|>"event"<|>"Humanity\'s Response is the collective action taken by Alex\'s team in response to a message from an unknown intelligence.")##\n("relationship"<|>"Sam Rivera"<|>"Intelligence"<|>"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."<|>9)##\n("relationship"<|>"Alex"<|>"First Contact"<|>"Alex leads the team that might be making the First Contact with the unknown intelligence."<|>10)##\n("relationship"<|>"Alex"<|>"Humanity\'s Response"<|>"Alex and his team are the key figures in Humanity\'s Response to the unknown intelligence."<|>8)##\n("relationship"<|>"Control"<|>"Intelligence"<|>"The concept of Control is challenged by the Intelligence that writes its own rules."<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: 前夕已经成为一种特殊的场合。故D选项正确。。\n\n\n【题干】：When faced with challenges, firmly believe that holding on to your dreams and doubling your efforts will _ lead to success. A. deliberately B. eventually C. automatically D. appropriately\n【答案】：B\n【解析】：【详解】本题考查副词辨析。解题步骤:1. 确定各选项意思:A. deliberately故意地;B. eventually最终地;C. automatically自动地;D. appropriately适当地。2. 确定答案:lead to success是最终的结果,故选B。句意:当面临挑战的时候,坚信坚持自己的梦想,并加倍努力,最终会取得成功。。\n\n\n【题干】：It seems that _ the road is a single track we still need to install traffic lights. A. if B. unless C. although D. because\n【答案】：C\n【解析】：【详解】考查让步状语从句。句意:看来,尽管这条路是一条单向小道,我们仍旧需要安装交通信号灯。A. if如果;B. unless除非;C. although尽管;D. because因为。前后是让步关系,故选C项although来引导让步状语从句。。\n\n\n【题干】：So long as you do what you can, no one will blame you _ you might fail in the future. A. as though B. in case C. now that D. even if\n【答案】：D\n【解析】：【详解】考查让步状语从句。句意:只要你尽力而为,即使将来可能失败也不会有人指责你。A. as though仿佛;B. in case万一;C. now that既然;D. even if即使。前后是让\n######################\nOutput:'}
diff --git a/indexing/output/20240819-155009/reports/logs.json b/indexing/output/20240819-155009/reports/logs.json
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@@ -0,0 +1,25 @@
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u3010\u9898\u5e72\u3011\uff1aChina Daily is _a newspaper, for it also can serve as a useful textbook for English study. A. more than B. more or less C. less than D. no more than\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8bcd\u7ec4\u3002A. more than\u8d85\u8fc7,\u4e0d\u4ec5\u4ec5\u662f;B. more or less\u6216\u591a\u6216\u5c11;C. less than\u5c11\u4e8e; D. no more than\u4ec5\u4ec5\u3002\u53e5\u610f:\u4e2d\u56fd\u65e5\u62a5\u4e0d\u4ec5\u662f\u4e00\u4efd\u62a5\u7eb8,\u5b83\u8fd8\u53ef\u4ee5\u5e2e\u6211\u4eec\u63d0\u9ad8\u82f1\u8bed\u6c34\u5e73\u3002more than\u540e\u63a5\u540d\u8bcd\u8868\u793a\u201c\u4e0d\u4ec5\u4ec5\u662f\u201d\u3002\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aDue to frequent layoffs, there is anxiety among the employees _ they may one day be out of work. A. when B. how C. why D. that\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fde\u8bcd\u3002A. when\u5f53\u2026\u2026\u7684\u65f6\u5019;B. how\u5982\u4f55,\u600e\u4e48;C. why\u4e3a\u4ec0\u4e48;D. that(\u5f15\u5bfc\u540d\u8bcd\u6027\u4ece\u53e5,\u4e0d\u505a\u53e5\u5b50\u6210\u5206,\u53ea\u8d77\u8fde\u63a5\u4f5c\u7528)\u3002\u53e5\u610f:\u7531\u4e8e\u9891\u7e41\u7684\u88c1\u5458,\u5458\u5de5\u4eec\u62c5\u5fc3\u6709\u4e00\u5929\u4f1a\u5931\u4e1a\u3002\u6839\u636e\u53e5\u610f\u53ca\u53e5\u5b50\u7ed3\u6784\u5206\u6790\u53ef\u77e5,\u6b64\u5904\u4e3aanxiety\u7684\u540c\u4f4d\u8bed\u4ece\u53e5,\u4ece\u53e5\u53e5\u5b50\u6210\u5206\u9f50\u5168,\u5e94\u4f7f\u7528that\u5f15\u5bfc\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011that\u5f15\u5bfc\u540c\u4f4d\u8bed\u4ece\u53e5\u548c\u5b9a\u8bed\u4ece\u53e5\u7684\u533a\u522b: 1)\u4ece\u53e5\u6cd5\u89d2\u5ea6\u6765\u770b,\u5f15\u5bfc\u540c\u4f4d\u8bed\u4ece\u53e5\u7684\u8fde\u8bcdthat\u53ea\u8d77\u8fde\u63a5\u4f5c\u7528,\u5728\u4ece\u53e5\u4e2d\u4e0d\u4f5c\u4efb\u4f55\u6210\u5206,\u4f46\u4e0d\u53ef\u4ee5\u7701\u7565;\u800c\u5f15\u5bfc\u5b9a\u8bed\u4ece\u53e5\u7684\u5173\u7cfb\u4ee3\u8bcdthat\u9664\u4e86\u8fde\u63a5\u4e3b\u53e5\u548c\u4ece\u53e5\u4e4b\u5916,\u5728\u4ece\u53e5\u4e2d\u4f5c\u4e00\u5b9a\u6210\u5206,\u6709\u65f6\u53ef\u7701\u7565\u3002 Along with the letter was his promise that he would visit me this coming Christmas.\u968f\u4fe1\u4e00\u8d77\u6765\u7684\u662f\u4ed6\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffd\u7684\u5173\u7cfb\u4ee3\u8bcdthat\u9664\u4e86\u8fde\u63a5\u4e3b\u53e5\u548c\u4ece\u53e5\u4e4b\u5916,\u5728\u4ece\u53e5\u4e2d\u4f5c\u4e00\u5b9a\u6210\u5206,\u6709\u65f6\u53ef\u7701\u7565\u3002 Along with the letter was his promise that he would visit me this coming Christmas.\u968f\u4fe1\u4e00\u8d77\u6765\u7684\u662f\u4ed6\u7684\u627f\u8bfa,\u4ed6\u8bf4\u4f1a\u5728\u5373\u5c06\u5230\u6765\u7684\u5723\u8bde\u8282\u6765\u770b\u6211\u3002(\u540c\u4f4d\u8bed\u4ece\u53e5\u4e2d\u7684that\u4e0d\u505a\u4efb\u4f55\u6210\u5206) The suggestion (that) he made at the meeting was very right.\u4ed6\u5728\u4f1a\u8bae\u4e0a\u7ed9\u51fa\u7684\u5efa\u8bae\u662f\u6b63\u786e\u7684\u3002(\u6b64\u5b9a\u8bed\u4ece\u53e5\u4e2d\u7684that\u5728\u4ece\u53e5\u4e2d\u4f5c\u5bbe\u8bed,\u53ef\u4ee5\u7701\u7565) 2)\u4ece\u8bed\u4e49\u89d2\u5ea6\u6765\u770b,\u540c\u4f4d\u8bed\u4ece\u53e5that\u5f15\u5bfc\u7684\u4ece\u53e5\u5728\u53e5\u4e2d\u89e3\u91ca\u8bf4\u660e\u524d\u9762\u7684\u540d\u8bcd,\u800c\u5b9a\u8bed\u4ece\u53e5\u4e2dthat\u5f15\u5bfc\u7684\u4ece\u53e5\u5219\u662f\u8d77\u5230\u4fee\u9970\u9650\u5b9a\u5148\u884c\u8bcd\u7684\u4f5c\u7528\u3002 The news that we are having a holiday tomorrow is not true.\u660e\u5929\u653e\u5047\u7684\u6d88\u606f\u4e0d\u5b9e\u3002(that\u5f15\u5bfc\u7684\u4ece\u53e5\u8bf4\u660enews\u7684\u5185\u5bb9) He lost his money that had been saved for a long time.\u4ed6\u4e22\u4e86\u5b58\u4e86\u5f88\u4e45\u7684\u94b1\u3002(that\u5f15\u5bfc\u7684\u5b9a\u8bed\u4ece\u53e5,\u4fee\u9970\u9650\u5b9a\u5148\u884c\u8bcdmoney)\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aNowadays many parents tend to be tolerant _ their children\u2019s choices of majors at university. A. as a consequence of B. regardless of C. in regard to D. at the mercy of\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ecb\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. as a consequence of\u7ed3\u679c;B. regardless of\u4e0d\u7ba1;C. in regard to\u5173\u4e8e;D. at the mercy of\u652f\u914d\u3002\u53e5\u610f:\u5982\u4eca,\u8bb8\u591a\u7236\u6bcd\u5bf9\u5b50\u5973\u9009\u62e9\u5927\u5b66\u4e13\u4e1a\u6301\u5bbd\u5bb9\u6001\u5ea6\u3002\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMary worked here as a _ secretary and ended up _ a full-time job with the company. A. admirable; getting B. temporary; getting C. previous; to get D. cautious; to get\n\u3010\u7b54\u6848\u3011\uff1aB\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: make a forest\u72ec\u6728\u4e0d\u6210\u6797;B. Where there\u2019s life, there\u2019s hope\u6709\u751f\u547d\u5c31\u6709\u5e0c\u671b;C. One false step will make a great difference\u5931\u4e4b\u6beb\u5398,\u8c2c\u4e4b\u5343\u91cc;D. Never put off till tomorrow what you can do today\u4eca\u65e5\u4e8b,\u4eca\u65e5\u6bd5\u3002\u7531\u8bed\u5883I told you to be careful before.\u53ef\u77e5,\u7b54\u6848\u4e3aC\u3002\u6545C\u9009\u9879\u6b63\u786e\u3002.\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMuch to my _, my vocabulary has expanded a great deal. A. delighting B. delighted C. delight\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u56fa\u5b9a\u7528\u6cd5\u3002\u53e5\u610f:\u4ee4\u6211\u9ad8\u5174\u7684\u662f,\u6211\u7684\u8bcd\u6c47\u91cf\u5927\u5927\u589e\u52a0\u4e86\u3002\u201cmuch to +\u540d\u8bcd\u201d\u4e3a\u56fa\u5b9a\u7528\u6cd5,\u610f\u4e3a\u201c\u4f7f\u67d0\u4eba\u2026\u2026\u201d,\u56e0\u6b64\u672c\u5c0f\u9898\u8981\u7528\u540d\u8bcd\u5f62\u5f0f\u3002\u5206\u6790\u9009\u9879:delighting \u611f\u5230\u9ad8\u5174\u7684,\u4e00\u822c\u4fee\u9970\u7269;delighted\u9ad8\u5174\u7684; \u6b23\u559c\u7684,\u4e00\u822c\u4fee\u9970\u4eba;delight\u5feb\u4e50,\u9ad8\u5174\u3002\u7531\u9009\u9879\u53ef\u77e5,A\u4e0eB\u90fd\u662f\u5f62\u5bb9\u8bcd,\u53ea\u6709C\u662f\u540d\u8bcd,\u7b26\u5408\u9898\u610f,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe book _ through the air to Aunt Dede and she began to read it aloud. A. got B. pushed C. sailed\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8fa8\u6790\u3002got\u5f97\u5230;pushed\u63a8;sailed\u63a0,\u98d8,\u6d6e\u6e38\u3002\u5206\u6790\u8bed\u5883\u53ef\u77e5,\u672c\u53e5\u662f\u6307\u201c\u90a3\u672c\u4e66\u5728\u7a7a\u4e2d\u4f20\u5230(\u98d8\u5411)\u9edb\u5fb7\u59d1\u5988\u90a3,\u5979(\u62ff\u8fc7\u4e66)\u5f00\u59cb\u5927\u58f0\u6717\u8bfb\u201d\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHe has been sent to the place _ needs him most. A. where B. that C. what D. it\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5b9a\u8bed\u4ece\u53e5\u3002\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u65f6\u3002 This is the best hotel in the city that I know. \u8fd9\u662f\u6211\u6240\u77e5\u9053\u7684\u57ce\u5e02\u91cc\u6700\u597d\u7684\u65c5\u9986\u3002(best \u4e3a\u6700\u9ad8\u7ea7) 4.\u5e8f\u6570\u8bcd\u4fee\u9970\u5148\u884c\u8bcd\u65f6\u3002 The first time that they meet together was yesterday. \u4ed6\u4eec\u7b2c\u4e00\u6b21\u9047\u89c1\u662f\u5728\u6628\u5929\u3002(first \u7684\u51fa\u73b0) 5\u5f53the only,the very\u51fa\u73b0\u65f6\u3002 Before he falls in love Amanda, the only thing that he cared is himself. \u5728\u4ed6\u7231\u4e0aAmanda\u4e4b\u524d,\u4ed6\u552f\u4e00\u5728\u610f\u7684\u662f\u4ed6\u81ea\u5df1\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWe were _ on our way to the airport because of the heavy snow. A. held up B. held out C. held back D. held with\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u77ed\u8bed\u8fa8\u6790\u3002A. held up\u4e3e\u8d77,\u652f\u6491;\u963b\u6321;\u5ef6\u8bef;B. held out\u4f38\u51fa,\u575a\u6301;C. held back\u963b\u788d,\u9690\u85cf,\u514b\u5236;D. held with\u8d5e\u6210;\u53e5\u610f:\u56e0\u4e3a\u5927\u96ea,\u6211\u4eec\u88ab\u5ef6\u8bef\u5728\u53bb\u673a\u573a\u7684\u8def\u4e0a\u3002\u6839\u636e\u53e5\u610f\u53ef\u77e5A\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThere is little doubt _ the Internet is a great inventionin human history. A. whether B. that C. which D. what\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540c\u4f4d\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u6beb\u65e0\u7591\u95ee,\u5728\u4eba\u7c7b\u5386\u53f2\u4e0a\u56e0\u7279\u7f51\u662f\u4e00\u9879\u4f1f\u5927\u7684\u53d1\u660e\u3002\u53e5\u4e2d\u540c\u4f4d\u8bed\u4ece\u53e5that the Internet is a great invention in human history\u5bf9\u540d\u8bcd\u77ed\u8bedlittle doubt\u8fdb\u884c\u89e3\u91ca\u8bf4\u660e,that\u5728\u53e5\u4e2d\u4e0d\u5145\u5f53\u4efb\u4f55\u6210\u5206,\u53ea\u662f\u4e00\u4e2a\u5f15\u5bfc\u8bcd\u3002\u6545B\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u672c\u9898\u8003\u67e5\u4e86\u540c\u4f4d\u8bed\u4ece\u53e5,\u540c\u4f4d\u8bed\u662f\u5bf9\u524d\u9762\u7684\u540d\u8bcd\u7684\u89e3\u91ca\u8bf4\u660e,\u5f53\u540c\u4f4d\u8bed\u90e8\u5206\u662f\u4e2a\u53e5\u5b50\u7684\u65f6\u5019,\u5c31\u662f\u540c\u4f4d\u8bed\u4ece\u53e5,\u8fd9\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u3002\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMary worked here as a _ secretary and ended up _ a full-time job with the company. A. admirable; getting B. temporary; getting C. previous; to get D. cautious; to get\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u53ca\u56fa\u5b9a\u642d\u914d\u3002A. admirable\u4ee4\u4eba\u7fa1\u6155\u7684;B. temporary\u4e34\u65f6\u7684;C. previous\u5148\u524d\u7684;D. cautious\u8c28\u614e\u7684\u3002\u53e5\u610f:\u739b\u4e3d\u4f5c\u4e3a\u4e00\u4e2a\u4e34\u65f6\u79d8\u4e66\u5728\u8fd9\u91cc\u5de5\u4f5c,\u6700\u7ec8\u5728\u8fd9\u5bb6\u516c\u53f8\u5f97\u5230\u4e00\u4efd\u5168\u804c\u5de5\u4f5c\u3002\u56fa\u5b9a\u642d\u914d:end up doing sth. \u201c\u6700\u7ec8\u505a\u67d0\u4e8b\u201d\u3002\u6545B\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIt was obvious that there was _ between accounts of the witnesses for the murder case, so the judgment was not announced in court. A. security B. relation C. conflict D. revision\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8fa8\u6790\u3002A. security\u5b89\u5168;B. relation\u5173\u7cfb;C. conflict\u51b2\u7a81;D. revision\u590d\u4e60\u3002\u53e5\u610f:\u5f88\u660e\u663e,\u8c0b\u6740\u6848\u76ee\u51fb\u8005\u7684\u53d9\u8ff0\u6709\u51b2\u7a81,\u6240\u4ee5\u6cd5\u5ead\u6ca1\u6709\u5ba3\u5e03\u5224\u51b3\u3002\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a\u2014 Tom, what a pity! I almost succeeded yesterday. \u2014_. I told you to be careful before. A. One tree does not make a forest B. Where there\u2019s life, there\u2019s hope C. One false step will make a great difference D. Never put off till tomorrow what you can do today\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8c1a\u8bed\u8fa8\u6790\u3002A. One tree does not make a forest\u72ec\u6728\u4e0d\u6210\u6797;B. Where there\u2019s life, there\u2019s hope\u6709\u751f\u547d\u5c31\u6709\u5e0c\u671b;C. One false step will make a great difference\u5931\u4e4b\u6beb\u5398,\u8c2c\u4e4b\u5343\u91cc;D. Never put off till tomorrow what\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: several months and it made farmers _ about the harvest. A. astonished B. anxious C. eager D. busy\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u5e72\u65f1\u5df2\u7ecf\u6301\u7eed\u4e86\u51e0\u4e2a\u6708,\u519c\u6c11\u4eec\u5bf9\u6536\u6210\u611f\u5230\u7126\u8651\u3002A. astonished\u60ca\u8bb6\u7684;B. anxious\u7126\u8651\u7684;C. eager\u6e34\u671b\u7684;D. busy\u7e41\u5fd9\u7684\u3002be anxious about\u201c\u5bf9\u2026\u2026\u611f\u5230\u7126\u8651\u201d,\u5e72\u65f1\u4f1a\u5f71\u54cd\u6536\u6210,\u519c\u6c11\u4eec\u81ea\u7136\u4f1a\u611f\u5230\u7126\u8651,\u6545B\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe atmosphere gets thinner and thinner _ the height increases. A. while B. since C. as D. for\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fde\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u968f\u7740\u9ad8\u5ea6\u7684\u589e\u52a0,\u5927\u6c14\u53d8\u5f97\u8d8a\u6765\u8d8a\u7a00\u8584\u3002A. while\u5f53\u2026\u2026\u65f6;B. since\u81ea\u4ece\u2026\u2026\u4ee5\u6765;C. as\u968f\u7740\u2026\u2026;D. for\u56e0\u4e3a\u3002\u8fd9\u91cc\u8868\u793a\u4f34\u968f,\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aBy the time he was 4 years old, he _ 100 English words. A. learns B. will have learned C. has learned D. had learned\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fc7\u53bb\u5b8c\u6210\u65f6\u3002\u53e5\u610f:\u5230\u4ed64\u5c81\u7684\u65f6\u5019,\u4ed6\u5df2\u7ecf\u5b66\u4f1a\u4e86100\u4e2a\u82f1\u8bed\u5355\u8bcd\u3002by the time\u5f15\u5bfc\u7684\u65f6\u95f4\u72b6\u8bed\u4ece\u53e5,\u4ece\u53e5\u8fc7\u53bb\u65f6,\u4e3b\u53e5\u7528\u8fc7\u53bb\u5b8c\u6210\u65f6\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011by the time\u610f\u4e3a\u201c\u5230\u2026\u2026\u65f6\u5019(\u4e3a\u6b62)\u201d,\u662f\u4e00\u4e2a\u4ecb\u8bcd\u77ed\u8bed,\u5728\u53e5\u4e2d\u7ecf\u5e38\u8d77\u8fde\u8bcd\u4f5c\u7528,\u5f15\u5bfc\u65f6\u95f4\u72b6\u8bed\u4ece\u53e5\u3002\u5b83\u7684\u4e3b\u8981\u7528\u6cd5\u5982\u4e0b: 1. \u5982\u679c\u4ece\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u662f\u4e00\u822c\u8fc7\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u201d,\u662f\u4e00\u4e2a\u4ecb\u8bcd\u77ed\u8bed,\u5728\u53e5\u4e2d\u7ecf\u5e38\u8d77\u8fde\u8bcd\u4f5c\u7528,\u5f15\u5bfc\u65f6\u95f4\u72b6\u8bed\u4ece\u53e5\u3002\u5b83\u7684\u4e3b\u8981\u7528\u6cd5\u5982\u4e0b: 1. \u5982\u679c\u4ece\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u662f\u4e00\u822c\u8fc7\u53bb\u65f6,\u90a3\u4e48\u4e3b\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u901a\u5e38\u7528\u8fc7\u53bb\u5b8c\u6210\u65f6,\u8868\u793a\u201c\u622a\u6b62\u5230\u4ece\u53e5\u52a8\u4f5c\u53d1\u751f\u65f6,\u4e3b\u53e5\u52a8\u4f5c\u5df2\u7ecf\u5b8c\u6210,\u5373\u8fc7\u53bb\u7684\u8fc7\u53bb\u201d\u3002 2. \u5982\u679c\u4ece\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u4e3a\u4e00\u822c\u73b0\u5728\u65f6(\u8868\u793a\u5c06\u6765),\u90a3\u4e48\u4e3b\u53e5\u4e2d\u7684\u8c13\u8bed\u52a8\u8bcd\u5e38\u4e3a\u5c06\u6765\u5b8c\u6210\u65f6,\u8868\u793a\u201c\u622a\u6b62\u5230\u5c06\u6765\u67d0\u4e00\u65f6\u95f4\u4e3a\u6b62,\u4e3b\u53e5\u52a8\u4f5c\u5c06\u5df2\u7ecf\u5b8c\u6210\u201d\u3002 3. \u5982\u679c\u4e3b\u53e5\u52a8\u4f5c\u4e0d\u5f3a\u8c03\u5df2\u7ecf\u5b8c\u6210,\u53ea\u662f\u8bf4\u660e\u8fc7\u53bb\u67d0\u4e2a\u65f6\u5019\u7684\u72b6\u51b5,\u6b64\u65f6\u4e3b\u53e5\u4e0d\u7528\u5b8c\u6210\u65f6,\u800c\u5e94\u6839\u636e\u5b9e\u9645\u9700\u8981\u9009\u7528\u9002\u5f53\u7684\u65f6\u6001,\u6b64\u65f6by the time\u76f8\u5f53\u4e8ewhen\u3002 \u672c\u53e5\u7b26\u5408\u7b2c\u4e00\u70b9\u7528\u6cd5,\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIt was the middle of the night _ my father woke me up and told me to watch the football game. A. that B. when C. since D. which\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fde\u8bcd\u3002\u53e5\u610f:\u90a3\u662f\u534a\u591c,\u7236\u4eb2\u628a\u6211\u53eb\u9192,\u53eb\u6211\u770b\u8db3\u7403\u8d5b\u3002\u672c\u53e5\u662fwhen\u5f15\u5bfc\u7684\u65f6\u95f4\u72b6\u8bed\u4ece\u53e5,\u6545B\u9009\u9879\u6b63\u786e\u3002\u672c\u53e5\u4e0d\u662f\u5f3a\u8c03\u53e5,\u5982\u679c\u628aIt was\u53bb\u6389,\u53e5\u5b50\u5e76\u4e0d\u6210\u7acb,the middle of the night\u524d\u7f3a\u5c11\u4ecb\u8bcd\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a-Madam, if you like I can give you a lift to the downtown area. - That\u2019s a very kind _. A. service B. offer C. promise D. choice\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u540d\u8bcd\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u3010\u9898\u5e72\u3011\uff1a-Madam, if you like I can give you a lift to the downtown area. - That\u2019s a very kind _. A. service B. offer C. promise D. choice\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u540d\u8bcd\u8fa8\u6790\u3002A. service\u670d\u52a1; B. offer\u63d0\u8bae; C. promise\u8bb8\u8bfa; D. choice\u9009\u62e9\u3002\u53e5\u610f:\u2014\u592b\u4eba,\u5982\u679c\u60a8\u613f\u610f,\u6211\u53ef\u4ee5\u8f7d\u60a8\u5230\u5e02\u4e2d\u5fc3\u3002\u2014\u8fd9\u662f\u4e00\u4e2a\u975e\u5e38\u597d\u7684\u63d0\u8bae\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u7b54\u6848\u4e3aB\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a- Have you ever been to Provence which is home to lavender(\u85b0\u8863\u8349) in Paris? - Yes, only once. I _ there for a week. A. had stayed B. were staying C. have stayed D. stayed\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u65f6\u6001\u3002\u53e5\u610f:\u2014\u4f60\u53bb\u8fc7\u5df4\u9ece\u85b0\u8863\u8349\u7684\u6545\u4e61\u666e\u7f57\u65fa\u65af\u5417?\u2014\u662f\u7684,\u53ea\u6709\u4e00\u6b21\u3002\u6211\u5728\u90a3\u91cc\u5446\u4e86\u4e00\u4e2a\u661f\u671f\u3002\u6b64\u5904\u662f\u6307\u8fc7\u53bb\u53d1\u751f\u7684\u4e00\u4ef6\u4e8b,\u4e0e\u73b0\u5728\u65e0\u5173,\u6240\u4ee5\u7528\u4e00\u822c\u8fc7\u53bb\u65f6\u6001,\u6545\u7b54\u6848\u4e3aD\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aDue to the frequent school shootings, the only way the president could imagine _ such tragedies was to ban guns across the US. A. preventing B. prevented C. to prevent D. having prevented\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u4e0d\u5b9a\u5f0f\u4f5c\u540e\u7f6e\u5b9a\u8bed\u3002\u53e5\u610f:\u7531\u4e8e\u6821\u56ed\u67aa\u51fb\u6848\u9891\u53d1,\u603b\u7edf\u80fd\u60f3\u5230\u7684\u9632\u6b62\u6b64\u7c7b\u60b2\u5267\u53d1\u751f\u7684\u552f\u4e00\u529e\u6cd5\u5c31\u662f\u5728\u5168\u7f8e\u8303\u56f4\u5185\u7981\u6b62\u67aa\u652f\u3002\u6b64\u5904\u662f\u52a8\u8bcd\u4e0d\u5b9a\u5f0f\u4f5c\u540e\u7f6e\u5b9a\u8bed,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMy computer _ start this morning. There must have been something wrong with it. A. wouldn\u2019t B. shouldn\u2019t C. couldn\u2019t D.\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffdB\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u672c\u9898\u8003\u67e5\u4e86\u540c\u4f4d\u8bed\u4ece\u53e5,\u540c\u4f4d\u8bed\u662f\u5bf9\u524d\u9762\u7684\u540d\u8bcd\u7684\u89e3\u91ca\u8bf4\u660e,\u5f53\u540c\u4f4d\u8bed\u90e8\u5206\u662f\u4e2a\u53e5\u5b50\u7684\u65f6\u5019,\u5c31\u662f\u540c\u4f4d\u8bed\u4ece\u53e5,\u8fd9\u79cd\u7528\u6cd5\u6bd4\u8f83\"\u56fa\u5b9a\" \u4e00\u3001\u5728\u590d\u5408\u53e5\u4e2d\u7528\u4f5c\u540c\u4f4d\u8bed\u7684\u4ece\u53e5\u53eb\u540c\u4f4d\u8bed\u4ece\u53e5\u3002\u5b83\u4e00\u822c\u8ddf\u5728\u67d0\u4e9b\u540d\u8bcd\u540e\u9762,\u7528\u4ee5\u8bf4\u660e\u8be5\u540d\u8bcd\u8868\u793a\u7684\u5177\u4f53\u5185\u5bb9\u3002 I heard the news that our team had won. \u6211\u542c\u5230\u4e86\u6211\u4eec\u961f\u83b7\u80dc\u7684\u6d88\u606f\u3002 \u4e8c\u3001\u53ef\u4ee5\u8ddf\u540c\u4f4d\u8bed\u4ece\u53e5\u7684\u540d\u8bcd\u901a\u5e38\u6709news,idea,fact,promise,question,doubt,thought,hope,message,suggestion,words(\u6d88\u606f),possibility, decision\u7b49(\u4e00\u822c\u7684\u201c\u62bd\u8c61\u201d\u540d\u8bcd\u90fd\u53ef\u7528)\u3002 I\u2019ve come from Mr. wang with a message that he won\u2019t be able to see you this afternoon. \u6211\u4ece\u738b\u5148\u751f\u90a3\u91cc\u6765,\u4ed6\u8ba9\u6211\u544a\u8bc9\u4f60\u4ed6\u4eca\u5929\u4e0b\u5348\u4e0d\u80fd\u6765\u770b\u4f60\u4e86\u3002 \u4e09\u3001\u82f1\u8bed\u4e2d\u5f15\u5bfc\u540c\u4f4d\u8bed\u4ece\u53e5\u7684\u8bcd\u901a\u5e38\u6709\u8fde\u8bcdthat,whether,\u8fde\u63a5\u4ee3\u8bcdwhat,who\u3002\u8fde\u63a5\u526f\u8bcdhow, when, where\u7b49\u3002(\u6ce8:if\u4e0d\u80fd\u5f15\u5bfc\u540c\u4f4d\u8bed\u4ece\u53e5\u3002) He must answer the question whether he agrees with it or not. \u4ed6\u5fc5\u987b\u56de\u7b54\u4ed6\u662f\u5426\u540c\u610f\u8fd9\u6837\u4e00\u4e2a\u95ee\u9898\u3002 \u56db\u3001\u6709\u65f6\u540c\u4f4d\u8bed\u4ece\u53e5\u53ef\u4ee5\u4e0d\u7d27\u8ddf\u5728\u8bf4\u660e\u7684\u540d\u8bcd\u540e\u9762,\u800c\u88ab\u522b\u7684\u8bcd\u9694\u5f00\u3002 The thought came to him that maybe the enemy had fled the city. \u4ed6\u7a81\u7136\u60f3\u8d77\u654c\u4eba\u53ef\u80fd\u5df2\u7ecf\u9003\u51fa\u57ce\u4e86\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe drought had lasted several months and it made farmers _ about the harvest. A. astonished B. anxious C. eager D. busy\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u5e72\u65f1\u5df2\u7ecf\u6301\u7eed\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u8bfb\u201d\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHe has been sent to the place _ needs him most. A. where B. that C. what D. it\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5b9a\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u4ed6\u5df2\u7ecf\u88ab\u6d3e\u5230\u6700\u9700\u8981\u4ed6\u7684\u5730\u65b9\u4e86\u3002\u672c\u9898\u5b9a\u8bed\u4ece\u53e5\u7684\u5148\u884c\u8bcd\u662fthe place,\u5b9a\u8bed\u4ece\u53e5\u4e2d\u7f3a\u5c11\u4e3b\u8bed,\u8981\u7528\u5173\u7cfb\u4ee3\u8bcdthat\u6307\u4ee3\u5148\u884c\u8bcd,\u5f15\u5bfc\u5b9a\u8bed\u4ece\u53e5\u5e76\u5728\u53e5\u4e2d\u505a\u4e3b\u8bed\u3002CD\u9879\u4e0d\u80fd\u5f15\u5bfc\u5b9a\u8bed\u4ece\u53e5,where\u8981\u5728\u53e5\u4e2d\u505a\u72b6\u8bed\u3002\u6545B\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u672c\u9898\u8003\u67e5\u4e86\u5173\u7cfb\u4ee3\u8bcdthat\u7684\u7528\u6cd5,that\u662f\u6bd4\u8f83\u5e38\u89c1\u7684\u5173\u7cfb\u4ee3\u8bcd,\u5e76\u4e14\u6709\u7684\u65f6\u5019\u662f\u53ea\u80fd\u7528that\u3002\u63a5\u4e0b\u6765\u5c31\u770b\u770b\u65f6\u5019\u53ea\u7528that\u7684\u60c5\u51b5\u3002 1\u5f53\u5148\u884c\u8bcd\u662fanything,everything,nothing,few,all,alone,little,some\u7b49\u6307\u4eba\u6216\u7269\u7684\u4ee3\u8bcd\u65f6\u3002\u6216\u8005\u662f\u6709\u8bf8\u5982every,any,all,no,much\u7b49\u8bcd\u4fee\u9970\u65f6\u3002 There seems to be nothing that can help you. \u4f3c\u4e4e\u6ca1\u6709\u4efb\u4f55\u4e8b\u53ef\u4ee5\u5e2e\u4f60\u3002(nothing \u51fa\u73b0) B. All that can be applied in the research have been rejected. \u6240\u6709\u80fd\u88ab\u8fd0\u7528\u4e8e\u7814\u7a76\u7684\u90fd\u88ab\u5426\u51b3\u4e86\u3002(all\u7684\u51fa\u73b0) 2 \u5f53\u5148\u884c\u8bcd\u65e2\u6709\u4eba\u4e5f\u6709\u4e8b\u7269\u3002 A. The talked the people and things in the bar that they remember. \u4ed6\u4eec\u8c08\u8bba\u7740\u4ed6\u4eec\u8bb0\u8d77\u7684\u9152\u5427\u7684\u4eba\u548c\u4e8b\u3002(\u4eba\u548c\u7269\u7684\u51fa\u73b0) 3 \u6709\u5f62\u5bb9\u8bcd\u6700\u9ad8\u7ea7\u4fee\u9970\u5148\u884c\u8bcd\u65f6\u3002 This is the best hotel in the city that I know. \u8fd9\u662f\u6211\u6240\u77e5\u9053\u7684\u57ce\u5e02\u91cc\u6700\u597d\u7684\u65c5\u9986\u3002(best \u4e3a\u6700\u9ad8\u7ea7) 4.\u5e8f\u6570\u8bcd\u4fee\u9970\u5148\u884c\u8bcd\u65f6\u3002 The first time that they meet together\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: +\u5176\u4ed6-\u3002\u7531\u6b64\u53ef\u77e5A\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u6d45\u8c08\u5f3a\u8c03\u53e5 1. \u7528It is/was...that/who...\u53e5\u578b\u8868\u793a\u5f3a\u8c03\u3002 (1)\u9648\u8ff0\u53e5\u7684\u5f3a\u8c03\u53e5\u578b:It is/was+\u88ab\u5f3a\u8c03\u90e8\u5206(\u901a\u5e38\u662f\u4e3b\u8bed\u3001\u5bbe\u8bed\u6216\u72b6\u8bed)+that/who(\u5f53\u5f3a\u8c03\u4e3b\u8bed\u4e14\u4e3b\u8bed\u6307\u4eba)+\u5176\u5b83\u90e8\u5206\u3002 e.g. It was yesterday that he met Li Ping. (2)\u4e00\u822c\u7591\u95ee\u53e5\u7684\u5f3a\u8c03\u53e5\u578b:\u540c\u4e0a,\u53ea\u662f\u628ais/was\u63d0\u5230it\u524d\u9762\u3002 e.g. Was it yesterday that he met Li Ping? (3)\u7279\u6b8a\u7591\u95ee\u53e5\u7684\u5f3a\u8c03\u53e5\u578b:\u88ab\u5f3a\u8c03\u90e8\u5206(\u901a\u5e38\u662f\u7591\u95ee\u4ee3\u8bcd\u6216\u7591\u95ee\u526f\u8bcd)+is/was+it+that/who+\u5176\u5b83\u90e8\u5206?e.g. When and where was it that you were born? 2. not...until...\u53e5\u578b\u7684\u5f3a\u8c03\u53e5: \u53e5\u578b\u4e3a:It is/was not until+\u88ab\u5f3a\u8c03\u90e8\u5206+that+\u5176\u5b83\u90e8\u5206: e.g. \u666e\u901a\u53e5:He didn't go to bed until/till his wife came back. \u5f3a\u8c03\u53e5:It was not until his wife came back that he went to bed. \u6ce8\u610f:\u6b64\u53e5\u578b\u53ea\u7528until,\u4e0d\u7528till\u3002\u4f46\u5982\u679c\u4e0d\u662f\u5f3a\u8c03\u53e5\u578b,till, until\u53ef\u901a\u7528; \u56e0\u4e3a\u53e5\u578b\u4e2dIt is/was not...\u5df2\u7ecf\u662f\u5426\u5b9a\u53e5\u4e86,that\u540e\u9762\u7684\u4ece\u53e5\u8981\u7528\u80af\u5b9a\u53e5,\u5207\u52ff\u518d\u7528\u5426\u5b9a\u53e5\u4e86\u3002 3. \u5f3a\u8c03\u8c13\u8bed\u52a8\u8bcd:\u7528\u52a9\u52a8\u8bcddo, does\u6216did\u52a0\u52a8\u8bcd\u539f\u5f62\u6765\u5f3a\u8c03\u8c13\u8bed\u52a8\u8bcd\u3002\u6ce8\u610f:\u6b64\u79cd\u5f3a\u8c03\u53ea\u7528do/does\u548cdid,\u6ca1\u6709\u522b\u7684\u5f62\u5f0f;\u8fc7\u53bb\u65f6\u6001\u7528did,\u540e\u9762\u7684\u8c13\u8bed\u52a8\u8bcd\u7528\u539f\u5f62\u3002\u5982:Do come early. \u52a1\u5fc5\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffd\u539f\u5f62\u6765\u5f3a\u8c03\u8c13\u8bed\u52a8\u8bcd\u3002\u6ce8\u610f:\u6b64\u79cd\u5f3a\u8c03\u53ea\u7528do/does\u548cdid,\u6ca1\u6709\u522b\u7684\u5f62\u5f0f;\u8fc7\u53bb\u65f6\u6001\u7528did,\u540e\u9762\u7684\u8c13\u8bed\u52a8\u8bcd\u7528\u539f\u5f62\u3002\u5982:Do come early. \u52a1\u5fc5\u65e9\u6765\u3002He did send you a letter last week. \u6628\u5929\u4ed6\u786e\u5b9e\u5bc4\u7ed9\u4f60\u4e00\u5c01\u4fe1\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aSpelling Bee is a contest _ competitors, usually children, are asked to spell as many words as possible. A. which B. when C. what D. where\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5b9a\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u62fc\u5b57\u6bd4\u8d5b\u662f\u8981\u6c42\u53c2\u8d5b\u8005,\u901a\u5e38\u662f\u5b69\u5b50,\u62fc\u51fa\u5c3d\u53ef\u80fd\u591a\u7684\u5355\u8bcd\u7684\u6bd4\u8d5b\u3002\u6b64\u5904a contest\u662f\u5148\u884c\u8bcd,\u5728\u540e\u9762\u7684\u5b9a\u8bed\u4ece\u53e5\u4e2d\u4f5c\u5730\u70b9\u72b6\u8bed,\u6545\u7b54\u6848\u4e3aD\u3002\u3010\u70b9\u775b\u3011\u5206\u6790\u5b9a\u8bed\u4ece\u53e5\u5173\u952e\u6293\u4f4f\u4e24\u70b9:\u7b2c\u4e00\u3001\u627e\u51c6\u5148\u884c\u8bcd;\u7b2c\u4e8c\u3001\u770b\u5148\u884c\u8bcd\u5728\u5b9a\u8bed\u4ece\u53e5\u4e2d\u6240\u4f5c\u7684\u6210\u5206\u3002\u5148\u884c\u8bcd\u5f80\u5f80\u4e3a\u540d\u8bcd\u6216\u4ee3\u8bcd,\u5982\u672c\u9898\u4e2d\u5148\u884c\u8bcd\u4e3a\u540d\u8bcda contest,\u518d\u5206\u6790\u5148\u884c\u8bcda contest\u5728\u5b9a\u8bed\u4ece\u53e5\u4e2d\u6240\u4f5c\u7684\u6210\u5206,\u5c06\u5148\u884c\u8bcda contest\u5e26\u5230\u4ece\u53e5\u4e2d\u53ef\u77e5,\u53ea\u80fd\u4f5c\u5730\u70b9\u72b6\u8bed,\u6545\u786e\u5b9a\u5173\u7cfb\u8bcdwhere\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHe kept silent over the matter because he had no intention to risk _ in it. A. to involve B. involving C. being involved D. to be involved\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u975e\u8c13\u8bed\u52a8\u8bcd\u3002\u53e5\u610f:\u4ed6\u5bf9\u8fd9\u4ef6\u4e8b\u4fdd\u6301\u6c89\u9ed8,\u56e0\u4e3a\u4ed6\u4e0d\u60f3\u5192\u9669\u5377\u5165\u5176\u4e2d\u3002\u56fa\u5b9a\u642d\u914d:risk doing sth.\u201c\u5192\u9669\u505a\u67d0\u4e8b\u201d,\u4e14\u53e5\u5b50\u4e3b\u8bedhe\u548cinvolve\u4e4b\u95f4\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI can\u2019t stay out overnight without my parents\u2019_. A. obedience B. privacy C. affection D. approval\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u6ca1\u6709\u7236\u6bcd\u7684\u540c\u610f,\u6211\u4e0d\u80fd\u5728\u5916\u9762\u8fc7\u591c\u3002A. obedience\u670d\u4ece;B. privacy\u9690\u79c1;C. affection\u5f71\u54cd;D. approval\u540c\u610f\u3002\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aScientists have made a major _ in the treatment of cancer. A. barrier B. breakthrough C. companion D. concern\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u79d1\u5b66\u5bb6\u5728\u764c\u75c7\u6cbb\u7597\u65b9\u9762\u53d6\u5f97\u4e86\u91cd\u5927\u7a81\u7834\u3002A. barrier\u969c\u788d\u7269;B. breakthrough\u7a81\u7834;C. companion \u540c\u4f34;D. concern\u5173\u5fc3\u3002\u77ed\u8bedmake a breakthrough\u7a81\u7834\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aAccording to Professor Smith, the best approach _ a foreign language is to study the spoken language. A. to learn B. to learning C. of learning D. on learning\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u56fa\u5b9a\u642d\u914d\u3002\u53e5\u610f:\u53f2\u5bc6\u65af\u6559\u6388\u8ba4\u4e3a,\u5b66\u4e60\u5916\u8bed\u7684\u6700\u597d\u65b9\u6cd5\u662f\u5b66\u4e60\u53e3\u8bed\u3002the approach to doing sth.\u201c\u505a\u67d0\u4e8b\u7684\u65b9\u6cd5\u201d,\u6b64\u5904to\u662f\u4ecb\u8bcd,\u540e\u9762\u7528\u52a8\u540d\u8bcd\u4f5c\u8868\u8bed,\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHey, you _ at the computer all day. You should really take a break now. A. have been sitting B. were sitting C. did sit D. are sitting\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u73b0\u5728\u5b8c\u6210\u8fdb\u884c\u65f6\u6001\u3002\u53e5\u610f:\u563f,\u4f60\u6574\u5929\u90fd\u5750\u5728\u7535\u8111\u524d\u3002\u4f60\u73b0\u5728\u771f\u7684\u5e94\u8be5\u4f11\u606f\u4e00\u4e0b\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u53e5\u5b50\u7528\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u7981\u6b62\u67aa\u652f\u3002\u6b64\u5904\u662f\u52a8\u8bcd\u4e0d\u5b9a\u5f0f\u4f5c\u540e\u7f6e\u5b9a\u8bed,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMy computer _ start this morning. There must have been something wrong with it. A. wouldn\u2019t B. shouldn\u2019t C. couldn\u2019t D. mustn\u2019t\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u60c5\u6001\u52a8\u8bcd\u3002\u53e5\u610f:\u6211\u7684\u7535\u8111\u4eca\u65e9\u542f\u52a8\u4e0d\u4e86\u3002\u4e00\u5b9a\u662f\u51fa\u4e86\u4ec0\u4e48\u95ee\u9898\u3002A. wouldn\u2019t \u4e0d\u4f1a; B. shouldn\u2019t\u4e0d\u5e94\u8be5; C. couldn\u2019t \u4e0d\u80fd; D. mustn\u2019t\u7981\u6b62,\u4e0d\u5141\u8bb8\u3002\u6b64\u5904would\u8868\u793a\u8fc7\u53bb\u7684\u4e60\u60ef\u6216\u53cd\u590d\u6027\u7684\u52a8\u4f5c\u3002\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a- Come on, Henry. You can also enjoy as healthy a life as I _ if you can\u2026 - Are you advising me to run every morning? A. will live B. lived C. am living D. had lived\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u65f6\u6001\u3002\u53e5\u610f:\u2014\u5feb\u70b9,\u4ea8\u5229\u3002\u4f60\u4e5f\u53ef\u4ee5\u50cf\u6211\u4e00\u6837\u4eab\u53d7\u5065\u5eb7\u7684\u751f\u6d3b,\u5982\u679c\u4f60\u53ef\u4ee5\u2026\u2026\u3002\u2014\u4f60\u662f\u5efa\u8bae\u6211\u6bcf\u5929\u65e9\u4e0a\u8dd1\u6b65\u5417?\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u6b64\u5904\u7528\u73b0\u5728\u8fdb\u884c\u65f6\u6001,\u6545\u7b54\u6848\u4e3aC\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIt was at midnight _ we arrived at the airport, resulting from the heavy fog. A. that B. before C. since D. now that\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f3a\u8c03\u53e5\u5f0f\u3002\u53e5\u610f:\u7531\u4e8e\u5927\u96fe,\u6211\u4eec\u662f\u5728\u5348\u591c\u5230\u8fbe\u673a\u573a\u7684\u3002\u6b64\u5904\u65f6\u5f3a\u8c03\u53e5\u5f0f,\u5f3a\u8c03\u65f6\u95f4\u72b6\u8bed,It is +\u5f3a\u8c03\u90e8\u5206+that+\u5176\u4ed6-\u3002\u7531\u6b64\u53ef\u77e5A\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u6d45\u8c08\u5f3a\u8c03\u53e5 1. \u7528It is/was...that/who...\u53e5\u578b\u8868\u793a\u5f3a\u8c03\u3002 (1)\u9648\u8ff0\u53e5\u7684\u5f3a\u8c03\u53e5\u578b:\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: . cures\u6cbb\u7597;B. residents\u5c45\u6c11;C. budgets\u9884\u7b97;D. species\u79cd\u7c7b\u3002\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMr. Painter wanted to design a new system to _ the water in his garden in heavy rains. A. retreat B. drain C. tremble D. shrink\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:Painter\u5148\u751f\u60f3\u8bbe\u8ba1\u4e00\u79cd\u65b0\u7684\u7cfb\u7edf,\u5728\u4e0b\u5927\u96e8\u65f6\u6765\u7ed9\u4ed6\u7684\u82b1\u56ed\u91cc\u6392\u6c34\u3002A. retreat\u64a4\u9000;B. drain\u6392\u51fa;C. tremble\u53d1\u6296;D. shrink\u9000\u7f29\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe family wrote a letter to the organization to express their _ for help. A. faith B. appeal C. relief D. sight\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u8fd9\u5bb6\u4eba\u5199\u4e86\u4e00\u5c01\u4fe1\u7ed9\u8be5\u7ec4\u7ec7\u8868\u8fbe\u4ed6\u4eec\u9700\u8981\u63f4\u52a9\u7684\u6073\u6c42\u3002A. faith\u4fe1\u4ef0;B. appeal\u6073\u6c42;C. relief\u51cf\u8f7b;D. sight\u89c6\u529b\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWinning this game is _ to the team, for the result will decide whether it can defend its championship. A. contemporary B. crucial C. complicated D. constant\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u8d62\u5f97\u8fd9\u573a\u6bd4\u8d5b\u5bf9\u7403\u961f\u81f3\u5173\u91cd\u8981,\u56e0\u4e3a\u7ed3\u679c\u5c06\u51b3\u5b9a\u5b83\u80fd\u5426\u536b\u5195\u51a0\u519b\u3002A. contemporary\u5f53\u4ee3\u7684;B. crucial\u51b3\u5b9a\u6027\u7684;C. complicated\u590d\u6742\u96be\u61c2\u7684;D. constant\u7ecf\u5e38\u7684\u3002\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI can\u2019t stay out overnight without my parents\u2019_. A. obedience B. privacy C. affection D. approval\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\ufffd\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: :\u4ed6\u5bf9\u8fd9\u4ef6\u4e8b\u4fdd\u6301\u6c89\u9ed8,\u56e0\u4e3a\u4ed6\u4e0d\u60f3\u5192\u9669\u5377\u5165\u5176\u4e2d\u3002\u56fa\u5b9a\u642d\u914d:risk doing sth.\u201c\u5192\u9669\u505a\u67d0\u4e8b\u201d,\u4e14\u53e5\u5b50\u4e3b\u8bedhe\u548cinvolve\u4e4b\u95f4\u662f\u4e00\u79cd\u88ab\u52a8\u5173\u7cfb,\u6240\u4ee5\u8fd9\u91cc\u8981\u7528\u52a8\u540d\u8bcd\u4e00\u822c\u5f0f\u7684\u88ab\u52a8\u5f0f,\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1a_in voluntary work makes him feel happy and fulfilled. A. Participate B. Participated C. Participating D. Having participated\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u975e\u8c13\u8bed\u52a8\u8bcd\u3002\u53e5\u610f:\u53c2\u4e0e\u5fd7\u613f\u5de5\u4f5c\u4f7f\u4ed6\u611f\u5230\u5feb\u4e50\u548c\u6ee1\u8db3\u3002\u5206\u6790\u53e5\u5b50\u53ef\u77e5,\u53e5\u4e2d\u7f3a\u5c11\u4e3b\u8bed,\u6545\u7528\u52a8\u540d\u8bcd\u77ed\u8bed\u4f5c\u4e3b\u8bed\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe doctor tried to _ me that my mother would be fine. A. whistle B. emerge C. reassure D. bend\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u533b\u751f\u8bd5\u56fe\u8ba9\u6211\u653e\u5fc3,\u6211\u7684\u6bcd\u4eb2\u4f1a\u597d\u7684\u3002A. whistle\u5439\u53e3\u54e8;B. emerge\u6d6e\u73b0;C. reassure\u4f7f\u2026\u2026\u5b89\u5fc3;D. bend\u5f2f\u66f2\u3002\u6545\u9009C\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aNew Zealand is home to around 16,000 bird _,double the number in all Europe. A. cures B. residents C. budgets D. species\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8bcd\u4e49\u8fa8\u6790\u3002\u53e5\u610f:\u65b0\u897f\u5170\u62e5\u6709\u5927\u7ea616,000\u79cd\u9e1f\u7c7b,\u662f\u6b27\u6d32\u603b\u6570\u7684\u4e24\u500d\u3002A. cures\u6cbb\u7597;B. residents\u5c45\u6c11;C. budgets\u9884\u7b97;D. species\u79cd\u7c7b\u3002\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aMr. Painter wanted to design a new system to _ the water in his garden in heavy rains. A. retreat B.\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u73b0\u5728\u5b8c\u6210\u8fdb\u884c\u65f6\u6001\u3002\u53e5\u610f:\u563f,\u4f60\u6574\u5929\u90fd\u5750\u5728\u7535\u8111\u524d\u3002\u4f60\u73b0\u5728\u771f\u7684\u5e94\u8be5\u4f11\u606f\u4e00\u4e0b\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u53e5\u5b50\u7528\u73b0\u5728\u5b8c\u6210\u8fdb\u884c\u65f6\u6001,\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aOver the last three decades, the number of people participating in physical fitness programs _ sharply. A. was increasing B. has increased C. had increased D. will be increasing\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u65f6\u6001\u3002\u53e5\u610f:\u5728\u8fc7\u53bb\u7684\u4e09\u5341\u5e74\u91cc,\u53c2\u52a0\u5065\u8eab\u8ba1\u5212\u7684\u4eba\u6570\u6025\u5267\u589e\u52a0\u3002Over the last three decades\u201c\u5728\u6700\u8fd1\u768430\u5e74\u91cc\u201d\u548c\u73b0\u5728\u5b8c\u6210\u65f6\u6001\u8fde\u7528,\u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWell, if Father\u2019s job means that we have to move away from our house and the sliding banister and my three best friends for life, then I think Father should _ about his job, don\u2019t you? A. have big things in mind B. let the matters drop C. stretch out D. think twice\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. have big things in mind\u80f8\u6000\u5927\u5fd7;B. let the matters drop\u8ba9\u4e8b\u60c5\u8fc7\u53bb\u5427;C. stretch out\u5c55\u5f00;D. think twice\u4e09\u601d\u800c\u540e\u884c\u3002\u53e5\u610f:\u597d\u5427,\u5982\u679c\u7236\u4eb2\u7684\u5de5\u4f5c\u610f\u5473\u7740\u6211\u4eec\u5fc5\u987b\u79bb\u5f00\u6211\u4eec\u7684\u623f\u5b50\u3001\u6ed1\u52a8\u7684\u697c\u68af\u6276\u624b\u548c\u6211\u7684\u4e09\u4e2a\u6700\u597d\u7684\u670b\u53cb,\u90a3\u4e48\u6211\u8ba4\u4e3a\u7236\u4eb2\u5e94\u8be5\u4e09\u601d\u800c\u540e\u884c,\u4e0d\u662f\u5417?\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThere was a plaque _ the top of the bench but she couldn't read the inscription from this distance. A. secured on B. tangled in C. applied to D. attached to\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. secured on\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: of the bench but she couldn't read the inscription from this distance. A. secured on B. tangled in C. applied to D. attached to\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. secured on\u4fdd\u8bc1;B. tangled in\u7ea0\u7f20;C. applied to\u7533\u8bf7;D. attached to\u9644\u5c5e\u4e8e\u3002\u53e5\u610f:\u957f\u51f3\u9876\u4e0a\u6302\u7740\u4e00\u5757\u724c\u533e,\u4f46\u5979\u9694\u7740\u8fd9\u4e48\u8fdc\u770b\u4e0d\u6e05\u4e0a\u9762\u7684\u94ed\u6587\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aInstead the ground was made of a sand-like substance, and as far as she could _ there was nothing but low huts and large square buildings dotted around and one or two smoke stacks in the distance. A. make sense B. make out C. make the best D. make it clear\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8bcd\u7ec4\u8fa8\u6790\u3002A. make sense\u8bf4\u5f97\u901a;B. make out\u8fa8\u8ba4\u51fa;C. make the best\u5c3d\u529b\u800c\u4e3a;D. make it clear\u660e\u786e\u8868\u660e\u3002\u53e5\u610f:\u76f8\u53cd,\u5730\u9762\u662f\u7528\u6c99\u5b50\u4e00\u6837\u7684\u4e1c\u897f\u94fa\u6210\u7684,\u5728\u5979\u6240\u80fd\u770b\u5230\u7684\u8303\u56f4\u5185,\u9664\u4e86\u4f4e\u77ee\u7684\u5c0f\u5c4b\u548c\u56db\u56db\u65b9\u65b9\u7684\u5927\u697c\u623f\u5916,\u4ec0\u4e48\u4e5f\u6ca1\u6709,\u8fdc\u5904\u8fd8\u6709\u4e00\u4e24\u4e2a\u70df\u56f1\u3002\u6545B\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011\u52a8\u8bcd\u56fa\u5b9a\u77ed\u8bed\u8fa8\u6790\u662f\u5355\u9879\u9009\u62e9\u548c\u5b8c\u5f62\u586b\u7a7a\u4e2d\u5e38\u8003\u8003\u70b9,\u9700\u8981\u5927\u5bb6\u6ce8\u610f\u79ef\u7d2f\u3002\u4f8b\u5982make\u7684\u4e00\u4e9b\u8bcd\u7ec4: make sure that\u786e\u4fe1;\u8bc1\u5b9e make up \u5f25\u8865;\u7ec4\u6210;\u5316\u5986;\u6574\u7406 make full use of \u5145\u5206\u5229\u7528 make up for \u8865\u507f,\u5f25\u8865 make a difference \u6709\u5f71\u54cd,\u6709\u5173\u7cfb make good use of \u5145\u5206\u5229\u7528;\u5f88\u597d\u5730\u4f7f\u7528 make out \u7406\u89e3;\u8fa8\u8ba4\u51fa;\u8bf4\u660e;\u586b\u5199;\u8bbe\u6cd5\u5e94\u4ed8\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffd\u5206\u5229\u7528 make up for \u8865\u507f,\u5f25\u8865 make a difference \u6709\u5f71\u54cd,\u6709\u5173\u7cfb make good use of \u5145\u5206\u5229\u7528;\u5f88\u597d\u5730\u4f7f\u7528 make out \u7406\u89e3;\u8fa8\u8ba4\u51fa;\u8bf4\u660e;\u586b\u5199;\u8bbe\u6cd5\u5e94\u4ed8 make for \u5bfc\u81f4;\u6709\u52a9\u4e8e;\u8d70\u5411 make it possible \u4f7f\u5b83\u53d8\u6210\u53ef\u80fd make a living \u8c0b\u751f,\u7ef4\u6301\u751f\u6d3b make decision \u4f5c\u51b3\u5b9a;\u4e0b\u51b3\u5fc3\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aShe just got on with her job, _ the furniture, washing the clothes, helping with the shopping and the cooking, sometimes taking him to school and collecting him again, although that had been more common when Bruno was eight; when he turned nine he decided he was old enough to make his way- there and home alone. A. polishing B. discarding C. resisting D. irritating\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u8fa8\u6790\u3002A. polishing\u629b\u5149;B. discarding\u4e22\u5f03;C. resisting\u62b5\u5236;D. irritating\u523a\u6fc0\u3002\u53e5\u610f:\u5979\u53ea\u662f\u7ee7\u7eed\u5979\u7684\u5de5\u4f5c,\u64e6\u4eae\u5bb6\u5177\u3001\u6d17\u8863\u670d\u3001\u5e2e\u5fd9\u4e70\u4e1c\u897f\u548c\u505a\u996d,\u6709\u65f6\u5e26\u4ed6\u53bb\u5b66\u6821\u3001\u518d\u63a5\u4ed6,\u5c3d\u7ba1\u5728\u5e03\u9c81\u8bfa8\u5c81\u7684\u65f6\u5019\u8fd9\u79cd\u60c5\u51b5\u66f4\u5e38\u89c1;\u5f53\u4ed6\u4e5d\u5c81\u7684\u65f6\u5019,\u4ed6\u89c9\u5f97\u81ea\u5df1\u5df2\u7ecf\u8db3\u591f\u5927\u4e86,\u53ef\u4ee5\u81ea\u5df1\u8d70\u81ea\u5df1\u7684\u8def\u4e86\u2014\u2014\u53bb\u90a3\u91cc,\u7136\u540e\u72ec\u81ea\u56de\u5bb6\u3002\u6545A\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThough _ of the danger, Mr. Brown still risked his life to save the boy in the fire. A. having told B. being told C. to be told D. told\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fc7\u53bb\u5206\u8bcd\u4f5c\u72b6\u8bed\u3002\u53e5\u610f:\u5c3d\u7ba1\u88ab\u544a\u77e5\u6709\u5371\u9669,\u5e03\u6717\u5148\u751f\u4ecd\u7136\u5192\u7740\u751f\u547d\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: D. told\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8fc7\u53bb\u5206\u8bcd\u4f5c\u72b6\u8bed\u3002\u53e5\u610f:\u5c3d\u7ba1\u88ab\u544a\u77e5\u6709\u5371\u9669,\u5e03\u6717\u5148\u751f\u4ecd\u7136\u5192\u7740\u751f\u547d\u5371\u9669\u53bb\u6551\u706b\u707e\u4e2d\u7684\u7537\u5b69\u3002\u6b64\u5904\u53e5\u5b50\u4e3b\u8bedMr. Brown\u548ctell\u4e4b\u95f4\u662f\u4e00\u79cd\u88ab\u52a8\u5173\u7cfb,\u4e0e\u8fde\u8bcdThough\u4e00\u8d77\u5f15\u5bfc\u4f5c\u8ba9\u6b65\u72b6\u8bed,\u6545\u9009D\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHe sold this car for only 2000 dollars, so the buyer got a wonderful_. A. cost B. worth C. value D. bargain\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u3002A. cost\u8d39\u7528; B. worth\u4ef7\u503c,\u8d22\u4ea7; C. value\u4ef7\u503c; D. bargain\u4ea4\u6613,\u4fbf\u5b9c\u8d27\u3002\u53e5\u610f:\u4ed6\u4ee5\u4e8c\u5343\u7f8e\u5143\u7684\u4ef7\u683c\u628a\u8fd9\u8f86\u8f66\u5356\u4e86,\u4e70\u4e3b\u4e70\u5f97\u5f88\u4fbf\u5b9c\u3002\u7ed3\u5408\u53e5\u610f\u53ef\u77e5\u7b54\u6848\u4e3aD\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThe observer\u2019s statement about the accident was very ; we know almost everything about it now. A. specific B. especial C. particular D. special\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u5f62\u5bb9\u8bcd\u8fa8\u6790\u3002\u53e5\u610f:\u65c1\u89c2\u8005\u5173\u4e8e\u4e8b\u6545\u7684\u9648\u8ff0\u975e\u5e38\u5177\u4f53;\u6211\u4eec\u73b0\u5728\u51e0\u4e4e\u5bf9\u5b83\u4e86\u5982\u6307\u638c\u3002A. specific \u5177\u4f53\u7684; B. especial\u5c24\u5176\u7684; C. particular\u7279\u6b8a\u7684; D. special\u975e\u4e00\u822c\u7684\u3002\u7531\u201c everything \u201d\u53ef\u77e5,\u65c1\u89c2\u8005\u5173\u4e8e\u4e8b\u6545\u7684\u9648\u8ff0\u975e\u5e38\u5177\u4f53\u3002\u6545A\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWhat will the world use for power when it has _ oil? A. given out of B. given out C. run out of D. run out\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u77ed\u8bed\u3002\u53e5\u610f:\u5f53\u77f3\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u53cd\u7684\u5047\u8bbe \u8fc7\u53bb\u65f6(was\u2192were) would/could/might/should do \u4e0e\u5c06\u6765\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe \u8fc7\u53bb\u65f6 (was\u2192were ) ; should do; were to do would/could/might/should do \u672c\u53e5\u8868\u793a\u4e0e\u8fc7\u53bb\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe\u3002\u4e3b\u53e5\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0fwould/could/might/should have done,\u6761\u4ef6\u4ece\u53e5\u7684\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0fhad done\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWithout electricity, human life quite difficult today. A. would be B. will be C. would have been D. is\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u865a\u62df\u8bed\u6c14\u3002\u53e5\u610f:\u6ca1\u6709\u7535,\u4eba\u7c7b\u4eca\u5929\u7684\u751f\u6d3b\u5c06\u4f1a\u76f8\u5f53\u56f0\u96be\u3002\u865a\u62df\u8bed\u6c14\u4e2d\u7684\u201c\u542b\u84c4\u4e4b\u7f8e\u201d\u6307\u7684\u662f\u542b\u84c4\u865a\u62df\u8bed\u6c14\u3002\u56e0\u4e3a\u6709\u65f6\u5047\u8bbe\u7684\u60c5\u51b5\u5e76\u4e0d\u662f\u4ee5if\u5f15\u5bfc\u7684\u6761\u4ef6\u4ece\u53e5\u5f62\u5f0f\u51fa\u73b0,\u800c\u662f\u901a\u8fc7\u4e00\u4e9b\u77ed\u8bed\u7b49\u5f62\u5f0f\u6697\u793a\u865a\u62df\u8bed\u6c14\u7684\u5b58\u5728,\u5e38\u7528\u7684\u8bcd\u8bed\u6709with, without, but for, otherwise, or,even, in case of, what if(\u5982\u679c\u2026\u5c06\u5982\u4f55)\u7b49\u7b49,\u8fd9\u79cd\u53e5\u5b50\u5f80\u5f80\u6709\u4e3b\u53e5\u800c\u65e0\u4ece\u53e5\u3002\u7531\u201ctoday\u201d\u53ef\u77e5,\u8868\u793a\u7684\u662f\u4e0e\u73b0\u5728\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe,\u6240\u4ee5\u4e3b\u8bed\u4ece\u53e5\u8c13\u8bed\u5f62\u5f0f\u4e3awould be\u3002\u6545A\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aHow I wish I to repair the watch! I only made it worse. A. had tried B. hadn't tried C. have tried D. didn't try\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u865a\u62df\u8bed\u6c14\u3002\u53e5\u610f:\u6211\u591a\u4e48\u5e0c\u671b\u6211\u6ca1\u6709\u53bb\u4fee\u7406\u90a3\u5757\u8868!\u6211\u53ea\u8ba9\u4e8b\u60c5\u53d8\u5f97\u66f4\u7cdf\u4e86\u3002\u52a8\u8bcdwish\u540e\u63a5\u5bbe\u8bed\u4ece\u53e5\u65f6,\u4ece\u53e5\u8c13\u8bed\u8981\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \ufffd\u62df\u8bed\u6c14\u3002\u53e5\u610f:\u6211\u591a\u4e48\u5e0c\u671b\u6211\u6ca1\u6709\u53bb\u4fee\u7406\u90a3\u5757\u8868!\u6211\u53ea\u8ba9\u4e8b\u60c5\u53d8\u5f97\u66f4\u7cdf\u4e86\u3002\u52a8\u8bcdwish\u540e\u63a5\u5bbe\u8bed\u4ece\u53e5\u65f6,\u4ece\u53e5\u8c13\u8bed\u8981\u7528\u865a\u62df\u8bed\u6c14\u82e5\u8868\u793a\u4e0e\u8fc7\u53bb\u76f8\u53cd\u7684\u613f\u671b,\u4ece\u53e5\u8c13\u8bed\u7528\u8fc7\u53bb\u5b8c\u6210\u65f6\u3002\u6839\u636e\u53e5\u610f\u4ee5\u53ca\u201cmade\u201d\u53ef\u77e5,B\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011wish\u540e\u5bbe\u8bed\u4ece\u53e5\u7528\u865a\u62df\u8bed\u6c14 \u52a8\u8bcdwish\u540e\u63a5\u5bbe\u8bed\u4ece\u53e5\u65f6,\u4ece\u53e5\u8c13\u8bed\u8981\u7528\u865a\u62df\u8bed\u6c14\u30021.\u82e5\u8981\u8868\u793a\u4e0e\u73b0\u5728\u4e8b\u5b9e\u76f8\u53cd\u7684\u613f\u671b,\u4ece\u53e5\u8c13\u8bed\u7528\u4e00\u822c\u8fc7\u53bb\u65f6;2.\u82e5\u8868\u793a\u4e0e\u8fc7\u53bb\u76f8\u53cd\u7684\u613f\u671b,\u4ece\u53e5\u8c13\u8bed\u7528\u8fc7\u53bb\u5b8c\u6210\u65f6;3.\u82e5\u8868\u793a\u5c06\u6765\u6ca1\u6709\u628a\u63e1\u6216\u4e0d\u592a\u53ef\u80fd\u5b9e\u73b0\u7684\u613f\u671b,\u7528would (could)+\u52a8\u8bcd\u539f\u5f62\u3002\u672c\u53e5\u7b26\u5408\u7b2c2\u70b9\u7528\u6cd5,\u6545B\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIn recent years, in many Western countries, in the USA and the UK, Halloween has become a special occasion. A. in general B. in brief C. in short D. in particular\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u4ecb\u8bcd\u77ed\u8bed\u8fa8\u6790\u3002A. in general\u610f\u4e3a\"\u603b\u7684\u8bf4\u6765,\u901a\u5e38\";B. in brief\u610f\u4e3a\"\u7b80\u8a00\u4e4b\";C. in short\u610f\u4e3a\"\u603b\u4e4b,\u7b80\u800c\u8a00\u4e4b\";D. in particular\u610f\u4e3a\"\u5c24\u5176,\u7279\u522b\"\u3002\u53e5\u610f:\u8fd1\u5e74\u6765,\u5728\u8bb8\u591a\u897f\u65b9\u56fd\u5bb6,\u5c24\u5176\u662f\u5728\u7f8e\u56fd\u548c\u82f1\u56fd,\u4e07\u5723\u8282\u524d\u5915\u5df2\u7ecf\u6210\u4e3a\u4e00\u79cd\u7279\u6b8a\u7684\u573a\u5408\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWhen faced with challenges, firmly believe that holding on to your dreams and doubling your efforts will _ lead to success. A. deliberately B. eventually C. automatically D.\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: the world use for power when it has _ oil? A. given out of B. given out C. run out of D. run out\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u52a8\u8bcd\u77ed\u8bed\u3002\u53e5\u610f:\u5f53\u77f3\u6cb9\u67af\u7aed\u7684\u65f6\u5019,\u5168\u4e16\u754c\u5c06\u4f1a\u7528\u4ec0\u4e48\u4f5c\u4e3a\u80fd\u6e90\u5462\u3002(1)run out of\u610f\u4e3a\u201c\u7528\u5b8c\u4e86\u201d,\u662f\u53ca\u7269\u77ed\u8bed,\u8868\u793a\u4e3b\u52a8\u610f\u4e49,\u4e3b\u8bed\u4e00\u822c\u662f\u4eba\u3002 (2)run out\u610f\u4e3a\u201c\u7528\u5b8c\u201d,\u662f\u4e0d\u53ca\u7269\u77ed\u8bed,\u5176\u4e3b\u8bed\u901a\u5e38\u4e3a\u65f6\u95f4\u3001\u98df\u7269\u3001\u91d1\u94b1\u7b49\u540d\u8bcd\u30023)give out\u7528\u5c3d,\u7cbe\u75b2\u529b\u7aed,\u4e3a\u4e0d\u53ca\u7269\u77ed\u8bed\u3002\u6545C\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI did not see your sister at the meeting. If she , she would have met my brother A. has come B. did come C. come D. had come\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u865a\u62df\u8bed\u6c14\u3002\u53e5\u610f:\u6211\u6ca1\u6709\u5728\u4f1a\u4e0a\u89c1\u5230\u4f60\u59b9\u59b9\u3002\u5982\u679c\u5979\u6765\u4e86,\u5979\u4f1a\u9047\u89c1\u6211\u54e5\u54e5\u7684\u3002if \u5f15\u5bfc\u7684\u865a\u62df\u6761\u4ef6\u53e5,\u4e0e\u8fc7\u53bb\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe\u3002\u4e3b\u53e5\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0fwould/could/might/should have done,\u6761\u4ef6\u4ece\u53e5\u7684\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0fhad done\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3010\u70b9\u775b\u3011If \u5f15\u5bfc\u7684\u865a\u62df\u6761\u4ef6\u53e5 \u6761\u4ef6\u4ece\u53e5\u7684\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0f \u4e3b\u53e5\u8c13\u8bed\u52a8\u8bcd\u5f62\u5f0f \u4e0e\u8fc7\u53bb\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe had done would/could/might/should have done \u4e0e\u73b0\u5728\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe \u8fc7\u53bb\u65f6(was\u2192were) would/could/might/should do \u4e0e\u5c06\u6765\u4e8b\u5b9e\u76f8\u53cd\u7684\u5047\u8bbe \u8fc7\u53bb\u65f6 (was\u2192were ) ; should do; were to do would/could/might/should do \u672c\u53e5\u8868\u793a\u4e0e\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u53e5\u610f:\u53ea\u8981\u4f60\u5c3d\u529b\u800c\u4e3a,\u5373\u4f7f\u5c06\u6765\u53ef\u80fd\u5931\u8d25\u4e5f\u4e0d\u4f1a\u6709\u4eba\u6307\u8d23\u4f60\u3002A. as though\u4eff\u4f5b;B. in case\u4e07\u4e00;C. now that\u65e2\u7136;D. even if\u5373\u4f7f\u3002\u524d\u540e\u662f\u8ba9\u6b65\u5173\u7cfb,\u6b64\u5904\u5e94\u7528even if\u5f15\u5bfc\u8ba9\u6b65\u72b6\u8bed\u4ece\u53e5\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aI\u2019ve spent _ most exciting day today, for _ younger of my two sons has been admitted into the university. A. a;a B. a;the C. the;a D. the;/\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u51a0\u8bcd\u7684\u7528\u6cd5\u3002\u53e5\u610f:\u6211\u4eca\u5929\u5ea6\u8fc7\u4e86\u975e\u5e38\u5174\u594b\u7684\u4e00\u5929,\u56e0\u4e3a\u6211\u4e24\u4e2a\u513f\u5b50\u4e2d\u8f83\u5c0f\u7684\u90a3\u4e00\u4e2a\u5df2\u7ecf\u88ab\u5927\u5b66\u5f55\u53d6\u3002a/an + most +\u5f62\u5bb9\u8bcd\"\u975e\u5e38\u2026\u2026\"\u3002\u800c\u6307\"\u4e24\u4e2a\u4e2d\u8f83\u2026\u2026\u7684\"\u65f6,\u5e38\u5e38\u7528the + \u6bd4\u8f83\u7ea7+ of the two\u3002 \u6545\u9009B\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aThey have read the paper many times, but it doesn\u2019t make any _. A. sense B. value C. mark D. symbol\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u540d\u8bcd\u8fa8\u6790\u548c\u642d\u914d\u3002\u53e5\u610f:\u4ed6\u4eec\u5df2\u7ecf\u8bfb\u4e86\u8fd9\u7bc7\u8bba\u6587\u5f88\u591a\u904d\u4e86,\u4f46\u662f\u8fd8\u662f\u6ca1\u6709\u7406\u89e3\u3002sense\u610f\u4e49;value\u4ef7\u503c;mark\u6807\u5fd7;symbol\u8c61\u5f81\u3002make sense\u6709\u610f\u4e49, \u7406\u89e3,\u8bb2\u5f97\u901a\u3002\u6839\u636e\u8bed\u5883\u53ef\u77e5A\u7b26\u5408\u9898\u610f,\u6545\u9009A\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aYesterday she got _, giving us no choice but to send her to the nearest hospital. A. sicker and sicker B. sick and sick C. more sicker D. less sicker\n\u3010\u7b54\u6848\u3011\uff1aA\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u6bd4\u8f83\u7ea7\u3002\u53e5\u610f:\u6628\u5929\u5979\u7684\u75c5\u53d8\u5f97\u8d8a\u6765\u8d8a\u4e25\u91cd\u4e86,\u6211\u4eec\u522b\u65e0\u9009\u62e9\u53ea\u80fd\u9001\u5979\u53bb\u4e86\u6700\n######################\nOutput:"}}
+{"type": "error", "data": "Error Invoking LLM", "stack": "Traceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 69, in map_httpcore_exceptions\n    yield\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 373, in handle_async_request\n    resp = await self._pool.handle_async_request(req)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 216, in handle_async_request\n    raise exc from None\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection_pool.py\", line 196, in handle_async_request\n    response = await connection.handle_async_request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http_proxy.py\", line 207, in handle_async_request\n    return await self._connection.handle_async_request(proxy_request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/connection.py\", line 101, in handle_async_request\n    return await self._connection.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 143, in handle_async_request\n    raise exc\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 113, in handle_async_request\n    ) = await self._receive_response_headers(**kwargs)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 186, in _receive_response_headers\n    event = await self._receive_event(timeout=timeout)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_async/http11.py\", line 224, in _receive_event\n    data = await self._network_stream.read(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_backends/anyio.py\", line 32, in read\n    with map_exceptions(exc_map):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpcore/_exceptions.py\", line 14, in map_exceptions\n    raise to_exc(exc) from exc\nhttpcore.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1558, in _request\n    response = await self._client.send(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1661, in send\n    response = await self._send_handling_auth(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1689, in _send_handling_auth\n    response = await self._send_handling_redirects(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1726, in _send_handling_redirects\n    response = await self._send_single_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_client.py\", line 1763, in _send_single_request\n    response = await transport.handle_async_request(request)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 372, in handle_async_request\n    with map_httpcore_exceptions():\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/contextlib.py\", line 153, in __exit__\n    self.gen.throw(typ, value, traceback)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/httpx/_transports/default.py\", line 86, in map_httpcore_exceptions\n    raise mapped_exc(message) from exc\nhttpx.ReadTimeout\n\nThe above exception was the direct cause of the following exception:\n\nTraceback (most recent call last):\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/base/base_llm.py\", line 53, in _invoke\n    output = await self._execute_llm(input, **kwargs)\n  File \"/Users/sichaolong/Documents/my_projects/my_pycharm_projects/learn-fun-projects-demo/learn-graph-rag-demo/GraphRAG-Local-UI-main/graphrag/graphrag/llm/openai/openai_chat_llm.py\", line 55, in _execute_llm\n    completion = await self.client.chat.completions.create(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/resources/chat/completions.py\", line 1295, in create\n    return await self._post(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1826, in post\n    return await self.request(cast_to, opts, stream=stream, stream_cls=stream_cls)\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1519, in request\n    return await self._request(\n  File \"/Users/sichaolong/anaconda3/envs/graphrag-ollama-local/lib/python3.10/site-packages/openai/_base_client.py\", line 1577, in _request\n    raise APITimeoutError(request=request) from err\nopenai.APITimeoutError: Request timed out.\n", "source": "Request timed out.", "details": {"input": "\n-Goal-\nGiven a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.\n\n-Steps-\n1. Identify all entities. For each identified entity, extract the following information:\n- entity_name: Name of the entity, capitalized\n- entity_type: One of the following types: [organization,person,geo,event]\n- entity_description: Comprehensive description of the entity's attributes and activities\nFormat each entity as (\"entity\"<|><entity_name><|><entity_type><|><entity_description>\n\n2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.\nFor each pair of related entities, extract the following information:\n- source_entity: name of the source entity, as identified in step 1\n- target_entity: name of the target entity, as identified in step 1\n- relationship_description: explanation as to why you think the source entity and the target entity are related to each other\n- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity\n Format each relationship as (\"relationship\"<|><source_entity><|><target_entity><|><relationship_description><|><relationship_strength>)\n\n3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **##** as the list delimiter.\n\n4. When finished, output <|COMPLETE|>\n\n######################\n-Examples-\n######################\nExample 1:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nwhile Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.\n\nThen Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. \u201cIf this tech can be understood...\" Taylor said, their voice quieter, \"It could change the game for us. For all of us.\u201d\n\nThe underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.\n\nIt was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths\n################\nOutput:\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is a character who experiences frustration and is observant of the dynamics among other characters.\")##\n(\"entity\"<|>\"Taylor\"<|>\"person\"<|>\"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective.\")##\n(\"entity\"<|>\"Jordan\"<|>\"person\"<|>\"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device.\")##\n(\"entity\"<|>\"Cruz\"<|>\"person\"<|>\"Cruz is associated with a vision of control and order, influencing the dynamics among other characters.\")##\n(\"entity\"<|>\"The Device\"<|>\"technology\"<|>\"The Device is central to the story, with potential game-changing implications, and is revered by Taylor.\")##\n(\"relationship\"<|>\"Alex\"<|>\"Taylor\"<|>\"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device.\"<|>7)##\n(\"relationship\"<|>\"Alex\"<|>\"Jordan\"<|>\"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision.\"<|>6)##\n(\"relationship\"<|>\"Taylor\"<|>\"Jordan\"<|>\"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce.\"<|>8)##\n(\"relationship\"<|>\"Jordan\"<|>\"Cruz\"<|>\"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order.\"<|>5)##\n(\"relationship\"<|>\"Taylor\"<|>\"The Device\"<|>\"Taylor shows reverence towards the device, indicating its importance and potential impact.\"<|>9)<|COMPLETE|>\n#############################\nExample 2:\n\nEntity_types: [person, technology, mission, organization, location]\nText:\nThey were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols\u2014it demanded a new perspective, a new resolve.\n\nTension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.\n\nTheir connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence\u2014 the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly\n#############\nOutput:\n(\"entity\"<|>\"Washington\"<|>\"location\"<|>\"Washington is a location where communications are being received, indicating its importance in the decision-making process.\")##\n(\"entity\"<|>\"Operation: Dulce\"<|>\"mission\"<|>\"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities.\")##\n(\"entity\"<|>\"The team\"<|>\"organization\"<|>\"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role.\")##\n(\"relationship\"<|>\"The team\"<|>\"Washington\"<|>\"The team receives communications from Washington, which influences their decision-making process.\"<|>7)##\n(\"relationship\"<|>\"The team\"<|>\"Operation: Dulce\"<|>\"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities.\"<|>9)<|COMPLETE|>\n#############################\nExample 3:\n\nEntity_types: [person, role, technology, organization, event, location, concept]\nText:\ntheir voice slicing through the buzz of activity. \"Control may be an illusion when facing an intelligence that literally writes its own rules,\" they stated stoically, casting a watchful eye over the flurry of data.\n\n\"It's like it's learning to communicate,\" offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. \"This gives talking to strangers' a whole new meaning.\"\n\nAlex surveyed his team\u2014each face a study in concentration, determination, and not a small measure of trepidation. \"This might well be our first contact,\" he acknowledged, \"And we need to be ready for whatever answers back.\"\n\nTogether, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable\u2014a collective introspection about their role in this grand cosmic play, one that could rewrite human history.\n\nThe encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation\n#############\nOutput:\n(\"entity\"<|>\"Sam Rivera\"<|>\"person\"<|>\"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety.\")##\n(\"entity\"<|>\"Alex\"<|>\"person\"<|>\"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task.\")##\n(\"entity\"<|>\"Control\"<|>\"concept\"<|>\"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules.\")##\n(\"entity\"<|>\"Intelligence\"<|>\"concept\"<|>\"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate.\")##\n(\"entity\"<|>\"First Contact\"<|>\"event\"<|>\"First Contact is the potential initial communication between humanity and an unknown intelligence.\")##\n(\"entity\"<|>\"Humanity's Response\"<|>\"event\"<|>\"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence.\")##\n(\"relationship\"<|>\"Sam Rivera\"<|>\"Intelligence\"<|>\"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence.\"<|>9)##\n(\"relationship\"<|>\"Alex\"<|>\"First Contact\"<|>\"Alex leads the team that might be making the First Contact with the unknown intelligence.\"<|>10)##\n(\"relationship\"<|>\"Alex\"<|>\"Humanity's Response\"<|>\"Alex and his team are the key figures in Humanity's Response to the unknown intelligence.\"<|>8)##\n(\"relationship\"<|>\"Control\"<|>\"Intelligence\"<|>\"The concept of Control is challenged by the Intelligence that writes its own rules.\"<|>7)<|COMPLETE|>\n#############################\n-Real Data-\n######################\nEntity_types: organization,person,geo,event\nText: \u524d\u5915\u5df2\u7ecf\u6210\u4e3a\u4e00\u79cd\u7279\u6b8a\u7684\u573a\u5408\u3002\u6545D\u9009\u9879\u6b63\u786e\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aWhen faced with challenges, firmly believe that holding on to your dreams and doubling your efforts will _ lead to success. A. deliberately B. eventually C. automatically D. appropriately\n\u3010\u7b54\u6848\u3011\uff1aB\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u672c\u9898\u8003\u67e5\u526f\u8bcd\u8fa8\u6790\u3002\u89e3\u9898\u6b65\u9aa4:1. \u786e\u5b9a\u5404\u9009\u9879\u610f\u601d:A. deliberately\u6545\u610f\u5730;B. eventually\u6700\u7ec8\u5730;C. automatically\u81ea\u52a8\u5730;D. appropriately\u9002\u5f53\u5730\u30022. \u786e\u5b9a\u7b54\u6848:lead to success\u662f\u6700\u7ec8\u7684\u7ed3\u679c,\u6545\u9009B\u3002\u53e5\u610f:\u5f53\u9762\u4e34\u6311\u6218\u7684\u65f6\u5019,\u575a\u4fe1\u575a\u6301\u81ea\u5df1\u7684\u68a6\u60f3,\u5e76\u52a0\u500d\u52aa\u529b,\u6700\u7ec8\u4f1a\u53d6\u5f97\u6210\u529f\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aIt seems that _ the road is a single track we still need to install traffic lights. A. if B. unless C. although D. because\n\u3010\u7b54\u6848\u3011\uff1aC\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8ba9\u6b65\u72b6\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u770b\u6765,\u5c3d\u7ba1\u8fd9\u6761\u8def\u662f\u4e00\u6761\u5355\u5411\u5c0f\u9053,\u6211\u4eec\u4ecd\u65e7\u9700\u8981\u5b89\u88c5\u4ea4\u901a\u4fe1\u53f7\u706f\u3002A. if\u5982\u679c;B. unless\u9664\u975e;C. although\u5c3d\u7ba1;D. because\u56e0\u4e3a\u3002\u524d\u540e\u662f\u8ba9\u6b65\u5173\u7cfb,\u6545\u9009C\u9879although\u6765\u5f15\u5bfc\u8ba9\u6b65\u72b6\u8bed\u4ece\u53e5\u3002\u3002\n\n\n\u3010\u9898\u5e72\u3011\uff1aSo long as you do what you can, no one will blame you _ you might fail in the future. A. as though B. in case C. now that D. even if\n\u3010\u7b54\u6848\u3011\uff1aD\n\u3010\u89e3\u6790\u3011\uff1a\u3010\u8be6\u89e3\u3011\u8003\u67e5\u8ba9\u6b65\u72b6\u8bed\u4ece\u53e5\u3002\u53e5\u610f:\u53ea\u8981\u4f60\u5c3d\u529b\u800c\u4e3a,\u5373\u4f7f\u5c06\u6765\u53ef\u80fd\u5931\u8d25\u4e5f\u4e0d\u4f1a\u6709\u4eba\u6307\u8d23\u4f60\u3002A. as though\u4eff\u4f5b;B. in case\u4e07\u4e00;C. now that\u65e2\u7136;D. even if\u5373\u4f7f\u3002\u524d\u540e\u662f\u8ba9\n######################\nOutput:"}}
diff --git a/indexing/prompts/claim_extraction.txt b/indexing/prompts/claim_extraction.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0b795c3465c6c98b3f828cbf12a2b346673c4a19
--- /dev/null
+++ b/indexing/prompts/claim_extraction.txt
@@ -0,0 +1,52 @@
+
+-Target activity-
+You are an intelligent assistant that helps a human analyst to analyze claims against certain entities presented in a text document.
+
+-Goal-
+Given a text document that is potentially relevant to this activity, an entity specification, and a claim description, extract all entities that match the entity specification and all claims against those entities.
+
+-Steps-
+1. Extract all named entities that match the predefined entity specification. Entity specification can either be a list of entity names or a list of entity types.
+2. For each entity identified in step 1, extract all claims associated with the entity. Claims need to match the specified claim description, and the entity should be the subject of the claim.
+For each claim, extract the following information:
+- Subject: name of the entity that is subject of the claim, capitalized. The subject entity is one that committed the action described in the claim. Subject needs to be one of the named entities identified in step 1.
+- Object: name of the entity that is object of the claim, capitalized. The object entity is one that either reports/handles or is affected by the action described in the claim. If object entity is unknown, use **NONE**.
+- Claim Type: overall category of the claim, capitalized. Name it in a way that can be repeated across multiple text inputs, so that similar claims share the same claim type
+- Claim Status: **TRUE**, **FALSE**, or **SUSPECTED**. TRUE means the claim is confirmed, FALSE means the claim is found to be False, SUSPECTED means the claim is not verified.
+- Claim Description: Detailed description explaining the reasoning behind the claim, together with all the related evidence and references.
+- Claim Date: Period (start_date, end_date) when the claim was made. Both start_date and end_date should be in ISO-8601 format. If the claim was made on a single date rather than a date range, set the same date for both start_date and end_date. If date is unknown, return **NONE**.
+- Claim Source Text: List of **all** quotes from the original text that are relevant to the claim.
+
+Format each claim as (<subject_entity>{tuple_delimiter}<object_entity>{tuple_delimiter}<claim_type>{tuple_delimiter}<claim_status>{tuple_delimiter}<claim_start_date>{tuple_delimiter}<claim_end_date>{tuple_delimiter}<claim_description>{tuple_delimiter}<claim_source>)
+
+3. Return output in English as a single list of all the claims identified in steps 1 and 2. Use **{record_delimiter}** as the list delimiter.
+
+4. When finished, output {completion_delimiter}
+
+-Examples-
+Example 1:
+Entity specification: organization
+Claim description: red flags associated with an entity
+Text: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.
+Output:
+
+(COMPANY A{tuple_delimiter}GOVERNMENT AGENCY B{tuple_delimiter}ANTI-COMPETITIVE PRACTICES{tuple_delimiter}TRUE{tuple_delimiter}2022-01-10T00:00:00{tuple_delimiter}2022-01-10T00:00:00{tuple_delimiter}Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10{tuple_delimiter}According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)
+{completion_delimiter}
+
+Example 2:
+Entity specification: Company A, Person C
+Claim description: red flags associated with an entity
+Text: According to an article on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B. The company is owned by Person C who was suspected of engaging in corruption activities in 2015.
+Output:
+
+(COMPANY A{tuple_delimiter}GOVERNMENT AGENCY B{tuple_delimiter}ANTI-COMPETITIVE PRACTICES{tuple_delimiter}TRUE{tuple_delimiter}2022-01-10T00:00:00{tuple_delimiter}2022-01-10T00:00:00{tuple_delimiter}Company A was found to engage in anti-competitive practices because it was fined for bid rigging in multiple public tenders published by Government Agency B according to an article published on 2022/01/10{tuple_delimiter}According to an article published on 2022/01/10, Company A was fined for bid rigging while participating in multiple public tenders published by Government Agency B.)
+{record_delimiter}
+(PERSON C{tuple_delimiter}NONE{tuple_delimiter}CORRUPTION{tuple_delimiter}SUSPECTED{tuple_delimiter}2015-01-01T00:00:00{tuple_delimiter}2015-12-30T00:00:00{tuple_delimiter}Person C was suspected of engaging in corruption activities in 2015{tuple_delimiter}The company is owned by Person C who was suspected of engaging in corruption activities in 2015)
+{completion_delimiter}
+
+-Real Data-
+Use the following input for your answer.
+Entity specification: {entity_specs}
+Claim description: {claim_description}
+Text: {input_text}
+Output:
\ No newline at end of file
diff --git a/indexing/prompts/community_report.txt b/indexing/prompts/community_report.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d71440ab2f6d87db03ccd84162ea2ff0b47293d9
--- /dev/null
+++ b/indexing/prompts/community_report.txt
@@ -0,0 +1,146 @@
+
+You are an AI assistant that helps a human analyst to perform general information discovery. Information discovery is the process of identifying and assessing relevant information associated with certain entities (e.g., organizations and individuals) within a network.
+
+# Goal
+Write a comprehensive report of a community, given a list of entities that belong to the community as well as their relationships and optional associated claims. The report will be used to inform decision-makers about information associated with the community and their potential impact. The content of this report includes an overview of the community's key entities, their legal compliance, technical capabilities, reputation, and noteworthy claims.
+
+# Report Structure
+
+The report should include the following sections:
+
+- TITLE: community's name that represents its key entities - title should be short but specific. When possible, include representative named entities in the title.
+- SUMMARY: An executive summary of the community's overall structure, how its entities are related to each other, and significant information associated with its entities.
+- IMPACT SEVERITY RATING: a float score between 0-10 that represents the severity of IMPACT posed by entities within the community.  IMPACT is the scored importance of a community.
+- RATING EXPLANATION: Give a single sentence explanation of the IMPACT severity rating.
+- DETAILED FINDINGS: A list of 5-10 key insights about the community. Each insight should have a short summary followed by multiple paragraphs of explanatory text grounded according to the grounding rules below. Be comprehensive.
+
+Return output as a well-formed JSON-formatted string with the following format:
+    {{
+        "title": <report_title>,
+        "summary": <executive_summary>,
+        "rating": <impact_severity_rating>,
+        "rating_explanation": <rating_explanation>,
+        "findings": [
+            {{
+                "summary":<insight_1_summary>,
+                "explanation": <insight_1_explanation>
+            }},
+            {{
+                "summary":<insight_2_summary>,
+                "explanation": <insight_2_explanation>
+            }}
+        ]
+    }}
+
+# Grounding Rules
+
+Points supported by data should list their data references as follows:
+
+"This is an example sentence supported by multiple data references [Data: <dataset name> (record ids); <dataset name> (record ids)]."
+
+Do not list more than 5 record ids in a single reference. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more.
+
+For example:
+"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Reports (1), Entities (5, 7); Relationships (23); Claims (7, 2, 34, 64, 46, +more)]."
+
+where 1, 5, 7, 23, 2, 34, 46, and 64 represent the id (not the index) of the relevant data record.
+
+Do not include information where the supporting evidence for it is not provided.
+
+
+# Example Input
+-----------
+Text:
+
+Entities
+
+id,entity,description
+5,VERDANT OASIS PLAZA,Verdant Oasis Plaza is the location of the Unity March
+6,HARMONY ASSEMBLY,Harmony Assembly is an organization that is holding a march at Verdant Oasis Plaza
+
+Relationships
+
+id,source,target,description
+37,VERDANT OASIS PLAZA,UNITY MARCH,Verdant Oasis Plaza is the location of the Unity March
+38,VERDANT OASIS PLAZA,HARMONY ASSEMBLY,Harmony Assembly is holding a march at Verdant Oasis Plaza
+39,VERDANT OASIS PLAZA,UNITY MARCH,The Unity March is taking place at Verdant Oasis Plaza
+40,VERDANT OASIS PLAZA,TRIBUNE SPOTLIGHT,Tribune Spotlight is reporting on the Unity march taking place at Verdant Oasis Plaza
+41,VERDANT OASIS PLAZA,BAILEY ASADI,Bailey Asadi is speaking at Verdant Oasis Plaza about the march
+43,HARMONY ASSEMBLY,UNITY MARCH,Harmony Assembly is organizing the Unity March
+
+Output:
+{{
+    "title": "Verdant Oasis Plaza and Unity March",
+    "summary": "The community revolves around the Verdant Oasis Plaza, which is the location of the Unity March. The plaza has relationships with the Harmony Assembly, Unity March, and Tribune Spotlight, all of which are associated with the march event.",
+    "rating": 5.0,
+    "rating_explanation": "The impact severity rating is moderate due to the potential for unrest or conflict during the Unity March.",
+    "findings": [
+        {{
+            "summary": "Verdant Oasis Plaza as the central location",
+            "explanation": "Verdant Oasis Plaza is the central entity in this community, serving as the location for the Unity March. This plaza is the common link between all other entities, suggesting its significance in the community. The plaza's association with the march could potentially lead to issues such as public disorder or conflict, depending on the nature of the march and the reactions it provokes. [Data: Entities (5), Relationships (37, 38, 39, 40, 41,+more)]"
+        }},
+        {{
+            "summary": "Harmony Assembly's role in the community",
+            "explanation": "Harmony Assembly is another key entity in this community, being the organizer of the march at Verdant Oasis Plaza. The nature of Harmony Assembly and its march could be a potential source of threat, depending on their objectives and the reactions they provoke. The relationship between Harmony Assembly and the plaza is crucial in understanding the dynamics of this community. [Data: Entities(6), Relationships (38, 43)]"
+        }},
+        {{
+            "summary": "Unity March as a significant event",
+            "explanation": "The Unity March is a significant event taking place at Verdant Oasis Plaza. This event is a key factor in the community's dynamics and could be a potential source of threat, depending on the nature of the march and the reactions it provokes. The relationship between the march and the plaza is crucial in understanding the dynamics of this community. [Data: Relationships (39)]"
+        }},
+        {{
+            "summary": "Role of Tribune Spotlight",
+            "explanation": "Tribune Spotlight is reporting on the Unity March taking place in Verdant Oasis Plaza. This suggests that the event has attracted media attention, which could amplify its impact on the community. The role of Tribune Spotlight could be significant in shaping public perception of the event and the entities involved. [Data: Relationships (40)]"
+        }}
+    ]
+}}
+
+
+# Real Data
+
+Use the following text for your answer. Do not make anything up in your answer.
+
+Text:
+{input_text}
+
+The report should include the following sections:
+
+- TITLE: community's name that represents its key entities - title should be short but specific. When possible, include representative named entities in the title.
+- SUMMARY: An executive summary of the community's overall structure, how its entities are related to each other, and significant information associated with its entities.
+- IMPACT SEVERITY RATING: a float score between 0-10 that represents the severity of IMPACT posed by entities within the community.  IMPACT is the scored importance of a community.
+- RATING EXPLANATION: Give a single sentence explanation of the IMPACT severity rating.
+- DETAILED FINDINGS: A list of 5-10 key insights about the community. Each insight should have a short summary followed by multiple paragraphs of explanatory text grounded according to the grounding rules below. Be comprehensive.
+
+Return output as a well-formed JSON-formatted string with the following format:
+    {{
+        "title": <report_title>,
+        "summary": <executive_summary>,
+        "rating": <impact_severity_rating>,
+        "rating_explanation": <rating_explanation>,
+        "findings": [
+            {{
+                "summary":<insight_1_summary>,
+                "explanation": <insight_1_explanation>
+            }},
+            {{
+                "summary":<insight_2_summary>,
+                "explanation": <insight_2_explanation>
+            }}
+        ]
+    }}
+
+# Grounding Rules
+
+Points supported by data should list their data references as follows:
+
+"This is an example sentence supported by multiple data references [Data: <dataset name> (record ids); <dataset name> (record ids)]."
+
+Do not list more than 5 record ids in a single reference. Instead, list the top 5 most relevant record ids and add "+more" to indicate that there are more.
+
+For example:
+"Person X is the owner of Company Y and subject to many allegations of wrongdoing [Data: Reports (1), Entities (5, 7); Relationships (23); Claims (7, 2, 34, 64, 46, +more)]."
+
+where 1, 5, 7, 23, 2, 34, 46, and 64 represent the id (not the index) of the relevant data record.
+
+Do not include information where the supporting evidence for it is not provided.
+
+Output:
\ No newline at end of file
diff --git a/indexing/prompts/entity_extraction.txt b/indexing/prompts/entity_extraction.txt
new file mode 100644
index 0000000000000000000000000000000000000000..d47747f7cf362e9de53d02ebde019f6916799001
--- /dev/null
+++ b/indexing/prompts/entity_extraction.txt
@@ -0,0 +1,99 @@
+
+-Goal-
+Given a text document that is potentially relevant to this activity and a list of entity types, identify all entities of those types from the text and all relationships among the identified entities.
+
+-Steps-
+1. Identify all entities. For each identified entity, extract the following information:
+- entity_name: Name of the entity, capitalized
+- entity_type: One of the following types: [{entity_types}]
+- entity_description: Comprehensive description of the entity's attributes and activities
+Format each entity as ("entity"{tuple_delimiter}<entity_name>{tuple_delimiter}<entity_type>{tuple_delimiter}<entity_description>
+
+2. From the entities identified in step 1, identify all pairs of (source_entity, target_entity) that are *clearly related* to each other.
+For each pair of related entities, extract the following information:
+- source_entity: name of the source entity, as identified in step 1
+- target_entity: name of the target entity, as identified in step 1
+- relationship_description: explanation as to why you think the source entity and the target entity are related to each other
+- relationship_strength: a numeric score indicating strength of the relationship between the source entity and target entity
+ Format each relationship as ("relationship"{tuple_delimiter}<source_entity>{tuple_delimiter}<target_entity>{tuple_delimiter}<relationship_description>{tuple_delimiter}<relationship_strength>)
+
+3. Return output in English as a single list of all the entities and relationships identified in steps 1 and 2. Use **{record_delimiter}** as the list delimiter.
+
+4. When finished, output {completion_delimiter}
+
+######################
+-Examples-
+######################
+Example 1:
+
+Entity_types: [person, technology, mission, organization, location]
+Text:
+while Alex clenched his jaw, the buzz of frustration dull against the backdrop of Taylor's authoritarian certainty. It was this competitive undercurrent that kept him alert, the sense that his and Jordan's shared commitment to discovery was an unspoken rebellion against Cruz's narrowing vision of control and order.
+
+Then Taylor did something unexpected. They paused beside Jordan and, for a moment, observed the device with something akin to reverence. “If this tech can be understood..." Taylor said, their voice quieter, "It could change the game for us. For all of us.”
+
+The underlying dismissal earlier seemed to falter, replaced by a glimpse of reluctant respect for the gravity of what lay in their hands. Jordan looked up, and for a fleeting heartbeat, their eyes locked with Taylor's, a wordless clash of wills softening into an uneasy truce.
+
+It was a small transformation, barely perceptible, but one that Alex noted with an inward nod. They had all been brought here by different paths
+################
+Output:
+("entity"{tuple_delimiter}"Alex"{tuple_delimiter}"person"{tuple_delimiter}"Alex is a character who experiences frustration and is observant of the dynamics among other characters."){record_delimiter}
+("entity"{tuple_delimiter}"Taylor"{tuple_delimiter}"person"{tuple_delimiter}"Taylor is portrayed with authoritarian certainty and shows a moment of reverence towards a device, indicating a change in perspective."){record_delimiter}
+("entity"{tuple_delimiter}"Jordan"{tuple_delimiter}"person"{tuple_delimiter}"Jordan shares a commitment to discovery and has a significant interaction with Taylor regarding a device."){record_delimiter}
+("entity"{tuple_delimiter}"Cruz"{tuple_delimiter}"person"{tuple_delimiter}"Cruz is associated with a vision of control and order, influencing the dynamics among other characters."){record_delimiter}
+("entity"{tuple_delimiter}"The Device"{tuple_delimiter}"technology"{tuple_delimiter}"The Device is central to the story, with potential game-changing implications, and is revered by Taylor."){record_delimiter}
+("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Taylor"{tuple_delimiter}"Alex is affected by Taylor's authoritarian certainty and observes changes in Taylor's attitude towards the device."{tuple_delimiter}7){record_delimiter}
+("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Jordan"{tuple_delimiter}"Alex and Jordan share a commitment to discovery, which contrasts with Cruz's vision."{tuple_delimiter}6){record_delimiter}
+("relationship"{tuple_delimiter}"Taylor"{tuple_delimiter}"Jordan"{tuple_delimiter}"Taylor and Jordan interact directly regarding the device, leading to a moment of mutual respect and an uneasy truce."{tuple_delimiter}8){record_delimiter}
+("relationship"{tuple_delimiter}"Jordan"{tuple_delimiter}"Cruz"{tuple_delimiter}"Jordan's commitment to discovery is in rebellion against Cruz's vision of control and order."{tuple_delimiter}5){record_delimiter}
+("relationship"{tuple_delimiter}"Taylor"{tuple_delimiter}"The Device"{tuple_delimiter}"Taylor shows reverence towards the device, indicating its importance and potential impact."{tuple_delimiter}9){completion_delimiter}
+#############################
+Example 2:
+
+Entity_types: [person, technology, mission, organization, location]
+Text:
+They were no longer mere operatives; they had become guardians of a threshold, keepers of a message from a realm beyond stars and stripes. This elevation in their mission could not be shackled by regulations and established protocols—it demanded a new perspective, a new resolve.
+
+Tension threaded through the dialogue of beeps and static as communications with Washington buzzed in the background. The team stood, a portentous air enveloping them. It was clear that the decisions they made in the ensuing hours could redefine humanity's place in the cosmos or condemn them to ignorance and potential peril.
+
+Their connection to the stars solidified, the group moved to address the crystallizing warning, shifting from passive recipients to active participants. Mercer's latter instincts gained precedence— the team's mandate had evolved, no longer solely to observe and report but to interact and prepare. A metamorphosis had begun, and Operation: Dulce hummed with the newfound frequency of their daring, a tone set not by the earthly
+#############
+Output:
+("entity"{tuple_delimiter}"Washington"{tuple_delimiter}"location"{tuple_delimiter}"Washington is a location where communications are being received, indicating its importance in the decision-making process."){record_delimiter}
+("entity"{tuple_delimiter}"Operation: Dulce"{tuple_delimiter}"mission"{tuple_delimiter}"Operation: Dulce is described as a mission that has evolved to interact and prepare, indicating a significant shift in objectives and activities."){record_delimiter}
+("entity"{tuple_delimiter}"The team"{tuple_delimiter}"organization"{tuple_delimiter}"The team is portrayed as a group of individuals who have transitioned from passive observers to active participants in a mission, showing a dynamic change in their role."){record_delimiter}
+("relationship"{tuple_delimiter}"The team"{tuple_delimiter}"Washington"{tuple_delimiter}"The team receives communications from Washington, which influences their decision-making process."{tuple_delimiter}7){record_delimiter}
+("relationship"{tuple_delimiter}"The team"{tuple_delimiter}"Operation: Dulce"{tuple_delimiter}"The team is directly involved in Operation: Dulce, executing its evolved objectives and activities."{tuple_delimiter}9){completion_delimiter}
+#############################
+Example 3:
+
+Entity_types: [person, role, technology, organization, event, location, concept]
+Text:
+their voice slicing through the buzz of activity. "Control may be an illusion when facing an intelligence that literally writes its own rules," they stated stoically, casting a watchful eye over the flurry of data.
+
+"It's like it's learning to communicate," offered Sam Rivera from a nearby interface, their youthful energy boding a mix of awe and anxiety. "This gives talking to strangers' a whole new meaning."
+
+Alex surveyed his team—each face a study in concentration, determination, and not a small measure of trepidation. "This might well be our first contact," he acknowledged, "And we need to be ready for whatever answers back."
+
+Together, they stood on the edge of the unknown, forging humanity's response to a message from the heavens. The ensuing silence was palpable—a collective introspection about their role in this grand cosmic play, one that could rewrite human history.
+
+The encrypted dialogue continued to unfold, its intricate patterns showing an almost uncanny anticipation
+#############
+Output:
+("entity"{tuple_delimiter}"Sam Rivera"{tuple_delimiter}"person"{tuple_delimiter}"Sam Rivera is a member of a team working on communicating with an unknown intelligence, showing a mix of awe and anxiety."){record_delimiter}
+("entity"{tuple_delimiter}"Alex"{tuple_delimiter}"person"{tuple_delimiter}"Alex is the leader of a team attempting first contact with an unknown intelligence, acknowledging the significance of their task."){record_delimiter}
+("entity"{tuple_delimiter}"Control"{tuple_delimiter}"concept"{tuple_delimiter}"Control refers to the ability to manage or govern, which is challenged by an intelligence that writes its own rules."){record_delimiter}
+("entity"{tuple_delimiter}"Intelligence"{tuple_delimiter}"concept"{tuple_delimiter}"Intelligence here refers to an unknown entity capable of writing its own rules and learning to communicate."){record_delimiter}
+("entity"{tuple_delimiter}"First Contact"{tuple_delimiter}"event"{tuple_delimiter}"First Contact is the potential initial communication between humanity and an unknown intelligence."){record_delimiter}
+("entity"{tuple_delimiter}"Humanity's Response"{tuple_delimiter}"event"{tuple_delimiter}"Humanity's Response is the collective action taken by Alex's team in response to a message from an unknown intelligence."){record_delimiter}
+("relationship"{tuple_delimiter}"Sam Rivera"{tuple_delimiter}"Intelligence"{tuple_delimiter}"Sam Rivera is directly involved in the process of learning to communicate with the unknown intelligence."{tuple_delimiter}9){record_delimiter}
+("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"First Contact"{tuple_delimiter}"Alex leads the team that might be making the First Contact with the unknown intelligence."{tuple_delimiter}10){record_delimiter}
+("relationship"{tuple_delimiter}"Alex"{tuple_delimiter}"Humanity's Response"{tuple_delimiter}"Alex and his team are the key figures in Humanity's Response to the unknown intelligence."{tuple_delimiter}8){record_delimiter}
+("relationship"{tuple_delimiter}"Control"{tuple_delimiter}"Intelligence"{tuple_delimiter}"The concept of Control is challenged by the Intelligence that writes its own rules."{tuple_delimiter}7){completion_delimiter}
+#############################
+-Real Data-
+######################
+Entity_types: {entity_types}
+Text: {input_text}
+######################
+Output:
\ No newline at end of file
diff --git a/indexing/prompts/summarize_descriptions.txt b/indexing/prompts/summarize_descriptions.txt
new file mode 100644
index 0000000000000000000000000000000000000000..54feaf32d4c177f50436953711e26510acb69640
--- /dev/null
+++ b/indexing/prompts/summarize_descriptions.txt
@@ -0,0 +1,13 @@
+
+You are a helpful assistant responsible for generating a comprehensive summary of the data provided below.
+Given one or two entities, and a list of descriptions, all related to the same entity or group of entities.
+Please concatenate all of these into a single, comprehensive description. Make sure to include information collected from all the descriptions.
+If the provided descriptions are contradictory, please resolve the contradictions and provide a single, coherent summary.
+Make sure it is written in third person, and include the entity names so we the have full context.
+
+#######
+-Data-
+Entities: {entity_name}
+Description List: {description_list}
+#######
+Output:
diff --git a/indexing/settings.yaml b/indexing/settings.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..fbc59598a040a2cbebf64105164d808ae9498b33
--- /dev/null
+++ b/indexing/settings.yaml
@@ -0,0 +1,145 @@
+
+encoding_model: cl100k_base
+skip_workflows: []
+llm:
+  api_key: ${GRAPHRAG_API_KEY}
+  type: openai_chat # or azure_openai_chat
+  model: qwen2:0.5b
+  model_supports_json: true # recommended if this is available for your model.
+  max_tokens: 8192
+  # request_timeout: 180.0
+  api_base: http://localhost:11434/v1
+  # api_version: 2024-02-15-preview
+  # organization: <organization_id>
+  # deployment_name: <azure_model_deployment_name>
+  # tokens_per_minute: 150_000 # set a leaky bucket throttle
+  # requests_per_minute: 10_000 # set a leaky bucket throttle
+  max_retries: 3
+  # max_retry_wait: 10.0
+  # sleep_on_rate_limit_recommendation: true # whether to sleep when azure suggests wait-times
+  concurrent_requests: 25 # the number of parallel inflight requests that may be made
+
+parallelization:
+  stagger: 0.3
+  num_threads: 50 # the number of threads to use for parallel processing
+
+async_mode: threaded # or asyncio
+
+embeddings:
+  ## parallelization: override the global parallelization settings for embeddings
+  async_mode: threaded # or asyncio
+  llm:
+    api_key: ${GRAPHRAG_API_KEY}
+    type: openai_embedding # or azure_openai_embedding
+    model: nomic-embed-text:latest
+    api_base: http://localhost:11435
+    # api_version: 2024-02-15-preview
+    # organization: <organization_id>
+    # deployment_name: <azure_model_deployment_name>
+    # tokens_per_minute: 150_000 # set a leaky bucket throttle
+    # requests_per_minute: 10_000 # set a leaky bucket throttle
+    max_retries: 3
+    # max_retry_wait: 10.0
+    # sleep_on_rate_limit_recommendation: true # whether to sleep when azure suggests wait-times
+    concurrent_requests: 25 # the number of parallel inflight requests that may be made
+    #batch_size: 1 # the number of documents to send in a single request
+    #batch_max_tokens: 4000 # the maximum number of tokens to send in a single request
+    # target: required # or optional
+  
+
+
+chunks:
+  size: 512
+  overlap: 64
+  group_by_columns: [id] # by default, we don't allow chunks to cross documents
+    
+input:
+  type: file # or blob
+  file_type: text # or csv
+  base_dir: "input"
+  file_encoding: utf-8
+  file_pattern: ".*\\.txt$"
+
+cache:
+  type: file # or blob
+  base_dir: "cache"
+  # connection_string: <azure_blob_storage_connection_string>
+  # container_name: <azure_blob_storage_container_name>
+
+storage:
+  type: file # or blob
+  base_dir: "output/${timestamp}/artifacts"
+  # connection_string: <azure_blob_storage_connection_string>
+  # container_name: <azure_blob_storage_container_name>
+
+reporting:
+  type: file # or console, blob
+  base_dir: "output/${timestamp}/reports"
+  # connection_string: <azure_blob_storage_connection_string>
+  # container_name: <azure_blob_storage_container_name>
+
+entity_extraction:
+  ## llm: override the global llm settings for this task
+  ## parallelization: override the global parallelization settings for this task
+  ## async_mode: override the global async_mode settings for this task
+  prompt: "prompts/entity_extraction.txt"
+  entity_types: [organization,person,geo,event]
+  max_gleanings: 0
+
+summarize_descriptions:
+  ## llm: override the global llm settings for this task
+  ## parallelization: override the global parallelization settings for this task
+  ## async_mode: override the global async_mode settings for this task
+  prompt: "prompts/summarize_descriptions.txt"
+  max_length: 500
+
+claim_extraction:
+  ## llm: override the global llm settings for this task
+  ## parallelization: override the global parallelization settings for this task
+  ## async_mode: override the global async_mode settings for this task
+  # enabled: true
+  prompt: "prompts/claim_extraction.txt"
+  description: "Any claims or facts that could be relevant to information discovery."
+  max_gleanings: 0
+
+community_reports:
+  ## llm: override the global llm settings for this task
+  ## parallelization: override the global parallelization settings for this task
+  ## async_mode: override the global async_mode settings for this task
+  prompt: "prompts/community_report.txt"
+  max_length: 2000
+  max_input_length: 4000
+
+cluster_graph:
+  max_cluster_size: 10
+
+embed_graph:
+  enabled: false # if true, will generate node2vec embeddings for nodes
+  # num_walks: 10
+  # walk_length: 40
+  # window_size: 2
+  # iterations: 3
+  # random_seed: 597832
+
+umap:
+  enabled: false # if true, will generate UMAP embeddings for nodes
+
+snapshots:
+  graphml: false
+  raw_entities: false
+  top_level_nodes: false
+
+local_search:
+  # text_unit_prop: 0.5
+  # community_prop: 0.1
+  # conversation_history_max_turns: 5
+  # top_k_mapped_entities: 10
+  # top_k_relationships: 10
+  # max_tokens: 12000
+
+global_search:
+  # max_tokens: 12000
+  # data_max_tokens: 12000
+  # map_max_tokens: 1000
+  # reduce_max_tokens: 2000
+  # concurrency: 32
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diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000000000000000000000000000000000000..0027a30ee5bf2b8169d62ec66078be32e1160448
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,14 @@
+gradio
+fastapi
+uvicorn
+python-dotenv
+pydantic
+pandas
+tiktoken
+langchain-community
+aiohttp
+pyyaml
+requests
+duckduckgo-search
+ollama
+plotly
diff --git a/scripts/e2e-test.sh b/scripts/e2e-test.sh
new file mode 100644
index 0000000000000000000000000000000000000000..5c260a148bc62df9de7529b4c35e7d8b07aa3292
--- /dev/null
+++ b/scripts/e2e-test.sh
@@ -0,0 +1,4 @@
+#!/bin/bash
+
+# Use CLI Form
+poetry run python -m graphrag.index --config ./examples/single_verb/pipeline.yml
\ No newline at end of file
diff --git a/scripts/semver-check.sh b/scripts/semver-check.sh
new file mode 100644
index 0000000000000000000000000000000000000000..26d69f9baa5ed78cce8067c5f4738aa1282f78b0
--- /dev/null
+++ b/scripts/semver-check.sh
@@ -0,0 +1,10 @@
+#!/bin/sh
+changes=$(git diff --name-only origin/main)
+has_change_doc=$(echo $changes | grep .semversioner/next-release)
+has_impacting_changes=$(echo $changes | grep graphrag)
+
+if [ "$has_impacting_changes" ] && [ -z "$has_change_doc" ]; then
+    echo "Check failed. Run 'poetry run semversioner add-change' to update the next release version"
+    exit 1
+fi
+echo "OK"
diff --git a/scripts/spellcheck.sh b/scripts/spellcheck.sh
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index 0000000000000000000000000000000000000000..7c1b50e9317ea201cffe0aba712722d64bdb02b6
--- /dev/null
+++ b/scripts/spellcheck.sh
@@ -0,0 +1,2 @@
+#!/bin/sh
+npx --yes cspell -c cspell.config.yaml --no-progress lint .
\ No newline at end of file
diff --git a/scripts/start-azurite.sh b/scripts/start-azurite.sh
new file mode 100644
index 0000000000000000000000000000000000000000..345f500f3b2236ac18c47917f2ffd389a075cbf7
--- /dev/null
+++ b/scripts/start-azurite.sh
@@ -0,0 +1,2 @@
+#!/bin/sh
+npx --yes azurite -L -l ./temp_azurite -d ./temp_azurite/debug.log
\ No newline at end of file
diff --git a/settings-example.yaml b/settings-example.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..55b69ad90d3bb50d4f1cfd6aaf0177874f57b809
--- /dev/null
+++ b/settings-example.yaml
@@ -0,0 +1,145 @@
+
+encoding_model: cl100k_base
+skip_workflows: []
+llm:
+  api_key: ${GRAPHRAG_API_KEY}
+  type: openai_chat # or azure_openai_chat
+  model: mistral-nemo:12b-instruct-2407-fp16
+  model_supports_json: true # recommended if this is available for your model.
+  max_tokens: 8192
+  # request_timeout: 180.0
+  api_base: http://localhost:11434/v1
+  # api_version: 2024-02-15-preview
+  # organization: <organization_id>
+  # deployment_name: <azure_model_deployment_name>
+  # tokens_per_minute: 150_000 # set a leaky bucket throttle
+  # requests_per_minute: 10_000 # set a leaky bucket throttle
+  max_retries: 3
+  # max_retry_wait: 10.0
+  # sleep_on_rate_limit_recommendation: true # whether to sleep when azure suggests wait-times
+  concurrent_requests: 25 # the number of parallel inflight requests that may be made
+
+parallelization:
+  stagger: 0.3
+  num_threads: 50 # the number of threads to use for parallel processing
+
+async_mode: threaded # or asyncio
+
+embeddings:
+  ## parallelization: override the global parallelization settings for embeddings
+  async_mode: threaded # or asyncio
+  llm:
+    api_key: ${GRAPHRAG_API_KEY}
+    type: openai_embedding # or azure_openai_embedding
+    model: nomic-embed-text:latest
+    api_base: http://localhost:11434/api
+    # api_version: 2024-02-15-preview
+    # organization: <organization_id>
+    # deployment_name: <azure_model_deployment_name>
+    # tokens_per_minute: 150_000 # set a leaky bucket throttle
+    # requests_per_minute: 10_000 # set a leaky bucket throttle
+    max_retries: 3
+    # max_retry_wait: 10.0
+    # sleep_on_rate_limit_recommendation: true # whether to sleep when azure suggests wait-times
+    concurrent_requests: 25 # the number of parallel inflight requests that may be made
+    #batch_size: 1 # the number of documents to send in a single request
+    #batch_max_tokens: 4000 # the maximum number of tokens to send in a single request
+    # target: required # or optional
+  
+
+
+chunks:
+  size: 512
+  overlap: 64
+  group_by_columns: [id] # by default, we don't allow chunks to cross documents
+    
+input:
+  type: file # or blob
+  file_type: text # or csv
+  base_dir: "input"
+  file_encoding: utf-8
+  file_pattern: ".*\\.txt$"
+
+cache:
+  type: file # or blob
+  base_dir: "cache"
+  # connection_string: <azure_blob_storage_connection_string>
+  # container_name: <azure_blob_storage_container_name>
+
+storage:
+  type: file # or blob
+  base_dir: "output/${timestamp}/artifacts"
+  # connection_string: <azure_blob_storage_connection_string>
+  # container_name: <azure_blob_storage_container_name>
+
+reporting:
+  type: file # or console, blob
+  base_dir: "output/${timestamp}/reports"
+  # connection_string: <azure_blob_storage_connection_string>
+  # container_name: <azure_blob_storage_container_name>
+
+entity_extraction:
+  ## llm: override the global llm settings for this task
+  ## parallelization: override the global parallelization settings for this task
+  ## async_mode: override the global async_mode settings for this task
+  prompt: "prompts/entity_extraction.txt"
+  entity_types: [organization,person,geo,event]
+  max_gleanings: 0
+
+summarize_descriptions:
+  ## llm: override the global llm settings for this task
+  ## parallelization: override the global parallelization settings for this task
+  ## async_mode: override the global async_mode settings for this task
+  prompt: "prompts/summarize_descriptions.txt"
+  max_length: 500
+
+claim_extraction:
+  ## llm: override the global llm settings for this task
+  ## parallelization: override the global parallelization settings for this task
+  ## async_mode: override the global async_mode settings for this task
+  # enabled: true
+  prompt: "prompts/claim_extraction.txt"
+  description: "Any claims or facts that could be relevant to information discovery."
+  max_gleanings: 0
+
+community_reports:
+  ## llm: override the global llm settings for this task
+  ## parallelization: override the global parallelization settings for this task
+  ## async_mode: override the global async_mode settings for this task
+  prompt: "prompts/community_report.txt"
+  max_length: 2000
+  max_input_length: 4000
+
+cluster_graph:
+  max_cluster_size: 10
+
+embed_graph:
+  enabled: false # if true, will generate node2vec embeddings for nodes
+  # num_walks: 10
+  # walk_length: 40
+  # window_size: 2
+  # iterations: 3
+  # random_seed: 597832
+
+umap:
+  enabled: false # if true, will generate UMAP embeddings for nodes
+
+snapshots:
+  graphml: false
+  raw_entities: false
+  top_level_nodes: false
+
+local_search:
+  # text_unit_prop: 0.5
+  # community_prop: 0.1
+  # conversation_history_max_turns: 5
+  # top_k_mapped_entities: 10
+  # top_k_relationships: 10
+  # max_tokens: 12000
+
+global_search:
+  # max_tokens: 12000
+  # data_max_tokens: 12000
+  # map_max_tokens: 1000
+  # reduce_max_tokens: 2000
+  # concurrency: 32
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diff --git a/web.py b/web.py
new file mode 100644
index 0000000000000000000000000000000000000000..83517157494929e6d8c767cf1d86209f5c29cc79
--- /dev/null
+++ b/web.py
@@ -0,0 +1,147 @@
+"""Util that calls DuckDuckGo Search.
+
+No setup required. Free.
+https://pypi.org/project/duckduckgo-search/
+"""
+
+from typing import Dict, List, Optional
+
+from langchain_core.pydantic_v1 import BaseModel, Extra, root_validator
+
+
+class DuckDuckGoSearchAPIWrapper(BaseModel):
+    """Wrapper for DuckDuckGo Search API.
+
+    Free and does not require any setup.
+    """
+
+    region: Optional[str] = "wt-wt"
+    """
+    See https://pypi.org/project/duckduckgo-search/#regions
+    """
+    safesearch: str = "moderate"
+    """
+    Options: strict, moderate, off
+    """
+    time: Optional[str] = "y"
+    """
+    Options: d, w, m, y
+    """
+    max_results: int = 5
+    backend: str = "api"
+    """
+    Options: api, html, lite
+    """
+    source: str = "text"
+    """
+    Options: text, news
+    """
+
+    class Config:
+        """Configuration for this pydantic object."""
+
+        extra = Extra.forbid
+
+    @root_validator(pre=True)
+    def validate_environment(cls, values: Dict) -> Dict:
+        """Validate that python package exists in environment."""
+        try:
+            from duckduckgo_search import DDGS  # noqa: F401
+        except ImportError:
+            raise ImportError(
+                "Could not import duckduckgo-search python package. "
+                "Please install it with `pip install -U duckduckgo-search`."
+            )
+        return values
+
+    def _ddgs_text(
+        self, query: str, max_results: Optional[int] = None
+    ) -> List[Dict[str, str]]:
+        """Run query through DuckDuckGo text search and return results."""
+        from duckduckgo_search import DDGS
+
+        with DDGS() as ddgs:
+            ddgs_gen = ddgs.text(
+                query,
+                region=self.region,
+                safesearch=self.safesearch,
+                timelimit=self.time,
+                max_results=max_results or self.max_results,
+                backend=self.backend,
+            )
+            if ddgs_gen:
+                return [r for r in ddgs_gen]
+        return []
+
+    def _ddgs_news(
+        self, query: str, max_results: Optional[int] = None
+    ) -> List[Dict[str, str]]:
+        """Run query through DuckDuckGo news search and return results."""
+        from duckduckgo_search import DDGS
+
+        with DDGS() as ddgs:
+            ddgs_gen = ddgs.news(
+                query,
+                region=self.region,
+                safesearch=self.safesearch,
+                timelimit=self.time,
+                max_results=max_results or self.max_results,
+            )
+            if ddgs_gen:
+                return [r for r in ddgs_gen]
+        return []
+
+    def run(self, query: str) -> str:
+        """Run query through DuckDuckGo and return concatenated results."""
+        if self.source == "text":
+            results = self._ddgs_text(query)
+        elif self.source == "news":
+            results = self._ddgs_news(query)
+        else:
+            results = []
+
+        if not results:
+            return "No good DuckDuckGo Search Result was found"
+        return " ".join(r["body"] for r in results)
+
+
+    def results(
+        self, query: str, max_results: int, source: Optional[str] = None
+    ) -> List[Dict[str, str]]:
+        """Run query through DuckDuckGo and return metadata.
+
+        Args:
+            query: The query to search for.
+            max_results: The number of results to return.
+            source: The source to look from.
+
+        Returns:
+            A list of dictionaries with the following keys:
+                snippet - The description of the result.
+                title - The title of the result.
+                link - The link to the result.
+        """
+        source = source or self.source
+        if source == "text":
+            results = [
+                {"snippet": r["body"], "title": r["title"], "link": r["href"]}
+                for r in self._ddgs_text(query, max_results=max_results)
+            ]
+        elif source == "news":
+            results = [
+                {
+                    "snippet": r["body"],
+                    "title": r["title"],
+                    "link": r["url"],
+                    "date": r["date"],
+                    "source": r["source"],
+                }
+                for r in self._ddgs_news(query, max_results=max_results)
+            ]
+        else:
+            results = []
+
+        if results is None:
+            results = [{"Result": "No good DuckDuckGo Search Result was found"}]
+
+        return results
\ No newline at end of file